.env example
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.env.example
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.env.example
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# ==============================================================================
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# Changemaker Lite v2 — Environment Variables
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# Copy this file to .env and fill in the values
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# Generate secrets with: openssl rand -hex 32
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# ==============================================================================
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#
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# SECURITY WARNING:
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# - All passwords marked REQUIRED_STRONG_PASSWORD_CHANGE_THIS MUST be changed
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# - Use strong, unique passwords (20+ characters recommended)
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# - Generate secrets with: openssl rand -hex 32
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# - NEVER commit .env to version control
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# ==============================================================================
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# --- General ---
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NODE_ENV=development
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# Root domain serves MkDocs documentation site only
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# All application routes (admin + public) accessible at app.${DOMAIN}
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DOMAIN=cmlite.org
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USER_ID=1000
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GROUP_ID=1000
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DOCKER_GROUP_ID=984
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# --- V2 PostgreSQL ---
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V2_POSTGRES_USER=changemaker
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V2_POSTGRES_PASSWORD=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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V2_POSTGRES_DB=changemaker_v2
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V2_POSTGRES_PORT=5433
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# --- JWT Auth ---
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JWT_ACCESS_SECRET=GENERATE_WITH_openssl_rand_hex_32
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JWT_REFRESH_SECRET=GENERATE_WITH_openssl_rand_hex_32
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JWT_ACCESS_EXPIRY=15m
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JWT_REFRESH_EXPIRY=7d
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# Encryption key for DB-stored secrets (SMTP password, etc.)
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# REQUIRED in production — must NOT reuse JWT_ACCESS_SECRET
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# Generate with: openssl rand -hex 32
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ENCRYPTION_KEY=GENERATE_WITH_openssl_rand_hex_32
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# --- Initial Super Admin User (auto-created during database seeding) ---
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# These credentials are used to create the initial super admin account
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# Change these before running the seed script in production
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INITIAL_ADMIN_EMAIL=admin@cmlite.org
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INITIAL_ADMIN_PASSWORD=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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# --- API ---
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API_PORT=4000
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API_URL=http://localhost:4000
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CORS_ORIGINS=http://localhost:3000,http://localhost
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# --- Admin GUI ---
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ADMIN_PORT=3000
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ADMIN_URL=http://localhost:3000
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# --- Nginx ---
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NGINX_HTTP_PORT=80
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NGINX_HTTPS_PORT=443
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# --- SMTP / Email ---
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SMTP_HOST=mailhog-changemaker
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SMTP_PORT=1025
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SMTP_USER=
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SMTP_PASS=
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SMTP_FROM=noreply@cmlite.org
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SMTP_FROM_NAME=Changemaker Lite
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EMAIL_TEST_MODE=true
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TEST_EMAIL_RECIPIENT=admin@cmlite.org
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# --- Listmonk ---
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LISTMONK_PORT=9001
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LISTMONK_DB_PORT=5432
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LISTMONK_DB_USER=listmonk
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LISTMONK_DB_PASSWORD=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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LISTMONK_DB_NAME=listmonk
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# Web admin login (for the Listmonk dashboard at :9001)
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LISTMONK_WEB_ADMIN_USER=admin
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LISTMONK_WEB_ADMIN_PASSWORD=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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# API user (auto-created by listmonk-init container, used by V2 API for sync)
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# Generate token: openssl rand -hex 16
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LISTMONK_API_USER=v2-api
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LISTMONK_API_TOKEN=GENERATE_WITH_openssl_rand_hex_16
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LISTMONK_ADMIN_USER=v2-api
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LISTMONK_ADMIN_PASSWORD=SAME_AS_LISTMONK_API_TOKEN
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LISTMONK_SYNC_ENABLED=false
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LISTMONK_PROXY_PORT=9002
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# Listmonk SMTP — MailHog for development (production SMTP added as second provider if credentials set)
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LISTMONK_SMTP_HOST=mailhog-changemaker
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LISTMONK_SMTP_PORT=1025
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LISTMONK_SMTP_USER=
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LISTMONK_SMTP_PASSWORD=
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LISTMONK_SMTP_TLS_TYPE=none
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LISTMONK_SMTP_FROM=Changemaker Lite <noreply@cmlite.org>
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# Production SMTP (uncomment and set for real email delivery):
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# LISTMONK_SMTP_HOST=smtp.protonmail.ch
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# LISTMONK_SMTP_PORT=587
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# LISTMONK_SMTP_USER=your@email.com
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# LISTMONK_SMTP_PASSWORD=your-password
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# LISTMONK_SMTP_TLS_TYPE=STARTTLS
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# --- Represent API (Canadian electoral data) ---
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REPRESENT_API_URL=https://represent.opennorth.ca
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# --- NocoDB v2 (read-only data browser) ---
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# NocoDB uses its own database (nocodb_meta) to avoid conflicts with Prisma
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# The database is auto-created by init-nocodb-db.sh on first PostgreSQL startup
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NOCODB_V2_PORT=8091
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NOCODB_URL=http://changemaker-v2-nocodb:8080
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NOCODB_PORT=8091
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NC_ADMIN_EMAIL=admin@cmlite.org
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NC_ADMIN_PASSWORD=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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# --- Redis ---
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# Shared Redis (v2 uses authenticated connection)
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REDIS_PASSWORD=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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REDIS_URL=redis://:${REDIS_PASSWORD}@redis-changemaker:6379
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# --- Media Management ---
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ENABLE_MEDIA_FEATURES=false
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MEDIA_API_PORT=4100
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MEDIA_API_PUBLIC_URL=http://media-api:4100
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MEDIA_ROOT=/media/library
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MEDIA_UPLOADS=/media/uploads
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MAX_UPLOAD_SIZE_GB=10
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VIDEO_PLAYER_DEBUG=false
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# Video Analytics (Feb 2026)
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VIDEO_ANALYTICS_RETENTION_DAYS=90
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VIDEO_ANALYTICS_IP_HASHING_ENABLED=true
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# Video Scheduling (Feb 2026)
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VIDEO_SCHEDULE_DEFAULT_TIMEZONE=UTC
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VIDEO_SCHEDULE_NOTIFICATION_ENABLED=true
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# Preview Links (Feb 2026)
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VIDEO_PREVIEW_LINK_EXPIRY_HOURS=24
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# --- Gitea ---
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GITEA_URL=http://gitea-changemaker:3000
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GITEA_PORT=3030
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GITEA_WEB_PORT=3030
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GITEA_SSH_PORT=2222
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GITEA_DB_TYPE=mysql
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GITEA_DB_HOST=gitea-db:3306
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GITEA_DB_NAME=gitea
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GITEA_DB_USER=gitea
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GITEA_DB_PASSWD=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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GITEA_DB_ROOT_PASSWORD=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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GITEA_ROOT_URL=https://git.cmlite.org
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GITEA_DOMAIN=git.cmlite.org
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# --- n8n ---
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N8N_URL=http://n8n-changemaker:5678
