fbc1fad8b9
Backend : - Nouvelle table `consultations` (slug unique, fenêtre temporelle, webhook, logo) - `ideas.consultation_id` FK nullable (NULL = contexte global home) - `synthesis.consultation_id` FK nullable (synthèse par contexte) - Boucle auto-fermeture (thread daemon, 60 s) — ferme + webhook à l'échéance - Webhook de clôture : POST JSON (synthèse + métadonnées) via urllib.request - Routes publiques : GET/POST /api/consultations/<slug>, synthèse, contributions, export/print - Routes admin : list, create, close (+ webhook), delete (cascade explicite) - CSP ajustée sur /export/print pour autoriser window.print() Frontend : - Nouvelle page /consultation/:slug — formulaire, synthèse live, contributions paginées, PDF - Admin panel : onglet Consultations — liste, formulaire création, fermeture, suppression Docs : DAT.md v1.5, DEX.md v1.7 (section P5, tables, routes, webhook) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
495 lines
18 KiB
Python
495 lines
18 KiB
Python
"""
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La Voix du Peuple — Couche d'accès à la base de données PostgreSQL
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Copyright (C) 2026 billisdead — Licence EUPL-1.2
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Utilise psycopg2 directement — pas d'ORM, code lisible et transparent.
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"""
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import os
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import logging
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import psycopg2
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import psycopg2.extras
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from contextlib import contextmanager
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logger = logging.getLogger(__name__)
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def get_connection():
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database_url = os.environ.get("DATABASE_URL")
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if not database_url:
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raise RuntimeError("DATABASE_URL est requis.")
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return psycopg2.connect(database_url, cursor_factory=psycopg2.extras.RealDictCursor)
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@contextmanager
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def db_cursor():
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conn = get_connection()
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try:
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with conn.cursor() as cur:
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yield cur
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conn.commit()
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except Exception:
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conn.rollback()
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raise
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finally:
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conn.close()
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def init_db() -> None:
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"""Crée les tables si elles n'existent pas, et applique les migrations nécessaires."""
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with db_cursor() as cur:
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# Table consultations — créée AVANT ideas pour la contrainte FK
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cur.execute("""
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CREATE TABLE IF NOT EXISTS consultations (
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id SERIAL PRIMARY KEY,
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slug VARCHAR(100) UNIQUE NOT NULL,
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title VARCHAR(200) NOT NULL,
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subject TEXT NOT NULL,
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intro_message TEXT,
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organizer_name VARCHAR(200),
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organizer_logo_url TEXT,
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starts_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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ends_at TIMESTAMPTZ,
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closed_at TIMESTAMPTZ,
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webhook_url TEXT,
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
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)
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""")
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cur.execute("""
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CREATE TABLE IF NOT EXISTS ideas (
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id SERIAL PRIMARY KEY,
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content TEXT NOT NULL,
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author VARCHAR(100),
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accepted BOOLEAN NOT NULL DEFAULT FALSE,
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rejection_reason TEXT,
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legal_basis TEXT,
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
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)
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""")
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# Migrations incrémentales — idempotentes
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cur.execute("ALTER TABLE ideas ADD COLUMN IF NOT EXISTS legal_basis TEXT")
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cur.execute("ALTER TABLE ideas ADD COLUMN IF NOT EXISTS flagged BOOLEAN NOT NULL DEFAULT FALSE")
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cur.execute("ALTER TABLE ideas ADD COLUMN IF NOT EXISTS flag_count INTEGER NOT NULL DEFAULT 0")
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cur.execute("ALTER TABLE ideas ADD COLUMN IF NOT EXISTS admin_note TEXT")
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cur.execute("ALTER TABLE ideas ADD COLUMN IF NOT EXISTS fingerprint_hash VARCHAR(64)")
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# P5 — consultation_id : NULL = contribution globale (page d'accueil)
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cur.execute(
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"ALTER TABLE ideas ADD COLUMN IF NOT EXISTS consultation_id INTEGER REFERENCES consultations(id) ON DELETE SET NULL"
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)
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cur.execute("""
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CREATE TABLE IF NOT EXISTS synthesis (
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id SERIAL PRIMARY KEY,
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text TEXT NOT NULL,
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idea_count INTEGER NOT NULL DEFAULT 0,
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updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
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)
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""")
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# P5 — une synthèse par contexte (NULL = synthèse globale)
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cur.execute(
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"ALTER TABLE synthesis ADD COLUMN IF NOT EXISTS consultation_id INTEGER REFERENCES consultations(id) ON DELETE CASCADE"
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)
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# Table de traçabilité des consentements RGPD (art. 7.1 — charge de la preuve)
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cur.execute("""
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CREATE TABLE IF NOT EXISTS consents (
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id SERIAL PRIMARY KEY,
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fingerprint_hash VARCHAR(64) NOT NULL,
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consent_version VARCHAR(20) NOT NULL,
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consented_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
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)
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""")
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cur.execute(
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"CREATE INDEX IF NOT EXISTS idx_consents_fingerprint ON consents(fingerprint_hash)"
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)
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cur.execute("CREATE INDEX IF NOT EXISTS idx_ideas_consultation ON ideas(consultation_id)")
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cur.execute("CREATE INDEX IF NOT EXISTS idx_synthesis_consultation ON synthesis(consultation_id)")
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logger.info("Base de données initialisée.")
