mirror of
https://github.com/Dispatcharr/Dispatcharr.git
synced 2026-01-23 10:45:27 +00:00
351 lines
11 KiB
Python
351 lines
11 KiB
Python
import os
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from pathlib import Path
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from datetime import timedelta
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BASE_DIR = Path(__file__).resolve().parent.parent
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SECRET_KEY = "REPLACE_ME_WITH_A_REAL_SECRET"
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REDIS_HOST = os.environ.get("REDIS_HOST", "localhost")
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REDIS_DB = os.environ.get("REDIS_DB", "0")
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# Set DEBUG to True for development, False for production
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if os.environ.get("DISPATCHARR_DEBUG", "False").lower() == "true":
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DEBUG = True
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else:
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DEBUG = False
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ALLOWED_HOSTS = ["*"]
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SECURE_PROXY_SSL_HEADER = ("HTTP_X_FORWARDED_PROTO", "https")
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INSTALLED_APPS = [
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"apps.api",
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"apps.accounts",
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"apps.channels.apps.ChannelsConfig",
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"apps.dashboard",
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"apps.epg",
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"apps.hdhr",
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"apps.m3u",
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"apps.output",
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"apps.proxy.apps.ProxyConfig",
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"apps.proxy.ts_proxy",
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"apps.vod.apps.VODConfig",
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"core",
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"daphne",
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"drf_yasg",
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"channels",
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"django.contrib.admin",
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"django.contrib.auth",
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"django.contrib.contenttypes",
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"django.contrib.sessions",
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"django.contrib.messages",
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"django.contrib.staticfiles",
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"rest_framework",
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"corsheaders",
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"django_filters",
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"django_celery_beat",
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]
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# EPG Processing optimization settings
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EPG_BATCH_SIZE = 1000 # Number of records to process in a batch
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EPG_MEMORY_LIMIT = 512 # Memory limit in MB before forcing garbage collection
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EPG_ENABLE_MEMORY_MONITORING = True # Whether to monitor memory usage during processing
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# Database optimization settings
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DATABASE_STATEMENT_TIMEOUT = 300 # Seconds before timing out long-running queries
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DATABASE_CONN_MAX_AGE = (
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60 # Connection max age in seconds, helps with frequent reconnects
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)
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# Disable atomic requests for performance-sensitive views
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ATOMIC_REQUESTS = False
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# Cache settings - add caching for EPG operations
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CACHES = {
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"default": {
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"BACKEND": "django.core.cache.backends.locmem.LocMemCache",
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"LOCATION": "dispatcharr-epg-cache",
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"TIMEOUT": 3600, # 1 hour cache timeout
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"OPTIONS": {
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"MAX_ENTRIES": 10000,
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"CULL_FREQUENCY": 3, # Purge 1/3 of entries when max is reached
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},
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}
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}
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# Timeouts for external connections
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REQUESTS_TIMEOUT = 30 # Seconds for external API requests
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MIDDLEWARE = [
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"django.middleware.security.SecurityMiddleware",
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"django.contrib.sessions.middleware.SessionMiddleware",
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"django.middleware.common.CommonMiddleware",
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"django.middleware.csrf.CsrfViewMiddleware",
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"django.contrib.auth.middleware.AuthenticationMiddleware",
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"django.contrib.messages.middleware.MessageMiddleware",
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"django.middleware.clickjacking.XFrameOptionsMiddleware",
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"corsheaders.middleware.CorsMiddleware",
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]
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ROOT_URLCONF = "dispatcharr.urls"
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TEMPLATES = [
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{
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"BACKEND": "django.template.backends.django.DjangoTemplates",
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"DIRS": [os.path.join(BASE_DIR, "frontend/dist"), BASE_DIR / "templates"],
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"APP_DIRS": True,
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"OPTIONS": {
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"context_processors": [
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"django.template.context_processors.debug",
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"django.template.context_processors.request",
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"django.contrib.auth.context_processors.auth",
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"django.contrib.messages.context_processors.messages",
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],