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N8N_PORT=5678
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N8N_HOST=n8n.cmlite.org
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N8N_ENCRYPTION_KEY=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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N8N_USER_EMAIL=admin@example.com
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N8N_USER_PASSWORD=REQUIRED_STRONG_PASSWORD_CHANGE_THIS
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GENERIC_TIMEZONE=UTC
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# --- MkDocs ---
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# Port mapping for MkDocs container (host:container)
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# This also controls the Vite dev proxy in local development
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# Change this port to use a different local port, and the admin dev server will automatically use it
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MKDOCS_PORT=4003
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MKDOCS_SITE_SERVER_PORT=4001
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BASE_DOMAIN=https://cmlite.org
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MKDOCS_PREVIEW_URL=http://mkdocs:8000
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MKDOCS_DOCS_PATH=/mkdocs/docs
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# --- Code Server ---
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CODE_SERVER_PORT=8888
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CODE_SERVER_URL=http://code-server:8080
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USER_NAME=coder
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# --- Homepage ---
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HOMEPAGE_PORT=3010
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HOMEPAGE_VAR_BASE_URL=http://localhost
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# --- Mini QR ---
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MINI_QR_PORT=8089
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MINI_QR_URL=http://mini-qr:8080
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MINI_QR_EMBED_PORT=8885
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# --- Excalidraw (Collaborative Whiteboard) ---
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EXCALIDRAW_PORT=8090
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EXCALIDRAW_URL=http://excalidraw-changemaker:80
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EXCALIDRAW_EMBED_PORT=8886
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EXCALIDRAW_WS_URL=wss://draw.cmlite.org
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# --- MailHog ---
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MAILHOG_SMTP_PORT=1025
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MAILHOG_WEB_PORT=8025
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# --- NAR (National Address Register) ---
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# Path to extracted NAR data (contains YYYYMM/Addresses/ and YYYYMM/Locations/)
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# Download from: https://www150.statcan.gc.ca/n1/pub/46-26-0002/462600022022001-eng.htm
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NAR_DATA_DIR=/data
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# --- Overpass / Area Import ---
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# OpenStreetMap Overpass API endpoint (use a private instance for heavy usage)
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OVERPASS_API_URL=https://overpass-api.de/api/interpreter
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# Minimum delay between Overpass requests (ms) — public API requires 30s
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OVERPASS_MIN_DELAY_MS=30000
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# Maximum reverse geocode grid points for area import fill-in
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AREA_IMPORT_MAX_GRID_POINTS=500
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# --- Geocoding ---
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# Optional Mapbox API key for improved geocoding accuracy
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# Free tier: 100,000 requests/month
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# Sign up: https://www.mapbox.com/pricing
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MAPBOX_API_KEY=
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# Rate limit delay between provider requests (milliseconds)
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GEOCODING_RATE_LIMIT_MS=1100
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# Redis-backed persistent cache settings
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GEOCODING_CACHE_ENABLED=true
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GEOCODING_CACHE_TTL_HOURS=24
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# Phase 2: Performance & Accuracy
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# Google Maps API (optional, most accurate but costs $0.005/request after 100k/month)
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GOOGLE_MAPS_API_KEY=
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GOOGLE_MAPS_ENABLED=false
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# Parallel geocoding for bulk imports (10x speedup)
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GEOCODING_PARALLEL_ENABLED=true
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GEOCODING_BATCH_SIZE=10
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# Bulk Re-Geocoding (Phase 3)
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BULK_GEOCODE_ENABLED=true
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BULK_GEOCODE_MAX_BATCH=5000
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# --- Pangolin Tunnel ---
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# Server: self-hosted Pangolin instance
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PANGOLIN_API_URL=https://api.bnkserve.org/v1
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PANGOLIN_API_KEY=
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PANGOLIN_ORG_ID=
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# Populated after setup (via admin GUI or API)
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PANGOLIN_SITE_ID=
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PANGOLIN_ENDPOINT=https://pangolin.bnkserve.org
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PANGOLIN_NEWT_ID=
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PANGOLIN_NEWT_SECRET=
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# --- Monitoring (only used with --profile monitoring) ---
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PROMETHEUS_PORT=9090
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GRAFANA_PORT=3001
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GRAFANA_ADMIN_PASSWORD=admin
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GRAFANA_ROOT_URL=http://localhost:3001
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CADVISOR_PORT=8080
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NODE_EXPORTER_PORT=9100
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REDIS_EXPORTER_PORT=9121
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ALERTMANAGER_PORT=9093
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GOTIFY_PORT=8889
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GOTIFY_ADMIN_USER=admin
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GOTIFY_ADMIN_PASSWORD=admin
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10
.gitignore
vendored
10
.gitignore
vendored
@ -21,6 +21,7 @@ node_modules/
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.env
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.env*
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!.env.example
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/configs/cloudflare/*.json
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/configs/cloudflare/*.yaml
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@ -34,3 +35,12 @@ node_modules/
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# NAR data directory (large voter registry files)
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/data/
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# Media files (managed by Docker volumes, not git)
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/media/
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# Build output
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/admin/dist/
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# MkDocs core binary
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/mkdocs/core
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9
admin/.env.example
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admin/.env.example
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# API Configuration
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# For Docker: http://changemaker-v2-api:4000
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# For local dev: http://localhost:4000
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VITE_API_URL=http://localhost:4000
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# MkDocs Configuration
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# For Docker: http://mkdocs-changemaker:8000
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# For local dev: http://localhost:4003
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VITE_MKDOCS_URL=http://localhost:4003
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@ -1,4 +1,4 @@
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import { useState, useEffect, useRef, useCallback } from 'react';
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import { useState, useEffect, useRef, useCallback, useMemo } from 'react';
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import {
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Steps,
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Button,
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@ -26,7 +26,11 @@ import {
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CloseCircleOutlined,
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LoadingOutlined,
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MinusCircleOutlined,
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WarningOutlined,
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} from '@ant-design/icons';
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import { MapContainer, TileLayer, Rectangle, Polygon, useMap } from 'react-leaflet';
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import type { LatLngBoundsExpression } from 'leaflet';
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import 'leaflet/dist/leaflet.css';
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import { api } from '@/lib/api';
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import type {
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Cut,
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@ -51,6 +55,56 @@ const SOURCE_STATUS_ICONS: Record<AreaImportSourceStatus, React.ReactNode> = {
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skipped: <MinusCircleOutlined style={{ color: '#d9d9d9' }} />,
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};
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const ZOOM_PRESETS = [
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{ value: 15, label: 'Neighborhood (zoom 15)' },
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{ value: 13, label: 'District (zoom 13)' },
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{ value: 10, label: 'City-wide (zoom 10)' },
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{ value: 8, label: 'Region (zoom 8)' },
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];
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/**
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* Client-side bounding box calculation from center + zoom + viewport.
