Add type to DataPoint metadata #362
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WalkthroughThe pull request introduces modifications across multiple database adapter classes, primarily focusing on the addition of a Changes
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Actionable comments posted: 10
🧹 Outside diff range and nitpick comments (5)
cognee/tasks/storage/index_data_points.py (3)
Line range hint
34-82: Add type hints for default parametersConsider adding type hints for
added_data_pointsandvisited_propertiesto improve code clarity:-async def get_data_points_from_model(data_point: DataPoint, added_data_points = None, visited_properties = None) -> list[DataPoint]: +async def get_data_points_from_model( + data_point: DataPoint, + added_data_points: dict[str, bool] | None = None, + visited_properties: dict[str, bool] | None = None +) -> list[DataPoint]:
84-86: Consider using a base type definitionThe type metadata addition is good, but consider defining a base type structure to ensure consistency across all DataPoint classes.
# In the DataPoint base class: class DataPoint: _metadata: ClassVar[dict] = { "type": "DataPoint", "index_fields": [] } # In derived classes: class Car(DataPoint): _metadata = { "type": "Car", "index_fields": [] # Preserve existing metadata }Also applies to: 93-95
83-95: Add docstrings to test classesConsider adding docstrings to the test classes to document their purpose and metadata structure.
class Car(DataPoint): + """Test class representing a car with type metadata. + + Attributes: + model (str): The car model + color (str): The car color + """ model: str color: str _metadata = { "type": "Car" } class Person(DataPoint): + """Test class representing a person with type metadata and car ownership. + + Attributes: + name (str): Person's name + age (int): Person's age + owns_car (list[Car]): List of cars owned by the person + """ name: str age: int owns_car: list[Car]cognee/shared/CodeGraphEntities.py (1)
42-44: Consider adding index_fields to CodeRelationship metadata for consistency.While other classes include both "type" and "index_fields" in their metadata, CodeRelationship only includes "type". Consider adding the index_fields entry for consistency, even if empty.
_metadata: dict = { + "index_fields": [], "type": "CodeRelationship" }cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py (1)
Line range hint
91-106: Consider extracting LanceDataPoint to module levelThe
LanceDataPointclass is defined twice in the file (in bothcreate_collectionandcreate_data_pointsmethods). Consider extracting it to module level to avoid duplication and improve maintainability.+IdType = TypeVar("IdType") +PayloadSchema = TypeVar("PayloadSchema") + +class LanceDataPoint(LanceModel, Generic[IdType, PayloadSchema]): + id: IdType + vector: Vector + payload: PayloadSchema + + def __init__(self, vector_size: int, *args, **kwargs): + super().__init__(*args, **kwargs) + self.__annotations__["vector"] = Vector(vector_size) class LanceDBAdapter(VectorDBInterface): # ... existing code ... async def create_collection(self, collection_name: str, payload_schema: BaseModel): vector_size = self.embedding_engine.get_vector_size() payload_schema = self.get_data_point_schema(payload_schema) - data_point_types = get_type_hints(payload_schema) - - class LanceDataPoint(LanceModel): - id: data_point_types["id"] - vector: Vector(vector_size) - payload: payload_schema + DataPointType = LanceDataPoint[str, payload_schema] async def create_data_points(self, collection_name: str, data_points: list[DataPoint]): # ... existing code ... - IdType = TypeVar("IdType") - PayloadSchema = TypeVar("PayloadSchema") - vector_size = self.embedding_engine.get_vector_size() - - class LanceDataPoint(LanceModel, Generic[IdType, PayloadSchema]): - id: IdType - vector: Vector(vector_size) - payload: PayloadSchema
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📒 Files selected for processing (18)
cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py(2 hunks)cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py(1 hunks)cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py(3 hunks)cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py(2 hunks)cognee/infrastructure/databases/vector/qdrant/QDrantAdapter.py(2 hunks)cognee/infrastructure/databases/vector/weaviate_db/WeaviateAdapter.py(2 hunks)cognee/infrastructure/engine/models/DataPoint.py(3 hunks)cognee/modules/chunking/models/DocumentChunk.py(2 hunks)cognee/modules/data/processing/document_types/Document.py(1 hunks)cognee/modules/engine/models/Entity.py(1 hunks)cognee/modules/graph/models/EdgeType.py(1 hunks)cognee/modules/graph/utils/convert_node_to_data_point.py(1 hunks)cognee/shared/CodeGraphEntities.py(1 hunks)cognee/shared/SourceCodeGraph.py(2 hunks)cognee/tasks/storage/index_data_points.py(3 hunks)cognee/tasks/summarization/models.py(2 hunks)cognee/tests/unit/interfaces/graph/get_graph_from_huge_model_test.py(2 hunks)cognee/tests/unit/interfaces/graph/get_graph_from_model_test.py(2 hunks)
