ja4-platform/services/bot-detector/docker-compose.yml

version: '3.8'  # Champ déprécié depuis Docker Compose v2.x mais toléré — peut être supprimé

services:
  bot_detector_ai:
    build: bot_detector
    container_name: bot_detector_ai
    restart: unless-stopped
    ports:
      - "8080:8080"          # Health check → GET http://localhost:8080/

    env_file:
      - .env

    environment:
      # ── ClickHouse ────────────────────────────────────────────────────────
      CLICKHOUSE_HOST:     ${CLICKHOUSE_HOST:-clickhouse}
      CLICKHOUSE_DB:       ${CLICKHOUSE_DB:-mabase_prod}
      CLICKHOUSE_USER:     ${CLICKHOUSE_USER:-admin}
      CLICKHOUSE_PASSWORD: ${CLICKHOUSE_PASSWORD:-}

      # ── Modèle IA ─────────────────────────────────────────────────────────
      ISOLATION_CONTAMINATION: ${ISOLATION_CONTAMINATION:-0.02}
      ANOMALY_THRESHOLD:       ${ANOMALY_THRESHOLD:--0.03}

      # ── Cycle ─────────────────────────────────────────────────────────────
      CYCLE_INTERVAL_SEC:          ${CYCLE_INTERVAL_SEC:-300}
      MAX_CONSECUTIVE_FAILURES:    ${MAX_CONSECUTIVE_FAILURES:-3}

      # ── Logs ──────────────────────────────────────────────────────────────
      BOT_DETECTOR_LOG:  ${BOT_DETECTOR_LOG:-/var/log/bot_detector/decisions.jsonl}
      LOG_BACKUP_COUNT:  ${LOG_BACKUP_COUNT:-7}

      # ── Modèles persistants ───────────────────────────────────────────────
      MODEL_DIR: ${MODEL_DIR:-/var/lib/bot_detector}
      RETRAIN_INTERVAL_HOURS: ${RETRAIN_INTERVAL_HOURS:-24}
      MODEL_HISTORY_COUNT:    ${MODEL_HISTORY_COUNT:-10}

      # ── A1 — Dérive conceptuelle ──────────────────────────────────────────
      DRIFT_THRESHOLD: ${DRIFT_THRESHOLD:-0.30}

      # ── A2 — Seuil adaptatif ──────────────────────────────────────────────
      ANOMALY_PERCENTILE: ${ANOMALY_PERCENTILE:-5}

      # ── A3 — Analyse multi-fenêtres ───────────────────────────────────────
      ENABLE_MULTIWINDOW: ${ENABLE_MULTIWINDOW:-false}
      MULTIWINDOW_VIEW:   ${MULTIWINDOW_VIEW:-view_ai_features_24h}

      # ── A4 — Explainabilité SHAP ──────────────────────────────────────────
      ENABLE_SHAP: ${ENABLE_SHAP:-true}

      # ── A5 — Déduplication inter-cycles avec TTL ──────────────────────────
      DEDUP_TTL_MIN: ${DEDUP_TTL_MIN:-60}

      # ── A6 — Pondération du score par récurrence ──────────────────────────
      RECURRENCE_WEIGHT: ${RECURRENCE_WEIGHT:-0.005}

      # ── A7 — Validation de complétude des features ────────────────────────
      MIN_VALID_FEATURE_RATIO: ${MIN_VALID_FEATURE_RATIO:-0.50}

      # ── A8 — Clustering comportemental des anomalies ──────────────────────
      ENABLE_CLUSTERING:      ${ENABLE_CLUSTERING:-true}
      CLUSTERING_MIN_SAMPLES: ${CLUSTERING_MIN_SAMPLES:-3}

      # ── Health check ──────────────────────────────────────────────────────
      HEALTH_PORT: ${HEALTH_PORT:-8080}

    volumes:
      # Logs structurés JSONL (analyse a posteriori)
      - ./bot_detector_logs:/var/log/bot_detector

      # Modèles Isolation Forest sérialisés (joblib)
      - ./bot_detector_models:/var/lib/bot_detector

      # Fichiers CSV de réputation partagés avec ClickHouse (FILE engine)
      # Montés en read-only côté bot_detector (écriture via ClickHouse uniquement)
      - ./reputation/data/user_files/bot_ip.csv:/data/bot_ip.csv:ro
      - ./reputation/data/user_files/bot_ja4.csv:/data/bot_ja4.csv:ro
      - ./reputation/data/user_files/asn_reputation.csv:/data/asn_reputation.csv:ro