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@alekszievr alekszievr commented Jan 29, 2025

Dummy implementation of graph metrics to demonstrate how the interface will look like

Description

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I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin

Summary by CodeRabbit

  • New Features

    • Introduced asynchronous functionality for retrieving comprehensive graph metrics, including counts and connectivity details, across different systems.
  • Refactor

    • Streamlined metrics processing and storage by shifting to direct retrieval from the graph engine.
    • Updated naming conventions for the GraphMetrics database table and reorganized module imports to enhance internal consistency.
  • Chores

    • Removed dataset deletion functionalities while introducing the ability to store descriptive metrics.

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Walkthrough

The changes introduce a new asynchronous method get_graph_metrics in multiple database adapter classes and the corresponding abstract interface. Additionally, the GraphMetrics model’s table name has been modified and its export updated. The import for store_descriptive_metrics has been shifted to a different module, and its implementation has been refactored to obtain metrics directly by calling graph_engine.get_graph_metrics() and persisting the results as a new GraphMetrics object in the database.

Changes

File(s) Change Summary
cognee/infrastructure/databases/graph/graph_db_interface.py Added new async abstract method get_graph_metrics that raises a NotImplementedError.
cognee/infrastructure/databases/graph/neo4j_driver/adapter.py,
cognee/infrastructure/databases/graph/networkx/adapter.py
Introduced an async method get_graph_metrics returning a dictionary of graph metrics with placeholder values (-1).
cognee/modules/data/models/GraphMetrics.py,
cognee/modules/data/models/__init__.py
Updated __tablename__ of GraphMetrics from "graph_metrics_table" to "graph_metrics"; added an import for GraphMetrics in the package.
cognee/api/v1/cognify/cognify_v2.py Modified the import for store_descriptive_metrics from the storage module to the data methods module.
cognee/modules/data/methods/store_descriptive_metrics.py Removed the calculate_graph_metrics function and refactored store_descriptive_metrics to call await graph_engine.get_graph_metrics(), create a GraphMetrics object, and commit it to the database.
cognee/modules/data/methods/__init__.py Removed imports for delete_dataset and delete_data; added import for store_descriptive_metrics.

Sequence Diagram(s)

sequenceDiagram
    participant S as store_descriptive_metrics
    participant GE as Graph Engine
    participant DB as Database
    S->>GE: await get_graph_metrics()
    GE-->>S: Return metrics dictionary (values: -1)
    S->>DB: Create & commit GraphMetrics object
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Suggested reviewers

  • borisarzentar

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@alekszievr alekszievr self-assigned this Jan 29, 2025
@alekszievr alekszievr changed the title Graph metrics getter template in graph db interface and adapters Graph metrics getter template in graph db interface and adapters [COG-1082] Jan 29, 2025
@alekszievr alekszievr requested a review from lxobr January 29, 2025 20:05
Base automatically changed from feat/cog-1132-add-num-tokens-to-metric-table to dev January 30, 2025 11:39
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Actionable comments posted: 3

🧹 Nitpick comments (1)
cognee/infrastructure/databases/graph/graph_db_interface.py (1)

57-60: Add return type hint for better type safety.

The new abstract method should specify its return type for better type safety and documentation.

     @abstractmethod
-    async def get_graph_metrics(self):
+    async def get_graph_metrics(self) -> dict[str, float]:
         raise NotImplementedError
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📒 Files selected for processing (4)
  • cognee/infrastructure/databases/graph/graph_db_interface.py (1 hunks)
  • cognee/infrastructure/databases/graph/neo4j_driver/adapter.py (1 hunks)
  • cognee/infrastructure/databases/graph/networkx/adapter.py (1 hunks)
  • cognee/tasks/storage/descriptive_metrics.py (1 hunks)
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@borisarzentar borisarzentar changed the title Graph metrics getter template in graph db interface and adapters [COG-1082] feat: Add graph metrics getter in graph db interface and adapters [COG-1082] Jan 31, 2025
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Actionable comments posted: 2

🧹 Nitpick comments (1)
cognee/modules/data/methods/store_descriptive_metrics.py (1)

28-52: Consider adding metrics validation and logging.

The function would benefit from additional validation and logging to track metrics over time.