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# ─── Idées ────────────────────────────────────────────────────────────────────
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def insert_idea(
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content: str,
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author: str | None,
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accepted: bool,
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rejection_reason: str | None,
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legal_basis: str | None,
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fingerprint_hash: str | None = None,
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consultation_id: int | None = None,
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) -> dict:
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with db_cursor() as cur:
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cur.execute(
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"""
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INSERT INTO ideas
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(content, author, accepted, rejection_reason, legal_basis, fingerprint_hash, consultation_id)
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VALUES (%s, %s, %s, %s, %s, %s, %s)
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RETURNING *
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""",
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(content, author, accepted, rejection_reason, legal_basis, fingerprint_hash, consultation_id),
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)
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return dict(cur.fetchone())
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def get_accepted_ideas(consultation_id: int | None = None) -> list[dict]:
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"""Retourne les idées acceptées d'un contexte donné (NULL = global)."""
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with db_cursor() as cur:
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if consultation_id is None:
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cur.execute(
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"SELECT * FROM ideas WHERE accepted = TRUE AND consultation_id IS NULL ORDER BY created_at ASC"
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)
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else:
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cur.execute(
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"SELECT * FROM ideas WHERE accepted = TRUE AND consultation_id = %s ORDER BY created_at ASC",
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(consultation_id,),
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)
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return [dict(row) for row in cur.fetchall()]
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def get_all_ideas(limit: int = 50) -> list[dict]:
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with db_cursor() as cur:
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cur.execute(
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"SELECT * FROM ideas ORDER BY created_at DESC LIMIT %s", (limit,)
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)
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return [dict(row) for row in cur.fetchall()]
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def get_ideas_admin(
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status: str = "all",
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page: int = 1,
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per_page: int = 50,
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search: str = "",
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consultation_id: int | None = None,
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global_only: bool = False,
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) -> tuple[list[dict], int]:
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offset = (page - 1) * per_page
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conditions = []
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params: list = []
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if global_only:
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conditions.append("consultation_id IS NULL")
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elif consultation_id is not None:
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conditions.append("consultation_id = %s")
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params.append(consultation_id)
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if status == "accepted":
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conditions.append("accepted = TRUE")
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elif status == "rejected":
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conditions.append("accepted = FALSE AND flagged = FALSE")
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elif status == "flagged":
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conditions.append("flagged = TRUE")
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if search:
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conditions.append("content ILIKE %s")
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params.append(f"%{search}%")
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where = ("WHERE " + " AND ".join(conditions)) if conditions else ""
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with db_cursor() as cur:
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cur.execute(f"SELECT COUNT(*) as total FROM ideas {where}", params)
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total = cur.fetchone()["total"]
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cur.execute(
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f"SELECT * FROM ideas {where} ORDER BY flagged DESC, created_at DESC LIMIT %s OFFSET %s",
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params + [per_page, offset],
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)
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rows = [dict(row) for row in cur.fetchall()]
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return rows, total
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def delete_idea(idea_id: int) -> bool:
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with db_cursor() as cur:
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cur.execute("DELETE FROM ideas WHERE id = %s RETURNING id", (idea_id,))
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return cur.fetchone() is not None
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def bulk_delete_ideas(idea_ids: list[int]) -> int:
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if not idea_ids:
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return 0
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with db_cursor() as cur:
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cur.execute(
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"DELETE FROM ideas WHERE id = ANY(%s) RETURNING id",
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(idea_ids,),
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)
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return len(cur.fetchall())
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def override_idea(
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idea_id: int,
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accepted: bool,
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reason: str | None,
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note: str | None,
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) -> dict | None:
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with db_cursor() as cur:
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cur.execute(
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"""
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UPDATE ideas
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SET accepted = %s,
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rejection_reason = %s,
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flagged = FALSE,
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admin_note = %s
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WHERE id = %s
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RETURNING *
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""",
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(accepted, reason, note, idea_id),
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)
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row = cur.fetchone()
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return dict(row) if row else None
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def flag_idea(idea_id: int) -> dict | None:
