added description attribute to every schema model

cognee/tasks/schema/ingest_database_schema.py

@@ -1,4 +1,5 @@
 from typing import List, Dict
+from uuid import uuid5, NAMESPACE_OID
 from cognee.infrastructure.engine.models.DataPoint import DataPoint
 from cognee.infrastructure.databases.relational.get_migration_relational_engine import get_migration_relational_engine
 from sqlalchemy import text
@@ -11,7 +12,7 @@ async def ingest_database_schema(
     schema_name: str = "default",
     max_sample_rows: int = 5,
     node_set: List[str] = ["database_schema"]
-) -> Dict[str, List[DataPoint]|DataPoint]:
+) -> Dict[str, List[DataPoint] | DataPoint]:
     """
     Ingest database schema with sample data into dedicated nodeset
     
@@ -25,57 +26,69 @@ async def ingest_database_schema(
         List of created DataPoint objects
     """
     engine = create_relational_engine(
-        db_path=database_config.get("db_path", ""),
-        db_name=database_config.get("db_name", "cognee_db"),
-        db_host=database_config.get("db_host"),
-        db_port=database_config.get("db_port"),
-        db_username=database_config.get("db_username"),
-        db_password=database_config.get("db_password"),
-        db_provider=database_config.get("db_provider", "sqlite"),
+        db_path=database_config.get("migration_db_path", ""),
+        db_name=database_config.get("migration_db_name", "cognee_db"),
+        db_host=database_config.get("migration_db_host"),
+        db_port=database_config.get("migration_db_port"),
+        db_username=database_config.get("migration_db_username"),
+        db_password=database_config.get("migration_db_password"),
+        db_provider=database_config.get("migration_db_provider", "sqlite"),
     )
     schema = await engine.extract_schema()
-    tables={}
-    sample_data={}
+    tables = {}
+    sample_data = {}
     schema_tables = []
     schema_relationships = []
+
     async with engine.engine.begin() as cursor:
         for table_name, details in schema.items():
+            print(table_name)
             rows_result = await cursor.execute(text(f"SELECT * FROM {table_name} LIMIT {max_sample_rows}"))
             rows = [dict(zip([col["name"] for col in details["columns"]], row)) for row in rows_result.fetchall()]
             count_result = await cursor.execute(text(f"SELECT COUNT(*) FROM {table_name};"))
             row_count_estimate = count_result.scalar()
+
             schema_table = SchemaTable(
+                id=uuid5(NAMESPACE_OID, name=table_name),
                 table_name=table_name,
                 schema_name=schema_name,
                 columns=details["columns"],
                 primary_key=details.get("primary_key"),
                 foreign_keys=details.get("foreign_keys", []),
                 sample_rows=rows,
-                row_count_estimate=row_count_estimate
+                row_count_estimate=row_count_estimate,
+                description=f"Schema table for '{table_name}' with {len(details['columns'])} columns and approx. {row_count_estimate} rows."
             )
             schema_tables.append(schema_table)
             tables[table_name] = details
             sample_data[table_name] = rows
-            
-            for fk in details.get("foreign_keys",[]):
+
+            for fk in details.get("foreign_keys", []):
+                print(f"ref_table:{fk['ref_table']}")
+                print(f"table_name:{table_name}")
                 relationship = SchemaRelationship(
+                    id=uuid5(NAMESPACE_OID, name=f"{fk['column']}:{table_name}:{fk['ref_column']}:{fk['ref_table']}"),
                     source_table=table_name,
                     target_table=fk["ref_table"],
-                    relationship_type=fk["type"],
-                    source_column=fk["source_column"],
-                    target_column=fk["target_column"]
+                    relationship_type="foreign_key",
+                    source_column=fk["column"],
+                    target_column=fk["ref_column"],
+                    description=f"Foreign key relationship: {table_name}.{fk['column']} → {fk['ref_table']}.{fk['ref_column']}"
                 )
                 schema_relationships.append(relationship)
+
     database_schema = DatabaseSchema(
+        id=uuid5(NAMESPACE_OID, name=schema_name),
         schema_name=schema_name,
         database_type=database_config.get("db_provider", "sqlite"),
         tables=tables,
         sample_data=sample_data,
-        extraction_timestamp=datetime.utcnow()
+        extraction_timestamp=datetime.utcnow(),
+        description=f"Database schema '{schema_name}' containing {len(schema_tables)} tables and {len(schema_relationships)} relationships."
     )
-    
-    return{
+
+    return {
         "database_schema": database_schema,
         "schema_tables": schema_tables,
         "relationships": schema_relationships
-    }
+    }

cognee/tasks/schema/models.py

@@ -9,6 +9,7 @@ class DatabaseSchema(DataPoint):
     tables: Dict[str, Dict]  # Reuse existing schema format from SqlAlchemyAdapter
     sample_data: Dict[str, List[Dict]]  # Limited examples per table
     extraction_timestamp: datetime
+    description: str
     metadata: dict = {"index_fields": ["schema_name", "database_type"]}
 
 class SchemaTable(DataPoint):
@@ -20,13 +21,15 @@ class SchemaTable(DataPoint):
     foreign_keys: List[Dict]  # Foreign key relationships
     sample_rows: List[Dict]  # Max 3-5 example rows
     row_count_estimate: Optional[int]  # Actual table size
+    description: str
     metadata: dict = {"index_fields": ["table_name", "schema_name"]}
 
 class SchemaRelationship(DataPoint):
     """Represents relationships between tables"""
     source_table: str
     target_table: str
-    relationship_type: str  # "foreign_key", "one_to_many", etc.
+    relationship_type: str
     source_column: str
     target_column: str
+    description: str
     metadata: dict = {"index_fields": ["source_table", "target_table"]}