import os from pathlib import Path from datetime import timedelta BASE_DIR = Path(__file__).resolve().parent.parent SECRET_KEY = 'REPLACE_ME_WITH_A_REAL_SECRET' REDIS_HOST = os.environ.get("REDIS_HOST", "localhost") REDIS_DB = os.environ.get("REDIS_DB", "0") # Set DEBUG to True for development, False for production if os.environ.get('DISPATCHARR_DEBUG', 'False').lower() == 'true': DEBUG = True else: DEBUG = False ALLOWED_HOSTS = ["*"] INSTALLED_APPS = [ 'apps.api', 'apps.accounts', 'apps.channels.apps.ChannelsConfig', 'apps.dashboard', 'apps.epg', 'apps.hdhr', 'apps.m3u', 'apps.output', 'apps.proxy.apps.ProxyConfig', 'apps.proxy.ts_proxy', 'core', 'daphne', 'drf_yasg', 'channels', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'rest_framework', 'corsheaders', 'django_filters', 'django_celery_beat', ] # EPG Processing optimization settings EPG_BATCH_SIZE = 1000 # Number of records to process in a batch EPG_MEMORY_LIMIT = 512 # Memory limit in MB before forcing garbage collection EPG_ENABLE_MEMORY_MONITORING = True # Whether to monitor memory usage during processing # Database optimization settings DATABASE_STATEMENT_TIMEOUT = 300 # Seconds before timing out long-running queries DATABASE_CONN_MAX_AGE = 60 # Connection max age in seconds, helps with frequent reconnects # Disable atomic requests for performance-sensitive views ATOMIC_REQUESTS = False # Cache settings - add caching for EPG operations CACHES = { 'default': { 'BACKEND': 'django.core.cache.backends.locmem.LocMemCache', 'LOCATION': 'dispatcharr-epg-cache', 'TIMEOUT': 3600, # 1 hour cache timeout 'OPTIONS': { 'MAX_ENTRIES': 10000, 'CULL_FREQUENCY': 3, # Purge 1/3 of entries when max is reached } } } # Timeouts for external connections REQUESTS_TIMEOUT = 30 # Seconds for external API requests MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'corsheaders.middleware.CorsMiddleware', ] ROOT_URLCONF = 'dispatcharr.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [ os.path.join(BASE_DIR, 'frontend/dist'), BASE_DIR / "templates" ], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ "django.template.context_processors.debug", "django.template.context_processors.request", "django.contrib.auth.context_processors.auth", "django.contrib.messages.context_processors.messages", ], }, }, ] WSGI_APPLICATION = 'dispatcharr.wsgi.application' ASGI_APPLICATION = 'dispatcharr.asgi.application' CHANNEL_LAYERS = { "default": { "BACKEND": "channels_redis.core.RedisChannelLayer", "CONFIG": { "hosts": [(REDIS_HOST, 6379, REDIS_DB)], # Ensure Redis is running }, }, } if os.getenv('DB_ENGINE', None) == 'sqlite': DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': '/data/dispatcharr.db', } } else: DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql', 'NAME': os.environ.get('POSTGRES_DB', 'dispatcharr'), 'USER': os.environ.get('POSTGRES_USER', 'dispatch'), 'PASSWORD': os.environ.get('POSTGRES_PASSWORD', 'secret'), 'HOST': os.environ.get('POSTGRES_HOST', 'localhost'), 'PORT': int(os.environ.get('POSTGRES_PORT', 5432)), } } AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, ] REST_FRAMEWORK = { 'DEFAULT_SCHEMA_CLASS': 'rest_framework.schemas.coreapi.AutoSchema', 'DEFAULT_RENDERER_CLASSES': [ 'rest_framework.renderers.JSONRenderer', 'rest_framework.renderers.BrowsableAPIRenderer', ], 'DEFAULT_AUTHENTICATION_CLASSES': [ 'rest_framework_simplejwt.authentication.JWTAuthentication', ], 'DEFAULT_FILTER_BACKENDS': ['django_filters.rest_framework.DjangoFilterBackend'], } SWAGGER_SETTINGS = { 'SECURITY_DEFINITIONS': { 'Bearer': { 'type': 'apiKey', 'name': 'Authorization', 'in': 'header' } } } LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_TZ = True STATIC_URL = '/static/' STATIC_ROOT = BASE_DIR / 'static' # Directory where static files will be collected # Adjust STATICFILES_DIRS to include the paths to the directories that contain your static files. STATICFILES_DIRS = [ os.path.join(BASE_DIR, 'frontend/dist'), # React build static files ] DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField' AUTH_USER_MODEL = 'accounts.User' CELERY_BROKER_URL = os.environ.get('CELERY_BROKER_URL', 'redis://localhost:6379/0') CELERY_RESULT_BACKEND = CELERY_BROKER_URL # Configure Redis key prefix CELERY_RESULT_BACKEND_TRANSPORT_OPTIONS = { 'global_keyprefix': 'celery-tasks:', # Set the Redis key prefix for Celery } # Set TTL (Time-to-Live) for task results (in seconds) CELERY_RESULT_EXPIRES = 3600 # 1 hour TTL for task results # Optionally, set visibility