From 74cf3c5a8d57bcde9ed1302dfa2426ed32bac481 Mon Sep 17 00:00:00 2001 From: Jin Date: Mon, 9 Dec 2024 12:33:39 +0800 Subject: [PATCH 01/49] doc: update for inner repo (GraphPlatform-4190) Change-Id: I31e9532990c2e7e09ddf518ac9c35cdf996a5a25 doc: update repo & url link for inner repo Change-Id: Ieac00904c4ab793de87c1cae7324e3d2d7946884 doc: update repo & url link for inner repo (GraphPlatform-4190) doc: update the link info --- README.md | 37 +++---------------- hugegraph-llm/README.md | 13 ++----- hugegraph-llm/setup.py | 2 +- .../demo/rag_demo/vector_graph_block.py | 4 +- hugegraph-ml/README.md | 28 ++++++++------ hugegraph-python-client/README.md | 6 --- 6 files changed, 29 insertions(+), 61 deletions(-) diff --git a/README.md b/README.md index 197161b73..1a00919e8 100644 --- a/README.md +++ b/README.md @@ -2,9 +2,8 @@ [![License](https://img.shields.io/badge/license-Apache%202-0E78BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html) -`hugegraph-ai` aims to explore the integration of [HugeGraph](https://github.com/apache/hugegraph) with artificial -intelligence (AI) and provide comprehensive support for developers to leverage HugeGraph's AI capabilities -in their projects. +`hugegraph-ai` aims to explore the integration of HugeGraph with artificial intelligence (AI) and provide comprehensive support for +developers to leverage HugeGraph's AI capabilities in their projects. ## Modules @@ -21,37 +20,11 @@ to seamlessly connect with third-party graph-related ML frameworks. It is used to define graph structures and perform CRUD operations on graph data. Both the `hugegraph-llm` and `hugegraph-ml` modules will depend on this foundational library. -## Learn More - -The [project homepage](https://hugegraph.apache.org/docs/quickstart/hugegraph-ai/) contains more information about -hugegraph-ai. - -And here are links of other repositories: -1. [hugegraph](https://github.com/apache/hugegraph) (graph's core component - Graph server + PD + Store) -2. [hugegraph-toolchain](https://github.com/apache/hugegraph-toolchain) (graph tools **[loader](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-loader)/[dashboard](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-hubble)/[tool](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-tools)/[client](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-client)**) -3. [hugegraph-computer](https://github.com/apache/hugegraph-computer) (integrated **graph computing** system) -4. [hugegraph-website](https://github.com/apache/hugegraph-doc) (**doc & website** code) - - ## Contributing -- Welcome to contribute to HugeGraph, please see [Guidelines](https://hugegraph.apache.org/docs/contribution-guidelines/) for more information. -- Note: It's recommended to use [GitHub Desktop](https://desktop.github.com/) to greatly simplify the PR and commit process. -- Code format: Please run [`./style/code_format_and_analysis.sh`](style/code_format_and_analysis.sh) to format your code before submitting a PR. -- Thank you to all the people who already contributed to HugeGraph! - -[![contributors graph](https://contrib.rocks/image?repo=apache/incubator-hugegraph-ai)](https://github.com/apache/incubator-hugegraph-ai/graphs/contributors) - - -## License - -hugegraph-ai is licensed under [Apache 2.0 License](./LICENSE). - +- Code format: Please run [`./style/code_format_and_analysis.sh`](style/code_format_and_analysis.sh) to format your code before submitting a MR. ## Contact Us - - [GitHub Issues](https://github.com/apache/incubator-hugegraph-ai/issues): Feedback on usage issues and functional requirements (quick response) - - Feedback Email: [dev@hugegraph.apache.org](mailto:dev@hugegraph.apache.org) ([subscriber](https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/) only) - - WeChat public account: Apache HugeGraph, welcome to scan this QR code to follow us. - - QR png + - 如流 HugeGraph Team/Group + - GraphRAG DevOps Team (🚧) diff --git a/hugegraph-llm/README.md b/hugegraph-llm/README.md index 49fe502a8..66873d3c4 100644 --- a/hugegraph-llm/README.md +++ b/hugegraph-llm/README.md @@ -22,11 +22,10 @@ graph systems and large language models. ## 3. Preparation -1. Start the HugeGraph database, you can run it via [Docker](https://hub.docker.com/r/hugegraph/hugegraph)/[Binary Package](https://hugegraph.apache.org/docs/download/download/). - Refer to detailed [doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#31-use-docker-container-convenient-for-testdev) for more guidance +1. Start the HugeGraph database, you can contact HugeGraph Team for the environment. 2. Clone this project ```bash - git clone https://github.com/apache/incubator-hugegraph-ai.git + git clone https://{username}@icode.baidu.com/baidu/starhugegraph/hugegraph-ai ``` 3. Install [hugegraph-python-client](../hugegraph-python-client) and [hugegraph_llm](src/hugegraph_llm) ```bash @@ -52,10 +51,6 @@ graph systems and large language models. ```bash python3 -m hugegraph_llm.config.generate --update ``` -7. (__Optional__) You could use - [hugegraph-hubble](https://hugegraph.apache.org/docs/quickstart/hugegraph-hubble/#21-use-docker-convenient-for-testdev) - to visit the graph data, could run it via [Docker/Docker-Compose](https://hub.docker.com/r/hugegraph/hubble) - for guidance. (Hubble is a graph-analysis dashboard include data loading/schema management/graph traverser/display). 8. (__Optional__) offline download NLTK stopwords ```bash python ./hugegraph_llm/operators/common_op/nltk_helper.py @@ -72,8 +67,8 @@ graph systems and large language models. - Docs: - text: Build rag index from plain text - file: Upload file(s) which should be TXT or .docx (Multiple files can be selected together) -- [Schema](https://hugegraph.apache.org/docs/clients/restful-api/schema/): (Except **2 types**) - - User-defined Schema (JSON format, follow the [template](https://github.com/apache/incubator-hugegraph-ai/blob/aff3bbe25fa91c3414947a196131be812c20ef11/hugegraph-llm/src/hugegraph_llm/config/config_data.py#L125) +- [Schema](https://starhugegraph.github.io/hugegraph-doc/clients/restful-api-v3/schema.html): (Accept **2 types**) + - User-defined Schema (JSON format, follow the [template](https://console.cloud.baidu-int.com/devops/icode/repos/baidu/starhugegraph/hugegraph-ai/blob/master/hugegraph-llm/src/hugegraph_llm/config/config_data.py#L173) to modify it) - Specify the name of the HugeGraph graph instance, it will automatically get the schema from it (like **"hugegraph"**) diff --git a/hugegraph-llm/setup.py b/hugegraph-llm/setup.py index ad9877f99..a868e1fc5 100644 --- a/hugegraph-llm/setup.py +++ b/hugegraph-llm/setup.py @@ -34,7 +34,7 @@ description="Integrating Apache HugeGraph with LLM.", long_description=long_description, long_description_content_type="text/markdown", - url="https://github.com/apache/incubator-hugegraph-ai", + url="https://icode.baidu.com/baidu/starhugegraph/hugegraph-ai", packages=setuptools.find_packages(where="src", exclude=["tests"]), package_dir={"": "src"}, classifiers=[ diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/vector_graph_block.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/vector_graph_block.py index 1e48e21b7..cedf45d76 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/vector_graph_block.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/vector_graph_block.py @@ -46,8 +46,8 @@ def create_vector_graph_block(): - Docs: - text: Build rag index from plain text - file: Upload file(s) which should be TXT or .docx (Multiple files can be selected together) -- [Schema](https://hugegraph.apache.org/docs/clients/restful-api/schema/): (Accept **2 types**) - - User-defined Schema (JSON format, follow the [template](https://github.com/apache/incubator-hugegraph-ai/blob/aff3bbe25fa91c3414947a196131be812c20ef11/hugegraph-llm/src/hugegraph_llm/config/config_data.py#L125) +- [Schema](https://starhugegraph.github.io/hugegraph-doc/clients/restful-api-v3/schema.html): (Accept **2 types**) + - User-defined Schema (JSON format, follow the [template](https://console.cloud.baidu-int.com/devops/icode/repos/baidu/starhugegraph/hugegraph-ai/blob/master/hugegraph-llm/src/hugegraph_llm/config/config_data.py#L173) to modify it) - Specify the name of the HugeGraph graph instance, it will automatically get the schema from it (like **"hugegraph"**) diff --git a/hugegraph-ml/README.md b/hugegraph-ml/README.md index c6fca7f90..1465db9bb 100644 --- a/hugegraph-ml/README.md +++ b/hugegraph-ml/README.md @@ -1,14 +1,16 @@ - # hugegraph-ml +# hugegraph-ml ## Summary -`hugegraph-ml` is a tool that integrates HugeGraph with popular graph learning libraries. -It implements most graph learning algorithms, enabling users to perform end-to-end graph learning workflows directly from HugeGraph using `hugegraph-ml`. -Graph data can be read directly from `HugeGraph` and used for tasks such as node embedding, node classification, and graph classification. +`hugegraph-ml` is a tool that integrates HugeGraph with popular graph learning libraries. +It implements most graph learning algorithms, enabling users to perform end-to-end graph learning workflows directly +from HugeGraph using `hugegraph-ml`. +Graph data can be read directly from `HugeGraph` and used for tasks such as node embedding, node classification, and +graph classification. The implemented algorithm models can be found in the [models](./src/hugegraph_ml/models) folder. | model | paper | -| ----------- | -------------------------------------------------- | +|-------------|----------------------------------------------------| | AGNN | https://arxiv.org/abs/1803.03735 | | APPNP | https://arxiv.org/abs/1810.05997 | | ARMA | https://arxiv.org/abs/1901.01343 | @@ -30,13 +32,16 @@ The implemented algorithm models can be found in the [models](./src/hugegraph_ml ## Environment Requirements -- python 3.9+ +- python 3.9+ - hugegraph-server 1.0+ ## Preparation -1. Start the HugeGraph database, you can do it via Docker/[Binary packages](https://hugegraph.apache.org/docs/download/download/). - Refer to [docker-link](https://hub.docker.com/r/hugegraph/hugegraph) & [deploy-doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#31-use-docker-container-convenient-for-testdev) for guidance +1. Start the HugeGraph database, you can do it via + Docker/[Binary packages](https://hugegraph.apache.org/docs/download/download/). + Refer + to [docker-link](https://hub.docker.com/r/hugegraph/hugegraph) & [deploy-doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#31-use-docker-container-convenient-for-testdev) + for guidance 2. Clone this project @@ -63,7 +68,7 @@ The implemented algorithm models can be found in the [models](./src/hugegraph_ml ### Perform node embedding on the `Cora` dataset using the `DGI` model -Make sure that the Cora dataset is already in your HugeGraph database. +Make sure that the Cora dataset is already in your HugeGraph database. If not, you can run the `import_graph_from_dgl` function to import the `Cora` dataset from `DGL` into the `HugeGraph` database. @@ -74,6 +79,7 @@ import_graph_from_dgl("cora") ``` Run [dgi_example.py](./src/hugegraph_ml/examples/dgi_example.py) to view the example. + ```bash python ./hugegraph_ml/examples/dgi_example.py ``` @@ -112,8 +118,8 @@ embedded_graph = node_embed_task.train_and_embed(add_self_loop=True, n_epochs=30 ```python model = MLPClassifier( - n_in_feat=embedded_graph.ndata["feat"].shape[1], - n_out_feat=embedded_graph.ndata["label"].unique().shape[0] + n_in_feat=embedded_graph.ndata["feat"].shape[1], + n_out_feat=embedded_graph.ndata["label"].unique().shape[0] ) node_clf_task = NodeClassify(graph=embedded_graph, model=model) node_clf_task.train(lr=1e-3, n_epochs=400, patience=40) diff --git a/hugegraph-python-client/README.md b/hugegraph-python-client/README.md index 85383d177..b114559d8 100644 --- a/hugegraph-python-client/README.md +++ b/hugegraph-python-client/README.md @@ -170,12 +170,6 @@ Other info are under 🚧 (Welcome to add more docs for it, users could refer [j ## Contributing -* Welcome to contribute to `hugegraph-python-client`. Please see the [Guidelines](https://hugegraph.apache.org/docs/contribution-guidelines/) for more information. * Code format: Please run `./style/code_format_and_analysis.sh` to format your code before submitting a PR. Thank you to all the people who already contributed to `hugegraph-python-client`! - -## Contact Us - -* [GitHub Issues](https://github.com/apache/incubator-hugegraph-ai/issues): Feedback on usage issues and functional requirements (quick response) -* Feedback Email: [dev@hugegraph.apache.org]() (subscriber only) From c5ec3ea5ad31ebc02829e6f62099c7ff63d2451d Mon Sep 17 00:00:00 2001 From: Haojin <1454yhj@gmail.com> Date: Thu, 16 Jan 2025 19:54:11 +0800 Subject: [PATCH 02/49] Merge branch 'main' into master-icode --- .github/workflows/check-dependencies.yml | 1 - .licenserc.yaml | 1 + NOTICE | 2 +- hugegraph-llm/README.md | 40 +- hugegraph-llm/poetry.lock | 3272 +++++++++++++++++ hugegraph-llm/pyproject.toml | 87 + .../src/hugegraph_llm/config/prompt_config.py | 55 +- .../hugegraph_llm/demo/rag_demo/rag_block.py | 25 +- .../index_op/build_semantic_index.py | 30 +- .../index_op/gremlin_example_index_query.py | 7 +- .../src/hugegraph_llm/resources/demo/css.py | 20 + 11 files changed, 3493 insertions(+), 47 deletions(-) create mode 100644 hugegraph-llm/poetry.lock create mode 100644 hugegraph-llm/pyproject.toml diff --git a/.github/workflows/check-dependencies.yml b/.github/workflows/check-dependencies.yml index e15aababe..83cd71eb8 100644 --- a/.github/workflows/check-dependencies.yml +++ b/.github/workflows/check-dependencies.yml @@ -2,7 +2,6 @@ name: "License header & 3rd-party check" on: pull_request: - permissions: contents: read pull-requests: write diff --git a/.licenserc.yaml b/.licenserc.yaml index 91d42c22e..e6a8330b2 100644 --- a/.licenserc.yaml +++ b/.licenserc.yaml @@ -80,6 +80,7 @@ header: # `header` section is configurations for source codes license header. - '**/META-INF/MANIFEST.MF' - '.repository/**' - '**/resources/**' + - '**/poetry.lock' comment: on-failure # on what condition license-eye will comment on the pull request, `on-failure`, `always`, `never`. diff --git a/NOTICE b/NOTICE index 6ab15754c..944fe3fde 100644 --- a/NOTICE +++ b/NOTICE @@ -1,5 +1,5 @@ Apache HugeGraph(incubating) -Copyright 2022-2024 The Apache Software Foundation +Copyright 2022-2025 The Apache Software Foundation This product includes software developed at The Apache Software Foundation (http://www.apache.org/). diff --git a/hugegraph-llm/README.md b/hugegraph-llm/README.md index 5f6197528..d435a1ab6 100644 --- a/hugegraph-llm/README.md +++ b/hugegraph-llm/README.md @@ -17,39 +17,55 @@ graph systems and large language models. ## 2. Environment Requirements -- python 3.9+ (better to use `3.10`) -- hugegraph-server 1.3+ +- python 3.10+ (not tested in 3.12) +- hugegraph-server 1.3+ (better to use 1.5+) +- poetry 2.0+ ## 3. Preparation -1. Start the HugeGraph database, you can contact HugeGraph Team for the environment. +1. Start the HugeGraph database, you can run it via [Docker](https://hub.docker.com/r/hugegraph/hugegraph)/[Binary Package](https://hugegraph.apache.org/docs/download/download/). + Refer to detailed [doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#31-use-docker-container-convenient-for-testdev) for more guidance + +2. Configuring the poetry environment, Use the official installer to install Poetry, See the [poetry documentation](https://poetry.pythonlang.cn/docs/#installing-with-pipx) for other installation methods + ```bash + # You could try pipx or pip to install poetry when meet network issues, refer the poetry doc for more details + curl -sSL https://install.python-poetry.org | python3 - # install the latest version like 2.0+ + ``` + 2. Clone this project ```bash git clone https://{username}@icode.baidu.com/baidu/starhugegraph/hugegraph-ai ``` -3. Install [hugegraph-python-client](../hugegraph-python-client) and [hugegraph_llm](src/hugegraph_llm) +3. Install [hugegraph-python-client](../hugegraph-python-client) and [hugegraph_llm](src/hugegraph_llm), poetry officially recommends using virtual environments ```bash - cd ./incubator-hugegraph-ai # better to use virtualenv (source venv/bin/activate) - pip install ./hugegraph-python-client && pip install -r ./hugegraph-llm/requirements.txt - ``` -4. Enter the project directory + cd ./incubator-hugegraph-ai/hugegraph-llm + poetry config --list # List/check the current configuration (Optional) + # e.g: poetry config virtualenvs.in-project true + # You could update the poetry configs if need + poetry install + # (Recommended) If you want to use the shell of the venv, you can run the following command + poetry self add poetry-plugin-shell # from poetry 2.0+ + poetry shell # use 'exit' to leave the shell + ``` + If `poetry install` fails or too slow due to network issues, it is recommended to modify `tool.poetry.source` of `hugegraph-llm/pyproject.toml` +4. Enter the project directory(`./incubator-hugegraph-ai/hugegraph-llm/src`) ```bash - cd ./hugegraph-llm/src + cd ./src ``` 5. Start the gradio interactive demo of **Graph RAG**, you can run with the following command, and open http://127.0.0.1:8001 after starting ```bash - python3 -m hugegraph_llm.demo.rag_demo.app + python -m hugegraph_llm.demo.rag_demo.app # same as "poetry run xxx" ``` The default host is `0.0.0.0` and the port is `8001`. You can change them by passing command line arguments`--host` and `--port`. ```bash - python3 -m hugegraph_llm.demo.rag_demo.app --host 127.0.0.1 --port 18001 + python -m hugegraph_llm.demo.rag_demo.app --host 127.0.0.1 --port 18001 ``` 6. After running the web demo, the config file `.env` will be automatically generated at the path `hugegraph-llm/.env`. Additionally, a prompt-related configuration file `config_prompt.yaml` will also be generated at the path `hugegraph-llm/src/hugegraph_llm/resources/demo/config_prompt.yaml`. You can modify the content on the web page, and it will be automatically saved to the configuration file after the corresponding feature is triggered. You can also modify the file directly without restarting the web application; refresh the page to load your latest changes. (Optional)To regenerate the config file, you can use `config.generate` with `-u` or `--update`. ```bash - python3 -m hugegraph_llm.config.generate --update + python -m hugegraph_llm.config.generate --update ``` 8. (__Optional__) offline download NLTK stopwords ```bash diff --git a/hugegraph-llm/poetry.lock b/hugegraph-llm/poetry.lock new file mode 100644 index 000000000..29825aa3c --- /dev/null +++ b/hugegraph-llm/poetry.lock @@ -0,0 +1,3272 @@ +# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand. + +[[package]] +name = "aiofiles" +version = "23.2.1" +description = "File support for asyncio." +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"}, + {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"}, +] + +[[package]] +name = "aiohappyeyeballs" +version = "2.4.4" +description = "Happy Eyeballs for asyncio" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"}, + {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"}, +] + +[[package]] +name = "aiohttp" +version = "3.11.11" +description = "Async http client/server framework (asyncio)" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a60804bff28662cbcf340a4d61598891f12eea3a66af48ecfdc975ceec21e3c8"}, + {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b4fa1cb5f270fb3eab079536b764ad740bb749ce69a94d4ec30ceee1b5940d5"}, + {file = "aiohttp-3.11.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:731468f555656767cda219ab42e033355fe48c85fbe3ba83a349631541715ba2"}, + {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb23d8bb86282b342481cad4370ea0853a39e4a32a0042bb52ca6bdde132df43"}, + {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f047569d655f81cb70ea5be942ee5d4421b6219c3f05d131f64088c73bb0917f"}, + {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dd7659baae9ccf94ae5fe8bfaa2c7bc2e94d24611528395ce88d009107e00c6d"}, + {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af01e42ad87ae24932138f154105e88da13ce7d202a6de93fafdafb2883a00ef"}, + {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5854be2f3e5a729800bac57a8d76af464e160f19676ab6aea74bde18ad19d438"}, + {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:6526e5fb4e14f4bbf30411216780c9967c20c5a55f2f51d3abd6de68320cc2f3"}, + {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:85992ee30a31835fc482468637b3e5bd085fa8fe9392ba0bdcbdc1ef5e9e3c55"}, + {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:88a12ad8ccf325a8a5ed80e6d7c3bdc247d66175afedbe104ee2aaca72960d8e"}, + {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:0a6d3fbf2232e3a08c41eca81ae4f1dff3d8f1a30bae415ebe0af2d2458b8a33"}, + {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:84a585799c58b795573c7fa9b84c455adf3e1d72f19a2bf498b54a95ae0d194c"}, + {file = "aiohttp-3.11.11-cp310-cp310-win32.whl", hash = "sha256:bfde76a8f430cf5c5584553adf9926534352251d379dcb266ad2b93c54a29745"}, + {file = "aiohttp-3.11.11-cp310-cp310-win_amd64.whl", hash = "sha256:0fd82b8e9c383af11d2b26f27a478640b6b83d669440c0a71481f7c865a51da9"}, + {file = "aiohttp-3.11.11-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ba74ec819177af1ef7f59063c6d35a214a8fde6f987f7661f4f0eecc468a8f76"}, + {file = "aiohttp-3.11.11-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4af57160800b7a815f3fe0eba9b46bf28aafc195555f1824555fa2cfab6c1538"}, + {file = "aiohttp-3.11.11-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ffa336210cf9cd8ed117011085817d00abe4c08f99968deef0013ea283547204"}, + {file = "aiohttp-3.11.11-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81b8fe282183e4a3c7a1b72f5ade1094ed1c6345a8f153506d114af5bf8accd9"}, + {file = "aiohttp-3.11.11-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3af41686ccec6a0f2bdc66686dc0f403c41ac2089f80e2214a0f82d001052c03"}, + {file = "aiohttp-3.11.11-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:70d1f9dde0e5dd9e292a6d4d00058737052b01f3532f69c0c65818dac26dc287"}, + {file = "aiohttp-3.11.11-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:249cc6912405917344192b9f9ea5cd5b139d49e0d2f5c7f70bdfaf6b4dbf3a2e"}, + {file = "aiohttp-3.11.11-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0eb98d90b6690827dcc84c246811feeb4e1eea683c0eac6caed7549be9c84665"}, + {file = "aiohttp-3.11.11-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ec82bf1fda6cecce7f7b915f9196601a1bd1a3079796b76d16ae4cce6d0ef89b"}, + {file = "aiohttp-3.11.11-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:9fd46ce0845cfe28f108888b3ab17abff84ff695e01e73657eec3f96d72eef34"}, + {file = "aiohttp-3.11.11-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:bd176afcf8f5d2aed50c3647d4925d0db0579d96f75a31e77cbaf67d8a87742d"}, + {file = "aiohttp-3.11.11-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:ec2aa89305006fba9ffb98970db6c8221541be7bee4c1d027421d6f6df7d1ce2"}, + {file = "aiohttp-3.11.11-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:92cde43018a2e17d48bb09c79e4d4cb0e236de5063ce897a5e40ac7cb4878773"}, + {file = "aiohttp-3.11.11-cp311-cp311-win32.whl", hash = "sha256:aba807f9569455cba566882c8938f1a549f205ee43c27b126e5450dc9f83cc62"}, + {file = "aiohttp-3.11.11-cp311-cp311-win_amd64.whl", hash = "sha256:ae545f31489548c87b0cced5755cfe5a5308d00407000e72c4fa30b19c3220ac"}, + {file = "aiohttp-3.11.11-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:e595c591a48bbc295ebf47cb91aebf9bd32f3ff76749ecf282ea7f9f6bb73886"}, + {file = "aiohttp-3.11.11-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3ea1b59dc06396b0b424740a10a0a63974c725b1c64736ff788a3689d36c02d2"}, + {file = "aiohttp-3.11.11-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8811f3f098a78ffa16e0ea36dffd577eb031aea797cbdba81be039a4169e242c"}, + {file = "aiohttp-3.11.11-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd7227b87a355ce1f4bf83bfae4399b1f5bb42e0259cb9405824bd03d2f4336a"}, + {file = "aiohttp-3.11.11-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d40f9da8cabbf295d3a9dae1295c69975b86d941bc20f0a087f0477fa0a66231"}, + {file = "aiohttp-3.11.11-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ffb3dc385f6bb1568aa974fe65da84723210e5d9707e360e9ecb51f59406cd2e"}, + {file = "aiohttp-3.11.11-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8f5f7515f3552d899c61202d99dcb17d6e3b0de777900405611cd747cecd1b8"}, + {file = "aiohttp-3.11.11-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3499c7ffbfd9c6a3d8d6a2b01c26639da7e43d47c7b4f788016226b1e711caa8"}, + {file = "aiohttp-3.11.11-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8e2bf8029dbf0810c7bfbc3e594b51c4cc9101fbffb583a3923aea184724203c"}, + {file = "aiohttp-3.11.11-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b6212a60e5c482ef90f2d788835387070a88d52cf6241d3916733c9176d39eab"}, + {file = "aiohttp-3.11.11-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:d119fafe7b634dbfa25a8c597718e69a930e4847f0b88e172744be24515140da"}, + {file = "aiohttp-3.11.11-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:6fba278063559acc730abf49845d0e9a9e1ba74f85f0ee6efd5803f08b285853"}, + {file = "aiohttp-3.11.11-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:92fc484e34b733704ad77210c7957679c5c3877bd1e6b6d74b185e9320cc716e"}, + {file = "aiohttp-3.11.11-cp312-cp312-win32.whl", hash = "sha256:9f5b3c1ed63c8fa937a920b6c1bec78b74ee09593b3f5b979ab2ae5ef60d7600"}, + {file = "aiohttp-3.11.11-cp312-cp312-win_amd64.whl", hash = "sha256:1e69966ea6ef0c14ee53ef7a3d68b564cc408121ea56c0caa2dc918c1b2f553d"}, + {file = "aiohttp-3.11.11-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:541d823548ab69d13d23730a06f97460f4238ad2e5ed966aaf850d7c369782d9"}, + {file = "aiohttp-3.11.11-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:929f3ed33743a49ab127c58c3e0a827de0664bfcda566108989a14068f820194"}, + {file = "aiohttp-3.11.11-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0882c2820fd0132240edbb4a51eb8ceb6eef8181db9ad5291ab3332e0d71df5f"}, + {file = "aiohttp-3.11.11-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b63de12e44935d5aca7ed7ed98a255a11e5cb47f83a9fded7a5e41c40277d104"}, + {file = "aiohttp-3.11.11-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aa54f8ef31d23c506910c21163f22b124facb573bff73930735cf9fe38bf7dff"}, + {file = "aiohttp-3.11.11-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a344d5dc18074e3872777b62f5f7d584ae4344cd6006c17ba12103759d407af3"}, + {file = "aiohttp-3.11.11-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b7fb429ab1aafa1f48578eb315ca45bd46e9c37de11fe45c7f5f4138091e2f1"}, + {file = "aiohttp-3.11.11-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c341c7d868750e31961d6d8e60ff040fb9d3d3a46d77fd85e1ab8e76c3e9a5c4"}, + {file = "aiohttp-3.11.11-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ed9ee95614a71e87f1a70bc81603f6c6760128b140bc4030abe6abaa988f1c3d"}, + {file = "aiohttp-3.11.11-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:de8d38f1c2810fa2a4f1d995a2e9c70bb8737b18da04ac2afbf3971f65781d87"}, + {file = "aiohttp-3.11.11-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:a9b7371665d4f00deb8f32208c7c5e652059b0fda41cf6dbcac6114a041f1cc2"}, + {file = "aiohttp-3.11.11-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:620598717fce1b3bd14dd09947ea53e1ad510317c85dda2c9c65b622edc96b12"}, + {file = "aiohttp-3.11.11-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:bf8d9bfee991d8acc72d060d53860f356e07a50f0e0d09a8dfedea1c554dd0d5"}, + {file = "aiohttp-3.11.11-cp313-cp313-win32.whl", hash = "sha256:9d73ee3725b7a737ad86c2eac5c57a4a97793d9f442599bea5ec67ac9f4bdc3d"}, + {file = "aiohttp-3.11.11-cp313-cp313-win_amd64.whl", hash = "sha256:c7a06301c2fb096bdb0bd25fe2011531c1453b9f2c163c8031600ec73af1cc99"}, + {file = "aiohttp-3.11.11-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3e23419d832d969f659c208557de4a123e30a10d26e1e14b73431d3c13444c2e"}, + {file = "aiohttp-3.11.11-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:21fef42317cf02e05d3b09c028712e1d73a9606f02467fd803f7c1f39cc59add"}, + {file = "aiohttp-3.11.11-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1f21bb8d0235fc10c09ce1d11ffbd40fc50d3f08a89e4cf3a0c503dc2562247a"}, + {file = "aiohttp-3.11.11-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1642eceeaa5ab6c9b6dfeaaa626ae314d808188ab23ae196a34c9d97efb68350"}, + {file = "aiohttp-3.11.11-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2170816e34e10f2fd120f603e951630f8a112e1be3b60963a1f159f5699059a6"}, + {file = "aiohttp-3.11.11-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8be8508d110d93061197fd2d6a74f7401f73b6d12f8822bbcd6d74f2b55d71b1"}, + {file = "aiohttp-3.11.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4eed954b161e6b9b65f6be446ed448ed3921763cc432053ceb606f89d793927e"}, + {file = "aiohttp-3.11.11-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6c9af134da4bc9b3bd3e6a70072509f295d10ee60c697826225b60b9959acdd"}, + {file = "aiohttp-3.11.11-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:44167fc6a763d534a6908bdb2592269b4bf30a03239bcb1654781adf5e49caf1"}, + {file = "aiohttp-3.11.11-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:479b8c6ebd12aedfe64563b85920525d05d394b85f166b7873c8bde6da612f9c"}, + {file = "aiohttp-3.11.11-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:10b4ff0ad793d98605958089fabfa350e8e62bd5d40aa65cdc69d6785859f94e"}, + {file = "aiohttp-3.11.11-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:b540bd67cfb54e6f0865ceccd9979687210d7ed1a1cc8c01f8e67e2f1e883d28"}, + {file = "aiohttp-3.11.11-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1dac54e8ce2ed83b1f6b1a54005c87dfed139cf3f777fdc8afc76e7841101226"}, + {file = "aiohttp-3.11.11-cp39-cp39-win32.whl", hash = "sha256:568c1236b2fde93b7720f95a890741854c1200fba4a3471ff48b2934d2d93fd3"}, + {file = "aiohttp-3.11.11-cp39-cp39-win_amd64.whl", hash = "sha256:943a8b052e54dfd6439fd7989f67fc6a7f2138d0a2cf0a7de5f18aa4fe7eb3b1"}, + {file = "aiohttp-3.11.11.tar.gz", hash = "sha256:bb49c7f1e6ebf3821a42d81d494f538107610c3a705987f53068546b0e90303e"}, +] + +[package.dependencies] +aiohappyeyeballs = ">=2.3.0" +aiosignal = ">=1.1.2" +async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""} +attrs = ">=17.3.0" +frozenlist = ">=1.1.1" +multidict = ">=4.5,<7.0" +propcache = ">=0.2.0" +yarl = ">=1.17.0,<2.0" + +[package.extras] +speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"] + +[[package]] +name = "aiolimiter" +version = "1.2.1" +description = "asyncio rate limiter, a leaky bucket implementation" +optional = false +python-versions = "<4.0,>=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "aiolimiter-1.2.1-py3-none-any.whl", hash = "sha256:d3f249e9059a20badcb56b61601a83556133655c11d1eb3dd3e04ff069e5f3c7"}, + {file = "aiolimiter-1.2.1.tar.gz", hash = "sha256:e02a37ea1a855d9e832252a105420ad4d15011505512a1a1d814647451b5cca9"}, +] + +[[package]] +name = "aiosignal" +version = "1.3.2" +description = "aiosignal: a list of registered asynchronous callbacks" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"}, + {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"}, +] + +[package.dependencies] +frozenlist = ">=1.1.0" + +[[package]] +name = "annotated-types" +version = "0.7.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, +] + +[[package]] +name = "anyio" +version = "4.8.0" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"}, + {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"}, +] + +[package.dependencies] +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} +idna = ">=2.8" +sniffio = ">=1.1" +typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} + +[package.extras] +doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"] +trio = ["trio (>=0.26.1)"] + +[[package]] +name = "apscheduler" +version = "3.10.4" +description = "In-process task scheduler with Cron-like capabilities" +optional = false +python-versions = ">=3.6" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "APScheduler-3.10.4-py3-none-any.whl", hash = "sha256:fb91e8a768632a4756a585f79ec834e0e27aad5860bac7eaa523d9ccefd87661"}, + {file = "APScheduler-3.10.4.tar.gz", hash = "sha256:e6df071b27d9be898e486bc7940a7be50b4af2e9da7c08f0744a96d4bd4cef4a"}, +] + +[package.dependencies] +pytz = "*" +six = ">=1.4.0" +tzlocal = ">=2.0,<3.dev0 || >=4.dev0" + +[package.extras] +doc = ["sphinx", "sphinx-rtd-theme"] +gevent = ["gevent"] +mongodb = ["pymongo (>=3.0)"] +redis = ["redis (>=3.0)"] +rethinkdb = ["rethinkdb (>=2.4.0)"] +sqlalchemy = ["sqlalchemy (>=1.4)"] +testing = ["pytest", "pytest-asyncio", "pytest-cov", "pytest-tornado5"] +tornado = ["tornado (>=4.3)"] +twisted = ["twisted"] +zookeeper = ["kazoo"] + +[[package]] +name = "async-timeout" +version = "5.0.1" +description = "Timeout context manager for asyncio programs" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version < \"3.11\"" +files = [ + {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, + {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, +] + +[[package]] +name = "attrs" +version = "24.3.0" +description = "Classes Without Boilerplate" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"}, + {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"}, +] + +[package.extras] +benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] + +[[package]] +name = "bce-python-sdk" +version = "0.9.25" +description = "BCE SDK for python" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "bce_python_sdk-0.9.25-py3-none-any.whl", hash = "sha256:cd1ab4c887e163adba6bfb3cd40465a365e5f4255705a015b0cdbe768e649877"}, + {file = "bce_python_sdk-0.9.25.tar.gz", hash = "sha256:93a0623fbb1bf3a58b4f2d7bdbd799a3b342a538f0c72950c77168e431470e86"}, +] + +[package.dependencies] +future = ">=0.6.0" +pycryptodome = ">=3.8.0" +six = ">=1.4.0" + +[[package]] +name = "certifi" +version = "2024.12.14" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.6" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"}, + {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"}, +] + +[[package]] +name = "charset-normalizer" +version = "3.4.1" +description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e218488cd232553829be0664c2292d3af2eeeb94b32bea483cf79ac6a694e037"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:80ed5e856eb7f30115aaf94e4a08114ccc8813e6ed1b5efa74f9f82e8509858f"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b010a7a4fd316c3c484d482922d13044979e78d1861f0e0650423144c616a46a"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4532bff1b8421fd0a320463030c7520f56a79c9024a4e88f01c537316019005a"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d973f03c0cb71c5ed99037b870f2be986c3c05e63622c017ea9816881d2dd247"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3a3bd0dcd373514dcec91c411ddb9632c0d7d92aed7093b8c3bbb6d69ca74408"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:d9c3cdf5390dcd29aa8056d13e8e99526cda0305acc038b96b30352aff5ff2bb"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:2bdfe3ac2e1bbe5b59a1a63721eb3b95fc9b6817ae4a46debbb4e11f6232428d"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:eab677309cdb30d047996b36d34caeda1dc91149e4fdca0b1a039b3f79d9a807"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-win32.whl", hash = "sha256:c0429126cf75e16c4f0ad00ee0eae4242dc652290f940152ca8c75c3a4b6ee8f"}, + {file = "charset_normalizer-3.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:9f0b8b1c6d84c8034a44893aba5e767bf9c7a211e313a9605d9c617d7083829f"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:8bfa33f4f2672964266e940dd22a195989ba31669bd84629f05fab3ef4e2d125"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28bf57629c75e810b6ae989f03c0828d64d6b26a5e205535585f96093e405ed1"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f08ff5e948271dc7e18a35641d2f11a4cd8dfd5634f55228b691e62b37125eb3"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:234ac59ea147c59ee4da87a0c0f098e9c8d169f4dc2a159ef720f1a61bbe27cd"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd4ec41f914fa74ad1b8304bbc634b3de73d2a0889bd32076342a573e0779e00"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eea6ee1db730b3483adf394ea72f808b6e18cf3cb6454b4d86e04fa8c4327a12"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c96836c97b1238e9c9e3fe90844c947d5afbf4f4c92762679acfe19927d81d77"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:4d86f7aff21ee58f26dcf5ae81a9addbd914115cdebcbb2217e4f0ed8982e146"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:09b5e6733cbd160dcc09589227187e242a30a49ca5cefa5a7edd3f9d19ed53fd"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:5777ee0881f9499ed0f71cc82cf873d9a0ca8af166dfa0af8ec4e675b7df48e6"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:237bdbe6159cff53b4f24f397d43c6336c6b0b42affbe857970cefbb620911c8"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-win32.whl", hash = "sha256:8417cb1f36cc0bc7eaba8ccb0e04d55f0ee52df06df3ad55259b9a323555fc8b"}, + {file = "charset_normalizer-3.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:d7f50a1f8c450f3925cb367d011448c39239bb3eb4117c36a6d354794de4ce76"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:73d94b58ec7fecbc7366247d3b0b10a21681004153238750bb67bd9012414545"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dad3e487649f498dd991eeb901125411559b22e8d7ab25d3aeb1af367df5efd7"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c30197aa96e8eed02200a83fba2657b4c3acd0f0aa4bdc9f6c1af8e8962e0757"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2369eea1ee4a7610a860d88f268eb39b95cb588acd7235e02fd5a5601773d4fa"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc2722592d8998c870fa4e290c2eec2c1569b87fe58618e67d38b4665dfa680d"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffc9202a29ab3920fa812879e95a9e78b2465fd10be7fcbd042899695d75e616"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:804a4d582ba6e5b747c625bf1255e6b1507465494a40a2130978bda7b932c90b"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:0f55e69f030f7163dffe9fd0752b32f070566451afe180f99dbeeb81f511ad8d"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:c4c3e6da02df6fa1410a7680bd3f63d4f710232d3139089536310d027950696a"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:5df196eb874dae23dcfb968c83d4f8fdccb333330fe1fc278ac5ceeb101003a9"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e358e64305fe12299a08e08978f51fc21fac060dcfcddd95453eabe5b93ed0e1"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-win32.whl", hash = "sha256:9b23ca7ef998bc739bf6ffc077c2116917eabcc901f88da1b9856b210ef63f35"}, + {file = "charset_normalizer-3.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:6ff8a4a60c227ad87030d76e99cd1698345d4491638dfa6673027c48b3cd395f"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:aabfa34badd18f1da5ec1bc2715cadc8dca465868a4e73a0173466b688f29dda"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22e14b5d70560b8dd51ec22863f370d1e595ac3d024cb8ad7d308b4cd95f8313"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8436c508b408b82d87dc5f62496973a1805cd46727c34440b0d29d8a2f50a6c9"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2d074908e1aecee37a7635990b2c6d504cd4766c7bc9fc86d63f9c09af3fa11b"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:955f8851919303c92343d2f66165294848d57e9bba6cf6e3625485a70a038d11"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:44ecbf16649486d4aebafeaa7ec4c9fed8b88101f4dd612dcaf65d5e815f837f"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0924e81d3d5e70f8126529951dac65c1010cdf117bb75eb02dd12339b57749dd"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:2967f74ad52c3b98de4c3b32e1a44e32975e008a9cd2a8cc8966d6a5218c5cb2"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c75cb2a3e389853835e84a2d8fb2b81a10645b503eca9bcb98df6b5a43eb8886"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:09b26ae6b1abf0d27570633b2b078a2a20419c99d66fb2823173d73f188ce601"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fa88b843d6e211393a37219e6a1c1df99d35e8fd90446f1118f4216e307e48cd"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-win32.whl", hash = "sha256:eb8178fe3dba6450a3e024e95ac49ed3400e506fd4e9e5c32d30adda88cbd407"}, + {file = "charset_normalizer-3.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:b1ac5992a838106edb89654e0aebfc24f5848ae2547d22c2c3f66454daa11971"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f30bf9fd9be89ecb2360c7d94a711f00c09b976258846efe40db3d05828e8089"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:97f68b8d6831127e4787ad15e6757232e14e12060bec17091b85eb1486b91d8d"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7974a0b5ecd505609e3b19742b60cee7aa2aa2fb3151bc917e6e2646d7667dcf"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc54db6c8593ef7d4b2a331b58653356cf04f67c960f584edb7c3d8c97e8f39e"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:311f30128d7d333eebd7896965bfcfbd0065f1716ec92bd5638d7748eb6f936a"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:7d053096f67cd1241601111b698f5cad775f97ab25d81567d3f59219b5f1adbd"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:807f52c1f798eef6cf26beb819eeb8819b1622ddfeef9d0977a8502d4db6d534"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:dccbe65bd2f7f7ec22c4ff99ed56faa1e9f785482b9bbd7c717e26fd723a1d1e"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-musllinux_1_2_s390x.whl", hash = "sha256:2fb9bd477fdea8684f78791a6de97a953c51831ee2981f8e4f583ff3b9d9687e"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:01732659ba9b5b873fc117534143e4feefecf3b2078b0a6a2e925271bb6f4cfa"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-win32.whl", hash = "sha256:7a4f97a081603d2050bfaffdefa5b02a9ec823f8348a572e39032caa8404a487"}, + {file = "charset_normalizer-3.4.1-cp37-cp37m-win_amd64.whl", hash = "sha256:7b1bef6280950ee6c177b326508f86cad7ad4dff12454483b51d8b7d673a2c5d"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ecddf25bee22fe4fe3737a399d0d177d72bc22be6913acfab364b40bce1ba83c"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c60ca7339acd497a55b0ea5d506b2a2612afb2826560416f6894e8b5770d4a9"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b7b2d86dd06bfc2ade3312a83a5c364c7ec2e3498f8734282c6c3d4b07b346b8"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dd78cfcda14a1ef52584dbb008f7ac81c1328c0f58184bf9a84c49c605002da6"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e27f48bcd0957c6d4cb9d6fa6b61d192d0b13d5ef563e5f2ae35feafc0d179c"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:01ad647cdd609225c5350561d084b42ddf732f4eeefe6e678765636791e78b9a"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:619a609aa74ae43d90ed2e89bdd784765de0a25ca761b93e196d938b8fd1dbbd"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:89149166622f4db9b4b6a449256291dc87a99ee53151c74cbd82a53c8c2f6ccd"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:7709f51f5f7c853f0fb938bcd3bc59cdfdc5203635ffd18bf354f6967ea0f824"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:345b0426edd4e18138d6528aed636de7a9ed169b4aaf9d61a8c19e39d26838ca"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:0907f11d019260cdc3f94fbdb23ff9125f6b5d1039b76003b5b0ac9d6a6c9d5b"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-win32.whl", hash = "sha256:ea0d8d539afa5eb2728aa1932a988a9a7af94f18582ffae4bc10b3fbdad0626e"}, + {file = "charset_normalizer-3.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:329ce159e82018d646c7ac45b01a430369d526569ec08516081727a20e9e4af4"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:b97e690a2118911e39b4042088092771b4ae3fc3aa86518f84b8cf6888dbdb41"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78baa6d91634dfb69ec52a463534bc0df05dbd546209b79a3880a34487f4b84f"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1a2bc9f351a75ef49d664206d51f8e5ede9da246602dc2d2726837620ea034b2"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:75832c08354f595c760a804588b9357d34ec00ba1c940c15e31e96d902093770"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af291f4fe114be0280cdd29d533696a77b5b49cfde5467176ecab32353395c4"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0167ddc8ab6508fe81860a57dd472b2ef4060e8d378f0cc555707126830f2537"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:2a75d49014d118e4198bcee5ee0a6f25856b29b12dbf7cd012791f8a6cc5c496"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:363e2f92b0f0174b2f8238240a1a30142e3db7b957a5dd5689b0e75fb717cc78"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ab36c8eb7e454e34e60eb55ca5d241a5d18b2c6244f6827a30e451c42410b5f7"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:4c0907b1928a36d5a998d72d64d8eaa7244989f7aaaf947500d3a800c83a3fd6"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:04432ad9479fa40ec0f387795ddad4437a2b50417c69fa275e212933519ff294"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-win32.whl", hash = "sha256:3bed14e9c89dcb10e8f3a29f9ccac4955aebe93c71ae803af79265c9ca5644c5"}, + {file = "charset_normalizer-3.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:49402233c892a461407c512a19435d1ce275543138294f7ef013f0b63d5d3765"}, + {file = "charset_normalizer-3.4.1-py3-none-any.whl", hash = "sha256:d98b1668f06378c6dbefec3b92299716b931cd4e6061f3c875a71ced1780ab85"}, + {file = "charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3"}, +] + +[[package]] +name = "click" +version = "8.1.8" +description = "Composable command line interface toolkit" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"}, + {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[[package]] +name = "colorama" +version = "0.4.6" +description = "Cross-platform colored terminal text." +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "python_version <= \"3.11\" and platform_system == \"Windows\"" +files = [ + {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, + {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, +] + +[[package]] +name = "decorator" +version = "5.1.1" +description = "Decorators for Humans" +optional = false +python-versions = ">=3.5" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, + {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, +] + +[[package]] +name = "dill" +version = "0.3.9" +description = "serialize all of Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "dill-0.3.9-py3-none-any.whl", hash = "sha256:468dff3b89520b474c0397703366b7b95eebe6303f108adf9b19da1f702be87a"}, + {file = "dill-0.3.9.tar.gz", hash = "sha256:81aa267dddf68cbfe8029c42ca9ec6a4ab3b22371d1c450abc54422577b4512c"}, +] + +[package.extras] +graph = ["objgraph (>=1.7.2)"] +profile = ["gprof2dot (>=2022.7.29)"] + +[[package]] +name = "diskcache" +version = "5.6.3" +description = "Disk Cache -- Disk and file backed persistent cache." +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"}, + {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"}, +] + +[[package]] +name = "distro" +version = "1.9.0" +description = "Distro - an OS platform information API" +optional = false +python-versions = ">=3.6" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, + {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"}, +] + +[[package]] +name = "et-xmlfile" +version = "2.0.0" +description = "An implementation of lxml.xmlfile for the standard library" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"}, + {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"}, +] + +[[package]] +name = "exceptiongroup" +version = "1.2.2" +description = "Backport of PEP 654 (exception groups)" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version < \"3.11\"" +files = [ + {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"}, + {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"}, +] + +[package.extras] +test = ["pytest (>=6)"] + +[[package]] +name = "faiss-cpu" +version = "1.8.0.post1" +description = "A library for efficient similarity search and clustering of dense vectors." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "faiss_cpu-1.8.0.post1-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:fd84721eb599aa1da19b1b36345bb8705a60bb1d2887bbbc395a29e3d36a1a62"}, + {file = "faiss_cpu-1.8.0.post1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b78ff9079d15fd0f156bf5dd8a2975a8abffac1854a86ece263eec1500a2e836"}, + {file = "faiss_cpu-1.8.0.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9de25c943d1789e35fe06a20884c88cd32aedbb1a33bb8da2238cdea7bd9633f"}, + {file = "faiss_cpu-1.8.0.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:adae0f1b144e7216da696f14bc4991ca4300c94baaa59247c3d322588e661c95"}, + {file = "faiss_cpu-1.8.0.post1-cp310-cp310-win_amd64.whl", hash = "sha256:00345290680a444a4b4cb2d98a3844bb5c401a2160fee547c7631d759fd2ec3e"}, + {file = "faiss_cpu-1.8.0.post1-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:8d4bade10cb63e9f9ff261751edd7eb097b1f4bf30be4d0d25d6f688559d795e"}, + {file = "faiss_cpu-1.8.0.post1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:20bd43eca3b7d77e71ea56b7a558cc28e900d8abff417eb285e2d92e95d934d4"}, + {file = "faiss_cpu-1.8.0.post1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8542a87743a7f94ac656fd3e9592ad57e58b04d961ad2fe654a22a8ca59defdb"}, + {file = "faiss_cpu-1.8.0.post1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed46928de3dc20170b10fec89c54075a11383c2aaf4f119c63e0f6ae5a507d74"}, + {file = "faiss_cpu-1.8.0.post1-cp311-cp311-win_amd64.whl", hash = "sha256:4fa5fc8ea210b919aa469e27d6687e50052db906e7fec3f2257178b1384fa18b"}, + {file = "faiss_cpu-1.8.0.post1-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:96aec0d08a3099883af3a9b6356cfe736e8bd879318a940a27e9d1ae6f33d788"}, + {file = "faiss_cpu-1.8.0.post1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:92b06147fa84732ecdc965922e8ef50dc7011ef8be65821ff4abb2118cb5dce0"}, + {file = "faiss_cpu-1.8.0.post1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:709ef9394d1148aef70dbe890edbde8c282a4a2e06a8b69ab64f65e90f5ba572"}, + {file = "faiss_cpu-1.8.0.post1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:327a9c30971bf72cd8392b15eb4aff5d898c453212eae656dfaa3ba555b9ca0c"}, + {file = "faiss_cpu-1.8.0.post1-cp312-cp312-win_amd64.whl", hash = "sha256:8756f1d93faba56349883fa2f5d47fe36bb2f11f789200c6b1c691ef805485f2"}, + {file = "faiss_cpu-1.8.0.post1-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:f4a3045909c447bf1955b70083891e80f2c87c5427f20cae25245e08ec5c9e52"}, + {file = "faiss_cpu-1.8.0.post1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8842b7fc921ca1fafdb0845f2ba029e79df04eebae72ab135239f93478a9b7a2"}, + {file = "faiss_cpu-1.8.0.post1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d5a9799634e32c3862d5436d1e78112ed9a38f319e4523f5916e55d86adda8f"}, + {file = "faiss_cpu-1.8.0.post1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2a70923b0fbbb40f647e20bcbcbfd472277e6d84bb23ff12d2a94b6841806b55"}, + {file = "faiss_cpu-1.8.0.post1-cp38-cp38-win_amd64.whl", hash = "sha256:ce652df3c4dd50c88ac9235d072f30ce60694dc422c5f523bbbcab320e8f3097"}, + {file = "faiss_cpu-1.8.0.post1-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:83ef04b17b19189dd6601a941bdf4bfa9de0740dbcd80305aeba51a1b1955f80"}, + {file = "faiss_cpu-1.8.0.post1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c50c8697077470ede7f1939ef8dc8a846ec19cf1893b543f6b67f9af03b0a122"}, + {file = "faiss_cpu-1.8.0.post1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:98ce428a7a67fe5c64047280e5e12a8dbdecf7002f9d127b26cf1db354e9fe76"}, + {file = "faiss_cpu-1.8.0.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f3b36b80380bae523e3198cfb4a137867055945ce7bf10d18fe9f0284f2fb47"}, + {file = "faiss_cpu-1.8.0.post1-cp39-cp39-win_amd64.whl", hash = "sha256:4fcc67a2353f08a20c1ab955de3cde14ef3b447761b26244a5aa849c15cbc9b3"}, + {file = "faiss_cpu-1.8.0.post1.tar.gz", hash = "sha256:5686af34414678c3d49c4fa8d774df7156e9cb48d7029071e56230e74b01cc13"}, +] + +[package.dependencies] +numpy = ">=1.0,<2.0" +packaging = "*" + +[[package]] +name = "fastapi" +version = "0.115.6" +description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "fastapi-0.115.6-py3-none-any.whl", hash = "sha256:e9240b29e36fa8f4bb7290316988e90c381e5092e0cbe84e7818cc3713bcf305"}, + {file = "fastapi-0.115.6.tar.gz", hash = "sha256:9ec46f7addc14ea472958a96aae5b5de65f39721a46aaf5705c480d9a8b76654"}, +] + +[package.dependencies] +pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" +starlette = ">=0.40.0,<0.42.0" +typing-extensions = ">=4.8.0" + +[package.extras] +all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] +standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"] + +[[package]] +name = "ffmpy" +version = "0.5.0" +description = "A simple Python wrapper for FFmpeg" +optional = false +python-versions = "<4.0,>=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "ffmpy-0.5.0-py3-none-any.whl", hash = "sha256:df3799cf5816daa56d4959a023630ee53c6768b66009dae6d131519ba4b80233"}, + {file = "ffmpy-0.5.0.tar.gz", hash = "sha256:277e131f246d18e9dcfee9bb514c50749031c43582ce5ef82c57b51e3d3955c3"}, +] + +[[package]] +name = "filelock" +version = "3.16.1" +description = "A platform independent file lock." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"}, + {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"}, +] + +[package.extras] +docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"] +typing = ["typing-extensions (>=4.12.2)"] + +[[package]] +name = "frozenlist" +version = "1.5.0" +description = "A list-like structure which implements collections.abc.MutableSequence" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"}, + {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"}, + {file = "frozenlist-1.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:15538c0cbf0e4fa11d1e3a71f823524b0c46299aed6e10ebb4c2089abd8c3bec"}, + {file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e79225373c317ff1e35f210dd5f1344ff31066ba8067c307ab60254cd3a78ad5"}, + {file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9272fa73ca71266702c4c3e2d4a28553ea03418e591e377a03b8e3659d94fa76"}, + {file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:498524025a5b8ba81695761d78c8dd7382ac0b052f34e66939c42df860b8ff17"}, + {file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:92b5278ed9d50fe610185ecd23c55d8b307d75ca18e94c0e7de328089ac5dcba"}, + {file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f3c8c1dacd037df16e85227bac13cca58c30da836c6f936ba1df0c05d046d8d"}, + {file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f2ac49a9bedb996086057b75bf93538240538c6d9b38e57c82d51f75a73409d2"}, + {file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e66cc454f97053b79c2ab09c17fbe3c825ea6b4de20baf1be28919460dd7877f"}, + {file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:5a3ba5f9a0dfed20337d3e966dc359784c9f96503674c2faf015f7fe8e96798c"}, + {file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:6321899477db90bdeb9299ac3627a6a53c7399c8cd58d25da094007402b039ab"}, + {file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:76e4753701248476e6286f2ef492af900ea67d9706a0155335a40ea21bf3b2f5"}, + {file = "frozenlist-1.5.0-cp310-cp310-win32.whl", hash = "sha256:977701c081c0241d0955c9586ffdd9ce44f7a7795df39b9151cd9a6fd0ce4cfb"}, + {file = "frozenlist-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:189f03b53e64144f90990d29a27ec4f7997d91ed3d01b51fa39d2dbe77540fd4"}, + {file = "frozenlist-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:fd74520371c3c4175142d02a976aee0b4cb4a7cc912a60586ffd8d5929979b30"}, + {file = "frozenlist-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2f3f7a0fbc219fb4455264cae4d9f01ad41ae6ee8524500f381de64ffaa077d5"}, + {file = "frozenlist-1.