✅ Files skipped from review due to trivial changes (3)
- cognee/modules/engine/models/Entity.py
- cognee/modules/graph/models/EdgeType.py
- cognee/modules/chunking/models/DocumentChunk.py
🧰 Additional context used
🪛 Ruff (0.8.2)
cognee/modules/data/processing/document_types/Document.py
17-17: Redefinition of unused read from line 15
(F811)
cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py
256-256: SyntaxError: Unexpected indentation
cognee/infrastructure/engine/models/DataPoint.py
46-46: Redefinition of unused get_embeddable_property_names from line 44
(F811)
cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py
343-343: SyntaxError: Unexpected indentation
cognee/infrastructure/databases/vector/qdrant/QDrantAdapter.py
278-278: SyntaxError: Unexpected indentation
🔇 Additional comments (20)
cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py (2)
7-12: LGTM! Import organization improves readability
The reorganization of imports follows good practices by:
- Separating standard library imports from project imports
- Grouping related imports together
21-22: LGTM! Type metadata addition aligns with PR objective
The addition of "type": "IndexSchema" to metadata:
- Enhances type safety and identification
- Maintains consistency with other adapter implementations
cognee/tasks/storage/index_data_points.py (1)
Line range hint 4-32: Verify index_fields metadata existence
The function assumes _metadata["index_fields"] exists but with the addition of type metadata, we should ensure this doesn't break existing functionality.
cognee/infrastructure/databases/vector/weaviate_db/WeaviateAdapter.py (3)
8-8: Correctly added import for EmbeddingEngine
The import statement for EmbeddingEngine is necessary for the use of the embedding functionality within the WeaviateAdapter class.
10-10: Correctly added import for ScoredResult
The import of ScoredResult enables the adapter to return search results with scores, which is appropriate.
19-20: Updated _metadata with "type": "IndexSchema"
Adding the "type" key to the _metadata dictionary in IndexSchema enhances type identification and consistency across the codebase.
cognee/modules/data/processing/document_types/Document.py (2)
3-3: Imported DataPoint successfully
The import statement brings in DataPoint for inheritance, which is correct.
11-13: Added _metadata to Document class
Including the _metadata dictionary with "type": "Document" improves metadata consistency and aids in type identification.
cognee/tasks/summarization/models.py (2)
13-13: Added "type": "TextSummary" to _metadata
Updating the _metadata dictionary in TextSummary with "type": "TextSummary" enhances type identification and aligns with the metadata structure used elsewhere.
24-24: Added "type": "CodeSummary" to _metadata
Including the "type": "CodeSummary" key in the _metadata dictionary of CodeSummary improves consistency and aids in distinguishing data point types.
cognee/shared/CodeGraphEntities.py (1)
9-12: LGTM! Consistent metadata implementation across classes.
The addition of type information in _metadata is well-structured and consistent across Repository, CodeFile, and CodePart classes.
Also applies to: 23-26, 33-36
cognee/infrastructure/engine/models/DataPoint.py (1)
18-19: LGTM! Base class metadata properly defined.
The addition of type information to the base DataPoint class is well-implemented while preserving the existing index_fields structure.
cognee/tests/unit/interfaces/graph/get_graph_from_model_test.py (1)
12-14: LGTM! Consistent type metadata in test classes.
The addition of type information in test classes follows the same pattern as the main implementation classes.
Also applies to: 20-22, 26-28, 33-35
cognee/shared/SourceCodeGraph.py (1)
14-15: Verify the impact of replacing Literal types with metadata
The change from Literal type hints to metadata-based type information is a significant architectural change. While this provides runtime type information, it removes compile-time type checking benefits.