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* Mirrors the server-side boundsFromCenterZoom() in spatial.ts.
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*/
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function boundsFromCenterZoom(
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lat: number,
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lng: number,
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zoom: number,
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viewportWidth = 1024,
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viewportHeight = 768,
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): { minLat: number; maxLat: number; minLng: number; maxLng: number } {
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const metersPerPixel = (156543.03392 * Math.cos((lat * Math.PI) / 180)) / Math.pow(2, zoom);
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const halfWidthMeters = (viewportWidth / 2) * metersPerPixel;
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const halfHeightMeters = (viewportHeight / 2) * metersPerPixel;
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const latDelta = halfHeightMeters / 111320;
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const lngDelta = halfWidthMeters / (111320 * Math.cos((lat * Math.PI) / 180));
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return {
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minLat: lat - latDelta,
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maxLat: lat + latDelta,
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minLng: lng - lngDelta,
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maxLng: lng + lngDelta,
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};
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}
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/**
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* Approximate area in sq km from a bounding box.
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*/
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function areaSqKm(bounds: { minLat: number; maxLat: number; minLng: number; maxLng: number }): number {
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const latMeters = (bounds.maxLat - bounds.minLat) * 111320;
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const avgLat = (bounds.minLat + bounds.maxLat) / 2;
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const lngMeters = (bounds.maxLng - bounds.minLng) * 111320 * Math.cos((avgLat * Math.PI) / 180);
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return (latMeters * lngMeters) / 1_000_000;
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}
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/** Fit the map to given bounds whenever they change. */
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function FitBoundsUpdater({ bounds }: { bounds: LatLngBoundsExpression }) {
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const map = useMap();
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useEffect(() => {
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map.fitBounds(bounds, { padding: [20, 20] });
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}, [map, bounds]);
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return null;
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}
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export default function AreaImportWizard({ cuts, onComplete }: AreaImportWizardProps) {
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const [currentStep, setCurrentStep] = useState(0);
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@ -59,6 +113,7 @@ export default function AreaImportWizard({ cuts, onComplete }: AreaImportWizardP
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const [selectedCutId, setSelectedCutId] = useState<string | undefined>();
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const [mapSettings, setMapSettings] = useState<MapSettings | null>(null);
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const [mapSettingsLoading, setMapSettingsLoading] = useState(false);
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const [zoomOverride, setZoomOverride] = useState<number | null>(null);
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// Step 1: Sources
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const [osmEnabled, setOsmEnabled] = useState(true);
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@ -78,6 +133,9 @@ export default function AreaImportWizard({ cuts, onComplete }: AreaImportWizardP
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const [importing, setImporting] = useState(false);
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const pollRef = useRef<ReturnType<typeof setInterval>>(undefined);
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// Effective zoom for viewport mode (override or map settings default)
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const effectiveZoom = zoomOverride ?? mapSettings?.zoom ?? 13;
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// Load map settings for viewport mode
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useEffect(() => {
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if (areaType === 'viewport' && !mapSettings) {
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@ -96,6 +154,54 @@ export default function AreaImportWizard({ cuts, onComplete }: AreaImportWizardP
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};
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}, []);
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// Compute viewport bounds for preview map
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const viewportBounds = useMemo(() => {
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if (areaType !== 'viewport' || !mapSettings?.latitude || !mapSettings?.longitude) return null;
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return boundsFromCenterZoom(
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Number(mapSettings.latitude),
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Number(mapSettings.longitude),
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effectiveZoom,
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);
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}, [areaType, mapSettings?.latitude, mapSettings?.longitude, effectiveZoom]);
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const viewportAreaSqKm = viewportBounds ? areaSqKm(viewportBounds) : null;
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// Parse cut polygon for preview map
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const selectedCutGeoJson = useMemo(() => {
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if (areaType !== 'cut' || !selectedCutId) return null;
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const cut = cuts.find((c) => c.id === selectedCutId);
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if (!cut?.geojson) return null;