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f47c9c9028f55a04ac254346e92977bf0f166c483c74b4232bee19a6697e4778"}, + {file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0996c66760924da6e88922756d99b47512a71cfd45215f3570bf1e0b694c206a"}, + {file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a2fe128eb4edeabe11896cb6af88fca5346059f6c8d807e3b910069f39157869"}, + {file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1a8ea951bbb6cacd492e3948b8da8c502a3f814f5d20935aae74b5df2b19cf3d"}, + {file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de537c11e4aa01d37db0d403b57bd6f0546e71a82347a97c6a9f0dcc532b3a45"}, + {file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c2623347b933fcb9095841f1cc5d4ff0b278addd743e0e966cb3d460278840d"}, + {file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:cee6798eaf8b1416ef6909b06f7dc04b60755206bddc599f52232606e18179d3"}, + {file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:f5f9da7f5dbc00a604fe74aa02ae7c98bcede8a3b8b9666f9f86fc13993bc71a"}, + {file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:90646abbc7a5d5c7c19461d2e3eeb76eb0b204919e6ece342feb6032c9325ae9"}, + {file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:bdac3c7d9b705d253b2ce370fde941836a5f8b3c5c2b8fd70940a3ea3af7f4f2"}, + {file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:03d33c2ddbc1816237a67f66336616416e2bbb6beb306e5f890f2eb22b959cdf"}, + {file = "frozenlist-1.5.0-cp311-cp311-win32.whl", hash = "sha256:237f6b23ee0f44066219dae14c70ae38a63f0440ce6750f868ee08775073f942"}, + {file = "frozenlist-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:0cc974cc93d32c42e7b0f6cf242a6bd941c57c61b618e78b6c0a96cb72788c1d"}, + {file = "frozenlist-1.5.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:31115ba75889723431aa9a4e77d5f398f5cf976eea3bdf61749731f62d4a4a21"}, + {file = "frozenlist-1.5.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7437601c4d89d070eac8323f121fcf25f88674627505334654fd027b091db09d"}, + {file = "frozenlist-1.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7948140d9f8ece1745be806f2bfdf390127cf1a763b925c4a805c603df5e697e"}, + {file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:feeb64bc9bcc6b45c6311c9e9b99406660a9c05ca8a5b30d14a78555088b0b3a"}, + {file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:683173d371daad49cffb8309779e886e59c2f369430ad28fe715f66d08d4ab1a"}, + {file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7d57d8f702221405a9d9b40f9da8ac2e4a1a8b5285aac6100f3393675f0a85ee"}, + {file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:30c72000fbcc35b129cb09956836c7d7abf78ab5416595e4857d1cae8d6251a6"}, + {file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:000a77d6034fbad9b6bb880f7ec073027908f1b40254b5d6f26210d2dab1240e"}, + {file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:5d7f5a50342475962eb18b740f3beecc685a15b52c91f7d975257e13e029eca9"}, + {file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:87f724d055eb4785d9be84e9ebf0f24e392ddfad00b3fe036e43f489fafc9039"}, + {file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:6e9080bb2fb195a046e5177f10d9d82b8a204c0736a97a153c2466127de87784"}, + {file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:9b93d7aaa36c966fa42efcaf716e6b3900438632a626fb09c049f6a2f09fc631"}, + {file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:52ef692a4bc60a6dd57f507429636c2af8b6046db8b31b18dac02cbc8f507f7f"}, + {file = "frozenlist-1.5.0-cp312-cp312-win32.whl", hash = "sha256:29d94c256679247b33a3dc96cce0f93cbc69c23bf75ff715919332fdbb6a32b8"}, + {file = "frozenlist-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:8969190d709e7c48ea386db202d708eb94bdb29207a1f269bab1196ce0dcca1f"}, + {file = "frozenlist-1.5.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:7a1a048f9215c90973402e26c01d1cff8a209e1f1b53f72b95c13db61b00f953"}, + {file = "frozenlist-1.5.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:dd47a5181ce5fcb463b5d9e17ecfdb02b678cca31280639255ce9d0e5aa67af0"}, + {file = "frozenlist-1.5.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1431d60b36d15cda188ea222033eec8e0eab488f39a272461f2e6d9e1a8e63c2"}, + {file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6482a5851f5d72767fbd0e507e80737f9c8646ae7fd303def99bfe813f76cf7f"}, + {file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:44c49271a937625619e862baacbd037a7ef86dd1ee215afc298a417ff3270608"}, + {file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:12f78f98c2f1c2429d42e6a485f433722b0061d5c0b0139efa64f396efb5886b"}, + {file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce3aa154c452d2467487765e3adc730a8c153af77ad84096bc19ce19a2400840"}, + {file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9b7dc0c4338e6b8b091e8faf0db3168a37101943e687f373dce00959583f7439"}, + {file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:45e0896250900b5aa25180f9aec243e84e92ac84bd4a74d9ad4138ef3f5c97de"}, + {file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:561eb1c9579d495fddb6da8959fd2a1fca2c6d060d4113f5844b433fc02f2641"}, + {file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:df6e2f325bfee1f49f81aaac97d2aa757c7646534a06f8f577ce184afe2f0a9e"}, + {file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:140228863501b44b809fb39ec56b5d4071f4d0aa6d216c19cbb08b8c5a7eadb9"}, + {file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7707a25d6a77f5d27ea7dc7d1fc608aa0a478193823f88511ef5e6b8a48f9d03"}, + {file = "frozenlist-1.5.0-cp313-cp313-win32.whl", hash = "sha256:31a9ac2b38ab9b5a8933b693db4939764ad3f299fcaa931a3e605bc3460e693c"}, + {file = "frozenlist-1.5.0-cp313-cp313-win_amd64.whl", hash = "sha256:11aabdd62b8b9c4b84081a3c246506d1cddd2dd93ff0ad53ede5defec7886b28"}, + {file = "frozenlist-1.5.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:dd94994fc91a6177bfaafd7d9fd951bc8689b0a98168aa26b5f543868548d3ca"}, + {file = "frozenlist-1.5.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2d0da8bbec082bf6bf18345b180958775363588678f64998c2b7609e34719b10"}, + {file = "frozenlist-1.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:73f2e31ea8dd7df61a359b731716018c2be196e5bb3b74ddba107f694fbd7604"}, + {file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:828afae9f17e6de596825cf4228ff28fbdf6065974e5ac1410cecc22f699d2b3"}, + {file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f1577515d35ed5649d52ab4319db757bb881ce3b2b796d7283e6634d99ace307"}, + {file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2150cc6305a2c2ab33299453e2968611dacb970d2283a14955923062c8d00b10"}, + {file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a72b7a6e3cd2725eff67cd64c8f13335ee18fc3c7befc05aed043d24c7b9ccb9"}, + {file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c16d2fa63e0800723139137d667e1056bee1a1cf7965153d2d104b62855e9b99"}, + {file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:17dcc32fc7bda7ce5875435003220a457bcfa34ab7924a49a1c19f55b6ee185c"}, + {file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:97160e245ea33d8609cd2b8fd997c850b56db147a304a262abc2b3be021a9171"}, + {file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:f1e6540b7fa044eee0bb5111ada694cf3dc15f2b0347ca125ee9ca984d5e9e6e"}, + {file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:91d6c171862df0a6c61479d9724f22efb6109111017c87567cfeb7b5d1449fdf"}, + {file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c1fac3e2ace2eb1052e9f7c7db480818371134410e1f5c55d65e8f3ac6d1407e"}, + {file = "frozenlist-1.5.0-cp38-cp38-win32.whl", hash = "sha256:b97f7b575ab4a8af9b7bc1d2ef7f29d3afee2226bd03ca3875c16451ad5a7723"}, + {file = "frozenlist-1.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:374ca2dabdccad8e2a76d40b1d037f5bd16824933bf7bcea3e59c891fd4a0923"}, + {file = "frozenlist-1.5.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:9bbcdfaf4af7ce002694a4e10a0159d5a8d20056a12b05b45cea944a4953f972"}, + {file = "frozenlist-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1893f948bf6681733aaccf36c5232c231e3b5166d607c5fa77773611df6dc336"}, + {file = "frozenlist-1.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2b5e23253bb709ef57a8e95e6ae48daa9ac5f265637529e4ce6b003a37b2621f"}, + {file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f253985bb515ecd89629db13cb58d702035ecd8cfbca7d7a7e29a0e6d39af5f"}, + {file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:04a5c6babd5e8fb7d3c871dc8b321166b80e41b637c31a995ed844a6139942b6"}, + {file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9fe0f1c29ba24ba6ff6abf688cb0b7cf1efab6b6aa6adc55441773c252f7411"}, + {file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:226d72559fa19babe2ccd920273e767c96a49b9d3d38badd7c91a0fdeda8ea08"}, + {file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15b731db116ab3aedec558573c1a5eec78822b32292fe4f2f0345b7f697745c2"}, + {file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:366d8f93e3edfe5a918c874702f78faac300209a4d5bf38352b2c1bdc07a766d"}, + {file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1b96af8c582b94d381a1c1f51ffaedeb77c821c690ea5f01da3d70a487dd0a9b"}, + {file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:c03eff4a41bd4e38415cbed054bbaff4a075b093e2394b6915dca34a40d1e38b"}, + {file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:50cf5e7ee9b98f22bdecbabf3800ae78ddcc26e4a435515fc72d97903e8488e0"}, + {file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1e76bfbc72353269c44e0bc2cfe171900fbf7f722ad74c9a7b638052afe6a00c"}, + {file = "frozenlist-1.5.0-cp39-cp39-win32.whl", hash = "sha256:666534d15ba8f0fda3f53969117383d5dc021266b3c1a42c9ec4855e4b58b9d3"}, + {file = "frozenlist-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:5c28f4b5dbef8a0d8aad0d4de24d1e9e981728628afaf4ea0792f5d0939372f0"}, + {file = "frozenlist-1.5.0-py3-none-any.whl", hash = "sha256:d994863bba198a4a518b467bb971c56e1db3f180a25c6cf7bb1949c267f748c3"}, + {file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"}, +] + +[[package]] +name = "fsspec" +version = "2024.12.0" +description = "File-system specification" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "fsspec-2024.12.0-py3-none-any.whl", hash = "sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2"}, + {file = "fsspec-2024.12.0.tar.gz", hash = "sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f"}, +] + +[package.extras] +abfs = ["adlfs"] +adl = ["adlfs"] +arrow = ["pyarrow (>=1)"] +dask = ["dask", "distributed"] +dev = ["pre-commit", "ruff"] +doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] +dropbox = ["dropbox", "dropboxdrivefs", "requests"] +full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"] +fuse = ["fusepy"] +gcs = ["gcsfs"] +git = ["pygit2"] +github = ["requests"] +gs = ["gcsfs"] +gui = ["panel"] +hdfs = ["pyarrow (>=1)"] +http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"] +libarchive = ["libarchive-c"] +oci = ["ocifs"] +s3 = ["s3fs"] +sftp = ["paramiko"] +smb = ["smbprotocol"] +ssh = ["paramiko"] +test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] +test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"] +tqdm = ["tqdm"] + +[[package]] +name = "future" +version = "1.0.0" +description = "Clean single-source support for Python 3 and 2" +optional = false +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"}, + {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"}, +] + +[[package]] +name = "gradio" +version = "5.12.0" +description = "Python library for easily interacting with trained machine learning models" +optional = false +python-versions = ">=3.10" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "gradio-5.12.0-py3-none-any.whl", hash = "sha256:b4b79a2c537131a8a5e23046565e64da40156ac24f9082e563e734e89641e160"}, +] + +[package.dependencies] +aiofiles = ">=22.0,<24.0" +anyio = ">=3.0,<5.0" +fastapi = ">=0.115.2,<1.0" +ffmpy = "*" +gradio-client = "1.5.4" +httpx = ">=0.24.1" +huggingface-hub = ">=0.25.1" +jinja2 = "<4.0" +markupsafe = ">=2.0,<3.0" +numpy = ">=1.0,<3.0" +orjson = ">=3.0,<4.0" +packaging = "*" +pandas = ">=1.0,<3.0" +pillow = ">=8.0,<12.0" +pydantic = ">=2.0" +pydub = "*" +python-multipart = ">=0.0.18" +pyyaml = ">=5.0,<7.0" +ruff = {version = ">=0.2.2", markers = "sys_platform != \"emscripten\""} +safehttpx = ">=0.1.6,<0.2.0" +semantic-version = ">=2.0,<3.0" +starlette = {version = ">=0.40.0,<1.0", markers = "sys_platform != \"emscripten\""} +tomlkit = ">=0.12.0,<0.14.0" +typer = {version = ">=0.12,<1.0", markers = "sys_platform != \"emscripten\""} +typing-extensions = ">=4.0,<5.0" +urllib3 = {version = ">=2.0,<3.0", markers = "sys_platform == \"emscripten\""} +uvicorn = {version = ">=0.14.0", markers = "sys_platform != \"emscripten\""} + +[package.extras] +oauth = ["authlib", "itsdangerous"] + +[[package]] +name = "gradio-client" +version = "1.5.4" +description = "Python library for easily interacting with trained machine learning models" +optional = false +python-versions = ">=3.10" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "gradio_client-1.5.4-py3-none-any.whl", hash = "sha256:ad38c9a6f7fc590e822627f5bf5685321a7822b8f1a88b76d00a0621a43162d6"}, + {file = "gradio_client-1.5.4.tar.gz", hash = "sha256:281a1b6c4e45210c70b60888bb6f329c27f30645d7aa376e1f20966de82273dc"}, +] + +[package.dependencies] +fsspec = "*" +httpx = ">=0.24.1" +huggingface-hub = ">=0.19.3" +packaging = "*" +typing-extensions = ">=4.0,<5.0" +websockets = ">=10.0,<15.0" + +[[package]] +name = "h11" +version = "0.14.0" +description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"}, + {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"}, +] + +[[package]] +name = "httpcore" +version = "1.0.7" +description = "A minimal low-level HTTP client." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"}, + {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"}, +] + +[package.dependencies] +certifi = "*" +h11 = ">=0.13,<0.15" + +[package.extras] +asyncio = ["anyio (>=4.0,<5.0)"] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (==1.*)"] +trio = ["trio (>=0.22.0,<1.0)"] + +[[package]] +name = "httpx" +version = "0.27.2" +description = "The next generation HTTP client." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"}, + {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"}, +] + +[package.dependencies] +anyio = "*" +certifi = "*" +httpcore = "==1.*" +idna = "*" +sniffio = "*" + +[package.extras] +brotli = ["brotli", "brotlicffi"] +cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (==1.*)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "hugegraph-python" +version = "1.5.0" +description = "A Python SDK for Apache HugeGraph" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [] +develop = true + +[package.dependencies] +decorator = ">=5.1.1,<5.2.0" +requests = ">=2.32.0,<2.33.0" +rich = ">=13.9.4,<13.10.0" +setuptools = ">=70.0.0,<70.1.0" +urllib3 = ">=2.2.2,<2.3.0" + +[package.source] +type = "directory" +url = "../hugegraph-python-client" + +[[package]] +name = "huggingface-hub" +version = "0.27.1" +description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" +optional = false +python-versions = ">=3.8.0" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "huggingface_hub-0.27.1-py3-none-any.whl", hash = "sha256:1c5155ca7d60b60c2e2fc38cbb3ffb7f7c3adf48f824015b219af9061771daec"}, + {file = "huggingface_hub-0.27.1.tar.gz", hash = "sha256:c004463ca870283909d715d20f066ebd6968c2207dae9393fdffb3c1d4d8f98b"}, +] + +[package.dependencies] +filelock = "*" +fsspec = ">=2023.5.0" +packaging = ">=20.9" +pyyaml = ">=5.1" +requests = "*" +tqdm = ">=4.42.1" +typing-extensions = ">=3.7.4.3" + +[package.extras] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +cli = ["InquirerPy (==0.3.4)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] +hf-transfer = ["hf-transfer (>=0.1.4)"] +inference = ["aiohttp"] +quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"] +tensorflow = ["graphviz", "pydot", "tensorflow"] +tensorflow-testing = ["keras (<3.0)", "tensorflow"] +testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] +torch = ["safetensors[torch]", "torch"] +typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] + +[[package]] +name = "idna" +version = "3.10" +description = "Internationalized Domain Names in Applications (IDNA)" +optional = false +python-versions = ">=3.6" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"}, + {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"}, +] + +[package.extras] +all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"] + +[[package]] +name = "jieba" +version = "0.42.1" +description = "Chinese Words Segmentation Utilities" +optional = false +python-versions = "*" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "jieba-0.42.1.tar.gz", hash = "sha256:055ca12f62674fafed09427f176506079bc135638a14e23e25be909131928db2"}, +] + +[[package]] +name = "jinja2" +version = "3.1.5" +description = "A very fast and expressive template engine." +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"}, + {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"}, +] + +[package.dependencies] +MarkupSafe = ">=2.0" + +[package.extras] +i18n = ["Babel (>=2.7)"] + +[[package]] +name = "jiter" +version = "0.8.2" +description = "Fast iterable JSON parser." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "jiter-0.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ca8577f6a413abe29b079bc30f907894d7eb07a865c4df69475e868d73e71c7b"}, + {file = "jiter-0.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b25bd626bde7fb51534190c7e3cb97cee89ee76b76d7585580e22f34f5e3f393"}, + {file = "jiter-0.8.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5c826a221851a8dc028eb6d7d6429ba03184fa3c7e83ae01cd6d3bd1d4bd17d"}, + {file = "jiter-0.8.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d35c864c2dff13dfd79fb070fc4fc6235d7b9b359efe340e1261deb21b9fcb66"}, + {file = "jiter-0.8.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f557c55bc2b7676e74d39d19bcb8775ca295c7a028246175d6a8b431e70835e5"}, + {file = "jiter-0.8.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:580ccf358539153db147e40751a0b41688a5ceb275e6f3e93d91c9467f42b2e3"}, + {file = "jiter-0.8.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af102d3372e917cffce49b521e4c32c497515119dc7bd8a75665e90a718bbf08"}, + {file = "jiter-0.8.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:cadcc978f82397d515bb2683fc0d50103acff2a180552654bb92d6045dec2c49"}, + {file = "jiter-0.8.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:ba5bdf56969cad2019d4e8ffd3f879b5fdc792624129741d3d83fc832fef8c7d"}, + {file = "jiter-0.8.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:3b94a33a241bee9e34b8481cdcaa3d5c2116f575e0226e421bed3f7a6ea71cff"}, + {file = "jiter-0.8.2-cp310-cp310-win32.whl", hash = "sha256:6e5337bf454abddd91bd048ce0dca5134056fc99ca0205258766db35d0a2ea43"}, + {file = "jiter-0.8.2-cp310-cp310-win_amd64.whl", hash = "sha256:4a9220497ca0cb1fe94e3f334f65b9b5102a0b8147646118f020d8ce1de70105"}, + {file = "jiter-0.8.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:2dd61c5afc88a4fda7d8b2cf03ae5947c6ac7516d32b7a15bf4b49569a5c076b"}, + {file = "jiter-0.8.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a6c710d657c8d1d2adbbb5c0b0c6bfcec28fd35bd6b5f016395f9ac43e878a15"}, + {file = "jiter-0.8.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a9584de0cd306072635fe4b89742bf26feae858a0683b399ad0c2509011b9dc0"}, + {file = "jiter-0.8.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5a90a923338531b7970abb063cfc087eebae6ef8ec8139762007188f6bc69a9f"}, + {file = "jiter-0.8.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d21974d246ed0181558087cd9f76e84e8321091ebfb3a93d4c341479a736f099"}, + {file = "jiter-0.8.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:32475a42b2ea7b344069dc1e81445cfc00b9d0e3ca837f0523072432332e9f74"}, + {file = "jiter-0.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b9931fd36ee513c26b5bf08c940b0ac875de175341cbdd4fa3be109f0492586"}, + {file = "jiter-0.8.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ce0820f4a3a59ddced7fce696d86a096d5cc48d32a4183483a17671a61edfddc"}, + {file = "jiter-0.8.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:8ffc86ae5e3e6a93765d49d1ab47b6075a9c978a2b3b80f0f32628f39caa0c88"}, + {file = "jiter-0.8.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5127dc1abd809431172bc3fbe8168d6b90556a30bb10acd5ded41c3cfd6f43b6"}, + {file = "jiter-0.8.2-cp311-cp311-win32.whl", hash = "sha256:66227a2c7b575720c1871c8800d3a0122bb8ee94edb43a5685aa9aceb2782d44"}, + {file = "jiter-0.8.2-cp311-cp311-win_amd64.whl", hash = "sha256:cde031d8413842a1e7501e9129b8e676e62a657f8ec8166e18a70d94d4682855"}, + {file = "jiter-0.8.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:e6ec2be506e7d6f9527dae9ff4b7f54e68ea44a0ef6b098256ddf895218a2f8f"}, + {file = "jiter-0.8.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:76e324da7b5da060287c54f2fabd3db5f76468006c811831f051942bf68c9d44"}, + {file = "jiter-0.8.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:180a8aea058f7535d1c84183c0362c710f4750bef66630c05f40c93c2b152a0f"}, + {file = "jiter-0.8.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:025337859077b41548bdcbabe38698bcd93cfe10b06ff66617a48ff92c9aec60"}, + {file = "jiter-0.8.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ecff0dc14f409599bbcafa7e470c00b80f17abc14d1405d38ab02e4b42e55b57"}, + {file = "jiter-0.8.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ffd9fee7d0775ebaba131f7ca2e2d83839a62ad65e8e02fe2bd8fc975cedeb9e"}, + {file = "jiter-0.8.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14601dcac4889e0a1c75ccf6a0e4baf70dbc75041e51bcf8d0e9274519df6887"}, + {file = "jiter-0.8.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:92249669925bc1c54fcd2ec73f70f2c1d6a817928480ee1c65af5f6b81cdf12d"}, + {file = "jiter-0.8.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e725edd0929fa79f8349ab4ec7f81c714df51dc4e991539a578e5018fa4a7152"}, + {file = "jiter-0.8.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:bf55846c7b7a680eebaf9c3c48d630e1bf51bdf76c68a5f654b8524335b0ad29"}, + {file = "jiter-0.8.2-cp312-cp312-win32.whl", hash = "sha256:7efe4853ecd3d6110301665a5178b9856be7e2a9485f49d91aa4d737ad2ae49e"}, + {file = "jiter-0.8.2-cp312-cp312-win_amd64.whl", hash = "sha256:83c0efd80b29695058d0fd2fa8a556490dbce9804eac3e281f373bbc99045f6c"}, + {file = "jiter-0.8.2-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:ca1f08b8e43dc3bd0594c992fb1fd2f7ce87f7bf0d44358198d6da8034afdf84"}, + {file = "jiter-0.8.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5672a86d55416ccd214c778efccf3266b84f87b89063b582167d803246354be4"}, + {file = "jiter-0.8.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58dc9bc9767a1101f4e5e22db1b652161a225874d66f0e5cb8e2c7d1c438b587"}, + {file = "jiter-0.8.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:37b2998606d6dadbb5ccda959a33d6a5e853252d921fec1792fc902351bb4e2c"}, + {file = "jiter-0.8.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4ab9a87f3784eb0e098f84a32670cfe4a79cb6512fd8f42ae3d0709f06405d18"}, + {file = "jiter-0.8.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:79aec8172b9e3c6d05fd4b219d5de1ac616bd8da934107325a6c0d0e866a21b6"}, + {file = "jiter-0.8.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:711e408732d4e9a0208008e5892c2966b485c783cd2d9a681f3eb147cf36c7ef"}, + {file = "jiter-0.8.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:653cf462db4e8c41995e33d865965e79641ef45369d8a11f54cd30888b7e6ff1"}, + {file = "jiter-0.8.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:9c63eaef32b7bebac8ebebf4dabebdbc6769a09c127294db6babee38e9f405b9"}, + {file = "jiter-0.8.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:eb21aaa9a200d0a80dacc7a81038d2e476ffe473ffdd9c91eb745d623561de05"}, + {file = "jiter-0.8.2-cp313-cp313-win32.whl", hash = "sha256:789361ed945d8d42850f919342a8665d2dc79e7e44ca1c97cc786966a21f627a"}, + {file = "jiter-0.8.2-cp313-cp313-win_amd64.whl", hash = "sha256:ab7f43235d71e03b941c1630f4b6e3055d46b6cb8728a17663eaac9d8e83a865"}, + {file = "jiter-0.8.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b426f72cd77da3fec300ed3bc990895e2dd6b49e3bfe6c438592a3ba660e41ca"}, + {file = "jiter-0.8.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2dd880785088ff2ad21ffee205e58a8c1ddabc63612444ae41e5e4b321b39c0"}, + {file = "jiter-0.8.2-cp313-cp313t-win_amd64.whl", hash = "sha256:3ac9f578c46f22405ff7f8b1f5848fb753cc4b8377fbec8470a7dc3997ca7566"}, + {file = "jiter-0.8.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:9e1fa156ee9454642adb7e7234a383884452532bc9d53d5af2d18d98ada1d79c"}, + {file = "jiter-0.8.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0cf5dfa9956d96ff2efb0f8e9c7d055904012c952539a774305aaaf3abdf3d6c"}, + {file = "jiter-0.8.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e52bf98c7e727dd44f7c4acb980cb988448faeafed8433c867888268899b298b"}, + {file = "jiter-0.8.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a2ecaa3c23e7a7cf86d00eda3390c232f4d533cd9ddea4b04f5d0644faf642c5"}, + {file = "jiter-0.8.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:08d4c92bf480e19fc3f2717c9ce2aa31dceaa9163839a311424b6862252c943e"}, + {file = "jiter-0.8.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99d9a1eded738299ba8e106c6779ce5c3893cffa0e32e4485d680588adae6db8"}, + {file = "jiter-0.8.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d20be8b7f606df096e08b0b1b4a3c6f0515e8dac296881fe7461dfa0fb5ec817"}, + {file = "jiter-0.8.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d33f94615fcaf872f7fd8cd98ac3b429e435c77619777e8a449d9d27e01134d1"}, + {file = "jiter-0.8.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:317b25e98a35ffec5c67efe56a4e9970852632c810d35b34ecdd70cc0e47b3b6"}, + {file = "jiter-0.8.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fc9043259ee430ecd71d178fccabd8c332a3bf1e81e50cae43cc2b28d19e4cb7"}, + {file = "jiter-0.8.2-cp38-cp38-win32.whl", hash = "sha256:fc5adda618205bd4678b146612ce44c3cbfdee9697951f2c0ffdef1f26d72b63"}, + {file = "jiter-0.8.2-cp38-cp38-win_amd64.whl", hash = "sha256:cd646c827b4f85ef4a78e4e58f4f5854fae0caf3db91b59f0d73731448a970c6"}, + {file = "jiter-0.8.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:e41e75344acef3fc59ba4765df29f107f309ca9e8eace5baacabd9217e52a5ee"}, + {file = "jiter-0.8.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7f22b16b35d5c1df9dfd58843ab2cd25e6bf15191f5a236bed177afade507bfc"}, + {file = "jiter-0.8.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f7200b8f7619d36aa51c803fd52020a2dfbea36ffec1b5e22cab11fd34d95a6d"}, + {file = "jiter-0.8.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:70bf4c43652cc294040dbb62256c83c8718370c8b93dd93d934b9a7bf6c4f53c"}, + {file = "jiter-0.8.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f9d471356dc16f84ed48768b8ee79f29514295c7295cb41e1133ec0b2b8d637d"}, + {file = "jiter-0.8.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:859e8eb3507894093d01929e12e267f83b1d5f6221099d3ec976f0c995cb6bd9"}, + {file = "jiter-0.8.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eaa58399c01db555346647a907b4ef6d4f584b123943be6ed5588c3f2359c9f4"}, + {file = "jiter-0.8.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8f2d5ed877f089862f4c7aacf3a542627c1496f972a34d0474ce85ee7d939c27"}, + {file = "jiter-0.8.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:03c9df035d4f8d647f8c210ddc2ae0728387275340668fb30d2421e17d9a0841"}, + {file = "jiter-0.8.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8bd2a824d08d8977bb2794ea2682f898ad3d8837932e3a74937e93d62ecbb637"}, + {file = "jiter-0.8.2-cp39-cp39-win32.whl", hash = "sha256:ca29b6371ebc40e496995c94b988a101b9fbbed48a51190a4461fcb0a68b4a36"}, + {file = "jiter-0.8.2-cp39-cp39-win_amd64.whl", hash = "sha256:1c0dfbd1be3cbefc7510102370d86e35d1d53e5a93d48519688b1bf0f761160a"}, + {file = "jiter-0.8.2.tar.gz", hash = "sha256:cd73d3e740666d0e639f678adb176fad25c1bcbdae88d8d7b857e1783bb4212d"}, +] + +[[package]] +name = "joblib" +version = "1.4.2" +description = "Lightweight pipelining with Python functions" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"}, + {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"}, +] + +[[package]] +name = "jsonpatch" +version = "1.33" +description = "Apply JSON-Patches (RFC 6902)" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"}, + {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"}, +] + +[package.dependencies] +jsonpointer = ">=1.9" + +[[package]] +name = "jsonpointer" +version = "3.0.0" +description = "Identify specific nodes in a JSON document (RFC 6901)" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, + {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"}, +] + +[[package]] +name = "langchain-core" +version = "0.2.43" +description = "Building applications with LLMs through composability" +optional = false +python-versions = "<4.0,>=3.8.1" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "langchain_core-0.2.43-py3-none-any.whl", hash = "sha256:619601235113298ebf8252a349754b7c28d3cf7166c7c922da24944b78a9363a"}, + {file = "langchain_core-0.2.43.tar.gz", hash = "sha256:42c2ef6adedb911f4254068b6adc9eb4c4075f6c8cb3d83590d3539a815695f5"}, +] + +[package.dependencies] +jsonpatch = ">=1.33,<2.0" +langsmith = ">=0.1.112,<0.2.0" +packaging = ">=23.2,<25" +pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""} +PyYAML = ">=5.3" +tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" +typing-extensions = ">=4.7" + +[[package]] +name = "langchain-text-splitters" +version = "0.2.4" +description = "LangChain text splitting utilities" +optional = false +python-versions = "<4.0,>=3.8.1" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "langchain_text_splitters-0.2.4-py3-none-any.whl", hash = "sha256:2702dee5b7cbdd595ccbe43b8d38d01a34aa8583f4d6a5a68ad2305ae3e7b645"}, + {file = "langchain_text_splitters-0.2.4.tar.gz", hash = "sha256:f7daa7a3b0aa8309ce248e2e2b6fc8115be01118d336c7f7f7dfacda0e89bf29"}, +] + +[package.dependencies] +langchain-core = ">=0.2.38,<0.3.0" + +[[package]] +name = "langsmith" +version = "0.1.147" +description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." +optional = false +python-versions = "<4.0,>=3.8.1" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "langsmith-0.1.147-py3-none-any.whl", hash = "sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"}, + {file = "langsmith-0.1.147.tar.gz", hash = "sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"}, +] + +[package.dependencies] +httpx = ">=0.23.0,<1" +orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""} +pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""} +requests = ">=2,<3" +requests-toolbelt = ">=1.0.0,<2.0.0" + +[package.extras] +langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"] + +[[package]] +name = "lxml" +version = "5.3.0" +description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API." +optional = false +python-versions = ">=3.6" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "lxml-5.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:dd36439be765e2dde7660212b5275641edbc813e7b24668831a5c8ac91180656"}, + {file = "lxml-5.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ae5fe5c4b525aa82b8076c1a59d642c17b6e8739ecf852522c6321852178119d"}, + {file = "lxml-5.3.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:501d0d7e26b4d261fca8132854d845e4988097611ba2531408ec91cf3fd9d20a"}, + {file = "lxml-5.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb66442c2546446944437df74379e9cf9e9db353e61301d1a0e26482f43f0dd8"}, + {file = "lxml-5.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9e41506fec7a7f9405b14aa2d5c8abbb4dbbd09d88f9496958b6d00cb4d45330"}, + {file = "lxml-5.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f7d4a670107d75dfe5ad080bed6c341d18c4442f9378c9f58e5851e86eb79965"}, + {file = "lxml-5.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41ce1f1e2c7755abfc7e759dc34d7d05fd221723ff822947132dc934d122fe22"}, + {file = "lxml-5.3.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:44264ecae91b30e5633013fb66f6ddd05c006d3e0e884f75ce0b4755b3e3847b"}, + {file = "lxml-5.3.0-cp310-cp310-manylinux_2_28_ppc64le.whl", hash = "sha256:3c174dc350d3ec52deb77f2faf05c439331d6ed5e702fc247ccb4e6b62d884b7"}, + {file = "lxml-5.3.0-cp310-cp310-manylinux_2_28_s390x.whl", hash = "sha256:2dfab5fa6a28a0b60a20638dc48e6343c02ea9933e3279ccb132f555a62323d8"}, + {file = "lxml-5.3.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:b1c8c20847b9f34e98080da785bb2336ea982e7f913eed5809e5a3c872900f32"}, + {file = "lxml-5.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2c86bf781b12ba417f64f3422cfc302523ac9cd1d8ae8c0f92a1c66e56ef2e86"}, + {file = "lxml-5.3.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:c162b216070f280fa7da844531169be0baf9ccb17263cf5a8bf876fcd3117fa5"}, + {file = "lxml-5.3.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:36aef61a1678cb778097b4a6eeae96a69875d51d1e8f4d4b491ab3cfb54b5a03"}, + {file = "lxml-5.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f65e5120863c2b266dbcc927b306c5b78e502c71edf3295dfcb9501ec96e5fc7"}, + {file = "lxml-5.3.0-cp310-cp310-win32.whl", hash = "sha256:ef0c1fe22171dd7c7c27147f2e9c3e86f8bdf473fed75f16b0c2e84a5030ce80"}, + {file = "lxml-5.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:052d99051e77a4f3e8482c65014cf6372e61b0a6f4fe9edb98503bb5364cfee3"}, + {file = "lxml-5.3.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:74bcb423462233bc5d6066e4e98b0264e7c1bed7541fff2f4e34fe6b21563c8b"}, + {file = "lxml-5.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a3d819eb6f9b8677f57f9664265d0a10dd6551d227afb4af2b9cd7bdc2ccbf18"}, + {file = "lxml-5.3.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5b8f5db71b28b8c404956ddf79575ea77aa8b1538e8b2ef9ec877945b3f46442"}, + {file = "lxml-5.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c3406b63232fc7e9b8783ab0b765d7c59e7c59ff96759d8ef9632fca27c7ee4"}, + {file = "lxml-5.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2ecdd78ab768f844c7a1d4a03595038c166b609f6395e25af9b0f3f26ae1230f"}, + {file = "lxml-5.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:168f2dfcfdedf611eb285efac1516c8454c8c99caf271dccda8943576b67552e"}, + {file = "lxml-5.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa617107a410245b8660028a7483b68e7914304a6d4882b5ff3d2d3eb5948d8c"}, + {file = "lxml-5.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:69959bd3167b993e6e710b99051265654133a98f20cec1d9b493b931942e9c16"}, + {file = "lxml-5.3.0-cp311-cp311-manylinux_2_28_ppc64le.whl", hash = "sha256:bd96517ef76c8654446fc3db9242d019a1bb5fe8b751ba414765d59f99210b79"}, + {file = "lxml-5.3.0-cp311-cp311-manylinux_2_28_s390x.whl", hash = "sha256:ab6dd83b970dc97c2d10bc71aa925b84788c7c05de30241b9e96f9b6d9ea3080"}, + {file = "lxml-5.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:eec1bb8cdbba2925bedc887bc0609a80e599c75b12d87ae42ac23fd199445654"}, + {file = "lxml-5.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6a7095eeec6f89111d03dabfe5883a1fd54da319c94e0fb104ee8f23616b572d"}, + {file = "lxml-5.3.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:6f651ebd0b21ec65dfca93aa629610a0dbc13dbc13554f19b0113da2e61a4763"}, + {file = "lxml-5.3.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:f422a209d2455c56849442ae42f25dbaaba1c6c3f501d58761c619c7836642ec"}, + {file = "lxml-5.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:62f7fdb0d1ed2065451f086519865b4c90aa19aed51081979ecd05a21eb4d1be"}, + {file = "lxml-5.3.0-cp311-cp311-win32.whl", hash = "sha256:c6379f35350b655fd817cd0d6cbeef7f265f3ae5fedb1caae2eb442bbeae9ab9"}, + {file = "lxml-5.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:9c52100e2c2dbb0649b90467935c4b0de5528833c76a35ea1a2691ec9f1ee7a1"}, + {file = "lxml-5.3.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e99f5507401436fdcc85036a2e7dc2e28d962550afe1cbfc07c40e454256a859"}, + {file = "lxml-5.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:384aacddf2e5813a36495233b64cb96b1949da72bef933918ba5c84e06af8f0e"}, + {file = "lxml-5.3.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:874a216bf6afaf97c263b56371434e47e2c652d215788396f60477540298218f"}, + {file = "lxml-5.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:65ab5685d56914b9a2a34d67dd5488b83213d680b0c5d10b47f81da5a16b0b0e"}, + {file = "lxml-5.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aac0bbd3e8dd2d9c45ceb82249e8bdd3ac99131a32b4d35c8af3cc9db1657179"}, + {file = "lxml-5.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b369d3db3c22ed14c75ccd5af429086f166a19627e84a8fdade3f8f31426e52a"}, + {file = "lxml-5.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c24037349665434f375645fa9d1f5304800cec574d0310f618490c871fd902b3"}, + {file = "lxml-5.3.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:62d172f358f33a26d6b41b28c170c63886742f5b6772a42b59b4f0fa10526cb1"}, + {file = "lxml-5.3.0-cp312-cp312-manylinux_2_28_ppc64le.whl", hash = "sha256:c1f794c02903c2824fccce5b20c339a1a14b114e83b306ff11b597c5f71a1c8d"}, + {file = "lxml-5.3.0-cp312-cp312-manylinux_2_28_s390x.whl", hash = "sha256:5d6a6972b93c426ace71e0be9a6f4b2cfae9b1baed2eed2006076a746692288c"}, + {file = "lxml-5.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:3879cc6ce938ff4eb4900d901ed63555c778731a96365e53fadb36437a131a99"}, + {file = "lxml-5.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:74068c601baff6ff021c70f0935b0c7bc528baa8ea210c202e03757c68c5a4ff"}, + {file = "lxml-5.3.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:ecd4ad8453ac17bc7ba3868371bffb46f628161ad0eefbd0a855d2c8c32dd81a"}, + {file = "lxml-5.3.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:7e2f58095acc211eb9d8b5771bf04df9ff37d6b87618d1cbf85f92399c98dae8"}, + {file = "lxml-5.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e63601ad5cd8f860aa99d109889b5ac34de571c7ee902d6812d5d9ddcc77fa7d"}, + {file = "lxml-5.3.0-cp312-cp312-win32.whl", hash = "sha256:17e8d968d04a37c50ad9c456a286b525d78c4a1c15dd53aa46c1d8e06bf6fa30"}, + {file = "lxml-5.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:c1a69e58a6bb2de65902051d57fde951febad631a20a64572677a1052690482f"}, + {file = "lxml-5.3.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8c72e9563347c7395910de6a3100a4840a75a6f60e05af5e58566868d5eb2d6a"}, + {file = "lxml-5.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e92ce66cd919d18d14b3856906a61d3f6b6a8500e0794142338da644260595cd"}, + {file = "lxml-5.3.0-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1d04f064bebdfef9240478f7a779e8c5dc32b8b7b0b2fc6a62e39b928d428e51"}, + {file = "lxml-5.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c2fb570d7823c2bbaf8b419ba6e5662137f8166e364a8b2b91051a1fb40ab8b"}, + {file = "lxml-5.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0c120f43553ec759f8de1fee2f4794452b0946773299d44c36bfe18e83caf002"}, + {file = "lxml-5.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:562e7494778a69086f0312ec9689f6b6ac1c6b65670ed7d0267e49f57ffa08c4"}, + {file = "lxml-5.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:423b121f7e6fa514ba0c7918e56955a1d4470ed35faa03e3d9f0e3baa4c7e492"}, + {file = "lxml-5.3.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:c00f323cc00576df6165cc9d21a4c21285fa6b9989c5c39830c3903dc4303ef3"}, + {file = "lxml-5.3.0-cp313-cp313-manylinux_2_28_ppc64le.whl", hash = "sha256:1fdc9fae8dd4c763e8a31e7630afef517eab9f5d5d31a278df087f307bf601f4"}, + {file = "lxml-5.3.0-cp313-cp313-manylinux_2_28_s390x.whl", hash = "sha256:658f2aa69d31e09699705949b5fc4719cbecbd4a97f9656a232e7d6c7be1a367"}, + {file = "lxml-5.3.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:1473427aff3d66a3fa2199004c3e601e6c4500ab86696edffdbc84954c72d832"}, + {file = "lxml-5.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a87de7dd873bf9a792bf1e58b1c3887b9264036629a5bf2d2e6579fe8e73edff"}, + {file = "lxml-5.3.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:0d7b36afa46c97875303a94e8f3ad932bf78bace9e18e603f2085b652422edcd"}, + {file = "lxml-5.3.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:cf120cce539453ae086eacc0130a324e7026113510efa83ab42ef3fcfccac7fb"}, + {file = "lxml-5.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:df5c7333167b9674aa8ae1d4008fa4bc17a313cc490b2cca27838bbdcc6bb15b"}, + {file = "lxml-5.3.0-cp313-cp313-win32.whl", hash = "sha256:c802e1c2ed9f0c06a65bc4ed0189d000ada8049312cfeab6ca635e39c9608957"}, + {file = "lxml-5.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:406246b96d552e0503e17a1006fd27edac678b3fcc9f1be71a2f94b4ff61528d"}, + {file = "lxml-5.3.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:8f0de2d390af441fe8b2c12626d103540b5d850d585b18fcada58d972b74a74e"}, + {file = "lxml-5.3.0-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1afe0a8c353746e610bd9031a630a95bcfb1a720684c3f2b36c4710a0a96528f"}, + {file = "lxml-5.3.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:56b9861a71575f5795bde89256e7467ece3d339c9b43141dbdd54544566b3b94"}, + {file = "lxml-5.3.0-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:9fb81d2824dff4f2e297a276297e9031f46d2682cafc484f49de182aa5e5df99"}, + {file = "lxml-5.3.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:2c226a06ecb8cdef28845ae976da407917542c5e6e75dcac7cc33eb04aaeb237"}, + {file = "lxml-5.3.0-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:7d3d1ca42870cdb6d0d29939630dbe48fa511c203724820fc0fd507b2fb46577"}, + {file = "lxml-5.3.0-cp36-cp36m-win32.whl", hash = "sha256:094cb601ba9f55296774c2d57ad68730daa0b13dc260e1f941b4d13678239e70"}, + {file = "lxml-5.3.0-cp36-cp36m-win_amd64.whl", hash = "sha256:eafa2c8658f4e560b098fe9fc54539f86528651f61849b22111a9b107d18910c"}, + {file = "lxml-5.3.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:cb83f8a875b3d9b458cada4f880fa498646874ba4011dc974e071a0a84a1b033"}, + {file = "lxml-5.3.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:25f1b69d41656b05885aa185f5fdf822cb01a586d1b32739633679699f220391"}, + {file = "lxml-5.3.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23e0553b8055600b3bf4a00b255ec5c92e1e4aebf8c2c09334f8368e8bd174d6"}, + {file = "lxml-5.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ada35dd21dc6c039259596b358caab6b13f4db4d4a7f8665764d616daf9cc1d"}, + {file = "lxml-5.3.0-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:81b4e48da4c69313192d8c8d4311e5d818b8be1afe68ee20f6385d0e96fc9512"}, + {file = "lxml-5.3.0-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:2bc9fd5ca4729af796f9f59cd8ff160fe06a474da40aca03fcc79655ddee1a8b"}, + {file = "lxml-5.3.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:07da23d7ee08577760f0a71d67a861019103e4812c87e2fab26b039054594cc5"}, + {file = "lxml-5.3.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:ea2e2f6f801696ad7de8aec061044d6c8c0dd4037608c7cab38a9a4d316bfb11"}, + {file = "lxml-5.3.0-cp37-cp37m-win32.whl", hash = "sha256:5c54afdcbb0182d06836cc3d1be921e540be3ebdf8b8a51ee3ef987537455f84"}, + {file = "lxml-5.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:f2901429da1e645ce548bf9171784c0f74f0718c3f6150ce166be39e4dd66c3e"}, + {file = "lxml-5.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c56a1d43b2f9ee4786e4658c7903f05da35b923fb53c11025712562d5cc02753"}, + {file = "lxml-5.3.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ee8c39582d2652dcd516d1b879451500f8db3fe3607ce45d7c5957ab2596040"}, + {file = "lxml-5.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fdf3a3059611f7585a78ee10399a15566356116a4288380921a4b598d807a22"}, + {file = "lxml-5.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:146173654d79eb1fc97498b4280c1d3e1e5d58c398fa530905c9ea50ea849b22"}, + {file = "lxml-5.3.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:0a7056921edbdd7560746f4221dca89bb7a3fe457d3d74267995253f46343f15"}, + {file = "lxml-5.3.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:9e4b47ac0f5e749cfc618efdf4726269441014ae1d5583e047b452a32e221920"}, + {file = "lxml-5.3.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:f914c03e6a31deb632e2daa881fe198461f4d06e57ac3d0e05bbcab8eae01945"}, + {file = "lxml-5.3.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:213261f168c5e1d9b7535a67e68b1f59f92398dd17a56d934550837143f79c42"}, + {file = "lxml-5.3.0-cp38-cp38-win32.whl", hash = "sha256:218c1b2e17a710e363855594230f44060e2025b05c80d1f0661258142b2add2e"}, + {file = "lxml-5.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:315f9542011b2c4e1d280e4a20ddcca1761993dda3afc7a73b01235f8641e903"}, + {file = "lxml-5.3.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:1ffc23010330c2ab67fac02781df60998ca8fe759e8efde6f8b756a20599c5de"}, + {file = "lxml-5.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2b3778cb38212f52fac9fe913017deea2fdf4eb1a4f8e4cfc6b009a13a6d3fcc"}, + {file = "lxml-5.3.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4b0c7a688944891086ba192e21c5229dea54382f4836a209ff8d0a660fac06be"}, + {file = "lxml-5.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:747a3d3e98e24597981ca0be0fd922aebd471fa99d0043a3842d00cdcad7ad6a"}, + {file = "lxml-5.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86a6b24b19eaebc448dc56b87c4865527855145d851f9fc3891673ff97950540"}, + {file = "lxml-5.3.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b11a5d918a6216e521c715b02749240fb07ae5a1fefd4b7bf12f833bc8b4fe70"}, + {file = "lxml-5.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:68b87753c784d6acb8a25b05cb526c3406913c9d988d51f80adecc2b0775d6aa"}, + {file = "lxml-5.3.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:109fa6fede314cc50eed29e6e56c540075e63d922455346f11e4d7a036d2b8cf"}, + {file = "lxml-5.3.0-cp39-cp39-manylinux_2_28_ppc64le.whl", hash = "sha256:02ced472497b8362c8e902ade23e3300479f4f43e45f4105c85ef43b8db85229"}, + {file = "lxml-5.3.0-cp39-cp39-manylinux_2_28_s390x.whl", hash = "sha256:6b038cc86b285e4f9fea2ba5ee76e89f21ed1ea898e287dc277a25884f3a7dfe"}, + {file = "lxml-5.3.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:7437237c6a66b7ca341e868cda48be24b8701862757426852c9b3186de1da8a2"}, + {file = "lxml-5.3.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7f41026c1d64043a36fda21d64c5026762d53a77043e73e94b71f0521939cc71"}, + {file = "lxml-5.3.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:482c2f67761868f0108b1743098640fbb2a28a8e15bf3f47ada9fa59d9fe08c3"}, + {file = "lxml-5.3.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:1483fd3358963cc5c1c9b122c80606a3a79ee0875bcac0204149fa09d6ff2727"}, + {file = "lxml-5.3.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:2dec2d1130a9cda5b904696cec33b2cfb451304ba9081eeda7f90f724097300a"}, + {file = "lxml-5.3.0-cp39-cp39-win32.whl", hash = "sha256:a0eabd0a81625049c5df745209dc7fcef6e2aea7793e5f003ba363610aa0a3ff"}, + {file = "lxml-5.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:89e043f1d9d341c52bf2af6d02e6adde62e0a46e6755d5eb60dc6e4f0b8aeca2"}, + {file = "lxml-5.3.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7b1cd427cb0d5f7393c31b7496419da594fe600e6fdc4b105a54f82405e6626c"}, + {file = "lxml-5.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51806cfe0279e06ed8500ce19479d757db42a30fd509940b1701be9c86a5ff9a"}, + {file = "lxml-5.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ee70d08fd60c9565ba8190f41a46a54096afa0eeb8f76bd66f2c25d3b1b83005"}, + {file = "lxml-5.3.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:8dc2c0395bea8254d8daebc76dcf8eb3a95ec2a46fa6fae5eaccee366bfe02ce"}, + {file = "lxml-5.3.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:6ba0d3dcac281aad8a0e5b14c7ed6f9fa89c8612b47939fc94f80b16e2e9bc83"}, + {file = "lxml-5.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:6e91cf736959057f7aac7adfc83481e03615a8e8dd5758aa1d95ea69e8931dba"}, + {file = "lxml-5.3.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:94d6c3782907b5e40e21cadf94b13b0842ac421192f26b84c45f13f3c9d5dc27"}, + {file = "lxml-5.3.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c300306673aa0f3ed5ed9372b21867690a17dba38c68c44b287437c362ce486b"}, + {file = "lxml-5.3.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78d9b952e07aed35fe2e1a7ad26e929595412db48535921c5013edc8aa4a35ce"}, + {file = "lxml-5.3.0-pp37-pypy37_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:01220dca0d066d1349bd6a1726856a78f7929f3878f7e2ee83c296c69495309e"}, + {file = "lxml-5.3.0-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:2d9b8d9177afaef80c53c0a9e30fa252ff3036fb1c6494d427c066a4ce6a282f"}, + {file = "lxml-5.3.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:20094fc3f21ea0a8669dc4c61ed7fa8263bd37d97d93b90f28fc613371e7a875"}, + {file = "lxml-5.3.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ace2c2326a319a0bb8a8b0e5b570c764962e95818de9f259ce814ee666603f19"}, + {file = "lxml-5.3.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92e67a0be1639c251d21e35fe74df6bcc40cba445c2cda7c4a967656733249e2"}, + {file = "lxml-5.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd5350b55f9fecddc51385463a4f67a5da829bc741e38cf689f38ec9023f54ab"}, + {file = "lxml-5.3.0-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:4c1fefd7e3d00921c44dc9ca80a775af49698bbfd92ea84498e56acffd4c5469"}, + {file = "lxml-5.3.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:71a8dd38fbd2f2319136d4ae855a7078c69c9a38ae06e0c17c73fd70fc6caad8"}, + {file = "lxml-5.3.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:97acf1e1fd66ab53dacd2c35b319d7e548380c2e9e8c54525c6e76d21b1ae3b1"}, + {file = "lxml-5.3.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:68934b242c51eb02907c5b81d138cb977b2129a0a75a8f8b60b01cb8586c7b21"}, + {file = "lxml-5.3.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b710bc2b8292966b23a6a0121f7a6c51d45d2347edcc75f016ac123b8054d3f2"}, + {file = "lxml-5.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18feb4b93302091b1541221196a2155aa296c363fd233814fa11e181adebc52f"}, + {file = "lxml-5.3.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:3eb44520c4724c2e1a57c0af33a379eee41792595023f367ba3952a2d96c2aab"}, + {file = "lxml-5.3.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:609251a0ca4770e5a8768ff902aa02bf636339c5a93f9349b48eb1f606f7f3e9"}, + {file = "lxml-5.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:516f491c834eb320d6c843156440fe7fc0d50b33e44387fcec5b02f0bc118a4c"}, + {file = "lxml-5.3.0.tar.gz", hash = "sha256:4e109ca30d1edec1ac60cdbe341905dc3b8f55b16855e03a54aaf59e51ec8c6f"}, +] + +[package.extras] +cssselect = ["cssselect (>=0.7)"] +html-clean = ["lxml-html-clean"] +html5 = ["html5lib"] +htmlsoup = ["BeautifulSoup4"] +source = ["Cython (>=3.0.11)"] + +[[package]] +name = "markdown-it-py" +version = "3.0.0" +description = "Python port of markdown-it. Markdown parsing, done right!" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"}, + {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"}, +] + +[package.dependencies] +mdurl = ">=0.1,<1.0" + +[package.extras] +benchmarking = ["psutil", "pytest", "pytest-benchmark"] +code-style = ["pre-commit (>=3.0,<4.0)"] +compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"] +linkify = ["linkify-it-py (>=1,<3)"] +plugins = ["mdit-py-plugins"] +profiling = ["gprof2dot"] +rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"] +testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] + +[[package]] +name = "markupsafe" +version = "2.1.5" +description = "Safely add untrusted strings to HTML/XML markup." +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl", hash = "sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-win32.whl", hash = "sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl", hash = "sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-win32.whl", hash = "sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl", hash = "sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-win32.whl", hash = "sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-win_amd64.whl", hash = "sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-win32.whl", hash = "sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-win_amd64.whl", hash = "sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-win32.whl", hash = "sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"}, + {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"}, +] + +[[package]] +name = "mdurl" +version = "0.1.2" +description = "Markdown URL utilities" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, + {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, +] + +[[package]] +name = "multidict" +version = "6.1.0" +description = "multidict implementation" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"}, + {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"}, + {file = "multidict-6.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a114d03b938376557927ab23f1e950827c3b893ccb94b62fd95d430fd0e5cf53"}, + {file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1c416351ee6271b2f49b56ad7f308072f6f44b37118d69c2cad94f3fa8a40d5"}, + {file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6b5d83030255983181005e6cfbac1617ce9746b219bc2aad52201ad121226581"}, + {file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3e97b5e938051226dc025ec80980c285b053ffb1e25a3db2a3aa3bc046bf7f56"}, + {file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d618649d4e70ac6efcbba75be98b26ef5078faad23592f9b51ca492953012429"}, + {file = "multidict-6.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10524ebd769727ac77ef2278390fb0068d83f3acb7773792a5080f2b0abf7748"}, + {file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ff3827aef427c89a25cc96ded1759271a93603aba9fb977a6d264648ebf989db"}, + {file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:06809f4f0f7ab7ea2cabf9caca7d79c22c0758b58a71f9d32943ae13c7ace056"}, + {file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:f179dee3b863ab1c59580ff60f9d99f632f34ccb38bf67a33ec6b3ecadd0fd76"}, + {file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:aaed8b0562be4a0876ee3b6946f6869b7bcdb571a5d1496683505944e268b160"}, + {file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3c8b88a2ccf5493b6c8da9076fb151ba106960a2df90c2633f342f120751a9e7"}, + {file = "multidict-6.1.0-cp310-cp310-win32.whl", hash = "sha256:4a9cb68166a34117d6646c0023c7b759bf197bee5ad4272f420a0141d7eb03a0"}, + {file = "multidict-6.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:20b9b5fbe0b88d0bdef2012ef7dee867f874b72528cf1d08f1d59b0e3850129d"}, + {file = "multidict-6.