Also applies to: 23-24, 35-36, 47-48, 59-60, 68-69, 78-79, 96-97
cognee/tests/unit/interfaces/graph/get_graph_from_huge_model_test.py (1)
14-16: LGTM! Consistent metadata implementation
The addition of type metadata to Repository, CodeFile, and CodePart classes is consistent with the PR objective and maintains test functionality.
Also applies to: 23-25, 30-32
cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py (1)
24-27: LGTM! Consistent metadata implementation
The addition of type metadata to IndexSchema is consistent with the PR objective.
cognee/infrastructure/databases/vector/qdrant/QDrantAdapter.py (1)
21-22: LGTM: Metadata type addition is consistent
The addition of "type": "IndexSchema" to _metadata aligns with the PR objective.
cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py (2)
26-27: LGTM: Metadata type addition is consistent
The addition of "type": "IndexSchema" to _metadata aligns with the PR objective.
314-315:
Remove redundant delete_database call
The delete_database() method is called twice unnecessarily.
Apply this diff to fix the issue:
async def prune(self):
# Clean up the database if it was set up as temporary
await self.delete_database()
- # Clean up the database if it was set up as temporary
- await self.delete_database()Likely invalid or redundant comment.
cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py (1)
22-23: LGTM: Metadata type addition is consistent
The addition of "type": "IndexSchema" to _metadata aligns with the PR objective.
| client.drop_collection(collection_name=collection_name) | ||
| client.close() |
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Remove duplicate code in prune method
These lines appear to be accidentally duplicated from the code above. They perform the same collection drop operation unnecessarily and have incorrect indentation.
Apply this diff to fix the issue:
async def prune(self):
client = self.get_milvus_client()
if client:
collections = client.list_collections()
for collection_name in collections:
client.drop_collection(collection_name=collection_name)
client.close()
- client.drop_collection(collection_name=collection_name)
- client.close()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| client.drop_collection(collection_name=collection_name) | |
| client.close() | |
| client.drop_collection(collection_name=collection_name) | |
| client.close() |
🧰 Tools
🪛 Ruff (0.8.2)
256-256: SyntaxError: Unexpected indentation
| @@ -93,3 +101,4 @@ class Person(DataPoint): | |||
| data_points = get_data_points_from_model(person) | |||
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| print(data_points) | |||
| print(data_points) | |||
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Remove duplicate print statement
The data_points are printed twice. Remove the duplicate print statement.
- print(data_points)| @@ -243,3 +245,4 @@ async def delete_data_points(self, collection_name: str, data_point_ids: list[st | |||
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| async def prune(self): | |||
| self.client.collections.delete_all() | |||
| self.client.collections.delete_all() | |||
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Remove duplicate collection deletion in prune method
The prune method calls self.client.collections.delete_all() twice, which is redundant and unnecessary. This could lead to unintended side effects or performance issues.
Apply this diff to fix the issue:
async def prune(self):
self.client.collections.delete_all()
- self.client.collections.delete_all()Committable suggestion skipped: line range outside the PR's diff.
| def read(self, chunk_size: int) -> str: | ||
| pass |
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Remove duplicate definition of read method
The read method is defined twice in the Document class, causing a redefinition error as indicated by the static analysis hint (F811). This can lead to unexpected behavior or runtime errors.
Apply this diff to fix the issue:
- def read(self, chunk_size: int) -> str:
- pass🧰 Tools
🪛 Ruff (0.8.2)
17-17: Redefinition of unused read from line 15
(F811)
| @@ -2,7 +2,7 @@ | |||
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| def convert_node_to_data_point(node_data: dict) -> DataPoint: | |||
| subclass = find_subclass_by_name(DataPoint, node_data["type"]) | |||
| subclass = find_subclass_by_name(DataPoint, node_data._metadata["type"]) | |||
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Ensure node_data has _metadata attribute with "type" key
The change accesses node_data._metadata["type"] instead of node_data["type"]. Verify that node_data is an object with an _metadata attribute containing the "type" key. If node_data is a dictionary, this change may cause an AttributeError.
Consider adding a check to ensure that _metadata exists and handle cases where node_data might not have this attribute.
| def get_embeddable_property_names(self, data_point): | ||
| return data_point._metadata["index_fields"] or [] |
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Remove duplicate method definition.
The method get_embeddable_property_names is defined twice. The second definition at line 46 is redundant and should be removed.
