Adds lesson_plans_router.py with 10 endpoints under /lessons/plans:
GET/POST /plans, GET/PATCH/DELETE /plans/{id}, POST /plans/{id}/deliver,
GET /plans/{id}/deliveries, POST/DELETE /plans/{id}/collaborators,
POST /plans/{id}/suggest (Ollama-backed per-field AI suggestions).
objectives and activities stored as JSONB arrays with Bloom taxonomy support.
Registers router in run/routers.py. Adds seed_test_environment.py for
platform-admin triggered reset + seed of demo users and Neo4j.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- gais_data.py: rewrite to load Edubase CSV into Supabase gais_schools +
gais_local_authorities via two-pass batch upsert (LAs first for FK integrity)
- school_router.py: add GET /school/search (trigram ilike on name, URN exact),
POST /school/register (create institute + Neo4j provision + membership link)
- Encoding: handles Windows-1252 (cp1252) Edubase CSV format
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
get_global_driver() now sets _driver_unavailable=True when the initial
connection fails, so subsequent calls fail immediately instead of
spending 60s retrying each time. Added reset_global_driver() to allow
manual reconnection after Neo4j comes back up.
Also fixes APP_BOLT_URL in .env: was bolt://bolt.classroomcopilot.ai
(public IP, port not exposed), now bolt://192.168.0.209:7687 (LAN).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add POST /transcribe/sessions/{id}/export endpoint
- Generate SRT (SubRip subtitle format) with timestamps
- Generate TXT (plain text with [HH:MM:SS,mmm] timestamps)
- Generate JSON (structured data: session, segments, summaries, canvas events)
- Return as FileResponse download with Content-Disposition headers
- Filenames include sanitized session title + date
- No API keys stored or logged during export
- Create llm_client.py with 5 provider implementations (Anthropic, OpenAI, Ollama, OpenRouter, Google)
- Add build_prompt() helper to construct system/user prompts from templates
- Wire up POST /transcribe/sessions/{id}/summaries endpoint to call LLM client
- Return generated content + token counts (input_tokens, output_tokens)
- API keys passed per-request, never stored or logged
- Uses prompt templates from prompts.py based on summary_type
- Query Neo4j for Academic/Registration periods where now() is between start_time and end_time
- Return period_id, event_type, event_label, start_time, end_time
- Handles missing teacher or Neo4j connection gracefully
- Fixed signature mismatch where enrollment_requests router was passing
filters parameter to get_multi() but method didn't accept it
- get_multi() now accepts optional filters dict and passes it to get_all()
- Updated ANON_KEY and SERVICE_ROLE_KEY from supabase container
- Changed SUPABASE_URL to local dev instance (192.168.0.155:8000)
- Synced .env.local with .env for consistency
