mcp-nextcloud

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Chris CoutinhoandClaude 02700a8e2c perf: Eliminate double-fetching in semantic search sampling

Performance optimization that removes redundant verification step and
makes content fetching parallel in nc_semantic_search_answer tool.

Changes:
- Remove verification.py module (only had 1 caller)
- Refactor nc_semantic_search to do inline deduplication instead of
  calling verify_search_results()
- Migrate verification patterns (anyio task group, semaphore limiting)
  to nc_semantic_search_answer's content fetching
- Change content fetching from sequential loop to parallel execution

Performance impact:
- Before: 10 API calls (5 parallel verification + 5 sequential content)
  = ~5.5s overhead
- After: 5 API calls (parallel content fetch) = ~0.5s overhead
- Result: 50% fewer API calls, ~10x faster for sampling operations

Technical details:
- Uses anyio.create_task_group() for structured concurrency
- Semaphore limiting (max_concurrent=20) prevents connection pool exhaustion
- Index-based storage maintains result ordering
- Expected failures (deleted notes) logged at debug level
- Deduplication handles hybrid search returning same doc from dense + sparse

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-11-16 10:25:04 +01:00

__init__.py

feat: implement ADR-009 - refactor semantic search to use generic semantic:read scope

2025-11-09 05:53:53 +01:00

calendar.py

feat: Complete Phase 5 - Instrument all 93 MCP tools

2025-11-13 16:58:44 +01:00

contacts.py

feat: Complete Phase 5 - Instrument all 93 MCP tools

2025-11-13 16:58:44 +01:00

cookbook.py

feat: Complete Phase 5 - Instrument all 93 MCP tools