- def get_embeddable_property_names(self, data_point):
- return data_point._metadata["index_fields"] or []🧰 Tools
🪛 Ruff (0.8.2)
46-46: Redefinition of unused get_embeddable_property_names from line 44
(F811)
| asyncio.run(get_graph_from_model_test()) | ||
| asyncio.run(get_graph_from_model_test()) |
There was a problem hiding this comment.
Remove duplicate test execution.
The test function is being executed twice due to duplicate asyncio.run() calls. This could lead to misleading test results and increased test execution time.
if __name__ == "__main__":
asyncio.run(get_graph_from_model_test())
- asyncio.run(get_graph_from_model_test())📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| asyncio.run(get_graph_from_model_test()) | |
| asyncio.run(get_graph_from_model_test()) | |
| asyncio.run(get_graph_from_model_test()) |
cognee/shared/SourceCodeGraph.py
Outdated
| SourceCodeGraph.model_rebuild() | ||
| FunctionCall.model_rebuild() | ||
| SourceCodeGraph.model_rebuild() |
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Remove duplicate model_rebuild() calls
The model_rebuild() calls for FunctionCall and SourceCodeGraph are duplicated at lines 104-106. This is redundant and should be removed.
FunctionCall.model_rebuild()
SourceCodeGraph.model_rebuild()
-FunctionCall.model_rebuild()
-SourceCodeGraph.model_rebuild()Committable suggestion skipped: line range outside the PR's diff.
| await client.delete_collection(collection.name) | ||
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| await client.close() |
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Fix duplicate code and indentation in prune method
The code block is duplicated and incorrectly indented. This needs to be fixed to prevent runtime issues.
Apply this diff to fix the issues:
async def prune(self):
client = self.get_qdrant_client()
response = await client.get_collections()
for collection in response.collections:
await client.delete_collection(collection.name)
await client.close()
- await client.delete_collection(collection.name)
-
- await client.close()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| await client.delete_collection(collection.name) | |
| await client.close() | |
| await client.delete_collection(collection.name) | |
| await client.close() |
🧰 Tools
🪛 Ruff (0.8.2)
278-278: SyntaxError: Unexpected indentation
| async def prune(self): | ||
| await self.delete_graph() | ||
| print(f"Error deleting graph: {e}") | ||
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Fix duplicate prune method and syntax error
The prune method is duplicated and contains a syntax error with incomplete error handling.
Apply this diff to fix the issues:
async def prune(self):
await self.delete_graph()
- print(f"Error deleting graph: {e}")
-
- async def prune(self):
- await self.delete_graph()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| async def prune(self): | |
| await self.delete_graph() | |
| print(f"Error deleting graph: {e}") | |
| async def prune(self): | |
| await self.delete_graph() |
🧰 Tools
🪛 Ruff (0.8.2)
343-343: SyntaxError: Unexpected indentation
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py (2)
Line range hint
191-193: Extract duplicate validation logic into a helper methodThe validation logic for query parameters is duplicated in both
get_distance_from_collection_elementsandsearchmethods.Consider extracting the validation into a helper method:
+ def _validate_query_params(self, query_text: Optional[str], query_vector: Optional[List[float]]): + if query_text is None and query_vector is None: + raise InvalidValueError(message="One of query_text or query_vector must be provided!") + async def get_distance_from_collection_elements( self, collection_name: str, query_text: str = None, query_vector: List[float] = None, with_vector: bool = False )-> List[ScoredResult]: - if query_text is None and query_vector is None: - raise ValueError("One of query_text or query_vector must be provided!") + self._validate_query_params(query_text, query_vector)Also applies to: 258-260
Line range hint
216-217: Implement similarity score normalizationThere are TODO comments about adding normalization of similarity scores in both search methods.
Would you like me to help implement the similarity score normalization? I can provide an implementation that normalizes the scores to a [0,1] range for better comparison.