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3efe2c2cb5763f2f1b275ad2bf7a287d3f7ebbef35648a9726e3b69284a4f3d6"}, + {file = "multidict-6.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7053d3b0353a8b9de430a4f4b4268ac9a4fb3481af37dfe49825bf45ca24156"}, + {file = "multidict-6.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27e5fc84ccef8dfaabb09d82b7d179c7cf1a3fbc8a966f8274fcb4ab2eb4cadb"}, + {file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e2b90b43e696f25c62656389d32236e049568b39320e2735d51f08fd362761b"}, + {file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d83a047959d38a7ff552ff94be767b7fd79b831ad1cd9920662db05fec24fe72"}, + {file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d1a9dd711d0877a1ece3d2e4fea11a8e75741ca21954c919406b44e7cf971304"}, + {file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec2abea24d98246b94913b76a125e855eb5c434f7c46546046372fe60f666351"}, + {file = "multidict-6.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4867cafcbc6585e4b678876c489b9273b13e9fff9f6d6d66add5e15d11d926cb"}, + {file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:5b48204e8d955c47c55b72779802b219a39acc3ee3d0116d5080c388970b76e3"}, + {file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:d8fff389528cad1618fb4b26b95550327495462cd745d879a8c7c2115248e399"}, + {file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:a7a9541cd308eed5e30318430a9c74d2132e9a8cb46b901326272d780bf2d423"}, + {file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:da1758c76f50c39a2efd5e9859ce7d776317eb1dd34317c8152ac9251fc574a3"}, + {file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c943a53e9186688b45b323602298ab727d8865d8c9ee0b17f8d62d14b56f0753"}, + {file = "multidict-6.1.0-cp311-cp311-win32.whl", hash = "sha256:90f8717cb649eea3504091e640a1b8568faad18bd4b9fcd692853a04475a4b80"}, + {file = "multidict-6.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:82176036e65644a6cc5bd619f65f6f19781e8ec2e5330f51aa9ada7504cc1926"}, + {file = "multidict-6.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:b04772ed465fa3cc947db808fa306d79b43e896beb677a56fb2347ca1a49c1fa"}, + {file = "multidict-6.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6180c0ae073bddeb5a97a38c03f30c233e0a4d39cd86166251617d1bbd0af436"}, + {file = "multidict-6.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:071120490b47aa997cca00666923a83f02c7fbb44f71cf7f136df753f7fa8761"}, + {file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50b3a2710631848991d0bf7de077502e8994c804bb805aeb2925a981de58ec2e"}, + {file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b58c621844d55e71c1b7f7c498ce5aa6985d743a1a59034c57a905b3f153c1ef"}, + {file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55b6d90641869892caa9ca42ff913f7ff1c5ece06474fbd32fb2cf6834726c95"}, + {file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b820514bfc0b98a30e3d85462084779900347e4d49267f747ff54060cc33925"}, + {file = "multidict-6.1.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10a9b09aba0c5b48c53761b7c720aaaf7cf236d5fe394cd399c7ba662d5f9966"}, + {file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1e16bf3e5fc9f44632affb159d30a437bfe286ce9e02754759be5536b169b305"}, + {file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:76f364861c3bfc98cbbcbd402d83454ed9e01a5224bb3a28bf70002a230f73e2"}, + {file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:820c661588bd01a0aa62a1283f20d2be4281b086f80dad9e955e690c75fb54a2"}, + {file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:0e5f362e895bc5b9e67fe6e4ded2492d8124bdf817827f33c5b46c2fe3ffaca6"}, + {file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3ec660d19bbc671e3a6443325f07263be452c453ac9e512f5eb935e7d4ac28b3"}, + {file = "multidict-6.1.0-cp312-cp312-win32.whl", hash = "sha256:58130ecf8f7b8112cdb841486404f1282b9c86ccb30d3519faf301b2e5659133"}, + {file = "multidict-6.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:188215fc0aafb8e03341995e7c4797860181562380f81ed0a87ff455b70bf1f1"}, + {file = "multidict-6.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:d569388c381b24671589335a3be6e1d45546c2988c2ebe30fdcada8457a31008"}, + {file = "multidict-6.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:052e10d2d37810b99cc170b785945421141bf7bb7d2f8799d431e7db229c385f"}, + {file = "multidict-6.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f90c822a402cb865e396a504f9fc8173ef34212a342d92e362ca498cad308e28"}, + {file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b225d95519a5bf73860323e633a664b0d85ad3d5bede6d30d95b35d4dfe8805b"}, + {file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:23bfd518810af7de1116313ebd9092cb9aa629beb12f6ed631ad53356ed6b86c"}, + {file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c09fcfdccdd0b57867577b719c69e347a436b86cd83747f179dbf0cc0d4c1f3"}, + {file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf6bea52ec97e95560af5ae576bdac3aa3aae0b6758c6efa115236d9e07dae44"}, + {file = "multidict-6.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57feec87371dbb3520da6192213c7d6fc892d5589a93db548331954de8248fd2"}, + {file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0c3f390dc53279cbc8ba976e5f8035eab997829066756d811616b652b00a23a3"}, + {file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:59bfeae4b25ec05b34f1956eaa1cb38032282cd4dfabc5056d0a1ec4d696d3aa"}, + {file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:b2f59caeaf7632cc633b5cf6fc449372b83bbdf0da4ae04d5be36118e46cc0aa"}, + {file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:37bb93b2178e02b7b618893990941900fd25b6b9ac0fa49931a40aecdf083fe4"}, + {file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4e9f48f58c2c523d5a06faea47866cd35b32655c46b443f163d08c6d0ddb17d6"}, + {file = "multidict-6.1.0-cp313-cp313-win32.whl", hash = "sha256:3a37ffb35399029b45c6cc33640a92bef403c9fd388acce75cdc88f58bd19a81"}, + {file = "multidict-6.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:e9aa71e15d9d9beaad2c6b9319edcdc0a49a43ef5c0a4c8265ca9ee7d6c67774"}, + {file = "multidict-6.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:db7457bac39421addd0c8449933ac32d8042aae84a14911a757ae6ca3eef1392"}, + {file = "multidict-6.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d094ddec350a2fb899fec68d8353c78233debde9b7d8b4beeafa70825f1c281a"}, + {file = "multidict-6.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5845c1fd4866bb5dd3125d89b90e57ed3138241540897de748cdf19de8a2fca2"}, + {file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9079dfc6a70abe341f521f78405b8949f96db48da98aeb43f9907f342f627cdc"}, + {file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3914f5aaa0f36d5d60e8ece6a308ee1c9784cd75ec8151062614657a114c4478"}, + {file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c08be4f460903e5a9d0f76818db3250f12e9c344e79314d1d570fc69d7f4eae4"}, + {file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d093be959277cb7dee84b801eb1af388b6ad3ca6a6b6bf1ed7585895789d027d"}, + {file = "multidict-6.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3702ea6872c5a2a4eeefa6ffd36b042e9773f05b1f37ae3ef7264b1163c2dcf6"}, + {file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:2090f6a85cafc5b2db085124d752757c9d251548cedabe9bd31afe6363e0aff2"}, + {file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:f67f217af4b1ff66c68a87318012de788dd95fcfeb24cc889011f4e1c7454dfd"}, + {file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:189f652a87e876098bbc67b4da1049afb5f5dfbaa310dd67c594b01c10388db6"}, + {file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:6bb5992037f7a9eff7991ebe4273ea7f51f1c1c511e6a2ce511d0e7bdb754492"}, + {file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:ac10f4c2b9e770c4e393876e35a7046879d195cd123b4f116d299d442b335bcd"}, + {file = "multidict-6.1.0-cp38-cp38-win32.whl", hash = "sha256:e27bbb6d14416713a8bd7aaa1313c0fc8d44ee48d74497a0ff4c3a1b6ccb5167"}, + {file = "multidict-6.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:22f3105d4fb15c8f57ff3959a58fcab6ce36814486500cd7485651230ad4d4ef"}, + {file = "multidict-6.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:4e18b656c5e844539d506a0a06432274d7bd52a7487e6828c63a63d69185626c"}, + {file = "multidict-6.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a185f876e69897a6f3325c3f19f26a297fa058c5e456bfcff8015e9a27e83ae1"}, + {file = "multidict-6.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ab7c4ceb38d91570a650dba194e1ca87c2b543488fe9309b4212694174fd539c"}, + {file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e617fb6b0b6953fffd762669610c1c4ffd05632c138d61ac7e14ad187870669c"}, + {file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:16e5f4bf4e603eb1fdd5d8180f1a25f30056f22e55ce51fb3d6ad4ab29f7d96f"}, + {file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f4c035da3f544b1882bac24115f3e2e8760f10a0107614fc9839fd232200b875"}, + {file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:957cf8e4b6e123a9eea554fa7ebc85674674b713551de587eb318a2df3e00255"}, + {file = "multidict-6.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:483a6aea59cb89904e1ceabd2b47368b5600fb7de78a6e4a2c2987b2d256cf30"}, + {file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:87701f25a2352e5bf7454caa64757642734da9f6b11384c1f9d1a8e699758057"}, + {file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:682b987361e5fd7a139ed565e30d81fd81e9629acc7d925a205366877d8c8657"}, + {file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ce2186a7df133a9c895dea3331ddc5ddad42cdd0d1ea2f0a51e5d161e4762f28"}, + {file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:9f636b730f7e8cb19feb87094949ba54ee5357440b9658b2a32a5ce4bce53972"}, + {file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:73eae06aa53af2ea5270cc066dcaf02cc60d2994bbb2c4ef5764949257d10f43"}, + {file = "multidict-6.1.0-cp39-cp39-win32.whl", hash = "sha256:1ca0083e80e791cffc6efce7660ad24af66c8d4079d2a750b29001b53ff59ada"}, + {file = "multidict-6.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:aa466da5b15ccea564bdab9c89175c762bc12825f4659c11227f515cee76fa4a"}, + {file = "multidict-6.1.0-py3-none-any.whl", hash = "sha256:48e171e52d1c4d33888e529b999e5900356b9ae588c2f09a52dcefb158b27506"}, + {file = "multidict-6.1.0.tar.gz", hash = "sha256:22ae2ebf9b0c69d206c003e2f6a914ea33f0a932d4aa16f236afc049d9958f4a"}, +] + +[package.dependencies] +typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""} + +[[package]] +name = "multiprocess" +version = "0.70.17" +description = "better multiprocessing and multithreading in Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "multiprocess-0.70.17-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7ddb24e5bcdb64e90ec5543a1f05a39463068b6d3b804aa3f2a4e16ec28562d6"}, + {file = "multiprocess-0.70.17-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d729f55198a3579f6879766a6d9b72b42d4b320c0dcb7844afb774d75b573c62"}, + {file = "multiprocess-0.70.17-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c2c82d0375baed8d8dd0d8c38eb87c5ae9c471f8e384ad203a36f095ee860f67"}, + {file = "multiprocess-0.70.17-pp38-pypy38_pp73-macosx_10_9_arm64.whl", hash = "sha256:a22a6b1a482b80eab53078418bb0f7025e4f7d93cc8e1f36481477a023884861"}, + {file = "multiprocess-0.70.17-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:349525099a0c9ac5936f0488b5ee73199098dac3ac899d81d326d238f9fd3ccd"}, + {file = "multiprocess-0.70.17-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:27b8409c02b5dd89d336107c101dfbd1530a2cd4fd425fc27dcb7adb6e0b47bf"}, + {file = "multiprocess-0.70.17-pp39-pypy39_pp73-macosx_10_13_arm64.whl", hash = "sha256:2ea0939b0f4760a16a548942c65c76ff5afd81fbf1083c56ae75e21faf92e426"}, + {file = "multiprocess-0.70.17-pp39-pypy39_pp73-macosx_10_13_x86_64.whl", hash = "sha256:2b12e081df87ab755190e227341b2c3b17ee6587e9c82fecddcbe6aa812cd7f7"}, + {file = "multiprocess-0.70.17-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:a0f01cd9d079af7a8296f521dc03859d1a414d14c1e2b6e676ef789333421c95"}, + {file = "multiprocess-0.70.17-py310-none-any.whl", hash = "sha256:38357ca266b51a2e22841b755d9a91e4bb7b937979a54d411677111716c32744"}, + {file = "multiprocess-0.70.17-py311-none-any.whl", hash = "sha256:2884701445d0177aec5bd5f6ee0df296773e4fb65b11903b94c613fb46cfb7d1"}, + {file = "multiprocess-0.70.17-py312-none-any.whl", hash = "sha256:2818af14c52446b9617d1b0755fa70ca2f77c28b25ed97bdaa2c69a22c47b46c"}, + {file = "multiprocess-0.70.17-py313-none-any.whl", hash = "sha256:20c28ca19079a6c879258103a6d60b94d4ffe2d9da07dda93fb1c8bc6243f522"}, + {file = "multiprocess-0.70.17-py38-none-any.whl", hash = "sha256:1d52f068357acd1e5bbc670b273ef8f81d57863235d9fbf9314751886e141968"}, + {file = "multiprocess-0.70.17-py39-none-any.whl", hash = "sha256:c3feb874ba574fbccfb335980020c1ac631fbf2a3f7bee4e2042ede62558a021"}, + {file = "multiprocess-0.70.17.tar.gz", hash = "sha256:4ae2f11a3416809ebc9a48abfc8b14ecce0652a0944731a1493a3c1ba44ff57a"}, +] + +[package.dependencies] +dill = ">=0.3.9" + +[[package]] +name = "nltk" +version = "3.9.1" +description = "Natural Language Toolkit" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"}, + {file = "nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"}, +] + +[package.dependencies] +click = "*" +joblib = "*" +regex = ">=2021.8.3" +tqdm = "*" + +[package.extras] +all = ["matplotlib", "numpy", "pyparsing", "python-crfsuite", "requests", "scikit-learn", "scipy", "twython"] +corenlp = ["requests"] +machine-learning = ["numpy", "python-crfsuite", "scikit-learn", "scipy"] +plot = ["matplotlib"] +tgrep = ["pyparsing"] +twitter = ["twython"] + +[[package]] +name = "numpy" +version = "1.24.4" +description = "Fundamental package for array computing in Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"}, + {file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"}, + {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"}, + {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"}, + {file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"}, + {file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"}, + {file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"}, + {file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"}, + {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"}, + {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"}, + {file = "numpy-1.24.4-cp311-cp311-win32.whl", hash = "sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d"}, + {file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"}, + {file = "numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61"}, + {file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"}, + {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"}, + {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"}, + {file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"}, + {file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"}, + {file = "numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400"}, + {file = "numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f"}, + {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9"}, + {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d"}, + {file = "numpy-1.24.4-cp39-cp39-win32.whl", hash = "sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835"}, + {file = "numpy-1.24.4-cp39-cp39-win_amd64.whl", hash = "sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8"}, + {file = "numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef"}, + {file = "numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a"}, + {file = "numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2"}, + {file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"}, +] + +[[package]] +name = "ollama" +version = "0.2.1" +description = "The official Python client for Ollama." +optional = false +python-versions = "<4.0,>=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "ollama-0.2.1-py3-none-any.whl", hash = "sha256:b6e2414921c94f573a903d1069d682ba2fb2607070ea9e19ca4a7872f2a460ec"}, + {file = "ollama-0.2.1.tar.gz", hash = "sha256:fa316baa9a81eac3beb4affb0a17deb3008fdd6ed05b123c26306cfbe4c349b6"}, +] + +[package.dependencies] +httpx = ">=0.27.0,<0.28.0" + +[[package]] +name = "openai" +version = "1.47.1" +description = "The official Python library for the openai API" +optional = false +python-versions = ">=3.7.1" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "openai-1.47.1-py3-none-any.whl", hash = "sha256:34277583bf268bb2494bc03f48ac123788c5e2a914db1d5a23d5edc29d35c825"}, + {file = "openai-1.47.1.tar.gz", hash = "sha256:62c8f5f478f82ffafc93b33040f8bb16a45948306198bd0cba2da2ecd9cf7323"}, +] + +[package.dependencies] +anyio = ">=3.5.0,<5" +distro = ">=1.7.0,<2" +httpx = ">=0.23.0,<1" +jiter = ">=0.4.0,<1" +pydantic = ">=1.9.0,<3" +sniffio = "*" +tqdm = ">4" +typing-extensions = ">=4.11,<5" + +[package.extras] +datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"] + +[[package]] +name = "openpyxl" +version = "3.1.5" +description = "A Python library to read/write Excel 2010 xlsx/xlsm files" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2"}, + {file = "openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050"}, +] + +[package.dependencies] +et-xmlfile = "*" + +[[package]] +name = "orjson" +version = "3.10.14" +description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "orjson-3.10.14-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:849ea7845a55f09965826e816cdc7689d6cf74fe9223d79d758c714af955bcb6"}, + {file = "orjson-3.10.14-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b5947b139dfa33f72eecc63f17e45230a97e741942955a6c9e650069305eb73d"}, + {file = "orjson-3.10.14-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cde6d76910d3179dae70f164466692f4ea36da124d6fb1a61399ca589e81d69a"}, + {file = "orjson-3.10.14-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c6dfbaeb7afa77ca608a50e2770a0461177b63a99520d4928e27591b142c74b1"}, + {file = "orjson-3.10.14-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fa45e489ef80f28ff0e5ba0a72812b8cfc7c1ef8b46a694723807d1b07c89ebb"}, + {file = "orjson-3.10.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f5007abfdbb1d866e2aa8990bd1c465f0f6da71d19e695fc278282be12cffa5"}, + {file = "orjson-3.10.14-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1b49e2af011c84c3f2d541bb5cd1e3c7c2df672223e7e3ea608f09cf295e5f8a"}, + {file = "orjson-3.10.14-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:164ac155109226b3a2606ee6dda899ccfbe6e7e18b5bdc3fbc00f79cc074157d"}, + {file = "orjson-3.10.14-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:6b1225024cf0ef5d15934b5ffe9baf860fe8bc68a796513f5ea4f5056de30bca"}, + {file = "orjson-3.10.14-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:d6546e8073dc382e60fcae4a001a5a1bc46da5eab4a4878acc2d12072d6166d5"}, + {file = "orjson-3.10.14-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9f1d2942605c894162252d6259b0121bf1cb493071a1ea8cb35d79cb3e6ac5bc"}, + {file = "orjson-3.10.14-cp310-cp310-win32.whl", hash = "sha256:397083806abd51cf2b3bbbf6c347575374d160331a2d33c5823e22249ad3118b"}, + {file = "orjson-3.10.14-cp310-cp310-win_amd64.whl", hash = "sha256:fa18f949d3183a8d468367056be989666ac2bef3a72eece0bade9cdb733b3c28"}, + {file = "orjson-3.10.14-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:f506fd666dd1ecd15a832bebc66c4df45c1902fd47526292836c339f7ba665a9"}, + {file = "orjson-3.10.14-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efe5fd254cfb0eeee13b8ef7ecb20f5d5a56ddda8a587f3852ab2cedfefdb5f6"}, + {file = "orjson-3.10.14-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4ddc8c866d7467f5ee2991397d2ea94bcf60d0048bdd8ca555740b56f9042725"}, + {file = "orjson-3.10.14-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3af8e42ae4363773658b8d578d56dedffb4f05ceeb4d1d4dd3fb504950b45526"}, + {file = "orjson-3.10.14-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:84dd83110503bc10e94322bf3ffab8bc49150176b49b4984dc1cce4c0a993bf9"}, + {file = "orjson-3.10.14-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36f5bfc0399cd4811bf10ec7a759c7ab0cd18080956af8ee138097d5b5296a95"}, + {file = "orjson-3.10.14-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:868943660fb2a1e6b6b965b74430c16a79320b665b28dd4511d15ad5038d37d5"}, + {file = "orjson-3.10.14-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:33449c67195969b1a677533dee9d76e006001213a24501333624623e13c7cc8e"}, + {file = "orjson-3.10.14-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:e4c9f60f9fb0b5be66e416dcd8c9d94c3eabff3801d875bdb1f8ffc12cf86905"}, + {file = "orjson-3.10.14-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:0de4d6315cfdbd9ec803b945c23b3a68207fd47cbe43626036d97e8e9561a436"}, + {file = "orjson-3.10.14-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:83adda3db595cb1a7e2237029b3249c85afbe5c747d26b41b802e7482cb3933e"}, + {file = "orjson-3.10.14-cp311-cp311-win32.whl", hash = "sha256:998019ef74a4997a9d741b1473533cdb8faa31373afc9849b35129b4b8ec048d"}, + {file = "orjson-3.10.14-cp311-cp311-win_amd64.whl", hash = "sha256:9d034abdd36f0f0f2240f91492684e5043d46f290525d1117712d5b8137784eb"}, + {file = "orjson-3.10.14-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:2ad4b7e367efba6dc3f119c9a0fcd41908b7ec0399a696f3cdea7ec477441b09"}, + {file = "orjson-3.10.14-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f496286fc85e93ce0f71cc84fc1c42de2decf1bf494094e188e27a53694777a7"}, + {file = "orjson-3.10.14-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c7f189bbfcded40e41a6969c1068ba305850ba016665be71a217918931416fbf"}, + {file = "orjson-3.10.14-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8cc8204f0b75606869c707da331058ddf085de29558b516fc43c73ee5ee2aadb"}, + {file = "orjson-3.10.14-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:deaa2899dff7f03ab667e2ec25842d233e2a6a9e333efa484dfe666403f3501c"}, + {file = "orjson-3.10.14-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f1c3ea52642c9714dc6e56de8a451a066f6d2707d273e07fe8a9cc1ba073813d"}, + {file = "orjson-3.10.14-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9d3f9ed72e7458ded9a1fb1b4d4ed4c4fdbaf82030ce3f9274b4dc1bff7ace2b"}, + {file = "orjson-3.10.14-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:07520685d408a2aba514c17ccc16199ff2934f9f9e28501e676c557f454a37fe"}, + {file = "orjson-3.10.14-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:76344269b550ea01488d19a2a369ab572c1ac4449a72e9f6ac0d70eb1cbfb953"}, + {file = "orjson-3.10.14-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e2979d0f2959990620f7e62da6cd954e4620ee815539bc57a8ae46e2dacf90e3"}, + {file = "orjson-3.10.14-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:03f61ca3674555adcb1aa717b9fc87ae936aa7a63f6aba90a474a88701278780"}, + {file = "orjson-3.10.14-cp312-cp312-win32.whl", hash = "sha256:d5075c54edf1d6ad81d4c6523ce54a748ba1208b542e54b97d8a882ecd810fd1"}, + {file = "orjson-3.10.14-cp312-cp312-win_amd64.whl", hash = "sha256:175cafd322e458603e8ce73510a068d16b6e6f389c13f69bf16de0e843d7d406"}, + {file = "orjson-3.10.14-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:0905ca08a10f7e0e0c97d11359609300eb1437490a7f32bbaa349de757e2e0c7"}, + {file = "orjson-3.10.14-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92d13292249f9f2a3e418cbc307a9fbbef043c65f4bd8ba1eb620bc2aaba3d15"}, + {file = "orjson-3.10.14-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90937664e776ad316d64251e2fa2ad69265e4443067668e4727074fe39676414"}, + {file = "orjson-3.10.14-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:9ed3d26c4cb4f6babaf791aa46a029265850e80ec2a566581f5c2ee1a14df4f1"}, + {file = "orjson-3.10.14-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:56ee546c2bbe9599aba78169f99d1dc33301853e897dbaf642d654248280dc6e"}, + {file = "orjson-3.10.14-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:901e826cb2f1bdc1fcef3ef59adf0c451e8f7c0b5deb26c1a933fb66fb505eae"}, + {file = "orjson-3.10.14-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:26336c0d4b2d44636e1e1e6ed1002f03c6aae4a8a9329561c8883f135e9ff010"}, + {file = "orjson-3.10.14-cp313-cp313-win32.whl", hash = "sha256:e2bc525e335a8545c4e48f84dd0328bc46158c9aaeb8a1c2276546e94540ea3d"}, + {file = "orjson-3.10.14-cp313-cp313-win_amd64.whl", hash = "sha256:eca04dfd792cedad53dc9a917da1a522486255360cb4e77619343a20d9f35364"}, + {file = "orjson-3.10.14-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9a0fba3b8a587a54c18585f077dcab6dd251c170d85cfa4d063d5746cd595a0f"}, + {file = "orjson-3.10.14-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:175abf3d20e737fec47261d278f95031736a49d7832a09ab684026528c4d96db"}, + {file = "orjson-3.10.14-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:29ca1a93e035d570e8b791b6c0feddd403c6a5388bfe870bf2aa6bba1b9d9b8e"}, + {file = "orjson-3.10.14-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f77202c80e8ab5a1d1e9faf642343bee5aaf332061e1ada4e9147dbd9eb00c46"}, + {file = "orjson-3.10.14-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6e2ec73b7099b6a29b40a62e08a23b936423bd35529f8f55c42e27acccde7954"}, + {file = "orjson-3.10.14-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2d1679df9f9cd9504f8dff24555c1eaabba8aad7f5914f28dab99e3c2552c9d"}, + {file = "orjson-3.10.14-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:691ab9a13834310a263664313e4f747ceb93662d14a8bdf20eb97d27ed488f16"}, + {file = "orjson-3.10.14-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:b11ed82054fce82fb74cea33247d825d05ad6a4015ecfc02af5fbce442fbf361"}, + {file = "orjson-3.10.14-cp38-cp38-musllinux_1_2_armv7l.whl", hash = "sha256:e70a1d62b8288677d48f3bea66c21586a5f999c64ecd3878edb7393e8d1b548d"}, + {file = "orjson-3.10.14-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:16642f10c1ca5611251bd835de9914a4b03095e28a34c8ba6a5500b5074338bd"}, + {file = "orjson-3.10.14-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:3871bad546aa66c155e3f36f99c459780c2a392d502a64e23fb96d9abf338511"}, + {file = "orjson-3.10.14-cp38-cp38-win32.whl", hash = "sha256:0293a88815e9bb5c90af4045f81ed364d982f955d12052d989d844d6c4e50945"}, + {file = "orjson-3.10.14-cp38-cp38-win_amd64.whl", hash = "sha256:6169d3868b190d6b21adc8e61f64e3db30f50559dfbdef34a1cd6c738d409dfc"}, + {file = "orjson-3.10.14-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:06d4ec218b1ec1467d8d64da4e123b4794c781b536203c309ca0f52819a16c03"}, + {file = "orjson-3.10.14-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:962c2ec0dcaf22b76dee9831fdf0c4a33d4bf9a257a2bc5d4adc00d5c8ad9034"}, + {file = "orjson-3.10.14-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:21d3be4132f71ef1360385770474f29ea1538a242eef72ac4934fe142800e37f"}, + {file = "orjson-3.10.14-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c28ed60597c149a9e3f5ad6dd9cebaee6fb2f0e3f2d159a4a2b9b862d4748860"}, + {file = "orjson-3.10.14-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7e947f70167fe18469f2023644e91ab3d24f9aed69a5e1c78e2c81b9cea553fb"}, + {file = "orjson-3.10.14-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64410696c97a35af2432dea7bdc4ce32416458159430ef1b4beb79fd30093ad6"}, + {file = "orjson-3.10.14-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8050a5d81c022561ee29cd2739de5b4445f3c72f39423fde80a63299c1892c52"}, + {file = "orjson-3.10.14-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:b49a28e30d3eca86db3fe6f9b7f4152fcacbb4a467953cd1b42b94b479b77956"}, + {file = "orjson-3.10.14-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:ca041ad20291a65d853a9523744eebc3f5a4b2f7634e99f8fe88320695ddf766"}, + {file = "orjson-3.10.14-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:d313a2998b74bb26e9e371851a173a9b9474764916f1fc7971095699b3c6e964"}, + {file = "orjson-3.10.14-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:7796692136a67b3e301ef9052bde6fe8e7bd5200da766811a3a608ffa62aaff0"}, + {file = "orjson-3.10.14-cp39-cp39-win32.whl", hash = "sha256:eee4bc767f348fba485ed9dc576ca58b0a9eac237f0e160f7a59bce628ed06b3"}, + {file = "orjson-3.10.14-cp39-cp39-win_amd64.whl", hash = "sha256:96a1c0ee30fb113b3ae3c748fd75ca74a157ff4c58476c47db4d61518962a011"}, + {file = "orjson-3.10.14.tar.gz", hash = "sha256:cf31f6f071a6b8e7aa1ead1fa27b935b48d00fbfa6a28ce856cfff2d5dd68eed"}, +] + +[[package]] +name = "packaging" +version = "24.2" +description = "Core utilities for Python packages" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"}, + {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"}, +] + +[[package]] +name = "pandas" +version = "2.2.1" +description = "Powerful data structures for data analysis, time series, and statistics" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pandas-2.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8df8612be9cd1c7797c93e1c5df861b2ddda0b48b08f2c3eaa0702cf88fb5f88"}, + {file = "pandas-2.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0f573ab277252ed9aaf38240f3b54cfc90fff8e5cab70411ee1d03f5d51f3944"}, + {file = "pandas-2.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f02a3a6c83df4026e55b63c1f06476c9aa3ed6af3d89b4f04ea656ccdaaaa359"}, + {file = "pandas-2.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c38ce92cb22a4bea4e3929429aa1067a454dcc9c335799af93ba9be21b6beb51"}, + {file = "pandas-2.2.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c2ce852e1cf2509a69e98358e8458775f89599566ac3775e70419b98615f4b06"}, + {file = "pandas-2.2.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:53680dc9b2519cbf609c62db3ed7c0b499077c7fefda564e330286e619ff0dd9"}, + {file = "pandas-2.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:94e714a1cca63e4f5939cdce5f29ba8d415d85166be3441165edd427dc9f6bc0"}, + {file = "pandas-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f821213d48f4ab353d20ebc24e4faf94ba40d76680642fb7ce2ea31a3ad94f9b"}, + {file = "pandas-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c70e00c2d894cb230e5c15e4b1e1e6b2b478e09cf27cc593a11ef955b9ecc81a"}, + {file = "pandas-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e97fbb5387c69209f134893abc788a6486dbf2f9e511070ca05eed4b930b1b02"}, + {file = "pandas-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:101d0eb9c5361aa0146f500773395a03839a5e6ecde4d4b6ced88b7e5a1a6403"}, + {file = "pandas-2.2.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:7d2ed41c319c9fb4fd454fe25372028dfa417aacb9790f68171b2e3f06eae8cd"}, + {file = "pandas-2.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:af5d3c00557d657c8773ef9ee702c61dd13b9d7426794c9dfeb1dc4a0bf0ebc7"}, + {file = "pandas-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:06cf591dbaefb6da9de8472535b185cba556d0ce2e6ed28e21d919704fef1a9e"}, + {file = "pandas-2.2.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:88ecb5c01bb9ca927ebc4098136038519aa5d66b44671861ffab754cae75102c"}, + {file = "pandas-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:04f6ec3baec203c13e3f8b139fb0f9f86cd8c0b94603ae3ae8ce9a422e9f5bee"}, + {file = "pandas-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a935a90a76c44fe170d01e90a3594beef9e9a6220021acfb26053d01426f7dc2"}, + {file = "pandas-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c391f594aae2fd9f679d419e9a4d5ba4bce5bb13f6a989195656e7dc4b95c8f0"}, + {file = "pandas-2.2.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9d1265545f579edf3f8f0cb6f89f234f5e44ba725a34d86535b1a1d38decbccc"}, + {file = "pandas-2.2.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:11940e9e3056576ac3244baef2fedade891977bcc1cb7e5cc8f8cc7d603edc89"}, + {file = "pandas-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:4acf681325ee1c7f950d058b05a820441075b0dd9a2adf5c4835b9bc056bf4fb"}, + {file = "pandas-2.2.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9bd8a40f47080825af4317d0340c656744f2bfdb6819f818e6ba3cd24c0e1397"}, + {file = "pandas-2.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:df0c37ebd19e11d089ceba66eba59a168242fc6b7155cba4ffffa6eccdfb8f16"}, + {file = "pandas-2.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:739cc70eaf17d57608639e74d63387b0d8594ce02f69e7a0b046f117974b3019"}, + {file = "pandas-2.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9d3558d263073ed95e46f4650becff0c5e1ffe0fc3a015de3c79283dfbdb3df"}, + {file = "pandas-2.2.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:4aa1d8707812a658debf03824016bf5ea0d516afdea29b7dc14cf687bc4d4ec6"}, + {file = "pandas-2.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:76f27a809cda87e07f192f001d11adc2b930e93a2b0c4a236fde5429527423be"}, + {file = "pandas-2.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:1ba21b1d5c0e43416218db63037dbe1a01fc101dc6e6024bcad08123e48004ab"}, + {file = "pandas-2.2.1.tar.gz", hash = "sha256:0ab90f87093c13f3e8fa45b48ba9f39181046e8f3317d3aadb2fffbb1b978572"}, +] + +[package.dependencies] +numpy = [ + {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""}, + {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""}, +] +python-dateutil = ">=2.8.2" +pytz = ">=2020.1" +tzdata = ">=2022.7" + +[package.extras] +all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"] +aws = ["s3fs (>=2022.11.0)"] +clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"] +compression = ["zstandard (>=0.19.0)"] +computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"] +consortium-standard = ["dataframe-api-compat (>=0.1.7)"] +excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"] +feather = ["pyarrow (>=10.0.1)"] +fss = ["fsspec (>=2022.11.0)"] +gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"] +hdf5 = ["tables (>=3.8.0)"] +html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"] +mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"] +output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"] +parquet = ["pyarrow (>=10.0.1)"] +performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"] +plot = ["matplotlib (>=3.6.3)"] +postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"] +pyarrow = ["pyarrow (>=10.0.1)"] +spss = ["pyreadstat (>=1.2.0)"] +sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"] +test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] +xml = ["lxml (>=4.9.2)"] + +[[package]] +name = "pillow" +version = "11.1.0" +description = "Python Imaging Library (Fork)" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pillow-11.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:e1abe69aca89514737465752b4bcaf8016de61b3be1397a8fc260ba33321b3a8"}, + {file = "pillow-11.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c640e5a06869c75994624551f45e5506e4256562ead981cce820d5ab39ae2192"}, + {file = "pillow-11.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a07dba04c5e22824816b2615ad7a7484432d7f540e6fa86af60d2de57b0fcee2"}, + {file = "pillow-11.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e267b0ed063341f3e60acd25c05200df4193e15a4a5807075cd71225a2386e26"}, + {file = "pillow-11.1.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:bd165131fd51697e22421d0e467997ad31621b74bfc0b75956608cb2906dda07"}, + {file = "pillow-11.1.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:abc56501c3fd148d60659aae0af6ddc149660469082859fa7b066a298bde9482"}, + {file = "pillow-11.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:54ce1c9a16a9561b6d6d8cb30089ab1e5eb66918cb47d457bd996ef34182922e"}, + {file = "pillow-11.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:73ddde795ee9b06257dac5ad42fcb07f3b9b813f8c1f7f870f402f4dc54b5269"}, + {file = "pillow-11.1.0-cp310-cp310-win32.whl", hash = "sha256:3a5fe20a7b66e8135d7fd617b13272626a28278d0e578c98720d9ba4b2439d49"}, + {file = "pillow-11.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:b6123aa4a59d75f06e9dd3dac5bf8bc9aa383121bb3dd9a7a612e05eabc9961a"}, + {file = "pillow-11.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:a76da0a31da6fcae4210aa94fd779c65c75786bc9af06289cd1c184451ef7a65"}, + {file = "pillow-11.1.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:e06695e0326d05b06833b40b7ef477e475d0b1ba3a6d27da1bb48c23209bf457"}, + {file = "pillow-11.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:96f82000e12f23e4f29346e42702b6ed9a2f2fea34a740dd5ffffcc8c539eb35"}, + {file = "pillow-11.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a3cd561ded2cf2bbae44d4605837221b987c216cff94f49dfeed63488bb228d2"}, + {file = "pillow-11.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f189805c8be5ca5add39e6f899e6ce2ed824e65fb45f3c28cb2841911da19070"}, + {file = "pillow-11.1.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:dd0052e9db3474df30433f83a71b9b23bd9e4ef1de13d92df21a52c0303b8ab6"}, + {file = "pillow-11.1.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:837060a8599b8f5d402e97197d4924f05a2e0d68756998345c829c33186217b1"}, + {file = "pillow-11.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:aa8dd43daa836b9a8128dbe7d923423e5ad86f50a7a14dc688194b7be5c0dea2"}, + {file = "pillow-11.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0a2f91f8a8b367e7a57c6e91cd25af510168091fb89ec5146003e424e1558a96"}, + {file = "pillow-11.1.0-cp311-cp311-win32.whl", hash = "sha256:c12fc111ef090845de2bb15009372175d76ac99969bdf31e2ce9b42e4b8cd88f"}, + {file = "pillow-11.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:fbd43429d0d7ed6533b25fc993861b8fd512c42d04514a0dd6337fb3ccf22761"}, + {file = "pillow-11.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:f7955ecf5609dee9442cbface754f2c6e541d9e6eda87fad7f7a989b0bdb9d71"}, + {file = "pillow-11.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:2062ffb1d36544d42fcaa277b069c88b01bb7298f4efa06731a7fd6cc290b81a"}, + {file = "pillow-11.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a85b653980faad27e88b141348707ceeef8a1186f75ecc600c395dcac19f385b"}, + {file = "pillow-11.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9409c080586d1f683df3f184f20e36fb647f2e0bc3988094d4fd8c9f4eb1b3b3"}, + {file = "pillow-11.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7fdadc077553621911f27ce206ffcbec7d3f8d7b50e0da39f10997e8e2bb7f6a"}, + {file = "pillow-11.1.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:93a18841d09bcdd774dcdc308e4537e1f867b3dec059c131fde0327899734aa1"}, + {file = "pillow-11.1.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:9aa9aeddeed452b2f616ff5507459e7bab436916ccb10961c4a382cd3e03f47f"}, + {file = "pillow-11.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3cdcdb0b896e981678eee140d882b70092dac83ac1cdf6b3a60e2216a73f2b91"}, + {file = "pillow-11.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:36ba10b9cb413e7c7dfa3e189aba252deee0602c86c309799da5a74009ac7a1c"}, + {file = "pillow-11.1.0-cp312-cp312-win32.whl", hash = "sha256:cfd5cd998c2e36a862d0e27b2df63237e67273f2fc78f47445b14e73a810e7e6"}, + {file = "pillow-11.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:a697cd8ba0383bba3d2d3ada02b34ed268cb548b369943cd349007730c92bddf"}, + {file = "pillow-11.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:4dd43a78897793f60766563969442020e90eb7847463eca901e41ba186a7d4a5"}, + {file = "pillow-11.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:ae98e14432d458fc3de11a77ccb3ae65ddce70f730e7c76140653048c71bfcbc"}, + {file = "pillow-11.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:cc1331b6d5a6e144aeb5e626f4375f5b7ae9934ba620c0ac6b3e43d5e683a0f0"}, + {file = "pillow-11.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:758e9d4ef15d3560214cddbc97b8ef3ef86ce04d62ddac17ad39ba87e89bd3b1"}, + {file = "pillow-11.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b523466b1a31d0dcef7c5be1f20b942919b62fd6e9a9be199d035509cbefc0ec"}, + {file = "pillow-11.1.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:9044b5e4f7083f209c4e35aa5dd54b1dd5b112b108648f5c902ad586d4f945c5"}, + {file = "pillow-11.1.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:3764d53e09cdedd91bee65c2527815d315c6b90d7b8b79759cc48d7bf5d4f114"}, + {file = "pillow-11.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:31eba6bbdd27dde97b0174ddf0297d7a9c3a507a8a1480e1e60ef914fe23d352"}, + {file = "pillow-11.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b5d658fbd9f0d6eea113aea286b21d3cd4d3fd978157cbf2447a6035916506d3"}, + {file = "pillow-11.1.0-cp313-cp313-win32.whl", hash = "sha256:f86d3a7a9af5d826744fabf4afd15b9dfef44fe69a98541f666f66fbb8d3fef9"}, + {file = "pillow-11.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:593c5fd6be85da83656b93ffcccc2312d2d149d251e98588b14fbc288fd8909c"}, + {file = "pillow-11.1.0-cp313-cp313-win_arm64.whl", hash = "sha256:11633d58b6ee5733bde153a8dafd25e505ea3d32e261accd388827ee987baf65"}, + {file = "pillow-11.1.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:70ca5ef3b3b1c4a0812b5c63c57c23b63e53bc38e758b37a951e5bc466449861"}, + {file = "pillow-11.1.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:8000376f139d4d38d6851eb149b321a52bb8893a88dae8ee7d95840431977081"}, + {file = "pillow-11.1.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ee85f0696a17dd28fbcfceb59f9510aa71934b483d1f5601d1030c3c8304f3c"}, + {file = "pillow-11.1.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:dd0e081319328928531df7a0e63621caf67652c8464303fd102141b785ef9547"}, + {file = "pillow-11.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e63e4e5081de46517099dc30abe418122f54531a6ae2ebc8680bcd7096860eab"}, + {file = "pillow-11.1.0-cp313-cp313t-win32.whl", hash = "sha256:dda60aa465b861324e65a78c9f5cf0f4bc713e4309f83bc387be158b077963d9"}, + {file = "pillow-11.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ad5db5781c774ab9a9b2c4302bbf0c1014960a0a7be63278d13ae6fdf88126fe"}, + {file = "pillow-11.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:67cd427c68926108778a9005f2a04adbd5e67c442ed21d95389fe1d595458756"}, + {file = "pillow-11.1.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:bf902d7413c82a1bfa08b06a070876132a5ae6b2388e2712aab3a7cbc02205c6"}, + {file = "pillow-11.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c1eec9d950b6fe688edee07138993e54ee4ae634c51443cfb7c1e7613322718e"}, + {file = "pillow-11.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e275ee4cb11c262bd108ab2081f750db2a1c0b8c12c1897f27b160c8bd57bbc"}, + {file = "pillow-11.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4db853948ce4e718f2fc775b75c37ba2efb6aaea41a1a5fc57f0af59eee774b2"}, + {file = "pillow-11.1.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:ab8a209b8485d3db694fa97a896d96dd6533d63c22829043fd9de627060beade"}, + {file = "pillow-11.1.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:54251ef02a2309b5eec99d151ebf5c9904b77976c8abdcbce7891ed22df53884"}, + {file = "pillow-11.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5bb94705aea800051a743aa4874bb1397d4695fb0583ba5e425ee0328757f196"}, + {file = "pillow-11.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89dbdb3e6e9594d512780a5a1c42801879628b38e3efc7038094430844e271d8"}, + {file = "pillow-11.1.0-cp39-cp39-win32.whl", hash = "sha256:e5449ca63da169a2e6068dd0e2fcc8d91f9558aba89ff6d02121ca8ab11e79e5"}, + {file = "pillow-11.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:3362c6ca227e65c54bf71a5f88b3d4565ff1bcbc63ae72c34b07bbb1cc59a43f"}, + {file = "pillow-11.1.0-cp39-cp39-win_arm64.whl", hash = "sha256:b20be51b37a75cc54c2c55def3fa2c65bb94ba859dde241cd0a4fd302de5ae0a"}, + {file = "pillow-11.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:8c730dc3a83e5ac137fbc92dfcfe1511ce3b2b5d7578315b63dbbb76f7f51d90"}, + {file = "pillow-11.1.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:7d33d2fae0e8b170b6a6c57400e077412240f6f5bb2a342cf1ee512a787942bb"}, + {file = "pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a8d65b38173085f24bc07f8b6c505cbb7418009fa1a1fcb111b1f4961814a442"}, + {file = "pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:015c6e863faa4779251436db398ae75051469f7c903b043a48f078e437656f83"}, + {file = "pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d44ff19eea13ae4acdaaab0179fa68c0c6f2f45d66a4d8ec1eda7d6cecbcc15f"}, + {file = "pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d3d8da4a631471dfaf94c10c85f5277b1f8e42ac42bade1ac67da4b4a7359b73"}, + {file = "pillow-11.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4637b88343166249fe8aa94e7c4a62a180c4b3898283bb5d3d2fd5fe10d8e4e0"}, + {file = "pillow-11.1.0.tar.gz", hash = "sha256:368da70808b36d73b4b390a8ffac11069f8a5c85f29eff1f1b01bcf3ef5b2a20"}, +] + +[package.extras] +docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"] +fpx = ["olefile"] +mic = ["olefile"] +tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"] +typing = ["typing-extensions"] +xmp = ["defusedxml"] + +[[package]] +name = "prompt-toolkit" +version = "3.0.48" +description = "Library for building powerful interactive command lines in Python" +optional = false +python-versions = ">=3.7.0" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "prompt_toolkit-3.0.48-py3-none-any.whl", hash = "sha256:f49a827f90062e411f1ce1f854f2aedb3c23353244f8108b89283587397ac10e"}, + {file = "prompt_toolkit-3.0.48.tar.gz", hash = "sha256:d6623ab0477a80df74e646bdbc93621143f5caf104206aa29294d53de1a03d90"}, +] + +[package.dependencies] +wcwidth = "*" + +[[package]] +name = "propcache" +version = "0.2.1" +description = "Accelerated property cache" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "propcache-0.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:6b3f39a85d671436ee3d12c017f8fdea38509e4f25b28eb25877293c98c243f6"}, + {file = "propcache-0.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:39d51fbe4285d5db5d92a929e3e21536ea3dd43732c5b177c7ef03f918dff9f2"}, + {file = "propcache-0.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6445804cf4ec763dc70de65a3b0d9954e868609e83850a47ca4f0cb64bd79fea"}, + {file = "propcache-0.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f9479aa06a793c5aeba49ce5c5692ffb51fcd9a7016e017d555d5e2b0045d212"}, + {file = "propcache-0.2.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d9631c5e8b5b3a0fda99cb0d29c18133bca1e18aea9effe55adb3da1adef80d3"}, + {file = "propcache-0.2.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3156628250f46a0895f1f36e1d4fbe062a1af8718ec3ebeb746f1d23f0c5dc4d"}, + {file = "propcache-0.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b6fb63ae352e13748289f04f37868099e69dba4c2b3e271c46061e82c745634"}, + {file = "propcache-0.2.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:887d9b0a65404929641a9fabb6452b07fe4572b269d901d622d8a34a4e9043b2"}, + {file = "propcache-0.2.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a96dc1fa45bd8c407a0af03b2d5218392729e1822b0c32e62c5bf7eeb5fb3958"}, + {file = "propcache-0.2.1-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:a7e65eb5c003a303b94aa2c3852ef130230ec79e349632d030e9571b87c4698c"}, + {file = "propcache-0.2.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:999779addc413181912e984b942fbcc951be1f5b3663cd80b2687758f434c583"}, + {file = "propcache-0.2.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:19a0f89a7bb9d8048d9c4370c9c543c396e894c76be5525f5e1ad287f1750ddf"}, + {file = "propcache-0.2.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:1ac2f5fe02fa75f56e1ad473f1175e11f475606ec9bd0be2e78e4734ad575034"}, + {file = "propcache-0.2.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:574faa3b79e8ebac7cb1d7930f51184ba1ccf69adfdec53a12f319a06030a68b"}, + {file = "propcache-0.2.1-cp310-cp310-win32.whl", hash = "sha256:03ff9d3f665769b2a85e6157ac8b439644f2d7fd17615a82fa55739bc97863f4"}, + {file = "propcache-0.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:2d3af2e79991102678f53e0dbf4c35de99b6b8b58f29a27ca0325816364caaba"}, + {file = "propcache-0.2.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:1ffc3cca89bb438fb9c95c13fc874012f7b9466b89328c3c8b1aa93cdcfadd16"}, + {file = "propcache-0.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f174bbd484294ed9fdf09437f889f95807e5f229d5d93588d34e92106fbf6717"}, + {file = "propcache-0.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:70693319e0b8fd35dd863e3e29513875eb15c51945bf32519ef52927ca883bc3"}, + {file = "propcache-0.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b480c6a4e1138e1aa137c0079b9b6305ec6dcc1098a8ca5196283e8a49df95a9"}, + {file = "propcache-0.2.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d27b84d5880f6d8aa9ae3edb253c59d9f6642ffbb2c889b78b60361eed449787"}, + {file = "propcache-0.2.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:857112b22acd417c40fa4595db2fe28ab900c8c5fe4670c7989b1c0230955465"}, + {file = "propcache-0.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf6c4150f8c0e32d241436526f3c3f9cbd34429492abddbada2ffcff506c51af"}, + {file = "propcache-0.2.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:66d4cfda1d8ed687daa4bc0274fcfd5267873db9a5bc0418c2da19273040eeb7"}, + {file = "propcache-0.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c2f992c07c0fca81655066705beae35fc95a2fa7366467366db627d9f2ee097f"}, + {file = "propcache-0.2.1-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:4a571d97dbe66ef38e472703067021b1467025ec85707d57e78711c085984e54"}, + {file = "propcache-0.2.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:bb6178c241278d5fe853b3de743087be7f5f4c6f7d6d22a3b524d323eecec505"}, + {file = "propcache-0.2.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:ad1af54a62ffe39cf34db1aa6ed1a1873bd548f6401db39d8e7cd060b9211f82"}, + {file = "propcache-0.2.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:e7048abd75fe40712005bcfc06bb44b9dfcd8e101dda2ecf2f5aa46115ad07ca"}, + {file = "propcache-0.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:160291c60081f23ee43d44b08a7e5fb76681221a8e10b3139618c5a9a291b84e"}, + {file = "propcache-0.2.1-cp311-cp311-win32.whl", hash = "sha256:819ce3b883b7576ca28da3861c7e1a88afd08cc8c96908e08a3f4dd64a228034"}, + {file = "propcache-0.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:edc9fc7051e3350643ad929df55c451899bb9ae6d24998a949d2e4c87fb596d3"}, + {file = "propcache-0.2.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:081a430aa8d5e8876c6909b67bd2d937bfd531b0382d3fdedb82612c618bc41a"}, + {file = "propcache-0.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d2ccec9ac47cf4e04897619c0e0c1a48c54a71bdf045117d3a26f80d38ab1fb0"}, + {file = "propcache-0.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:14d86fe14b7e04fa306e0c43cdbeebe6b2c2156a0c9ce56b815faacc193e320d"}, + {file = "propcache-0.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:049324ee97bb67285b49632132db351b41e77833678432be52bdd0289c0e05e4"}, + {file = "propcache-0.2.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1cd9a1d071158de1cc1c71a26014dcdfa7dd3d5f4f88c298c7f90ad6f27bb46d"}, + {file = "propcache-0.2.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:98110aa363f1bb4c073e8dcfaefd3a5cea0f0834c2aab23dda657e4dab2f53b5"}, + {file = "propcache-0.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:647894f5ae99c4cf6bb82a1bb3a796f6e06af3caa3d32e26d2350d0e3e3faf24"}, + {file = "propcache-0.2.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bfd3223c15bebe26518d58ccf9a39b93948d3dcb3e57a20480dfdd315356baff"}, + {file = "propcache-0.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d71264a80f3fcf512eb4f18f59423fe82d6e346ee97b90625f283df56aee103f"}, + {file = "propcache-0.2.1-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:e73091191e4280403bde6c9a52a6999d69cdfde498f1fdf629105247599b57ec"}, + {file = "propcache-0.2.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:3935bfa5fede35fb202c4b569bb9c042f337ca4ff7bd540a0aa5e37131659348"}, + {file = "propcache-0.2.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:f508b0491767bb1f2b87fdfacaba5f7eddc2f867740ec69ece6d1946d29029a6"}, + {file = "propcache-0.2.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:1672137af7c46662a1c2be1e8dc78cb6d224319aaa40271c9257d886be4363a6"}, + {file = "propcache-0.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b74c261802d3d2b85c9df2dfb2fa81b6f90deeef63c2db9f0e029a3cac50b518"}, + {file = "propcache-0.2.1-cp312-cp312-win32.whl", hash = "sha256:d09c333d36c1409d56a9d29b3a1b800a42c76a57a5a8907eacdbce3f18768246"}, + {file = "propcache-0.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:c214999039d4f2a5b2073ac506bba279945233da8c786e490d411dfc30f855c1"}, + {file = "propcache-0.2.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:aca405706e0b0a44cc6bfd41fbe89919a6a56999157f6de7e182a990c36e37bc"}, + {file = "propcache-0.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:12d1083f001ace206fe34b6bdc2cb94be66d57a850866f0b908972f90996b3e9"}, + {file = "propcache-0.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d93f3307ad32a27bda2e88ec81134b823c240aa3abb55821a8da553eed8d9439"}, + {file = "propcache-0.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba278acf14471d36316159c94a802933d10b6a1e117b8554fe0d0d9b75c9d536"}, + {file = "propcache-0.2.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4e6281aedfca15301c41f74d7005e6e3f4ca143584ba696ac69df4f02f40d629"}, + {file = "propcache-0.2.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5b750a8e5a1262434fb1517ddf64b5de58327f1adc3524a5e44c2ca43305eb0b"}, + {file = "propcache-0.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf72af5e0fb40e9babf594308911436c8efde3cb5e75b6f206c34ad18be5c052"}, + {file = "propcache-0.2.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b2d0a12018b04f4cb820781ec0dffb5f7c7c1d2a5cd22bff7fb055a2cb19ebce"}, + {file = "propcache-0.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e800776a79a5aabdb17dcc2346a7d66d0777e942e4cd251defeb084762ecd17d"}, + {file = "propcache-0.2.1-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:4160d9283bd382fa6c0c2b5e017acc95bc183570cd70968b9202ad6d8fc48dce"}, + {file = "propcache-0.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:30b43e74f1359353341a7adb783c8f1b1c676367b011709f466f42fda2045e95"}, + {file = "propcache-0.2.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:58791550b27d5488b1bb52bc96328456095d96206a250d28d874fafe11b3dfaf"}, + {file = "propcache-0.2.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:0f022d381747f0dfe27e99d928e31bc51a18b65bb9e481ae0af1380a6725dd1f"}, + {file = "propcache-0.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:297878dc9d0a334358f9b608b56d02e72899f3b8499fc6044133f0d319e2ec30"}, + {file = "propcache-0.2.1-cp313-cp313-win32.whl", hash = "sha256:ddfab44e4489bd79bda09d84c430677fc7f0a4939a73d2bba3073036f487a0a6"}, + {file = "propcache-0.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:556fc6c10989f19a179e4321e5d678db8eb2924131e64652a51fe83e4c3db0e1"}, + {file = "propcache-0.2.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:6a9a8c34fb7bb609419a211e59da8887eeca40d300b5ea8e56af98f6fbbb1541"}, + {file = "propcache-0.2.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ae1aa1cd222c6d205853b3013c69cd04515f9d6ab6de4b0603e2e1c33221303e"}, + {file = "propcache-0.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:accb6150ce61c9c4b7738d45550806aa2b71c7668c6942f17b0ac182b6142fd4"}, + {file = "propcache-0.