4 Commits

Author	SHA1	Message	Date
Claude	866bd60225	Persist discovery answers to CSV for reprocessing and recovery ... Save each discovery conversation's prompts and answers to durable CSV files (per-conversation + append-only master log) on both save and completion, so answers survive an extraction error, can be re-fed to the AI, and can be reviewed/resumed by the user. - app/services/answer_store.py: canonical prompt list + atomic CSV writes, master append, and read-back helpers (DB stays system of record; CSV failures are logged, never fatal). - discovery router: write CSV on /respond and /complete; new endpoints GET /answers, GET /answers.csv, POST /reprocess (shared extraction helper; locked profiles return 409). - discovery.html: prefill/resume from saved answers after an error and a "Re-run analysis" button wired to /reprocess. - scripts/reprocess_csv.py: offline CLI to re-run extraction from a CSV (print or --write-db). - QUESTIONS_DIR / QUESTIONS_MASTER_CSV config, .gitignore, README, tests. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dg6XWUwprmP5QCL18HxssY	2026-06-19 01:06:40 +00:00
Joel Salmon	66176cbafb	Add Windows Task Scheduler runner for weekly check-ins ... scripts/run-weekly-checkins.ps1: pure-Windows equivalent of the cron script — reads the admin API key from .env and POSTs /discovery/coaching/run via Invoke-RestMethod, logging to data/coaching-cron.log. README documents the Register-ScheduledTask command (weekly, StartWhenAvailable + WakeToRun) for a more robust schedule than WSL cron. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-16 21:57:09 -05:00
Joel Salmon	2f962be0cf	Add weekly coaching check-in cron script ... scripts/run-weekly-checkins.sh reads the admin API key from .env and POSTs the Phase 3 batch endpoint (/discovery/coaching/run); a weekly host crontab entry (Mon 08:00) invokes it. Running weekly services all cadences since the endpoint skips users who aren't due. README documents the install. Output logs to data/coaching-cron.log (gitignored). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-16 21:54:46 -05:00
Joel Salmon	b8f176bb31	Initial commit: ImpactFlow Discovery + Google OAuth auth layer ... Discovery service (pre-existing): FastAPI + async SQLAlchemy + Alembic + SQLite + Anthropic, with a five-prompt static UI that produces an Enneagram + Ikigai profile. Auth implementation (this change set) follows Impact_Flow_Auth_Plan_OAuth.html, adapted to the discovery_conversation / discovery_profile schema: - app/auth.py: Google OAuth registration, JWT issue/decode, dual-auth dependency (Bearer JWT or X-API-Key), refresh-token hashing, domain allow-list, synthetic api-key-admin user - app/tracking.py: ActivityTrackingMiddleware + log_activity helper; tags machine-to-machine calls source=mcp - app/routers/auth.py: /api/auth/{login,callback,refresh,logout}, /api/me, /api/me/{stats,sessions,sessions/{id}} - app/routers/activity.py: /api/activity, /api/activity/summary, /api/admin/activity, plus prune_old_activity (90-day retention) - app/routers/discovery.py: every route now user-scoped via the auth dependency; /discovery/profile/{user_id} -> /discovery/profile/me - alembic/versions/002_add_auth.py: users, refresh_tokens, activity_log - tests/test_auth.py: 8 tests covering 401 paths, X-API-Key admin resolution, JWT round-trip, admin gating, domain allow-list - README.md: Authentication section, expanded env-var table, updated data-model and API-reference tables - .env.example: new GOOGLE_*, JWT_*, IMPACTFLOW_API_KEY, CORS_*, ALLOWED_EMAIL_DOMAINS placeholders - .gitignore: also exclude data/*.log Tests: 19/19 pass (11 pre-existing + 8 new). smoke_test.py exercises the full discovery flow under X-API-Key plus 401 paths, OAuth login redirect, activity logging, and /api/me/stats. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-27 10:59:41 -05:00