asepharyana
33013697e0
- Gateway: delete voice-recording/, voice-pcm-ws/, voice/video/media handlers, vendor/discord-voice-fork/, voice DB repos, 2 voice migrations - Gateway: cut voice wiring from bootstrap/shutdown/commandHandler/handler-registry, eventBroadcaster/eventTypes, redis-channels, moderation-types, message-capture, config keys, and deps (@discordjs/voice, opus, libsodium, prism-media, davey) - Backend: delete voice/, recordings/, media/ modules + @discordjs/voice dep - Backend: cut voice/media/recordings oRPC routers, WS gateway-PCM auth + voice handlers, Redis bridge voice aggregation, redis-channels voice/media constants, config keys, moderation-types voice items, e2e voice/recordings suites - Keep voice DB tables (destructive migration avoided); chatbot voiceRecordings tool + dashboard count remain as read-only historical data access
122 lines
8.0 KiB
Bash
122 lines
8.0 KiB
Bash
# Discord Bot Configuration
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# =============================================================================
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#
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# PRODUCTION ENV IS DECLARATIVE:
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# The runtime env files on the VPS (/etc/gmw/backend.env,
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# /etc/gmw/discord-gateway.env) are WRITTEN BY CI from Gitea Actions secrets
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# (BACKEND_ENV, GATEWAY_ENV) — see .gitea/workflows/deploy.yml.
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# To change production env: update the secret in Gitea repo settings
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# (Settings → Actions → Secrets), then push any commit to main. Never
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# SSH into the VPS to edit env files by hand — CI will overwrite them.
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#
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# This file documents every variable; values for production live in the
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# secrets, not here.
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# === Discord ===
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DISCORD_TOKEN=your_bot_token_here # REQUIRED
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MONITOR_GUILD_ID=your_guild_id_here # Target guild for text monitoring
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TEXT_GUILD_ID=optional_text_guild_id # Override text capture guild (falls back to MONITOR_GUILD_ID)
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TEXT_CHANNEL_ID=optional_text_channel_id # Restrict text capture to a single channel
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AVATAR_SIZE=64 # User avatar size in pixels (default: 64)
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# === Webserver ===
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WEBSERVER_PORT=4001 # Backend HTTP/WS server port (default: 4001)
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# === Connection ===
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RECONNECT_TIMEOUT_MS=5000 # Reconnect timeout in ms (default: 5000)
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# === Logging ===
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LOG_LEVEL=info # Pino log level: error|warn|info|http|verbose|debug|silly (default: info)
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NODE_ENV=development # Environment: development|production|test (default: development)
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VERBOSE=false # Enable verbose/debug logging (default: false)
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# === Admin ===
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# ADMIN_PASSWORD removed — dashboard is public
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# === Database (PostgreSQL) ===
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# Option 1: Connection string (overrides individual params)
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DATABASE_URL=postgresql://asephs:***@100.121.180.82:6432/dcbot
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# Option 2: Individual connection parameters
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POSTGRES_HOST=localhost # PostgreSQL host (default: localhost)
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POSTGRES_PORT=5432 # PostgreSQL port (default: 5432)
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POSTGRES_USER=postgres # PostgreSQL user (optional if DATABASE_URL provided)
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POSTGRES_PASSWORD=your_password_here # PostgreSQL password (optional if DATABASE_URL provided)
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POSTGRES_DB=discord_bot # PostgreSQL database name (optional if DATABASE_URL provided)
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POSTGRES_POOL_MIN=2 # Minimum pool connections (default: 2)
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POSTGRES_POOL_MAX=10 # Maximum pool connections (default: 10)
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# === Redis ===
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REDIS_URL=redis://100.121.180.82:6379 # Redis connection string (default: redis://localhost:6379)
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# === Attachments ===
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TELE_UPLOAD_URL=https://upload.asepharyana.my.id/api/upload # Attachment upload endpoint (default)
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ATTACHMENT_UPLOAD_TIMEOUT_MS=30000 # Upload timeout in ms (default: 30000)
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ATTACHMENT_MAX_SIZE_MB=100 # Max attachment size in MB (default: 100)
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ATTACHMENT_RETRY_ATTEMPTS=3 # Upload retry count (default: 3)
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BACKLOG_SYNC_HOURS=24 # Backlog sync lookback window in hours (default: 24)
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BACKLOG_SYNC_BATCH_SIZE=100 # Messages per backlog batch, max 100 (default: 100)
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# === AI Analysis ===
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AI_ANALYSIS_ENABLED=false # Enable AI content moderation (default: false)
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AI_LLM_API_KEY= # REQUIRED if AI_ANALYSIS_ENABLED=true. LLM API key
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AI_LLM_BASE_URL=http://100.121.180.82:20128/api/v1 # LLM API base URL (omniroute — OpenAI-compatible router on imrnes, Tailscale 100.121.180.82)
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AI_LLM_MODEL=text # LLM text model name (default: text)