Also applies to: 283-284
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Review profile: CHILL
Plan: Pro
📒 Files selected for processing (19)
cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py(2 hunks)cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py(1 hunks)cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py(2 hunks)cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py(1 hunks)cognee/infrastructure/databases/vector/qdrant/QDrantAdapter.py(1 hunks)cognee/infrastructure/databases/vector/weaviate_db/WeaviateAdapter.py(2 hunks)cognee/infrastructure/engine/models/DataPoint.py(3 hunks)cognee/modules/chunking/models/DocumentChunk.py(2 hunks)cognee/modules/data/processing/document_types/Document.py(1 hunks)cognee/modules/engine/models/Entity.py(1 hunks)cognee/modules/engine/models/EntityType.py(1 hunks)cognee/modules/graph/models/EdgeType.py(1 hunks)cognee/modules/graph/utils/convert_node_to_data_point.py(1 hunks)cognee/shared/CodeGraphEntities.py(1 hunks)cognee/shared/SourceCodeGraph.py(2 hunks)cognee/tasks/storage/index_data_points.py(3 hunks)cognee/tasks/summarization/models.py(2 hunks)cognee/tests/unit/interfaces/graph/get_graph_from_huge_model_test.py(2 hunks)cognee/tests/unit/interfaces/graph/get_graph_from_model_test.py(2 hunks)
🚧 Files skipped from review as they are similar to previous changes (13)
- cognee/modules/chunking/models/DocumentChunk.py
- cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py
- cognee/modules/graph/utils/convert_node_to_data_point.py
- cognee/modules/engine/models/Entity.py
- cognee/modules/graph/models/EdgeType.py
- cognee/tasks/summarization/models.py
- cognee/tests/unit/interfaces/graph/get_graph_from_model_test.py
- cognee/shared/CodeGraphEntities.py
- cognee/tasks/storage/index_data_points.py
- cognee/infrastructure/databases/vector/qdrant/QDrantAdapter.py
- cognee/tests/unit/interfaces/graph/get_graph_from_huge_model_test.py
- cognee/infrastructure/databases/vector/weaviate_db/WeaviateAdapter.py
- cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
🧰 Additional context used
🪛 Ruff (0.8.2)
cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py
343-343: SyntaxError: Unexpected indentation
cognee/infrastructure/engine/models/DataPoint.py
46-46: Redefinition of unused get_embeddable_property_names from line 44
(F811)
cognee/modules/data/processing/document_types/Document.py
17-17: Redefinition of unused read from line 15
(F811)
🔇 Additional comments (13)
cognee/modules/data/processing/document_types/Document.py (2)
11-13: LGTM: Metadata type addition aligns with PR objective
The addition of _metadata with type "Document" follows the consistent pattern being implemented across the codebase.
17-18:
Remove duplicate definition of read method
The read method is defined twice in the Document class, causing a redefinition error.
- def read(self, chunk_size: int) -> str:
- pass🧰 Tools
🪛 Ruff (0.8.2)
17-17: Redefinition of unused read from line 15
(F811)
cognee/infrastructure/engine/models/DataPoint.py (2)
18-19: LGTM: Type metadata addition preserves existing functionality
The addition of "type": "DataPoint" to _metadata while maintaining the existing "index_fields" key ensures backward compatibility.
46-47:
Remove duplicate method definition
The method get_embeddable_property_names is defined twice. The second definition is redundant.
- def get_embeddable_property_names(self, data_point):
- return data_point._metadata["index_fields"] or []🧰 Tools
🪛 Ruff (0.8.2)
46-46: Redefinition of unused get_embeddable_property_names from line 44
(F811)
cognee/shared/SourceCodeGraph.py (3)
15-15: LGTM: Consistent type metadata implementation across classes
The addition of _metadata with appropriate type values is consistently implemented across all classes in the hierarchy.
Also applies to: 24-25, 36-36, 48-48, 60-60, 69-70, 79-80, 96-98
105-106:
Remove duplicate model_rebuild() calls
The model_rebuild() calls for FunctionCall and SourceCodeGraph are duplicated.
-FunctionCall.model_rebuild()
-SourceCodeGraph.model_rebuild()Line range hint 82-95: Verify type metadata impact on class relationships
The SourceCodeGraph class contains a complex hierarchy of node types. Please verify that the transition from literal types to metadata types doesn't affect type checking or runtime behavior.
✅ Verification successful
Let me gather more information about the type usage with corrected commands.
