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gnosis / prediction-market-agent-tooling

Tools to benchmark, deploy and monitor prediction market agents.
GNU Lesser General Public License v3.0
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Initialize db_cache engine in wrapper #546

Closed kongzii closed 2 weeks ago

coderabbitai[bot] commented 2 weeks ago

Walkthrough

The changes primarily focus on the db_cache function within the FunctionCache class in db_cache.py. Key modifications include restructuring the caching logic, enhancing the handling of database connections, and refining cache hit/miss processing. The database URL is now consistently sourced from the APIKeys instance. A new wrapper function manages caching behavior, and logging improvements have been made for cache operations. Additionally, the function signature has been updated, although the parameters remain unchanged.

Changes

File Path Change Summary
prediction_market_agent_tooling/tools/caches/db_cache.py Restructured caching logic, replaced sqlalchemy_db_url with api_keys.sqlalchemy_db_url, added a wrapper function for caching behavior, simplified SQLAlchemy engine creation, refined cache miss handling, improved logging, and updated function signature without parameter changes.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant Cache
    participant Database
    participant APIKeys

    Client->>APIKeys: Request sqlalchemy_db_url
    APIKeys-->>Client: Return sqlalchemy_db_url
    Client->>Cache: Call db_cache function
    Cache->>Cache: Check if caching is enabled
    alt Caching enabled
        Cache->>Cache: Check cache for result
        alt Cache hit
            Cache-->>Client: Return cached result
        else Cache miss
            Cache->>Database: Query for result
            Database-->>Cache: Return result
            Cache->>Cache: Store result in cache
            Cache-->>Client: Return result
        end
    else Caching disabled
        Cache->>Database: Query for result
        Database-->>Client: Return result
    end

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