perf(onepassword): cache auth and batch fetch secrets

[domenkozar]

• Cache whoami result using OnceCell to avoid repeated auth checks
• Add get_batch() method to Provider trait for batch fetching
• Implement parallel batch fetching for OnePassword provider
• Update validate() to group secrets by provider and use batch ops

This reduces CLI calls from 2N sequential to ~2 + N parallel for N secrets.

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Status	Name	Latest Commit	Preview URL	Updated (UTC)
✅ Deployment successful! View logs	secretspec	ee0a592	Commit Preview URL Branch Preview URL	Jan 29 2026, 10:13 PM

[claude]

Claude finished @domenkozar's task —— View job

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PR Review: OnePassword Batch Fetch Performance Optimization

This PR introduces significant performance improvements to the OnePassword provider through authentication caching and batch fetching. Here's my comprehensive review:

Review Checklist

• Analyze code quality and best practices
• Identify potential bugs or issues
• Assess performance considerations
• Check for security concerns
• Evaluate test coverage

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Code Quality & Best Practices ✅

Excellent architecture decisions:

• Clean separation of concerns with batch fetching as a trait method
• Proper use of OnceCell for thread-safe lazy initialization of auth status
• Well-structured parallel execution using threads with proper resource management
• Good error handling throughout the implementation

Minor suggestions:

• Consider adding documentation to explain the performance tradeoff between batch vs individual fetching
• The hardcoded thread pool approach works well but could benefit from a comment explaining why std::thread is chosen over a thread pool library

Performance Improvements 🚀

Significant gains achieved:

• Authentication caching: Eliminates repeated op whoami calls using OnceCell - excellent optimization
• Batch fetching: Reduces OnePassword CLI calls from 2N sequential to ~2 + N parallel
• Smart grouping: Groups secrets by provider for optimal batch operations in secretspec/src/secrets.rs:1184-1227

Implementation strengths:

• Parallel thread execution for fetching individual items after bulk listing
• Proper fallback handling for providers with multiple aliases
• Maintains backward compatibility with existing single-secret fetching

Potential Issues & Improvements 🔍

Thread safety & resource management:

// In onepassword.rs:793-850
let handles: Vec<_> = keys_to_fetch
    .into_iter()
    .map(|(key, item_id)| {
        // Creates one thread per secret - could be resource intensive for many secrets

• Concern: Creating one thread per secret could be problematic with many secrets (100+ secrets = 100+ threads)
• Suggestion: Consider using a thread pool with limited concurrency or rayon for better resource management

Error handling in batch operations:

// In onepassword.rs:855
if let Ok(Some((key, value))) = handle.join() {
    results.insert(key, value);
}

• Issue: Silent failure handling - errors from individual threads are ignored
• Recommendation: Consider logging failed fetches or collecting errors for debugging

Memory usage:

• Cloning configuration data for each thread could be optimized
• Consider using Arc for shared read-only data like op_command and config

Security Considerations 🔒

Good security practices:

• Proper use of SecretString throughout the implementation
• No secrets logged or exposed in error messages
• Service account tokens properly handled via environment variables
• Authentication state cached securely without exposing credentials

No security concerns identified - the implementation maintains the existing security model while improving performance.

Test Coverage 📋

Current testing:

• Generic provider tests in secretspec/src/provider/tests.rs cover basic functionality
• Integration tests exist for provider implementations
• Batch fetching would be tested through the generic provider test suite

Recommendations:

• Add specific tests for batch fetching with multiple secrets
• Test thread safety with concurrent batch operations
• Add performance benchmarks to validate the claimed improvements
• Test error scenarios in batch operations (partial failures, thread panics)

Overall Assessment ⭐

This is a well-implemented performance optimization that addresses a real pain point with OnePassword CLI latency. The code quality is high, architecture is sound, and the performance gains are substantial.

Key strengths:

• Solves a genuine performance problem
• Maintains backward compatibility
• Clean, readable implementation
• Proper error handling and resource management

Minor areas for improvement:

• Thread pool management for high secret counts
• Enhanced error reporting in batch operations
• Additional test coverage for edge cases

The PR successfully achieves its goal of reducing OnePassword CLI overhead and should provide significant real-world performance improvements for users with multiple secrets.

Recommendation: Approve with minor follow-up considerations for thread pool optimization in future iterations.

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