diff --git a/.github/workflows/_lint.yml b/.github/workflows/_lint.yml index 28c10c4..58d76ba 100644 --- a/.github/workflows/_lint.yml +++ b/.github/workflows/_lint.yml @@ -48,11 +48,6 @@ jobs: run: | poetry check - - name: Check lock file - shell: bash - working-directory: ${{ inputs.working-directory }} - run: | - poetry lock --check - name: Install dependencies # Also installs dev/lint/test/typing dependencies, to ensure we have diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml index a71a643..082fd22 100644 --- a/.github/workflows/_release.yml +++ b/.github/workflows/_release.yml @@ -90,7 +90,7 @@ jobs: runs-on: ubuntu-latest services: elasticsearch: - image: elasticsearch:8.13.0 + image: elasticsearch:8.16.0 env: discovery.type: single-node xpack.license.self_generated.type: trial diff --git a/libs/elasticsearch/.gitignore b/libs/elasticsearch/.gitignore index bee8a64..7ee7f5b 100644 --- a/libs/elasticsearch/.gitignore +++ b/libs/elasticsearch/.gitignore @@ -1 +1,2 @@ __pycache__ +poetry.lock diff --git a/libs/elasticsearch/langchain_elasticsearch/__init__.py b/libs/elasticsearch/langchain_elasticsearch/__init__.py index 45cfe70..d4c2656 100644 --- a/libs/elasticsearch/langchain_elasticsearch/__init__.py +++ b/libs/elasticsearch/langchain_elasticsearch/__init__.py @@ -12,6 +12,7 @@ SparseVectorStrategy, ) +from langchain_elasticsearch._utilities import DistanceStrategy from langchain_elasticsearch.cache import ( AsyncElasticsearchCache, AsyncElasticsearchEmbeddingsCache, @@ -62,6 +63,7 @@ "DenseVectorScriptScoreStrategy", "DenseVectorStrategy", "DistanceMetric", + "DistanceStrategy", "RetrievalStrategy", "SparseVectorStrategy", # deprecated retrieval strategies diff --git a/libs/elasticsearch/langchain_elasticsearch/_async/vectorstores.py b/libs/elasticsearch/langchain_elasticsearch/_async/vectorstores.py index 0da4acf..ab4269a 100644 --- a/libs/elasticsearch/langchain_elasticsearch/_async/vectorstores.py +++ b/libs/elasticsearch/langchain_elasticsearch/_async/vectorstores.py @@ -283,7 +283,7 @@ class AsyncElasticsearchStore(VectorStore): from langchain_elasticsearch.vectorstores import ElasticsearchStore from langchain_openai import OpenAIEmbeddings - from langchain_community.vectorstores.utils import DistanceStrategy + from langchain_elasticsearch import DistanceStrategy store = ElasticsearchStore( "langchain-demo", diff --git a/libs/elasticsearch/langchain_elasticsearch/_sync/vectorstores.py b/libs/elasticsearch/langchain_elasticsearch/_sync/vectorstores.py index 5ff8277..65a60b4 100644 --- a/libs/elasticsearch/langchain_elasticsearch/_sync/vectorstores.py +++ b/libs/elasticsearch/langchain_elasticsearch/_sync/vectorstores.py @@ -283,7 +283,7 @@ class ElasticsearchStore(VectorStore): from langchain_elasticsearch.vectorstores import ElasticsearchStore from langchain_openai import OpenAIEmbeddings - from langchain_community.vectorstores.utils import DistanceStrategy + from langchain_elasticsearch import DistanceStrategy store = ElasticsearchStore( "langchain-demo", diff --git a/libs/elasticsearch/poetry.lock b/libs/elasticsearch/poetry.lock deleted file mode 100644 index 26d863d..0000000 --- a/libs/elasticsearch/poetry.lock +++ /dev/null @@ -1,2279 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. - 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return {"es_url": url} + + result = {"es_url": url} + if api_key: + result["es_api_key"] = api_key + return result class