fix: Add support for SQLite and PostgreSQL for inserting data in SQLA… #467
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WalkthroughThe changes focus on the Changes
Sequence DiagramsequenceDiagram
participant Caller
participant SQLAlchemyAdapter
participant SQLAlchemyCore
participant Database
Caller->>SQLAlchemyAdapter: insert_data(table_name, data)
SQLAlchemyAdapter->>SQLAlchemyCore: Prepare insert statement
alt Data is not empty
SQLAlchemyCore->>Database: Execute insert
Database-->>SQLAlchemyCore: Return row count
SQLAlchemyCore-->>SQLAlchemyAdapter: Return row count
else Data is empty
SQLAlchemyAdapter-->>Caller: Return 0
end
SQLAlchemyAdapter-->>Caller: Return number of inserted rows
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cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py(1 hunks)
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🔇 Additional comments (1)
cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py (1)
80-85:⚠️ Potential issuePotential breaking change due to altered method signature.
The
insert_datamethod's signature has been changed from:async def insert_data(self, schema_name: str, table_name: str, data: list[dict])to:
async def insert_data(self, table_name: str, data: list[dict], schema_name: Optional[str] = "public") -> intThis reorders parameters and adds a default value for
schema_name. If any existing calls to this method use positional arguments, this change can lead to unexpected behavior or runtime errors. It's important to ensure that all invocations of this method throughout the codebase have been updated to reflect this new signature.Please run the following script to identify any usages of
insert_datathat may need to be updated:This script searches for all calls to
insert_dataoutside the file where it's defined, helping to locate and review them for necessary updates.
| except Exception as e: | ||
| logger.error(f"Insert failed: {str(e)}") | ||
| raise e # Re-raise for error handling upstream |
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🛠️ Refactor suggestion
Consider handling specific exceptions and avoid re-raising generic exceptions.
Catching and re-raising the general Exception class might obscure the root cause and make debugging harder. It's better to catch specific exception types that you expect might occur (e.g., SQLAlchemyError) and handle them accordingly. Also, consider defining custom exceptions for your application to provide more context.
Here's how you might adjust the exception handling:
try:
# ... (code that might raise an exception)
-except Exception as e:
+except SQLAlchemyError as e:
logger.error(f"Insert failed: {str(e)}")
- raise e # Re-raise for error handling upstream
+ raise DatabaseInsertError(f"Failed to insert data into {table_name}") from eYou'll need to:
- Import
SQLAlchemyErrorfromsqlalchemy.exc. - Define a
DatabaseInsertErrorcustom exception in yourexceptionsmodule to provide more specific error handling upstream.
Committable suggestion skipped: line range outside the PR's diff.
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♻️ Duplicate comments (1)
cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py (1)
111-113:⚠️ Potential issueConsider handling specific exceptions and avoid re-raising generic exceptions.
Catching and re-raising the general
Exceptionclass might obscure the root cause and make debugging harder.As mentioned in the previous review, consider:
- Catching specific exceptions (e.g.,
SQLAlchemyError)- Using custom exceptions for better error context
- Preserving the original exception chain using
raise ... from+from sqlalchemy.exc import SQLAlchemyError +from cognee.infrastructure.databases.exceptions import DatabaseInsertError + try: # ... (code that might raise an exception) -except Exception as e: +except SQLAlchemyError as e: logger.error(f"Insert failed: {str(e)}") - raise e # Re-raise for error handling upstream + raise DatabaseInsertError(f"Failed to insert data into {table_name}") from e
🧹 Nitpick comments (2)
cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py (2)
80-89: Enhance the docstring with more details.While the docstring provides basic information, it could be more comprehensive by including:
- Parameter descriptions
- Return value details
- Example usage
Consider expanding the docstring like this:
- """ - Insert data into specified table using SQLAlchemy Core with batch optimization - Returns number of inserted rows - """ + """ + Insert data into specified table using SQLAlchemy Core with batch optimization. + + Args: + table_name (str): Name of the table to insert data into + data (list[dict]): List of dictionaries containing the data to insert + schema_name (Optional[str], optional): Database schema name. Defaults to "public". + Ignored for SQLite. + + Returns: + int: Number of rows successfully inserted + + Example: + data = [{"column1": "value1"}, {"column1": "value2"}] + rows_inserted = await insert_data("my_table", data) + """
98-101: Consider setting SQLite foreign key pragma at connection level.While enabling foreign keys for SQLite is crucial, setting the pragma for each operation is redundant and could be moved to the connection setup.
Consider moving this to the engine creation in
__init__:def __init__(self, connection_string: str): self.db_path: str = None self.db_uri: str = connection_string - self.engine = create_async_engine(connection_string) + connect_args = {} + if connection_string.startswith('sqlite'): + connect_args['pragma_foreign_keys'] = 'ON' + + self.engine = create_async_engine( + connection_string, + connect_args=connect_args + )
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cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py(1 hunks)
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🔇 Additional comments (1)
cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py (1)
90-92: LGTM! Good use of early return pattern.The empty data check with appropriate logging is a good practice.
…lchemyAdapter
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Summary by CodeRabbit
New Features
Bug Fixes
Refactor