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},
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},
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]
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WSGI_APPLICATION = "dispatcharr.wsgi.application"
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ASGI_APPLICATION = "dispatcharr.asgi.application"
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CHANNEL_LAYERS = {
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"default": {
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"BACKEND": "channels_redis.core.RedisChannelLayer",
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"CONFIG": {
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"hosts": [(REDIS_HOST, 6379, REDIS_DB)], # Ensure Redis is running
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},
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},
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}
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if os.getenv("DB_ENGINE", None) == "sqlite":
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DATABASES = {
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"default": {
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"ENGINE": "django.db.backends.sqlite3",
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"NAME": "/data/dispatcharr.db",
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}
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}
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else:
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DATABASES = {
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"default": {
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"ENGINE": "django.db.backends.postgresql",
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"NAME": os.environ.get("POSTGRES_DB", "dispatcharr"),
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"USER": os.environ.get("POSTGRES_USER", "dispatch"),
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"PASSWORD": os.environ.get("POSTGRES_PASSWORD", "secret"),
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"HOST": os.environ.get("POSTGRES_HOST", "localhost"),
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"PORT": int(os.environ.get("POSTGRES_PORT", 5432)),
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}
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}
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AUTH_PASSWORD_VALIDATORS = [
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{
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"NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator",
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},
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]
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REST_FRAMEWORK = {
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"DEFAULT_SCHEMA_CLASS": "rest_framework.schemas.coreapi.AutoSchema",
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"DEFAULT_RENDERER_CLASSES": [
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"rest_framework.renderers.JSONRenderer",
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"rest_framework.renderers.BrowsableAPIRenderer",
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],
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"DEFAULT_AUTHENTICATION_CLASSES": [
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"rest_framework_simplejwt.authentication.JWTAuthentication",
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],
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"DEFAULT_FILTER_BACKENDS": ["django_filters.rest_framework.DjangoFilterBackend"],
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}
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SWAGGER_SETTINGS = {
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"SECURITY_DEFINITIONS": {
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"Bearer": {"type": "apiKey", "name": "Authorization", "in": "header"}
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}
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}
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LANGUAGE_CODE = "en-us"
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TIME_ZONE = "UTC"
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USE_I18N = True
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USE_TZ = True
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STATIC_URL = "/static/"
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STATIC_ROOT = BASE_DIR / "static" # Directory where static files will be collected
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# Adjust STATICFILES_DIRS to include the paths to the directories that contain your static files.
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STATICFILES_DIRS = [
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os.path.join(BASE_DIR, "frontend/dist"), # React build static files
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]
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DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField"
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AUTH_USER_MODEL = "accounts.User"
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CELERY_BROKER_URL = os.environ.get("CELERY_BROKER_URL", "redis://localhost:6379/0")
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CELERY_RESULT_BACKEND = CELERY_BROKER_URL
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# Configure Redis key prefix
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CELERY_RESULT_BACKEND_TRANSPORT_OPTIONS = {
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"global_keyprefix": "celery-tasks:", # Set the Redis key prefix for Celery
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}
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# Set TTL (Time-to-Live) for task results (in seconds)
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CELERY_RESULT_EXPIRES = 3600 # 1 hour TTL for task results
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# Optionally, set visibility timeout for task retries (if using Redis)
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CELERY_BROKER_TRANSPORT_OPTIONS = {
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"visibility_timeout": 3600, # Time in seconds that a task remains invisible during retries
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}
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CELERY_ACCEPT_CONTENT = ["json"]
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CELERY_TASK_SERIALIZER = "json"
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CELERY_BEAT_SCHEDULER = "django_celery_beat.schedulers.DatabaseScheduler"
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CELERY_BEAT_SCHEDULE = {
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"fetch-channel-statuses": {
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"task": "apps.proxy.tasks.fetch_channel_stats", # Direct task call
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"schedule": 2.0, # Every 2 seconds
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},
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"scan-files": {
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"task": "core.tasks.scan_and_process_files", # Direct task call
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"schedule": 20.0, # Every 20 seconds
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},
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}