AsyncRequestSavingTransport(AsyncTransport): @@ -46,7 +50,12 @@ def create_es_client( **es_kwargs, ) - return AsyncElasticsearch(hosts=[es_params["es_url"]], **es_kwargs) + client_kwargs: Dict[str, Any] = {"hosts": [es_params["es_url"]]} + if "es_api_key" in es_params: + client_kwargs["api_key"] = es_params["es_api_key"] + client_kwargs.update(es_kwargs) + + return AsyncElasticsearch(**client_kwargs) def requests_saving_es_client() -> AsyncElasticsearch: diff --git a/libs/elasticsearch/tests/integration_tests/_async/test_embeddings.py b/libs/elasticsearch/tests/integration_tests/_async/test_embeddings.py index 799ff00..2108a78 100644 --- a/libs/elasticsearch/tests/integration_tests/_async/test_embeddings.py +++ b/libs/elasticsearch/tests/integration_tests/_async/test_embeddings.py @@ -3,11 +3,10 @@ import os import pytest -from elasticsearch import AsyncElasticsearch from langchain_elasticsearch.embeddings import AsyncElasticsearchEmbeddings -from ._test_utilities import model_is_deployed +from ._test_utilities import create_es_client, model_is_deployed # deployed with # https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-text-emb-vector-search-example.html @@ -20,7 +19,7 @@ @pytest.mark.asyncio async def test_elasticsearch_embedding_documents() -> None: """Test Elasticsearch embedding documents.""" - client = AsyncElasticsearch(hosts=[ES_URL]) + client = create_es_client() if not (await model_is_deployed(client, MODEL_ID)): await client.close() pytest.skip( @@ -40,7 +39,7 @@ async def test_elasticsearch_embedding_documents() -> None: @pytest.mark.asyncio async def test_elasticsearch_embedding_query() -> None: """Test Elasticsearch embedding query.""" - client = AsyncElasticsearch(hosts=[ES_URL]) + client = create_es_client() if not (await model_is_deployed(client, MODEL_ID)): await client.close() pytest.skip( diff --git a/libs/elasticsearch/tests/integration_tests/_async/test_retrievers.py b/libs/elasticsearch/tests/integration_tests/_async/test_retrievers.py index bd88e24..545e4ba 100644 --- a/libs/elasticsearch/tests/integration_tests/_async/test_retrievers.py +++ b/libs/elasticsearch/tests/integration_tests/_async/test_retrievers.py @@ -1,6 +1,5 @@ """Test ElasticsearchRetriever functionality.""" -import os import re import uuid from typing import Any, Dict @@ -11,7 +10,7 @@ from langchain_elasticsearch.retrievers import AsyncElasticsearchRetriever -from ._test_utilities import requests_saving_es_client +from ._test_utilities import read_env, requests_saving_es_client """ cd tests/integration_tests @@ -88,13 +87,15 @@ async def test_init_url(self, index_name: str) -> None: def body_func(query: str) -> Dict: return {"query": {"match": {text_field: {"query": query}}}} - es_url = os.environ.get("ES_URL", "http://localhost:9200") - cloud_id = os.environ.get("ES_CLOUD_ID") - api_key = os.environ.get("ES_API_KEY") - - config = ( - {"cloud_id": cloud_id, "api_key": api_key} if cloud_id else {"url": es_url} - ) + env_config = read_env() + # Map test utility format to retriever format + config = {} + if "es_url" in env_config: + config["url"] = env_config["es_url"] + if "es_api_key" in env_config: + config["api_key"] = env_config["es_api_key"] + if "es_cloud_id" in env_config: + config["cloud_id"] = env_config["es_cloud_id"] retriever = AsyncElasticsearchRetriever.from_es_params( index_name=index_name, diff --git a/libs/elasticsearch/tests/integration_tests/_async/test_vectorstores.py b/libs/elasticsearch/tests/integration_tests/_async/test_vectorstores.py