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with db_cursor() as cur:
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cur.execute(
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"""
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UPDATE ideas
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SET flagged = TRUE, flag_count = flag_count + 1
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WHERE id = %s AND accepted = TRUE
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RETURNING *
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""",
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(idea_id,),
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)
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row = cur.fetchone()
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return dict(row) if row else None
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def unflag_idea(idea_id: int) -> dict | None:
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with db_cursor() as cur:
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cur.execute(
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"UPDATE ideas SET flagged = FALSE WHERE id = %s RETURNING *",
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(idea_id,),
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)
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row = cur.fetchone()
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return dict(row) if row else None
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def get_stats() -> dict:
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with db_cursor() as cur:
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cur.execute("SELECT COUNT(*) as total FROM ideas")
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total = cur.fetchone()["total"]
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cur.execute("SELECT COUNT(*) as accepted FROM ideas WHERE accepted = TRUE")
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accepted = cur.fetchone()["accepted"]
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cur.execute("SELECT COUNT(*) as rejected FROM ideas WHERE accepted = FALSE")
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rejected = cur.fetchone()["rejected"]
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cur.execute("SELECT COUNT(*) as flagged FROM ideas WHERE flagged = TRUE")
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flagged = cur.fetchone()["flagged"]
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return {"total": total, "accepted": accepted, "rejected": rejected, "flagged": flagged}
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# ─── Synthèse ─────────────────────────────────────────────────────────────────
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def upsert_synthesis(text: str, idea_count: int, consultation_id: int | None = None) -> dict:
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"""Crée ou met à jour la synthèse d'un contexte (NULL = global, int = consultation)."""
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with db_cursor() as cur:
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if consultation_id is None:
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cur.execute("SELECT id FROM synthesis WHERE consultation_id IS NULL LIMIT 1")
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else:
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cur.execute("SELECT id FROM synthesis WHERE consultation_id = %s LIMIT 1", (consultation_id,))
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row = cur.fetchone()
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if row:
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cur.execute(
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"""
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UPDATE synthesis
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SET text = %s, idea_count = %s, updated_at = NOW()
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WHERE id = %s
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RETURNING *
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""",
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(text, idea_count, row["id"]),
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)
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else:
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cur.execute(
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"""
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INSERT INTO synthesis (text, idea_count, consultation_id)
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VALUES (%s, %s, %s)
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RETURNING *
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""",
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(text, idea_count, consultation_id),
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)
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return dict(cur.fetchone())
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def get_synthesis(consultation_id: int | None = None) -> dict | None:
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"""Retourne la synthèse d'un contexte (NULL = globale)."""
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with db_cursor() as cur:
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if consultation_id is None:
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cur.execute("SELECT * FROM synthesis WHERE consultation_id IS NULL LIMIT 1")
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else:
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cur.execute("SELECT * FROM synthesis WHERE consultation_id = %s LIMIT 1", (consultation_id,))
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row = cur.fetchone()
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return dict(row) if row else None
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# ─── RGPD — Consentements ─────────────────────────────────────────────────────
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def create_consent(fingerprint_hash: str, consent_version: str) -> dict:
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"""Enregistre un consentement explicite (art. 7.1 RGPD — preuve)."""
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with db_cursor() as cur:
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cur.execute(
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"""
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INSERT INTO consents (fingerprint_hash, consent_version)
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VALUES (%s, %s)
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RETURNING *
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""",
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(fingerprint_hash, consent_version),
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)
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return dict(cur.fetchone())
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# ─── Contributions publiques (contexte global) ────────────────────────────────
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def get_public_contributions(page: int = 1, per_page: int = 20) -> tuple[list[dict], int]:
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"""Contributions globales (consultation_id IS NULL) acceptées, paginées."""
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offset = (page - 1) * per_page
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with db_cursor() as cur:
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cur.execute(
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"SELECT COUNT(*) as total FROM ideas WHERE accepted = TRUE AND flagged = FALSE AND consultation_id IS NULL"
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)
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total = cur.fetchone()["total"]
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cur.execute(
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"""
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SELECT id, content, author, created_at
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FROM ideas
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WHERE accepted = TRUE AND flagged = FALSE AND consultation_id IS NULL
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ORDER BY created_at DESC
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LIMIT %s OFFSET %s
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""",
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(per_page, offset),
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)
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rows = [dict(row) for row in cur.fetchall()]
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return rows, total
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def get_public_stats() -> dict:
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"""Statistiques publiques globales (hors consultations)."""
