diff --git a/CHANGELOG.md b/CHANGELOG.md index 88ee296d5..83470d0f8 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,8 +5,19 @@ ### Added - Added optional schema enforcement as a validation layer after entity and relation extraction. +- Introduced a linear hybrid search ranker for HybridRetriever and HybridCypherRetriever, allowing customizable ranking with an `alpha` parameter. - Introduced SearchQueryParseError for handling invalid Lucene query strings in HybridRetriever and HybridCypherRetriever. +### Fixed + +- Fixed config loading after module reload (usage in jupyter notebooks) + +### Changed + +- Qdrant retriever now fallbacks on the point ID if the `external_id_property` is not found in the payload. +- Updated a few dependencies, mainly `pypdf`, `anthropic` and `cohere`. + + ## 1.5.0 ### Added @@ -18,7 +29,7 @@ - Introduced Neo4jMessageHistory and InMemoryMessageHistory classes for managing LLM message histories. - Added examples and documentation for using message history with Neo4j and in-memory storage. - Updated LLM and GraphRAG classes to support new message history classes. -- Introduced a linear hybrid search ranker for HybridRetriever and HybridCypherRetriever, allowing customizable ranking with an `alpha` parameter. + ### Changed - Refactored index-related functions for improved compatibility and functionality. @@ -311,4 +322,3 @@ - Updated documentation to include new custom exceptions. - Improved the use of Pydantic for input data validation for retriever objects. -- Fixed config loading after module reload (usage in jupyter notebooks) diff --git a/poetry.lock b/poetry.lock index b088a8901..9f3b1f7a3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,103 +1,104 @@ -# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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No external dependencies." optional = true python-versions = "*" -groups = ["main"] -markers = "extra == \"experimental\"" files = [ {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"}, {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"}, @@ -1063,8 +999,6 @@ version = "1.5.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"experimental\"" 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"}, @@ -1166,7 +1100,6 @@ version = "2024.12.0" description = "File-system specification" 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{version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""}, + {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""}, ] -protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0" -requests = ">=2.18.0,<3.0.0.dev0" +protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0" +requests = ">=2.18.0,<3.0.0" [package.extras] async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"] -grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0) ; python_version >= \"3.11\""] +grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"] grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"] grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"] @@ -1243,8 +1174,6 @@ version = "2.38.0" description = "Google Authentication Library" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"google\"" files = [ {file = "google_auth-2.38.0-py2.py3-none-any.whl", hash = "sha256:e7dae6694313f434a2727bf2906f27ad259bae090d7aa896590d86feec3d9d4a"}, {file = "google_auth-2.38.0.tar.gz", hash = "sha256:8285113607d3b80a3f1543b75962447ba8a09fe85783432a784fdeef6ac094c4"}, @@ -1265,15 +1194,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"] [[package]] name = "google-cloud-aiplatform" -version = "1.79.0" +version = "1.83.0" description = "Vertex AI API client library" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"google\"" files = [ - {file = "google_cloud_aiplatform-1.79.0-py2.py3-none-any.whl", hash = "sha256:e52d518c386ce2b4ce57f1b73b46c57531d9a6ccd70c21a37b349f428bfc1c3f"}, - {file = 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version = "4.12.2" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" -groups = ["main", "dev"] 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"}, @@ -5787,8 +5415,6 @@ version = "0.9.0" description = "Runtime inspection utilities for typing module." optional = true python-versions = "*" -groups = ["main"] -markers = "extra == \"mistralai\" or extra == \"experimental\"" files = [ {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"}, {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"}, @@ -5798,14 +5424,26 @@ files = [ mypy-extensions = ">=0.3.0" typing-extensions = ">=3.7.4" +[[package]] +name = "typing-inspection" +version = "0.4.0" +description = "Runtime typing introspection tools" +optional = false +python-versions = ">=3.9" +files = [ + {file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"}, + {file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"}, +] + +[package.dependencies] +typing-extensions = ">=4.12.0" + [[package]] name = "tzdata" version = "2025.1" description = "Provider of IANA time zone data" optional = true python-versions = ">=2" -groups = ["main"] -markers = "extra == \"experimental\"" files = [ {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"}, {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"}, @@ -5817,15 +5455,14 @@ version = "1.26.20" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" -groups = ["main", "dev"] files = [ {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"}, {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"}, ] [package.extras] -brotli = ["brotli (==1.0.9) ; os_name != \"nt\" and python_version < \"3\" and platform_python_implementation == \"CPython\"", "brotli (>=1.0.9) ; python_version >= \"3\" and platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; (os_name != \"nt\" or python_version >= \"3\") and platform_python_implementation != \"CPython\"", "brotlipy (>=0.6.0) ; os_name == \"nt\" and python_version < \"3\""] -secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress ; python_version == \"2.7\"", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] +brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"] +secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] [[package]] @@ -5834,8 +5471,6 @@ version = "0.34.0" description = "Python Data Validation for Humans™" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"weaviate\"" files = [ {file = "validators-0.34.0-py3-none-any.whl", hash = "sha256:c804b476e3e6d3786fa07a30073a4ef694e617805eb1946ceee3fe5a9b8b1321"}, {file = "validators-0.34.0.tar.gz", hash = "sha256:647fe407b45af9a74d245b943b18e6a816acf4926974278f6dd617778e1e781f"}, @@ -5846,14 +5481,13 @@ crypto-eth-addresses = ["eth-hash[pycryptodome] (>=0.7.0)"] [[package]] name = "virtualenv" -version = "20.29.1" +version = "20.29.3" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ - {file = "virtualenv-20.29.1-py3-none-any.whl", hash = "sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779"}, - {file = "virtualenv-20.29.1.tar.gz", hash = "sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35"}, + {file = "virtualenv-20.29.3-py3-none-any.whl", hash = "sha256:3e3d00f5807e83b234dfb6122bf37cfadf4be216c53a49ac059d02414f819170"}, + {file = "virtualenv-20.29.3.tar.gz", hash = "sha256:95e39403fcf3940ac45bc717597dba16110b74506131845d9b687d5e73d947ac"}, ] [package.dependencies] @@ -5863,19 +5497,17 @@ platformdirs = ">=3.9.1,<5" [package.extras] docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] -test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] [[package]] name = "weaviate-client" -version = "4.10.4" +version = "4.11.1" description = "A python native Weaviate client" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"weaviate\"" files = [ - {file = "weaviate_client-4.10.4-py3-none-any.whl", hash = "sha256:d9808456ba109fcd99331bc833b61cf520bf6ad9db442db621e12f78c8480c4c"}, - {file = "weaviate_client-4.10.4.tar.gz", hash = "sha256:a1e799fc41d9f43a56c95490f6c14f475861f27d2a62b9b6de28a1db5494751d"}, + {file = "weaviate_client-4.11.1-py3-none-any.whl", hash = "sha256:5fa117dd2f3fa18a3fe683ba80ac6936936eb8d03ff037e984f1e4ad0a50e7b9"}, + {file = "weaviate_client-4.11.1.tar.gz", hash = "sha256:1a2062cd76d7c7047c29efc3468ec9117223f321c424a685ec3ecf09f6421d61"}, ] [package.dependencies] @@ -5887,13 +5519,15 @@ httpx = ">=0.26.0,<0.29.0" pydantic = ">=2.8.0,<3.0.0" validators = "0.34.0" +[package.extras] +agents = ["weaviate-agents (>=0.3.0,<1.0.0)"] + [[package]] name = "webencodings" version = "0.5.1" description = "Character encoding aliases for legacy web content" optional = false python-versions = "*" -groups = ["dev"] files = [ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, @@ -5905,8 +5539,6 @@ version = "1.17.2" description = "Module for decorators, wrappers and monkey patching." optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"experimental\"" files = [ {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"}, {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"}, @@ -5995,8 +5627,6 @@ version = "1.18.3" description = "Yet another URL library" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"experimental\"" 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"}, @@ -6093,19 +5723,17 @@ version = "3.21.