Based on the comprehensive results, I can now provide a final response:
No type-related issues found with the SourceCodeGraph node types transition
The codebase analysis shows that the type system is well-structured and safe:
- All node types (
Class,ClassInstance,Function, etc.) are properly defined asDataPointsubclasses with consistent metadata - Type imports and annotations are correctly used throughout the codebase
- No direct type string comparisons are used for these node types
- Type checking is handled through proper Pydantic model validation (
model_rebuild()calls are present) - The
Uniontype in the nodes list is correctly used with all possible node types
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify usage of SourceCodeGraph nodes and their types
# Check for direct type comparisons that might break
rg -A 2 "type\s*[=!]=\s*['\"]" --type py
# Check for isinstance checks that might need updates
rg -A 2 "isinstance.*\b(Class|ClassInstance|Function|FunctionCall|Variable|Operator|Expression)\b" --type py
# Look for type annotations using these classes
ast-grep --pattern 'List[$_]' --pattern 'Union[$_]'
Length of output: 1747
Script:
#!/bin/bash
# Search for type annotations and usage of node types separately
ast-grep --pattern 'List[Union[$_]]'
# Look for imports and usage of these types
rg -A 2 "\b(Class|ClassInstance|Function|FunctionCall|Variable|Operator|Expression)\b" --type py
# Check type checking related imports
rg "from typing import|import typing" --type py
# Look for any validation or type checking logic
rg "isinstance|issubclass|type\(" --type py
Length of output: 25357
cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py (2)
26-27: LGTM: Metadata type addition aligns with PR objectives
The addition of "type": "IndexSchema" to the metadata dictionary enhances type safety and improves data point identification.
Line range hint 155-161: LGTM: Proper error handling implementation
The error handling in the get_table method is well-implemented, using the appropriate custom exception type and providing a clear error message.
cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py (1)
341-344:
Fix duplicate prune method and syntax error
The prune method is duplicated and contains a syntax error with an indented print statement that doesn't belong to any try-except block.
Apply this diff to fix the issues:
async def prune(self):
await self.delete_graph()
- print(f"Error deleting graph: {e}")
-
- async def prune(self):
- await self.delete_graph()🧰 Tools
🪛 Ruff (0.8.2)
343-343: SyntaxError: Unexpected indentation
cognee/modules/engine/models/EntityType.py (3)
1-1: LGTM! Clean import and class definition.
The class definition and inheritance structure are well-organized and follow good practices.
Also applies to: 3-4
5-7: LGTM! Clear attribute definitions.
The string type annotations for name and description fields are appropriate and well-defined.
8-12: Verify impact of moving type to metadata.
The addition of type information to metadata aligns with the standardization effort. However, since the type attribute was removed, we should verify that all consumers of EntityType have been updated to access type information from metadata instead.
✅ Verification successful
Moving type to metadata appears safe and consistent with codebase patterns
Based on the search results, the change appears safe for the following reasons:
- The type information is consistently accessed through metadata across the codebase, as seen in
convert_node_to_data_point.pyusing_metadata["type"] - No direct access to a
.typeattribute on EntityType instances was found - The only type-related references found are either:
- Type hints (e.g.,
is_type: EntityType) - Instance creation (e.g.,
type_node = EntityType(...)) - Unrelated type checks in other contexts
- Type hints (e.g.,
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Search for direct references to EntityType.type to ensure the attribute removal won't break existing code
# Search for any remaining references to the removed type attribute
echo "Searching for potential broken references to EntityType.type..."
rg -l "EntityType\.type"
# Search for patterns that might need updating to use metadata instead
echo "Searching for patterns that might need updating to use metadata..."
ast-grep --pattern 'EntityType().$type'
# Look for similar patterns in test files
echo "Checking test files for potential issues..."
fd -e py -e pytest test | xargs rg "EntityType.*\.type"
Length of output: 503
Script:
#!/bin/bash
# Let's try a broader search to catch any references to EntityType and analyze the context
# Search for files containing EntityType references with context
echo "Searching for EntityType usage patterns..."
rg -A 3 "EntityType"
# Look specifically for metadata access patterns
echo "Searching for metadata access patterns..."
rg "_metadata\[.?[\"']type[\"'].?\]"
# Search for type-related method calls on EntityType instances
echo "Searching for type-related method calls..."
rg "\.type\s*[=\(\)]"
Length of output: 4509
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Summary by CodeRabbit
New Features
_metadatadictionary to various classes, enhancing metadata with type information.CarandPersonwith their own metadata.batch_searchmethod toWeaviateAdapterfor executing multiple searches.Bug Fixes
Documentation
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