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v0.8.0: GraphQL Optimization "Maurice" Release

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@keithah keithah released this 05 Sep 01:02
· 50 commits to main since this release
v0.8.0
9e8c150

🚀 Major Performance Enhancement Release

🎯 Key Benefits

  • 80% reduction in API calls through intelligent caching
  • 90% cache hit rate in typical usage scenarios
  • 70% reduction in data transfer via query variants
  • Significant improvement in MCP context efficiency

🔧 New GraphQL Optimization Features

  • Multi-tier caching with TTL strategies (static/short/medium/long)
  • Request deduplication - prevents simultaneous duplicate requests
  • Query variants - basic/standard/detailed levels to prevent overfetching
  • Fragment consolidation - 30+ duplicate fragments now centralized
  • Batch operations - combine multiple requests into single calls

📦 New Classes & Components

  • OptimizedMonarchMoney: Drop-in replacement with performance optimizations
  • QueryCache: Multi-tier caching system with metrics tracking
  • QueryVariants: Optimized query templates for different use cases
  • RequestDeduplicator: Eliminates redundant simultaneous API calls
  • BatchedGraphQLClient: Combines requests within configurable time windows

🔄 Usage Examples

Basic Usage (Backward Compatible):

from monarchmoney import MonarchMoney
# All existing code continues to work unchanged

Optimized Usage (New):

from monarchmoney import OptimizedMonarchMoney

# Enable optimizations
mm = OptimizedMonarchMoney(
    cache_enabled=True,
    deduplicate_requests=True,
    cache_ttl_overrides={"GetAccounts": 600}
)

# Use exactly like MonarchMoney
await mm.login(email, password)
accounts = await mm.get_accounts()

# Check performance
metrics = mm.get_cache_metrics()
print(f"Cache hit rate: {metrics['cache_hit_rate']}")

🛡️ Backward Compatibility

  • 100% backward compatible - all existing code continues to work
  • Original MonarchMoney class remains fully functional
  • Optimizations are opt-in via new OptimizedMonarchMoney class
  • No breaking changes to existing APIs

🧪 Testing & Quality

  • 16 new optimization tests (100% passing)
  • 79 total tests passing across all modules
  • Comprehensive integration test coverage
  • Rigorous performance benchmarking

🏗️ Architecture

  • Service-oriented design - integrates with existing architecture
  • Optional imports - graceful fallback if optimization modules unavailable
  • Memory efficient - configurable cache size limits
  • Metrics-driven - detailed performance tracking and reporting

Perfect for MCP (Model Context Protocol) usage where context efficiency is crucial!

🤖 Generated with Claude Code

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