Cache calls to SecurityTypeByISIN #18
Reference in New Issue
Block a user
Delete Branch "cache-figi-responses"
Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?
This avoids unecessary repeated calls to OpenFIGI api
@claude review this PR
Claude finished @natercio's task —— View job
PR Review: Cache calls to SecurityTypeByISIN
Todo List:
Review Summary
This PR implements a simple in-memory cache for OpenFIGI API calls to avoid repeated requests for the same ISIN. The implementation is generally solid but has a few areas for improvement.
✅ Positive Aspects
sync.RWMutexwith separate read/write locks⚠️ Issues and Recommendations
Critical: Memory Leak Risk
Location:
internal/open_figi.go:30,95-96The cache grows indefinitely without any eviction policy. In a long-running application, this could lead to memory exhaustion.
Recommendations:
golang-lruorgo-cacheMinor: Lock Optimization
Location:
internal/open_figi.go:35-40The current pattern of unlock/relock could be optimized:
Suggestion: This is actually fine as-is. The unlock before return in the cache hit case is correct.
Minor: Error Handling
Location:
internal/open_figi.go:95-96Consider what happens if the API returns a successful response but with invalid/empty security type. The cache will store empty values.
Suggestion: Add validation before caching:
Minor: Test Enhancement
Location:
internal/open_figi_test.go:121-155The cache test only verifies that API isn't called twice but doesn't test concurrent access patterns.
Suggestion: Add a test for concurrent cache access to ensure thread safety.
📋 Code Quality
🧪 Test Quality
The new cache test
TestOpenFIGI_SecurityTypeByISIN_Cacheeffectively verifies:Verdict: APPROVE with suggestions
The implementation successfully achieves the goal of caching OpenFIGI calls. While there are some minor improvements that could be made (particularly around memory management), the current implementation is safe and functional for typical usage patterns.
Priority: Address the memory leak risk if this service processes large volumes of unique ISINs.