3 Commits

Author	SHA1	Message	Date
Jason Woltje	17cfeb974b	fix(SEC-API-19+20): Validate brain search length and limit params ... - Add @MaxLength(500) to BrainQueryDto.query and BrainQueryDto.search fields - Create BrainSearchDto with validated q (max 500 chars) and limit (1-100) fields - Update BrainController.search to use BrainSearchDto instead of raw query params - Add defensive validation in BrainService.search and BrainService.query methods: - Reject search terms exceeding 500 characters with BadRequestException - Clamp limit to valid range [1, 100] for defense-in-depth - Add comprehensive tests for DTO validation and service-level guards - Update existing controller tests for new search method signature Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-06 13:29:03 -06:00
Jason Woltje	d7f04d1148	feat(#27): implement intent classification service ... Implement intent classification for natural language queries in the brain module. Features: - Hybrid classification approach: rule-based (fast, <100ms) with optional LLM fallback - 10 intent types: query_tasks, query_events, query_projects, create_task, create_event, update_task, update_event, briefing, search, unknown - Entity extraction: dates, times, priorities, statuses, people - Pattern-based matching with priority system (higher priority = checked first) - Optional LLM classification for ambiguous queries - POST /api/brain/classify endpoint Implementation: - IntentClassificationService with classify(), classifyWithRules(), classifyWithLlm(), extractEntities() - Comprehensive regex patterns for common query types - Entity extraction for dates, times, priorities, statuses, mentions - Type-safe interfaces for IntentType, IntentClassification, ExtractedEntity, IntentPattern - ClassifyIntentDto and IntentClassificationResultDto for API validation - Integrated with existing LlmService (optional dependency) Testing: - 60 comprehensive tests covering all intent types - Edge cases: empty queries, special characters, case sensitivity, multiple whitespace - Entity extraction tests with position tracking - LLM fallback tests with error handling - 100% test coverage - All tests passing (60/60) - TDD approach: tests written first Quality: - No explicit any types - Explicit return types on all functions - No TypeScript errors - Build successful - Follows existing code patterns - Quality Rails compliance: All lint checks pass Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2026-01-31 15:41:10 -06:00
Jason Woltje	1bd21b33d7	feat(#22): implement brain query API ... - Create brain module with service, controller, and DTOs - POST /api/brain/query - Structured queries for tasks, events, projects - GET /api/brain/context - Get current workspace context for agents - GET /api/brain/search - Search across all entities - Support filters: status, priority, date ranges, assignee, etc. - 41 tests covering service (27) and controller (14) - Integrated with AuthGuard, WorkspaceGuard, PermissionGuard	2026-01-29 19:40:30 -06:00