Feat: Add export functionality#6
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Pull Request Review: Export FunctionalityThank you for this PR! The export functionality is well-structured and follows good Go practices. Below is my detailed review. ✅ Strengths
🐛 Potential Issues1. Context Cancellation in CSV Export (export.go:58-85)The CSV export doesn't check for context cancellation during iteration. For large datasets, this could prevent timely cancellation. Suggestion: // Write rows
for _, event := range events {
if err := ctx.Err(); err != nil {
return err
}
row := buildCSVRow(event, tagKeys, dataKeys)
if err := writer.Write(row); err != nil {
return err
}
}2. JSON Export Missing Context Check (export.go:50-54)Similarly, JSON export should check context before encoding, especially for large event arrays. Suggestion: func exportJSON(w io.Writer, events []*Event) error {
encoder := json.NewEncoder(w)
encoder.SetIndent("", " ")
return encoder.Encode(events)
}While encoding is typically fast, consider adding a check if 3. Timestamp Format Consistency (export.go:139)The timestamp format uses a custom layout. Consider using Current: event.Timestamp.Format("2006-01-02T15:04:05.000Z07:00")Suggestion: event.Timestamp.Format(time.RFC3339Nano)This ensures better interoperability with other tools and is more idiomatic. 4. Missing Context Parameter in Helper Functions (export.go:58-154)Helper functions like Suggestion: func exportJSON(ctx context.Context, w io.Writer, events []*Event) error
func exportCSV(ctx context.Context, w io.Writer, events []*Event) error🔒 Security Considerations
⚡ Performance Considerations
Current approach:
Optimized approach (if needed):
🧪 Test CoverageExcellent coverage! The tests include:
Missing test cases:
Suggested additional test: func TestExportContextCancellation(t *testing.T) {
// Insert many events
// Create a context with timeout or cancel it mid-export
// Verify export returns context.Canceled or context.DeadlineExceeded
}📋 Code Quality
🎯 RecommendationsHigh Priority
Medium Priority
Low Priority
SummaryThis is a solid implementation that integrates well with the existing codebase. The code is clean, well-tested, and follows Go best practices. The main suggestions are around context handling for robustness with large datasets. Recommendation: ✅ Approve with minor suggestions The issues mentioned are minor and could be addressed in this PR or as follow-up improvements. The functionality is production-ready as-is for typical use cases. |
export.gowithExportFormatenum