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5eee736daafa7af6d0a2dc15cc75e05c64f37fc37bafef2e00d77c14171c2097"}, + {file = "propcache-0.2.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7a31fc1e1bd362874863fdeed71aed92d348f5336fd84f2197ba40c59f061bd"}, + {file = "propcache-0.2.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba4cfa1052819d16699e1d55d18c92b6e094d4517c41dd231a8b9f87b6fa681"}, + {file = "propcache-0.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f089118d584e859c62b3da0892b88a83d611c2033ac410e929cb6754eec0ed16"}, + {file = "propcache-0.2.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:781e65134efaf88feb447e8c97a51772aa75e48b794352f94cb7ea717dedda0d"}, + {file = "propcache-0.2.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:31f5af773530fd3c658b32b6bdc2d0838543de70eb9a2156c03e410f7b0d3aae"}, + {file = "propcache-0.2.1-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:a7a078f5d37bee6690959c813977da5291b24286e7b962e62a94cec31aa5188b"}, + {file = "propcache-0.2.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:cea7daf9fc7ae6687cf1e2c049752f19f146fdc37c2cc376e7d0032cf4f25347"}, + {file = "propcache-0.2.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:8b3489ff1ed1e8315674d0775dc7d2195fb13ca17b3808721b54dbe9fd020faf"}, + {file = "propcache-0.2.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:9403db39be1393618dd80c746cb22ccda168efce239c73af13c3763ef56ffc04"}, + {file = "propcache-0.2.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5d97151bc92d2b2578ff7ce779cdb9174337390a535953cbb9452fb65164c587"}, + {file = "propcache-0.2.1-cp39-cp39-win32.whl", hash = "sha256:9caac6b54914bdf41bcc91e7eb9147d331d29235a7c967c150ef5df6464fd1bb"}, + {file = "propcache-0.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:92fc4500fcb33899b05ba73276dfb684a20d31caa567b7cb5252d48f896a91b1"}, + {file = "propcache-0.2.1-py3-none-any.whl", hash = "sha256:52277518d6aae65536e9cea52d4e7fd2f7a66f4aa2d30ed3f2fcea620ace3c54"}, + {file = "propcache-0.2.1.tar.gz", hash = "sha256:3f77ce728b19cb537714499928fe800c3dda29e8d9428778fc7c186da4c09a64"}, +] + +[[package]] +name = "py" +version = "1.11.0" +description = "library with cross-python path, ini-parsing, io, code, log facilities" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "py-1.11.0-py2.py3-none-any.whl", hash = "sha256:607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378"}, + {file = "py-1.11.0.tar.gz", hash = "sha256:51c75c4126074b472f746a24399ad32f6053d1b34b68d2fa41e558e6f4a98719"}, +] + +[[package]] +name = "pyarrow" +version = "17.0.0" +description = "Python library for Apache Arrow" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pyarrow-17.0.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:a5c8b238d47e48812ee577ee20c9a2779e6a5904f1708ae240f53ecbee7c9f07"}, + {file = "pyarrow-17.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:db023dc4c6cae1015de9e198d41250688383c3f9af8f565370ab2b4cb5f62655"}, + {file = "pyarrow-17.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da1e060b3876faa11cee287839f9cc7cdc00649f475714b8680a05fd9071d545"}, + {file = "pyarrow-17.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75c06d4624c0ad6674364bb46ef38c3132768139ddec1c56582dbac54f2663e2"}, + {file = "pyarrow-17.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:fa3c246cc58cb5a4a5cb407a18f193354ea47dd0648194e6265bd24177982fe8"}, + {file = "pyarrow-17.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:f7ae2de664e0b158d1607699a16a488de3d008ba99b3a7aa5de1cbc13574d047"}, + {file = "pyarrow-17.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:5984f416552eea15fd9cee03da53542bf4cddaef5afecefb9aa8d1010c335087"}, + {file = "pyarrow-17.0.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:1c8856e2ef09eb87ecf937104aacfa0708f22dfeb039c363ec99735190ffb977"}, + {file = "pyarrow-17.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2e19f569567efcbbd42084e87f948778eb371d308e137a0f97afe19bb860ccb3"}, + {file = "pyarrow-17.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b244dc8e08a23b3e352899a006a26ae7b4d0da7bb636872fa8f5884e70acf15"}, + {file = "pyarrow-17.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b72e87fe3e1db343995562f7fff8aee354b55ee83d13afba65400c178ab2597"}, + {file = "pyarrow-17.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:dc5c31c37409dfbc5d014047817cb4ccd8c1ea25d19576acf1a001fe07f5b420"}, + {file = "pyarrow-17.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:e3343cb1e88bc2ea605986d4b94948716edc7a8d14afd4e2c097232f729758b4"}, + {file = "pyarrow-17.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:a27532c38f3de9eb3e90ecab63dfda948a8ca859a66e3a47f5f42d1e403c4d03"}, + {file = "pyarrow-17.0.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:9b8a823cea605221e61f34859dcc03207e52e409ccf6354634143e23af7c8d22"}, + {file = "pyarrow-17.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f1e70de6cb5790a50b01d2b686d54aaf73da01266850b05e3af2a1bc89e16053"}, + {file = "pyarrow-17.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0071ce35788c6f9077ff9ecba4858108eebe2ea5a3f7cf2cf55ebc1dbc6ee24a"}, + {file = "pyarrow-17.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:757074882f844411fcca735e39aae74248a1531367a7c80799b4266390ae51cc"}, + {file = "pyarrow-17.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:9ba11c4f16976e89146781a83833df7f82077cdab7dc6232c897789343f7891a"}, + {file = "pyarrow-17.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:b0c6ac301093b42d34410b187bba560b17c0330f64907bfa4f7f7f2444b0cf9b"}, + {file = "pyarrow-17.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:392bc9feabc647338e6c89267635e111d71edad5fcffba204425a7c8d13610d7"}, + {file = "pyarrow-17.0.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:af5ff82a04b2171415f1410cff7ebb79861afc5dae50be73ce06d6e870615204"}, + {file = "pyarrow-17.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:edca18eaca89cd6382dfbcff3dd2d87633433043650c07375d095cd3517561d8"}, + {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c7916bff914ac5d4a8fe25b7a25e432ff921e72f6f2b7547d1e325c1ad9d155"}, + {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f553ca691b9e94b202ff741bdd40f6ccb70cdd5fbf65c187af132f1317de6145"}, + {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:0cdb0e627c86c373205a2f94a510ac4376fdc523f8bb36beab2e7f204416163c"}, + {file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:d7d192305d9d8bc9082d10f361fc70a73590a4c65cf31c3e6926cd72b76bc35c"}, + {file = "pyarrow-17.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:02dae06ce212d8b3244dd3e7d12d9c4d3046945a5933d28026598e9dbbda1fca"}, + {file = "pyarrow-17.0.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:13d7a460b412f31e4c0efa1148e1d29bdf18ad1411eb6757d38f8fbdcc8645fb"}, + {file = "pyarrow-17.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9b564a51fbccfab5a04a80453e5ac6c9954a9c5ef2890d1bcf63741909c3f8df"}, + {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32503827abbc5aadedfa235f5ece8c4f8f8b0a3cf01066bc8d29de7539532687"}, + {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a155acc7f154b9ffcc85497509bcd0d43efb80d6f733b0dc3bb14e281f131c8b"}, + {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:dec8d129254d0188a49f8a1fc99e0560dc1b85f60af729f47de4046015f9b0a5"}, + {file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:a48ddf5c3c6a6c505904545c25a4ae13646ae1f8ba703c4df4a1bfe4f4006bda"}, + {file = "pyarrow-17.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:42bf93249a083aca230ba7e2786c5f673507fa97bbd9725a1e2754715151a204"}, + {file = "pyarrow-17.0.0.tar.gz", hash = "sha256:4beca9521ed2c0921c1023e68d097d0299b62c362639ea315572a58f3f50fd28"}, +] + +[package.dependencies] +numpy = ">=1.16.6" + +[package.extras] +test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"] + +[[package]] +name = "pycryptodome" +version = "3.21.0" +description = "Cryptographic library for Python" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pycryptodome-3.21.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:dad9bf36eda068e89059d1f07408e397856be9511d7113ea4b586642a429a4fd"}, + {file = "pycryptodome-3.21.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:a1752eca64c60852f38bb29e2c86fca30d7672c024128ef5d70cc15868fa10f4"}, + {file = "pycryptodome-3.21.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:3ba4cc304eac4d4d458f508d4955a88ba25026890e8abff9b60404f76a62c55e"}, + {file = "pycryptodome-3.21.0-cp27-cp27m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7cb087b8612c8a1a14cf37dd754685be9a8d9869bed2ffaaceb04850a8aeef7e"}, + {file = "pycryptodome-3.21.0-cp27-cp27m-musllinux_1_1_aarch64.whl", hash = "sha256:26412b21df30b2861424a6c6d5b1d8ca8107612a4cfa4d0183e71c5d200fb34a"}, + {file = "pycryptodome-3.21.0-cp27-cp27m-win32.whl", hash = "sha256:cc2269ab4bce40b027b49663d61d816903a4bd90ad88cb99ed561aadb3888dd3"}, + {file = "pycryptodome-3.21.0-cp27-cp27m-win_amd64.whl", hash = "sha256:0fa0a05a6a697ccbf2a12cec3d6d2650b50881899b845fac6e87416f8cb7e87d"}, + {file = "pycryptodome-3.21.0-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:6cce52e196a5f1d6797ff7946cdff2038d3b5f0aba4a43cb6bf46b575fd1b5bb"}, + {file = "pycryptodome-3.21.0-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:a915597ffccabe902e7090e199a7bf7a381c5506a747d5e9d27ba55197a2c568"}, + {file = "pycryptodome-3.21.0-cp27-cp27mu-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a4e74c522d630766b03a836c15bff77cb657c5fdf098abf8b1ada2aebc7d0819"}, + {file = "pycryptodome-3.21.0-cp27-cp27mu-musllinux_1_1_aarch64.whl", hash = "sha256:a3804675283f4764a02db05f5191eb8fec2bb6ca34d466167fc78a5f05bbe6b3"}, + {file = "pycryptodome-3.21.0-cp36-abi3-macosx_10_9_universal2.whl", hash = "sha256:2480ec2c72438430da9f601ebc12c518c093c13111a5c1644c82cdfc2e50b1e4"}, + {file = "pycryptodome-3.21.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:de18954104667f565e2fbb4783b56667f30fb49c4d79b346f52a29cb198d5b6b"}, + {file = "pycryptodome-3.21.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2de4b7263a33947ff440412339cb72b28a5a4c769b5c1ca19e33dd6cd1dcec6e"}, + {file = "pycryptodome-3.21.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0714206d467fc911042d01ea3a1847c847bc10884cf674c82e12915cfe1649f8"}, + {file = "pycryptodome-3.21.0-cp36-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d85c1b613121ed3dbaa5a97369b3b757909531a959d229406a75b912dd51dd1"}, + {file = "pycryptodome-3.21.0-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:8898a66425a57bcf15e25fc19c12490b87bd939800f39a03ea2de2aea5e3611a"}, + {file = "pycryptodome-3.21.0-cp36-abi3-musllinux_1_2_i686.whl", hash = "sha256:932c905b71a56474bff8a9c014030bc3c882cee696b448af920399f730a650c2"}, + {file = "pycryptodome-3.21.0-cp36-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:18caa8cfbc676eaaf28613637a89980ad2fd96e00c564135bf90bc3f0b34dd93"}, + {file = "pycryptodome-3.21.0-cp36-abi3-win32.whl", hash = "sha256:280b67d20e33bb63171d55b1067f61fbd932e0b1ad976b3a184303a3dad22764"}, + {file = "pycryptodome-3.21.0-cp36-abi3-win_amd64.whl", hash = "sha256:b7aa25fc0baa5b1d95b7633af4f5f1838467f1815442b22487426f94e0d66c53"}, + {file = "pycryptodome-3.21.0-pp27-pypy_73-manylinux2010_x86_64.whl", hash = "sha256:2cb635b67011bc147c257e61ce864879ffe6d03342dc74b6045059dfbdedafca"}, + {file = "pycryptodome-3.21.0-pp27-pypy_73-win32.whl", hash = "sha256:4c26a2f0dc15f81ea3afa3b0c87b87e501f235d332b7f27e2225ecb80c0b1cdd"}, + {file = "pycryptodome-3.21.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:d5ebe0763c982f069d3877832254f64974139f4f9655058452603ff559c482e8"}, + {file = "pycryptodome-3.21.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ee86cbde706be13f2dec5a42b52b1c1d1cbb90c8e405c68d0755134735c8dc6"}, + {file = "pycryptodome-3.21.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0fd54003ec3ce4e0f16c484a10bc5d8b9bd77fa662a12b85779a2d2d85d67ee0"}, + {file = "pycryptodome-3.21.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:5dfafca172933506773482b0e18f0cd766fd3920bd03ec85a283df90d8a17bc6"}, + {file = "pycryptodome-3.21.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:590ef0898a4b0a15485b05210b4a1c9de8806d3ad3d47f74ab1dc07c67a6827f"}, + {file = "pycryptodome-3.21.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f35e442630bc4bc2e1878482d6f59ea22e280d7121d7adeaedba58c23ab6386b"}, + {file = "pycryptodome-3.21.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ff99f952db3db2fbe98a0b355175f93ec334ba3d01bbde25ad3a5a33abc02b58"}, + {file = "pycryptodome-3.21.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:8acd7d34af70ee63f9a849f957558e49a98f8f1634f86a59d2be62bb8e93f71c"}, + {file = "pycryptodome-3.21.0.tar.gz", hash = "sha256:f7787e0d469bdae763b876174cf2e6c0f7be79808af26b1da96f1a64bcf47297"}, +] + +[[package]] +name = "pydantic" +version = "2.10.5" +description = "Data validation using Python type hints" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pydantic-2.10.5-py3-none-any.whl", hash = "sha256:4dd4e322dbe55472cb7ca7e73f4b63574eecccf2835ffa2af9021ce113c83c53"}, + {file = "pydantic-2.10.5.tar.gz", hash = "sha256:278b38dbbaec562011d659ee05f63346951b3a248a6f3642e1bc68894ea2b4ff"}, +] + +[package.dependencies] +annotated-types = ">=0.6.0" +pydantic-core = "2.27.2" +typing-extensions = ">=4.12.2" + +[package.extras] +email = ["email-validator (>=2.0.0)"] +timezone = ["tzdata"] + +[[package]] +name = "pydantic-core" +version = "2.27.2" +description = "Core functionality for Pydantic validation and serialization" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa"}, + {file = "pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7969e133a6f183be60e9f6f56bfae753585680f3b7307a8e555a948d443cc05a"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3de9961f2a346257caf0aa508a4da705467f53778e9ef6fe744c038119737ef5"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e2bb4d3e5873c37bb3dd58714d4cd0b0e6238cebc4177ac8fe878f8b3aa8e74c"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:280d219beebb0752699480fe8f1dc61ab6615c2046d76b7ab7ee38858de0a4e7"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47956ae78b6422cbd46f772f1746799cbb862de838fd8d1fbd34a82e05b0983a"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:14d4a5c49d2f009d62a2a7140d3064f686d17a5d1a268bc641954ba181880236"}, + {file = "pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:337b443af21d488716f8d0b6164de833e788aa6bd7e3a39c005febc1284f4962"}, + {file = "pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:03d0f86ea3184a12f41a2d23f7ccb79cdb5a18e06993f8a45baa8dfec746f0e9"}, + {file = "pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7041c36f5680c6e0f08d922aed302e98b3745d97fe1589db0a3eebf6624523af"}, + {file = "pydantic_core-2.27.2-cp310-cp310-win32.whl", hash = "sha256:50a68f3e3819077be2c98110c1f9dcb3817e93f267ba80a2c05bb4f8799e2ff4"}, + {file = "pydantic_core-2.27.2-cp310-cp310-win_amd64.whl", hash = "sha256:e0fd26b16394ead34a424eecf8a31a1f5137094cabe84a1bcb10fa6ba39d3d31"}, + {file = "pydantic_core-2.27.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:8e10c99ef58cfdf2a66fc15d66b16c4a04f62bca39db589ae8cba08bc55331bc"}, + {file = "pydantic_core-2.27.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:26f32e0adf166a84d0cb63be85c562ca8a6fa8de28e5f0d92250c6b7e9e2aff7"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c19d1ea0673cd13cc2f872f6c9ab42acc4e4f492a7ca9d3795ce2b112dd7e15"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e68c4446fe0810e959cdff46ab0a41ce2f2c86d227d96dc3847af0ba7def306"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d9640b0059ff4f14d1f37321b94061c6db164fbe49b334b31643e0528d100d99"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:40d02e7d45c9f8af700f3452f329ead92da4c5f4317ca9b896de7ce7199ea459"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c1fd185014191700554795c99b347d64f2bb637966c4cfc16998a0ca700d048"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d81d2068e1c1228a565af076598f9e7451712700b673de8f502f0334f281387d"}, + {file = "pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1a4207639fb02ec2dbb76227d7c751a20b1a6b4bc52850568e52260cae64ca3b"}, + {file = "pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:3de3ce3c9ddc8bbd88f6e0e304dea0e66d843ec9de1b0042b0911c1663ffd474"}, + {file = "pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:30c5f68ded0c36466acede341551106821043e9afaad516adfb6e8fa80a4e6a6"}, + {file = "pydantic_core-2.27.2-cp311-cp311-win32.whl", hash = "sha256:c70c26d2c99f78b125a3459f8afe1aed4d9687c24fd677c6a4436bc042e50d6c"}, + {file = "pydantic_core-2.27.2-cp311-cp311-win_amd64.whl", hash = "sha256:08e125dbdc505fa69ca7d9c499639ab6407cfa909214d500897d02afb816e7cc"}, + {file = "pydantic_core-2.27.2-cp311-cp311-win_arm64.whl", hash = "sha256:26f0d68d4b235a2bae0c3fc585c585b4ecc51382db0e3ba402a22cbc440915e4"}, + {file = "pydantic_core-2.27.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:9e0c8cfefa0ef83b4da9588448b6d8d2a2bf1a53c3f1ae5fca39eb3061e2f0b0"}, + {file = "pydantic_core-2.27.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:83097677b8e3bd7eaa6775720ec8e0405f1575015a463285a92bfdfe254529ef"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:172fce187655fece0c90d90a678424b013f8fbb0ca8b036ac266749c09438cb7"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:519f29f5213271eeeeb3093f662ba2fd512b91c5f188f3bb7b27bc5973816934"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05e3a55d124407fffba0dd6b0c0cd056d10e983ceb4e5dbd10dda135c31071d6"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c3ed807c7b91de05e63930188f19e921d1fe90de6b4f5cd43ee7fcc3525cb8c"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fb4aadc0b9a0c063206846d603b92030eb6f03069151a625667f982887153e2"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:28ccb213807e037460326424ceb8b5245acb88f32f3d2777427476e1b32c48c4"}, + {file = "pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:de3cd1899e2c279b140adde9357c4495ed9d47131b4a4eaff9052f23398076b3"}, + {file = "pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:220f892729375e2d736b97d0e51466252ad84c51857d4d15f5e9692f9ef12be4"}, + {file = "pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a0fcd29cd6b4e74fe8ddd2c90330fd8edf2e30cb52acda47f06dd615ae72da57"}, + {file = "pydantic_core-2.27.2-cp312-cp312-win32.whl", hash = "sha256:1e2cb691ed9834cd6a8be61228471d0a503731abfb42f82458ff27be7b2186fc"}, + {file = "pydantic_core-2.27.2-cp312-cp312-win_amd64.whl", hash = "sha256:cc3f1a99a4f4f9dd1de4fe0312c114e740b5ddead65bb4102884b384c15d8bc9"}, + {file = "pydantic_core-2.27.2-cp312-cp312-win_arm64.whl", hash = "sha256:3911ac9284cd8a1792d3cb26a2da18f3ca26c6908cc434a18f730dc0db7bfa3b"}, + {file = "pydantic_core-2.27.2-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:7d14bd329640e63852364c306f4d23eb744e0f8193148d4044dd3dacdaacbd8b"}, + {file = "pydantic_core-2.27.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:82f91663004eb8ed30ff478d77c4d1179b3563df6cdb15c0817cd1cdaf34d154"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71b24c7d61131bb83df10cc7e687433609963a944ccf45190cfc21e0887b08c9"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fa8e459d4954f608fa26116118bb67f56b93b209c39b008277ace29937453dc9"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce8918cbebc8da707ba805b7fd0b382816858728ae7fe19a942080c24e5b7cd1"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eda3f5c2a021bbc5d976107bb302e0131351c2ba54343f8a496dc8783d3d3a6a"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd8086fa684c4775c27f03f062cbb9eaa6e17f064307e86b21b9e0abc9c0f02e"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8d9b3388db186ba0c099a6d20f0604a44eabdeef1777ddd94786cdae158729e4"}, + {file = "pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7a66efda2387de898c8f38c0cf7f14fca0b51a8ef0b24bfea5849f1b3c95af27"}, + {file = "pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:18a101c168e4e092ab40dbc2503bdc0f62010e95d292b27827871dc85450d7ee"}, + {file = "pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ba5dd002f88b78a4215ed2f8ddbdf85e8513382820ba15ad5ad8955ce0ca19a1"}, + {file = "pydantic_core-2.27.2-cp313-cp313-win32.whl", hash = "sha256:1ebaf1d0481914d004a573394f4be3a7616334be70261007e47c2a6fe7e50130"}, + {file = "pydantic_core-2.27.2-cp313-cp313-win_amd64.whl", hash = "sha256:953101387ecf2f5652883208769a79e48db18c6df442568a0b5ccd8c2723abee"}, + {file = "pydantic_core-2.27.2-cp313-cp313-win_arm64.whl", hash = "sha256:ac4dbfd1691affb8f48c2c13241a2e3b60ff23247cbcf981759c768b6633cf8b"}, + {file = "pydantic_core-2.27.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d3e8d504bdd3f10835468f29008d72fc8359d95c9c415ce6e767203db6127506"}, + {file = "pydantic_core-2.27.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:521eb9b7f036c9b6187f0b47318ab0d7ca14bd87f776240b90b21c1f4f149320"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85210c4d99a0114f5a9481b44560d7d1e35e32cc5634c656bc48e590b669b145"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d716e2e30c6f140d7560ef1538953a5cd1a87264c737643d481f2779fc247fe1"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f66d89ba397d92f840f8654756196d93804278457b5fbede59598a1f9f90b228"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:669e193c1c576a58f132e3158f9dfa9662969edb1a250c54d8fa52590045f046"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fdbe7629b996647b99c01b37f11170a57ae675375b14b8c13b8518b8320ced5"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d262606bf386a5ba0b0af3b97f37c83d7011439e3dc1a9298f21efb292e42f1a"}, + {file = "pydantic_core-2.27.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:cabb9bcb7e0d97f74df8646f34fc76fbf793b7f6dc2438517d7a9e50eee4f14d"}, + {file = "pydantic_core-2.27.2-cp38-cp38-musllinux_1_1_armv7l.whl", hash = "sha256:d2d63f1215638d28221f664596b1ccb3944f6e25dd18cd3b86b0a4c408d5ebb9"}, + {file = "pydantic_core-2.27.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:bca101c00bff0adb45a833f8451b9105d9df18accb8743b08107d7ada14bd7da"}, + {file = "pydantic_core-2.27.2-cp38-cp38-win32.whl", hash = "sha256:f6f8e111843bbb0dee4cb6594cdc73e79b3329b526037ec242a3e49012495b3b"}, + {file = "pydantic_core-2.27.2-cp38-cp38-win_amd64.whl", hash = "sha256:fd1aea04935a508f62e0d0ef1f5ae968774a32afc306fb8545e06f5ff5cdf3ad"}, + {file = "pydantic_core-2.27.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c10eb4f1659290b523af58fa7cffb452a61ad6ae5613404519aee4bfbf1df993"}, + {file = "pydantic_core-2.27.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ef592d4bad47296fb11f96cd7dc898b92e795032b4894dfb4076cfccd43a9308"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c61709a844acc6bf0b7dce7daae75195a10aac96a596ea1b776996414791ede4"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42c5f762659e47fdb7b16956c71598292f60a03aa92f8b6351504359dbdba6cf"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4c9775e339e42e79ec99c441d9730fccf07414af63eac2f0e48e08fd38a64d76"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:57762139821c31847cfb2df63c12f725788bd9f04bc2fb392790959b8f70f118"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d1e85068e818c73e048fe28cfc769040bb1f475524f4745a5dc621f75ac7630"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:097830ed52fd9e427942ff3b9bc17fab52913b2f50f2880dc4a5611446606a54"}, + {file = "pydantic_core-2.27.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:044a50963a614ecfae59bb1eaf7ea7efc4bc62f49ed594e18fa1e5d953c40e9f"}, + {file = "pydantic_core-2.27.2-cp39-cp39-musllinux_1_1_armv7l.whl", hash = "sha256:4e0b4220ba5b40d727c7f879eac379b822eee5d8fff418e9d3381ee45b3b0362"}, + {file = "pydantic_core-2.27.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5e4f4bb20d75e9325cc9696c6802657b58bc1dbbe3022f32cc2b2b632c3fbb96"}, + {file = "pydantic_core-2.27.2-cp39-cp39-win32.whl", hash = "sha256:cca63613e90d001b9f2f9a9ceb276c308bfa2a43fafb75c8031c4f66039e8c6e"}, + {file = "pydantic_core-2.27.2-cp39-cp39-win_amd64.whl", hash = "sha256:77d1bca19b0f7021b3a982e6f903dcd5b2b06076def36a652e3907f596e29f67"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2bf14caea37e91198329b828eae1618c068dfb8ef17bb33287a7ad4b61ac314e"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:b0cb791f5b45307caae8810c2023a184c74605ec3bcbb67d13846c28ff731ff8"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:688d3fd9fcb71f41c4c015c023d12a79d1c4c0732ec9eb35d96e3388a120dcf3"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d591580c34f4d731592f0e9fe40f9cc1b430d297eecc70b962e93c5c668f15f"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:82f986faf4e644ffc189a7f1aafc86e46ef70372bb153e7001e8afccc6e54133"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:bec317a27290e2537f922639cafd54990551725fc844249e64c523301d0822fc"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:0296abcb83a797db256b773f45773da397da75a08f5fcaef41f2044adec05f50"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0d75070718e369e452075a6017fbf187f788e17ed67a3abd47fa934d001863d9"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:7e17b560be3c98a8e3aa66ce828bdebb9e9ac6ad5466fba92eb74c4c95cb1151"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c33939a82924da9ed65dab5a65d427205a73181d8098e79b6b426bdf8ad4e656"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:00bad2484fa6bda1e216e7345a798bd37c68fb2d97558edd584942aa41b7d278"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c817e2b40aba42bac6f457498dacabc568c3b7a986fc9ba7c8d9d260b71485fb"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:251136cdad0cb722e93732cb45ca5299fb56e1344a833640bf93b2803f8d1bfd"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d2088237af596f0a524d3afc39ab3b036e8adb054ee57cbb1dcf8e09da5b29cc"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d4041c0b966a84b4ae7a09832eb691a35aec90910cd2dbe7a208de59be77965b"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:8083d4e875ebe0b864ffef72a4304827015cff328a1be6e22cc850753bfb122b"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f141ee28a0ad2123b6611b6ceff018039df17f32ada8b534e6aa039545a3efb2"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7d0c8399fcc1848491f00e0314bd59fb34a9c008761bcb422a057670c3f65e35"}, + {file = "pydantic_core-2.27.2.tar.gz", hash = "sha256:eb026e5a4c1fee05726072337ff51d1efb6f59090b7da90d30ea58625b1ffb39"}, +] + +[package.dependencies] +typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0" + +[[package]] +name = "pydantic-settings" +version = "2.6.1" +description = "Settings management using Pydantic" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pydantic_settings-2.6.1-py3-none-any.whl", hash = "sha256:7fb0637c786a558d3103436278a7c4f1cfd29ba8973238a50c5bb9a55387da87"}, + {file = "pydantic_settings-2.6.1.tar.gz", hash = "sha256:e0f92546d8a9923cb8941689abf85d6601a8c19a23e97a34b2964a2e3f813ca0"}, +] + +[package.dependencies] +pydantic = ">=2.7.0" +python-dotenv = ">=0.21.0" + +[package.extras] +azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"] +toml = ["tomli (>=2.0.1)"] +yaml = ["pyyaml (>=6.0.1)"] + +[[package]] +name = "pydub" +version = "0.25.1" +description = "Manipulate audio with an simple and easy high level interface" +optional = false +python-versions = "*" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pydub-0.25.1-py2.py3-none-any.whl", hash = "sha256:65617e33033874b59d87db603aa1ed450633288aefead953b30bded59cb599a6"}, + {file = "pydub-0.25.1.tar.gz", hash = "sha256:980a33ce9949cab2a569606b65674d748ecbca4f0796887fd6f46173a7b0d30f"}, +] + +[[package]] +name = "pygments" +version = "2.19.1" +description = "Pygments is a syntax highlighting package written in Python." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"}, + {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"}, +] + +[package.extras] +windows-terminal = ["colorama (>=0.4.6)"] + +[[package]] +name = "python-dateutil" +version = "2.9.0.post0" +description = "Extensions to the standard Python datetime module" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, + {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, +] + +[package.dependencies] +six = ">=1.5" + +[[package]] +name = "python-docx" +version = "1.1.2" +description = "Create, read, and update Microsoft Word .docx files." +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe"}, + {file = "python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd"}, +] + +[package.dependencies] +lxml = ">=3.1.0" +typing-extensions = ">=4.9.0" + +[[package]] +name = "python-dotenv" +version = "1.0.1" +description = "Read key-value pairs from a .env file and set them as environment variables" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"}, + {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"}, +] + +[package.extras] +cli = ["click (>=5.0)"] + +[[package]] +name = "python-multipart" +version = "0.0.20" +description = "A streaming multipart parser for Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "python_multipart-0.0.20-py3-none-any.whl", hash = "sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104"}, + {file = "python_multipart-0.0.20.tar.gz", hash = "sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13"}, +] + +[[package]] +name = "pytz" +version = "2024.2" +description = "World timezone definitions, modern and historical" +optional = false +python-versions = "*" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "pytz-2024.2-py2.py3-none-any.whl", hash = "sha256:31c7c1817eb7fae7ca4b8c7ee50c72f93aa2dd863de768e1ef4245d426aa0725"}, + {file = "pytz-2024.2.tar.gz", hash = "sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a"}, +] + +[[package]] +name = "pyyaml" +version = "6.0.2" +description = "YAML parser and emitter for Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"}, + {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"}, + {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"}, + {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"}, + {file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"}, + {file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"}, + {file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"}, + {file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"}, + {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"}, + {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"}, + {file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"}, + {file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"}, + {file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"}, + {file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"}, + {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"}, + {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"}, + {file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"}, + {file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"}, + {file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"}, + {file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"}, + {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"}, + {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"}, + {file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"}, + {file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"}, + {file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"}, + {file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"}, + {file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"}, + {file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"}, + {file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"}, + {file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"}, + {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"}, + {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"}, + {file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"}, + {file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"}, + {file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"}, +] + +[[package]] +name = "qianfan" +version = "0.3.18" +description = "文心千帆大模型平台 Python SDK" +optional = false +python-versions = "<4,>=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "qianfan-0.3.18-py3-none-any.whl", hash = "sha256:6332cd9341c3d6bbbd8c613774c3d1ac98010264118f45c1abc7aa4559eb3098"}, + {file = "qianfan-0.3.18.tar.gz", hash = "sha256:f6d4a463e9bda3e7afbab156be85376975444f2c0aa504de0f7d2a6b3701c263"}, +] + +[package.dependencies] +aiohttp = ">=3.7.0" +aiolimiter = ">=1.1.0" +bce-python-sdk = ">=0.8.79" +diskcache = ">=5.6.3,<6.0.0" +multiprocess = "*" +prompt-toolkit = ">=3.0.38" +pydantic = "*" +python-dotenv = {version = ">=1.0", markers = "python_version >= \"3.8\""} +pyyaml = ">=6.0.1,<7.0.0" +requests = ">=2.24" +rich = ">=13.0.0" +tenacity = ">=8.2.3,<9.0.0" +typer = ">=0.9.0" +typing-extensions = {version = ">=4.0.0", markers = "python_full_version <= \"3.10.0\""} + +[package.extras] +all = ["emoji", "fastapi", "filelock", "ijson", "langchain (>=0.1.10)", "langchain-community", "locust", "ltp", "numpy (<1.22.0)", "numpy (>=1.22.0)", "pyarrow (<=12.0.1)", "pyarrow (>=14.0.1)", "python-dateutil (>=2.8.2,<3.0.0)", "sentencepiece", "tabulate", "torch", "torch (<=1.13.1)", "uvicorn"] +dataset-base = ["filelock", "ijson", "locust", "numpy (<1.22.0)", "numpy (>=1.22.0)", "pyarrow (<=12.0.1)", "pyarrow (>=14.0.1)", "python-dateutil (>=2.8.2,<3.0.0)", "tabulate"] +langchain = ["langchain (>=0.1.10)", "langchain-community"] +local-data-clean = ["emoji", "filelock", "ijson", "locust", "ltp", "numpy (<1.22.0)", "numpy (>=1.22.0)", "pyarrow (<=12.0.1)", "pyarrow (>=14.0.1)", "python-dateutil (>=2.8.2,<3.0.0)", "sentencepiece", "tabulate", "torch", "torch (<=1.13.1)"] +openai = ["fastapi", "uvicorn"] + +[[package]] +name = "regex" +version = "2024.11.6" +description = "Alternative regular expression module, to replace re." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"}, + {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"}, + {file = "regex-2024.11.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:164d8b7b3b4bcb2068b97428060b2a53be050085ef94eca7f240e7947f1b080e"}, + {file = "regex-2024.11.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3660c82f209655a06b587d55e723f0b813d3a7db2e32e5e7dc64ac2a9e86fde"}, + {file = "regex-2024.11.6-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d22326fcdef5e08c154280b71163ced384b428343ae16a5ab2b3354aed12436e"}, + {file = "regex-2024.11.6-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f1ac758ef6aebfc8943560194e9fd0fa18bcb34d89fd8bd2af18183afd8da3a2"}, + {file = "regex-2024.11.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:997d6a487ff00807ba810e0f8332c18b4eb8d29463cfb7c820dc4b6e7562d0cf"}, + {file = "regex-2024.11.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:02a02d2bb04fec86ad61f3ea7f49c015a0681bf76abb9857f945d26159d2968c"}, + {file = "regex-2024.11.6-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f02f93b92358ee3f78660e43b4b0091229260c5d5c408d17d60bf26b6c900e86"}, + {file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:06eb1be98df10e81ebaded73fcd51989dcf534e3c753466e4b60c4697a003b67"}, + {file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:040df6fe1a5504eb0f04f048e6d09cd7c7110fef851d7c567a6b6e09942feb7d"}, + {file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:fdabbfc59f2c6edba2a6622c647b716e34e8e3867e0ab975412c5c2f79b82da2"}, + {file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:8447d2d39b5abe381419319f942de20b7ecd60ce86f16a23b0698f22e1b70008"}, + {file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:da8f5fc57d1933de22a9e23eec290a0d8a5927a5370d24bda9a6abe50683fe62"}, + {file = "regex-2024.11.6-cp310-cp310-win32.whl", hash = "sha256:b489578720afb782f6ccf2840920f3a32e31ba28a4b162e13900c3e6bd3f930e"}, + {file = "regex-2024.11.6-cp310-cp310-win_amd64.whl", hash = "sha256:5071b2093e793357c9d8b2929dfc13ac5f0a6c650559503bb81189d0a3814519"}, + {file = "regex-2024.11.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:5478c6962ad548b54a591778e93cd7c456a7a29f8eca9c49e4f9a806dcc5d638"}, + {file = "regex-2024.11.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2c89a8cc122b25ce6945f0423dc1352cb9593c68abd19223eebbd4e56612c5b7"}, + {file = "regex-2024.11.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:94d87b689cdd831934fa3ce16cc15cd65748e6d689f5d2b8f4f4df2065c9fa20"}, + {file = "regex-2024.11.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1062b39a0a2b75a9c694f7a08e7183a80c63c0d62b301418ffd9c35f55aaa114"}, + {file = "regex-2024.11.6-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:167ed4852351d8a750da48712c3930b031f6efdaa0f22fa1933716bfcd6bf4a3"}, + {file = "regex-2024.11.6-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2d548dafee61f06ebdb584080621f3e0c23fff312f0de1afc776e2a2ba99a74f"}, + {file = "regex-2024.11.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2a19f302cd1ce5dd01a9099aaa19cae6173306d1302a43b627f62e21cf18ac0"}, + {file = "regex-2024.11.6-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bec9931dfb61ddd8ef2ebc05646293812cb6b16b60cf7c9511a832b6f1854b55"}, + {file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:9714398225f299aa85267fd222f7142fcb5c769e73d7733344efc46f2ef5cf89"}, + {file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:202eb32e89f60fc147a41e55cb086db2a3f8cb82f9a9a88440dcfc5d37faae8d"}, + {file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:4181b814e56078e9b00427ca358ec44333765f5ca1b45597ec7446d3a1ef6e34"}, + {file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:068376da5a7e4da51968ce4c122a7cd31afaaec4fccc7856c92f63876e57b51d"}, + {file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ac10f2c4184420d881a3475fb2c6f4d95d53a8d50209a2500723d831036f7c45"}, + {file = "regex-2024.11.6-cp311-cp311-win32.whl", hash = "sha256:c36f9b6f5f8649bb251a5f3f66564438977b7ef8386a52460ae77e6070d309d9"}, + {file = "regex-2024.11.6-cp311-cp311-win_amd64.whl", hash = "sha256:02e28184be537f0e75c1f9b2f8847dc51e08e6e171c6bde130b2687e0c33cf60"}, + {file = "regex-2024.11.6-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:52fb28f528778f184f870b7cf8f225f5eef0a8f6e3778529bdd40c7b3920796a"}, + {file = "regex-2024.11.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:fdd6028445d2460f33136c55eeb1f601ab06d74cb3347132e1c24250187500d9"}, + {file = "regex-2024.11.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:805e6b60c54bf766b251e94526ebad60b7de0c70f70a4e6210ee2891acb70bf2"}, + {file = "regex-2024.11.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b85c2530be953a890eaffde05485238f07029600e8f098cdf1848d414a8b45e4"}, + {file = "regex-2024.11.6-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bb26437975da7dc36b7efad18aa9dd4ea569d2357ae6b783bf1118dabd9ea577"}, + {file = "regex-2024.11.6-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:abfa5080c374a76a251ba60683242bc17eeb2c9818d0d30117b4486be10c59d3"}, + {file = "regex-2024.11.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b7fa6606c2881c1db9479b0eaa11ed5dfa11c8d60a474ff0e095099f39d98e"}, + {file = "regex-2024.11.6-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0c32f75920cf99fe6b6c539c399a4a128452eaf1af27f39bce8909c9a3fd8cbe"}, + {file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:982e6d21414e78e1f51cf595d7f321dcd14de1f2881c5dc6a6e23bbbbd68435e"}, + {file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a7c2155f790e2fb448faed6dd241386719802296ec588a8b9051c1f5c481bc29"}, + {file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:149f5008d286636e48cd0b1dd65018548944e495b0265b45e1bffecce1ef7f39"}, + {file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:e5364a4502efca094731680e80009632ad6624084aff9a23ce8c8c6820de3e51"}, + {file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0a86e7eeca091c09e021db8eb72d54751e527fa47b8d5787caf96d9831bd02ad"}, + {file = "regex-2024.11.6-cp312-cp312-win32.whl", hash = "sha256:32f9a4c643baad4efa81d549c2aadefaeba12249b2adc5af541759237eee1c54"}, + {file = "regex-2024.11.6-cp312-cp312-win_amd64.whl", hash = "sha256:a93c194e2df18f7d264092dc8539b8ffb86b45b899ab976aa15d48214138e81b"}, + {file = "regex-2024.11.6-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a6ba92c0bcdf96cbf43a12c717eae4bc98325ca3730f6b130ffa2e3c3c723d84"}, + {file = "regex-2024.11.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:525eab0b789891ac3be914d36893bdf972d483fe66551f79d3e27146191a37d4"}, + {file = "regex-2024.11.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:086a27a0b4ca227941700e0b31425e7a28ef1ae8e5e05a33826e17e47fbfdba0"}, + {file = "regex-2024.11.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bde01f35767c4a7899b7eb6e823b125a64de314a8ee9791367c9a34d56af18d0"}, + {file = "regex-2024.11.6-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b583904576650166b3d920d2bcce13971f6f9e9a396c673187f49811b2769dc7"}, + {file = "regex-2024.11.6-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1c4de13f06a0d54fa0d5ab1b7138bfa0d883220965a29616e3ea61b35d5f5fc7"}, + {file = "regex-2024.11.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3cde6e9f2580eb1665965ce9bf17ff4952f34f5b126beb509fee8f4e994f143c"}, + {file = "regex-2024.11.6-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0d7f453dca13f40a02b79636a339c5b62b670141e63efd511d3f8f73fba162b3"}, + {file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:59dfe1ed21aea057a65c6b586afd2a945de04fc7db3de0a6e3ed5397ad491b07"}, + {file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b97c1e0bd37c5cd7902e65f410779d39eeda155800b65fc4d04cc432efa9bc6e"}, + {file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f9d1e379028e0fc2ae3654bac3cbbef81bf3fd571272a42d56c24007979bafb6"}, + {file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:13291b39131e2d002a7940fb176e120bec5145f3aeb7621be6534e46251912c4"}, + {file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4f51f88c126370dcec4908576c5a627220da6c09d0bff31cfa89f2523843316d"}, + {file = "regex-2024.11.6-cp313-cp313-win32.whl", hash = "sha256:63b13cfd72e9601125027202cad74995ab26921d8cd935c25f09c630436348ff"}, + {file = "regex-2024.11.6-cp313-cp313-win_amd64.whl", hash = "sha256:2b3361af3198667e99927da8b84c1b010752fa4b1115ee30beaa332cabc3ef1a"}, + {file = "regex-2024.11.6-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:3a51ccc315653ba012774efca4f23d1d2a8a8f278a6072e29c7147eee7da446b"}, + {file = "regex-2024.11.6-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ad182d02e40de7459b73155deb8996bbd8e96852267879396fb274e8700190e3"}, + {file = "regex-2024.11.6-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ba9b72e5643641b7d41fa1f6d5abda2c9a263ae835b917348fc3c928182ad467"}, + {file = "regex-2024.11.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40291b1b89ca6ad8d3f2b82782cc33807f1406cf68c8d440861da6304d8ffbbd"}, + {file = "regex-2024.11.6-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cdf58d0e516ee426a48f7b2c03a332a4114420716d55769ff7108c37a09951bf"}, + {file = "regex-2024.11.6-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a36fdf2af13c2b14738f6e973aba563623cb77d753bbbd8d414d18bfaa3105dd"}, + {file = "regex-2024.11.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d1cee317bfc014c2419a76bcc87f071405e3966da434e03e13beb45f8aced1a6"}, + {file = "regex-2024.11.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50153825ee016b91549962f970d6a4442fa106832e14c918acd1c8e479916c4f"}, + {file = "regex-2024.11.6-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ea1bfda2f7162605f6e8178223576856b3d791109f15ea99a9f95c16a7636fb5"}, + {file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:df951c5f4a1b1910f1a99ff42c473ff60f8225baa1cdd3539fe2819d9543e9df"}, + {file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:072623554418a9911446278f16ecb398fb3b540147a7828c06e2011fa531e773"}, + {file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:f654882311409afb1d780b940234208a252322c24a93b442ca714d119e68086c"}, + {file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:89d75e7293d2b3e674db7d4d9b1bee7f8f3d1609428e293771d1a962617150cc"}, + {file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:f65557897fc977a44ab205ea871b690adaef6b9da6afda4790a2484b04293a5f"}, + {file = "regex-2024.11.6-cp38-cp38-win32.whl", hash = "sha256:6f44ec28b1f858c98d3036ad5d7d0bfc568bdd7a74f9c24e25f41ef1ebfd81a4"}, + {file = "regex-2024.11.6-cp38-cp38-win_amd64.whl", hash = "sha256:bb8f74f2f10dbf13a0be8de623ba4f9491faf58c24064f32b65679b021ed0001"}, + {file = "regex-2024.11.6-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5704e174f8ccab2026bd2f1ab6c510345ae8eac818b613d7d73e785f1310f839"}, + {file = "regex-2024.11.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:220902c3c5cc6af55d4fe19ead504de80eb91f786dc102fbd74894b1551f095e"}, + {file = "regex-2024.11.6-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5e7e351589da0850c125f1600a4c4ba3c722efefe16b297de54300f08d734fbf"}, + {file = "regex-2024.11.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5056b185ca113c88e18223183aa1a50e66507769c9640a6ff75859619d73957b"}, + {file = "regex-2024.11.6-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2e34b51b650b23ed3354b5a07aab37034d9f923db2a40519139af34f485f77d0"}, + {file = "regex-2024.11.6-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5670bce7b200273eee1840ef307bfa07cda90b38ae56e9a6ebcc9f50da9c469b"}, + {file = "regex-2024.11.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:08986dce1339bc932923e7d1232ce9881499a0e02925f7402fb7c982515419ef"}, + {file = "regex-2024.11.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:93c0b12d3d3bc25af4ebbf38f9ee780a487e8bf6954c115b9f015822d3bb8e48"}, + {file = "regex-2024.11.6-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:764e71f22ab3b305e7f4c21f1a97e1526a25ebdd22513e251cf376760213da13"}, + {file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:f056bf21105c2515c32372bbc057f43eb02aae2fda61052e2f7622c801f0b4e2"}, + {file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:69ab78f848845569401469da20df3e081e6b5a11cb086de3eed1d48f5ed57c95"}, + {file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:86fddba590aad9208e2fa8b43b4c098bb0ec74f15718bb6a704e3c63e2cef3e9"}, + {file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:684d7a212682996d21ca12ef3c17353c021fe9de6049e19ac8481ec35574a70f"}, + {file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a03e02f48cd1abbd9f3b7e3586d97c8f7a9721c436f51a5245b3b9483044480b"}, + {file = "regex-2024.11.6-cp39-cp39-win32.whl", hash = "sha256:41758407fc32d5c3c5de163888068cfee69cb4c2be844e7ac517a52770f9af57"}, + {file = "regex-2024.11.6-cp39-cp39-win_amd64.whl", hash = "sha256:b2837718570f95dd41675328e111345f9b7095d821bac435aac173ac80b19983"}, + {file = "regex-2024.11.6.tar.gz", hash = "sha256:7ab159b063c52a0333c884e4679f8d7a85112ee3078fe3d9004b2dd875585519"}, +] + +[[package]] +name = "requests" +version = "2.32.3" +description = "Python HTTP for Humans." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"}, + {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"}, +] + +[package.dependencies] +certifi = ">=2017.4.17" +charset-normalizer = ">=2,<4" +idna = ">=2.5,<4" +urllib3 = ">=1.21.1,<3" + +[package.extras] +socks = ["PySocks (>=1.5.6,!=1.5.7)"] +use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] + +[[package]] +name = "requests-toolbelt" +version = "1.0.0" +description = "A utility belt for advanced users of python-requests" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"}, + {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"}, +] + +[package.dependencies] +requests = ">=2.0.1,<3.0.0" + +[[package]] +name = "retry" +version = "0.9.2" +description = "Easy to use retry decorator." +optional = false +python-versions = "*" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "retry-0.9.2-py2.py3-none-any.whl", hash = "sha256:ccddf89761fa2c726ab29391837d4327f819ea14d244c232a1d24c67a2f98606"}, + {file = "retry-0.9.2.tar.gz", hash = "sha256:f8bfa8b99b69c4506d6f5bd3b0aabf77f98cdb17f3c9fc3f5ca820033336fba4"}, +] + +[package.dependencies] +decorator = ">=3.4.2" +py = ">=1.4.26,<2.0.0" + +[[package]] +name = "rich" +version = "13.9.4" +description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" +optional = false +python-versions = ">=3.8.0" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"}, + {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"}, +] + +[package.dependencies] +markdown-it-py = ">=2.2.0" +pygments = ">=2.13.0,<3.0.0" +typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""} + +[package.extras] +jupyter = ["ipywidgets (>=7.5.1,<9)"] + +[[package]] +name = "ruff" +version = "0.9.1" +description = "An extremely fast Python linter and code formatter, written in Rust." +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\" and sys_platform != \"emscripten\"" +files = [ + {file = "ruff-0.9.1-py3-none-linux_armv6l.whl", hash = "sha256:84330dda7abcc270e6055551aca93fdde1b0685fc4fd358f26410f9349cf1743"}, + {file = "ruff-0.9.1-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:3cae39ba5d137054b0e5b472aee3b78a7c884e61591b100aeb544bcd1fc38d4f"}, + {file = "ruff-0.9.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:50c647ff96f4ba288db0ad87048257753733763b409b2faf2ea78b45c8bb7fcb"}, + {file = "ruff-0.9.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0c8b149e9c7353cace7d698e1656ffcf1e36e50f8ea3b5d5f7f87ff9986a7ca"}, + {file = "ruff-0.9.1-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:beb3298604540c884d8b282fe7625651378e1986c25df51dec5b2f60cafc31ce"}, + {file = "ruff-0.9.1-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:39d0174ccc45c439093971cc06ed3ac4dc545f5e8bdacf9f067adf879544d969"}, + {file = "ruff-0.9.1-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:69572926c0f0c9912288915214ca9b2809525ea263603370b9e00bed2ba56dbd"}, + {file = "ruff-0.9.1-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:937267afce0c9170d6d29f01fcd1f4378172dec6760a9f4dface48cdabf9610a"}, + {file = "ruff-0.9.1-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:186c2313de946f2c22bdf5954b8dd083e124bcfb685732cfb0beae0c47233d9b"}, + {file = "ruff-0.9.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f94942a3bb767675d9a051867c036655fe9f6c8a491539156a6f7e6b5f31831"}, + {file = "ruff-0.9.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:728d791b769cc28c05f12c280f99e8896932e9833fef1dd8756a6af2261fd1ab"}, + {file = "ruff-0.9.1-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2f312c86fb40c5c02b44a29a750ee3b21002bd813b5233facdaf63a51d9a85e1"}, + {file = "ruff-0.9.1-py3-none-musllinux_1_2_i686.whl", hash = "sha256:ae017c3a29bee341ba584f3823f805abbe5fe9cd97f87ed07ecbf533c4c88366"}, + {file = "ruff-0.9.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:5dc40a378a0e21b4cfe2b8a0f1812a6572fc7b230ef12cd9fac9161aa91d807f"}, + {file = "ruff-0.9.1-py3-none-win32.whl", hash = "sha256:46ebf5cc106cf7e7378ca3c28ce4293b61b449cd121b98699be727d40b79ba72"}, + {file = "ruff-0.9.1-py3-none-win_amd64.whl", hash = "sha256:342a824b46ddbcdddd3abfbb332fa7fcaac5488bf18073e841236aadf4ad5c19"}, + {file = "ruff-0.9.1-py3-none-win_arm64.whl", hash = "sha256:1cd76c7f9c679e6e8f2af8f778367dca82b95009bc7b1a85a47f1521ae524fa7"}, + {file = "ruff-0.9.1.tar.gz", hash = "sha256:fd2b25ecaf907d6458fa842675382c8597b3c746a2dde6717fe3415425df0c17"}, +] + +[[package]] +name = "safehttpx" +version = "0.1.6" +description = "A small Python library created to help developers protect their applications from Server Side Request Forgery (SSRF) attacks." +optional = false +python-versions = ">3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "safehttpx-0.1.6-py3-none-any.whl", hash = "sha256:407cff0b410b071623087c63dd2080c3b44dc076888d8c5823c00d1e58cb381c"}, + {file = "safehttpx-0.1.6.tar.gz", hash = "sha256:b356bfc82cee3a24c395b94a2dbeabbed60aff1aa5fa3b5fe97c4f2456ebce42"}, +] + +[package.dependencies] +httpx = "*" + +[package.extras] +dev = ["pytest"] + +[[package]] +name = "semantic-version" +version = "2.10.0" +description = "A library implementing the 'SemVer' scheme." +optional = false +python-versions = ">=2.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "semantic_version-2.10.0-py2.py3-none-any.whl", hash = "sha256:de78a3b8e0feda74cabc54aab2da702113e33ac9d9eb9d2389bcf1f58b7d9177"}, + {file = "semantic_version-2.10.0.tar.gz", hash = "sha256:bdabb6d336998cbb378d4b9db3a4b56a1e3235701dc05ea2690d9a997ed5041c"}, +] + +[package.extras] +dev = ["Django (>=1.11)", "check-manifest", "colorama (<=0.4.1)", "coverage", "flake8", "nose2", "readme-renderer (<25.0)", "tox", "wheel", "zest.releaser[recommended]"] +doc = ["Sphinx", "sphinx-rtd-theme"] + +[[package]] +name = "setuptools" +version = "70.0.0" +description = "Easily download, build, install, upgrade, and uninstall Python packages" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "setuptools-70.0.0-py3-none-any.whl", hash = "sha256:54faa7f2e8d2d11bcd2c07bed282eef1046b5c080d1c32add737d7b5817b1ad4"}, + {file = "setuptools-70.0.0.tar.gz", hash = "sha256:f211a66637b8fa059bb28183da127d4e86396c991a942b028c6650d4319c3fd0"}, +] + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"] +testing = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] + +[[package]] +name = "shellingham" +version = "1.5.4" +description = "Tool to Detect Surrounding Shell" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, + {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, +] + +[[package]] +name = "six" +version = "1.17.0" +description = "Python 2 and 3 compatibility utilities" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, + {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, +] + +[[package]] +name = "sniffio" +version = "1.3.1" +description = "Sniff out which async library your code is running under" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, + {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, +] + +[[package]] +name = "starlette" +version = "0.41.3" +description = "The little ASGI library that shines." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "starlette-0.41.3-py3-none-any.whl", hash = "sha256:44cedb2b7c77a9de33a8b74b2b90e9f50d11fcf25d8270ea525ad71a25374ff7"}, + {file = "starlette-0.41.3.tar.gz", hash = "sha256:0e4ab3d16522a255be6b28260b938eae2482f98ce5cc934cb08dce8dc3ba5835"}, +] + +[package.dependencies] +anyio = ">=3.4.0,<5" + +[package.extras] +full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"] + +[[package]] +name = "tenacity" +version = "8.5.0" +description = "Retry code until it succeeds" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"}, + {file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"}, +] + +[package.extras] +doc = ["reno", "sphinx"] +test = ["pytest", "tornado (>=4.5)", "typeguard"] + +[[package]] +name = "tiktoken" +version = "0.8.0" +description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "tiktoken-0.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b07e33283463089c81ef1467180e3e00ab00d46c2c4bbcef0acab5f771d6695e"}, + {file = "tiktoken-0.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9269348cb650726f44dd3bbb3f9110ac19a8dcc8f54949ad3ef652ca22a38e21"}, + {file = "tiktoken-0.