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" -groups = ["dev"] -markers = "python_version < \"3.10\"" files = [ {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"}, {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] -test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] type = ["pytest-mypy"] [[package]] @@ -6114,7 +5742,6 @@ version = "0.23.0" description = "Zstandard bindings for Python" optional = true python-versions = ">=3.8" -groups = ["main", "dev"] files = [ {file = "zstandard-0.23.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9"}, {file = "zstandard-0.23.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fc9ca1c9718cb3b06634c7c8dec57d24e9438b2aa9a0f02b8bb36bf478538880"}, @@ -6214,7 +5841,6 @@ files = [ {file = "zstandard-0.23.0-cp39-cp39-win_amd64.whl", hash = "sha256:f8346bfa098532bc1fb6c7ef06783e969d87a99dd1d2a5a18a892c1d7a643c58"}, {file = "zstandard-0.23.0.tar.gz", hash = "sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09"}, ] -markers = {main = "extra == \"experimental\""} [package.dependencies] cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""} @@ -6238,6 +5864,6 @@ sentence-transformers = ["sentence-transformers"] weaviate = ["weaviate-client"] [metadata] -lock-version = "2.1" +lock-version = "2.0" python-versions = "^3.9.0" -content-hash = "126a8776a26c7ae409783d4c11de22c498e634c46efabe14e1d78b8d814357ce" +content-hash = "6e3000c7eb7f83f5117ca2e6850bec628ed45fe0826f54fda703152c2f563911" diff --git a/pyproject.toml b/pyproject.toml index 5498bc7b5..17e6e421f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,7 +50,7 @@ mistralai = {version = "^1.0.3", optional = true} qdrant-client = {version = "^1.11.3", optional = true} llama-index = {version = "^0.12.0", optional = true } openai = {version = "^1.51.1", optional = true } -anthropic = { version = "^0.36.0", optional = true} +anthropic = {version = "^0.49.0", optional = true} sentence-transformers = {version = "^3.0.0", optional = true } ollama = {version = "^0.4.4", optional = true} diff --git a/src/neo4j_graphrag/experimental/components/entity_relation_extractor.py b/src/neo4j_graphrag/experimental/components/entity_relation_extractor.py index 2137cfa27..17d7832fc 100644 --- a/src/neo4j_graphrag/experimental/components/entity_relation_extractor.py +++ b/src/neo4j_graphrag/experimental/components/entity_relation_extractor.py @@ -346,13 +346,11 @@ async def run( return graph def validate_chunk( - self, - chunk_graph: Neo4jGraph, - schema: SchemaConfig + self, chunk_graph: Neo4jGraph, schema: SchemaConfig ) -> Neo4jGraph: """ - Perform validation after entity and relation extraction: - - Enforce schema if schema enforcement mode is on and schema is provided + Perform validation after entity and relation extraction: + - Enforce schema if schema enforcement mode is on and schema is provided """ if self.enforce_schema != SchemaEnforcementMode.NONE: if not schema or not schema.entities: # schema is not provided @@ -365,9 +363,9 @@ def validate_chunk( return chunk_graph def _clean_graph( - self, - graph: Neo4jGraph, - schema: SchemaConfig, + self, + graph: Neo4jGraph, + schema: SchemaConfig, ) -> Neo4jGraph: """ Verify that the graph conforms to the provided schema. @@ -389,17 +387,15 @@ def _clean_graph( return Neo4jGraph(nodes=filtered_nodes, relationships=filtered_rels) def _enforce_nodes( - self, - extracted_nodes: List[Neo4jNode], - schema: SchemaConfig + self, extracted_nodes: List[Neo4jNode], schema: SchemaConfig ) -> List[Neo4jNode]: """ - Filter extracted nodes to be conformant to the schema. + Filter extracted nodes to be conformant to the schema. - Keep only those whose label is in schema. - For each valid node, filter out properties not present in the schema. - Remove a node if it ends up with no valid properties. - """ + Keep only those whose label is in schema. + For each valid node, filter out properties not present in the schema. + Remove a node if it ends up with no valid properties. + """ if self.enforce_schema != SchemaEnforcementMode.STRICT: return extracted_nodes @@ -424,10 +420,10 @@ def _enforce_nodes( return valid_nodes def _enforce_relationships( - self, - extracted_relationships: List[Neo4jRelationship], - filtered_nodes: List[Neo4jNode], - schema: SchemaConfig + self, + extracted_relationships: List[Neo4jRelationship], + filtered_nodes: List[Neo4jNode], + schema: SchemaConfig, ) -> List[Neo4jRelationship]: """ Filter extracted nodes to be conformant to the schema. @@ -447,12 +443,16 @@ def _enforce_relationships( potential_schema = schema.potential_schema for rel in extracted_relationships: - schema_relation = schema.relations.get(rel.type) + schema_relation = ( + schema.relations.get(rel.type) if schema.relations else None + ) if not schema_relation: continue - if (rel.start_node_id not in valid_nodes or - rel.end_node_id not in valid_nodes): + if ( + rel.start_node_id not in valid_nodes + or rel.end_node_id not in valid_nodes + ): continue start_label = valid_nodes[rel.start_node_id] @@ -461,8 +461,11 @@ def _enforce_relationships( tuple_valid = True if potential_schema: tuple_valid = (start_label, rel.type, end_label) in potential_schema - reverse_tuple_valid = ((end_label, rel.type, start_label) in - potential_schema) + reverse_tuple_valid = ( + end_label, + rel.type, + start_label, + ) in potential_schema if not tuple_valid and not reverse_tuple_valid: continue @@ -483,9 +486,7 @@ def _enforce_relationships( return valid_rels def _enforce_properties( - self, - properties: Dict[str, Any], - valid_properties: List[Dict[str, Any]] + self, properties: Dict[str, Any], valid_properties: List[Dict[str, Any]] ) -> Dict[str, Any]: """ Filter properties. @@ -493,8 +494,5 @@ def _enforce_properties( """ valid_prop_names = {prop["name"] for prop in valid_properties} return { - key: value - for key, value in properties.items() - if key in valid_prop_names + key: value for key, value in properties.items() if key in valid_prop_names } - diff --git a/src/neo4j_graphrag/experimental/pipeline/config/template_pipeline/simple_kg_builder.py b/src/neo4j_graphrag/experimental/pipeline/config/template_pipeline/simple_kg_builder.py index 2e45a2db1..02266eded 100644 --- a/src/neo4j_graphrag/experimental/pipeline/config/template_pipeline/simple_kg_builder.py +++ b/src/neo4j_graphrag/experimental/pipeline/config/template_pipeline/simple_kg_builder.py @@ -39,7 +39,7 @@ ) from neo4j_graphrag.experimental.components.types import ( LexicalGraphConfig, - SchemaEnforcementMode + SchemaEnforcementMode, ) from neo4j_graphrag.experimental.pipeline.config.object_config import ComponentType from neo4j_graphrag.experimental.pipeline.config.template_pipeline.base import ( diff --git a/src/neo4j_graphrag/llm/cohere_llm.py b/src/neo4j_graphrag/llm/cohere_llm.py index b008b65f1..ecddd53ea 100644 --- a/src/neo4j_graphrag/llm/cohere_llm.py +++ b/src/neo4j_graphrag/llm/cohere_llm.py @@ -124,7 +124,7 @@ def invoke( except self.cohere_api_error as e: raise LLMGenerationError(e) return LLMResponse( - content=res.message.content[0].text, + content=res.message.content[0].text if res.message.content else "", ) async def ainvoke( @@ -148,12 +148,12 @@ async def ainvoke( if isinstance(message_history, MessageHistory): message_history = message_history.messages messages = self.get_messages(input, message_history, system_instruction) - res = self.async_client.chat( + res = await self.async_client.chat( messages=messages, model=self.model_name, ) except self.cohere_api_error as e: raise LLMGenerationError(e) return LLMResponse( - content=res.message.content[0].text, + content=res.message.content[0].text if res.message.content else "", ) diff --git a/tests/unit/experimental/components/test_entity_relation_extractor.py b/tests/unit/experimental/components/test_entity_relation_extractor.py index f117c1893..21fe8807d 100644 --- a/tests/unit/experimental/components/test_entity_relation_extractor.py +++ b/tests/unit/experimental/components/test_entity_relation_extractor.py @@ -236,18 +236,23 @@ async def test_extractor_no_schema_enforcement() -> None: llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"0","label":"Alien","properties":{"foo":"bar"}}],' - '"relationships":[]}' + '"relationships":[]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.NONE) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.NONE + ) schema = SchemaConfig( - entities={"Person": {"label": "Person", - "properties": [{"name": "name", "type": "STRING"}]}}, + entities={ + "Person": { + "label": "Person", + "properties": [{"name": "name", "type": "STRING"}], + } + }, relations={}, - potential_schema=[]) + potential_schema=[], + ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) @@ -259,16 +264,16 @@ async def test_extractor_no_schema_enforcement() -> None: @pytest.mark.asyncio -async def test_extractor_schema_enforcement_when_no_schema_provided(): +async def test_extractor_schema_enforcement_when_no_schema_provided() -> None: llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"0","label":"Alien","properties":{"foo":"bar"}}],' - '"relationships":[]}' + '"relationships":[]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.STRICT) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.STRICT + ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) @@ -280,23 +285,28 @@ async def test_extractor_schema_enforcement_when_no_schema_provided(): @pytest.mark.asyncio -async def test_extractor_schema_enforcement_invalid_nodes(): +async def test_extractor_schema_enforcement_invalid_nodes() -> None: llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"0","label":"Alien","properties":{"foo":"bar"}},' - '{"id":"1","label":"Person","properties":{"name":"Alice"}}],' - '"relationships":[]}' + '{"id":"1","label":"Person","properties":{"name":"Alice"}}],' + '"relationships":[]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.STRICT) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.STRICT + ) schema = SchemaConfig( - entities={"Person": {"label": "Person", - "properties": [{"name": "name", "type": "STRING"}]}}, + entities={ + "Person": { + "label": "Person", + "properties": [{"name": "name", "type": "STRING"}], + } + }, relations={}, - potential_schema=[]) + potential_schema=[], + ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) @@ -308,24 +318,31 @@ async def test_extractor_schema_enforcement_invalid_nodes(): @pytest.mark.asyncio -async def test_extraction_schema_enforcement_invalid_node_properties(): +async def test_extraction_schema_enforcement_invalid_node_properties() -> None: llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"1","label":"Person","properties":' - '{"name":"Alice","age":30,"foo":"bar"}}],' - '"relationships":[]}' + '{"name":"Alice","age":30,"foo":"bar"}}],' + '"relationships":[]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.STRICT) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.STRICT + ) schema = SchemaConfig( - entities={"Person": {"label": "Person", - "properties": [{"name": "name", "type": "STRING"}, - {"name": "age", "type": "INTEGER"}]}}, + entities={ + "Person": { + "label": "Person", + "properties": [ + {"name": "name", "type": "STRING"}, + {"name": "age", "type": "INTEGER"}, + ], + } + }, relations={}, - potential_schema=[]) + potential_schema=[], + ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) @@ -338,20 +355,20 @@ async def test_extraction_schema_enforcement_invalid_node_properties(): @pytest.mark.asyncio -async def test_extractor_schema_enforcement_valid_nodes_with_empty_props(): +async def test_extractor_schema_enforcement_valid_nodes_with_empty_props() -> None: llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"1","label":"Person","properties":{"foo":"bar"}}],' - '"relationships":[]}' + '"relationships":[]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.STRICT) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.STRICT + ) - schema = SchemaConfig(entities={"Person": {"label": "Person"}}, - relations={}, - potential_schema=[]) + schema = SchemaConfig( + entities={"Person": {"label": "Person"}}, relations={}, potential_schema=[] + ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) @@ -361,25 +378,30 @@ async def test_extractor_schema_enforcement_valid_nodes_with_empty_props(): @pytest.mark.asyncio -async def test_extractor_schema_enforcement_invalid_relations_wrong_types(): +async def test_extractor_schema_enforcement_invalid_relations_wrong_types() -> None: llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"1","label":"Person","properties":' - '{"name":"Alice"}},{"id":"2","label":"Person","properties":' - '{"name":"Bob"}}],' - '"relationships":[{"start_node_id":"1","end_node_id":"2",' - '"type":"FRIENDS_WITH","properties":{}}]}' + '{"name":"Alice"}},{"id":"2","label":"Person","properties":' + '{"name":"Bob"}}],' + '"relationships":[{"start_node_id":"1","end_node_id":"2",' + '"type":"FRIENDS_WITH","properties":{}}]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.STRICT) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.STRICT + ) schema = SchemaConfig( - entities={"Person": {"label": "Person", - "properties": [{"name": "name", "type": "STRING"}]}}, + entities={ + "Person": { + "label": "Person", + "properties": [{"name": "name", "type": "STRING"}], + } + }, relations={"LIKES": {"label": "LIKES"}}, - potential_schema=[]) + potential_schema=[], + ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) @@ -390,27 +412,36 @@ async def test_extractor_schema_enforcement_invalid_relations_wrong_types(): @pytest.mark.asyncio -async def test_extractor_schema_enforcement_invalid_relations_wrong_start_node(): +async def test_extractor_schema_enforcement_invalid_relations_wrong_start_node() -> ( + None +): llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"1","label":"Person","properties":{"name":"Alice"}},' - '{"id":"2","label":"Person","properties":{"name":"Bob"}}, ' - '{"id":"3","label":"City","properties":{"name":"London"}}],' - '"relationships":[{"start_node_id":"1","end_node_id":"2",' - '"type":"LIVES_IN","properties":{}}]}' + '{"id":"2","label":"Person","properties":{"name":"Bob"}}, ' + '{"id":"3","label":"City","properties":{"name":"London"}}],' + '"relationships":[{"start_node_id":"1","end_node_id":"2",' + '"type":"LIVES_IN","properties":{}}]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.STRICT) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.STRICT + ) schema = SchemaConfig( - entities={"Person": {"label": "Person", - "properties": [{"name": "name", "type": "STRING"}]}, - "City": {"label": "City", - "properties": [{"name": "name", "type": "STRING"}]}}, + entities={ + "Person": { + "label": "Person", + "properties": [{"name": "name", "type": "STRING"}], + }, + "City": { + "label": "City", + "properties": [{"name": "name", "type": "STRING"}], + }, + }, relations={"LIVES_IN": {"label": "LIVES_IN"}}, - potential_schema=[("Person", "LIVES_IN", "City")]) + potential_schema=[("Person", "LIVES_IN", "City")], + ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) @@ -421,25 +452,33 @@ async def test_extractor_schema_enforcement_invalid_relations_wrong_start_node() @pytest.mark.asyncio -async def test_extractor_schema_enforcement_invalid_relation_properties(): +async def test_extractor_schema_enforcement_invalid_relation_properties() -> None: llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"1","label":"Person","properties":{"name":"Alice"}},' - '{"id":"2","label":"Person","properties":{"name":"Bob"}}],' - '"relationships":[{"start_node_id":"1","end_node_id":"2",' - '"type":"LIKES","properties":{"strength":"high","foo":"bar"}}]}' + '{"id":"2","label":"Person","properties":{"name":"Bob"}}],' + '"relationships":[{"start_node_id":"1","end_node_id":"2",' + '"type":"LIKES","properties":{"strength":"high","foo":"bar"}}]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.STRICT) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.STRICT + ) schema = SchemaConfig( - entities={"Person": {"label": "Person", - "properties": [{"name": "name", "type": "STRING"}]}}, - relations={"LIKES": {"label": "LIKES", - "properties": [{"name": "strength", "type": "STRING"}]}}, - potential_schema=[] + entities={ + "Person": { + "label": "Person", + "properties": [{"name": "name", "type": "STRING"}], + } + }, + relations={ + "LIKES": { + "label": "LIKES", + "properties": [{"name": "strength", "type": "STRING"}], + } + }, + potential_schema=[], ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) @@ -454,24 +493,29 @@ async def test_extractor_schema_enforcement_invalid_relation_properties(): @pytest.mark.asyncio -async def test_extractor_schema_enforcement_removed_relation_start_end_nodes(): +async def test_extractor_schema_enforcement_removed_relation_start_end_nodes() -> None: llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"1","label":"Alien","properties":{}},' - '{"id":"2","label":"Robot","properties":{}}],' - '"relationships":[{"start_node_id":"1","end_node_id":"2",' - '"type":"LIKES","properties":{}}]}' + '{"id":"2","label":"Robot","properties":{}}],' + '"relationships":[{"start_node_id":"1","end_node_id":"2",' + '"type":"LIKES","properties":{}}]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.STRICT) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.STRICT + ) schema = SchemaConfig( - entities={"Person": {"label": "Person", - "properties": [{"name": "name", "type": "STRING"}]}}, + entities={ + "Person": { + "label": "Person", + "properties": [{"name": "name", "type": "STRING"}], + } + }, relations={"LIKES": {"label": "LIKES"}}, - potential_schema=[("Person", "LIKES", "Person")]) + potential_schema=[("Person", "LIKES", "Person")], + ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) @@ -482,26 +526,33 @@ async def test_extractor_schema_enforcement_removed_relation_start_end_nodes(): @pytest.mark.asyncio -async def test_extractor_schema_enforcement_inverted_relation_direction(): +async def test_extractor_schema_enforcement_inverted_relation_direction() -> None: llm = MagicMock(spec=LLMInterface) llm.ainvoke.return_value = LLMResponse( content='{"nodes":[{"id":"1","label":"Person","properties":{"name":"Alice"}},' - '{"id":"2","label":"City","properties":{"name":"London"}}],' - '"relationships":[{"start_node_id":"2","end_node_id":"1",' - '"type":"LIVES_IN","properties":{}}]}' + '{"id":"2","label":"City","properties":{"name":"London"}}],' + '"relationships":[{"start_node_id":"2","end_node_id":"1",' + '"type":"LIVES_IN","properties":{}}]}' ) - extractor = LLMEntityRelationExtractor(llm=llm, - create_lexical_graph=False, - enforce_schema=SchemaEnforcementMode.STRICT) + extractor = LLMEntityRelationExtractor( + llm=llm, create_lexical_graph=False, enforce_schema=SchemaEnforcementMode.STRICT + ) schema = SchemaConfig( - entities={"Person": {"label": "Person", - "properties": [{"name": "name", "type": "STRING"}]}, - "City": {"label": "City", - "properties": [{"name": "name", "type": "STRING"}]}}, + entities={ + "Person": { + "label": "Person", + "properties": [{"name": "name", "type": "STRING"}], + }, + "City": { + "label": "City", + "properties": [{"name": "name", "type": "STRING"}], + }, + }, relations={"LIVES_IN": {"label": "LIVES_IN"}}, - potential_schema=[("Person", "LIVES_IN", "City")]) + potential_schema=[("Person", "LIVES_IN", "City")], + ) chunks = TextChunks(chunks=[TextChunk(text="some text", index=0)]) diff --git a/tests/unit/llm/test_cohere_llm.py b/tests/unit/llm/test_cohere_llm.py index 9ba9138e7..10a02ec86 100644 --- a/tests/unit/llm/test_cohere_llm.py +++ b/tests/unit/llm/test_cohere_llm.py @@ -50,7 +50,8 @@ def test_cohere_llm_happy_path(mock_cohere: Mock) -> None: def test_cohere_llm_invoke_with_message_history_happy_path(mock_cohere: Mock) -> None: chat_response_mock = MagicMock() chat_response_mock.message.content = [MagicMock(text="cohere response text")] - mock_cohere.ClientV2.return_value.chat.return_value = chat_response_mock + mock_cohere_client_chat = mock_cohere.ClientV2.return_value.chat + mock_cohere_client_chat.return_value = chat_response_mock system_instruction = "You are a helpful assistant." llm = CohereLLM(model_name="something") @@ -66,7 +67,7 @@ def test_cohere_llm_invoke_with_message_history_happy_path(mock_cohere: Mock) -> messages = [{"role": "system", "content": system_instruction}] messages.extend(message_history) messages.append({"role": "user", "content": question}) - llm.client.chat.assert_called_once_with( + mock_cohere_client_chat.assert_called_once_with( messages=messages, model="something", ) @@ -77,7 +78,8 @@ def test_cohere_llm_invoke_with_message_history_and_system_instruction( ) -> None: chat_response_mock = MagicMock() chat_response_mock.message.content = [MagicMock(text="cohere response text")] - mock_cohere.ClientV2.return_value.chat.return_value = chat_response_mock + mock_cohere_client_chat = mock_cohere.ClientV2.return_value.chat + mock_cohere_client_chat.return_value = chat_response_mock system_instruction = "You are a helpful assistant." llm = CohereLLM(model_name="gpt") @@ -93,11 +95,10 @@ def test_cohere_llm_invoke_with_message_history_and_system_instruction( messages = [{"role": "system", "content": system_instruction}] messages.extend(message_history) messages.append({"role": "user", "content": question}) - llm.client.chat.assert_called_once_with( + mock_cohere_client_chat.assert_called_once_with( messages=messages, model="gpt", ) - assert llm.client.chat.call_count == 1 def test_cohere_llm_invoke_with_message_history_validation_error( @@ -122,9 +123,12 @@ def test_cohere_llm_invoke_with_message_history_validation_error( @pytest.mark.asyncio async def test_cohere_llm_happy_path_async(mock_cohere: Mock) -> None: - chat_response_mock = AsyncMock() - chat_response_mock.message.content = [AsyncMock(text="cohere response text")] - mock_cohere.AsyncClientV2.return_value.chat.return_value = chat_response_mock + chat_response_mock = MagicMock( + message=MagicMock(content=[MagicMock(text="cohere response text")]) + ) + mock_cohere.AsyncClientV2.return_value.chat = AsyncMock( + return_value=chat_response_mock + ) llm = CohereLLM(model_name="something") res = await llm.ainvoke("my text")