diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index de76bb56b..6486062d6 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -16,16 +16,10 @@ jobs: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - - uses: actions/setup-python@v5 - with: - python-version: '3.10' - uses: actions/setup-java@v4 with: distribution: 'zulu' java-version: '17' - - name: Upgrade pip - run: | - python3 -m pip install --upgrade pip - name: Update apt-get run: | sudo apt-get update @@ -38,24 +32,30 @@ jobs: - name: Install tesseract run: | sudo apt-get install tesseract-ocr + - name: Install uv + uses: astral-sh/setup-uv@v5 + - name: Install Python 3.10 + run: uv python install 3.10 + - name: Install Venv + run: uv venv - name: Install AutoRAG run: | - pip install -e './autorag[ko,dev,parse,ja]' + uv pip install -e './autorag[all]' - name: Install dependencies run: | - pip install -r tests/requirements.txt + uv pip install -r tests/requirements.txt - name: Upgrade pyOpenSSL run: | - pip install --upgrade pyOpenSSL + uv pip install --upgrade pyOpenSSL - name: Install NLTK and download model run: | - pip install nltk - python3 -c "import nltk; nltk.download('punkt_tab')" - python3 -c "import nltk; nltk.download('averaged_perceptron_tagger_eng')" + uv pip install nltk + uv run python -c "import nltk; nltk.download('punkt_tab')" + uv run python -c "import nltk; nltk.download('averaged_perceptron_tagger_eng')" - name: delete tests package - run: python3 tests/delete_tests.py + run: uv run python tests/delete_tests.py - name: Run AutoRAG tests env: PYTHONPATH: ${PYTHONPATH}:./autorag run: | - python3 -m pytest -o log_cli=true --log-cli-level=INFO -n auto tests/autorag + uv run python -m pytest -o log_cli=true --log-cli-level=INFO -n auto tests/autorag diff --git a/autorag/autorag/data/__init__.py b/autorag/autorag/data/__init__.py index 88709968e..65d49a9ff 100644 --- a/autorag/autorag/data/__init__.py +++ b/autorag/autorag/data/__init__.py @@ -16,7 +16,7 @@ DirectoryLoader, ) from langchain_unstructured import UnstructuredLoader -from langchain_upstage import UpstageDocumentParseLoader +from langchain_upstage import UpstageLayoutAnalysisLoader from llama_index.core.node_parser import ( TokenTextSplitter, @@ -59,7 +59,7 @@ # 6. All files "directory": DirectoryLoader, "unstructured": UnstructuredLoader, - "upstagedocumentparse": UpstageDocumentParseLoader, + "upstagedocumentparse": UpstageLayoutAnalysisLoader, } chunk_modules = { diff --git a/autorag/autorag/data/qa/query/prompt.py b/autorag/autorag/data/qa/query/prompt.py index 51dafaf01..bcdeaf64e 100644 --- a/autorag/autorag/data/qa/query/prompt.py +++ b/autorag/autorag/data/qa/query/prompt.py @@ -179,7 +179,7 @@ role=MessageRole.USER, content="""Document 1: ヌエヴォ·ラレド自治体はメキシコのタマウリパス州にあります。 シウダー・デポルティーバ（スポーツ・シティ）は、 -メキシコのヌエボ・ラレドにある複合スポーツ施設です。 +メキシコのヌエボ・ラレドにある複合スポーツ施設です。""", ), ChatMessage( role=MessageRole.ASSISTANT, diff --git a/autorag/autorag/vectordb/chroma.py b/autorag/autorag/vectordb/chroma.py index 0d9f52366..6d3d4d141 100644 --- a/autorag/autorag/vectordb/chroma.py +++ b/autorag/autorag/vectordb/chroma.py @@ -9,7 +9,7 @@ AsyncHttpClient, ) from chromadb.api.models.AsyncCollection import AsyncCollection -from chromadb.api.types import IncludeEnum, QueryResult +from chromadb.api.types import QueryResult from autorag.utils.util import apply_recursive from autorag.vectordb.base import BaseVectorStore @@ -74,11 +74,9 @@ async def add(self, ids: List[str], texts: List[str]): async def fetch(self, ids: List[str]) -> List[List[float]]: if isinstance(self.collection, AsyncCollection): - fetch_result = await self.collection.get( - ids, include=[IncludeEnum.embeddings] - ) + fetch_result = await self.collection.get(ids, include=["embeddings"]) else: - fetch_result = self.collection.get(ids, include=[IncludeEnum.embeddings]) + fetch_result = self.collection.get(ids, include=["embeddings"]) fetch_embeddings = fetch_result["embeddings"] return fetch_embeddings diff --git a/autorag/pyproject.toml b/autorag/pyproject.toml index 44d99890d..d47a30794 100644 --- a/autorag/pyproject.toml +++ b/autorag/pyproject.toml @@ -24,7 +24,73 @@ classifiers = [ "Topic :: Software Development :: Libraries :: Python Modules", ] urls = { Homepage = "https://github.com/Marker-Inc-Korea/AutoRAG" } -dynamic = ["version", "dependencies"] +dynamic = ["version"] +dependencies = [ + "pydantic<2.10.0", # incompatible with llama index + "numpy<2.0.0", # temporal not using numpy 2.0.0 + "pandas>=2.1.0", + "tqdm", + "tiktoken>=0.7.0", # for counting token + "openai>=1.0.0", + "rank_bm25", # for bm25 retrieval + "pyyaml", # for yaml file + "pyarrow", # for pandas with parquet + "fastparquet", # for pandas with parquet + "sacrebleu", # for bleu score + "evaluate", # for meteor and other scores + "rouge_score", # for rouge score + "rich", # for pretty logging + "click", # for cli + "cohere>=5.8.0", # for cohere services + "tokenlog>=0.0.2", # for token logging + "aiohttp", # for async http requests + "voyageai", # for voyageai reranker + "mixedbread-ai", # for mixedbread-ai reranker + "llama-index-llms-bedrock", + "scikit-learn", + "emoji", + + # Vector DB + "pymilvus>=2.3.0", # for using milvus vectordb + "chromadb>=1.0.0", # for chroma vectordb + "weaviate-client", # for weaviate vectordb + "pinecone[grpc]", # for pinecone vectordb + "couchbase", # for couchbase vectordb + "qdrant-client", # for qdrant vectordb + + # API server + "quart", + "pyngrok", + + # LlamaIndex + "llama-index", + "llama-index-core", + "llama-index-readers-file", + "llama-index-embeddings-openai", + "llama-index-embeddings-ollama", + "llama-index-embeddings-openai-like", + "llama-index-llms-openai", + "llama-index-llms-openai-like", + "llama-index-retrievers-bm25", + + # WebUI + "streamlit", + "gradio", + + # Langchain + "langchain-core", + "langchain-unstructured", + "langchain-upstage", + "langchain-community", + + # autorag dashboard + "panel", + "seaborn", + "ipykernel", + "ipywidgets", + "ipywidgets_bokeh", +] + [tool.poetry] name = "AutoRAG" @@ -34,7 +100,6 @@ authors = ["Marker-Inc "] [tool.setuptools.dynamic] version = { file = ["autorag/VERSION"] } -dependencies = { file = ["requirements.txt"] } [tool.setuptools] include-package-data = true diff --git a/autorag/requirements.txt b/autorag/requirements.txt deleted file mode 100644 index a0f08f6e9..000000000 --- a/autorag/requirements.txt +++ /dev/null @@ -1,65 +0,0 @@ -pydantic<2.10.0 # incompatible with llama index -numpy<2.0.0 # temporal not using numpy 2.0.0 -pandas>=2.1.0 -tqdm -tiktoken>=0.7.0 # for counting token -openai>=1.0.0 -rank_bm25 # for bm25 retrieval -pyyaml # for yaml file -pyarrow # for pandas with parquet -fastparquet # for pandas with parquet -sacrebleu # for bleu score -evaluate # for meteor and other scores -rouge_score # for rouge score -rich # for pretty logging -click # for cli -cohere>=5.8.0 # for cohere services -tokenlog>=0.0.2 # for token logging -aiohttp # for async http requests -voyageai # for voyageai reranker -mixedbread-ai # for mixedbread-ai reranker -llama-index-llms-bedrock -scikit-learn -emoji - -### Vector DB ### -pymilvus>=2.3.0 # for using milvus vectordb -chromadb>=0.5.0 # for chroma vectordb -weaviate-client # for weaviate vectordb -pinecone[grpc] # for pinecone vectordb -couchbase # for couchbase vectordb -qdrant-client # for qdrant vectordb - -### API server ### -quart -pyngrok -### LlamaIndex ### -llama-index>=0.11.0 -llama-index-core>=0.11.0 -# readers -llama-index-readers-file -# Embeddings -llama-index-embeddings-openai -llama-index-embeddings-ollama -# LLMs -llama-index-llms-openai>=0.2.7 -llama-index-llms-openai-like -# Retriever -llama-index-retrievers-bm25 - -# WebUI -streamlit -gradio - -### Langchain ### -langchain-core>=0.3.0 -langchain-unstructured>=0.1.5 -langchain-upstage -langchain-community>=0.3.0 - -# autorag dashboard -panel -seaborn -ipykernel -ipywidgets -ipywidgets_bokeh diff --git a/autorag/uv.lock b/autorag/uv.lock new file mode 100644 index 000000000..e80cd74ad --- /dev/null +++ b/autorag/uv.lock @@ -0,0 +1,8402 @@ +version = 1 +revision = 1 +requires-python = ">=3.10" +resolution-markers = [ + "python_full_version >= '4.0' and sys_platform == 'darwin'", + "python_full_version 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