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# AI_LLM_VISION_MODEL= # Vision model for image analysis (falls back to AI_LLM_MODEL)
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# AI_LLM_EMBEDDING_MODEL= # Embedding model for semantic moderation cache (optional; enables near-duplicate text reuse to save LLM calls)
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# AI_LLM_EMBEDDING_MIN_SIMILARITY=0.97 # Min cosine similarity to reuse a cached verdict (default: 0.97)
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QDRANT_URL=http://100.121.180.82:6333 # Qdrant vector store for embeddings (semantic cache); when set, vectors are stored/searched in Qdrant instead of Postgres
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# QDRANT_COLLECTION=gmw_text_moderation # Qdrant collection name (default: gmw_text_moderation)
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# QDRANT_API_KEY= # Qdrant API key (optional)
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AI_LLM_MAX_CONCURRENT=5 # Max concurrent LLM API calls (default: 5)
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AI_LLM_IMAGE_MAX_DIMENSION=1024 # Max image dimension in pixels before resize (default: 1024)
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AI_LLM_TEXT_BATCH_SIZE=20 # Max messages per text-only moderation batch (default: 20)
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AI_LLM_MEDIA_ANALYSIS_TIMEOUT_MS=60000 # Timeout in ms for media analysis calls (default: 60000)
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AI_LLM_TEXT_ANALYSIS_TIMEOUT_MS=30000 # Timeout in ms for text-only analysis calls (default: 30000)
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AI_LLM_JEV_ENABLED=false # Use TypeSafe Jev (System One) as PRIMARY text analyzer; LLM is fallback
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AI_LLM_JEV_API_KEY= # REQUIRED if AI_LLM_JEV_ENABLED=true. 9router/TypeSafe API key for /v1/systemone
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AI_LLM_JEV_BASE_URL=http://127.0.0.1:4014 # 9router base URL (default: local 9router; prod: https://9router.asepharyana.my.id)
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AI_LLM_JEV_MODEL=oc/jev-1.13-free # Jev model id (default: oc/jev-1.13-free)
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AI_LLM_JEV_TIMEOUT_MS=45000 # Timeout in ms for a Jev systemone batch call (default: 45000)
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AI_LLM_JEV_MIN_CONFIDENCE=0.9 # Min status-choice confidence to accept a Jev verdict (default: 0.9)
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# === AI Analysis Tuning ===
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AI_ANALYSIS_DEBOUNCE_MS=500 # Debounce window for batching messages in ms (default: 500)
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AI_ANALYSIS_RECOVERY_INTERVAL_MS=15000 # Recovery interval after errors in ms (default: 15000)
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AI_ANALYSIS_ERROR_COOLDOWN_MS=30000 # Cooldown period after consecutive errors in ms (default: 30000)
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AI_ANALYSIS_MAX_BATCH_SIZE=200 # Max messages fetched per conversation batch (default: 200)
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AI_ANALYSIS_MAX_CONTEXT_TOKENS=8000 # Token budget for context window (default: 8000)
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AI_ANALYSIS_MAX_TARGET_TOKENS=4000 # Token budget for target messages (default: 4000)
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AI_ANALYSIS_CONTEXT_MESSAGE_LIMIT=20 # Max messages in context window (default: 20)
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AI_ANALYSIS_PROCESSING_TIMEOUT_MS=120000 # Conversation lock timeout in ms (default: 120000)
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AI_ANALYSIS_INDIVIDUAL_MAX_CONCURRENT=50 # Max concurrent individual-fallback jobs (default: 50)
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AI_ANALYSIS_INDIVIDUAL_CB_THRESHOLD=50 # Consecutive errors before circuit breaker trips (default: 50)
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# === Auto-Delete ===
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AUTO_DELETE_FLAGGED_ENABLED=true # Enable auto-deletion of flagged messages (default: true)
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AUTO_DELETE_FLAGGED_DRY_RUN=true # Dry-run mode: log but do not delete (default: false)
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AUTO_DELETE_FLAGGED_DELAY_MS=0 # Delay before auto-delete in ms (default: 0)
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AUTO_DELETE_MIN_CONFIDENCE=0.5 # Minimum AI confidence threshold 0-1 (default: 0.5)
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AUTO_DELETE_ALLOWED_SEVERITIES=critical,high,medium,low # Comma-separated severities (default)
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AUTO_DELETE_ALLOWED_CATEGORIES= # Comma-separated category filter (empty = all)
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AUTO_DELETE_EXCLUDED_CHANNEL_IDS= # Comma-separated channel IDs to exclude
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AUTO_DELETE_EXCLUDED_USER_IDS= # Comma-separated user IDs to exclude
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AUTO_DELETE_NOTIFY_USER=false # Notify user when their message is auto-deleted (default: false)
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AUTO_DELETE_LOG_CHANNEL_ID= # Channel ID to log auto-delete actions
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# === Retention (0 = disabled) ===
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RETENTION_MESSAGES_DAYS=0 # Message retention in days (default: 0 = off)
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RETENTION_ATTACHMENTS_DAYS=0 # Attachment retention in days (default: 0 = off)
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RETENTION_CLEANUP_INTERVAL_MS=86400000 # Cleanup interval in ms (default: 24h)
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RETENTION_DRY_RUN=true # Dry-run: log but do not delete (default: true)
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# === Migration ===
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AUTO_MIGRATE_ON_STARTUP=true # Run database migrations on startup (default: true)
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# === Worker Pool ===
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# Text and media AI-analysis batches run on separate Piscina pools so a slow
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# image/vision batch can never queue-block fast text-only batches.
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# PISCINA_MAX_THREADS=4 # Text-analysis worker pool size (optional, defaults to CPU cores)
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# PISCINA_MEDIA_MAX_THREADS=2 # Media-analysis worker pool size (optional, default 2)
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