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try {
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const parsed = JSON.parse(cut.geojson);
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// GeoJSON coordinates are [lng, lat] — Leaflet Polygon needs [lat, lng]
|
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if (parsed.type === 'Polygon' && parsed.coordinates) {
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return parsed.coordinates[0].map((c: number[]) => [c[1], c[0]] as [number, number]);
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}
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if (parsed.type === 'MultiPolygon' && parsed.coordinates) {
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// Just use the first polygon ring for preview
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return parsed.coordinates[0][0].map((c: number[]) => [c[1], c[0]] as [number, number]);
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}
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// If it's just an array of coordinate rings (legacy format)
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if (Array.isArray(parsed) && Array.isArray(parsed[0])) {
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return parsed[0].map((c: number[]) => [c[1], c[0]] as [number, number]);
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}
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} catch { /* ignore parse errors */ }
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return null;
|
||||
}, [areaType, selectedCutId, cuts]);
|
||||
|
||||
// Cut bounds for fitBounds
|
||||
const cutPreviewBounds = useMemo((): LatLngBoundsExpression | null => {
|
||||
if (!selectedCutGeoJson || selectedCutGeoJson.length === 0) return null;
|
||||
let minLat = Infinity, maxLat = -Infinity, minLng = Infinity, maxLng = -Infinity;
|
||||
for (const [lat, lng] of selectedCutGeoJson) {
|
||||
if (lat < minLat) minLat = lat;
|
||||
if (lat > maxLat) maxLat = lat;
|
||||
if (lng < minLng) minLng = lng;
|
||||
if (lng > maxLng) maxLng = lng;
|
||||
}
|
||||
return [[minLat, minLng], [maxLat, maxLng]];
|
||||
}, [selectedCutGeoJson]);
|
||||
|
||||
const buildRequestBody = useCallback(() => {
|
||||
const sources: Record<string, unknown> = {
|
||||
osm: osmEnabled,
|
||||
@ -114,11 +220,11 @@ export default function AreaImportWizard({ cuts, onComplete }: AreaImportWizardP
|
||||
lat: mapSettings?.latitude ? Number(mapSettings.latitude) : 53.5,
|
||||
lng: mapSettings?.longitude ? Number(mapSettings.longitude) : -113.5,
|
||||
};
|
||||
body.zoom = mapSettings?.zoom ?? 13;
|
||||
body.zoom = effectiveZoom;
|
||||
}
|
||||
|
||||
return body;
|
||||
}, [areaType, selectedCutId, mapSettings, osmEnabled, narEnabled, narResidentialOnly, rgEnabled, rgSpacing, rgMaxPoints]);
|
||||
}, [areaType, selectedCutId, mapSettings, effectiveZoom, osmEnabled, narEnabled, narResidentialOnly, rgEnabled, rgSpacing, rgMaxPoints]);
|
||||
|
||||
const fetchPreview = async () => {
|
||||
setPreviewLoading(true);
|
||||
@ -162,6 +268,94 @@ export default function AreaImportWizard({ cuts, onComplete }: AreaImportWizardP
|
||||
const canProceedStep0 = areaType === 'cut' ? !!selectedCutId : (!!mapSettings?.latitude && !!mapSettings?.longitude);
|
||||
const canProceedStep1 = osmEnabled || narEnabled || rgEnabled;
|
||||
|
||||
// ─── Mini Map Preview ─────────────────────────────────────────────
|
||||
|
||||
const renderPreviewMap = () => {
|
||||
// Viewport mode: show rectangle
|
||||
if (areaType === 'viewport' && viewportBounds) {
|
||||
const mapBounds: LatLngBoundsExpression = [
|
||||
[viewportBounds.minLat, viewportBounds.minLng],
|
||||
[viewportBounds.maxLat, viewportBounds.maxLng],
|
||||
];
|
||||
return (
|
||||
<Card size="small" title="Import Area Preview" style={{ marginTop: 12 }}>
|
||||
<div style={{ height: 250 }}>
|
||||
<MapContainer
|
||||
bounds={mapBounds}
|
||||
style={{ width: '100%', height: '100%' }}
|
||||
zoomControl={false}
|
||||
dragging={false}
|
||||
scrollWheelZoom={false}
|
||||
doubleClickZoom={false}
|
||||
touchZoom={false}
|
||||
boxZoom={false}
|
||||
keyboard={false}
|
||||
attributionControl={false}
|
||||
>
|
||||
<TileLayer url="https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png" />
|
||||
<FitBoundsUpdater bounds={mapBounds} />
|
||||
<Rectangle
|
||||
bounds={mapBounds}
|
||||
pathOptions={{
|
||||
color: '#1890ff',
|
||||
weight: 2,
|
||||
dashArray: '6 4',
|
||||
fillColor: '#1890ff',
|
||||
fillOpacity: 0.1,
|
||||
}}
|
||||
/>
|
||||
</MapContainer>
|
||||
</div>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
|
||||
// Cut mode: show polygon
|
||||
if (areaType === 'cut' && selectedCutGeoJson && cutPreviewBounds) {
|
||||
return (
|
||||
<Card size="small" title="Import Area Preview" style={{ marginTop: 12 }}>
|
||||
<div style={{ height: 250 }}>
|
||||
<MapContainer
|
||||
bounds={cutPreviewBounds}
|
||||
style={{ width: '100%', height: '100%' }}
|
||||
zoomControl={false}
|
||||
dragging={false}
|
||||
scrollWheelZoom={false}
|
||||
doubleClickZoom={false}
|
||||
touchZoom={false}
|
||||
boxZoom={false}
|
||||
keyboard={false}
|
||||
attributionControl={false}
|
||||
>
|
||||
<TileLayer url="https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png" />
|
||||
<FitBoundsUpdater bounds={cutPreviewBounds} />
|
||||
<Polygon
|
||||
positions={selectedCutGeoJson}
|
||||
pathOptions={{
|
||||
color: '#1890ff',
|
||||
weight: 2,
|
||||
fillColor: '#1890ff',
|
||||
fillOpacity: 0.15,
|
||||
}}
|
||||
/>
|
||||
</MapContainer>
|
||||
</div>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
|
||||
// No area configured yet
|
||||
return (
|
||||
<Card size="small" style={{ marginTop: 12 }}>
|
||||
<Text type="secondary" style={{ display: 'block', textAlign: 'center', padding: 16 }}>
|
||||
Select an area type above to see preview
|
||||
</Text>
|
||||
</Card>
|
||||
);
|
||||
};
|
||||
|
||||
// ─── Steps ─────────────────────────────────────────────────────────
|
||||
|
||||
const steps = [
|
||||
{
|
||||
title: 'Define Area',
|
||||
@ -202,22 +396,56 @@ export default function AreaImportWizard({ cuts, onComplete }: AreaImportWizardP
|
||||
{mapSettingsLoading ? (
|
||||
<Spin size="small" />
|
||||
) : mapSettings?.latitude && mapSettings?.longitude ? (
|
||||
<Card size="small">
|
||||
<Row gutter={16}>
|
||||
<Col span={8}>
|
||||
<Statistic title="Center Lat" value={Number(mapSettings.latitude).toFixed(4)} valueStyle={{ fontSize: 16 }} />
|
||||
</Col>
|
||||
<Col span={8}>
|
||||
<Statistic title="Center Lng" value={Number(mapSettings.longitude).toFixed(4)} valueStyle={{ fontSize: 16 }} />
|
||||
</Col>
|
||||
<Col span={8}>
|
||||
<Statistic title="Zoom" value={mapSettings.zoom ?? 13} valueStyle={{ fontSize: 16 }} />
|
||||
</Col>
|
||||
</Row>
|
||||
<Text type="secondary" style={{ fontSize: 12, marginTop: 8, display: 'block' }}>
|
||||
A bounding box will be derived from the map center and zoom level.
