Feat: Add AI suggestion controller with accept/dismiss flows (Phase 6) #212
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Add database schema, entities, and CRUD operations for the AI meeting recording and transcription integration: Database Migrations: - Add user_integrations table for encrypted API credentials - Add ai_privacy_level enum and meeting_url to coaching_relationships - Add meeting_recordings, transcriptions, transcript_segments tables - Add ai_suggested_items table for AI-detected actions/agreements Entity Definitions: - user_integrations (Google OAuth, Recall.ai, AssemblyAI credentials) - meeting_recordings (Recall.ai bot tracking) - transcriptions (AssemblyAI transcript data) - transcript_segments (speaker-diarized utterances) - ai_suggested_items (pending AI suggestions) - Enums: ai_privacy_level, meeting_recording_status, transcription_status, sentiment, ai_suggestion_type, ai_suggestion_status Entity API: - CRUD operations for user_integration, meeting_recording, transcription, and ai_suggested_item modules Other: - AES-256-GCM encryption utilities for API key storage - Config additions for external service credentials - Update coaching_relationships with meeting_url and ai_privacy_level Relates to: refactor-group/refactor-platform-fe#146
…se 3) Add gateway clients for Recall.ai, AssemblyAI, and Google OAuth with configurable base URLs. Create integration controller endpoints for API key verification and OAuth flow handling.
Add start/stop recording endpoints that integrate with Recall.ai bot for meeting capture. Add webhook handler for receiving recording status updates from Recall.ai.
- Add transcript_segment entity_api module with CRUD operations - Add AssemblyAI webhook handler for transcription callbacks - Create transcription controller with transcript/segments/summary endpoints - Update router with transcription routes - Export transcript_segment and transcription modules from domain
- Add ai_suggestion_controller with endpoints for suggestion management - Implement accept flow that creates Actions or Agreements from suggestions - Implement dismiss flow to mark suggestions as dismissed - Export ai_suggested_item module from domain - Add routes for GET /coaching_sessions/:id/ai-suggestions - Add routes for POST /ai-suggestions/:id/accept and /dismiss
- Add nested response structures for Recall.ai video URL extraction (recordings[0].media_shortcuts.video_mixed.data.download_url) - Add backend polling for Recall.ai bot status when frontend requests - Fix AssemblyAI webhook field name mismatch (id vs transcript_id) - Fetch full transcript from AssemblyAI API on webhook notification (webhooks are notifications only, don't include transcript data) - Add comprehensive debug logging for troubleshooting
- Add serde(rename_all = "snake_case") to AiPrivacyLevel enum - Add serde(default) to UpdateParams fields for optional deserialization - Add Default derive to UpdateParams struct
- Add action item extraction after transcription completes - Create AI suggestion records for each detected action item - Use keyword-based extraction (will, going to, need to, should, etc.) - Log extraction results for debugging
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Summary
ai_suggestion_controllerwith full CRUD operations for AI suggestionsai_suggested_itemmodule from domain for CRUD operationsNew Endpoints
GET /coaching_sessions/:id/ai-suggestions- Get pending AI suggestions for a sessionPOST /ai-suggestions/:id/accept- Accept a suggestion, creating an Action or AgreementPOST /ai-suggestions/:id/dismiss- Dismiss a suggestionAccept Flow
When a user accepts an AI suggestion:
Test plan
Part of #146 - Phase 6 of AI Meeting Integration (final backend phase)