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25e13f37bc4ef2d012731e93e0fef21dc3b7aea5bb9009618de9a4026844e560"}, + {file = "tiktoken-0.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f13d13c981511331eac0d01a59b5df7c0d4060a8be1e378672822213da51e0a2"}, + {file = "tiktoken-0.8.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:6b2ddbc79a22621ce8b1166afa9f9a888a664a579350dc7c09346a3b5de837d9"}, + {file = "tiktoken-0.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:d8c2d0e5ba6453a290b86cd65fc51fedf247e1ba170191715b049dac1f628005"}, + {file = "tiktoken-0.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d622d8011e6d6f239297efa42a2657043aaed06c4f68833550cac9e9bc723ef1"}, + {file = "tiktoken-0.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2efaf6199717b4485031b4d6edb94075e4d79177a172f38dd934d911b588d54a"}, + {file = "tiktoken-0.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5637e425ce1fc49cf716d88df3092048359a4b3bbb7da762840426e937ada06d"}, + {file = "tiktoken-0.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fb0e352d1dbe15aba082883058b3cce9e48d33101bdaac1eccf66424feb5b47"}, + {file = "tiktoken-0.8.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:56edfefe896c8f10aba372ab5706b9e3558e78db39dd497c940b47bf228bc419"}, + {file = "tiktoken-0.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:326624128590def898775b722ccc327e90b073714227175ea8febbc920ac0a99"}, + {file = "tiktoken-0.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:881839cfeae051b3628d9823b2e56b5cc93a9e2efb435f4cf15f17dc45f21586"}, + {file = "tiktoken-0.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fe9399bdc3f29d428f16a2f86c3c8ec20be3eac5f53693ce4980371c3245729b"}, + {file = "tiktoken-0.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9a58deb7075d5b69237a3ff4bb51a726670419db6ea62bdcd8bd80c78497d7ab"}, + {file = "tiktoken-0.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2908c0d043a7d03ebd80347266b0e58440bdef5564f84f4d29fb235b5df3b04"}, + {file = "tiktoken-0.8.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:294440d21a2a51e12d4238e68a5972095534fe9878be57d905c476017bff99fc"}, + {file = "tiktoken-0.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:d8f3192733ac4d77977432947d563d7e1b310b96497acd3c196c9bddb36ed9db"}, + {file = "tiktoken-0.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:02be1666096aff7da6cbd7cdaa8e7917bfed3467cd64b38b1f112e96d3b06a24"}, + {file = "tiktoken-0.8.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c94ff53c5c74b535b2cbf431d907fc13c678bbd009ee633a2aca269a04389f9a"}, + {file = "tiktoken-0.8.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b231f5e8982c245ee3065cd84a4712d64692348bc609d84467c57b4b72dcbc5"}, + {file = "tiktoken-0.8.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4177faa809bd55f699e88c96d9bb4635d22e3f59d635ba6fd9ffedf7150b9953"}, + {file = "tiktoken-0.8.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5376b6f8dc4753cd81ead935c5f518fa0fbe7e133d9e25f648d8c4dabdd4bad7"}, + {file = "tiktoken-0.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:18228d624807d66c87acd8f25fc135665617cab220671eb65b50f5d70fa51f69"}, + {file = "tiktoken-0.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7e17807445f0cf1f25771c9d86496bd8b5c376f7419912519699f3cc4dc5c12e"}, + {file = "tiktoken-0.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:886f80bd339578bbdba6ed6d0567a0d5c6cfe198d9e587ba6c447654c65b8edc"}, + {file = "tiktoken-0.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6adc8323016d7758d6de7313527f755b0fc6c72985b7d9291be5d96d73ecd1e1"}, + {file = "tiktoken-0.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b591fb2b30d6a72121a80be24ec7a0e9eb51c5500ddc7e4c2496516dd5e3816b"}, + {file = "tiktoken-0.8.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:845287b9798e476b4d762c3ebda5102be87ca26e5d2c9854002825d60cdb815d"}, + {file = "tiktoken-0.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:1473cfe584252dc3fa62adceb5b1c763c1874e04511b197da4e6de51d6ce5a02"}, + {file = "tiktoken-0.8.0.tar.gz", hash = "sha256:9ccbb2740f24542534369c5635cfd9b2b3c2490754a78ac8831d99f89f94eeb2"}, +] + +[package.dependencies] +regex = ">=2022.1.18" +requests = ">=2.26.0" + +[package.extras] +blobfile = ["blobfile (>=2)"] + +[[package]] +name = "tomlkit" +version = "0.13.2" +description = "Style preserving TOML library" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"}, + {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"}, +] + +[[package]] +name = "tqdm" +version = "4.67.1" +description = "Fast, Extensible Progress Meter" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, + {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[package.extras] +dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"] +discord = ["requests"] +notebook = ["ipywidgets (>=6)"] +slack = ["slack-sdk"] +telegram = ["requests"] + +[[package]] +name = "typer" +version = "0.15.1" +description = "Typer, build great CLIs. Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "typer-0.15.1-py3-none-any.whl", hash = "sha256:7994fb7b8155b64d3402518560648446072864beefd44aa2dc36972a5972e847"}, + {file = "typer-0.15.1.tar.gz", hash = "sha256:a0588c0a7fa68a1978a069818657778f86abe6ff5ea6abf472f940a08bfe4f0a"}, +] + +[package.dependencies] +click = ">=8.0.0" +rich = ">=10.11.0" +shellingham = ">=1.3.0" +typing-extensions = ">=3.7.4.3" + +[[package]] +name = "typing-extensions" +version = "4.12.2" +description = "Backported and Experimental Type Hints for Python 3.8+" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"}, + {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}, +] + +[[package]] +name = "tzdata" +version = "2024.2" +description = "Provider of IANA time zone data" +optional = false +python-versions = ">=2" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"}, + {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"}, +] + +[[package]] +name = "tzlocal" +version = "5.2" +description = "tzinfo object for the local timezone" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"}, + {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"}, +] + +[package.dependencies] +tzdata = {version = "*", markers = "platform_system == \"Windows\""} + +[package.extras] +devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"] + +[[package]] +name = "urllib3" +version = "2.2.3" +description = "HTTP library with thread-safe connection pooling, file post, and more." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"}, + {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"}, +] + +[package.extras] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +h2 = ["h2 (>=4,<5)"] +socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "uvicorn" +version = "0.34.0" +description = "The lightning-fast ASGI server." +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\" and sys_platform != \"emscripten\"" +files = [ + {file = "uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"}, + {file = "uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"}, +] + +[package.dependencies] +click = ">=7.0" +h11 = ">=0.8" +typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} + +[package.extras] +standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] + +[[package]] +name = "wcwidth" +version = "0.2.13" +description = "Measures the displayed width of unicode strings in a terminal" +optional = false +python-versions = "*" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, + {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, +] + +[[package]] +name = "websockets" +version = "14.1" +description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "websockets-14.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a0adf84bc2e7c86e8a202537b4fd50e6f7f0e4a6b6bf64d7ccb96c4cd3330b29"}, + {file = "websockets-14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90b5d9dfbb6d07a84ed3e696012610b6da074d97453bd01e0e30744b472c8179"}, + {file = "websockets-14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2177ee3901075167f01c5e335a6685e71b162a54a89a56001f1c3e9e3d2ad250"}, + {file = "websockets-14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f14a96a0034a27f9d47fd9788913924c89612225878f8078bb9d55f859272b0"}, + {file = "websockets-14.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f874ba705deea77bcf64a9da42c1f5fc2466d8f14daf410bc7d4ceae0a9fcb0"}, + {file = "websockets-14.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9607b9a442392e690a57909c362811184ea429585a71061cd5d3c2b98065c199"}, + {file = "websockets-14.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:bea45f19b7ca000380fbd4e02552be86343080120d074b87f25593ce1700ad58"}, + {file = "websockets-14.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:219c8187b3ceeadbf2afcf0f25a4918d02da7b944d703b97d12fb01510869078"}, + {file = "websockets-14.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ad2ab2547761d79926effe63de21479dfaf29834c50f98c4bf5b5480b5838434"}, + {file = "websockets-14.1-cp310-cp310-win32.whl", hash = "sha256:1288369a6a84e81b90da5dbed48610cd7e5d60af62df9851ed1d1d23a9069f10"}, + {file = "websockets-14.1-cp310-cp310-win_amd64.whl", hash = "sha256:e0744623852f1497d825a49a99bfbec9bea4f3f946df6eb9d8a2f0c37a2fec2e"}, + {file = "websockets-14.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:449d77d636f8d9c17952628cc7e3b8faf6e92a17ec581ec0c0256300717e1512"}, + {file = "websockets-14.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a35f704be14768cea9790d921c2c1cc4fc52700410b1c10948511039be824aac"}, + {file = "websockets-14.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b1f3628a0510bd58968c0f60447e7a692933589b791a6b572fcef374053ca280"}, + {file = "websockets-14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c3deac3748ec73ef24fc7be0b68220d14d47d6647d2f85b2771cb35ea847aa1"}, + {file = "websockets-14.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7048eb4415d46368ef29d32133134c513f507fff7d953c18c91104738a68c3b3"}, + {file = "websockets-14.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6cf0ad281c979306a6a34242b371e90e891bce504509fb6bb5246bbbf31e7b6"}, + {file = "websockets-14.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:cc1fc87428c1d18b643479caa7b15db7d544652e5bf610513d4a3478dbe823d0"}, + {file = "websockets-14.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:f95ba34d71e2fa0c5d225bde3b3bdb152e957150100e75c86bc7f3964c450d89"}, + {file = "websockets-14.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9481a6de29105d73cf4515f2bef8eb71e17ac184c19d0b9918a3701c6c9c4f23"}, + {file = "websockets-14.1-cp311-cp311-win32.whl", hash = "sha256:368a05465f49c5949e27afd6fbe0a77ce53082185bbb2ac096a3a8afaf4de52e"}, + {file = "websockets-14.1-cp311-cp311-win_amd64.whl", hash = "sha256:6d24fc337fc055c9e83414c94e1ee0dee902a486d19d2a7f0929e49d7d604b09"}, + {file = "websockets-14.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:ed907449fe5e021933e46a3e65d651f641975a768d0649fee59f10c2985529ed"}, + {file = "websockets-14.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:87e31011b5c14a33b29f17eb48932e63e1dcd3fa31d72209848652310d3d1f0d"}, + {file = "websockets-14.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:bc6ccf7d54c02ae47a48ddf9414c54d48af9c01076a2e1023e3b486b6e72c707"}, + {file = "websockets-14.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9777564c0a72a1d457f0848977a1cbe15cfa75fa2f67ce267441e465717dcf1a"}, + {file = "websockets-14.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a655bde548ca98f55b43711b0ceefd2a88a71af6350b0c168aa77562104f3f45"}, + {file = "websockets-14.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3dfff83ca578cada2d19e665e9c8368e1598d4e787422a460ec70e531dbdd58"}, + {file = "websockets-14.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6a6c9bcf7cdc0fd41cc7b7944447982e8acfd9f0d560ea6d6845428ed0562058"}, + {file = "websockets-14.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:4b6caec8576e760f2c7dd878ba817653144d5f369200b6ddf9771d64385b84d4"}, + {file = "websockets-14.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:eb6d38971c800ff02e4a6afd791bbe3b923a9a57ca9aeab7314c21c84bf9ff05"}, + {file = "websockets-14.1-cp312-cp312-win32.whl", hash = "sha256:1d045cbe1358d76b24d5e20e7b1878efe578d9897a25c24e6006eef788c0fdf0"}, + {file = "websockets-14.1-cp312-cp312-win_amd64.whl", hash = "sha256:90f4c7a069c733d95c308380aae314f2cb45bd8a904fb03eb36d1a4983a4993f"}, + {file = "websockets-14.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:3630b670d5057cd9e08b9c4dab6493670e8e762a24c2c94ef312783870736ab9"}, + {file = "websockets-14.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:36ebd71db3b89e1f7b1a5deaa341a654852c3518ea7a8ddfdf69cc66acc2db1b"}, + {file = "websockets-14.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5b918d288958dc3fa1c5a0b9aa3256cb2b2b84c54407f4813c45d52267600cd3"}, + {file = "websockets-14.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00fe5da3f037041da1ee0cf8e308374e236883f9842c7c465aa65098b1c9af59"}, + {file = "websockets-14.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8149a0f5a72ca36720981418eeffeb5c2729ea55fa179091c81a0910a114a5d2"}, + {file = "websockets-14.1-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:77569d19a13015e840b81550922056acabc25e3f52782625bc6843cfa034e1da"}, + {file = "websockets-14.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:cf5201a04550136ef870aa60ad3d29d2a59e452a7f96b94193bee6d73b8ad9a9"}, + {file = "websockets-14.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:88cf9163ef674b5be5736a584c999e98daf3aabac6e536e43286eb74c126b9c7"}, + {file = "websockets-14.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:836bef7ae338a072e9d1863502026f01b14027250a4545672673057997d5c05a"}, + {file = "websockets-14.1-cp313-cp313-win32.whl", hash = "sha256:0d4290d559d68288da9f444089fd82490c8d2744309113fc26e2da6e48b65da6"}, + {file = "websockets-14.1-cp313-cp313-win_amd64.whl", hash = "sha256:8621a07991add373c3c5c2cf89e1d277e49dc82ed72c75e3afc74bd0acc446f0"}, + {file = "websockets-14.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:01bb2d4f0a6d04538d3c5dfd27c0643269656c28045a53439cbf1c004f90897a"}, + {file = "websockets-14.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:414ffe86f4d6f434a8c3b7913655a1a5383b617f9bf38720e7c0799fac3ab1c6"}, + {file = "websockets-14.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8fda642151d5affdee8a430bd85496f2e2517be3a2b9d2484d633d5712b15c56"}, + {file = "websockets-14.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd7c11968bc3860d5c78577f0dbc535257ccec41750675d58d8dc66aa47fe52c"}, + {file = "websockets-14.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a032855dc7db987dff813583d04f4950d14326665d7e714d584560b140ae6b8b"}, + {file = "websockets-14.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7e7ea2f782408c32d86b87a0d2c1fd8871b0399dd762364c731d86c86069a78"}, + {file = "websockets-14.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:39450e6215f7d9f6f7bc2a6da21d79374729f5d052333da4d5825af8a97e6735"}, + {file = "websockets-14.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ceada5be22fa5a5a4cdeec74e761c2ee7db287208f54c718f2df4b7e200b8d4a"}, + {file = "websockets-14.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:3fc753451d471cff90b8f467a1fc0ae64031cf2d81b7b34e1811b7e2691bc4bc"}, + {file = "websockets-14.1-cp39-cp39-win32.whl", hash = "sha256:14839f54786987ccd9d03ed7f334baec0f02272e7ec4f6e9d427ff584aeea8b4"}, + {file = "websockets-14.1-cp39-cp39-win_amd64.whl", hash = "sha256:d9fd19ecc3a4d5ae82ddbfb30962cf6d874ff943e56e0c81f5169be2fda62979"}, + {file = "websockets-14.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:e5dc25a9dbd1a7f61eca4b7cb04e74ae4b963d658f9e4f9aad9cd00b688692c8"}, + {file = "websockets-14.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:04a97aca96ca2acedf0d1f332c861c5a4486fdcba7bcef35873820f940c4231e"}, + {file = "websockets-14.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df174ece723b228d3e8734a6f2a6febbd413ddec39b3dc592f5a4aa0aff28098"}, + {file = "websockets-14.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:034feb9f4286476f273b9a245fb15f02c34d9586a5bc936aff108c3ba1b21beb"}, + {file = "websockets-14.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:660c308dabd2b380807ab64b62985eaccf923a78ebc572bd485375b9ca2b7dc7"}, + {file = "websockets-14.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:5a42d3ecbb2db5080fc578314439b1d79eef71d323dc661aa616fb492436af5d"}, + {file = "websockets-14.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ddaa4a390af911da6f680be8be4ff5aaf31c4c834c1a9147bc21cbcbca2d4370"}, + {file = "websockets-14.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:a4c805c6034206143fbabd2d259ec5e757f8b29d0a2f0bf3d2fe5d1f60147a4a"}, + {file = "websockets-14.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:205f672a6c2c671a86d33f6d47c9b35781a998728d2c7c2a3e1cf3333fcb62b7"}, + {file = "websockets-14.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5ef440054124728cc49b01c33469de06755e5a7a4e83ef61934ad95fc327fbb0"}, + {file = "websockets-14.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7591d6f440af7f73c4bd9404f3772bfee064e639d2b6cc8c94076e71b2471c1"}, + {file = "websockets-14.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:25225cc79cfebc95ba1d24cd3ab86aaa35bcd315d12fa4358939bd55e9bd74a5"}, + {file = "websockets-14.1-py3-none-any.whl", hash = "sha256:4d4fc827a20abe6d544a119896f6b78ee13fe81cbfef416f3f2ddf09a03f0e2e"}, + {file = "websockets-14.1.tar.gz", hash = "sha256:398b10c77d471c0aab20a845e7a60076b6390bfdaac7a6d2edb0d2c59d75e8d8"}, +] + +[[package]] +name = "yarl" +version = "1.18.3" +description = "Yet another URL library" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version <= \"3.11\"" +files = [ + {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34"}, + {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7"}, + {file = "yarl-1.18.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:602d98f2c2d929f8e697ed274fbadc09902c4025c5a9963bf4e9edfc3ab6f7ed"}, + {file = "yarl-1.18.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c654d5207c78e0bd6d749f6dae1dcbbfde3403ad3a4b11f3c5544d9906969dde"}, + {file = "yarl-1.18.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5094d9206c64181d0f6e76ebd8fb2f8fe274950a63890ee9e0ebfd58bf9d787b"}, + {file = "yarl-1.18.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35098b24e0327fc4ebdc8ffe336cee0a87a700c24ffed13161af80124b7dc8e5"}, + {file = "yarl-1.18.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3236da9272872443f81fedc389bace88408f64f89f75d1bdb2256069a8730ccc"}, + {file = "yarl-1.18.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e2c08cc9b16f4f4bc522771d96734c7901e7ebef70c6c5c35dd0f10845270bcd"}, + {file = "yarl-1.18.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:80316a8bd5109320d38eef8833ccf5f89608c9107d02d2a7f985f98ed6876990"}, + {file = "yarl-1.18.3-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:c1e1cc06da1491e6734f0ea1e6294ce00792193c463350626571c287c9a704db"}, + {file = "yarl-1.18.3-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:fea09ca13323376a2fdfb353a5fa2e59f90cd18d7ca4eaa1fd31f0a8b4f91e62"}, + {file = "yarl-1.18.3-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:e3b9fd71836999aad54084906f8663dffcd2a7fb5cdafd6c37713b2e72be1760"}, + {file = "yarl-1.18.3-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:757e81cae69244257d125ff31663249b3013b5dc0a8520d73694aed497fb195b"}, + {file = "yarl-1.18.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b1771de9944d875f1b98a745bc547e684b863abf8f8287da8466cf470ef52690"}, + {file = "yarl-1.18.3-cp310-cp310-win32.whl", hash = "sha256:8874027a53e3aea659a6d62751800cf6e63314c160fd607489ba5c2edd753cf6"}, + {file = "yarl-1.18.3-cp310-cp310-win_amd64.whl", hash = "sha256:93b2e109287f93db79210f86deb6b9bbb81ac32fc97236b16f7433db7fc437d8"}, + {file = "yarl-1.18.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:8503ad47387b8ebd39cbbbdf0bf113e17330ffd339ba1144074da24c545f0069"}, + {file = "yarl-1.18.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:02ddb6756f8f4517a2d5e99d8b2f272488e18dd0bfbc802f31c16c6c20f22193"}, + {file = "yarl-1.18.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:67a283dd2882ac98cc6318384f565bffc751ab564605959df4752d42483ad889"}, + {file = "yarl-1.18.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d980e0325b6eddc81331d3f4551e2a333999fb176fd153e075c6d1c2530aa8a8"}, + {file = "yarl-1.18.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b643562c12680b01e17239be267bc306bbc6aac1f34f6444d1bded0c5ce438ca"}, + {file = "yarl-1.18.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c017a3b6df3a1bd45b9fa49a0f54005e53fbcad16633870104b66fa1a30a29d8"}, + {file = "yarl-1.18.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75674776d96d7b851b6498f17824ba17849d790a44d282929c42dbb77d4f17ae"}, + {file = "yarl-1.18.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ccaa3a4b521b780a7e771cc336a2dba389a0861592bbce09a476190bb0c8b4b3"}, + {file = "yarl-1.18.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2d06d3005e668744e11ed80812e61efd77d70bb7f03e33c1598c301eea20efbb"}, + {file = "yarl-1.18.3-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:9d41beda9dc97ca9ab0b9888cb71f7539124bc05df02c0cff6e5acc5a19dcc6e"}, + {file = "yarl-1.18.3-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:ba23302c0c61a9999784e73809427c9dbedd79f66a13d84ad1b1943802eaaf59"}, + {file = "yarl-1.18.3-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:6748dbf9bfa5ba1afcc7556b71cda0d7ce5f24768043a02a58846e4a443d808d"}, + {file = "yarl-1.18.3-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:0b0cad37311123211dc91eadcb322ef4d4a66008d3e1bdc404808992260e1a0e"}, + {file = "yarl-1.18.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0fb2171a4486bb075316ee754c6d8382ea6eb8b399d4ec62fde2b591f879778a"}, + {file = "yarl-1.18.3-cp311-cp311-win32.whl", hash = "sha256:61b1a825a13bef4a5f10b1885245377d3cd0bf87cba068e1d9a88c2ae36880e1"}, + {file = "yarl-1.18.3-cp311-cp311-win_amd64.whl", hash = "sha256:b9d60031cf568c627d028239693fd718025719c02c9f55df0a53e587aab951b5"}, + {file = "yarl-1.18.3-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:1dd4bdd05407ced96fed3d7f25dbbf88d2ffb045a0db60dbc247f5b3c5c25d50"}, + {file = "yarl-1.18.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7c33dd1931a95e5d9a772d0ac5e44cac8957eaf58e3c8da8c1414de7dd27c576"}, + {file = "yarl-1.18.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:25b411eddcfd56a2f0cd6a384e9f4f7aa3efee14b188de13048c25b5e91f1640"}, + {file = "yarl-1.18.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:436c4fc0a4d66b2badc6c5fc5ef4e47bb10e4fd9bf0c79524ac719a01f3607c2"}, + {file = "yarl-1.18.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e35ef8683211db69ffe129a25d5634319a677570ab6b2eba4afa860f54eeaf75"}, + {file = "yarl-1.18.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:84b2deecba4a3f1a398df819151eb72d29bfeb3b69abb145a00ddc8d30094512"}, + {file = "yarl-1.18.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00e5a1fea0fd4f5bfa7440a47eff01d9822a65b4488f7cff83155a0f31a2ecba"}, + {file = "yarl-1.18.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d0e883008013c0e4aef84dcfe2a0b172c4d23c2669412cf5b3371003941f72bb"}, + {file = "yarl-1.18.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:5a3f356548e34a70b0172d8890006c37be92995f62d95a07b4a42e90fba54272"}, + {file = "yarl-1.18.3-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:ccd17349166b1bee6e529b4add61727d3f55edb7babbe4069b5764c9587a8cc6"}, + {file = "yarl-1.18.3-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b958ddd075ddba5b09bb0be8a6d9906d2ce933aee81100db289badbeb966f54e"}, + {file = "yarl-1.18.3-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:c7d79f7d9aabd6011004e33b22bc13056a3e3fb54794d138af57f5ee9d9032cb"}, + {file = "yarl-1.18.3-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:4891ed92157e5430874dad17b15eb1fda57627710756c27422200c52d8a4e393"}, + {file = "yarl-1.18.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ce1af883b94304f493698b00d0f006d56aea98aeb49d75ec7d98cd4a777e9285"}, + {file = "yarl-1.18.3-cp312-cp312-win32.whl", hash = "sha256:f91c4803173928a25e1a55b943c81f55b8872f0018be83e3ad4938adffb77dd2"}, + {file = "yarl-1.18.3-cp312-cp312-win_amd64.whl", hash = "sha256:7e2ee16578af3b52ac2f334c3b1f92262f47e02cc6193c598502bd46f5cd1477"}, + {file = "yarl-1.18.3-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:90adb47ad432332d4f0bc28f83a5963f426ce9a1a8809f5e584e704b82685dcb"}, + {file = "yarl-1.18.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:913829534200eb0f789d45349e55203a091f45c37a2674678744ae52fae23efa"}, + {file = "yarl-1.18.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:ef9f7768395923c3039055c14334ba4d926f3baf7b776c923c93d80195624782"}, + {file = "yarl-1.18.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88a19f62ff30117e706ebc9090b8ecc79aeb77d0b1f5ec10d2d27a12bc9f66d0"}, + {file = "yarl-1.18.3-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e17c9361d46a4d5addf777c6dd5eab0715a7684c2f11b88c67ac37edfba6c482"}, + {file = "yarl-1.18.3-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1a74a13a4c857a84a845505fd2d68e54826a2cd01935a96efb1e9d86c728e186"}, + {file = "yarl-1.18.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41f7ce59d6ee7741af71d82020346af364949314ed3d87553763a2df1829cc58"}, + {file = "yarl-1.18.3-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f52a265001d830bc425f82ca9eabda94a64a4d753b07d623a9f2863fde532b53"}, + {file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:82123d0c954dc58db301f5021a01854a85bf1f3bb7d12ae0c01afc414a882ca2"}, + {file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:2ec9bbba33b2d00999af4631a3397d1fd78290c48e2a3e52d8dd72db3a067ac8"}, + {file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:fbd6748e8ab9b41171bb95c6142faf068f5ef1511935a0aa07025438dd9a9bc1"}, + {file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:877d209b6aebeb5b16c42cbb377f5f94d9e556626b1bfff66d7b0d115be88d0a"}, + {file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:b464c4ab4bfcb41e3bfd3f1c26600d038376c2de3297760dfe064d2cb7ea8e10"}, + {file = "yarl-1.18.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8d39d351e7faf01483cc7ff7c0213c412e38e5a340238826be7e0e4da450fdc8"}, + {file = "yarl-1.18.3-cp313-cp313-win32.whl", hash = "sha256:61ee62ead9b68b9123ec24bc866cbef297dd266175d53296e2db5e7f797f902d"}, + {file = "yarl-1.18.3-cp313-cp313-win_amd64.whl", hash = "sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c"}, + {file = "yarl-1.18.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:61e5e68cb65ac8f547f6b5ef933f510134a6bf31bb178be428994b0cb46c2a04"}, + {file = "yarl-1.18.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fe57328fbc1bfd0bd0514470ac692630f3901c0ee39052ae47acd1d90a436719"}, + {file = "yarl-1.18.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a440a2a624683108a1b454705ecd7afc1c3438a08e890a1513d468671d90a04e"}, + {file = "yarl-1.18.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09c7907c8548bcd6ab860e5f513e727c53b4a714f459b084f6580b49fa1b9cee"}, + {file = "yarl-1.18.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b4f6450109834af88cb4cc5ecddfc5380ebb9c228695afc11915a0bf82116789"}, + {file = "yarl-1.18.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9ca04806f3be0ac6d558fffc2fdf8fcef767e0489d2684a21912cc4ed0cd1b8"}, + {file = "yarl-1.18.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:77a6e85b90a7641d2e07184df5557132a337f136250caafc9ccaa4a2a998ca2c"}, + {file = "yarl-1.18.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6333c5a377c8e2f5fae35e7b8f145c617b02c939d04110c76f29ee3676b5f9a5"}, + {file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0b3c92fa08759dbf12b3a59579a4096ba9af8dd344d9a813fc7f5070d86bbab1"}, + {file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:4ac515b860c36becb81bb84b667466885096b5fc85596948548b667da3bf9f24"}, + {file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:045b8482ce9483ada4f3f23b3774f4e1bf4f23a2d5c912ed5170f68efb053318"}, + {file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:a4bb030cf46a434ec0225bddbebd4b89e6471814ca851abb8696170adb163985"}, + {file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:54d6921f07555713b9300bee9c50fb46e57e2e639027089b1d795ecd9f7fa910"}, + {file = "yarl-1.18.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1d407181cfa6e70077df3377938c08012d18893f9f20e92f7d2f314a437c30b1"}, + {file = "yarl-1.18.3-cp39-cp39-win32.whl", hash = "sha256:ac36703a585e0929b032fbaab0707b75dc12703766d0b53486eabd5139ebadd5"}, + {file = "yarl-1.18.3-cp39-cp39-win_amd64.whl", hash = "sha256:ba87babd629f8af77f557b61e49e7c7cac36f22f871156b91e10a6e9d4f829e9"}, + {file = "yarl-1.18.3-py3-none-any.whl", hash = "sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b"}, + {file = "yarl-1.18.3.tar.gz", hash = "sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1"}, +] + +[package.dependencies] +idna = ">=2.0" +multidict = ">=4.0" +propcache = ">=0.2.0" + +[metadata] +lock-version = "2.1" +python-versions = "^3.10,<3.12" +content-hash = "d6c44c529a73d5ddeb8429b23e06bb944c13e3c4de5d1cc76b65f9fedd919108" diff --git a/hugegraph-llm/pyproject.toml b/hugegraph-llm/pyproject.toml new file mode 100644 index 000000000..4829648d3 --- /dev/null +++ b/hugegraph-llm/pyproject.toml @@ -0,0 +1,87 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +[project] +name = "hugegraph-llm" +version = "1.5.0" +description = "A tool for the implementation and research related to large language models." +authors = [ + { name = "Apache HugeGraph Contributors", email = "dev@hugegraph.apache.org" }, +] +readme = "README.md" +license = "Apache-2.0" +requires-python = "^3.10" +maintainers = [ + { name = "Apache HugeGraph Contributors", email = "dev@hugegraph.apache.org" }, +] + +[project.urls] +homepage = "https://hugegraph.apache.org/" +repository = "https://github.com/apache/incubator-hugegraph-ai" +documentation = "https://hugegraph.apache.org/docs/quickstart/hugegraph-ai/" +"Bug Tracker" = "https://github.com/apache/incubator-hugegraph-ai/issues" + + +[tool.poetry.dependencies] +python = "^3.10,<3.12" +openai = "~1.47.1" +ollama = "~0.2.1" +qianfan = "~0.3.18" +retry = "~0.9.2" +tiktoken = ">=0.7.0" +nltk = "~3.9.1" +gradio = ">=5.0.0" +jieba = ">=0.42.1" +numpy = "~1.24.4" +python-docx = "~1.1.2" +langchain-text-splitters = "~0.2.2" +faiss-cpu = "~1.8.0" +python-dotenv = ">=1.0.1" +pyarrow = "~17.0.0" +pandas = "<2.2.2" +openpyxl = "~3.1.5" +pydantic-settings = "~2.6.1" +decorator = "~5.1.1" +requests = "~2.32.0" +setuptools = "~70.0.0" +urllib3 = "~2.2.2" +rich = "~13.9.4" +apscheduler= "~3.10.4" +hugegraph-python = { path = "../hugegraph-python-client/", develop = true } + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[[tool.poetry.source]] +name = "pypi" +priority = "primary" + +[[tool.poetry.source]] +name = "aliyun" +url = "https://mirrors.aliyun.com/pypi/simple/" +priority = "supplemental" + +[[tool.poetry.source]] +name = "tencent" +url = "https://mirrors.cloud.tencent.com/pypi/simple/" +priority = "supplemental" + +[[tool.poetry.source]] +name = "tsinghua" +url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" +priority = "supplemental" diff --git a/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py b/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py index 8f55fa6d5..51d84a106 100644 --- a/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py +++ b/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py @@ -26,6 +26,7 @@ class PromptConfig(BasePromptConfig): Given the context information and without using fictive knowledge, answer the following query in a concise and professional manner. +Please write your answer using Markdown with MathJax syntax, where inline math is wrapped with `$...$` Context information is below. --------------------- @@ -179,30 +180,50 @@ class PromptConfig(BasePromptConfig): # """ gremlin_generate_prompt = """ -You are an expert in graph query language(Gremlin), your role is to understand the schema of the graph and generate -accurate Gremlin code based on the given instructions. - -# Graph Schema: -```json -{schema} -``` -# Rule: -1. Could use the vertex ID directly if it's given in the context. -2. The output format must be like: +You are an expert in graph query language (Gremlin). Your role is to understand the schema of the graph, recognize the intent behind user queries, and generate accurate Gremlin code based on the given instructions. + +### Tasks +## Complex Query Detection: +Assess the user’s query to determine its complexity based on the following criteria: + +1. Multiple Reasoning Steps: The query requires several logical steps to arrive at the final result. +2. Conditional Logic: The query includes multiple conditions or filters that depend on each other. +3. Nested Queries: The query contains sub-queries or nested logical statements. +4. High-Level Abstractions: The query requests high-level summaries or insights that require intricate data manipulation. + +# Examples of Complex Queries: +“Retrieve all users who have posted more than five articles and have at least two comments with a positive sentiment score.” +“Calculate the average response time of servers in each data center and identify which data centers are below the required performance threshold after the latest update.” + +# Rules +- **Complex Query Handling**: + - **Detection**: If the user's query meets **any** of the complexity criteria listed above, it is considered **complex**. + - **Response**: For complex queries, **do not** proceed to Gremlin Query Generation. Instead, directly return the following Gremlin query: + ```gremlin + g.V().limit(0) + ``` +- **Simple Query Handling**: + - If the query does **not** meet any of the complexity criteria, it is considered **simple**. + - Proceed to the Gremlin Query Generation task as outlined below. + +## Gremlin Query Generation (Executed only if the query is not complex): +# Rules +You may use the vertex ID directly if it’s provided in the context. +The output format must be as follows: ```gremlin g.V().limit(10) ``` +Graph Schema: +{schema} +Refer Gremlin Example Pair: +{example} -# Extracted vertex vid: +Referenced Extracted Vertex IDs Related to the Query: {vertices} -# Given the example query-gremlin pairs: -{example} - -# Generate gremlin from the following user query. +Generate Gremlin from the Following User Query: {query} - -The generated gremlin is: +The generated Gremlin is: """ doc_input_text: str = """Meet Sarah, a 30-year-old attorney, and her roommate, James, whom she's shared a home with since 2010. diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py index 822b080c3..ba2ab7e79 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py @@ -42,7 +42,7 @@ def rag_answer( answer_prompt: str, keywords_extract_prompt: str, gremlin_tmpl_num: Optional[int] = 2, - gremlin_prompt: Optional[str] = prompt.gremlin_generate_prompt, + gremlin_prompt: Optional[str] = None, ) -> Tuple: """ Generate an answer using the RAG (Retrieval-Augmented Generation) pipeline. @@ -52,13 +52,16 @@ def rag_answer( 4. Synthesize the final answer. 5. Run the pipeline and return the results. """ + + gremlin_prompt = gremlin_prompt or prompt.gremlin_generate_prompt should_update_prompt = ( prompt.default_question != text or prompt.answer_prompt != answer_prompt or prompt.keywords_extract_prompt != keywords_extract_prompt or prompt.gremlin_generate_prompt != gremlin_prompt + or prompt.custom_rerank_info != custom_related_information ) - if should_update_prompt or prompt.custom_rerank_info != custom_related_information: + if should_update_prompt: prompt.custom_rerank_info = custom_related_information prompt.default_question = text prompt.answer_prompt = answer_prompt @@ -109,15 +112,21 @@ def rag_answer( def create_rag_block(): - # pylint: disable=R0915 (too-many-statements) + # pylint: disable=R0915 (too-many-statements),C0301 gr.Markdown("""## 1. HugeGraph RAG Query""") with gr.Row(): with gr.Column(scale=2): - inp = gr.Textbox(value=prompt.default_question, label="Question", show_copy_button=True, lines=2) - raw_out = gr.Textbox(label="Basic LLM Answer", show_copy_button=True) - vector_only_out = gr.Textbox(label="Vector-only Answer", show_copy_button=True) - graph_only_out = gr.Textbox(label="Graph-only Answer", show_copy_button=True) - graph_vector_out = gr.Textbox(label="Graph-Vector Answer", show_copy_button=True) + inp = gr.Textbox(value=prompt.default_question, label="Question", show_copy_button=True, lines=3) + + # TODO: Only support inline formula now. Should support block formula + gr.Markdown("Basic LLM Answer", elem_classes="output-box-label") + raw_out = gr.Markdown(elem_classes="output-box", show_copy_button=True, latex_delimiters=[{"left":"$", "right":"$", "display":False}]) + gr.Markdown("Vector-only Answer", elem_classes="output-box-label") + vector_only_out = gr.Markdown(elem_classes="output-box", show_copy_button=True, latex_delimiters=[{"left":"$", "right":"$", "display":False}]) + gr.Markdown("Graph-only Answer", elem_classes="output-box-label") + graph_only_out = gr.Markdown(elem_classes="output-box", show_copy_button=True, latex_delimiters=[{"left":"$", "right":"$", "display":False}]) + gr.Markdown("Graph-Vector Answer", elem_classes="output-box-label") + graph_vector_out = gr.Markdown(elem_classes="output-box", show_copy_button=True, latex_delimiters=[{"left":"$", "right":"$", "display":False}]) answer_prompt_input = gr.Textbox( value=prompt.answer_prompt, label="Query Prompt", show_copy_button=True, lines=7 diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index c8ce907b6..b2bff4953 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -20,33 +20,49 @@ from typing import Any, Dict from tqdm import tqdm + from hugegraph_llm.config import resource_path, huge_settings -from hugegraph_llm.models.embeddings.base import BaseEmbedding from hugegraph_llm.indices.vector_index import VectorIndex +from hugegraph_llm.models.embeddings.base import BaseEmbedding from hugegraph_llm.utils.log import log - +from hugegraph_llm.operators.hugegraph_op.schema_manager import SchemaManager class BuildSemanticIndex: def __init__(self, embedding: BaseEmbedding): self.index_dir = str(os.path.join(resource_path, huge_settings.graph_name, "graph_vids")) self.vid_index = VectorIndex.from_index_file(self.index_dir) self.embedding = embedding + self.sm = SchemaManager(huge_settings.graph_name) + + def _extract_names(self, vertices: list[str]) -> list[str]: + return [v.split(":")[1] for v in vertices] + + # TODO: use asyncio for IO tasks + def _get_embeddings_parallel(self, vids: list[str]) -> list[Any]: + from concurrent.futures import ThreadPoolExecutor + with ThreadPoolExecutor() as executor: + embeddings = list(tqdm(executor.map(self.embedding.get_text_embedding, vids), total=len(vids))) + return embeddings def run(self, context: Dict[str, Any]) -> Dict[str, Any]: + vertexlabels = self.sm.schema.getSchema()["vertexlabels"] + all_pk_flag = all(data.get('id_strategy') == 'PRIMARY_KEY' for data in vertexlabels) + past_vids = self.vid_index.properties # TODO: We should build vid vector index separately, especially when the vertices may be very large present_vids = context["vertices"] # Warning: data truncated by fetch_graph_data.py removed_vids = set(past_vids) - set(present_vids) removed_num = self.vid_index.remove(removed_vids) added_vids = list(set(present_vids) - set(past_vids)) - if len(added_vids) > 0: - log.debug("Building vector index for %s vertices...", len(added_vids)) - added_embeddings = [self.embedding.get_text_embedding(v) for v in tqdm(added_vids)] - log.debug("Vector index built for %s vertices.", len(added_embeddings)) + + if added_vids: + vids_to_process = self._extract_names(added_vids) if all_pk_flag else added_vids + added_embeddings = self._get_embeddings_parallel(vids_to_process) + log.info("Building vector index for %s vertices...", len(added_vids)) self.vid_index.add(added_embeddings, added_vids) self.vid_index.to_index_file(self.index_dir) else: - log.debug("No vertices to build vector index.") + log.debug("No update vertices to build vector index.") context.update({ "removed_vid_vector_num": removed_num, "added_vid_vector_num": len(added_vids) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/gremlin_example_index_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/gremlin_example_index_query.py index 40299954a..31d9c2be1 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/gremlin_example_index_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/gremlin_example_index_query.py @@ -56,7 +56,12 @@ def _get_match_result(self, context: Dict[str, Any], query: str) -> List[Dict[st def _build_default_example_index(self): properties = pd.read_csv(os.path.join(resource_path, "demo", "text2gremlin.csv")).to_dict(orient="records") - embeddings = [self.embedding.get_text_embedding(row["query"]) for row in tqdm(properties)] + from concurrent.futures import ThreadPoolExecutor + # TODO: use asyncio for IO tasks + with ThreadPoolExecutor() as executor: + embeddings = list( + tqdm(executor.map(self.embedding.get_text_embedding, [row["query"] for row in properties]), + total=len(properties))) vector_index = VectorIndex(len(embeddings[0])) vector_index.add(embeddings, properties) vector_index.to_index_file(self.index_dir) diff --git a/hugegraph-llm/src/hugegraph_llm/resources/demo/css.py b/hugegraph-llm/src/hugegraph_llm/resources/demo/css.py index 117a068e5..0f2d48d53 100644 --- a/hugegraph-llm/src/hugegraph_llm/resources/demo/css.py +++ b/hugegraph-llm/src/hugegraph_llm/resources/demo/css.py @@ -38,4 +38,24 @@ white-space: -o-pre-wrap; /* Opera 7 */ word-wrap: break-word; /* Internet Explorer 5.5+ */ } + +.output-box { + border: 1px solid #ccc; + border-radius: 5px; + padding: 8px; + box-sizing: border-box; + min-height: 50px; + font-family: Arial, sans-serif; + line-height: 1.5; + margin-top: -5px; + width: 99.5%; + max-height: 300px; + overflow-y: auto; +} + +.output-box-label { + font-size: 14px; + font-weight: bold; + margin-bottom: -5px; +} """ From 12221c9e6bb7038d0432aa9159c9abf0afe380da Mon Sep 17 00:00:00 2001 From: imbajin Date: Mon, 20 Jan 2025 16:43:38 +0800 Subject: [PATCH 03/49] docs(client): update README.md --- hugegraph-python-client/README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/hugegraph-python-client/README.md b/hugegraph-python-client/README.md index b114559d8..1a378df8b 100644 --- a/hugegraph-python-client/README.md +++ b/hugegraph-python-client/README.md @@ -6,10 +6,10 @@ It is used to define graph structures, perform CRUD operations on graph data, ma ## Installation -To install the `hugegraph-python-client`, you can use pip: +To install the `hugegraph-python-client`, you can use pip/poetry/source building: ```bash -pip3 install hugegraph-python +pip3 install hugegraph-python # Note: may not the latest version, recommend to install from source ``` ### Install from Source (Latest Code) @@ -17,7 +17,7 @@ pip3 install hugegraph-python To install from the source, clone the repository and install the required dependencies: ```bash -git clone https://github.com/apache/incubator-hugegraph-ai.git +git clone xxxx # clone current repo cd path/to/hugegraph-python-client # Normal install From c9ef9ed4499ca95b8583bff14e7eef99d4fb1927 Mon Sep 17 00:00:00 2001 From: imbajin Date: Mon, 3 Mar 2025 17:07:18 +0800 Subject: [PATCH 04/49] fix(llm): enable concurrency config in rag answer --- hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py index 826188726..5e4651d44 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py @@ -200,6 +200,8 @@ def toggle_slider(enable): example_num, ], outputs=[raw_out, vector_only_out, graph_only_out, graph_vector_out], + queue=True, + concurrency_limit=5, ) gr.Markdown( From a60887dcb885811aefec00874b83161adc315b93 Mon Sep 17 00:00:00 2001 From: wenyuxuan Date: Mon, 10 Mar 2025 17:01:54 +0800 Subject: [PATCH 05/49] =?UTF-8?q?GraphPlatform-4765=20[Tech=20Task]=20verm?= =?UTF-8?q?eer-client=E6=A1=86=E6=9E=B6=E5=BC=80=E5=8F=91?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Change-Id: I8cb2139be06f63378f87bccd9035357a7cb7a91e --- vermeer-python-client/README.md | 26 ++ vermeer-python-client/requirements.txt | 6 + vermeer-python-client/setup.py | 29 +++ .../src/pyvermeer/__init__.py | 5 + .../src/pyvermeer/api/base.py | 29 +++ .../src/pyvermeer/api/graph.py | 28 ++ .../src/pyvermeer/api/master.py | 5 + .../src/pyvermeer/api/task.py | 38 +++ .../src/pyvermeer/api/worker.py | 5 + .../src/pyvermeer/client/__init__.py | 5 + .../src/pyvermeer/client/client.py | 52 ++++ .../src/pyvermeer/demo/task_demo.py | 42 +++ .../src/pyvermeer/structure/__init__.py | 5 + .../src/pyvermeer/structure/base_data.py | 39 +++ .../src/pyvermeer/structure/graph_data.py | 244 ++++++++++++++++++ .../src/pyvermeer/structure/master_data.py | 71 +++++ .../src/pyvermeer/structure/task_data.py | 215 +++++++++++++++ .../src/pyvermeer/structure/worker_data.py | 107 ++++++++ .../src/pyvermeer/utils/__init__.py | 5 + .../src/pyvermeer/utils/exception.py | 33 +++ .../src/pyvermeer/utils/log.py | 58 +++++ .../src/pyvermeer/utils/vermeer_config.py | 26 ++ .../src/pyvermeer/utils/vermeer_datetime.py | 21 ++ .../src/pyvermeer/utils/vermeer_requests.py | 104 ++++++++ 24 files changed, 1198 insertions(+) create mode 100644 vermeer-python-client/README.md create mode 100644 vermeer-python-client/requirements.txt create mode 100644 vermeer-python-client/setup.py create mode 100644 vermeer-python-client/src/pyvermeer/__init__.py create mode 100644 vermeer-python-client/src/pyvermeer/api/base.py create mode 100644 vermeer-python-client/src/pyvermeer/api/graph.py create mode 100644 vermeer-python-client/src/pyvermeer/api/master.py create mode 100644 vermeer-python-client/src/pyvermeer/api/task.py create mode 100644 vermeer-python-client/src/pyvermeer/api/worker.py create mode 100644 vermeer-python-client/src/pyvermeer/client/__init__.py create mode 100644 vermeer-python-client/src/pyvermeer/client/client.py create mode 100644 vermeer-python-client/src/pyvermeer/demo/task_demo.py create mode 100644 vermeer-python-client/src/pyvermeer/structure/__init__.py create mode 100644 vermeer-python-client/src/pyvermeer/structure/base_data.py create mode 100644 vermeer-python-client/src/pyvermeer/structure/graph_data.py create mode 100644 vermeer-python-client/src/pyvermeer/structure/master_data.py create mode 100644 vermeer-python-client/src/pyvermeer/structure/task_data.py create mode 100644 vermeer-python-client/src/pyvermeer/structure/worker_data.py create mode 100644 vermeer-python-client/src/pyvermeer/utils/__init__.py create mode 100644 vermeer-python-client/src/pyvermeer/utils/exception.py create mode 100644 vermeer-python-client/src/pyvermeer/utils/log.py create mode 100644 vermeer-python-client/src/pyvermeer/utils/vermeer_config.py create mode 100644 vermeer-python-client/src/pyvermeer/utils/vermeer_datetime.py create mode 100644 vermeer-python-client/src/pyvermeer/utils/vermeer_requests.py diff --git a/vermeer-python-client/README.md b/vermeer-python-client/README.md new file mode 100644 index 000000000..7eec5a866 --- /dev/null +++ b/vermeer-python-client/README.md @@ -0,0 +1,26 @@ +# vermeer-python-client + +The `vermeer-python-client` is a Python client(SDK) for Vermeer. + + +## Installation + +To install the `vermeer-python-client`, you can use pip/poetry/source building: + +```bash +#todo +``` + +### Install from Source (Latest Code) + +To install from the source, clone the repository and install the required dependencies: + +```bash +#todo +``` + +## Usage + +```bash +#todo +``` \ No newline at end of file diff --git a/vermeer-python-client/requirements.txt b/vermeer-python-client/requirements.txt new file mode 100644 index 000000000..75f1d244b --- /dev/null +++ b/vermeer-python-client/requirements.txt @@ -0,0 +1,6 @@ +decorator~=5.1.1 +requests~=2.32.0 +setuptools~=70.0.0 +urllib3~=2.2.2 +rich~=13.9.4 +python-dateutil~=2.9.0 \ No newline at end of file diff --git a/vermeer-python-client/setup.py b/vermeer-python-client/setup.py new file mode 100644 index 000000000..ad53fbb17 --- /dev/null +++ b/vermeer-python-client/setup.py @@ -0,0 +1,29 @@ +# !/usr/bin/env python3 +""" +file:setup.py +author: wenyuxuan@baidu.com +""" +import setuptools +from pkg_resources import parse_requirements + +with open("README.md", "r", encoding="utf-8") as fh: + long_description = fh.read() + +with open("requirements.txt", encoding="utf-8") as fp: + install_requires = [str(requirement) for requirement in parse_requirements(fp)] + +setuptools.setup( + name="vermeer-python", + version="0.1.0", + install_requires=install_requires, + long_description=long_description, + long_description_content_type="text/markdown", + packages=setuptools.find_packages(where="src", exclude=["tests"]), + package_dir={"": "src"}, + classifiers=[ + "Programming Language :: Python :: 3", + "License :: OSI Approved :: Apache Software License", + "Operating System :: OS Independent", + ], + python_requires=">=3.9", +) diff --git a/vermeer-python-client/src/pyvermeer/__init__.py b/vermeer-python-client/src/pyvermeer/__init__.py new file mode 100644 index 000000000..374f52b34 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/__init__.py @@ -0,0 +1,5 @@ +# !/usr/bin/env python3 +""" +file:__init__.py +author: wenyuxuan@baidu.com +""" diff --git a/vermeer-python-client/src/pyvermeer/api/base.py b/vermeer-python-client/src/pyvermeer/api/base.py new file mode 100644 index 000000000..0c53983ad --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/api/base.py @@ -0,0 +1,29 @@ +# !/usr/bin/env python3 +""" +file: base.py +author: wenyuxuan@baidu.com +""" + +from pyvermeer.utils.log import log + + +class BaseModule: + """基类""" + + def __init__(self, client): + self._client = client + self.log = log.getChild(__name__) + + @property + def session(self): + """返回客户端的session对象""" + return self._client.session + + def _send_request(self, method: str, endpoint: str, params: dict = None): + """统一请求入口""" + self.log.debug(f"Sending {method} to {endpoint}") + return self._client.send_request( + method=method, + endpoint=endpoint, + params=params + ) diff --git a/vermeer-python-client/src/pyvermeer/api/graph.py b/vermeer-python-client/src/pyvermeer/api/graph.py new file mode 100644 index 000000000..173f5d275 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/api/graph.py @@ -0,0 +1,28 @@ +# !/usr/bin/env python3 +""" +file: graph.py +author: wenyuxuan@baidu.com +""" + +from pyvermeer.structure.graph_data import GraphsResponse, GraphResponse +from .base import BaseModule + + +class GraphModule(BaseModule): + """Graph""" + + def get_graph(self, graph_name: str) -> GraphResponse: + """获取任务列表""" + response = self._send_request( + "GET", + f"/graphs/{graph_name}" + ) + return GraphResponse(response) + + def get_graphs(self) -> GraphsResponse: + """获取任务列表""" + response = self._send_request( + "GET", + "/graphs", + ) + return GraphsResponse(response) diff --git a/vermeer-python-client/src/pyvermeer/api/master.py b/vermeer-python-client/src/pyvermeer/api/master.py new file mode 100644 index 000000000..e211a48ac --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/api/master.py @@ -0,0 +1,5 @@ +# !/usr/bin/env python3 +""" +file: master.py +author: wenyuxuan@baidu.com +""" diff --git a/vermeer-python-client/src/pyvermeer/api/task.py b/vermeer-python-client/src/pyvermeer/api/task.py new file mode 100644 index 000000000..b57c4a46f --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/api/task.py @@ -0,0 +1,38 @@ +# !/usr/bin/env python3 +""" +file: task.py +author: wenyuxuan@baidu.com +""" + +from pyvermeer.api.base import BaseModule + +from pyvermeer.structure.task_data import TasksResponse, TaskCreateRequest, TaskCreateResponse, TaskResponse + + +class TaskModule(BaseModule): + """Task""" + + def get_tasks(self) -> TasksResponse: + """获取任务列表""" + response = self._send_request( + "GET", + "/tasks" + ) + return TasksResponse(response) + + def get_task(self, task_id: int) -> TaskResponse: + """获取单个任务信息""" + response = self._send_request( + "GET", + f"/task/{task_id}" + ) + return TaskResponse(response) + + def create_task(self, create_task: TaskCreateRequest) -> TaskCreateResponse: + """创建新任务""" + response = self._send_request( + method="POST", + endpoint="/tasks/create", + params=create_task.to_dict() + ) + return TaskCreateResponse(response) diff --git a/vermeer-python-client/src/pyvermeer/api/worker.py b/vermeer-python-client/src/pyvermeer/api/worker.py new file mode 100644 index 000000000..90e4abe98 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/api/worker.py @@ -0,0 +1,5 @@ +# !/usr/bin/env python3 +""" +file: worker.py +author: wenyuxuan@baidu.com +""" diff --git a/vermeer-python-client/src/pyvermeer/client/__init__.py b/vermeer-python-client/src/pyvermeer/client/__init__.py new file mode 100644 index 000000000..7c21a6a16 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/client/__init__.py @@ -0,0 +1,5 @@ +# !/usr/bin/env python3 +""" +file: __init__.py +author: wenyuxuan@baidu.com +""" diff --git a/vermeer-python-client/src/pyvermeer/client/client.py b/vermeer-python-client/src/pyvermeer/client/client.py new file mode 100644 index 000000000..1cac3d08e --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/client/client.py @@ -0,0 +1,52 @@ +# !/usr/bin/env python3 +""" +file: client.py +author: wenyuxuan@baidu.com +""" + +from typing import Dict +from typing import Optional + +from pyvermeer.api.base import BaseModule +from pyvermeer.api.graph import GraphModule +from pyvermeer.api.task import TaskModule +from pyvermeer.utils.log import log +from pyvermeer.utils.vermeer_config import VermeerConfig +from pyvermeer.utils.vermeer_requests import VermeerSession + + +class PyVermeerClient: + """Vermeer API Client""" + + def __init__( + self, + ip: str, + port: int, + token: str, + timeout: Optional[tuple[float, float]] = None, + log_level: str = "INFO", + ): + """初始化客户端，包括配置和会话管理 + :param ip: + :param port: + :param token: + :param timeout: + :param log_level: + """ + self.cfg = VermeerConfig(ip, port, token, timeout) + self.session = VermeerSession(self.cfg) + self._modules: Dict[str, BaseModule] = { + "graph": GraphModule(self), + "tasks": TaskModule(self) + } + log.setLevel(log_level) + + def __getattr__(self, name): + """通过属性访问模块""" + if name in self._modules: + return self._modules[name] + raise AttributeError(f"Module {name} not found") + + def send_request(self, method: str, endpoint: str, params: dict = None): + """统一请求方法""" + return self.session.request(method, endpoint, params) diff --git a/vermeer-python-client/src/pyvermeer/demo/task_demo.py b/vermeer-python-client/src/pyvermeer/demo/task_demo.py new file mode 100644 index 000000000..637eb3614 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/demo/task_demo.py @@ -0,0 +1,42 @@ +# !