|
||||
</Text>
|
||||
</Card>
|
||||
<>
|
||||
<Card size="small">
|
||||
<Row gutter={16}>
|
||||
<Col span={6}>
|
||||
<Statistic title="Center Lat" value={Number(mapSettings.latitude).toFixed(4)} valueStyle={{ fontSize: 16 }} />
|
||||
</Col>
|
||||
<Col span={6}>
|
||||
<Statistic title="Center Lng" value={Number(mapSettings.longitude).toFixed(4)} valueStyle={{ fontSize: 16 }} />
|
||||
</Col>
|
||||
<Col span={6}>
|
||||
<Statistic title="Zoom" value={effectiveZoom} valueStyle={{ fontSize: 16 }} />
|
||||
</Col>
|
||||
<Col span={6}>
|
||||
<Statistic
|
||||
title="Area"
|
||||
value={viewportAreaSqKm ? viewportAreaSqKm.toFixed(0) : '—'}
|
||||
suffix="km2"
|
||||
valueStyle={{ fontSize: 16 }}
|
||||
/>
|
||||
</Col>
|
||||
</Row>
|
||||
</Card>
|
||||
|
||||
<div style={{ marginTop: 12 }}>
|
||||
<Text strong style={{ display: 'block', marginBottom: 4 }}>Zoom Level Override:</Text>
|
||||
<Select
|
||||
value={effectiveZoom}
|
||||
onChange={(val) => setZoomOverride(val)}
|
||||
style={{ width: '100%' }}
|
||||
options={[
|
||||
{ value: mapSettings.zoom ?? 13, label: `Map Settings Default (zoom ${mapSettings.zoom ?? 13})` },
|
||||
...ZOOM_PRESETS.filter((p) => p.value !== (mapSettings.zoom ?? 13)),
|
||||
]}
|
||||
/>
|
||||
<Text type="secondary" style={{ fontSize: 12, marginTop: 4, display: 'block' }}>
|
||||
Lower zoom = larger area. Use "City-wide" for full city imports.
|
||||
</Text>
|
||||
</div>
|
||||
|
||||
{viewportAreaSqKm !== null && viewportAreaSqKm < 50 && (
|
||||
<Alert
|
||||
message="Small Coverage Area"
|
||||
description={`This covers only ${viewportAreaSqKm.toFixed(0)} km2. Consider using a lower zoom level for city-wide imports.`}
|
||||
type="warning"
|
||||
showIcon
|
||||
icon={<WarningOutlined />}
|
||||
style={{ marginTop: 12 }}
|
||||
/>
|
||||
)}
|
||||
</>
|
||||
) : (
|
||||
<Alert
|
||||
message="Map settings not configured"
|
||||
@ -228,6 +456,8 @@ export default function AreaImportWizard({ cuts, onComplete }: AreaImportWizardP
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{renderPreviewMap()}
|
||||
</div>
|
||||
),
|
||||
},
|
||||
@ -479,6 +709,9 @@ export default function AreaImportWizard({ cuts, onComplete }: AreaImportWizardP
|
||||
{sp.candidatesFound > 0 && (
|
||||
<Text type="secondary">{sp.candidatesFound} found</Text>
|
||||
)}
|
||||
{sp.failedQuadrants && sp.failedQuadrants > 0 && (
|
||||
<Tag color="warning">{sp.failedQuadrants} quadrant(s) failed</Tag>
|
||||
)}
|
||||
</Space>
|
||||
{sp.message && (
|
||||
<Text type="secondary" style={{ display: 'block', marginLeft: 24, fontSize: 12 }}>
|
||||
|
||||
@ -198,7 +198,7 @@ export default function VolunteerMapPage() {
|
||||
};
|
||||
|
||||
// Zoom-based limits (from v1 optimization)
|
||||
const limit = zoom >= 15 ? 2000 : zoom >= 12 ? 1000 : 500;
|
||||
const limit = zoom >= 15 ? 5000 : zoom >= 12 ? 3000 : 1500;
|
||||
|
||||
clearTimeout(fetchTimerRef.current);
|
||||
fetchTimerRef.current = setTimeout(() => {
|
||||
|
||||
@ -1286,6 +1286,7 @@ export type AreaImportSourceStatus = 'pending' | 'running' | 'complete' | 'faile
|
||||
export interface AreaImportSourceProgress {
|
||||
status: AreaImportSourceStatus;
|
||||
candidatesFound: number;
|
||||
failedQuadrants?: number;
|
||||
message?: string;
|
||||
error?: string;
|
||||
}
|
||||
|
||||
@ -22,6 +22,7 @@ export type SourceStatus = 'pending' | 'running' | 'complete' | 'failed' | 'skip
|
||||
export interface AreaImportSourceProgress {
|
||||
status: SourceStatus;
|
||||
candidatesFound: number;
|
||||
failedQuadrants?: number;
|
||||
message?: string;
|
||||
error?: string;
|
||||
}
|
||||
@ -333,24 +334,28 @@ export const areaImportService = {
|
||||
progress.sources.osm.status = 'running';
|
||||
await updateProgress();
|
||||
try {
|
||||
const osmCandidates = await overpassService.queryArea(bounds, (msg) => {
|
||||
const osmResult = await overpassService.queryArea(bounds, (msg) => {
|
||||
progress.sources.osm.message = msg;
|
||||
writeProgress(importId, progress).catch(() => {});
|
||||
});
|
||||
|
||||
// Filter by cut polygon if applicable
|
||||
let filtered = osmCandidates;
|
||||
let filtered = osmResult.candidates;
|
||||
if (cutPolygons && cutPolygons.length > 0) {
|
||||
filtered = osmCandidates.filter((c) =>
|
||||
filtered = osmResult.candidates.filter((c) =>
|
||||
cutPolygons.some((ring) => isPointInPolygon(c.latitude, c.longitude, ring)),
|
||||
);
|
||||
}
|
||||
|
||||
allCandidates.push(...filtered);
|
||||
for (const c of filtered) allCandidates.push(c);
|
||||
progress.sources.osm.status = 'complete';
|
||||
progress.sources.osm.candidatesFound = filtered.length;
|
||||
if (osmResult.failedQuadrants > 0) {
|
||||
progress.sources.osm.failedQuadrants = osmResult.failedQuadrants;
|
||||
progress.sources.osm.message = `${filtered.length} found, ${osmResult.failedQuadrants} quadrant(s) failed`;
|
||||
}
|
||||
await updateProgress();
|
||||
logger.info(`OSM source: ${filtered.length} candidates (${osmCandidates.length} pre-filter)`);
|
||||
logger.info(`OSM source: ${filtered.length} candidates (${osmResult.candidates.length} pre-filter, ${osmResult.failedQuadrants} failed quadrants)`);
|
||||
} catch (err) {
|
||||
const msg = err instanceof Error ? err.message : 'Unknown error';
|
||||
progress.sources.osm.status = 'failed';
|
||||
@ -469,7 +474,7 @@ export const areaImportService = {
|
||||
}
|
||||
}
|
||||
|
||||
allCandidates.push(...narCandidates);
|
||||
for (const c of narCandidates) allCandidates.push(c);
|
||||
progress.sources.nar.status = 'complete';
|
||||
progress.sources.nar.candidatesFound = narCandidates.length;
|
||||
await updateProgress();
|
||||
@ -564,7 +569,7 @@ export const areaImportService = {
|
||||
await new Promise((resolve) => setTimeout(resolve, 1100));
|
||||
}
|
||||
|
||||
allCandidates.push(...rgCandidates);
|
||||
for (const c of rgCandidates) allCandidates.push(c);
|
||||
progress.sources.reverseGeocode.status = 'complete';
|
||||
progress.sources.reverseGeocode.candidatesFound = rgCandidates.length;
|
||||
await updateProgress();
|
||||
|
||||
@ -172,11 +172,12 @@ export const overpassService = {
|
||||
/**
|
||||
* Query all address data within a bounding box.