index 33f3a1b..5a3b025 100644 --- a/libs/elasticsearch/tests/integration_tests/_async/test_vectorstores.py +++ b/libs/elasticsearch/tests/integration_tests/_async/test_vectorstores.py @@ -594,37 +594,50 @@ def assert_query( query_body: Dict[str, Any], query: Optional[str] ) -> Dict[str, Any]: assert query_body == { - "knn": { - "field": "vector", - "filter": [], - "k": 1, - "num_candidates": 50, - "query_vector": [ - 0.06, - 0.07, - 0.01, - 0.08, - 0.03, - 0.07, - 0.09, - 0.03, - 0.09, - 0.09, - 0.04, - 0.03, - 0.08, - 0.07, - 0.06, - 0.08, - ], - }, - "query": { - "bool": { - "filter": [], - "must": [{"match": {"text": {"query": "foo"}}}], + "retriever": { + "rrf": { + "retrievers": [ + { + "standard": { + "query": { + "bool": { + "filter": [], + "must": [ + {"match": {"text": {"query": "foo"}}} + ], + } + } + } + }, + { + "knn": { + "field": "vector", + "filter": [], + "k": 1, + "num_candidates": 50, + "query_vector": [ + 0.06, + 0.07, + 0.01, + 0.08, + 0.03, + 0.07, + 0.09, + 0.03, + 0.09, + 0.09, + 0.04, + 0.03, + 0.08, + 0.07, + 0.06, + 0.08, + ], + } + }, + ] } - }, - "rank": {"rrf": {}}, + } } return query_body @@ -703,43 +716,100 @@ def assert_query( query: Optional[str], rrf: Optional[Union[dict, bool]] = True, ) -> dict: - cmp_query_body = { - "knn": { - "field": "vector", - "filter": [], - "k": 3, - "num_candidates": 50, - "query_vector": [ - 0.06, - 0.07, - 0.01, - 0.08, - 0.03, - 0.07, - 0.09, - 0.03, - 0.09, - 0.09, - 0.04, - 0.03, - 0.08, - 0.07, - 0.06, - 0.08, - ], - }, - "query": { - "bool": { + if rrf is False: + # When rrf=False, uses old format + cmp_query_body = { + "knn": { + "field": "vector", "filter": [], - "must": [{"match": {"text": {"query": "foo"}}}], + "k": 3, + "num_candidates": 50, + "query_vector": [ + 0.06, + 0.07, + 0.01, + 0.08, + 0.03, + 0.07, + 0.09, + 0.03, + 0.09, + 0.09, + 0.04, + 0.03, + 0.08, + 0.07, + 0.06, + 0.08, + ], + }, + "query": { + "bool": { + "filter": [], + "must": [{"match": {"text": {"query": "foo"}}}], + } + }, + } + else: + # When rrf=True or rrf=dict, uses new retriever format + rrf_config = {} + if isinstance(rrf, dict): + rrf_config = rrf + + cmp_query_body = { + "retriever": { + "rrf": { + # Dictionary unpacking: spreads rrf_config into dict + # If rrf=True: rrf_config={} adds nothing + # If rrf=dict: rrf_config adds custom RRF parameters + **rrf_config, + "retrievers": [ + { + "standard": { + "query": { + "bool": { + "filter": [], + "must": [ + { + "match": { + "text": {"query": "foo"} + } + } + ], + } + } + } + }, + { + "knn": { + "field": "vector", + "filter": [], + "k": 3, + "num_candidates": 50, + "query_vector": [ + 0.06, + 0.07, + 0.01, + 0.08, + 0.03, + 0.07, + 0.09, + 0.03, + 0.09, + 0.09, + 0.04, + 0.03, + 0.08, + 0.07, + 0.06, + 0.08, + ], + } + }, + ], + } } - }, - } - - if isinstance(rrf, dict): - cmp_query_body["rank"] = {"rrf": rrf} - elif isinstance(rrf, bool) and rrf is True: - cmp_query_body["rank"] = {"rrf": {}} + } assert query_body == cmp_query_body diff --git a/libs/elasticsearch/tests/integration_tests/_sync/_test_utilities.py b/libs/elasticsearch/tests/integration_tests/_sync/_test_utilities.py index 732d20b..bce80e5 100644 --- a/libs/elasticsearch/tests/integration_tests/_sync/_test_utilities.py +++ b/libs/elasticsearch/tests/integration_tests/_sync/_test_utilities.py @@ -17,7 +17,11 @@ def read_env() -> Dict: if cloud_id: return {"es_cloud_id": cloud_id, "es_api_key": api_key} - return {"es_url": url} + + result = {"es_url": url} + if api_key: + result["es_api_key"] = api_key + return result class RequestSavingTransport(Transport): @@ -46,7 +50,12 @@ def create_es_client( **es_kwargs, ) - return Elasticsearch(hosts=[es_params["es_url"]], **es_kwargs) + client_kwargs: Dict[str, Any] = {"hosts": [es_params["es_url"]]} + if "es_api_key" in es_params: + client_kwargs["api_key"] = es_params["es_api_key"] + client_kwargs.update(es_kwargs) + + return Elasticsearch(**client_kwargs) def requests_saving_es_client() -> Elasticsearch: diff --git a/libs/elasticsearch/tests/integration_tests/_sync/test_embeddings.py b/libs/elasticsearch/tests/integration_tests/_sync/test_embeddings.py index 7420f8c..3ecc007 100644 --- a/libs/elasticsearch/tests/integration_tests/_sync/test_embeddings.py +++ b/libs/elasticsearch/tests/integration_tests/_sync/test_embeddings.py @@ -3,11 +3,10 @@ import os import pytest -from elasticsearch import Elasticsearch from langchain_elasticsearch.embeddings import ElasticsearchEmbeddings -from ._test_utilities import model_is_deployed +from ._test_utilities import create_es_client, model_is_deployed # deployed with # https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-text-emb-vector-search-example.html @@ -20,7 +19,7 @@ @pytest.mark.sync def test_elasticsearch_embedding_documents() -> None: """Test Elasticsearch embedding documents.""" - client = Elasticsearch(hosts=[ES_URL]) + client = create_es_client() if not (model_is_deployed(client, MODEL_ID)): client.close() pytest.skip( @@ -40,7 +39,7 @@ def test_elasticsearch_embedding_documents() -> None: @pytest.mark.sync def test_elasticsearch_embedding_query() -> None: """Test Elasticsearch embedding query.""" - client = Elasticsearch(hosts=[ES_URL]) + client = create_es_client() if not (model_is_deployed(client, MODEL_ID)): client.close() pytest.skip( diff --git a/libs/elasticsearch/tests/integration_tests/_sync/test_retrievers.py b/libs/elasticsearch/tests/integration_tests/_sync/test_retrievers.py index 24c968c..eda486f 100644 --- a/libs/elasticsearch/tests/integration_tests/_sync/test_retrievers.py +++ b/libs/elasticsearch/tests/integration_tests/_sync/test_retrievers.py @@ -1,6 +1,5 @@ """Test ElasticsearchRetriever functionality.""" -import os import re import uuid from typing import Any, Dict @@ -11,7 +10,7 @@ from langchain_elasticsearch.retrievers import ElasticsearchRetriever -from ._test_utilities import requests_saving_es_client +from ._test_utilities import read_env, requests_saving_es_client """ cd tests/integration_tests @@ -84,13 +83,15 @@ def test_init_url(self, index_name: str) -> None: def body_func(query: str) -> Dict: return {"query": {"match": {text_field: {"query": query}}}} - es_url = os.environ.get("ES_URL", "http://localhost:9200") - cloud_id = os.environ.get("ES_CLOUD_ID") - api_key = os.environ.get("ES_API_KEY") - - config = ( - {"cloud_id": cloud_id, "api_key": api_key} if cloud_id else {"url": es_url} - ) + env_config = read_env() + # Map test utility format to retriever format + config = {} + if "es_url" in env_config: + config["url"] = env_config["es_url"] + if "es_api_key" in env_config: + config["api_key"] = env_config["es_api_key"] + if "es_cloud_id" in env_config: + config["cloud_id"] = env_config["es_cloud_id"] retriever = ElasticsearchRetriever.from_es_params( index_name=index_name, diff --git a/libs/elasticsearch/tests/integration_tests/_sync/test_vectorstores.py