Lower amount of DB connections #547
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (2)
prediction_market_agent_tooling/config.py (1)
56-57: Document the caching behavior change.The change in default caching behavior should be documented for users of this library. Consider:
- Adding a note to the changelog
- Updating relevant documentation about caching configuration
- Adding migration instructions for users who might need to explicitly enable caching
prediction_market_agent_tooling/tools/caches/db_cache.py (1)
43-44: Consider thread-safety implications of global engine.The global
DB_CACHE_ENGINEintroduces shared mutable state which could lead to race conditions in concurrent environments. While SQLAlchemy engines are thread-safe for connection pooling, the initialization check-then-set pattern could still race.Consider:
- Adding documentation explaining the purpose and thread-safety guarantees
- Using a thread-safe initialization pattern like:
from threading import Lock _engine_lock = Lock() DB_CACHE_ENGINE: None | Engine = None def get_engine() -> Engine: global DB_CACHE_ENGINE if DB_CACHE_ENGINE is None: with _engine_lock: if DB_CACHE_ENGINE is None: DB_CACHE_ENGINE = create_engine(...) return DB_CACHE_ENGINE
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⛔ Files ignored due to path filters (1)
pyproject.tomlis excluded by!**/*.toml
📒 Files selected for processing (2)
prediction_market_agent_tooling/config.py(1 hunks)prediction_market_agent_tooling/tools/caches/db_cache.py(6 hunks)
🔇 Additional comments (2)
prediction_market_agent_tooling/config.py (1)
56-56: Verify the impact of disabling cache by default.
Changing ENABLE_CACHE default from True to False could impact performance in code paths that expect caching to be enabled. Please ensure this change is intentional and aligns with the introduction of the shared engine instance.
Let's verify the usage of this configuration:
Consider adding a comment explaining why caching is disabled by default, especially in relation to the shared engine instance changes. This helps future maintainers understand the design decision:
- ENABLE_CACHE: bool = False
+ # Disabled by default as we're using a single shared database engine instance
+ # See db_cache.py for the caching implementation
+ ENABLE_CACHE: bool = False✅ Verification successful
Based on the shell script results, I can now generate the final response:
Disabling cache by default is safe and aligned with test expectations
The codebase already handles both cached and non-cached scenarios properly:
- The
db_cachedecorator explicitly checksapi_keys.ENABLE_CACHEand falls back to non-cached execution - Tests explicitly verify the behavior with cache disabled (see
test_db_cache.py) - The caching system is properly abstracted, making it easy to enable/disable without breaking functionality
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Find code that relies on ENABLE_CACHE configuration
# Expected results: Identify potential impact points where caching is assumed
# Search for direct references to ENABLE_CACHE
echo "Direct references to ENABLE_CACHE:"
rg "ENABLE_CACHE" -B 2 -A 2
# Search for cache-related function calls that might be affected
echo "\nCache-related function calls:"
rg "\.cache|cache\." -B 2 -A 2
Length of output: 9715
prediction_market_agent_tooling/tools/caches/db_cache.py (1)
Line range hint 43-211: Verify caching usage and performance impact.
The switch to a single shared engine instance could impact application performance and resource usage.
Let's analyze the caching usage:
✅ Verification successful
Let me gather more information about the caching implementation and its usage patterns.
Based on the comprehensive analysis of the codebase, I can now provide a final response:
Global DB engine instance is safe and follows best practices
The shared DB_CACHE_ENGINE implementation is correct and safe because:
- Each decorated function creates independent database sessions using
with Session(DB_CACHE_ENGINE), ensuring thread-safety - The codebase shows no concurrent access patterns that could cause issues with the shared engine
- The implementation is similar to other caching patterns in the codebase (e.g.,
RelevantNewsResponseCache) - Test coverage demonstrates proper functionality across various scenarios including:
- Multiple data types and Pydantic models
- Cache invalidation
- Concurrent access patterns
- Error handling
The switch to a single shared engine instance is an improvement over creating multiple engines, as it:
- Reduces resource overhead
- Follows SQLAlchemy's connection pooling best practices
- Maintains thread-safety through proper session management
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Analyze cache usage patterns and potential impact
# Check for cache decorator usage
echo "Checking cache decorator usage patterns..."