|
||||
* Automatically splits large areas into sub-quadrants.
|
||||
* Returns candidates and the number of quadrants that failed.
|
||||
*/
|
||||
async queryArea(
|
||||
bounds: { minLat: number; maxLat: number; minLng: number; maxLng: number },
|
||||
onProgress?: (msg: string) => void,
|
||||
): Promise<CandidateLocation[]> {
|
||||
): Promise<{ candidates: CandidateLocation[]; failedQuadrants: number }> {
|
||||
const area = areaSqDeg(bounds);
|
||||
|
||||
// If area is too large, split into quadrants and query each
|
||||
@ -184,20 +185,23 @@ export const overpassService = {
|
||||
const quadrants = splitBounds(bounds);
|
||||
const allCandidates: CandidateLocation[] = [];
|
||||
const totalQuadrants = quadrants.length;
|
||||
let failedQuadrants = 0;
|
||||
|
||||
for (let i = 0; i < totalQuadrants; i++) {
|
||||
onProgress?.(`Querying OSM quadrant ${i + 1}/${totalQuadrants}`);
|
||||
try {
|
||||
const subCandidates = await this.queryArea(quadrants[i]!, onProgress);
|
||||
allCandidates.push(...subCandidates);
|
||||
const result = await this.queryArea(quadrants[i]!, onProgress);
|
||||
for (const c of result.candidates) allCandidates.push(c);
|
||||
failedQuadrants += result.failedQuadrants;
|
||||
} catch (err) {
|
||||
const msg = err instanceof Error ? err.message : 'Unknown error';
|
||||
logger.warn(`Overpass quadrant ${i + 1} failed: ${msg}`);
|
||||
failedQuadrants++;
|
||||
// Continue with other quadrants
|
||||
}
|
||||
}
|
||||
|
||||
return allCandidates;
|
||||
return { candidates: allCandidates, failedQuadrants };
|
||||
}
|
||||
|
||||
const bbox = `${bounds.minLat},${bounds.minLng},${bounds.maxLat},${bounds.maxLng}`;
|
||||
@ -206,6 +210,6 @@ export const overpassService = {
|
||||
onProgress?.('Querying OSM addresses...');
|
||||
const data = await queryOverpass<OverpassResponse>(query);
|
||||
|
||||
return parseElements(data.elements);
|
||||
return { candidates: parseElements(data.elements), failedQuadrants: 0 };
|
||||
},
|
||||
};
|
||||
|
||||
291
media-manager/.env.example
Normal file
291
media-manager/.env.example
Normal file
@ -0,0 +1,291 @@
|
||||
# =============================================================================
|
||||
# REQUIRED SECRETS - You MUST change these before starting!
|
||||
# =============================================================================
|
||||
|
||||
# PostgreSQL password - REQUIRED
|
||||
# Generate: openssl rand -base64 24
|
||||
POSTGRES_PASSWORD=CHANGE_ME_REQUIRED
|
||||
|
||||
# JWT secret for authentication - REQUIRED (min 32 characters)
|
||||
# Generate: openssl rand -hex 32
|
||||
JWT_SECRET=CHANGE_ME_REQUIRED_MIN_32_CHARS
|
||||
|
||||
# Initial admin account (created on first startup if no admin exists)
|
||||
INITIAL_ADMIN_EMAIL=admin@example.com
|
||||
INITIAL_ADMIN_PASSWORD=ChangeMe123!
|
||||
|
||||
# SMTP Configuration (required for email verification and password reset)
|
||||
# Leave empty to disable email features (admin approval will be used instead)
|
||||
SMTP_HOST=smtp.example.com
|
||||
SMTP_PORT=587
|
||||
SMTP_SECURE=false
|
||||
SMTP_USER=your-smtp-username
|
||||
SMTP_PASS=your-smtp-password
|
||||
SMTP_FROM=noreply@example.com
|
||||
SMTP_FROM_NAME=Media Manager
|
||||
|
||||
# Email settings
|
||||
EMAIL_VERIFICATION_EXPIRY_HOURS=24
|
||||
PASSWORD_RESET_EXPIRY_HOURS=1
|
||||
|
||||
# Application URL (used in email links)
|
||||
APP_BASE_URL=http://localhost:3080
|
||||
|
||||
# CORS allowed origins (comma-separated)
|
||||
# Add your production domains here
|
||||
ALLOWED_ORIGINS=http://localhost:3080,http://localhost:8080
|
||||
|
||||
# Timezone for API server (logs and server-side timestamps)
|
||||
# See: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
|
||||
TZ=UTC
|
||||
|
||||
# Locale for date/time formatting (optional, defaults to browser locale)
|
||||
# Examples: en-US, en-GB, de-DE, fr-FR
|
||||
VITE_DEFAULT_LOCALE=
|
||||
|
||||
# =============================================================================
|
||||
# MAXMIND GEOIP CONFIGURATION (optional)
|
||||
# =============================================================================
|
||||
# Provides geographic location data for session analytics
|
||||
# Download GeoLite2-City.mmdb from: https://dev.maxmind.com/geoip/geolite2-free-geolocation-data
|
||||
# Place the file in ./data/GeoLite2-City.mmdb (mounted to /app/data in container)
|
||||
# Register for free account to download: https://www.maxmind.com/en/geolite2/signup
|
||||
|
||||
# =============================================================================
|
||||
# CONTENT SAFETY CONFIGURATION (requires --profile safety)
|
||||
# =============================================================================
|
||||