Consider:

  1. Adding range validation for metrics (e.g., non-negative values)
  2. Adding logging to track metrics changes
  3. Adding comparison with previous metrics for monitoring trends
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  • cognee/modules/data/methods/store_descriptive_metrics.py (2 hunks)
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🔇 Additional comments (1)
cognee/modules/data/methods/store_descriptive_metrics.py (1)

10-10: LGTM!

The import statement change looks appropriate for the module organization.

@alekszievr alekszievr force-pushed the feat/cog-1082-metrics-in-graphdb-interface branch from 735c2a8 to 05138fa Compare February 3, 2025 10:39
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Actionable comments posted: 1

🧹 Nitpick comments (2)
cognee/modules/data/methods/store_descriptive_metrics.py (2)

33-50: Consider using a transaction context manager.

The database operations should be wrapped in a transaction to ensure atomicity. If any operation fails, all changes should be rolled back.

Apply this diff to add transaction handling:

-    async with db_engine.get_async_session() as session:
+    async with db_engine.get_async_session() as session:
+        async with session.begin():
             metrics = GraphMetrics(
                 # ... existing metrics initialization ...
             )
             session.add(metrics)
-            await session.commit()

28-52: Implementation provides a good foundation for graph metrics collection.

The implementation successfully demonstrates the interface by collecting standard graph metrics (nodes, edges, clustering, etc.). This provides a solid foundation for future enhancements.

Consider these future enhancements:

  1. Add caching for expensive metrics calculations
  2. Implement batch processing for large graphs
  3. Add metric calculation timeouts
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🔇 Additional comments (2)
cognee/modules/data/methods/store_descriptive_metrics.py (2)

31-31: Add error handling for graph metrics retrieval.

The direct call to get_graph_metrics() should be wrapped in a try-catch block to handle potential errors gracefully.


34-47: Add validation and type hints for graph metrics.

The code assumes all required metrics exist in the dictionary without validation. Also, type hints would improve code clarity.

@alekszievr alekszievr force-pushed the feat/cog-1082-metrics-in-graphdb-interface branch from 05138fa to 268d778 Compare February 3, 2025 13:15
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Actionable comments posted: 0

🧹 Nitpick comments (2)
cognee/modules/data/methods/store_descriptive_metrics.py (2)

11-23: Add error handling for token count retrieval.

The function should handle edge cases where the token count might be null or when database errors occur.

Apply this diff to improve error handling:

 async def fetch_token_count(db_engine) -> int:
     """
     Fetches and sums token counts from the database.
 
     Returns:
         int: The total number of tokens across all documents.
+
+    Raises:
+        RuntimeError: If token count retrieval fails
     """
 
     async with db_engine.get_async_session() as session:
-        token_count_sum = await session.execute(select(func.sum(Data.token_count)))
-        token_count_sum = token_count_sum.scalar()
+        try:
+            token_count_sum = await session.execute(select(func.sum(Data.token_count)))
+            token_count_sum = token_count_sum.scalar() or 0  # Handle NULL case
+        except Exception as e:
+            raise RuntimeError(f"Failed to retrieve token count: {str(e)}") from e
 
     return token_count_sum

26-26: Add docstring to explain function purpose and parameters.

The function lacks documentation explaining its purpose, parameters, and return value.

Apply this diff to add documentation:

 async def store_descriptive_metrics(data_points: list[DataPoint]):
+    """
+    Store descriptive metrics about the graph structure and token usage.
+    
+    This function retrieves graph metrics from the graph engine and token count
+    from the relational database, then stores them as a new GraphMetrics entry.
+    
+    Args:
+        data_points: List of DataPoint objects being processed
+        
+    Returns:
+        list[DataPoint]: The input data_points list unchanged
+        
+    Note:
+        This function is part of the metrics collection pipeline and stores
+        various graph metrics like node count, edge density, clustering, etc.
+    """
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🔇 Additional comments (1)
cognee/modules/data/methods/store_descriptive_metrics.py (1)

29-29: Add error handling for graph metrics retrieval.

The direct call to get_graph_metrics() should be wrapped in a try-catch block to handle potential errors gracefully.

@alekszievr alekszievr merged commit 5119992 into dev Feb 3, 2025
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@alekszievr alekszievr deleted the feat/cog-1082-metrics-in-graphdb-interface branch February 3, 2025 14:25
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