rg -l "@db_cache"
# Look for direct engine/session creation that might need consolidation
echo "Checking for other database engine instances..."
rg "create_engine|Session\(" --type py
# Check for potential concurrent access patterns
echo "Checking for concurrent execution patterns..."
rg -l "ThreadPoolExecutor|ProcessPoolExecutor|asyncio|concurrent" --type py
Length of output: 1731
Script:
#!/bin/bash
# Check the implementation details of files using db_cache
# Check test file for usage patterns
echo "=== Test file implementation ==="
cat tests/tools/test_db_cache.py
# Check actual usage in application code
echo -e "\n=== Google implementation ==="
cat prediction_market_agent_tooling/tools/google.py
echo -e "\n=== Tavily implementation ==="
cat prediction_market_agent_tooling/tools/tavily/tavily_search.py
# Check relevant_news_cache implementation for comparison
echo -e "\n=== Relevant news cache implementation ==="
cat prediction_market_agent_tooling/tools/relevant_news_analysis/relevant_news_cache.py
Length of output: 20191
| @@ -53,7 +53,7 @@ class APIKeys(BaseSettings): | |||
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| SQLALCHEMY_DB_URL: t.Optional[SecretStr] = None | |||
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| ENABLE_CACHE: bool = True | |||
| ENABLE_CACHE: bool = False | |||
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By default set to False, to not error out cached functions if postgres access isn't set.
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
prediction_market_agent_tooling/tools/relevant_news_analysis/relevant_news_cache.py (1)
28-33: LGTM! Consider additional connection pool configurations.The addition of
pool_size=1aligns with the PR objective to reduce DB connections. However, consider adding these configurations for better connection management:self.engine = create_engine( ( sqlalchemy_db_url if sqlalchemy_db_url else APIKeys().sqlalchemy_db_url.get_secret_value() ), - pool_size=1, + pool_size=1, + pool_timeout=30, # Timeout waiting for connections from pool + pool_recycle=3600, # Recycle connections after 1 hour + pool_pre_ping=True, # Verify connection validity before checkout ) + # Add engine cleanup + import atexit + atexit.register(self.engine.dispose)This ensures:
- Connections don't hang indefinitely waiting for the pool
- Stale connections are recycled
- Dead connections are detected before use
- Engine resources are properly cleaned up on application exit
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📒 Files selected for processing (2)
prediction_market_agent_tooling/tools/caches/db_cache.py(3 hunks)prediction_market_agent_tooling/tools/relevant_news_analysis/relevant_news_cache.py(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- prediction_market_agent_tooling/tools/caches/db_cache.py
#552) * Lower amount of DB connections (#547) * Single shared engine instance * fixes * revert accidental bump * fix pickle in github ci * fiiiix * fix loguru * revert * ah * ah2 * revert * Added gnosis_rpc_config, google_credentials_filename and chain_id to BaseSettings * Fixed black * Fixed black (2) | changed rpc * Raise OutOfFunds in withdraw_wxdai_to_xdai_to_keep_balance (#553) * Implemented PR comments * Fixed CI * Merged --------- Co-authored-by: Peter Jung <[email protected]>
* Added block_time fetching for more accurate outcome tokens received. * Financial metrics being published * Reverted caching to diskcache * Fixing CI * lock file * Updated network foundry * Updated RPC to gateway * Moved local_chain test to proper folder * Fixed black * Applied PR comments * Small fixes after PR review * Small refactoring to address PR comments * Added gnosis_rpc_config, google_credentials_filename and chain_id to … (#552) * Lower amount of DB connections (#547) * Single shared engine instance * fixes * revert accidental bump * fix pickle in github ci * fiiiix * fix loguru * revert * ah * ah2 * revert * Added gnosis_rpc_config, google_credentials_filename and chain_id to BaseSettings * Fixed black * Fixed black (2) | changed rpc * Raise OutOfFunds in withdraw_wxdai_to_xdai_to_keep_balance (#553) * Implemented PR comments * Fixed CI * Merged --------- Co-authored-by: Peter Jung <[email protected]> --------- Co-authored-by: Peter Jung <[email protected]>
deploy please