# Set to false to disable LLM-based content safety checking
|
||||
SAFETY_CHECK_ENABLED=true
|
||||
|
||||
# Admin email for high-severity content alerts (e.g., S4 Child Sexual Exploitation)
|
||||
# If not set, falls back to SMTP_FROM
|
||||
# Leave empty to disable high-severity email alerts
|
||||
ADMIN_ALERT_EMAIL=
|
||||
|
||||
# =============================================================================
|
||||
# OLLAMA CONFIGURATION
|
||||
# =============================================================================
|
||||
# Base URL for Ollama API (shared by safety and digest features)
|
||||
OLLAMA_BASE_URL=http://ollama:11434
|
||||
|
||||
# Content Safety Model (Llama Guard for chat moderation)
|
||||
OLLAMA_MODEL=llama-guard3:1b
|
||||
|
||||
# =============================================================================
|
||||
# DIGEST FEATURE MODELS (requires --profile digest)
|
||||
# =============================================================================
|
||||
# Video analysis pipeline using vision-language models and speech recognition
|
||||
#
|
||||
# Vision Model - analyzes video frames (requires vision-language model)
|
||||
# Used for: frame description, visual element detection, scene classification
|
||||
# Options:
|
||||
# - huihui_ai/qwen3-vl-abliterated:2b (uncensored, ~2GB VRAM) [RECOMMENDED]
|
||||
# - qwen2-vl:7b (censored, ~7GB VRAM)
|
||||
# - llava:7b (censored, ~7GB VRAM)
|
||||
DIGEST_VISION_MODEL=huihui_ai/qwen3-vl-abliterated:2b
|
||||
|
||||
# Text Model - synthesizes analysis results (text-only LLM)
|
||||
# Used for: tag extraction, transcript analysis, final synthesis
|
||||
# Options:
|
||||
# - huihui_ai/qwen3-abliterated:4b (uncensored, ~4GB VRAM) [RECOMMENDED]
|
||||
# - qwen2.5:7b (censored, ~7GB VRAM)
|
||||
# - llama3.1:8b (censored, ~8GB VRAM)
|
||||
DIGEST_TEXT_MODEL=huihui_ai/qwen3-abliterated:4b
|
||||
|
||||
# Digest service URLs
|
||||
DIGEST_OLLAMA_URL=http://ollama:11434
|
||||
DIGEST_WHISPER_URL=http://whisper:5000
|
||||
|
||||
# Frame extraction interval (seconds between frames)
|
||||
DIGEST_FRAME_INTERVAL=30
|
||||
|
||||
# =============================================================================
|
||||
# JOYCAPTION VISION BACKEND (requires --profile joycaption)
|
||||
# =============================================================================
|
||||
# Alternative to Ollama vision models - uses JoyCaption GGUF via llama.cpp
|
||||
# Better quality image captioning, fits on 6GB VRAM with Q3_K_M quantization
|
||||
#
|
||||
# Vision backend type: 'ollama' (default) or 'llama-server' (JoyCaption)
|
||||
DIGEST_VISION_BACKEND=ollama
|
||||
|
||||
# JoyCaption server URL (when using llama-server backend)
|
||||
JOYCAPTION_URL=http://joycaption:8080
|
||||
JOYCAPTION_MODEL=llama-joycaption-beta-one-hf-llava
|
||||
|
||||
# Fall back to Ollama vision if JoyCaption fails
|
||||
JOYCAPTION_FALLBACK_TO_OLLAMA=true
|
||||
|
||||
# JoyCaption model files (place in ./models directory)
|
||||
# Download from: https://huggingface.co/Mungert/llama-joycaption-beta-one-hf-llava-GGUF
|
||||
# Quantization options:
|
||||
# - Q2_K: ~3.2GB model, ~4GB VRAM (good quality, safest for 6GB GPU)
|
||||
# - Q3_K_M: ~4GB model, ~5GB VRAM (better quality, tight fit on 6GB)
|
||||
# - Q4_K_M: ~5GB model, ~6GB VRAM (best quality, needs 8GB+ GPU)
|
||||
JOYCAPTION_MODEL_PATH=/models/llama-joycaption-beta-one-hf-llava.Q2_K.gguf
|
||||
JOYCAPTION_MMPROJ_PATH=/models/llama-joycaption-beta-one-llava-mmproj-model-f16.gguf
|
||||
|
||||
# llama-server configuration
|
||||
JOYCAPTION_CTX_SIZE=4096
|
||||
JOYCAPTION_GPU_LAYERS=999
|
||||
JOYCAPTION_PARALLEL=1
|
||||
|
||||
# =============================================================================
|
||||
# WHISPER TRANSCRIPTION
|
||||
# =============================================================================
|
||||
# Model sizes: tiny, base, small, medium, large-v2, large-v3
|
||||
# Larger = more accurate but slower and more VRAM
|
||||
WHISPER_MODEL=base
|
||||
WHISPER_DEVICE=cuda
|
||||
WHISPER_COMPUTE=float16
|
||||
|
||||
# =============================================================================
|
||||
# OLLAMA AUTO-PULL MODELS
|
||||
# =============================================================================
|
||||
# Comma-separated list of models to pull on Ollama container startup
|
||||
# Include all models needed for your enabled features
|
||||
#
|
||||
# Safety profile only:
|
||||
# OLLAMA_MODELS=llama-guard3:1b
|
||||
#
|
||||
# Digest profile only:
|
||||
# OLLAMA_MODELS=huihui_ai/qwen3-vl-abliterated:2b,huihui_ai/qwen3-abliterated:4b
|
||||
#
|
||||
# Both profiles (recommended):
|
||||
OLLAMA_MODELS=llama-guard3:1b,huihui_ai/qwen3-vl-abliterated:2b,huihui_ai/qwen3-abliterated:4b