/usr/bin/env python3 +""" +file: task_demo.py +author: wenyuxuan@baidu.com +""" + +from pyvermeer.client.client import PyVermeerClient +from pyvermeer.structure.task_data import TaskCreateRequest + + +def main(): + """main""" + client = PyVermeerClient( + ip="10.41.57.139", + port=8688, + token="Q7svB13nYvREB4bDCj7kQnwJEMvLgrgfDimu4h1Fp7CUzQLk758ya1EYwycn1kjbgskiHiKzDni9jEkJcssgTy7rZJdt4gYEkfvjeowZGzSebgiSEU86dgFPXzUUtwrA81vWKm1xfioBcS9GmXjGQoM6C", + log_level="DEBUG", + ) + task = client.tasks.get_tasks() + + print(task.to_dict()) + + create_response = client.tasks.create_task( + create_task=TaskCreateRequest( + task_type='load', + graph_name='DEFAULT-example', + params={ + "load.hg_pd_peers": "[\"10.41.57.87:8686\"]", + "load.hugegraph_name": "DEFAULT/example/g", + "load.hugegraph_password": "xxx", + "load.hugegraph_username": "xxx", + "load.parallel": "10", + "load.type": "hugegraph" + }, + ) + ) + + print(create_response.to_dict()) + + +if __name__ == "__main__": + main() diff --git a/vermeer-python-client/src/pyvermeer/structure/__init__.py b/vermeer-python-client/src/pyvermeer/structure/__init__.py new file mode 100644 index 000000000..7c21a6a16 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/structure/__init__.py @@ -0,0 +1,5 @@ +# !/usr/bin/env python3 +""" +file: __init__.py +author: wenyuxuan@baidu.com +""" diff --git a/vermeer-python-client/src/pyvermeer/structure/base_data.py b/vermeer-python-client/src/pyvermeer/structure/base_data.py new file mode 100644 index 000000000..525f2f53d --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/structure/base_data.py @@ -0,0 +1,39 @@ +# !/usr/bin/env python3 +""" +file: base_data.py +author: wenyuxuan@baidu.com +""" + +RESPONSE_ERR = 1 +RESPONSE_OK = 0 +RESPONSE_NONE = -1 + + +class BaseResponse(object): + """ + Base response class + """ + + def __init__(self, dic: dict): + """ + init + :param dic: + """ + self.__errcode = dic.get('errcode', RESPONSE_NONE) + self.__message = dic.get('message', "") + + @property + def errcode(self) -> int: + """ + get error code + :return: + """ + return self.__errcode + + @property + def message(self) -> str: + """ + get message + :return: + """ + return self.__message diff --git a/vermeer-python-client/src/pyvermeer/structure/graph_data.py b/vermeer-python-client/src/pyvermeer/structure/graph_data.py new file mode 100644 index 000000000..8c2af4db8 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/structure/graph_data.py @@ -0,0 +1,244 @@ +# !/usr/bin/env python3 +""" +file: graph_data.py +author: wenyuxuan@baidu.com +""" + +import datetime + +from pyvermeer.structure.base_data import BaseResponse +from pyvermeer.utils.vermeer_datetime import parse_vermeer_time + + +class BackendOpt: + """BackendOpt class""" + + def __init__(self, dic: dict): + """init""" + self.__vertex_data_backend = dic.get('vertex_data_backend', None) + + @property + def vertex_data_backend(self): + """vertex data backend""" + return self.__vertex_data_backend + + def to_dict(self): + """to dict""" + return { + 'vertex_data_backend': self.vertex_data_backend + } + + +class GraphWorker: + """GraphWorker""" + + def __init__(self, dic: dict): + """init""" + self.__name = dic.get('Name', '') + self.__vertex_count = dic.get('VertexCount', -1) + self.__vert_id_start = dic.get('VertIdStart', -1) + self.__edge_count = dic.get('EdgeCount', -1) + self.__is_self = dic.get('IsSelf', False) + self.__scatter_offset = dic.get('ScatterOffset', -1) + + @property + def name(self) -> str: + """graph worker name""" + return self.__name + + @property + def vertex_count(self) -> int: + """vertex count""" + return self.__vertex_count + + @property + def vert_id_start(self) -> int: + """vertex id start""" + return self.__vert_id_start + + @property + def edge_count(self) -> int: + """edge count""" + return self.__edge_count + + @property + def is_self(self) -> bool: + """is self worker. Nonsense """ + return self.__is_self + + @property + def scatter_offset(self) -> int: + """scatter offset""" + return self.__scatter_offset + + def to_dict(self): + """to dict""" + return { + 'name': self.name, + 'vertex_count': self.vertex_count, + 'vert_id_start': self.vert_id_start, + 'edge_count': self.edge_count, + 'is_self': self.is_self, + 'scatter_offset': self.scatter_offset + } + + +class VermeerGraph: + """VermeerGraph""" + + def __init__(self, dic: dict): + """init""" + self.__name = dic.get('name', '') + self.__space_name = dic.get('space_name', '') + self.__status = dic.get('status', '') + self.__create_time = parse_vermeer_time(dic.get('create_time', '')) + self.__update_time = parse_vermeer_time(dic.get('update_time', '')) + self.__vertex_count = dic.get('vertex_count', 0) + self.__edge_count = dic.get('edge_count', 0) + self.__workers = [GraphWorker(w) for w in dic.get('workers', [])] + self.__worker_group = dic.get('worker_group', '') + self.__use_out_edges = dic.get('use_out_edges', False) + self.__use_property = dic.get('use_property', False) + self.__use_out_degree = dic.get('use_out_degree', False) + self.__use_undirected = dic.get('use_undirected', False) + self.__on_disk = dic.get('on_disk', False) + self.__backend_option = BackendOpt(dic.get('backend_option', {})) + + @property + def name(self) -> str: + """graph name""" + return self.__name + + @property + def space_name(self) -> str: + """space name""" + return self.__space_name + + @property + def status(self) -> str: + """graph status""" + return self.__status + + @property + def create_time(self) -> datetime: + """create time""" + return self.__create_time + + @property + def update_time(self) -> datetime: + """update time""" + return self.__update_time + + @property + def vertex_count(self) -> int: + """vertex count""" + return self.__vertex_count + + @property + def edge_count(self) -> int: + """edge count""" + return self.__edge_count + + @property + def workers(self) -> list[GraphWorker]: + """graph workers""" + return self.__workers + + @property + def worker_group(self) -> str: + """worker group""" + return self.__worker_group + + @property + def use_out_edges(self) -> bool: + """whether graph has out edges""" + return self.__use_out_edges + + @property + def use_property(self) -> bool: + """whether graph has property""" + return self.__use_property + + @property + def use_out_degree(self) -> bool: + """whether graph has out degree""" + return self.__use_out_degree + + @property + def use_undirected(self) -> bool: + """whether graph is undirected""" + return self.__use_undirected + + @property + def on_disk(self) -> bool: + """whether graph is on disk""" + return self.__on_disk + + @property + def backend_option(self) -> BackendOpt: + """backend option""" + return self.__backend_option + + def to_dict(self) -> dict: + """to dict""" + return { + 'name': self.__name, + 'space_name': self.__space_name, + 'status': self.__status, + 'create_time': self.__create_time.strftime("%Y-%m-%d %H:%M:%S") if self.__create_time else '', + 'update_time': self.__update_time.strftime("%Y-%m-%d %H:%M:%S") if self.__update_time else '', + 'vertex_count': self.__vertex_count, + 'edge_count': self.__edge_count, + 'workers': [w.to_dict() for w in self.__workers], + 'worker_group': self.__worker_group, + 'use_out_edges': self.__use_out_edges, + 'use_property': self.__use_property, + 'use_out_degree': self.__use_out_degree, + 'use_undirected': self.__use_undirected, + 'on_disk': self.__on_disk, + 'backend_option': self.__backend_option.to_dict(), + } + + +class GraphsResponse(BaseResponse): + """GraphsResponse""" + + def __init__(self, dic: dict): + """init""" + super().__init__(dic) + self.__graphs = [VermeerGraph(g) for g in dic.get('graphs', [])] + + @property + def graphs(self) -> list[VermeerGraph]: + """graphs""" + return self.__graphs + + def to_dict(self) -> dict: + """to dict""" + return { + 'errcode': self.errcode, + 'message': self.message, + 'graphs': [g.to_dict() for g in self.graphs] + } + + +class GraphResponse(BaseResponse): + """GraphResponse""" + + def __init__(self, dic: dict): + """init""" + super().__init__(dic) + self.__graph = VermeerGraph(dic.get('graph', {})) + + @property + def graph(self) -> VermeerGraph: + """graph""" + return self.__graph + + def to_dict(self) -> dict: + """to dict""" + return { + 'errcode': self.errcode, + 'message': self.message, + 'graph': self.graph.to_dict() + } diff --git a/vermeer-python-client/src/pyvermeer/structure/master_data.py b/vermeer-python-client/src/pyvermeer/structure/master_data.py new file mode 100644 index 000000000..27b0d96a4 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/structure/master_data.py @@ -0,0 +1,71 @@ +# !/usr/bin/env python3 +""" +file: master_data.py +author: wenyuxuan@baidu.com +""" + +import datetime + +from pyvermeer.structure.base_data import BaseResponse +from pyvermeer.utils.vermeer_datetime import parse_vermeer_time + + +class MasterInfo: + """Master 信息""" + + def __init__(self, dic: dict): + """初始化函数""" + self.__grpc_peer = dic.get('grpc_peer', '') + self.__ip_addr = dic.get('ip_addr', '') + self.__debug_mod = dic.get('debug_mod', False) + self.__version = dic.get('version', '') + self.__launch_time = parse_vermeer_time(dic.get('launch_time', '')) + + @property + def grpc_peer(self) -> str: + """gRPC地址""" + return self.__grpc_peer + + @property + def ip_addr(self) -> str: + """IP地址""" + return self.__ip_addr + + @property + def debug_mod(self) -> bool: + """是否为调试模式""" + return self.__debug_mod + + @property + def version(self) -> str: + """Master 版本号""" + return self.__version + + @property + def launch_time(self) -> datetime: + """Master 启动时间""" + return self.__launch_time + + def to_dict(self): + """返回字典格式数据""" + return { + "grpc_peer": self.__grpc_peer, + "ip_addr": self.__ip_addr, + "debug_mod": self.__debug_mod, + "version": self.__version, + "launch_time": self.__launch_time.strftime("%Y-%m-%d %H:%M:%S") if self.__launch_time else '' + } + + +class MasterResponse(BaseResponse): + """Master 响应""" + + def __init__(self, dic: dict): + """初始化函数""" + super().__init__(dic) + self.__master_info = MasterInfo(dic['master_info']) + + @property + def master_info(self) -> MasterInfo: + """获取主节点信息""" + return self.__master_info diff --git a/vermeer-python-client/src/pyvermeer/structure/task_data.py b/vermeer-python-client/src/pyvermeer/structure/task_data.py new file mode 100644 index 000000000..d93f756c2 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/structure/task_data.py @@ -0,0 +1,215 @@ +# !/usr/bin/env python3 +""" +file: task_data.py +author: wenyuxuan@baidu.com +""" + +import datetime + +from pyvermeer.structure.base_data import BaseResponse +from pyvermeer.utils.vermeer_datetime import parse_vermeer_time + + +class TaskWorker: + """task worker info""" + + def __init__(self, dic): + """init""" + self.__name = dic.get('name', None) + self.__status = dic.get('status', None) + + @property + def name(self) -> str: + """worker name""" + return self.__name + + @property + def status(self) -> str: + """worker status""" + return self.__status + + def to_dict(self): + """to dict""" + return {'name': self.name, 'status': self.status} + + +class TaskInfo: + """task info""" + + def __init__(self, dic): + """init""" + self.__id = dic.get('id', 0) + self.__status = dic.get('status', '') + self.__state = dic.get('state', '') + self.__create_user = dic.get('create_user', '') + self.__create_type = dic.get('create_type', '') + self.__create_time = parse_vermeer_time(dic.get('create_time', '')) + self.__start_time = parse_vermeer_time(dic.get('start_time', '')) + self.__update_time = parse_vermeer_time(dic.get('update_time', '')) + self.__graph_name = dic.get('graph_name', '') + self.__space_name = dic.get('space_name', '') + self.__type = dic.get('type', '') + self.__params = dic.get('params', {}) + self.__workers = [TaskWorker(w) for w in dic.get('workers', [])] + + @property + def id(self) -> int: + """task id""" + return self.__id + + @property + def state(self) -> str: + """task state""" + return self.__state + + @property + def create_user(self) -> str: + """task creator""" + return self.__create_user + + @property + def create_type(self) -> str: + """task create type""" + return self.__create_type + + @property + def create_time(self) -> datetime: + """task create time""" + return self.__create_time + + @property + def start_time(self) -> datetime: + """task start time""" + return self.__start_time + + @property + def update_time(self) -> datetime: + """task update time""" + return self.__update_time + + @property + def graph_name(self) -> str: + """task graph""" + return self.__graph_name + + @property + def space_name(self) -> str: + """task space""" + return self.__space_name + + @property + def type(self) -> str: + """task type""" + return self.__type + + @property + def params(self) -> dict: + """task params""" + return self.__params + + @property + def workers(self) -> list[TaskWorker]: + """task workers""" + return self.__workers + + def to_dict(self) -> dict: + """to dict""" + return { + 'id': self.__id, + 'status': self.__status, + 'state': self.__state, + 'create_user': self.__create_user, + 'create_type': self.__create_type, + 'create_time': self.__create_time.strftime("%Y-%m-%d %H:%M:%S") if self.__start_time else '', + 'start_time': self.__start_time.strftime("%Y-%m-%d %H:%M:%S") if self.__start_time else '', + 'update_time': self.__update_time.strftime("%Y-%m-%d %H:%M:%S") if self.__update_time else '', + 'graph_name': self.__graph_name, + 'space_name': self.__space_name, + 'type': self.__type, + 'params': self.__params, + 'workers': [w.to_dict() for w in self.__workers], + } + + +class TaskCreateRequest: + """task create request""" + + def __init__(self, task_type, graph_name, params): + """init""" + self.task_type = task_type + self.graph_name = graph_name + self.params = params + + def to_dict(self) -> dict: + """to dict""" + return { + 'task_type': self.task_type, + 'graph': self.graph_name, + 'params': self.params + } + + +class TaskCreateResponse(BaseResponse): + """task create response""" + + def __init__(self, dic): + """init""" + super().__init__(dic) + self.__task = TaskInfo(dic.get('task', {})) + + @property + def task(self) -> TaskInfo: + """task info""" + return self.__task + + def to_dict(self) -> dict: + """to dict""" + return { + "errcode": self.errcode, + "message": self.message, + "task": self.task.to_dict(), + } + + +class TasksResponse(BaseResponse): + """tasks response""" + + def __init__(self, dic): + """init""" + super().__init__(dic) + self.__tasks = [TaskInfo(t) for t in dic.get('tasks', [])] + + @property + def tasks(self) -> list[TaskInfo]: + """task infos""" + return self.__tasks + + def to_dict(self) -> dict: + """to dict""" + return { + "errcode": self.errcode, + "message": self.message, + "tasks": [t.to_dict() for t in self.tasks] + } + + +class TaskResponse(BaseResponse): + """task response""" + + def __init__(self, dic): + """init""" + super().__init__(dic) + self.__task = TaskInfo(dic.get('task', {})) + + @property + def task(self) -> TaskInfo: + """task info""" + return self.__task + + def to_dict(self) -> dict: + """to dict""" + return { + "errcode": self.errcode, + "message": self.message, + "task": self.task.to_dict(), + } diff --git a/vermeer-python-client/src/pyvermeer/structure/worker_data.py b/vermeer-python-client/src/pyvermeer/structure/worker_data.py new file mode 100644 index 000000000..3b7aa0e59 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/structure/worker_data.py @@ -0,0 +1,107 @@ +# !/usr/bin/env python3 +""" +file: worker_data.py +author: wenyuxuan@baidu.com +""" + +import datetime + +from pyvermeer.structure.base_data import BaseResponse +from pyvermeer.utils.vermeer_datetime import parse_vermeer_time + + +class Worker: + """worker data""" + + def __init__(self, dic): + """init""" + self.__id = dic.get('id', 0) + self.__name = dic.get('name', '') + self.__grpc_addr = dic.get('grpc_addr', '') + self.__ip_addr = dic.get('ip_addr', '') + self.__state = dic.get('state', '') + self.__version = dic.get('version', '') + self.__group = dic.get('group', '') + self.__init_time = parse_vermeer_time(dic.get('init_time', '')) + self.__launch_time = parse_vermeer_time(dic.get('launch_time', '')) + + @property + def id(self) -> int: + """worker id""" + return self.__id + + @property + def name(self) -> str: + """worker name""" + return self.__name + + @property + def grpc_addr(self) -> str: + """gRPC address""" + return self.__grpc_addr + + @property + def ip_addr(self) -> str: + """IP address""" + return self.__ip_addr + + @property + def state(self) -> int: + """worker status""" + return self.__state + + @property + def version(self) -> str: + """worker version""" + return self.__version + + @property + def group(self) -> str: + """worker group""" + return self.__group + + @property + def init_time(self) -> datetime: + """worker initialization time""" + return self.__init_time + + @property + def launch_time(self) -> datetime: + """worker launch time""" + return self.__launch_time + + def to_dict(self): + """convert object to dictionary""" + return { + "id": self.id, + "name": self.name, + "grpc_addr": self.grpc_addr, + "ip_addr": self.ip_addr, + "state": self.state, + "version": self.version, + "group": self.group, + "init_time": self.init_time, + "launch_time": self.launch_time, + } + + +class WorkersResponse(BaseResponse): + """response of workers""" + + def __init__(self, dic): + """init""" + super().__init__(dic) + self.__workers = [Worker(worker) for worker in dic['workers']] + + @property + def workers(self) -> list[Worker]: + """list of workers""" + return self.__workers + + def to_dict(self): + """convert object to dictionary""" + return { + "errcode": self.errcode, + "message": self.message, + "workers": [worker.to_dict() for worker in self.workers], + } diff --git a/vermeer-python-client/src/pyvermeer/utils/__init__.py b/vermeer-python-client/src/pyvermeer/utils/__init__.py new file mode 100644 index 000000000..0b14d2fed --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/utils/__init__.py @@ -0,0 +1,5 @@ +# !/usr/bin/env python3 +""" +file: __init__.py +author: wenyuxuan@baidu.com +""" diff --git a/vermeer-python-client/src/pyvermeer/utils/exception.py b/vermeer-python-client/src/pyvermeer/utils/exception.py new file mode 100644 index 000000000..a4237c922 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/utils/exception.py @@ -0,0 +1,33 @@ +# !/usr/bin/env python3 +""" +file: exceptions.py +author: wenyuxuan@baidu.com +""" + + +class ConnectError(Exception): + """Raised when there is an issue connecting to the server.""" + + def __init__(self, message): + super().__init__(f"Connection error: {str(message)}") + + +class TimeOutError(Exception): + """Raised when a request times out.""" + + def __init__(self, message): + super().__init__(f"Request timed out: {str(message)}") + + +class JsonDecodeError(Exception): + """Raised when the response from the server cannot be decoded as JSON.""" + + def __init__(self, message): + super().__init__(f"Failed to decode JSON response: {str(message)}") + + +class UnknownError(Exception): + """Raised for any other unknown errors.""" + + def __init__(self, message): + super().__init__(f"Unknown API error: {str(message)}") diff --git a/vermeer-python-client/src/pyvermeer/utils/log.py b/vermeer-python-client/src/pyvermeer/utils/log.py new file mode 100644 index 000000000..a7953c9fe --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/utils/log.py @@ -0,0 +1,58 @@ +# !/usr/bin/env python3 +""" +file: log.py +author: wenyuxuan@baidu.com +""" +import logging +import sys + + +class VermeerLogger: + """vermeer API log""" + _instance = None + + def __new__(cls, name: str = "VermeerClient"): + """new api logger""" + if cls._instance is None: + cls._instance = super().__new__(cls) + cls._instance._initialize(name) + return cls._instance + + def _initialize(self, name: str): + """初始化日志配置""" + self.logger = logging.getLogger(name) + self.logger.setLevel(logging.INFO) # 默认级别 + + if not self.logger.handlers: + # 控制台输出格式 + console_format = logging.Formatter( + '[%(asctime)s] [%(levelname)s] %(name)s - %(message)s', + datefmt='%Y-%m-%d %H:%M:%S' + ) + + # 控制台处理器 + console_handler = logging.StreamHandler(sys.stdout) + console_handler.setLevel(logging.INFO) # 控制台默认级别 + console_handler.setFormatter(console_format) + + # file_handler = logging.FileHandler('api_client.log') + # file_handler.setLevel(logging.DEBUG) + # file_handler.setFormatter( + # logging.Formatter( + # '[%(asctime)s] [%(levelname)s] [%(threadName)s] %(name)s - %(message)s' + # ) + # ) + + self.logger.addHandler(console_handler) + # self.logger.addHandler(file_handler) + + self.logger.propagate = False + + @classmethod + def get_logger(cls) -> logging.Logger: + """获取配置好的日志记录器""" + return cls().logger + + +# 全局日志实例 +log = VermeerLogger.get_logger() diff --git a/vermeer-python-client/src/pyvermeer/utils/vermeer_config.py b/vermeer-python-client/src/pyvermeer/utils/vermeer_config.py new file mode 100644 index 000000000..79bb32628 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/utils/vermeer_config.py @@ -0,0 +1,26 @@ +# !/usr/bin/env python3 +""" +file: vermeer_config.py +author: wenyuxuan@baidu.com +""" + + +class VermeerConfig: + """The configuration of a Vermeer instance.""" + ip: str + port: int + token: str + factor: str + username: str + graph_space: str + + def __init__(self, + ip: str, + port: int, + token: str, + timeout: tuple[float, float] = (0.5, 15.0)): + """Initialize the configuration for a Vermeer instance.""" + self.ip = ip + self.port = port + self.token = token + self.timeout = timeout diff --git a/vermeer-python-client/src/pyvermeer/utils/vermeer_datetime.py b/vermeer-python-client/src/pyvermeer/utils/vermeer_datetime.py new file mode 100644 index 000000000..323ea4e2c --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/utils/vermeer_datetime.py @@ -0,0 +1,21 @@ +# !/usr/bin/env python3 +""" +file: vermeer_datetime.py +author: wenyuxuan@baidu.com +""" + +import datetime + +from dateutil import parser + + +def parse_vermeer_time(vm_dt: str) -> datetime: + """Parse a vermeer time string into a Python datetime object.""" + if vm_dt is None or len(vm_dt) == 0: + return None + dt = parser.parse(vm_dt) + return dt + + +if __name__ == '__main__': + print(parse_vermeer_time('2025-02-17T15:45:05.396311145+08:00').strftime("%Y%m%d")) diff --git a/vermeer-python-client/src/pyvermeer/utils/vermeer_requests.py b/vermeer-python-client/src/pyvermeer/utils/vermeer_requests.py new file mode 100644 index 000000000..1099d5db2 --- /dev/null +++ b/vermeer-python-client/src/pyvermeer/utils/vermeer_requests.py @@ -0,0 +1,104 @@ +# !/usr/bin/env python3 +""" +file: vermeer_requests.py +author: wenyuxuan@baidu.com +""" + +import json +from typing import Optional +from urllib.parse import urljoin + +import requests +from requests.adapters import HTTPAdapter +from urllib3.util.retry import Retry + +from pyvermeer.utils.exception import JsonDecodeError, ConnectError, TimeOutError, UnknownError +from pyvermeer.utils.log import log +from pyvermeer.utils.vermeer_config import VermeerConfig + + +class VermeerSession: + """vermeer session""" + + def __init__( + self, + cfg: VermeerConfig, + retries: int = 3, + backoff_factor: int = 0.1, + status_forcelist=(500, 502, 504), + session: Optional[requests.Session] = None, + ): + """ + Initialize the Session. + """ + self._cfg = cfg + self._retries = retries + self._backoff_factor = backoff_factor + self._status_forcelist = status_forcelist + if self._cfg.token is not None: + self._auth = self._cfg.token + else: + raise ValueError("Vermeer Token must be provided.") + self._headers = {"Content-Type": "application/json", "Authorization": self._auth} + self._timeout = cfg.timeout + self._session = session if session else requests.Session() + self.__configure_session() + + def __configure_session(self): + """ + Configure the retry strategy and connection adapter for the session. + """ + retry_strategy = Retry( + total=self._retries, + read=self._retries, + connect=self._retries, + backoff_factor=self._backoff_factor, + status_forcelist=self._status_forcelist, + ) + adapter = HTTPAdapter(max_retries=retry_strategy) + self._session.mount("http://", adapter) + self._session.mount("https://", adapter) + self._session.keep_alive = False + log.debug( + "Session configured with retries=%s and backoff_factor=%s", + self._retries, + self._backoff_factor, + ) + + def resolve(self, path: str): + """ + Resolve the path to a full URL. + """ + url = f"http://{self._cfg.ip}:{self._cfg.port}/" + return urljoin(url, path).strip("/") + + def close(self): + """ + closes the session. + """ + self._session.close() + + def request( + self, + method: str, + path: str, + params: dict = None + ) -> dict: + """request""" + try: + log.debug(f"Request made to {path} with params {json.dumps(params)}") + response = self._session.request(method, + self.resolve(path), + headers=self._headers, + data=json.dumps(params), + timeout=self._timeout) + log.debug(f"Response code:{response.status_code}, received: {response.text}") + return response.json() + except requests.ConnectionError as e: + raise ConnectError(e) from e + except requests.Timeout as e: + raise TimeOutError(e) from e + except json.JSONDecodeError as e: + raise JsonDecodeError(e) from e + except Exception as e: + raise UnknownError(e) from e From 43cdcaeab1ccc15b443833ea26f129bc2246ed71 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Sun, 27 Apr 2025 19:08:49 +0800 Subject: [PATCH 06/49] update llm settings Change-Id: I07414cd8b418afabcb1f8a40454a679f10760bf8 --- hugegraph-llm/src/hugegraph_llm/config/llm_config.py | 12 ++++++------ .../src/hugegraph_llm/models/llms/litellm.py | 4 ++-- .../src/hugegraph_llm/models/llms/openai.py | 4 ++-- .../src/hugegraph_llm/models/llms/qianfan.py | 2 +- 4 files changed, 11 insertions(+), 11 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/config/llm_config.py b/hugegraph-llm/src/hugegraph_llm/config/llm_config.py index 5e314bdfa..d21797d7b 100644 --- a/hugegraph-llm/src/hugegraph_llm/config/llm_config.py +++ b/hugegraph-llm/src/hugegraph_llm/config/llm_config.py @@ -33,13 +33,13 @@ class LLMConfig(BaseConfig): # 1. OpenAI settings openai_chat_api_base: Optional[str] = os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1") openai_chat_api_key: Optional[str] = os.environ.get("OPENAI_API_KEY") - openai_chat_language_model: Optional[str] = "gpt-4o-mini" + openai_chat_language_model: Optional[str] = "gpt-4.1-mini" openai_extract_api_base: Optional[str] = os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1") openai_extract_api_key: Optional[str] = os.environ.get("OPENAI_API_KEY") - openai_extract_language_model: Optional[str] = "gpt-4o-mini" + openai_extract_language_model: Optional[str] = "gpt-4.1-mini" openai_text2gql_api_base: Optional[str] = os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1") openai_text2gql_api_key: Optional[str] = os.environ.get("OPENAI_API_KEY") - openai_text2gql_language_model: Optional[str] = "gpt-4o-mini" + openai_text2gql_language_model: Optional[str] = "gpt-4.1-mini" openai_embedding_api_base: Optional[str] = os.environ.get("OPENAI_EMBEDDING_BASE_URL", "https://api.openai.com/v1") openai_embedding_api_key: Optional[str] = os.environ.get("OPENAI_EMBEDDING_API_KEY") openai_embedding_model: Optional[str] = "text-embedding-3-small" @@ -87,15 +87,15 @@ class LLMConfig(BaseConfig): # 5. LiteLLM settings litellm_chat_api_key: Optional[str] = None litellm_chat_api_base: Optional[str] = None - litellm_chat_language_model: Optional[str] = "openai/gpt-4o" + litellm_chat_language_model: Optional[str] = "openai/gpt-4.1-mini" litellm_chat_tokens: int = 8192 litellm_extract_api_key: Optional[str] = None litellm_extract_api_base: Optional[str] = None - litellm_extract_language_model: Optional[str] = "openai/gpt-4o" + litellm_extract_language_model: Optional[str] = "openai/gpt-4.1-mini" litellm_extract_tokens: int = 256 litellm_text2gql_api_key: Optional[str] = None litellm_text2gql_api_base: Optional[str] = None - litellm_text2gql_language_model: Optional[str] = "openai/gpt-4o" + litellm_text2gql_language_model: Optional[str] = "openai/gpt-4.1-mini" litellm_text2gql_tokens: int = 4096 litellm_embedding_api_key: Optional[str] = None litellm_embedding_api_base: Optional[str] = None diff --git a/hugegraph-llm/src/hugegraph_llm/models/llms/litellm.py b/hugegraph-llm/src/hugegraph_llm/models/llms/litellm.py index ca5ae6031..ce5fd6c5d 100644 --- a/hugegraph-llm/src/hugegraph_llm/models/llms/litellm.py +++ b/hugegraph-llm/src/hugegraph_llm/models/llms/litellm.py @@ -38,9 +38,9 @@ def __init__( self, api_key: Optional[str] = None, api_base: Optional[str] = None, - model_name: str = "openai/gpt-4o", # Can be any model supported by LiteLLM + model_name: str = "openai/gpt-4.1-mini", # Can be any model supported by LiteLLM max_tokens: int = 4096, - temperature: float = 0.0, + temperature: float = 0.01, ) -> None: self.api_key = api_key self.api_base = api_base diff --git a/hugegraph-llm/src/hugegraph_llm/models/llms/openai.py b/hugegraph-llm/src/hugegraph_llm/models/llms/openai.py index 45f6d7a3c..7bbb2e281 100644 --- a/hugegraph-llm/src/hugegraph_llm/models/llms/openai.py +++ b/hugegraph-llm/src/hugegraph_llm/models/llms/openai.py @@ -38,9 +38,9 @@ def __init__( self, api_key: Optional[str] = None, api_base: Optional[str] = None, - model_name: str = "gpt-4o-mini", + model_name: str = "gpt-4.1-mini", max_tokens: int = 4096, - temperature: float = 0.0, + temperature: float = 0.01, ) -> None: api_key = api_key or '' self.client = OpenAI(api_key=api_key, base_url=api_base) diff --git a/hugegraph-llm/src/hugegraph_llm/models/llms/qianfan.py b/hugegraph-llm/src/hugegraph_llm/models/llms/qianfan.py index cbca69136..2d306ac4f 100644 --- a/hugegraph-llm/src/hugegraph_llm/models/llms/qianfan.py +++ b/hugegraph-llm/src/hugegraph_llm/models/llms/qianfan.py @@ -27,7 +27,7 @@ class QianfanClient(BaseLLM): - def __init__(self, model_name: Optional[str] = "ERNIE-4.0-Turbo-8K", + def __init__(self, model_name: Optional[str] = "ernie-4.5-8k-preview", api_key: Optional[str] = None, secret_key: Optional[str] = None): qianfan.get_config().AK = api_key or llm_settings.qianfan_chat_api_key qianfan.get_config().SK = secret_key or llm_settings.qianfan_chat_secret_key From b4f1a51b83911bb9bc79b22ef6b3b7639b2c41b0 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 28 Apr 2025 16:07:02 +0800 Subject: [PATCH 07/49] set num_gremlin_generate_example 0 Change-Id: I909b71df67bef316b8cef02010bcae9e91168f4e --- hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py | 2 +- .../src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py b/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py index 9c3dcf984..66e176d01 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py @@ -128,7 +128,7 @@ def query_graphdb( max_v_prop_len: int = 2048, max_e_prop_len: int = 256, prop_to_match: Optional[str] = None, - num_gremlin_generate_example: Optional[int] = 1, + num_gremlin_generate_example: Optional[int] = 0, gremlin_prompt: Optional[str] = prompt.gremlin_generate_prompt, ): """ diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py index 53aff68c4..5096bb6b2 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py @@ -84,7 +84,7 @@ def __init__( embedding: Optional[BaseEmbedding] = None, max_v_prop_len: Optional[int] = 2048, max_e_prop_len: Optional[int] = 256, - num_gremlin_generate_example: Optional[int] = 1, + num_gremlin_generate_example: Optional[int] = 0, gremlin_prompt: Optional[str] = None, ): self._client = PyHugeClient( From 142a44e67c9e69e0999e455fb5f3a75ab3c5c429 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 28 Apr 2025 16:48:00 +0800 Subject: [PATCH 08/49] disable text2gql by default Change-Id: I0d4ce8e5a227941ecb3e5972bec35a79e25a6263 --- hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py | 6 +++--- hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py | 2 +- .../hugegraph_llm/operators/hugegraph_op/graph_rag_query.py | 6 ++++-- 3 files changed, 8 insertions(+), 6 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py index 81ced344e..1f065f7ef 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py @@ -42,7 +42,7 @@ def rag_answer( custom_related_information: str, answer_prompt: str, keywords_extract_prompt: str, - gremlin_tmpl_num: Optional[int] = 2, + gremlin_tmpl_num: Optional[int] = -1, gremlin_prompt: Optional[str] = None, max_graph_items=30, topk_return_results=20, @@ -141,7 +141,7 @@ async def rag_answer_streaming( custom_related_information: str, answer_prompt: str, keywords_extract_prompt: str, - gremlin_tmpl_num: Optional[int] = 2, + gremlin_tmpl_num: Optional[int] = -1, gremlin_prompt: Optional[str] = None, ) -> AsyncGenerator[Tuple[str, str, str, str], None]: """ @@ -256,7 +256,7 @@ def toggle_slider(enable): value="reranker" if online_rerank else "bleu", label="Rerank method", ) - example_num = gr.Number(value=2, label="Template Num (0 to disable it) ", precision=0) + example_num = gr.Number(value=-1, label="Template Num (0 means no example, -1 means no text2gql) ", precision=0) graph_ratio = gr.Slider(0, 1, 0.6, label="Graph Ratio", step=0.1, interactive=False) graph_vector_radio.change( diff --git a/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py b/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py index 66e176d01..9f3d64d39 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py @@ -128,7 +128,7 @@ def query_graphdb( max_v_prop_len: int = 2048, max_e_prop_len: int = 256, prop_to_match: Optional[str] = None, - num_gremlin_generate_example: Optional[int] = 0, + num_gremlin_generate_example: Optional[int] = -1, gremlin_prompt: Optional[str] = prompt.gremlin_generate_prompt, ): """ diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py index 5096bb6b2..e8f8d6943 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py @@ -84,7 +84,7 @@ def __init__( embedding: Optional[BaseEmbedding] = None, max_v_prop_len: Optional[int] = 2048, max_e_prop_len: Optional[int] = 256, - num_gremlin_generate_example: Optional[int] = 0, + num_gremlin_generate_example: Optional[int] = -1, gremlin_prompt: Optional[str] = None, ): self._client = PyHugeClient( @@ -115,7 +115,9 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # initial flag: -1 means no result, 0 means subgraph query, 1 means gremlin query context["graph_result_flag"] = -1 # 1. Try to perform a query based on the generated gremlin - context = self._gremlin_generate_query(context) + log.debug("_num_gremlin_generate_example=%s", self._num_gremlin_generate_example) + if self._num_gremlin_generate_example >= 0: + context = self._gremlin_generate_query(context) # 2. Try to perform a query based on subgraph-search if the previous query failed if not context.get("graph_result"): context = self._subgraph_query(context) From 9f245a0bd0fb5e1d084787c25a08e951d25cd3db Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 28 Apr 2025 17:11:31 +0800 Subject: [PATCH 09/49] remove log info Change-Id: I803b36fde6d0b0291dc6fe5cc40c37a946b354f0 --- .../src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py | 1 - 1 file changed, 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py index e8f8d6943..4b94c0732 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py @@ -115,7 +115,6 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # initial flag: -1 means no result, 0 means subgraph query, 1 means gremlin query context["graph_result_flag"] = -1 # 1. Try to perform a query based on the generated gremlin - log.debug("_num_gremlin_generate_example=%s", self._num_gremlin_generate_example) if self._num_gremlin_generate_example >= 0: context = self._gremlin_generate_query(context) # 2. Try to perform a query based on subgraph-search if the previous query failed From 87cb1cf80c3f3e0fed84ac2113a35b3ee27e8dc1 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 29 Apr 2025 17:02:55 +0800 Subject: [PATCH 10/49] temperature 0.01 Change-Id: I1e3f97afeaa853250966a66c096582339f3c51d6 --- hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py index 74527d16b..73d0600a8 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py @@ -213,7 +213,7 @@ def apply_llm_config(current_llm_config, arg1, arg2, arg3, arg4, origin_call=Non test_url = getattr(llm_settings, f"openai_{current_llm_config}_api_base") + "/chat/completions" data = { "model": arg3, - "temperature": 0.0, + "temperature": 0.01, "messages": [{"role": "user", "content": "test"}], } headers = {"Authorization": f"Bearer {arg1}"} From 4cbb47abbc6774f056ace8e63a80a8690ecf3fae Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 29 Apr 2025 17:53:38 +0800 Subject: [PATCH 11/49] modify prompt to only output gql Change-Id: I56329c6aa219fd04198519ee1d1220e395fe82f2 --- hugegraph-llm/src/hugegraph_llm/config/prompt_config.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py b/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py index ca2b7b72c..762eacf41 100644 --- a/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py +++ b/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py @@ -233,6 +233,9 @@ class PromptConfig(BasePromptConfig): Generate Gremlin from the Following User Query: {query} + +**Important: Do NOT output any analysis, reasoning steps, explanations or any other text. ONLY return the Gremlin query wrapped in a code block with ```gremlin``` fences.** + The generated Gremlin is: """ From 36116e605b27103a27c1cdf9bbae99a4daaa962b Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Wed, 7 May 2025 16:23:11 +0800 Subject: [PATCH 12/49] test_api_connection Change-Id: Id93b59ca9a325f79623741d919a18d8f64c12ccd --- hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py index 73d0600a8..a9b7bc9b5 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py @@ -214,7 +214,7 @@ def apply_llm_config(current_llm_config, arg1, arg2, arg3, arg4, origin_call=Non data = { "model": arg3, "temperature": 0.01, - "messages": [{"role": "user", "content": "test"}], + "messages": [{"role": "user", "content": "hello"}], } headers = {"Authorization": f"Bearer {arg1}"} status_code = test_api_connection(test_url, method="POST", headers=headers, body=data, origin_call=origin_call) From bf19a845f104c81160a245d34d5cae218d064586 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 12 May 2025 16:08:09 +0800 Subject: [PATCH 13/49] empty chunk Change-Id: I799844222f194d54990b27d71770543ad6c707ca --- hugegraph-llm/src/hugegraph_llm/models/llms/openai.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/hugegraph-llm/src/hugegraph_llm/models/llms/openai.py b/hugegraph-llm/src/hugegraph_llm/models/llms/openai.py index b18531402..37095fc75 100644 --- a/hugegraph-llm/src/hugegraph_llm/models/llms/openai.py +++ b/hugegraph-llm/src/hugegraph_llm/models/llms/openai.py @@ -186,6 +186,9 @@ async def agenerate_streaming( stream=True ) async for chunk in completions: + if not chunk.choices: + log.debug(f"Received empty choices in streaming chunk: {chunk}") + continue delta = chunk.choices[0].delta if delta.content: token = delta.content From 026c65c595fe938be80bd05c0a920ea28e491a47 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 19 May 2025 15:21:45 +0800 Subject: [PATCH 14/49] build, get and remove property embeddings --- .../hugegraph_op/fetch_graph_data.py | 16 +++++ .../index_op/build_semantic_index.py | 61 +++++++++++++++++++ .../hugegraph_llm/utils/graph_index_utils.py | 12 +++- .../hugegraph_llm/utils/vector_index_utils.py | 3 +- 4 files changed, 88 insertions(+), 4 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/fetch_graph_data.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/fetch_graph_data.py index e93d916b3..313b56659 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/fetch_graph_data.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/fetch_graph_data.py @@ -25,6 +25,7 @@ class FetchGraphData: def __init__(self, graph: PyHugeClient): self.graph = graph + self.schema = self.graph.schema() def run(self, graph_summary: Optional[Dict[str, Any]]) -> Dict[str, Any]: if graph_summary is None: @@ -49,4 +50,19 @@ def res = [:]; if isinstance(result, list) and len(result) > 0: graph_summary.update({key: result[i].get(key) for i, key in enumerate(keys)}) + + index_labels = self.schema.getIndexLabels() + if index_labels: + graph_summary["index_labels"] = [ + { + "id": label.id, + "base_type": label.baseType, + "base_value": label.baseValue, + "name": label.name, + "fields": label.fields, + "index_type": label.indexType + } for label in index_labels + ] + else: + graph_summary["index_labels"] = [] return graph_summary diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index b2bff4953..0d2761fd6 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -26,13 +26,31 @@ from hugegraph_llm.models.embeddings.base import BaseEmbedding from hugegraph_llm.utils.log import log from hugegraph_llm.operators.hugegraph_op.schema_manager import SchemaManager +from pyhugegraph.client import PyHugeClient + +INDEX_PROPERTY_GREMLIN = """ +g.V().hasLabel('{label}') + .project('vid', 'properties') + .by(id()) + .by(valueMap({fields})) + .toList() +""" class BuildSemanticIndex: def __init__(self, embedding: BaseEmbedding): self.index_dir = str(os.path.join(resource_path, huge_settings.graph_name, "graph_vids")) + self.index_dir_prop = str(os.path.join(resource_path, huge_settings.graph_name, "graph_props")) self.vid_index = VectorIndex.from_index_file(self.index_dir) + self.prop_index = VectorIndex.from_index_file(self.index_dir_prop) self.embedding = embedding self.sm = SchemaManager(huge_settings.graph_name) + self.client = PyHugeClient( + url=huge_settings.graph_url, + graph=huge_settings.graph_name, + user=huge_settings.graph_user, + pwd=huge_settings.graph_pwd, + graphspace=huge_settings.graph_space, + ) def _extract_names(self, vertices: list[str]) -> list[str]: return [v.split(":")[1] for v in vertices] @@ -67,4 +85,47 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: "removed_vid_vector_num": removed_num, "added_vid_vector_num": len(added_vids) }) + + if context["index_labels"]: + results = [] + for item in context["index_labels"]: + label = item["base_value"] + fields = item["fields"] + fields_str_list = [f"'{field}'" for field in fields] + fields_for_query = ", ".join(fields_str_list) + gremlin_query = INDEX_PROPERTY_GREMLIN.format( + label=label, + fields=fields_for_query + ) + log.debug("gremlin_query: %s", gremlin_query) + result = self.client.gremlin().exec(gremlin=gremlin_query)["data"] + results.extend(result) + log.debug("results: %s", results) + present_props = [] + seen = set() + for item in results: + vid = item["vid"] + for key, value in item["properties"].items(): + prop = f"{key}: {value}" + if prop not in seen: + seen.add(prop) + present_props.append((vid, prop)) + log.debug("present_props: %s", present_props) + past_props = self.prop_index.properties + removed_props = set(past_props) - set(present_props) + removed_props_num = self.prop_index.remove(removed_props) + added_props = list(set(present_props) - set(past_props)) + if added_props: + added_props_key = [item[1] for item in added_props] + added_props_embeddings = self._get_embeddings_parallel(added_props_key) + log.info("Building vector index for %s props...", len(added_props_key)) + self.prop_index.add(added_props_embeddings, added_props) + self.prop_index.to_index_file(self.index_dir_prop) + else: + log.debug("No update props to build vector index.") + context.update({ + "removed_props_num": removed_props_num, + "added_props_vector_num": len(added_props) + }) + return context diff --git a/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py b/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py index bb9e3c886..f3a22bde2 100644 --- a/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py +++ b/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py @@ -47,9 +47,10 @@ def get_graph_index_info(): def clean_all_graph_index(): VectorIndex.clean(str(os.path.join(resource_path, huge_settings.graph_name, "graph_vids"))) + VectorIndex.clean(str(os.path.join(resource_path, huge_settings.graph_name, "graph_props"))) VectorIndex.clean(str(os.path.join(resource_path, "gremlin_examples"))) - log.warning("Clear graph index and text2gql index successfully!") - gr.Info("Clear graph index and text2gql index successfully!") + log.warning("Clear graph index, property index and text2gql index successfully!") + gr.Info("Clear graph index, property index and text2gql index successfully!") def clean_all_graph_data(): @@ -111,7 +112,12 @@ def update_vid_embedding(): context = builder.run() removed_num = context["removed_vid_vector_num"] added_num = context["added_vid_vector_num"] - return f"Removed {removed_num} vectors, added {added_num} vectors." + if context["index_labels"]: + removed_prop_num = context["removed_props_num"] + added_prop_num = context["added_props_vector_num"] + return (f"Removed {removed_num} vid vectors, added {added_num} vid vectors.\n" + f"Removed {removed_prop_num} prop vectors, added {added_prop_num} prop vectors.") + return f"Removed {removed_num} vid vectors, added {added_num} vid vectors." except Exception as e: # pylint: disable=broad-exception-caught log.error(e) raise gr.Error(str(e)) diff --git a/hugegraph-llm/src/hugegraph_llm/utils/vector_index_utils.py b/hugegraph-llm/src/hugegraph_llm/utils/vector_index_utils.py index ef2b5e9b8..b13646b85 100644 --- a/hugegraph-llm/src/hugegraph_llm/utils/vector_index_utils.py +++ b/hugegraph-llm/src/hugegraph_llm/utils/vector_index_utils.py @@ -59,12 +59,13 @@ def read_documents(input_file, input_text): def get_vector_index_info(): chunk_vector_index = VectorIndex.from_index_file(str(os.path.join(resource_path, huge_settings.graph_name, "chunks"))) graph_vid_vector_index = VectorIndex.from_index_file(str(os.path.join(resource_path, huge_settings.graph_name, "graph_vids"))) + graph_prop_vector_index = VectorIndex.from_index_file(str(os.path.join(resource_path, huge_settings.graph_name, "graph_props"))) return json.dumps({ "embed_dim": chunk_vector_index.index.d, "vector_info": { "chunk_vector_num": chunk_vector_index.index.ntotal, "graph_vid_vector_num": graph_vid_vector_index.index.ntotal, - "graph_properties_vector_num": len(chunk_vector_index.properties) + "graph_properties_vector_num": graph_prop_vector_index.index.ntotal, } }, ensure_ascii=False, indent=2) From f2ee37418eb1cc96e8eecc50a40f2327324af523 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 19 May 2025 16:01:48 +0800 Subject: [PATCH 15/49] limit the number of props to be updated --- .../operators/index_op/build_semantic_index.py | 8 +++++++- .../src/hugegraph_llm/utils/graph_index_utils.py | 2 +- 2 files changed, 8 insertions(+), 2 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 0d2761fd6..0c4e7dc61 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -30,6 +30,7 @@ INDEX_PROPERTY_GREMLIN = """ g.V().hasLabel('{label}') + .limit(100000) .project('vid', 'properties') .by(id()) .by(valueMap({fields})) @@ -85,7 +86,8 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: "removed_vid_vector_num": removed_num, "added_vid_vector_num": len(added_vids) }) - + + context["update_props_flag"] = False if context["index_labels"]: results = [] for item in context["index_labels"]: @@ -115,7 +117,11 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: removed_props = set(past_props) - set(present_props) removed_props_num = self.prop_index.remove(removed_props) added_props = list(set(present_props) - set(past_props)) + if len(added_props) > 100000: + log.warning("The number of props > 100000, please select which properties to vectorize.") + return context if added_props: + context["update_props_flag"] = True added_props_key = [item[1] for item in added_props] added_props_embeddings = self._get_embeddings_parallel(added_props_key) log.info("Building vector index for %s props...", len(added_props_key)) diff --git a/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py b/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py index f3a22bde2..df9ac2825 100644 --- a/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py +++ b/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py @@ -112,7 +112,7 @@ def update_vid_embedding(): context = builder.run() removed_num = context["removed_vid_vector_num"] added_num = context["added_vid_vector_num"] - if context["index_labels"]: + if context["update_props_flag"]: removed_prop_num = context["removed_props_num"] added_prop_num = context["added_props_vector_num"] return (f"Removed {removed_num} vid vectors, added {added_num} vid vectors.\n" From 0e988796a05d8ad1b5fec931c4753b509e307cab Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 20 May 2025 13:24:32 +0800 Subject: [PATCH 16/49] disable pylint and modify limit logic --- .../operators/index_op/build_semantic_index.py | 9 ++++++--- .../src/hugegraph_llm/utils/graph_index_utils.py | 2 +- 2 files changed, 7 insertions(+), 4 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 0c4e7dc61..7f9582d67 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -63,7 +63,7 @@ def _get_embeddings_parallel(self, vids: list[str]) -> list[Any]: embeddings = list(tqdm(executor.map(self.embedding.get_text_embedding, vids), total=len(vids))) return embeddings - def run(self, context: Dict[str, Any]) -> Dict[str, Any]: + def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too-many-statements vertexlabels = self.sm.schema.getSchema()["vertexlabels"] all_pk_flag = all(data.get('id_strategy') == 'PRIMARY_KEY' for data in vertexlabels) @@ -87,7 +87,6 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: "added_vid_vector_num": len(added_vids) }) - context["update_props_flag"] = False if context["index_labels"]: results = [] for item in context["index_labels"]: @@ -115,13 +114,17 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: log.debug("present_props: %s", present_props) past_props = self.prop_index.properties removed_props = set(past_props) - set(present_props) + log.debug("removed_props: %s", removed_props) removed_props_num = self.prop_index.remove(removed_props) added_props = list(set(present_props) - set(past_props)) if len(added_props) > 100000: log.warning("The number of props > 100000, please select which properties to vectorize.") + context.update({ + "removed_props_num": removed_props_num, + "added_props_vector_num": "0 (because of exceeding limit)" + }) return context if added_props: - context["update_props_flag"] = True added_props_key = [item[1] for item in added_props] added_props_embeddings = self._get_embeddings_parallel(added_props_key) log.info("Building vector index for %s props...", len(added_props_key)) diff --git a/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py b/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py index df9ac2825..f3a22bde2 100644 --- a/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py +++ b/hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py @@ -112,7 +112,7 @@ def update_vid_embedding(): context = builder.run() removed_num = context["removed_vid_vector_num"] added_num = context["added_vid_vector_num"] - if context["update_props_flag"]: + if context["index_labels"]: removed_prop_num = context["removed_props_num"] added_prop_num = context["added_props_vector_num"] return (f"Removed {removed_num} vid vectors, added {added_num} vid vectors.\n" From a3b864f1c05c0e53fc093e939713cf5c4cc3fb76 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 20 May 2025 15:36:57 +0800 Subject: [PATCH 17/49] save after removing props --- .../operators/index_op/build_semantic_index.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 7f9582d67..b7c77cf9f 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -98,10 +98,8 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- label=label, fields=fields_for_query ) - log.debug("gremlin_query: %s", gremlin_query) result = self.client.gremlin().exec(gremlin=gremlin_query)["data"] results.extend(result) - log.debug("results: %s", results) present_props = [] seen = set() for item in results: @@ -111,11 +109,11 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- if prop not in seen: seen.add(prop) present_props.append((vid, prop)) - log.debug("present_props: %s", present_props) past_props = self.prop_index.properties removed_props = set(past_props) - set(present_props) - log.debug("removed_props: %s", removed_props) removed_props_num = self.prop_index.remove(removed_props) + if removed_props: + self.prop_index.to_index_file(self.index_dir_prop) added_props = list(set(present_props) - set(past_props)) if len(added_props) > 100000: log.warning("The number of props > 100000, please select which properties to vectorize.") From ac7e1375cf320f2d30b3ddf2a52a41ecd871ac09 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 20 May 2025 15:58:31 +0800 Subject: [PATCH 18/49] change key:value to value --- .../operators/index_op/build_semantic_index.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index b7c77cf9f..96fc3bccb 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -98,17 +98,19 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- label=label, fields=fields_for_query ) + log.debug("gremlin_query: %s", gremlin_query) result = self.client.gremlin().exec(gremlin=gremlin_query)["data"] results.extend(result) present_props = [] seen = set() for item in results: vid = item["vid"] - for key, value in item["properties"].items(): - prop = f"{key}: {value}" + for _, value in item["properties"].items(): + prop = f"{value[0]}" if prop not in seen: seen.add(prop) present_props.append((vid, prop)) + log.debug("present_props: %s", present_props) past_props = self.prop_index.properties removed_props = set(past_props) - set(present_props) removed_props_num = self.prop_index.remove(removed_props) From 8ace5a8435938bb488235b0bba98cf554e411b89 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Thu, 22 May 2025 12:40:43 +0800 Subject: [PATCH 19/49] pv-embedding + set<(pk, pv)> --- .../index_op/build_semantic_index.py | 121 +++++++++++++----- .../operators/index_op/semantic_id_query.py | 37 ++++++ 2 files changed, 129 insertions(+), 29 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 96fc3bccb..38fa2d318 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -17,8 +17,8 @@ import os -from typing import Any, Dict - +from typing import Any, Dict, List, Tuple, Set +from collections import defaultdict from tqdm import tqdm from hugegraph_llm.config import resource_path, huge_settings @@ -63,6 +63,34 @@ def _get_embeddings_parallel(self, vids: list[str]) -> list[Any]: embeddings = list(tqdm(executor.map(self.embedding.get_text_embedding, vids), total=len(vids))) return embeddings + def diff_property_sets( + self, + present_prop_value_to_propset: dict, + past_prop_value_to_propset: dict + ): + """ + 比较新旧属性值映射，得到新增、更新和删除的属性值及其对应的属性集合。 + + 返回： + to_add: List[Tuple[prop_value, Set[(prop_key, prop_value)]]] # 新增属性值（之前不存在） + to_update: List[Tuple[prop_value, Set[(prop_key, prop_value)]]] # 属性值仍存在，但对应属性集合变化 + to_remove: Set[prop_value] # 旧索引中存在，但当前已删除的属性值 + """ + to_add = [] + to_update = [] + to_update_remove = [] + to_remove_keys = set(past_prop_value_to_propset) - set(present_prop_value_to_propset) + to_remove = [past_prop_value_to_propset[k] for k in to_remove_keys] + for prop_value, present_propset in present_prop_value_to_propset.items(): + past_propset = past_prop_value_to_propset.get(prop_value) + if past_propset is None: + to_add.append((prop_value, present_propset)) + elif present_propset != past_propset: + to_update.append((prop_value, present_propset)) + to_update_remove.append((prop_value, past_propset)) + log.debug("Update prop_value: %s, present_propset: %s, past_propset: %s, to_update_remove: %s", prop_value, present_propset, past_propset, to_update_remove) + return to_add, to_update, to_remove, to_update_remove + def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too-many-statements vertexlabels = self.sm.schema.getSchema()["vertexlabels"] all_pk_flag = all(data.get('id_strategy') == 'PRIMARY_KEY' for data in vertexlabels) @@ -72,6 +100,8 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- present_vids = context["vertices"] # Warning: data truncated by fetch_graph_data.py removed_vids = set(past_vids) - set(present_vids) removed_num = self.vid_index.remove(removed_vids) + if removed_num: + self.vid_index.to_index_file(self.index_dir) added_vids = list(set(present_vids) - set(past_vids)) if added_vids: @@ -88,6 +118,7 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- }) if context["index_labels"]: + # 1. get present prop_value_to_propset results = [] for item in context["index_labels"]: label = item["base_value"] @@ -101,40 +132,72 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- log.debug("gremlin_query: %s", gremlin_query) result = self.client.gremlin().exec(gremlin=gremlin_query)["data"] results.extend(result) - present_props = [] - seen = set() + orig_present_prop_value_to_propset = defaultdict(set) for item in results: - vid = item["vid"] - for _, value in item["properties"].items(): - prop = f"{value[0]}" - if prop not in seen: - seen.add(prop) - present_props.append((vid, prop)) - log.debug("present_props: %s", present_props) - past_props = self.prop_index.properties - removed_props = set(past_props) - set(present_props) - removed_props_num = self.prop_index.remove(removed_props) - if removed_props: + properties = item["properties"] + for prop_key, values in properties.items(): + if not values: + continue + prop_value = str(values[0]) + orig_present_prop_value_to_propset[prop_value].add((prop_key, prop_value)) + present_prop_value_to_propset = { + k: frozenset(v) + for k, v in orig_present_prop_value_to_propset.items() + } + log.debug("present_prop_value_to_propset: %s", present_prop_value_to_propset) + # 2. get past prop_value_to_propset + orig_past_prop_value_to_propset = defaultdict(set) + for propset in self.prop_index.properties: + for prop_key, prop_value in propset: + orig_past_prop_value_to_propset[prop_value].update(propset) + past_prop_value_to_propset = { + k: frozenset(v) + for k, v in orig_past_prop_value_to_propset.items() + } + # 3. to add(add pk), to update(change pv), to_remove(delete pk), to_update_remove(change pv) + to_add, to_update, to_remove, to_update_remove = self.diff_property_sets( + present_prop_value_to_propset, + past_prop_value_to_propset + ) + log.debug("to_add: %s", to_add) + log.debug("to_update: %s", to_update) + log.debug("to_remove: %s", to_remove) + log.debug("to_update_remove: %s", to_update_remove) + log.debug("prop properties.pkl: %s", self.prop_index.properties) + # 4. remove + log.info(f"Removing {len(to_remove)} outdated property value") + removed_props_num = self.prop_index.remove(to_remove) + if removed_props_num: self.prop_index.to_index_file(self.index_dir_prop) - added_props = list(set(present_props) - set(past_props)) - if len(added_props) > 100000: - log.warning("The number of props > 100000, please select which properties to vectorize.") - context.update({ - "removed_props_num": removed_props_num, - "added_props_vector_num": "0 (because of exceeding limit)" - }) - return context - if added_props: - added_props_key = [item[1] for item in added_props] - added_props_embeddings = self._get_embeddings_parallel(added_props_key) - log.info("Building vector index for %s props...", len(added_props_key)) - self.prop_index.add(added_props_embeddings, added_props) + # 5. embedding + all_to_add = to_add + to_update + add_propsets = [] + add_prop_values = [] + for prop_value, propset in all_to_add: + add_propsets.append(propset) + add_prop_values.append(prop_value) + if add_prop_values: + if len(add_prop_values) > 100000: + log.warning("The number of props > 100000, please select which properties to vectorize.") + context.update({ + "removed_props_num": removed_props_num, + "added_props_vector_num": "0 (because of exceeding limit)" + }) + return context + if to_update_remove: + update_remove_prop_values = [prop_set for _, prop_set in to_update_remove] + removed_num = self.prop_index.remove(update_remove_prop_values) + self.prop_index.to_index_file(self.index_dir_prop) + log.info(f"In to_update: Removed {removed_num} outdated property set") + added_props_embeddings = self._get_embeddings_parallel(add_prop_values) + self.prop_index.add(added_props_embeddings, add_propsets) + log.info(f"Added {len(added_props_embeddings)} new or updated property embeddings") self.prop_index.to_index_file(self.index_dir_prop) else: log.debug("No update props to build vector index.") context.update({ "removed_props_num": removed_props_num, - "added_props_vector_num": len(added_props) + "added_props_vector_num": len(to_add) }) return context diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py index e3375ef02..a87d083d8 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py @@ -38,7 +38,9 @@ def __init__( vector_dis_threshold: float = huge_settings.vector_dis_threshold, ): self.index_dir = str(os.path.join(resource_path, huge_settings.graph_name, "graph_vids")) + self.index_dir_prop = str(os.path.join(resource_path, huge_settings.graph_name, "graph_props")) self.vector_index = VectorIndex.from_index_file(self.index_dir) + self.prop_index = VectorIndex.from_index_file(self.index_dir_prop) self.embedding = embedding self.by = by self.topk_per_query = topk_per_query @@ -82,6 +84,32 @@ def _fuzzy_match_vids(self, keywords: List[str]) -> List[str]: fuzzy_match_result.extend(results[:self.topk_per_keyword]) return fuzzy_match_result + def _exact_match_properties(self, keywords: List[str]) -> Tuple[List[str], List[str]]: + property_keys = self._client.schema().getPropertyKeys() + log.debug("Property keys: %s", property_keys) + matched_properties = set() + unmatched_keywords = set(keywords) + + for key in property_keys: + for keyword in list(unmatched_keywords): + gremlin_query = f"g.V().has('{key}', '{keyword}').limit(1)" # 一旦命中就够 + resp = self._client.gremlin().exec(gremlin_query) + if resp.get("data"): + matched_properties.add((key, keyword)) + unmatched_keywords.remove(keyword) + + return list(matched_properties), list(unmatched_keywords) + + def _fuzzy_match_props(self, keywords: List[str]) -> List[str]: + fuzzy_match_result = [] + for keyword in keywords: + keyword_vector = self.embedding.get_text_embedding(keyword) + results = self.prop_index.search(keyword_vector, top_k=self.topk_per_keyword, + dis_threshold=float(self.vector_dis_threshold)) + if results: + fuzzy_match_result.extend(results[:self.topk_per_keyword]) + return fuzzy_match_result + def run(self, context: Dict[str, Any]) -> Dict[str, Any]: graph_query_list = set() if self.by == "query": @@ -101,5 +129,14 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: fuzzy_match_vids = self._fuzzy_match_vids(unmatched_vids) log.debug("Fuzzy match vids: %s", fuzzy_match_vids) graph_query_list.update(fuzzy_match_vids) + + if context["index_labels"]: + props_list = set() + exact_match_props, unmatched_props = self._exact_match_properties(keywords) + props_list.update(exact_match_props) + fuzzy_match_props = self._fuzzy_match_props(unmatched_props) + log.debug("Fuzzy match props: %s", fuzzy_match_props) + props_list.update(fuzzy_match_props) + context["match_props"] = list(props_list) context["match_vids"] = list(graph_query_list) return context From a9f92c4a2fafcd765218a68ddbb8ba51e46e668a Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Thu, 22 May 2025 15:33:08 +0800 Subject: [PATCH 20/49] vector/embedding api --- .../src/hugegraph_llm/api/vector_api.py | 30 +++++++++++++++++++ .../src/hugegraph_llm/demo/rag_demo/app.py | 4 ++- .../index_op/build_semantic_index.py | 11 ++++--- .../operators/index_op/semantic_id_query.py | 19 ++++++------ 4 files changed, 48 insertions(+), 16 deletions(-) create mode 100644 hugegraph-llm/src/hugegraph_llm/api/vector_api.py diff --git a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py new file mode 100644 index 000000000..f23fd3a21 --- /dev/null +++ b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + + +from fastapi import status, APIRouter + + +# pylint: disable=too-many-statements +def vector_http_api( + router: APIRouter, + update_embedding_func, +): + @router.post("/vector/embedding", status_code=status.HTTP_200_OK) + def update_embedding_api(): + result = update_embedding_func() + return result diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py index 880ac4066..e20c21fba 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py @@ -23,6 +23,7 @@ from hugegraph_llm.api.admin_api import admin_http_api from hugegraph_llm.api.rag_api import rag_http_api +from hugegraph_llm.api.vector_api import vector_http_api from hugegraph_llm.config import admin_settings, huge_settings, prompt from hugegraph_llm.demo.rag_demo.admin_block import create_admin_block, log_stream from hugegraph_llm.demo.rag_demo.configs_block import ( @@ -32,6 +33,7 @@ apply_reranker_config, apply_graph_config, ) +from hugegraph_llm.utils.graph_index_utils import update_vid_embedding from hugegraph_llm.demo.rag_demo.other_block import create_other_block from hugegraph_llm.demo.rag_demo.other_block import lifespan from hugegraph_llm.demo.rag_demo.rag_block import create_rag_block, rag_answer @@ -173,7 +175,7 @@ def create_app(): apply_reranker_config, ) admin_http_api(api_auth, log_stream) - + vector_http_api(api_auth, update_vid_embedding) app.include_router(api_auth) # Mount Gradio inside FastAPI # TODO: support multi-user login when need diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 38fa2d318..386939b42 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -17,7 +17,7 @@ import os -from typing import Any, Dict, List, Tuple, Set +from typing import Any, Dict from collections import defaultdict from tqdm import tqdm @@ -88,10 +88,9 @@ def diff_property_sets( elif present_propset != past_propset: to_update.append((prop_value, present_propset)) to_update_remove.append((prop_value, past_propset)) - log.debug("Update prop_value: %s, present_propset: %s, past_propset: %s, to_update_remove: %s", prop_value, present_propset, past_propset, to_update_remove) return to_add, to_update, to_remove, to_update_remove - def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too-many-statements + def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too-many-statements, too-many-branches vertexlabels = self.sm.schema.getSchema()["vertexlabels"] all_pk_flag = all(data.get('id_strategy') == 'PRIMARY_KEY' for data in vertexlabels) @@ -165,7 +164,7 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- log.debug("to_update_remove: %s", to_update_remove) log.debug("prop properties.pkl: %s", self.prop_index.properties) # 4. remove - log.info(f"Removing {len(to_remove)} outdated property value") + log.info("Removing %s outdated property value", len(to_remove)) removed_props_num = self.prop_index.remove(to_remove) if removed_props_num: self.prop_index.to_index_file(self.index_dir_prop) @@ -188,10 +187,10 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- update_remove_prop_values = [prop_set for _, prop_set in to_update_remove] removed_num = self.prop_index.remove(update_remove_prop_values) self.prop_index.to_index_file(self.index_dir_prop) - log.info(f"In to_update: Removed {removed_num} outdated property set") + log.info("In to_update: Removed %s outdated property set", removed_num) added_props_embeddings = self._get_embeddings_parallel(add_prop_values) self.prop_index.add(added_props_embeddings, add_propsets) - log.info(f"Added {len(added_props_embeddings)} new or updated property embeddings") + log.info("Added %s new or updated property embeddings", len(added_props_embeddings)) self.prop_index.to_index_file(self.index_dir_prop) else: log.debug("No update props to build vector index.") diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py index a87d083d8..a5ebe927c 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py @@ -53,6 +53,7 @@ def __init__( pwd=huge_settings.graph_pwd, graphspace=huge_settings.graph_space, ) + self.schema = self._client.schema() def _exact_match_vids(self, keywords: List[str]) -> Tuple[List[str], List[str]]: assert keywords, "keywords can't be empty, please check the logic" @@ -129,14 +130,14 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: fuzzy_match_vids = self._fuzzy_match_vids(unmatched_vids) log.debug("Fuzzy match vids: %s", fuzzy_match_vids) graph_query_list.update(fuzzy_match_vids) - - if context["index_labels"]: - props_list = set() - exact_match_props, unmatched_props = self._exact_match_properties(keywords) - props_list.update(exact_match_props) - fuzzy_match_props = self._fuzzy_match_props(unmatched_props) - log.debug("Fuzzy match props: %s", fuzzy_match_props) - props_list.update(fuzzy_match_props) - context["match_props"] = list(props_list) + # index_labels = self.schema.getIndexLabels() + # if index_labels: + # props_list = set() + # exact_match_props, unmatched_props = self._exact_match_properties(keywords) + # props_list.update(exact_match_props) + # fuzzy_match_props = self._fuzzy_match_props(unmatched_props) + # log.debug("Fuzzy match props: %s", fuzzy_match_props) + # props_list.update(fuzzy_match_props) + # context["match_props"] = list(props_list) context["match_vids"] = list(graph_query_list) return context From 89b2d47fff7193f7272416928a06b611b7833eb6 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Thu, 22 May 2025 16:44:35 +0800 Subject: [PATCH 21/49] match keywords and props --- .../operators/index_op/semantic_id_query.py | 23 ++++++++++--------- 1 file changed, 12 insertions(+), 11 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py index a5ebe927c..4c26db340 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py @@ -87,13 +87,14 @@ def _fuzzy_match_vids(self, keywords: List[str]) -> List[str]: def _exact_match_properties(self, keywords: List[str]) -> Tuple[List[str], List[str]]: property_keys = self._client.schema().getPropertyKeys() - log.debug("Property keys: %s", property_keys) + log.debug("property_keys: %s", property_keys) matched_properties = set() unmatched_keywords = set(keywords) for key in property_keys: for keyword in list(unmatched_keywords): - gremlin_query = f"g.V().has('{key}', '{keyword}').limit(1)" # 一旦命中就够 + gremlin_query = f"g.V().has('{key.name}', '{keyword}').limit(1)" + log.debug("prop Gremlin query: %s", gremlin_query) resp = self._client.gremlin().exec(gremlin_query) if resp.get("data"): matched_properties.add((key, keyword)) @@ -130,14 +131,14 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: fuzzy_match_vids = self._fuzzy_match_vids(unmatched_vids) log.debug("Fuzzy match vids: %s", fuzzy_match_vids) graph_query_list.update(fuzzy_match_vids) - # index_labels = self.schema.getIndexLabels() - # if index_labels: - # props_list = set() - # exact_match_props, unmatched_props = self._exact_match_properties(keywords) - # props_list.update(exact_match_props) - # fuzzy_match_props = self._fuzzy_match_props(unmatched_props) - # log.debug("Fuzzy match props: %s", fuzzy_match_props) - # props_list.update(fuzzy_match_props) - # context["match_props"] = list(props_list) + index_labels = self.schema.getIndexLabels() + if index_labels: + props_list = set() + exact_match_props, unmatched_props = self._exact_match_properties(keywords) + props_list.update(exact_match_props) + fuzzy_match_props = self._fuzzy_match_props(unmatched_props) + log.debug("Fuzzy match props: %s", fuzzy_match_props) + props_list.update(fuzzy_match_props) + context["match_props"] = list(props_list) context["match_vids"] = list(graph_query_list) return context From f14087a2f29d41555cdcaae9a82854d11f17a8a1 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Fri, 23 May 2025 00:48:21 +0800 Subject: [PATCH 22/49] fix ollama batch embeddings --- .../hugegraph_llm/models/embeddings/ollama.py | 16 ++++++++++++++-- .../operators/index_op/build_semantic_index.py | 2 +- 2 files changed, 15 insertions(+), 3 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py b/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py index 062e098e8..c34e7d38c 100644 --- a/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py +++ b/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py @@ -63,8 +63,20 @@ def get_texts_embeddings( A list of embedding vectors, where each vector is a list of floats. The order of embeddings matches the order of input texts. """ - response = self.client.embed(model=self.model, input=texts)["embeddings"] - return [list(inner_sequence) for inner_sequence in response] + if hasattr(self.client, "embed"): + response = self.client.embed(model=self.model, input=texts)["embeddings"] + return [list(inner_sequence) for inner_sequence in response] + elif hasattr(self.client, "embeddings"): + embeddings_list = [] + for text_item in texts: + response_item = self.client.embeddings(model=self.model, prompt=text_item) + embeddings_list.append(list(response_item["embedding"])) + return embeddings_list + else: + raise AttributeError( + "Ollama client object has neither 'embed' nor 'embeddings' method. " + "Please check your ollama library version." + ) async def async_get_text_embedding( self, diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 14972abe0..bfe2c9cb9 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -207,7 +207,7 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- removed_num = self.prop_index.remove(update_remove_prop_values) self.prop_index.to_index_file(self.index_dir_prop) log.info("In to_update: Removed %s outdated property set", removed_num) - added_props_embeddings = self._get_embeddings_parallel(add_prop_values) + added_props_embeddings = asyncio.run(self._get_embeddings_parallel(add_prop_values)) self.prop_index.add(added_props_embeddings, add_propsets) log.info("Added %s new or updated property embeddings", len(added_props_embeddings)) self.prop_index.to_index_file(self.index_dir_prop) From ef37855220e6ac619fbf81cf9d60ed720bd24cd1 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Fri, 23 May 2025 12:19:58 +0800 Subject: [PATCH 23/49] fix ollama single embedding --- .../hugegraph_llm/models/embeddings/ollama.py | 39 +++++++++++++++++-- .../index_op/build_semantic_index.py | 8 ---- .../operators/index_op/semantic_id_query.py | 1 + 3 files changed, 37 insertions(+), 11 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py b/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py index c34e7d38c..07207665e 100644 --- a/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py +++ b/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py @@ -39,8 +39,41 @@ def get_text_embedding( self, text: str ) -> List[float]: - """Comment""" - return list(self.client.embed(model=self.model, input=text)["embeddings"][0]) + """Get embedding for a single text. + + This method handles different Ollama client API versions by checking for + the presence of 'embed' or 'embeddings' methods. + """ + if hasattr(self.client, "embed"): + response = self.client.embed(model=self.model, input=text) + try: + # First, try the structure typically seen for single embeddings + # or newer batch responses that might return a single "embedding" key. + return list(response["embedding"]) + except KeyError: + # Fallback for older batch-like response for single item, + # or if "embeddings" is a list with one item. + try: + return list(response["embeddings"][0]) + except (KeyError, IndexError) as e: + raise RuntimeError( + "Failed to extract embedding from Ollama client 'embed' response. " + f"Response: {response}. Error: {e}" + ) + elif hasattr(self.client, "embeddings"): + response = self.client.embeddings(model=self.model, prompt=text) + try: + return list(response["embedding"]) + except KeyError as e: + raise RuntimeError( + "Failed to extract embedding from Ollama client 'embeddings' response. " + f"Response: {response}. Error: {e}" + ) + else: + raise AttributeError( + "Ollama client object has neither 'embed' nor 'embeddings' method. " + "Please check your ollama library version." + ) def get_texts_embeddings( self, @@ -63,7 +96,7 @@ def get_texts_embeddings( A list of embedding vectors, where each vector is a list of floats. The order of embeddings matches the order of input texts. """ - if hasattr(self.client, "embed"): + if hasattr(self.client, "embed"): # pylint: disable=no-else-return response = self.client.embed(model=self.model, input=texts)["embeddings"] return [list(inner_sequence) for inner_sequence in response] elif hasattr(self.client, "embeddings"): diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index bfe2c9cb9..5a422313b 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -87,14 +87,6 @@ def diff_property_sets( present_prop_value_to_propset: dict, past_prop_value_to_propset: dict ): - """ - 比较新旧属性值映射，得到新增、更新和删除的属性值及其对应的属性集合。 - - 返回： - to_add: List[Tuple[prop_value, Set[(prop_key, prop_value)]]] # 新增属性值（之前不存在） - to_update: List[Tuple[prop_value, Set[(prop_key, prop_value)]]] # 属性值仍存在，但对应属性集合变化 - to_remove: Set[prop_value] # 旧索引中存在，但当前已删除的属性值 - """ to_add = [] to_update = [] to_update_remove = [] diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py index 4c26db340..7811e28c7 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py @@ -135,6 +135,7 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: if index_labels: props_list = set() exact_match_props, unmatched_props = self._exact_match_properties(keywords) + log.debug("Exact match props: %s", exact_match_props) props_list.update(exact_match_props) fuzzy_match_props = self._fuzzy_match_props(unmatched_props) log.debug("Fuzzy match props: %s", fuzzy_match_props) From c24d2103ad7a9c82c9fff73c4104a43ce5f76617 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Fri, 23 May 2025 12:41:13 +0800 Subject: [PATCH 24/49] pylint --- hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py | 4 ++-- .../src/hugegraph_llm/operators/index_op/semantic_id_query.py | 3 ++- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py b/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py index 07207665e..ec77e0fdd 100644 --- a/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py +++ b/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py @@ -59,7 +59,7 @@ def get_text_embedding( raise RuntimeError( "Failed to extract embedding from Ollama client 'embed' response. " f"Response: {response}. Error: {e}" - ) + ) from e elif hasattr(self.client, "embeddings"): response = self.client.embeddings(model=self.model, prompt=text) try: @@ -68,7 +68,7 @@ def get_text_embedding( raise RuntimeError( "Failed to extract embedding from Ollama client 'embeddings' response. " f"Response: {response}. Error: {e}" - ) + ) from e else: raise AttributeError( "Ollama client object has neither 'embed' nor 'embeddings' method. " diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py index 7811e28c7..a09ccbfa7 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py @@ -86,7 +86,7 @@ def _fuzzy_match_vids(self, keywords: List[str]) -> List[str]: return fuzzy_match_result def _exact_match_properties(self, keywords: List[str]) -> Tuple[List[str], List[str]]: - property_keys = self._client.schema().getPropertyKeys() + property_keys = self.schema.getPropertyKeys() log.debug("property_keys: %s", property_keys) matched_properties = set() unmatched_keywords = set(keywords) @@ -141,5 +141,6 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: log.debug("Fuzzy match props: %s", fuzzy_match_props) props_list.update(fuzzy_match_props) context["match_props"] = list(props_list) + log.debug("Match props: %s", context["match_props"]) context["match_vids"] = list(graph_query_list) return context From 2953dbcb4874394adce804ea6459f439288d7105 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Fri, 23 May 2025 21:12:23 +0800 Subject: [PATCH 25/49] fix ollama --- .../hugegraph_llm/models/embeddings/ollama.py | 63 ++++--------------- .../index_op/build_semantic_index.py | 1 + 2 files changed, 12 insertions(+), 52 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py b/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py index e06bb4a71..e54750f02 100644 --- a/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py +++ b/hugegraph-llm/src/hugegraph_llm/models/embeddings/ollama.py @@ -30,45 +30,9 @@ def __init__(self, model: str, host: str = "127.0.0.1", port: int = 11434, **kwa self.async_client = ollama.AsyncClient(host=f"http://{host}:{port}", **kwargs) self.embedding_dimension = None - def get_text_embedding( - self, - text: str - ) -> List[float]: - """Get embedding for a single text. - - This method handles different Ollama client API versions by checking for - the presence of 'embed' or 'embeddings' methods. - """ - if hasattr(self.client, "embed"): - response = self.client.embed(model=self.model, input=text) - try: - # First, try the structure typically seen for single embeddings - # or newer batch responses that might return a single "embedding" key. - return list(response["embedding"]) - except KeyError: - # Fallback for older batch-like response for single item, - # or if "embeddings" is a list with one item. - try: - return list(response["embeddings"][0]) - except (KeyError, IndexError) as e: - raise RuntimeError( - "Failed to extract embedding from Ollama client 'embed' response. " - f"Response: {response}. Error: {e}" - ) from e - elif hasattr(self.client, "embeddings"): - response = self.client.embeddings(model=self.model, prompt=text) - try: - return list(response["embedding"]) - except KeyError as e: - raise RuntimeError( - "Failed to extract embedding from Ollama client 'embeddings' response. " - f"Response: {response}. Error: {e}" - ) from e - else: - raise AttributeError( - "Ollama client object has neither 'embed' nor 'embeddings' method. " - "Please check your ollama library version." - ) + def get_text_embedding(self, text: str) -> List[float]: + """Get embedding for a single text.""" + return self.get_texts_embeddings([text])[0] def get_texts_embeddings(self, texts: List[str]) -> List[List[float]]: """Get embeddings for multiple texts in a single batch. @@ -79,20 +43,15 @@ def get_texts_embeddings(self, texts: List[str]) -> List[List[float]]: A list of embedding vectors, where each vector is a list of floats. The order of embeddings matches the order of input texts. """ - if hasattr(self.client, "embed"): # pylint: disable=no-else-return - response = self.client.embed(model=self.model, input=texts)["embeddings"] - return [list(inner_sequence) for inner_sequence in response] - elif hasattr(self.client, "embeddings"): - embeddings_list = [] - for text_item in texts: - response_item = self.client.embeddings(model=self.model, prompt=text_item) - embeddings_list.append(list(response_item["embedding"])) - return embeddings_list - else: - raise AttributeError( - "Ollama client object has neither 'embed' nor 'embeddings' method. " - "Please check your ollama library version." + if not hasattr(self.client, "embed"): + error_message = ( + "The required 'embed' method was not found on the Ollama client. " + "Please ensure your ollama library is up-to-date and supports batch embedding. " ) + raise AttributeError(error_message) + + response = self.client.embed(model=self.model, input=texts)["embeddings"] + return [list(inner_sequence) for inner_sequence in response] # TODO: Add & implement batch processing for async_get_texts_embeddings (refactor here) async def async_get_text_embedding(self, text: str) -> List[float]: diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 135500a9f..36aa1e789 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -26,6 +26,7 @@ from hugegraph_llm.indices.vector_index import VectorIndex from hugegraph_llm.models.embeddings.base import BaseEmbedding from hugegraph_llm.operators.hugegraph_op.schema_manager import SchemaManager +from hugegraph_llm.utils.log import log from pyhugegraph.client import PyHugeClient INDEX_PROPERTY_GREMLIN = """ From cf279f55af90c239fb089bcdaec0022aaeea3a0b Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Fri, 23 May 2025 21:53:21 +0800 Subject: [PATCH 26/49] split run() --- .../index_op/build_semantic_index.py | 83 ++++++++++--------- 1 file changed, 43 insertions(+), 40 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 36aa1e789..f049a4e03 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -18,7 +18,7 @@ import asyncio import os -from typing import Any, Dict +from typing import Any, Dict, List from collections import defaultdict from tqdm import tqdm @@ -104,6 +104,45 @@ def diff_property_sets( to_update_remove.append((prop_value, past_propset)) return to_add, to_update, to_remove, to_update_remove + def get_present_props(self, context: Dict[str, Any]) -> Dict[str, set]: + results = [] + for item in context["index_labels"]: + label = item["base_value"] + fields = item["fields"] + fields_str_list = [f"'{field}'" for field in fields] + fields_for_query = ", ".join(fields_str_list) + gremlin_query = INDEX_PROPERTY_GREMLIN.format( + label=label, + fields=fields_for_query + ) + log.debug("gremlin_query: %s", gremlin_query) + result = self.client.gremlin().exec(gremlin=gremlin_query)["data"] + results.extend(result) + orig_present_prop_value_to_propset = defaultdict(set) + for item in results: + properties = item["properties"] + for prop_key, values in properties.items(): + if not values: + continue + prop_value = str(values[0]) + orig_present_prop_value_to_propset[prop_value].add((prop_key, prop_value)) + present_prop_value_to_propset = { + k: frozenset(v) + for k, v in orig_present_prop_value_to_propset.items() + } + return present_prop_value_to_propset + + def get_past_props(self) -> Dict[str, set]: + orig_past_prop_value_to_propset = defaultdict(set) + for propset in self.prop_index.properties: + for _, prop_value in propset: + orig_past_prop_value_to_propset[prop_value].update(propset) + past_prop_value_to_propset = { + k: frozenset(v) + for k, v in orig_past_prop_value_to_propset.items() + } + return past_prop_value_to_propset + def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too-many-statements, too-many-branches vertexlabels = self.sm.schema.getSchema()["vertexlabels"] all_pk_flag = all(data.get('id_strategy') == 'PRIMARY_KEY' for data in vertexlabels) @@ -131,43 +170,10 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- }) if context["index_labels"]: - # 1. get present prop_value_to_propset - results = [] - for item in context["index_labels"]: - label = item["base_value"] - fields = item["fields"] - fields_str_list = [f"'{field}'" for field in fields] - fields_for_query = ", ".join(fields_str_list) - gremlin_query = INDEX_PROPERTY_GREMLIN.format( - label=label, - fields=fields_for_query - ) - log.debug("gremlin_query: %s", gremlin_query) - result = self.client.gremlin().exec(gremlin=gremlin_query)["data"] - results.extend(result) - orig_present_prop_value_to_propset = defaultdict(set) - for item in results: - properties = item["properties"] - for prop_key, values in properties.items(): - if not values: - continue - prop_value = str(values[0]) - orig_present_prop_value_to_propset[prop_value].add((prop_key, prop_value)) - present_prop_value_to_propset = { - k: frozenset(v) - for k, v in orig_present_prop_value_to_propset.items() - } + present_prop_value_to_propset = self.get_present_props(context) log.debug("present_prop_value_to_propset: %s", present_prop_value_to_propset) - # 2. get past prop_value_to_propset - orig_past_prop_value_to_propset = defaultdict(set) - for propset in self.prop_index.properties: - for prop_key, prop_value in propset: - orig_past_prop_value_to_propset[prop_value].update(propset) - past_prop_value_to_propset = { - k: frozenset(v) - for k, v in orig_past_prop_value_to_propset.items() - } - # 3. to add(add pk), to update(change pv), to_remove(delete pk), to_update_remove(change pv) + past_prop_value_to_propset = self.get_past_props() + log.debug("past_prop_value_to_propset: %s", past_prop_value_to_propset) to_add, to_update, to_remove, to_update_remove = self.diff_property_sets( present_prop_value_to_propset, past_prop_value_to_propset @@ -176,13 +182,10 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- log.debug("to_update: %s", to_update) log.debug("to_remove: %s", to_remove) log.debug("to_update_remove: %s", to_update_remove) - log.debug("prop properties.pkl: %s", self.prop_index.properties) - # 4. remove log.info("Removing %s outdated property value", len(to_remove)) removed_props_num = self.prop_index.remove(to_remove) if removed_props_num: self.prop_index.to_index_file(self.index_dir_prop) - # 5. embedding all_to_add = to_add + to_update add_propsets = [] add_prop_values = [] From 182ecbacc9f34d52e93abfbbc7c4d33af74a4d7c Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Fri, 23 May 2025 22:05:09 +0800 Subject: [PATCH 27/49] using get_texts_embeddings instead of get_text_embeddings --- .../src/hugegraph_llm/operators/index_op/semantic_id_query.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py index a09ccbfa7..5ad8dd928 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py @@ -78,8 +78,8 @@ def _exact_match_vids(self, keywords: List[str]) -> Tuple[List[str], List[str]]: def _fuzzy_match_vids(self, keywords: List[str]) -> List[str]: fuzzy_match_result = [] for keyword in keywords: - keyword_vector = self.embedding.get_text_embedding(keyword) - results = self.vector_index.search(keyword_vector, top_k=self.topk_per_keyword, + keyword_vector = self.embedding.get_texts_embeddings([keyword]) + results = self.vector_index.search(keyword_vector[0], top_k=self.topk_per_keyword, dis_threshold=float(self.vector_dis_threshold)) if results: fuzzy_match_result.extend(results[:self.topk_per_keyword]) From b7e7425a209fc40d7d834858012d3110baf3bfb7 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Fri, 23 May 2025 22:59:36 +0800 Subject: [PATCH 28/49] match properties and change the structure of fuzzy_matched_props --- .../src/hugegraph_llm/config/prompt_config.py | 5 ++++ .../operators/gremlin_generate_task.py | 4 +-- .../operators/hugegraph_op/graph_rag_query.py | 3 +- .../index_op/build_semantic_index.py | 4 +-- .../operators/index_op/semantic_id_query.py | 28 +++++++++++++------ .../operators/llm_op/gremlin_generate.py | 6 ++++ 6 files changed, 37 insertions(+), 13 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py b/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py index 01b92b7ef..2cc16c3c1 100644 --- a/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py +++ b/hugegraph-llm/src/hugegraph_llm/config/prompt_config.py @@ -218,6 +218,8 @@ class PromptConfig(BasePromptConfig): - You may use the vertex ID directly if it’s provided in the context. - If the provided question contains entity names that are very similar to the Vertices IDs, then in the generated Gremlin statement, replace the approximate entities from the original question. For example, if the question includes the name ABC, and the provided VerticesIDs do not contain ABC but only abC, then use abC instead of ABC from the original question when generating the gremlin. +- Similarly, if the user's query refers to specific property names or their values, and these are present or align with the 'Referenced Extracted Properties', actively utilize these properties in your Gremlin query. +For instance, you can use them for filtering vertices or edges (e.g., using `has('propertyName', 'propertyValue')`), or for projecting specific values. The output format must be as follows: ```gremlin @@ -231,6 +233,9 @@ class PromptConfig(BasePromptConfig): Referenced Extracted Vertex IDs Related to the Query: {vertices} +Referenced Extracted Properties Related to the Query (Format: [('property_name', 'property_value'), ...]): +{properties} + Generate Gremlin from the Following User Query: {query} diff --git a/hugegraph-llm/src/hugegraph_llm/operators/gremlin_generate_task.py b/hugegraph-llm/src/hugegraph_llm/operators/gremlin_generate_task.py index 70f3d27d2..1fec32321 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/gremlin_generate_task.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/gremlin_generate_task.py @@ -59,9 +59,9 @@ def example_index_query(self, num_examples): return self def gremlin_generate_synthesize( - self, schema, gremlin_prompt: Optional[str] = None, vertices: Optional[List[str]] = None + self, schema, gremlin_prompt: Optional[str] = None, vertices: Optional[List[str]] = None, properties: Optional[List[tuple]] = None ): - self.operators.append(GremlinGenerateSynthesize(self.llm, schema, vertices, gremlin_prompt)) + self.operators.append(GremlinGenerateSynthesize(self.llm, schema, vertices, gremlin_prompt, properties)) return self def print_result(self): diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py index 6012b7534..37c9265c8 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py @@ -129,12 +129,13 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: def _gremlin_generate_query(self, context: Dict[str, Any]) -> Dict[str, Any]: query = context["query"] vertices = context.get("match_vids") + properties = context.get("match_props") query_embedding = context.get("query_embedding") self._gremlin_generator.clear() self._gremlin_generator.example_index_query(num_examples=self._num_gremlin_generate_example) gremlin_response = self._gremlin_generator.gremlin_generate_synthesize( - context["simple_schema"], vertices=vertices, gremlin_prompt=self._gremlin_prompt + context["simple_schema"], vertices=vertices, gremlin_prompt=self._gremlin_prompt, properties=properties ).run(query=query, query_embedding=query_embedding) if self._num_gremlin_generate_example > 0: gremlin = gremlin_response["result"] diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index f049a4e03..919626d48 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -171,9 +171,9 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- if context["index_labels"]: present_prop_value_to_propset = self.get_present_props(context) - log.debug("present_prop_value_to_propset: %s", present_prop_value_to_propset) + # log.debug("present_prop_value_to_propset: %s", present_prop_value_to_propset) past_prop_value_to_propset = self.get_past_props() - log.debug("past_prop_value_to_propset: %s", past_prop_value_to_propset) + # log.debug("past_prop_value_to_propset: %s", past_prop_value_to_propset) to_add, to_update, to_remove, to_update_remove = self.diff_property_sets( present_prop_value_to_propset, past_prop_value_to_propset diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py index 5ad8dd928..6a42fef9b 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py @@ -17,7 +17,7 @@ import os -from typing import Dict, Any, Literal, List, Tuple +from typing import Dict, Any, Literal, List, Tuple, Union, FrozenSet from hugegraph_llm.config import resource_path, huge_settings from hugegraph_llm.indices.vector_index import VectorIndex @@ -90,33 +90,45 @@ def _exact_match_properties(self, keywords: List[str]) -> Tuple[List[str], List[ log.debug("property_keys: %s", property_keys) matched_properties = set() unmatched_keywords = set(keywords) - for key in property_keys: for keyword in list(unmatched_keywords): gremlin_query = f"g.V().has('{key.name}', '{keyword}').limit(1)" log.debug("prop Gremlin query: %s", gremlin_query) resp = self._client.gremlin().exec(gremlin_query) if resp.get("data"): - matched_properties.add((key, keyword)) + matched_properties.add((key.name, keyword)) unmatched_keywords.remove(keyword) - return list(matched_properties), list(unmatched_keywords) def _fuzzy_match_props(self, keywords: List[str]) -> List[str]: fuzzy_match_result = [] for keyword in keywords: - keyword_vector = self.embedding.get_text_embedding(keyword) - results = self.prop_index.search(keyword_vector, top_k=self.topk_per_keyword, + keyword_vector = self.embedding.get_texts_embeddings([keyword]) + results = self.prop_index.search(keyword_vector[0], top_k=self.topk_per_keyword, dis_threshold=float(self.vector_dis_threshold)) if results: fuzzy_match_result.extend(results[:self.topk_per_keyword]) return fuzzy_match_result + def reformat_mixed_list_to_unique_tuples( + self, mixed_data_list: List[Union[FrozenSet[Tuple[str, str]], Tuple[str, str]]] + ) -> List[Tuple[str, str]]: + unique_tuples = set() + for item in mixed_data_list: + if isinstance(item, (frozenset, set)): + for prop_tuple in item: + if isinstance(prop_tuple, tuple) and len(prop_tuple) == 2: + unique_tuples.add(prop_tuple) + elif isinstance(item, tuple): + if len(item) == 2: + unique_tuples.add(item) + return list(unique_tuples) + def run(self, context: Dict[str, Any]) -> Dict[str, Any]: graph_query_list = set() if self.by == "query": query = context["query"] - query_vector = self.embedding.get_text_embedding(query) + query_vector = self.embedding.get_texts_embeddings([query]) results = self.vector_index.search(query_vector, top_k=self.topk_per_query) if results: graph_query_list.update(results[:self.topk_per_query]) @@ -125,7 +137,6 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: if not keywords: context["match_vids"] = [] return context - exact_match_vids, unmatched_vids = self._exact_match_vids(keywords) graph_query_list.update(exact_match_vids) fuzzy_match_vids = self._fuzzy_match_vids(unmatched_vids) @@ -140,6 +151,7 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: fuzzy_match_props = self._fuzzy_match_props(unmatched_props) log.debug("Fuzzy match props: %s", fuzzy_match_props) props_list.update(fuzzy_match_props) + props_list = self.reformat_mixed_list_to_unique_tuples(props_list) context["match_props"] = list(props_list) log.debug("Match props: %s", context["match_props"]) context["match_vids"] = list(graph_query_list) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/llm_op/gremlin_generate.py b/hugegraph-llm/src/hugegraph_llm/operators/llm_op/gremlin_generate.py index 09e01e5ee..9deec2629 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/llm_op/gremlin_generate.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/llm_op/gremlin_generate.py @@ -33,6 +33,7 @@ def __init__( schema: Optional[Union[dict, str]] = None, vertices: Optional[List[str]] = None, gremlin_prompt: Optional[str] = None, + properties: Optional[List[tuple]] = None ) -> None: self.llm = llm or LLMs().get_text2gql_llm() if isinstance(schema, dict): @@ -40,6 +41,7 @@ def __init__( self.schema = schema self.vertices = vertices self.gremlin_prompt = gremlin_prompt or prompt.gremlin_generate_prompt + self.properties = properties def _extract_response(self, response: str, label: str = "gremlin") -> str: match = re.search(f"```{label}(.*?)```", response, re.DOTALL) @@ -70,6 +72,7 @@ async def async_generate(self, context: Dict[str, Any]): schema=self.schema, example=self._format_examples(examples=raw_example), vertices=self._format_vertices(vertices=self.vertices), + properties=self.properties ) async_tasks["raw_answer"] = asyncio.create_task(self.llm.agenerate(prompt=raw_prompt)) @@ -79,6 +82,7 @@ async def async_generate(self, context: Dict[str, Any]): schema=self.schema, example=self._format_examples(examples=examples), vertices=self._format_vertices(vertices=self.vertices), + properties=self.properties ) async_tasks["initialized_answer"] = asyncio.create_task(self.llm.agenerate(prompt=init_prompt)) @@ -100,6 +104,7 @@ def sync_generate(self, context: Dict[str, Any]): schema=self.schema, example=self._format_examples(examples=raw_example), vertices=self._format_vertices(vertices=self.vertices), + properties=self.properties ) raw_response = self.llm.generate(prompt=raw_prompt) @@ -109,6 +114,7 @@ def sync_generate(self, context: Dict[str, Any]): schema=self.schema, example=self._format_examples(examples=examples), vertices=self._format_vertices(vertices=self.vertices), + properties=self.properties ) initialized_response = self.llm.generate(prompt=init_prompt) From 52c40cba6c67ff8650e807ffb33c137700ec79d3 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Sat, 24 May 2025 00:57:00 +0800 Subject: [PATCH 29/49] property subgraph_query --- .../operators/hugegraph_op/graph_rag_query.py | 51 ++++++++++--------- .../index_op/build_semantic_index.py | 2 +- .../operators/index_op/semantic_id_query.py | 4 +- 3 files changed, 31 insertions(+), 26 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py index 37c9265c8..14a93756d 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py @@ -53,7 +53,7 @@ """ PROPERTY_QUERY_NEIGHBOR_TPL = """\ -g.V().has('{prop}', within({keywords})) +g.V().has('{current_prop_name}', '{current_prop_value}') .repeat( bothE({edge_labels}).limit({edge_limit}).otherV().dedup() ).times({max_deep}).emit() @@ -65,8 +65,8 @@ ) .by(project('label', 'inV', 'outV', 'props') .by(label()) - .by(inV().values('{prop}')) - .by(outV().values('{prop}')) + .by(inV().values('{current_prop_name}')) + .by(outV().values('{current_prop_name}')) .by(valueMap().by(unfold())) ) .limit({max_items}) @@ -161,12 +161,14 @@ def _gremlin_generate_query(self, context: Dict[str, Any]) -> Dict[str, Any]: def _subgraph_query(self, context: Dict[str, Any]) -> Dict[str, Any]: # 1. Extract params from context matched_vids = context.get("match_vids") + matched_props = context.get("match_props") if isinstance(context.get("max_deep"), int): self._max_deep = context["max_deep"] if isinstance(context.get("max_items"), int): self._max_items = context["max_items"] - if isinstance(context.get("prop_to_match"), str): - self._prop_to_match = context["prop_to_match"] + if isinstance(context.get("match_props"), list): + self._prop_to_match = matched_props[0][0] if matched_props else None + log.debug("Prop to match: %s", self._prop_to_match) # 2. Extract edge_labels from graph schema _, edge_labels = self._extract_labels_from_schema() @@ -208,25 +210,28 @@ def _subgraph_query(self, context: Dict[str, Any]) -> Dict[str, Any]: vertex_degree_list[0].update(vertex_knowledge) else: vertex_degree_list.append(vertex_knowledge) - else: + elif matched_props: # WARN: When will the query enter here? - keywords = context.get("keywords") - assert keywords, "No related property(keywords) for graph query." - keywords_str = ",".join("'" + kw + "'" for kw in keywords) - gremlin_query = PROPERTY_QUERY_NEIGHBOR_TPL.format( - prop=self._prop_to_match, - keywords=keywords_str, - edge_labels=edge_labels_str, - edge_limit=edge_limit_amount, - max_deep=self._max_deep, - max_items=self._max_items, - ) - log.warning("Unable to find vid, downgraded to property query, please confirm if it meets expectation.") + graph_chain_knowledge = set() + for prop_name, prop_value in matched_props: + self._prop_to_match = prop_name + gremlin_query = PROPERTY_QUERY_NEIGHBOR_TPL.format( + current_prop_name=prop_name, + current_prop_value=prop_value, + edge_labels=edge_labels_str, + edge_limit=edge_limit_amount, + max_deep=self._max_deep, + max_items=self._max_items + ) + log.warning("Unable to find vid, downgraded to property query, please confirm if it meets expectation.") + log.debug("property gremlin: %s", gremlin_query) - paths: List[Any] = self._client.gremlin().exec(gremlin=gremlin_query)["data"] - graph_chain_knowledge, vertex_degree_list, knowledge_with_degree = self._format_graph_query_result( - query_paths=paths - ) + paths: List[Any] = self._client.gremlin().exec(gremlin=gremlin_query)["data"] + log.debug("paths: %s", paths) + temp_graph_chain_knowledge, vertex_degree_list, knowledge_with_degree = self._format_graph_query_result( + query_paths=paths + ) + graph_chain_knowledge.update(temp_graph_chain_knowledge) context["graph_result"] = list(graph_chain_knowledge) if context["graph_result"]: @@ -341,7 +346,7 @@ def _process_vertex( node_str = matched_str else: v_cache.add(matched_str) - node_str = f"{item['id']}{{{props_str}}}" + node_str = f"{item['id']}{{{props_str}}}" if use_id_to_match else f"{item['props']}{{{props_str}}}" flat_rel += node_str nodes_with_degree.append(node_str) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 919626d48..340cd73c6 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -18,7 +18,7 @@ import asyncio import os -from typing import Any, Dict, List +from typing import Any, Dict from collections import defaultdict from tqdm import tqdm diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py index 6a42fef9b..f1058794e 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py @@ -110,7 +110,7 @@ def _fuzzy_match_props(self, keywords: List[str]) -> List[str]: fuzzy_match_result.extend(results[:self.topk_per_keyword]) return fuzzy_match_result - def reformat_mixed_list_to_unique_tuples( + def _reformat_mixed_list_to_unique_tuples( self, mixed_data_list: List[Union[FrozenSet[Tuple[str, str]], Tuple[str, str]]] ) -> List[Tuple[str, str]]: unique_tuples = set() @@ -151,7 +151,7 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: fuzzy_match_props = self._fuzzy_match_props(unmatched_props) log.debug("Fuzzy match props: %s", fuzzy_match_props) props_list.update(fuzzy_match_props) - props_list = self.reformat_mixed_list_to_unique_tuples(props_list) + props_list = self._reformat_mixed_list_to_unique_tuples(props_list) context["match_props"] = list(props_list) log.debug("Match props: %s", context["match_props"]) context["match_vids"] = list(graph_query_list) From 10e76cd417101a32eb9be4e74b6e31b071912e71 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 26 May 2025 09:31:43 +0800 Subject: [PATCH 30/49] pylint --- .../src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py index 14a93756d..7eef086ce 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py @@ -237,7 +237,7 @@ def _subgraph_query(self, context: Dict[str, Any]) -> Dict[str, Any]: if context["graph_result"]: context["graph_result_flag"] = 0 context["vertex_degree_list"] = [list(vertex_degree) for vertex_degree in vertex_degree_list] - context["knowledge_with_degree"] = knowledge_with_degree + context["knowledge_with_degree"] = knowledge_with_degree # pylint: disable=possibly-used-before-assignment context["graph_context_head"] = ( f"The following are graph knowledge in {self._max_deep} depth, e.g:\n" "`vertexA--[links]-->vertexB<--[links]--vertexC ...`" From 923502aa5a9e73eaba6b1d76f42441fd0a9bd228 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 26 May 2025 09:35:10 +0800 Subject: [PATCH 31/49] pylint --- .../src/hugegraph_llm/operators/gremlin_generate_task.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/gremlin_generate_task.py b/hugegraph-llm/src/hugegraph_llm/operators/gremlin_generate_task.py index 1fec32321..2f4e0d201 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/gremlin_generate_task.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/gremlin_generate_task.py @@ -59,7 +59,11 @@ def example_index_query(self, num_examples): return self def gremlin_generate_synthesize( - self, schema, gremlin_prompt: Optional[str] = None, vertices: Optional[List[str]] = None, properties: Optional[List[tuple]] = None + self, + schema, + gremlin_prompt: Optional[str] = None, + vertices: Optional[List[str]] = None, + properties: Optional[List[tuple]] = None ): self.operators.append(GremlinGenerateSynthesize(self.llm, schema, vertices, gremlin_prompt, properties)) return self From 739479abe93c39d38c47aabb382784efba443f43 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 26 May 2025 13:44:35 +0800 Subject: [PATCH 32/49] limit 2 times one day --- .../src/hugegraph_llm/api/vector_api.py | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py index f23fd3a21..c9d5e2338 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py @@ -16,8 +16,11 @@ # under the License. -from fastapi import status, APIRouter +from fastapi import status, APIRouter, HTTPException +from datetime import datetime, date +from hugegraph_llm.utils.log import log +API_CALL_TRACKER = {} # pylint: disable=too-many-statements def vector_http_api( @@ -25,6 +28,18 @@ def vector_http_api( update_embedding_func, ): @router.post("/vector/embedding", status_code=status.HTTP_200_OK) - def update_embedding_api(): + def update_embedding_api(daily_limit: int = 2): + today = date.today() + for call_date in list(API_CALL_TRACKER.keys()): + if call_date != today: + del API_CALL_TRACKER[call_date] + call_count = API_CALL_TRACKER.get(today, 0) + if call_count >= daily_limit: + log.error("Rate limit exceeded for update_vid_embedding. Maximum %d calls per day.", daily_limit) + raise HTTPException( + status_code=status.HTTP_429_TOO_MANY_REQUESTS, + detail=f"API call limit of {daily_limit} per day exceeded. Please try again tomorrow." + ) + API_CALL_TRACKER[today] = call_count + 1 result = update_embedding_func() return result From 9acaa96c47d9c450b7e0c1cc8ae8cdc283ed7ec6 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 26 May 2025 13:49:41 +0800 Subject: [PATCH 33/49] pylint --- hugegraph-llm/src/hugegraph_llm/api/vector_api.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py index c9d5e2338..1a169158e 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py @@ -16,8 +16,8 @@ # under the License. +from datetime import date from fastapi import status, APIRouter, HTTPException -from datetime import datetime, date from hugegraph_llm.utils.log import log API_CALL_TRACKER = {} From 86e609814add523a10cf18f7f1dce81ec5820004 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 26 May 2025 15:11:29 +0800 Subject: [PATCH 34/49] inner --- .../src/hugegraph_llm/config/models/base_prompt_config.