prediction_market_agent_tooling/tools/db/db_manager.py (1)

Add error handling and consider database connection reliability

The codebase shows that error handling is consistently used in other database-related operations, but is missing in the table creation logic. Additionally, the current implementation relies on an in-memory cache that could lead to reliability issues.

Consider this safer implementation:

def create_tables(self, sqlmodel_tables: Sequence[type[SQLModel]] | None = None) -> None:
    try:
        with self.get_connection() as connection:
            if sqlmodel_tables is not None:
                tables_to_create = []
                for sqlmodel_table in sqlmodel_tables:
                    table_name = (
                        sqlmodel_table.__tablename__()
                        if callable(sqlmodel_table.__tablename__)
                        else sqlmodel_table.__tablename__
                    )
                    # Check if table exists directly in database
                    inspector = connection.dialect.inspector
                    if not inspector.has_table(table_name):
                        tables_to_create.append(
                            SQLModel.metadata.tables[table_name]
                        )
            else:
                tables_to_create = None

            SQLModel.metadata.create_all(connection, tables=tables_to_create)
            connection.commit()
    except Exception as e:
        raise RuntimeError(f"Failed to create database tables: {str(e)}") from e

Key improvements:

• Added proper error handling for database operations
• Removed unreliable in-memory cache in favor of direct table existence checks
• Simplified the code flow and reduced potential race conditions
• Uses database inspector for reliable table existence checks

🔗 Analysis chain

Line range hint 55-77: Add error handling and address potential race conditions

The current implementation has several potential issues:

1. No error handling for table creation failures
2. Cache persistence isn't guaranteed across process restarts
3. Possible race conditions in concurrent scenarios
4. Cache might mask actual database connectivity issues

Let's verify if there are any error handling patterns in the codebase:

Consider this safer implementation:

     def create_tables(
         self, sqlmodel_tables: Sequence[type[SQLModel]] | None = None
     ) -> None:
+        try:
             # Determine tables to create
             if sqlmodel_tables is not None:
                 tables_to_create = []
                 for sqlmodel_table in sqlmodel_tables:
                     table_name = (
                         sqlmodel_table.__tablename__()
                         if callable(sqlmodel_table.__tablename__)
                         else sqlmodel_table.__tablename__
                     )
                     table = SQLModel.metadata.tables[table_name]
-                    if not self.cache_table_initialized.get(table.name):
+                    # Verify table existence directly with database
+                    with self.get_connection() as connection:
+                        if not connection.dialect.has_table(connection, table_name):
                             tables_to_create.append(table)
             else:
                 tables_to_create = None

             # Create tables in the database
             with self.get_connection() as connection:
                 SQLModel.metadata.create_all(connection, tables=tables_to_create)
                 connection.commit()

-            # Update cache to mark tables as initialized
-            if tables_to_create:
-                for table in tables_to_create:
-                    self.cache_table_initialized[table.name] = True
+        except Exception as e:
+            raise RuntimeError(f"Failed to create tables: {str(e)}") from e

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for error handling patterns in database operations
rg -A 3 "try:|except:|finally:" prediction_market_agent_tooling/tools/db/

Length of output: 75

---

Script:

#!/bin/bash
# Let's first check if the directory exists and list its contents
ls -R prediction_market_agent_tooling/tools/db/

# Then search for any database-related error handling in the entire codebase
rg -A 3 "try:|except:|finally:" --type python

# Let's also check for any database connection patterns
rg -A 3 "get_connection|create_tables" --type python

Length of output: 271

---

Script:

#!/bin/bash
# Search for error handling patterns without file type restriction
rg -A 3 "try:|except:|finally:" prediction_market_agent_tooling/

# Check for database connection and table creation patterns
rg -A 3 "get_connection|create_tables" prediction_market_agent_tooling/

# Look for any SQLModel usage patterns
rg -A 3 "SQLModel" prediction_market_agent_tooling/

Length of output: 13502

Configuration used: CodeRabbit UI
Review profile: CHILL