timeout for task retries (if using Redis) CELERY_BROKER_TRANSPORT_OPTIONS = { 'visibility_timeout': 3600, # Time in seconds that a task remains invisible during retries } CELERY_ACCEPT_CONTENT = ['json'] CELERY_TASK_SERIALIZER = 'json' CELERY_BEAT_SCHEDULER = "django_celery_beat.schedulers.DatabaseScheduler" CELERY_BEAT_SCHEDULE = { 'fetch-channel-statuses': { 'task': 'apps.proxy.tasks.fetch_channel_stats', # Direct task call 'schedule': 2.0, # Every 2 seconds }, 'scan-files': { 'task': 'core.tasks.scan_and_process_files', # Direct task call 'schedule': 20.0, # Every 20 seconds }, } MEDIA_ROOT = BASE_DIR / 'media' MEDIA_URL = '/media/' SERVER_IP = "127.0.0.1" CORS_ALLOW_ALL_ORIGINS = True CORS_ALLOW_CREDENTIALS = True CSRF_TRUSTED_ORIGINS = [ 'http://*', 'https://*' ] APPEND_SLASH = True SIMPLE_JWT = { 'ACCESS_TOKEN_LIFETIME': timedelta(minutes=30), 'REFRESH_TOKEN_LIFETIME': timedelta(days=1), 'ROTATE_REFRESH_TOKENS': False, # Optional: Whether to rotate refresh tokens 'BLACKLIST_AFTER_ROTATION': True, # Optional: Whether to blacklist refresh tokens } # Redis connection settings REDIS_URL = 'redis://localhost:6379/0' REDIS_SOCKET_TIMEOUT = 60 # Socket timeout in seconds REDIS_SOCKET_CONNECT_TIMEOUT = 5 # Connection timeout in seconds REDIS_HEALTH_CHECK_INTERVAL = 15 # Health check every 15 seconds REDIS_SOCKET_KEEPALIVE = True # Enable socket keepalive REDIS_RETRY_ON_TIMEOUT = True # Retry on timeout REDIS_MAX_RETRIES = 10 # Maximum number of retries REDIS_RETRY_INTERVAL = 1 # Initial retry interval in seconds # Proxy Settings PROXY_SETTINGS = { 'HLS': { 'DEFAULT_URL': '', # Default HLS stream URL if needed 'BUFFER_SIZE': 1000, 'USER_AGENT': 'VLC/3.0.20 LibVLC/3.0.20', 'CHUNK_SIZE': 8192, 'CLIENT_POLL_INTERVAL': 0.1, 'MAX_RETRIES': 3, 'MIN_SEGMENTS': 12, 'MAX_SEGMENTS': 16, 'WINDOW_SIZE': 12, 'INITIAL_SEGMENTS': 3, }, 'TS': { 'DEFAULT_URL': '', # Default TS stream URL if needed 'BUFFER_SIZE': 1000, 'RECONNECT_DELAY': 5, 'USER_AGENT': 'VLC/3.0.20 LibVLC/3.0.20', 'REDIS_CHUNK_TTL': 60, # How long to keep chunks in Redis (seconds) } } # Map log level names to their numeric values LOG_LEVEL_MAP = { 'TRACE': 5, 'DEBUG': 10, 'INFO': 20, 'WARNING': 30, 'ERROR': 40, 'CRITICAL': 50 } # Get log level from environment variable, default to INFO if not set # Add debugging output to see exactly what's being detected env_log_level = os.environ.get('DISPATCHARR_LOG_LEVEL', '') print(f"Environment DISPATCHARR_LOG_LEVEL detected as: '{env_log_level}'") if not env_log_level: print("No DISPATCHARR_LOG_LEVEL found in environment, using default INFO") LOG_LEVEL_NAME = 'INFO' else: LOG_LEVEL_NAME = env_log_level.upper() print(f"Setting log level to: {LOG_LEVEL_NAME}") LOG_LEVEL = LOG_LEVEL_MAP.get(LOG_LEVEL_NAME, 20) # Default to INFO (20) if invalid # Add this to your existing LOGGING configuration or create one if it doesn't exist LOGGING = { 'version': 1, 'disable_existing_loggers': False, 'formatters': { 'verbose': { 'format': '{asctime} {levelname} {name} {message}', 'style': '{', }, }, 'handlers': { 'console': { 'class': 'logging.StreamHandler', 'formatter': 'verbose', 'level': 5, # Always allow TRACE level messages through the handler }, }, 'loggers': { 'core.tasks': { 'handlers': ['console'], 'level': LOG_LEVEL, # Use environment-configured level 'propagate': False, # Don't propagate to root logger to avoid duplicate logs }, 'core.utils': { 'handlers': ['console'], 'level': LOG_LEVEL, 'propagate': False, }, 'apps.proxy': { 'handlers': ['console'], 'level': LOG_LEVEL, # Use environment-configured level 'propagate': False, # Don't propagate to root logger }, # Add parent logger for all app modules 'apps': { 'handlers': ['console'], 'level': LOG_LEVEL, 'propagate': False, }, # Celery loggers to capture task execution messages 'celery': { 'handlers': ['console'], 'level': LOG_LEVEL, # Use configured log level for Celery logs 'propagate': False, }, 'celery.task': { 'handlers': ['console'], 'level': LOG_LEVEL, # Use configured log level for task-specific logs 'propagate': False, }, 'celery.worker': { 'handlers': ['console'], 'level': LOG_LEVEL, # Use configured log level for worker logs 'propagate': False, }, 'celery.beat': { 'handlers': ['console'], 'level': LOG_LEVEL, # Use configured log level for scheduler logs 'propagate': False, }, # Add any other loggers you need to capture TRACE logs from }, 'root': { 'handlers': ['console'], 'level': LOG_LEVEL, # Use user-configured level instead of hardcoded 'INFO' }, }