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with db_cursor() as cur:
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cur.execute("SELECT COUNT(*) as total FROM ideas WHERE consultation_id IS NULL")
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total = cur.fetchone()["total"]
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cur.execute(
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"SELECT COUNT(*) as accepted FROM ideas WHERE accepted = TRUE AND consultation_id IS NULL"
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)
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accepted = cur.fetchone()["accepted"]
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cur.execute("SELECT updated_at FROM synthesis WHERE consultation_id IS NULL LIMIT 1")
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row = cur.fetchone()
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last_updated = row["updated_at"].isoformat() if row and row.get("updated_at") else None
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return {"total": total, "accepted": accepted, "lastUpdated": last_updated}
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# ─── Consultations (P5) ───────────────────────────────────────────────────────
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def create_consultation(
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slug: str,
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title: str,
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subject: str,
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intro_message: str | None,
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organizer_name: str | None,
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organizer_logo_url: str | None,
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starts_at,
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ends_at,
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webhook_url: str | None,
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) -> dict:
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with db_cursor() as cur:
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cur.execute(
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"""
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INSERT INTO consultations
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(slug, title, subject, intro_message, organizer_name,
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organizer_logo_url, starts_at, ends_at, webhook_url)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
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RETURNING *
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""",
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(slug, title, subject, intro_message, organizer_name,
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organizer_logo_url, starts_at, ends_at, webhook_url),
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)
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return dict(cur.fetchone())
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def get_consultation_by_slug(slug: str) -> dict | None:
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with db_cursor() as cur:
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cur.execute("SELECT * FROM consultations WHERE slug = %s", (slug,))
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row = cur.fetchone()
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return dict(row) if row else None
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def list_consultations(include_closed: bool = False) -> list[dict]:
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with db_cursor() as cur:
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if include_closed:
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cur.execute("SELECT * FROM consultations ORDER BY created_at DESC")
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else:
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cur.execute(
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"SELECT * FROM consultations WHERE closed_at IS NULL ORDER BY created_at DESC"
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)
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return [dict(row) for row in cur.fetchall()]
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def close_consultation(consultation_id: int) -> dict | None:
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with db_cursor() as cur:
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cur.execute(
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"UPDATE consultations SET closed_at = NOW() WHERE id = %s AND closed_at IS NULL RETURNING *",
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(consultation_id,),
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)
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row = cur.fetchone()
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return dict(row) if row else None
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def get_consultations_to_autoclose() -> list[dict]:
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"""Consultations dont la date de fin est passée mais non encore fermées."""
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with db_cursor() as cur:
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cur.execute(
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"""
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SELECT * FROM consultations
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WHERE ends_at IS NOT NULL
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AND ends_at < NOW()
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AND closed_at IS NULL
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"""
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)
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return [dict(row) for row in cur.fetchall()]
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def get_consultation_stats(consultation_id: int) -> dict:
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with db_cursor() as cur:
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cur.execute(
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"SELECT COUNT(*) as total FROM ideas WHERE consultation_id = %s",
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(consultation_id,),
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)
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total = cur.fetchone()["total"]
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cur.execute(
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"SELECT COUNT(*) as accepted FROM ideas WHERE consultation_id = %s AND accepted = TRUE",
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(consultation_id,),
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)
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accepted = cur.fetchone()["accepted"]
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cur.execute(
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"SELECT updated_at FROM synthesis WHERE consultation_id = %s LIMIT 1",
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(consultation_id,),
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)
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row = cur.fetchone()
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last_updated = row["updated_at"].isoformat() if row and row.get("updated_at") else None
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return {"total": total, "accepted": accepted, "lastUpdated": last_updated}
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def get_consultation_contributions(
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consultation_id: int, page: int = 1, per_page: int = 20
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) -> tuple[list[dict], int]:
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offset = (page - 1) * per_page
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with db_cursor() as cur:
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cur.execute(
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"SELECT COUNT(*) as total FROM ideas WHERE consultation_id = %s AND accepted = TRUE AND flagged = FALSE",
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(consultation_id,),
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)
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total = cur.fetchone()["total"]
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cur.execute(
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"""
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SELECT id, content, author, created_at
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FROM ideas
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WHERE consultation_id = %s AND accepted = TRUE AND flagged = FALSE
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ORDER BY created_at DESC
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LIMIT %s OFFSET %s
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""",
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(consultation_id, per_page, offset),
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)
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rows = [dict(row) for row in cur.fetchall()]
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return rows, total
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def delete_consultation(consultation_id: int) -> bool:
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"""Supprime une consultation et toutes ses données (idées, synthèse) dans la même transaction."""
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with db_cursor() as cur:
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# Supprimer explicitement les idées pour éviter qu'elles ne deviennent "globales" par SET NULL
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cur.execute("DELETE FROM ideas WHERE consultation_id = %s", (consultation_id,))
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cur.execute("DELETE FROM synthesis WHERE consultation_id = %s", (consultation_id,))
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cur.execute("DELETE FROM consultations WHERE id = %s RETURNING id", (consultation_id,))
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return cur.fetchone() is not None
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