Persistence: PostgreSQL table ip_abuse (ip_hash SHA-256, rejection_count,
timestamps, last_idea_id, blacklisted_at, expires_at). No raw IP stored.
Logic:
- First illegal contribution: recorded, tolerated (benefit of the doubt)
- Second illegal contribution: 30-day block (IP_BLACKLIST_DAYS, configurable)
- Counter is cumulative — valid contributions do not reset it
- Block check fires before all other validations in both submit routes
Backend:
- database.py: check_ip_blacklist, record_ip_rejection, get_ip_blacklist,
remove_ip_blacklist; ip_abuse table created in init_db()
- app.py: _get_ip_hash() helper; blacklist check + record in submit_idea()
and submit_consultation_idea(); admin routes GET/DELETE /api/admin/ip-blacklist
Admin panel: new "Blacklist" tab showing active entries with hash, rejection
count, trigger idea id, dates; "Lever" button for manual removal
Docs:
- SECURITE_ANTI_ABUS.md: section 8 describing the mechanism, RGPD basis,
limits, and IP_BLACKLIST_DAYS env var
- privacy-policy.tsx: IP row updated to reflect hash storage + legal basis
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Backend (app.py / database.py / ai_agent.py):
- [Critique] Autoclose loop: add pg_try_advisory_lock so only one Gunicorn
worker runs the check per 60s cycle; add random startup jitter
- [Critique] admin_delete_idea: pass consultation_id to
_update_synthesis_background so the right synthesis is regenerated
- [Majeur] admin_login: return HMAC-signed session token instead of raw
ADMIN_SECRET; require_admin verifies the signature (TTL 8h)
- [Majeur] bulk_delete: replace str.isdigit() (Unicode-unsafe) with
try/except int() to prevent crash on Unicode digit characters
- [Majeur] create_consultation: force UTC timezone on naive datetime from
fromisoformat() to prevent TypeError when comparing with UTC-aware now()
- [Majeur] ai_agent.py: fix 'raw' in dir() -> 'raw' in locals() so the
JSON parse error log actually shows the raw response
- [Mineur] export print: use datetime.now(UTC) instead of datetime.now()
Frontend (React):
- [Majeur] consultation.tsx: show startsAt (not endsAt) for upcoming
consultations; add startsAt variable
- [Majeur] consultations-list.tsx: same fix for the list view
- [Mineur] home.tsx: guard new Date(idea.createdAt) against null
- [Mineur] admin.tsx: check HTTP status in exportCsv XHR before creating
download link; show error toast on non-200
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Require signed _ct cookie (set by POST /api/consent) before accepting any
submission. Direct API calls without a prior consent flow are rejected 403.
- Add _sign_consent_token / _verify_consent_token (HMAC-SHA256, 24h TTL).
- Lower default CONTRIBUTION_COOLDOWN_SECONDS from 3600 to 240 (4 min).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
init_db() was only called inside if __name__ == "__main__", which Gunicorn
never executes. Tables were never created, causing every request to fail.
Move the call to module level so it runs on import, before the autoclose
thread starts.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
P3 — RGPD :
- Table `consents` + `POST /api/consent` (art. 7.1 — preuve du consentement)
- Dialogue de consentement explicite avant la première contribution (art. 9.2.a)
- Pages `/mentions-legales` et `/politique-confidentialite`
- `docs/RGPD.md` — registre des traitements, bases légales, sous-traitants
- `getVisitorId()` exporté depuis l'API client React
P4 — Transparence éditoriale :
- Page `/contributions-brutes` avec pagination et export JSON/CSV
- `GET /api/contributions`, `GET /api/contributions/export/{json,csv}`
- `GET /api/stats/public` — stats publiques sans données de rejet
- Label de transparence IA sur la colonne de synthèse
- Compteurs (acceptées / soumises) dans le bandeau d'intro
- `docs/PROMPTS_IA.md` — prompts intégraux publiés + analyse des biais
- Pied de page avec liens légaux et transparence
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds an admin interface with authentication for manual content deletion and flagging. Implements a flagging system for user contributions and secures the admin panel with a secret token.
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Replace the existing Node.js API server with a Python Flask application, implementing robust AI-driven content filtering based on international human rights law and enhancing security measures.
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