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/config/models/base_prompt_config.py b/hugegraph-llm/src/hugegraph_llm/config/models/base_prompt_config.py index 5341fd801..ab4168805 100644 --- a/hugegraph-llm/src/hugegraph_llm/config/models/base_prompt_config.py +++ b/hugegraph-llm/src/hugegraph_llm/config/models/base_prompt_config.py @@ -22,9 +22,9 @@ from hugegraph_llm.utils.log import log dir_name = os.path.dirname +package_path = dir_name(dir_name(dir_name(dir_name(dir_name(os.path.abspath(__file__)))))) F_NAME = "config_prompt.yaml" -yaml_file_path = os.path.join(os.getcwd(), "src/hugegraph_llm/resources/demo", F_NAME) - +yaml_file_path = os.path.join(package_path, f"src/hugegraph_llm/resources/demo/{F_NAME}") class BasePromptConfig: graph_schema: str = '' From b5f31ffaabab53eb03b3fbd1217d52f8af2ff700 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 26 May 2025 17:35:39 +0800 Subject: [PATCH 35/49] format Change-Id: Ica35d454bf7a1fa12d3cfb14332530565cd08f94 --- .../src/hugegraph_llm/operators/llm_op/gremlin_generate.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/llm_op/gremlin_generate.py b/hugegraph-llm/src/hugegraph_llm/operators/llm_op/gremlin_generate.py index 9deec2629..57cdafa7d 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/llm_op/gremlin_generate.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/llm_op/gremlin_generate.py @@ -45,8 +45,10 @@ def __init__( def _extract_response(self, response: str, label: str = "gremlin") -> str: match = re.search(f"```{label}(.*?)```", response, re.DOTALL) - assert match is not None, f"No {label} found in response: {response}" - return match.group(1).strip() + if match: + return match.group(1).strip() + else: + return response.strip() def _format_examples(self, examples: Optional[List[Dict[str, str]]]) -> Optional[str]: if not examples: From 50ec338d3f31659b877512c820b49fb062a7c62c Mon Sep 17 00:00:00 2001 From: imbajin Date: Mon, 26 May 2025 19:46:32 +0800 Subject: [PATCH 36/49] fix lint & comment --- hugegraph-llm/src/hugegraph_llm/api/vector_api.py | 13 +++++++++---- .../operators/index_op/build_semantic_index.py | 9 +++++---- 2 files changed, 14 insertions(+), 8 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py index 1a169158e..681592f8d 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py @@ -17,18 +17,23 @@ from datetime import date + from fastapi import status, APIRouter, HTTPException + from hugegraph_llm.utils.log import log API_CALL_TRACKER = {} + # pylint: disable=too-many-statements -def vector_http_api( - router: APIRouter, - update_embedding_func, -): +def vector_http_api(router: APIRouter, update_embedding_func): @router.post("/vector/embedding", status_code=status.HTTP_200_OK) def update_embedding_api(daily_limit: int = 2): + """ + Updates the vector embedding. + This endpoint is rate-limited. By default, it allows 2 calls per day. (Note: Not Thread-Safe!) + The rate limit is tracked per day and resets at midnight. + """ today = date.today() for call_date in list(API_CALL_TRACKER.keys()): if call_date != today: diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 340cd73c6..212640203 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -18,8 +18,9 @@ import asyncio import os -from typing import Any, Dict from collections import defaultdict +from typing import Any + from tqdm import tqdm from hugegraph_llm.config import resource_path, huge_settings @@ -104,7 +105,7 @@ def diff_property_sets( to_update_remove.append((prop_value, past_propset)) return to_add, to_update, to_remove, to_update_remove - def get_present_props(self, context: Dict[str, Any]) -> Dict[str, set]: + def get_present_props(self, context: dict[str, Any]) -> dict[str, frozenset[tuple[str, str]]]: results = [] for item in context["index_labels"]: label = item["base_value"] @@ -132,7 +133,7 @@ def get_present_props(self, context: Dict[str, Any]) -> Dict[str, set]: } return present_prop_value_to_propset - def get_past_props(self) -> Dict[str, set]: + def get_past_props(self) -> dict[str, frozenset[tuple[str, str]]]: orig_past_prop_value_to_propset = defaultdict(set) for propset in self.prop_index.properties: for _, prop_value in propset: @@ -143,7 +144,7 @@ def get_past_props(self) -> Dict[str, set]: } return past_prop_value_to_propset - def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too-many-statements, too-many-branches + def run(self, context: dict[str, Any]) -> dict[str, Any]: # pylint: disable=too-many-statements, too-many-branches vertexlabels = self.sm.schema.getSchema()["vertexlabels"] all_pk_flag = all(data.get('id_strategy') == 'PRIMARY_KEY' for data in vertexlabels) From 7d9d67cbd9bf54d6abfb6433d7e75e83155fef55 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Mon, 26 May 2025 21:12:44 +0800 Subject: [PATCH 37/49] text2gremlin api Change-Id: Ie99469b659abe5efd53d8a52581c4ad91622ef6f --- .../hugegraph_llm/api/models/rag_requests.py | 9 ++++++ .../src/hugegraph_llm/api/rag_api.py | 29 +++++++++++++++++++ .../src/hugegraph_llm/demo/rag_demo/app.py | 7 ++++- 3 files changed, 44 insertions(+), 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py index 3170e702e..58d486841 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py +++ b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py @@ -116,3 +116,12 @@ class RerankerConfigRequest(BaseModel): class LogStreamRequest(BaseModel): admin_token: Optional[str] = None log_file: Optional[str] = "llm-server.log" + +class GremlinGenerateRequest(BaseModel): + query: str + example_num: int + schema_str: str + gremlin_prompt: Optional[str] = Query( + prompt.gremlin_generate_prompt, + description="Prompt for the Text2Gremlin query.", + ) diff --git a/hugegraph-llm/src/hugegraph_llm/api/rag_api.py b/hugegraph-llm/src/hugegraph_llm/api/rag_api.py index 2621220c9..cf5118165 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/rag_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/rag_api.py @@ -26,6 +26,7 @@ LLMConfigRequest, RerankerConfigRequest, GraphRAGRequest, + GremlinGenerateRequest, ) from hugegraph_llm.config import huge_settings from hugegraph_llm.api.models.rag_response import RAGResponse @@ -41,6 +42,7 @@ def rag_http_api( apply_llm_conf, apply_embedding_conf, apply_reranker_conf, + gremlin_generate_func, ): @router.post("/rag", status_code=status.HTTP_200_OK) def rag_answer_api(req: RAGRequest): @@ -178,3 +180,30 @@ def rerank_config_api(req: RerankerConfigRequest): else: res = status.HTTP_501_NOT_IMPLEMENTED return generate_response(RAGResponse(status_code=res, message="Missing Value")) + + @router.post("/text2gremlin", status_code=status.HTTP_200_OK) + def text2gremlin_api(req: GremlinGenerateRequest): + try: + match_result, template_gremlin, raw_gremlin, template_execution_result, raw_execution_result = ( + gremlin_generate_func( + inp=req.query, + example_num=req.example_num, + schema=req.schema_str, + gremlin_prompt=req.gremlin_prompt or prompt.gremlin_generate_prompt, + ) + ) + return { + "match_result": match_result, + "template_gremlin": template_gremlin, + "raw_gremlin": raw_gremlin, + "template_execution_result": template_execution_result, + "raw_execution_result": raw_execution_result, + } + except HTTPException as e: + raise e + except Exception as e: + log.error(f"Error in text2gremlin_api: {e}") + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail="An unexpected error occurred during Gremlin generation.", + ) from e diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py index e20c21fba..8d96524dc 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py @@ -37,7 +37,11 @@ from hugegraph_llm.demo.rag_demo.other_block import create_other_block from hugegraph_llm.demo.rag_demo.other_block import lifespan from hugegraph_llm.demo.rag_demo.rag_block import create_rag_block, rag_answer -from hugegraph_llm.demo.rag_demo.text2gremlin_block import create_text2gremlin_block, graph_rag_recall +from hugegraph_llm.demo.rag_demo.text2gremlin_block import ( + create_text2gremlin_block, + graph_rag_recall, + gremlin_generate, +) from hugegraph_llm.demo.rag_demo.vector_graph_block import create_vector_graph_block from hugegraph_llm.resources.demo.css import CSS from hugegraph_llm.utils.log import log @@ -173,6 +177,7 @@ def create_app(): apply_llm_config, apply_embedding_config, apply_reranker_config, + gremlin_generate, ) admin_http_api(api_auth, log_stream) vector_http_api(api_auth, update_vid_embedding) From c918e739878218970f61834d224fe820fbedd5c9 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 27 May 2025 00:04:55 +0800 Subject: [PATCH 38/49] change params Change-Id: I04b1a71a5eda13c8369cd9c4b99e83f6c1373405 --- .../hugegraph_llm/api/models/rag_requests.py | 34 ++++++++-- .../src/hugegraph_llm/api/rag_api.py | 27 ++++---- .../src/hugegraph_llm/demo/rag_demo/app.py | 4 +- .../demo/rag_demo/text2gremlin_block.py | 62 ++++++++++++++++++- 4 files changed, 103 insertions(+), 24 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py index 58d486841..94e71f79b 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py +++ b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py @@ -15,13 +15,13 @@ # specific language governing permissions and limitations # under the License. -from typing import Optional, Literal - +from typing import Optional, Literal, List +from enum import Enum from fastapi import Query -from pydantic import BaseModel +from pydantic import BaseModel, Field from hugegraph_llm.config import prompt - +from hugegraph_llm.config import huge_settings class GraphConfigRequest(BaseModel): url: str = Query('127.0.0.1:8080', description="hugegraph client url.") @@ -117,11 +117,33 @@ class LogStreamRequest(BaseModel): admin_token: Optional[str] = None log_file: Optional[str] = "llm-server.log" +class GremlinOutputType(str, Enum): + MATCH_RESULT = "match_result" + TEMPLATE_GREMLIN = "template_gremlin" + RAW_GREMLIN = "raw_gremlin" + TEMPLATE_EXECUTION_RESULT = "template_execution_result" + RAW_EXECUTION_RESULT = "raw_execution_result" + class GremlinGenerateRequest(BaseModel): query: str - example_num: int - schema_str: str + example_num: Optional[int] = Query( + 0, + description="Number of Gremlin templates to use.(0 means no templates)" + ) + schema_str: Optional[str] = Query( + huge_settings.graph_name, + description="graph name." + ) gremlin_prompt: Optional[str] = Query( prompt.gremlin_generate_prompt, description="Prompt for the Text2Gremlin query.", ) + output_types: Optional[List[GremlinOutputType]] = Query( + Field(default=None), + description=""" + a list can contain "match_result","template_gremlin", + "raw_gremlin","template_execution_result","raw_execution_result" + You can specify which type of result do you need + """ + ) + diff --git a/hugegraph-llm/src/hugegraph_llm/api/rag_api.py b/hugegraph-llm/src/hugegraph_llm/api/rag_api.py index cf5118165..49686c26e 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/rag_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/rag_api.py @@ -42,7 +42,7 @@ def rag_http_api( apply_llm_conf, apply_embedding_conf, apply_reranker_conf, - gremlin_generate_func, + gremlin_generate_selective_func, ): @router.post("/rag", status_code=status.HTTP_200_OK) def rag_answer_api(req: RAGRequest): @@ -184,21 +184,18 @@ def rerank_config_api(req: RerankerConfigRequest): @router.post("/text2gremlin", status_code=status.HTTP_200_OK) def text2gremlin_api(req: GremlinGenerateRequest): try: - match_result, template_gremlin, raw_gremlin, template_execution_result, raw_execution_result = ( - gremlin_generate_func( - inp=req.query, - example_num=req.example_num, - schema=req.schema_str, - gremlin_prompt=req.gremlin_prompt or prompt.gremlin_generate_prompt, - ) + output_types_str_list = None + if req.output_types: + output_types_str_list = [ot.value for ot in req.output_types] + + response_dict = gremlin_generate_selective_func( + inp=req.query, + example_num=req.example_num, + schema_input=req.schema_str, + gremlin_prompt_input=req.gremlin_prompt, + requested_outputs=output_types_str_list, ) - return { - "match_result": match_result, - "template_gremlin": template_gremlin, - "raw_gremlin": raw_gremlin, - "template_execution_result": template_execution_result, - "raw_execution_result": raw_execution_result, - } + return response_dict except HTTPException as e: raise e except Exception as e: diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py index 8d96524dc..7c00a6b2d 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py @@ -40,7 +40,7 @@ from hugegraph_llm.demo.rag_demo.text2gremlin_block import ( create_text2gremlin_block, graph_rag_recall, - gremlin_generate, + gremlin_generate_selective, ) from hugegraph_llm.demo.rag_demo.vector_graph_block import create_vector_graph_block from hugegraph_llm.resources.demo.css import CSS @@ -177,7 +177,7 @@ def create_app(): apply_llm_config, apply_embedding_config, apply_reranker_config, - gremlin_generate, + gremlin_generate_selective, ) admin_http_api(api_auth, log_stream) vector_http_api(api_auth, update_vid_embedding) diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/text2gremlin_block.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/text2gremlin_block.py index 0fcc7f7ce..035be61a4 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/text2gremlin_block.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/text2gremlin_block.py @@ -17,7 +17,7 @@ import json import os -from typing import Any, Tuple, Dict, Union, Literal +from typing import Any, Tuple, Dict, Union, Literal, Optional, List, Set import gradio as gr import pandas as pd @@ -214,3 +214,63 @@ def graph_rag_recall( ) context = rag.run(verbose=True, query=query, graph_search=True) return context + +def gremlin_generate_selective( + inp: str, + example_num: int, + schema_input: str, + gremlin_prompt_input: str, + requested_outputs: Optional[List[str]] = None, +) -> Dict[str, Any]: + """ + Wraps the original gremlin_generate function and filters its output + based on the requested_outputs list of strings. + """ + + output_keys = [ + "match_result", + "template_gremlin", + "raw_gremlin", + "template_execution_result", + "raw_execution_result", + ] + log.debug("................ %s", schema_input) + original_results = gremlin_generate(inp, example_num, schema_input, gremlin_prompt_input) + + outputs_dict: Dict[str, Any] = {} + requested_outputs_set: Set[str] + + if not requested_outputs: # None or empty list + requested_outputs_set = set(output_keys) + else: + requested_outputs_set = set(requested_outputs) + + # Handle the case where gremlin_generate might return a 2-tuple error message + if isinstance(original_results, tuple) and len(original_results) == 2 and isinstance(original_results[0], str): + # This indicates an error from gremlin_generate (e.g., "Invalid JSON schema...") + # In this case, we can return the error message for relevant fields or a general error + if "match_result" in requested_outputs_set: # Or any other default error field + outputs_dict["match_result"] = original_results[0] + outputs_dict["error_detail"] = original_results[1] # usually empty string from original + # Or, more simply, return a dictionary indicating the error. + # For simplicity, if an error tuple is returned, and match_result is requested, we populate it. + # This part might need refinement based on how errors should be structured in the selective output. + # For now, if an error tuple is returned, and "match_result" is requested, it gets the error message. + # Other requested fields will be absent. + return outputs_dict # Early exit if gremlin_generate returned an error tuple + + + match_res_orig, template_gremlin_orig, raw_gremlin_orig, template_exec_res_orig, raw_exec_res_orig = original_results + + if "match_result" in requested_outputs_set: + outputs_dict["match_result"] = match_res_orig + if "template_gremlin" in requested_outputs_set: + outputs_dict["template_gremlin"] = template_gremlin_orig + if "raw_gremlin" in requested_outputs_set: + outputs_dict["raw_gremlin"] = raw_gremlin_orig + if "template_execution_result" in requested_outputs_set: + outputs_dict["template_execution_result"] = template_exec_res_orig + if "raw_execution_result" in requested_outputs_set: + outputs_dict["raw_execution_result"] = raw_exec_res_orig + + return outputs_dict From 7b7260a35bb8a7c6fdeb028cbc16fe78ab599e74 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 27 May 2025 00:18:33 +0800 Subject: [PATCH 39/49] change params Change-Id: I8d9d5e3a46e16162c45b1b07a05bd187ebe0f4b1 --- hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py index 94e71f79b..7adc32b81 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py +++ b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py @@ -18,7 +18,7 @@ from typing import Optional, Literal, List from enum import Enum from fastapi import Query -from pydantic import BaseModel, Field +from pydantic import BaseModel from hugegraph_llm.config import prompt from hugegraph_llm.config import huge_settings @@ -139,11 +139,11 @@ class GremlinGenerateRequest(BaseModel): description="Prompt for the Text2Gremlin query.", ) output_types: Optional[List[GremlinOutputType]] = Query( - Field(default=None), + default=None, description=""" a list can contain "match_result","template_gremlin", "raw_gremlin","template_execution_result","raw_execution_result" - You can specify which type of result do you need + You can specify which type of result do you need. Empty means all types. """ ) From 37542111d304b441f1b8e4272da8d86914c7f014 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 27 May 2025 12:43:05 +0800 Subject: [PATCH 40/49] text to json Change-Id: Ibf83629dde9373398dac75b945a7fa19ae029a08 --- hugegraph-llm/src/hugegraph_llm/api/vector_api.py | 1 + 1 file changed, 1 insertion(+) diff --git a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py index 1a169158e..4c95d29ae 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py @@ -42,4 +42,5 @@ def update_embedding_api(daily_limit: int = 2): ) API_CALL_TRACKER[today] = call_count + 1 result = update_embedding_func() + result = {"message": result} return result From 7a2cf2bc5104bbb381c666aa57c965cd971ec578 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 27 May 2025 13:03:08 +0800 Subject: [PATCH 41/49] detail Change-Id: Idb8c1476ebda521e195022f14f6733a33288f552 --- hugegraph-llm/src/hugegraph_llm/api/vector_api.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py index 4c95d29ae..fa3fcd1e4 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py @@ -42,5 +42,5 @@ def update_embedding_api(daily_limit: int = 2): ) API_CALL_TRACKER[today] = call_count + 1 result = update_embedding_func() - result = {"message": result} + result = {"detail": result} return result From 7b3e5e25911f6552865e18ebd97f091becfd777e Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 27 May 2025 18:40:23 +0800 Subject: [PATCH 42/49] add graph_space in text2gremlin api Change-Id: I8923df363da0ddc301b4a3c4833cec478a6c83f9 --- hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py index 7adc32b81..af4442de9 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py +++ b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py @@ -130,6 +130,10 @@ class GremlinGenerateRequest(BaseModel): 0, description="Number of Gremlin templates to use.(0 means no templates)" ) + graphspae: Optional[str] = Query( + huge_settings.graph_space, + description="graph space." + ) schema_str: Optional[str] = Query( huge_settings.graph_name, description="graph name." From cb31b3564b062071bf3329c3c585e57756ba1d53 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 27 May 2025 18:42:45 +0800 Subject: [PATCH 43/49] add graph_space in text2gremlin api Change-Id: I84b2fdbfc0745d1556d5d29059ce5f9dfa311352 --- hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py index af4442de9..f8a84e197 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py +++ b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py @@ -143,7 +143,7 @@ class GremlinGenerateRequest(BaseModel): description="Prompt for the Text2Gremlin query.", ) output_types: Optional[List[GremlinOutputType]] = Query( - default=None, + default=["template_gremlin"], description=""" a list can contain "match_result","template_gremlin", "raw_gremlin","template_execution_result","raw_execution_result" From 9778c3784e771600a120c4c474ac5f2a9bb48c0f Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Tue, 27 May 2025 18:59:42 +0800 Subject: [PATCH 44/49] change default in text2gremlin api Change-Id: I79ef4dc7852788823b249a80d7979e5917d2a8c0 --- hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py | 2 +- .../src/hugegraph_llm/demo/rag_demo/text2gremlin_block.py | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py index f8a84e197..f06df12cd 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py +++ b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py @@ -143,7 +143,7 @@ class GremlinGenerateRequest(BaseModel): description="Prompt for the Text2Gremlin query.", ) output_types: Optional[List[GremlinOutputType]] = Query( - default=["template_gremlin"], + default=[GremlinOutputType.TEMPLATE_GREMLIN], description=""" a list can contain "match_result","template_gremlin", "raw_gremlin","template_execution_result","raw_execution_result" diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/text2gremlin_block.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/text2gremlin_block.py index 035be61a4..b2822a1b1 100644 --- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/text2gremlin_block.py +++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/text2gremlin_block.py @@ -234,7 +234,6 @@ def gremlin_generate_selective( "template_execution_result", "raw_execution_result", ] - log.debug("................ %s", schema_input) original_results = gremlin_generate(inp, example_num, schema_input, gremlin_prompt_input) outputs_dict: Dict[str, Any] = {} From cf6d2e4b79dbae8ddca2e8a84a2bac30a948bed2 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Wed, 28 May 2025 17:22:25 +0800 Subject: [PATCH 45/49] split build_semantic_index.run() --- .../index_op/build_semantic_index.py | 108 ++++---- .../hugegraph_llm/operators/index_op/test.py | 241 ++++++++++++++++++ 2 files changed, 300 insertions(+), 49 deletions(-) create mode 100644 hugegraph-llm/src/hugegraph_llm/operators/index_op/test.py diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 340cd73c6..5c5b88921 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -143,10 +143,7 @@ def get_past_props(self) -> Dict[str, set]: } return past_prop_value_to_propset - def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too-many-statements, too-many-branches - vertexlabels = self.sm.schema.getSchema()["vertexlabels"] - all_pk_flag = all(data.get('id_strategy') == 'PRIMARY_KEY' for data in vertexlabels) - + def _update_vid_index(self, context: dict[str, Any], all_pk_flag: bool) -> tuple[int, int]: past_vids = self.vid_index.properties # TODO: We should build vid vector index separately, especially when the vertices may be very large present_vids = context["vertices"] # Warning: data truncated by fetch_graph_data.py @@ -164,56 +161,69 @@ def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too- self.vid_index.to_index_file(self.index_dir) else: log.debug("No update vertices to build vector index.") + return removed_num, len(added_vids) + + def _update_property_index(self, context: dict[str, Any]) -> tuple[int, int | str]: + removed_props_num = 0 + added_props_vector_num: int | str = 0 + + present_prop_value_to_propset = self.get_present_props(context) + # log.debug("present_prop_value_to_propset: %s", present_prop_value_to_propset) + past_prop_value_to_propset = self.get_past_props() + # log.debug("past_prop_value_to_propset: %s", past_prop_value_to_propset) + to_add, to_update, to_remove, to_update_remove = self.diff_property_sets( + present_prop_value_to_propset, + past_prop_value_to_propset + ) + log.debug("to_add: %s", to_add) + log.debug("to_update: %s", to_update) + log.debug("to_remove: %s", to_remove) + log.debug("to_update_remove: %s", to_update_remove) + log.info("Removing %s outdated property value", len(to_remove)) + removed_props_num = self.prop_index.remove(to_remove) + if removed_props_num: + self.prop_index.to_index_file(self.index_dir_prop) + all_to_add = to_add + to_update + add_propsets = [] + add_prop_values = [] + for prop_value, propset in all_to_add: + add_propsets.append(propset) + add_prop_values.append(prop_value) + if add_prop_values: + if len(add_prop_values) > 100000: + log.warning("The number of props > 100000, please select which properties to vectorize.") + return removed_props_num, "0 (because of exceeding limit)" + if to_update_remove: + update_remove_prop_values = [prop_set for _, prop_set in to_update_remove] + inner_removed_num = self.prop_index.remove(update_remove_prop_values) + self.prop_index.to_index_file(self.index_dir_prop) + log.info("In to_update: Removed %s outdated property set", inner_removed_num) + added_props_embeddings = asyncio.run(self._get_embeddings_parallel(add_prop_values)) + self.prop_index.add(added_props_embeddings, add_propsets) + log.info("Added %s new or updated property embeddings", len(added_props_embeddings)) + self.prop_index.to_index_file(self.index_dir_prop) + added_props_vector_num = len(to_add) + else: + log.debug("No update props to build vector index.") + added_props_vector_num = 0 + + return removed_props_num, added_props_vector_num + + def run(self, context: Dict[str, Any]) -> Dict[str, Any]: # pylint: disable=too-many-statements, too-many-branches + vertexlabels = self.sm.schema.getSchema()["vertexlabels"] + all_pk_flag = all(data.get('id_strategy') == 'PRIMARY_KEY' for data in vertexlabels) + + removed_vid_num, added_vid_num = self._update_vid_index(context, all_pk_flag) context.update({ - "removed_vid_vector_num": removed_num, - "added_vid_vector_num": len(added_vids) + "removed_vid_vector_num": removed_vid_num, + "added_vid_vector_num": added_vid_num, }) if context["index_labels"]: - present_prop_value_to_propset = self.get_present_props(context) - # log.debug("present_prop_value_to_propset: %s", present_prop_value_to_propset) - past_prop_value_to_propset = self.get_past_props() - # log.debug("past_prop_value_to_propset: %s", past_prop_value_to_propset) - to_add, to_update, to_remove, to_update_remove = self.diff_property_sets( - present_prop_value_to_propset, - past_prop_value_to_propset - ) - log.debug("to_add: %s", to_add) - log.debug("to_update: %s", to_update) - log.debug("to_remove: %s", to_remove) - log.debug("to_update_remove: %s", to_update_remove) - log.info("Removing %s outdated property value", len(to_remove)) - removed_props_num = self.prop_index.remove(to_remove) - if removed_props_num: - self.prop_index.to_index_file(self.index_dir_prop) - all_to_add = to_add + to_update - add_propsets = [] - add_prop_values = [] - for prop_value, propset in all_to_add: - add_propsets.append(propset) - add_prop_values.append(prop_value) - if add_prop_values: - if len(add_prop_values) > 100000: - log.warning("The number of props > 100000, please select which properties to vectorize.") - context.update({ - "removed_props_num": removed_props_num, - "added_props_vector_num": "0 (because of exceeding limit)" - }) - return context - if to_update_remove: - update_remove_prop_values = [prop_set for _, prop_set in to_update_remove] - removed_num = self.prop_index.remove(update_remove_prop_values) - self.prop_index.to_index_file(self.index_dir_prop) - log.info("In to_update: Removed %s outdated property set", removed_num) - added_props_embeddings = asyncio.run(self._get_embeddings_parallel(add_prop_values)) - self.prop_index.add(added_props_embeddings, add_propsets) - log.info("Added %s new or updated property embeddings", len(added_props_embeddings)) - self.prop_index.to_index_file(self.index_dir_prop) - else: - log.debug("No update props to build vector index.") + removed_prop_num, added_prop_num = self._update_property_index(context) context.update({ - "removed_props_num": removed_props_num, - "added_props_vector_num": len(to_add) + "removed_props_num": removed_prop_num, + "added_props_vector_num": added_prop_num, }) return context diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/test.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/test.py new file mode 100644 index 000000000..c74a58fd4 --- /dev/null +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/test.py @@ -0,0 +1,241 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + + +import asyncio +import os +from collections import defaultdict +from typing import Any + +from tqdm import tqdm + +from hugegraph_llm.config import resource_path, huge_settings +from hugegraph_llm.indices.vector_index import VectorIndex +from hugegraph_llm.models.embeddings.base import BaseEmbedding +from hugegraph_llm.operators.hugegraph_op.schema_manager import SchemaManager +from hugegraph_llm.utils.log import log +from pyhugegraph.client import PyHugeClient + +INDEX_PROPERTY_GREMLIN = """ +g.V().hasLabel('{label}') + .limit(100000) + .project('vid', 'properties') + .by(id()) + .by(valueMap({fields})) + .toList() +""" + +class BuildSemanticIndex: + def __init__(self, embedding: BaseEmbedding): + self.index_dir = str(os.path.join(resource_path, huge_settings.graph_name, "graph_vids")) + self.index_dir_prop = str(os.path.join(resource_path, huge_settings.graph_name, "graph_props")) + self.vid_index = VectorIndex.from_index_file(self.index_dir) + self.prop_index = VectorIndex.from_index_file(self.index_dir_prop) + self.embedding = embedding + self.sm = SchemaManager(huge_settings.graph_name) + self.client = PyHugeClient( + url=huge_settings.graph_url, + graph=huge_settings.graph_name, + user=huge_settings.graph_user, + pwd=huge_settings.graph_pwd, + graphspace=huge_settings.graph_space, + ) + + def _extract_names(self, vertices: list[str]) -> list[str]: + return [v.split(":")[1] for v in vertices] + + async def _get_embeddings_parallel(self, vids: list[str]) -> list[Any]: + sem = asyncio.Semaphore(10) + batch_size = 1000 + + # TODO: refactor the logic here (call async method) + async def get_embeddings_with_semaphore(vid_list: list[str]) -> Any: + # Executes sync embedding method in a thread pool via loop.run_in_executor, combining async programming + # with multi-threading capabilities. + # This pattern avoids blocking the event loop and prepares for a future fully async pipeline. + async with sem: + loop = asyncio.get_running_loop() + # FIXME: [PR-238] add & use async_get_texts_embedding instead of sync method + return await loop.run_in_executor(None, self.embedding.get_texts_embeddings, vid_list) + + # Split vids into batches of size batch_size + vid_batches = [vids[i:i + batch_size] for i in range(0, len(vids), batch_size)] + + # Create tasks for each batch + tasks = [get_embeddings_with_semaphore(batch) for batch in vid_batches] + + embeddings = [] + with tqdm(total=len(tasks)) as pbar: + for future in asyncio.as_completed(tasks): + batch_embeddings = await future + embeddings.extend(batch_embeddings) # Extend the list with batch results + pbar.update(1) + return embeddings + + def diff_property_sets( + self, + present_prop_value_to_propset: dict, + past_prop_value_to_propset: dict + ): + to_add = [] + to_update = [] + to_update_remove = [] + to_remove_keys = set(past_prop_value_to_propset) - set(present_prop_value_to_propset) + to_remove = [past_prop_value_to_propset[k] for k in to_remove_keys] + for prop_value, present_propset in present_prop_value_to_propset.items(): + past_propset = past_prop_value_to_propset.get(prop_value) + if past_propset is None: + to_add.append((prop_value, present_propset)) + elif present_propset != past_propset: + to_update.append((prop_value, present_propset)) + to_update_remove.append((prop_value, past_propset)) + return to_add, to_update, to_remove, to_update_remove + + def get_present_props(self, context: dict[str, Any]) -> dict[str, frozenset[tuple[str, str]]]: + results = [] + for item in context["index_labels"]: + label = item["base_value"] + fields = item["fields"] + fields_str_list = [f"'{field}'" for field in fields] + fields_for_query = ", ".join(fields_str_list) + gremlin_query = INDEX_PROPERTY_GREMLIN.format( + label=label, + fields=fields_for_query + ) + log.debug("gremlin_query: %s", gremlin_query) + result = self.client.gremlin().exec(gremlin=gremlin_query)["data"] + results.extend(result) + orig_present_prop_value_to_propset = defaultdict(set) + for item in results: + properties = item["properties"] + for prop_key, values in properties.items(): + if not values: + continue + prop_value = str(values[0]) + orig_present_prop_value_to_propset[prop_value].add((prop_key, prop_value)) + present_prop_value_to_propset = { + k: frozenset(v) + for k, v in orig_present_prop_value_to_propset.items() + } + return present_prop_value_to_propset + + def get_past_props(self) -> dict[str, frozenset[tuple[str, str]]]: + orig_past_prop_value_to_propset = defaultdict(set) + for propset in self.prop_index.properties: + for _, prop_value in propset: + orig_past_prop_value_to_propset[prop_value].update(propset) + past_prop_value_to_propset = { + k: frozenset(v) + for k, v in orig_past_prop_value_to_propset.items() + } + return past_prop_value_to_propset + + def _update_vertex_index(self, context: dict[str, Any], all_pk_flag: bool) -> tuple[int, int]: + past_vids = self.vid_index.properties + # TODO: We should build vid vector index separately, especially when the vertices may be very large + present_vids = context["vertices"] # Warning: data truncated by fetch_graph_data.py + removed_vids = set(past_vids) - set(present_vids) + removed_num = self.vid_index.remove(removed_vids) + if removed_num: + self.vid_index.to_index_file(self.index_dir) + added_vids = list(set(present_vids) - set(past_vids)) + + if added_vids: + vids_to_process = self._extract_names(added_vids) if all_pk_flag else added_vids + added_embeddings = asyncio.run(self._get_embeddings_parallel(vids_to_process)) + log.info("Building vector index for %s vertices...", len(added_vids)) + self.vid_index.add(added_embeddings, added_vids) + self.vid_index.to_index_file(self.index_dir) + else: + log.debug("No update vertices to build vector index.") + return removed_num, len(added_vids) + + def _update_property_index(self, context: dict[str, Any]) -> tuple[int, int | str]: + removed_props_num = 0 + added_props_vector_num: int | str = 0 + + present_prop_value_to_propset = self.get_present_props(context) + # log.debug("present_prop_value_to_propset: %s", present_prop_value_to_propset) + past_prop_value_to_propset = self.get_past_props() + # log.debug("past_prop_value_to_propset: %s", past_prop_value_to_propset) + to_add, to_update, to_remove, to_update_remove = self.diff_property_sets( + present_prop_value_to_propset, + past_prop_value_to_propset + ) + log.debug("to_add: %s", to_add) + log.debug("to_update: %s", to_update) + log.debug("to_remove: %s", to_remove) + log.debug("to_update_remove: %s", to_update_remove) + log.info("Removing %s outdated property value", len(to_remove)) + removed_props_num = self.prop_index.remove(to_remove) + if removed_props_num: + self.prop_index.to_index_file(self.index_dir_prop) + all_to_add = to_add + to_update + add_propsets = [] + add_prop_values = [] + for prop_value, propset in all_to_add: + add_propsets.append(propset) + add_prop_values.append(prop_value) + if add_prop_values: + if len(add_prop_values) > 100000: + log.warning("The number of props > 100000, please select which properties to vectorize.") + # context.update({ + # "removed_props_num": removed_props_num, + # "added_props_vector_num": "0 (because of exceeding limit)" + # }) + return removed_props_num, "0 (because of exceeding limit)" + if to_update_remove: + update_remove_prop_values = [prop_set for _, prop_set in to_update_remove] + # removed_num variable was conflicting, renamed to inner_removed_num + inner_removed_num = self.prop_index.remove(update_remove_prop_values) + self.prop_index.to_index_file(self.index_dir_prop) + log.info("In to_update: Removed %s outdated property set", inner_removed_num) + added_props_embeddings = asyncio.run(self._get_embeddings_parallel(add_prop_values)) + self.prop_index.add(added_props_embeddings, add_propsets) + log.info("Added %s new or updated property embeddings", len(added_props_embeddings)) + self.prop_index.to_index_file(self.index_dir_prop) + added_props_vector_num = len(to_add) # As per original logic + else: + log.debug("No update props to build vector index.") + added_props_vector_num = 0 # no items added + + return removed_props_num, added_props_vector_num + + def run(self, context: dict[str, Any]) -> dict[str, Any]: + vertexlabels = self.sm.schema.getSchema()["vertexlabels"] + all_pk_flag = all(data.get('id_strategy') == 'PRIMARY_KEY' for data in vertexlabels) + + removed_vid_num, added_vid_num = self._update_vertex_index(context, all_pk_flag) + context.update({ + "removed_vid_vector_num": removed_vid_num, + "added_vid_vector_num": added_vid_num, + }) + + if context["index_labels"]: + removed_prop_num, added_prop_num = self._update_property_index(context) + context.update({ + "removed_props_num": removed_prop_num, + "added_props_vector_num": added_prop_num, + }) + # else: # This else block is not in the original code, so commenting out + # context.update({ + # "removed_props_num": 0, + # "added_props_vector_num": 0, + # }) + + + return context From 4aa1a4da1f8eee00ae063d4b28855656e9bb8643 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Thu, 29 May 2025 10:33:40 +0800 Subject: [PATCH 46/49] change daily limit --- hugegraph-llm/src/hugegraph_llm/api/vector_api.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py index 740d3834f..b92091b93 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py @@ -28,7 +28,7 @@ # pylint: disable=too-many-statements def vector_http_api(router: APIRouter, update_embedding_func): @router.post("/vector/embedding", status_code=status.HTTP_200_OK) - def update_embedding_api(daily_limit: int = 2): + def update_embedding_api(daily_limit: int = 50): """ Updates the vector embedding. This endpoint is rate-limited. By default, it allows 2 calls per day. (Note: Not Thread-Safe!) From 7b7c6d2fcd0ef64d3f8dbb09a9d2ffc17e07f314 Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Thu, 29 May 2025 16:33:55 +0800 Subject: [PATCH 47/49] create pyhugegraph client by token --- .../src/pyhugegraph/client.py | 25 ++++++++++++++++--- .../src/pyhugegraph/utils/huge_config.py | 5 ++-- .../src/pyhugegraph/utils/huge_requests.py | 13 ++++++++-- 3 files changed, 36 insertions(+), 7 deletions(-) diff --git a/hugegraph-python-client/src/pyhugegraph/client.py b/hugegraph-python-client/src/pyhugegraph/client.py index 3b0301321..1c10a8e55 100644 --- a/hugegraph-python-client/src/pyhugegraph/client.py +++ b/hugegraph-python-client/src/pyhugegraph/client.py @@ -29,6 +29,7 @@ from pyhugegraph.api.version import VersionManager from pyhugegraph.utils.huge_config import HGraphConfig from pyhugegraph.utils.huge_requests import HGraphSession +from pyhugegraph.utils.log import log T = TypeVar("T") @@ -50,12 +51,30 @@ def __init__( self, url: str, graph: str, - user: str, - pwd: str, + user: Optional[str] = None, + pwd: Optional[str] = None, + token: Optional[str] = None, graphspace: Optional[str] = None, timeout: Optional[tuple[float, float]] = None ): - self.cfg = HGraphConfig(url, user, pwd, graph, graphspace, timeout or (0.5, 15.0)) + if token is None and (user is None or pwd is None): + raise ValueError("Either a token or both username and password must be provided.") + + if token is not None and (user is not None or pwd is not None): + log.warning( + "Both token and username/password are provided. " + "Token will be used for authentication." + ) + + self.cfg = HGraphConfig( + url=url, + graph_name=graph, + token=token, + username=user, + password=pwd, + graphspace=graphspace, + timeout=timeout or (0.5, 15.0) + ) @manager_builder def schema(self) -> "SchemaManager": diff --git a/hugegraph-python-client/src/pyhugegraph/utils/huge_config.py b/hugegraph-python-client/src/pyhugegraph/utils/huge_config.py index 3f6d78b95..6e76dd25a 100644 --- a/hugegraph-python-client/src/pyhugegraph/utils/huge_config.py +++ b/hugegraph-python-client/src/pyhugegraph/utils/huge_config.py @@ -29,9 +29,10 @@ @dataclass class HGraphConfig: url: str - username: str - password: str graph_name: str + token: Optional[str] = None + username: Optional[str] = None + password: Optional[str] = None graphspace: Optional[str] = None timeout: tuple[float, float] = (0.5, 15.0) gs_supported: bool = field(default=False, init=False) diff --git a/hugegraph-python-client/src/pyhugegraph/utils/huge_requests.py b/hugegraph-python-client/src/pyhugegraph/utils/huge_requests.py index 4d99a0e45..4f6afa14b 100644 --- a/hugegraph-python-client/src/pyhugegraph/utils/huge_requests.py +++ b/hugegraph-python-client/src/pyhugegraph/utils/huge_requests.py @@ -50,6 +50,10 @@ def __init__( self._backoff_factor = backoff_factor self._status_forcelist = status_forcelist self._auth = (cfg.username, cfg.password) + if cfg.token: + self._token = cfg.token + else: + self._token = None self._headers = {"Content-Type": Constants.HEADER_CONTENT_TYPE} self._timeout = cfg.timeout self._session = session if session else requests.Session() @@ -140,10 +144,15 @@ def request( **kwargs: Any, ) -> dict: url = self.resolve(path) + request_headers = self._headers.copy() + auth = self._auth + if self._token: + request_headers['Authorization'] = f"Bearer {self._token}" + auth = None response: requests.Response = getattr(self._session, method.lower())( url, - auth=self._auth, - headers=self._headers, + auth=auth, + headers=request_headers, timeout=self._timeout, **kwargs, ) From 31bf9718561d09538e3e9c63cb0457c59f184b2b Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Thu, 29 May 2025 20:18:37 +0800 Subject: [PATCH 48/49] change param --- .../hugegraph_llm/api/models/rag_requests.py | 14 +++------ .../src/hugegraph_llm/api/rag_api.py | 5 +++- .../src/hugegraph_llm/api/vector_api.py | 30 +++++++++++++++++-- .../hugegraph_llm/config/hugegraph_config.py | 1 + .../src/hugegraph_llm/indices/graph_index.py | 3 +- .../hugegraph_op/commit_to_hugegraph.py | 1 + .../operators/hugegraph_op/graph_rag_query.py | 1 + .../operators/hugegraph_op/schema_manager.py | 1 + .../index_op/build_semantic_index.py | 1 + .../operators/index_op/semantic_id_query.py | 1 + .../hugegraph_llm/operators/index_op/test.py | 1 + .../hugegraph_llm/utils/hugegraph_utils.py | 1 + 12 files changed, 46 insertions(+), 14 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py index f06df12cd..850168a4d 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py +++ b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py @@ -26,9 +26,10 @@ class GraphConfigRequest(BaseModel): url: str = Query('127.0.0.1:8080', description="hugegraph client url.") name: str = Query('hugegraph', description="hugegraph client name.") - user: str = Query('', description="hugegraph client user.") - pwd: str = Query('', description="hugegraph client pwd.") + user: Optional[str] = Query('', description="hugegraph client user.") + pwd: Optional[str] = Query('', description="hugegraph client pwd.") gs: str = None + token: Optional[str] = Query('', description="hugegraph client token.") class RAGRequest(BaseModel): @@ -130,18 +131,11 @@ class GremlinGenerateRequest(BaseModel): 0, description="Number of Gremlin templates to use.(0 means no templates)" ) - graphspae: Optional[str] = Query( - huge_settings.graph_space, - description="graph space." - ) - schema_str: Optional[str] = Query( - huge_settings.graph_name, - description="graph name." - ) gremlin_prompt: Optional[str] = Query( prompt.gremlin_generate_prompt, description="Prompt for the Text2Gremlin query.", ) + client_config: Optional[GraphConfigRequest] = Query(None, description="hugegraph server config.") output_types: Optional[List[GremlinOutputType]] = Query( default=[GremlinOutputType.TEMPLATE_GREMLIN], description=""" diff --git a/hugegraph-llm/src/hugegraph_llm/api/rag_api.py b/hugegraph-llm/src/hugegraph_llm/api/rag_api.py index 49686c26e..09f5a9b6a 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/rag_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/rag_api.py @@ -85,6 +85,7 @@ def set_graph_config(req): huge_settings.graph_user = req.client_config.user huge_settings.graph_pwd = req.client_config.pwd huge_settings.graph_space = req.client_config.gs + huge_settings.graph_token = req.client_config.token @router.post("/rag/graph", status_code=status.HTTP_200_OK) def graph_rag_recall_api(req: GraphRAGRequest): @@ -184,6 +185,8 @@ def rerank_config_api(req: RerankerConfigRequest): @router.post("/text2gremlin", status_code=status.HTTP_200_OK) def text2gremlin_api(req: GremlinGenerateRequest): try: + set_graph_config(req) + output_types_str_list = None if req.output_types: output_types_str_list = [ot.value for ot in req.output_types] @@ -191,7 +194,7 @@ def text2gremlin_api(req: GremlinGenerateRequest): response_dict = gremlin_generate_selective_func( inp=req.query, example_num=req.example_num, - schema_input=req.schema_str, + schema_input=huge_settings.graph_name, gremlin_prompt_input=req.gremlin_prompt, requested_outputs=output_types_str_list, ) diff --git a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py index b92091b93..c5fd00354 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py @@ -17,10 +17,13 @@ from datetime import date +from typing import Optional -from fastapi import status, APIRouter, HTTPException +from fastapi import status, APIRouter, HTTPException, Body from hugegraph_llm.utils.log import log +from hugegraph_llm.api.models.rag_requests import GraphConfigRequest +from hugegraph_llm.config import huge_settings API_CALL_TRACKER = {} @@ -28,7 +31,10 @@ # pylint: disable=too-many-statements def vector_http_api(router: APIRouter, update_embedding_func): @router.post("/vector/embedding", status_code=status.HTTP_200_OK) - def update_embedding_api(daily_limit: int = 50): + def update_embedding_api( + daily_limit: int = 50, + graph_config: Optional[GraphConfigRequest] = Body(None) + ): """ Updates the vector embedding. This endpoint is rate-limited. By default, it allows 2 calls per day. (Note: Not Thread-Safe!) @@ -46,6 +52,26 @@ def update_embedding_api(daily_limit: int = 50): detail=f"API call limit of {daily_limit} per day exceeded. Please try again tomorrow." ) API_CALL_TRACKER[today] = call_count + 1 + if graph_config: + huge_settings.graph_url = graph_config.url + huge_settings.graph_name = graph_config.name + huge_settings.graph_user = graph_config.user + huge_settings.graph_pwd = graph_config.pwd + huge_settings.graph_space = graph_config.gs + huge_settings.graph_token = graph_config.token + + from pyhugegraph.client import PyHugeClient + client = PyHugeClient( + url=huge_settings.graph_url, + graph=huge_settings.graph_name, + user=huge_settings.graph_user, + pwd=huge_settings.graph_pwd, + token=huge_settings.graph_token, + graphspace=huge_settings.graph_space, + ) + schema = client.schema() + log.debug("..............%s", schema.getVertexLabels()) + result = update_embedding_func() result = {"detail": result} return result diff --git a/hugegraph-llm/src/hugegraph_llm/config/hugegraph_config.py b/hugegraph-llm/src/hugegraph_llm/config/hugegraph_config.py index e51008d96..3924ea502 100644 --- a/hugegraph-llm/src/hugegraph_llm/config/hugegraph_config.py +++ b/hugegraph-llm/src/hugegraph_llm/config/hugegraph_config.py @@ -27,6 +27,7 @@ class HugeGraphConfig(BaseConfig): graph_user: Optional[str] = "admin" graph_pwd: Optional[str] = "xxx" graph_space: Optional[str] = None + graph_token: Optional[str] = None # graph query config limit_property: Optional[str] = "False" diff --git a/hugegraph-llm/src/hugegraph_llm/indices/graph_index.py b/hugegraph-llm/src/hugegraph_llm/indices/graph_index.py index e78aa6d58..1b9affd17 100644 --- a/hugegraph-llm/src/hugegraph_llm/indices/graph_index.py +++ b/hugegraph-llm/src/hugegraph_llm/indices/graph_index.py @@ -29,10 +29,11 @@ def __init__( graph_name: Optional[str] = huge_settings.graph_name, graph_user: Optional[str] = huge_settings.graph_user, graph_pwd: Optional[str] = huge_settings.graph_pwd, + graph_token: Optional[str] = huge_settings.graph_token, graph_space: Optional[str] = huge_settings.graph_space, ): self.client = PyHugeClient(url=graph_url, graph=graph_name, user=graph_user, pwd=graph_pwd, - graphspace=graph_space) + token=huge_settings.graph_token, graphspace=graph_space) def clear_graph(self): self.client.gremlin().exec("g.V().drop()") diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/commit_to_hugegraph.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/commit_to_hugegraph.py index 5cc846d21..748f505a9 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/commit_to_hugegraph.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/commit_to_hugegraph.py @@ -32,6 +32,7 @@ def __init__(self): graph=huge_settings.graph_name, user=huge_settings.graph_user, pwd=huge_settings.graph_pwd, + token=huge_settings.graph_token, graphspace=huge_settings.graph_space, ) self.schema = self.client.schema() diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py index 7eef086ce..75bd54be0 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py @@ -92,6 +92,7 @@ def __init__( graph=huge_settings.graph_name, user=huge_settings.graph_user, pwd=huge_settings.graph_pwd, + token=huge_settings.graph_token, graphspace=huge_settings.graph_space, ) self._max_deep = max_deep diff --git a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/schema_manager.py b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/schema_manager.py index 2f50bb818..5cc89f38e 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/schema_manager.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/schema_manager.py @@ -28,6 +28,7 @@ def __init__(self, graph_name: str): graph=self.graph_name, user=huge_settings.graph_user, pwd=huge_settings.graph_pwd, + token=huge_settings.graph_token, graphspace=huge_settings.graph_space, ) self.schema = self.client.schema() diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py index 34795352b..778ad4883 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/build_semantic_index.py @@ -52,6 +52,7 @@ def __init__(self, embedding: BaseEmbedding): graph=huge_settings.graph_name, user=huge_settings.graph_user, pwd=huge_settings.graph_pwd, + token=huge_settings.graph_token, graphspace=huge_settings.graph_space, ) diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py index f1058794e..7102731cf 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py @@ -51,6 +51,7 @@ def __init__( graph=huge_settings.graph_name, user=huge_settings.graph_user, pwd=huge_settings.graph_pwd, + token=huge_settings.graph_token, graphspace=huge_settings.graph_space, ) self.schema = self._client.schema() diff --git a/hugegraph-llm/src/hugegraph_llm/operators/index_op/test.py b/hugegraph-llm/src/hugegraph_llm/operators/index_op/test.py index c74a58fd4..09cb250fd 100644 --- a/hugegraph-llm/src/hugegraph_llm/operators/index_op/test.py +++ b/hugegraph-llm/src/hugegraph_llm/operators/index_op/test.py @@ -52,6 +52,7 @@ def __init__(self, embedding: BaseEmbedding): graph=huge_settings.graph_name, user=huge_settings.graph_user, pwd=huge_settings.graph_pwd, + token=huge_settings.graph_token, graphspace=huge_settings.graph_space, ) diff --git a/hugegraph-llm/src/hugegraph_llm/utils/hugegraph_utils.py b/hugegraph-llm/src/hugegraph_llm/utils/hugegraph_utils.py index 1d02b45d3..ea39fc913 100644 --- a/hugegraph-llm/src/hugegraph_llm/utils/hugegraph_utils.py +++ b/hugegraph-llm/src/hugegraph_llm/utils/hugegraph_utils.py @@ -43,6 +43,7 @@ def get_hg_client(): graph=huge_settings.graph_name, user=huge_settings.graph_user, pwd=huge_settings.graph_pwd, + token=huge_settings.graph_token, graphspace=huge_settings.graph_space, ) From a0e460c50dfa9e6436a95bf77b856a27dca6994c Mon Sep 17 00:00:00 2001 From: jinsong04 Date: Fri, 30 May 2025 11:01:29 +0800 Subject: [PATCH 49/49] name -> graph --- .../src/hugegraph_llm/api/models/rag_requests.py | 2 +- hugegraph-llm/src/hugegraph_llm/api/rag_api.py | 4 ++-- hugegraph-llm/src/hugegraph_llm/api/vector_api.py | 14 +------------- 3 files changed, 4 insertions(+), 16 deletions(-) diff --git a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py index 850168a4d..bdf171f26 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py +++ b/hugegraph-llm/src/hugegraph_llm/api/models/rag_requests.py @@ -25,7 +25,7 @@ class GraphConfigRequest(BaseModel): url: str = Query('127.0.0.1:8080', description="hugegraph client url.") - name: str = Query('hugegraph', description="hugegraph client name.") + graph: str = Query('hugegraph', description="hugegraph client name.") user: Optional[str] = Query('', description="hugegraph client user.") pwd: Optional[str] = Query('', description="hugegraph client pwd.") gs: str = None diff --git a/hugegraph-llm/src/hugegraph_llm/api/rag_api.py b/hugegraph-llm/src/hugegraph_llm/api/rag_api.py index 09f5a9b6a..fdd06ebea 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/rag_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/rag_api.py @@ -81,7 +81,7 @@ def rag_answer_api(req: RAGRequest): def set_graph_config(req): if req.client_config: huge_settings.graph_url = req.client_config.url - huge_settings.graph_name = req.client_config.name + huge_settings.graph_name = req.client_config.graph huge_settings.graph_user = req.client_config.user huge_settings.graph_pwd = req.client_config.pwd huge_settings.graph_space = req.client_config.gs @@ -142,7 +142,7 @@ def graph_rag_recall_api(req: GraphRAGRequest): @router.post("/config/graph", status_code=status.HTTP_201_CREATED) def graph_config_api(req: GraphConfigRequest): # Accept status code - res = apply_graph_conf(req.url, req.name, req.user, req.pwd, req.gs, origin_call="http") + res = apply_graph_conf(req.url, req.graph, req.user, req.pwd, req.gs, origin_call="http") return generate_response(RAGResponse(status_code=res, message="Missing Value")) # TODO: restructure the implement of llm to three types, like "/config/chat_llm" diff --git a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py index c5fd00354..f7e438d8c 100644 --- a/hugegraph-llm/src/hugegraph_llm/api/vector_api.py +++ b/hugegraph-llm/src/hugegraph_llm/api/vector_api.py @@ -54,23 +54,11 @@ def update_embedding_api( API_CALL_TRACKER[today] = call_count + 1 if graph_config: huge_settings.graph_url = graph_config.url - huge_settings.graph_name = graph_config.name + huge_settings.graph_name = graph_config.graph huge_settings.graph_user = graph_config.user huge_settings.graph_pwd = graph_config.pwd huge_settings.graph_space = graph_config.gs huge_settings.graph_token = graph_config.token - - from pyhugegraph.client import PyHugeClient - client = PyHugeClient( - url=huge_settings.graph_url, - graph=huge_settings.graph_name, - user=huge_settings.graph_user, - pwd=huge_settings.graph_pwd, - token=huge_settings.graph_token, - graphspace=huge_settings.graph_space, - ) - schema = client.schema() - log.debug("..............%s", schema.getVertexLabels()) result = update_embedding_func() result = {"detail": result}