b/libs/elasticsearch/tests/integration_tests/_sync/test_vectorstores.py index e108518..76b989a 100644 --- a/libs/elasticsearch/tests/integration_tests/_sync/test_vectorstores.py +++ b/libs/elasticsearch/tests/integration_tests/_sync/test_vectorstores.py @@ -580,37 +580,50 @@ def assert_query( query_body: Dict[str, Any], query: Optional[str] ) -> Dict[str, Any]: assert query_body == { - "knn": { - "field": "vector", - "filter": [], - "k": 1, - "num_candidates": 50, - "query_vector": [ - 0.06, - 0.07, - 0.01, - 0.08, - 0.03, - 0.07, - 0.09, - 0.03, - 0.09, - 0.09, - 0.04, - 0.03, - 0.08, - 0.07, - 0.06, - 0.08, - ], - }, - "query": { - "bool": { - "filter": [], - "must": [{"match": {"text": {"query": "foo"}}}], + "retriever": { + "rrf": { + "retrievers": [ + { + "standard": { + "query": { + "bool": { + "filter": [], + "must": [ + {"match": {"text": {"query": "foo"}}} + ], + } + } + } + }, + { + "knn": { + "field": "vector", + "filter": [], + "k": 1, + "num_candidates": 50, + "query_vector": [ + 0.06, + 0.07, + 0.01, + 0.08, + 0.03, + 0.07, + 0.09, + 0.03, + 0.09, + 0.09, + 0.04, + 0.03, + 0.08, + 0.07, + 0.06, + 0.08, + ], + } + }, + ] } - }, - "rank": {"rrf": {}}, + } } return query_body @@ -687,43 +700,100 @@ def assert_query( query: Optional[str], rrf: Optional[Union[dict, bool]] = True, ) -> dict: - cmp_query_body = { - "knn": { - "field": "vector", - "filter": [], - "k": 3, - "num_candidates": 50, - "query_vector": [ - 0.06, - 0.07, - 0.01, - 0.08, - 0.03, - 0.07, - 0.09, - 0.03, - 0.09, - 0.09, - 0.04, - 0.03, - 0.08, - 0.07, - 0.06, - 0.08, - ], - }, - "query": { - "bool": { + if rrf is False: + # When rrf=False, uses old format + cmp_query_body = { + "knn": { + "field": "vector", "filter": [], - "must": [{"match": {"text": {"query": "foo"}}}], + "k": 3, + "num_candidates": 50, + "query_vector": [ + 0.06, + 0.07, + 0.01, + 0.08, + 0.03, + 0.07, + 0.09, + 0.03, + 0.09, + 0.09, + 0.04, + 0.03, + 0.08, + 0.07, + 0.06, + 0.08, + ], + }, + "query": { + "bool": { + "filter": [], + "must": [{"match": {"text": {"query": "foo"}}}], + } + }, + } + else: + # When rrf=True or rrf=dict, uses new retriever format + rrf_config = {} + if isinstance(rrf, dict): + rrf_config = rrf + + cmp_query_body = { + "retriever": { + "rrf": { + # Dictionary unpacking: spreads rrf_config into dict + # If rrf=True: rrf_config={} adds nothing + # If rrf=dict: rrf_config adds custom RRF parameters + **rrf_config, + "retrievers": [ + { + "standard": { + "query": { + "bool": { + "filter": [], + "must": [ + { + "match": { + "text": {"query": "foo"} + } + } + ], + } + } + } + }, + { + "knn": { + "field": "vector", + "filter": [], + "k": 3, + "num_candidates": 50, + "query_vector": [ + 0.06, + 0.07, + 0.01, + 0.08, + 0.03, + 0.07, + 0.09, + 0.03, + 0.09, + 0.09, + 0.04, + 0.03, + 0.08, + 0.07, + 0.06, + 0.08, + ], + } + }, + ], + } } - }, - } - - if isinstance(rrf, dict): - cmp_query_body["rank"] = {"rrf": rrf} - elif isinstance(rrf, bool) and rrf is True: - cmp_query_body["rank"] = {"rrf": {}} + } assert query_body == cmp_query_body diff --git a/libs/elasticsearch/tests/unit_tests/test_imports.py b/libs/elasticsearch/tests/unit_tests/test_imports.py index 28c6296..7051d11 100644 --- a/libs/elasticsearch/tests/unit_tests/test_imports.py +++ b/libs/elasticsearch/tests/unit_tests/test_imports.py @@ -19,6 +19,7 @@ "DenseVectorScriptScoreStrategy", "DenseVectorStrategy", "DistanceMetric", + "DistanceStrategy", "RetrievalStrategy", "SparseVectorStrategy", "AsyncBM25Strategy",