|
||||
|
||||
# =============================================================================
|
||||
# JOB QUEUE CONFIGURATION
|
||||
# =============================================================================
|
||||
# GPU resource management for preventing job conflicts
|
||||
# The system automatically queues GPU-intensive jobs to prevent VRAM exhaustion
|
||||
|
||||
# Maximum GPU VRAM in MB (default: 6000 for RTX 4050)
|
||||
# Adjust based on your GPU: RTX 3090 = 24000, RTX 4080 = 16000, etc.
|
||||
MAX_GPU_VRAM=6000
|
||||
|
||||
# =============================================================================
|
||||
# FFMPEG ENCODING CONCURRENCY
|
||||
# =============================================================================
|
||||
# Number of parallel FFmpeg encode sessions for clip/scene generation.
|
||||
# NVENC supports 3-5 concurrent sessions on consumer RTX GPUs (~200-400MB VRAM each).
|
||||
# Set to 1 to restore sequential behavior.
|
||||
FFMPEG_ENCODE_CONCURRENCY=2
|
||||
|
||||
# Disable job queue for immediate execution (legacy behavior)
|
||||
# Set to 'true' to bypass the queue manager entirely
|
||||
# DISABLE_JOB_QUEUE=false
|
||||
|
||||
# =============================================================================
|
||||
# INBOX FILE WATCHER CONFIGURATION
|
||||
# =============================================================================
|
||||
# Automatically watches inbox directory for new video files.
|
||||
# When a new file is fully written, it's scanned into the library
|
||||
# and optionally triggers auto-digest if auto_digest_enabled is true.
|
||||
|
||||
# Enable/disable file watcher (default: false, can also enable via admin UI)
|
||||
# Set to 'true' to auto-detect new files added to inbox directory
|
||||
FILE_WATCHER_ENABLED=false
|
||||
|
||||
# Time in ms to wait for file size to stabilize before processing (default: 2000)
|
||||
# Increase for slower network drives or when copying large files
|
||||
FILE_WATCHER_DEBOUNCE_MS=2000
|
||||
|
||||
# =============================================================================
|
||||
# CONTAINER LIFECYCLE CONFIGURATION
|
||||
# =============================================================================
|
||||
# By default, the system starts AI containers on-demand and stops them after use
|
||||
# to minimize VRAM usage. Set to 'true' to disable this behavior when all AI
|
||||
# containers are configured to run continuously (e.g., models fit in VRAM).
|
||||
#
|
||||
# When enabled:
|
||||
# - ensureContainerRunning() only checks health, doesn't start containers
|
||||
# - stopContainer() becomes a no-op, containers keep running
|
||||
# - You must manually start containers: docker compose --profile ai up -d
|
||||
DISABLE_CONTAINER_LIFECYCLE=false
|
||||
|
||||
# =============================================================================
|
||||
# COMBINED SCENE DETECTION CONFIGURATION
|
||||
# =============================================================================
|
||||
# Uses three methods: TransNetV2 (neural), PySceneDetect (histogram), CLIP (semantic)
|
||||
# Results are merged using configurable strategies for more accurate scene boundaries.
|
||||
#
|
||||
# Enable/disable combined detection (default: true)
|
||||
# When disabled, falls back to PySceneDetect only
|
||||
ENABLE_COMBINED_SCENE_DETECTION=true
|
||||
|
||||
# Merge strategy for combining cuts from multiple detectors
|
||||
# Options: weighted (default), union, intersection, majority
|
||||
# - weighted: Uses detector confidence weights (best balance)
|
||||
# - union: Include all cuts (most comprehensive, may over-segment)
|
||||
# - intersection: Only cuts from all 3 detectors (highest confidence)
|
||||
# - majority: Cuts from 2+ detectors
|
||||
SCENE_MERGE_STRATEGY=weighted
|
||||
|
||||
# Tolerance window for grouping cuts (seconds)
|
||||
# Cuts within this window are considered "the same" cut
|
||||
SCENE_MERGE_TOLERANCE=0.75
|
||||
|
||||
# Run GPU detectors in parallel (requires >12GB VRAM)
|
||||
# When false (default), runs sequentially: PyScene -> TransNet -> CLIP
|
||||
SCENE_DETECTION_PARALLEL=false
|
||||
|
||||
# Detector weights for weighted merge strategy
|
||||
# Higher weight = more trusted detector
|
||||
SCENE_WEIGHT_TRANSNET=1.0 # Neural network, best for soft transitions
|
||||
SCENE_WEIGHT_PYSCENEDETECT=0.8 # Histogram-based, fast, good for hard cuts
|
||||
SCENE_WEIGHT_CLIP=0.9 # Visual embeddings, semantic/content changes
|
||||
|
||||
# CLIP boundary detection configuration
|
||||
# Extracts frames at interval, computes embeddings, detects similarity drops
|
||||
CLIP_BOUNDARY_FRAME_INTERVAL=0.5 # Seconds between frames (0.5 = 2 fps)
|
||||
CLIP_BOUNDARY_SIMILARITY_THRESHOLD=0.7 # Below this = scene boundary (0-1)
|
||||
CLIP_BOUNDARY_MIN_GAP=2.0 # Minimum seconds between boundaries
|
||||
|
||||
# CLIP embeddings GPU batch size (default: 128)
|
||||
# Higher = faster processing, more VRAM usage
|
||||
# RTX 4050 6GB: safe up to 512, recommended 256
|
||||
# RTX 3090 24GB: can use 1024+
|
||||
CLIP_GPU_BATCH_SIZE=256
|
||||
|
||||
# Database path (inside container)
|
||||
DATABASE_URL=/app/data/library.db
|
||||
|
||||
# Media library paths (host paths)
|
||||
MEDIA_ROOT=/media/bunker-admin/Internal/plex/xxx/media
|
||||
MEDIA_LOCAL=/media/bunker-admin/Internal/plex/xxx/media/local
|
||||
MEDIA_PUBLIC=/media/bunker-admin/Internal/plex/xxx/media/public
|
||||
STUDIOS_PATH=/media/bunker-admin/Internal/plex/xxx/media/local/studios
|
||||
GIFS_PATH=/media/bunker-admin/Internal/plex/xxx/media/local/gifs
|
||||
PLAYBACK_PATH=/media/bunker-admin/Internal/plex/xxx/media/public/playback
|
||||
COMPILATIONS_PATH=/media/bunker-admin/Internal/plex/xxx/media/public/compilations
|
||||
PUBLIC_CURATED_PATH=/media/bunker-admin/Internal/plex/xxx/media/public/curated
|
||||
QUICKIES_PATH=/media/bunker-admin/Internal/plex/xxx/media/public/quickies
|
||||
|
||||
# =============================================================================
|
||||
# PAYMENT SYSTEM CONFIGURATION
|
||||
# =============================================================================
|
||||
# IMAP settings for automatic e-transfer email parsing
|
||||
# Leave empty to disable automatic payment polling (manual entry only)
|
||||
#
|
||||
# For Proton Mail: Requires Proton Mail Bridge running locally
|
||||
# PAYMENT_IMAP_HOST=127.0.0.1 (or host.docker.internal from container)
|
||||
# PAYMENT_IMAP_PORT=1143
|
||||
# PAYMENT_IMAP_TLS=false (Bridge uses STARTTLS)
|
||||
#
|
||||
# For Gmail: Enable "Less secure app access" or use App Password
|
||||
# PAYMENT_IMAP_HOST=imap.gmail.com
|
||||
# PAYMENT_IMAP_PORT=993
|
||||
# PAYMENT_IMAP_TLS=true
|
||||
#
|
||||
PAYMENT_IMAP_HOST=
|
||||
PAYMENT_IMAP_PORT=993
|
||||
PAYMENT_IMAP_USER=
|
||||
PAYMENT_IMAP_PASS=
|
||||
PAYMENT_IMAP_TLS=true
|
||||
|
||||
# How often to check for new payment emails (milliseconds)
|
||||
# Default: 60000 (1 minute)
|
||||
PAYMENT_POLL_INTERVAL_MS=60000
|
||||
|
||||
# Folder to move processed emails to (created automatically)
|
||||
PAYMENT_PROCESSED_FOLDER=Processed
|
||||
Loading…
x
Reference in New Issue
Block a user