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MEDIA_ROOT = BASE_DIR / "media"
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MEDIA_URL = "/media/"
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SERVER_IP = "127.0.0.1"
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CORS_ALLOW_ALL_ORIGINS = True
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CORS_ALLOW_CREDENTIALS = True
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CSRF_TRUSTED_ORIGINS = ["http://*", "https://*"]
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APPEND_SLASH = True
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SIMPLE_JWT = {
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"ACCESS_TOKEN_LIFETIME": timedelta(minutes=30),
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"REFRESH_TOKEN_LIFETIME": timedelta(days=1),
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"ROTATE_REFRESH_TOKENS": False, # Optional: Whether to rotate refresh tokens
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"BLACKLIST_AFTER_ROTATION": True, # Optional: Whether to blacklist refresh tokens
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}
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# Redis connection settings
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REDIS_URL = "redis://localhost:6379/0"
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REDIS_SOCKET_TIMEOUT = 60 # Socket timeout in seconds
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REDIS_SOCKET_CONNECT_TIMEOUT = 5 # Connection timeout in seconds
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REDIS_HEALTH_CHECK_INTERVAL = 15 # Health check every 15 seconds
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REDIS_SOCKET_KEEPALIVE = True # Enable socket keepalive
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REDIS_RETRY_ON_TIMEOUT = True # Retry on timeout
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REDIS_MAX_RETRIES = 10 # Maximum number of retries
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REDIS_RETRY_INTERVAL = 1 # Initial retry interval in seconds
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# Proxy Settings
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PROXY_SETTINGS = {
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"HLS": {
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"DEFAULT_URL": "", # Default HLS stream URL if needed
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"BUFFER_SIZE": 1000,
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"USER_AGENT": "VLC/3.0.20 LibVLC/3.0.20",
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"CHUNK_SIZE": 8192,
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"CLIENT_POLL_INTERVAL": 0.1,
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"MAX_RETRIES": 3,
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"MIN_SEGMENTS": 12,
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"MAX_SEGMENTS": 16,
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"WINDOW_SIZE": 12,
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"INITIAL_SEGMENTS": 3,
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},
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"TS": {
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"DEFAULT_URL": "", # Default TS stream URL if needed
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"BUFFER_SIZE": 1000,
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"RECONNECT_DELAY": 5,
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"USER_AGENT": "VLC/3.0.20 LibVLC/3.0.20",
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},
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}
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# Map log level names to their numeric values
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LOG_LEVEL_MAP = {
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"TRACE": 5,
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"DEBUG": 10,
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"INFO": 20,
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"WARNING": 30,
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"ERROR": 40,
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"CRITICAL": 50,
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}
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# Get log level from environment variable, default to INFO if not set
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# Add debugging output to see exactly what's being detected
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env_log_level = os.environ.get("DISPATCHARR_LOG_LEVEL", "")
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print(f"Environment DISPATCHARR_LOG_LEVEL detected as: '{env_log_level}'")
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if not env_log_level:
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print("No DISPATCHARR_LOG_LEVEL found in environment, using default INFO")
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LOG_LEVEL_NAME = "INFO"
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else:
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LOG_LEVEL_NAME = env_log_level.upper()
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print(f"Setting log level to: {LOG_LEVEL_NAME}")
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LOG_LEVEL = LOG_LEVEL_MAP.get(LOG_LEVEL_NAME, 20) # Default to INFO (20) if invalid
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# Add this to your existing LOGGING configuration or create one if it doesn't exist
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LOGGING = {
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"version": 1,
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"disable_existing_loggers": False,
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"formatters": {
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"verbose": {
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"format": "{asctime} {levelname} {name} {message}",
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"style": "{",
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},
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},
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"handlers": {
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"console": {
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"class": "logging.StreamHandler",
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"formatter": "verbose",
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"level": 5, # Always allow TRACE level messages through the handler
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},
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},
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"loggers": {
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"core.tasks": {
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"handlers": ["console"],
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"level": LOG_LEVEL, # Use environment-configured level
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"propagate": False, # Don't propagate to root logger to avoid duplicate logs
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},
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"core.utils": {
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"handlers": ["console"],
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"level": LOG_LEVEL,
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"propagate": False,
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},
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"apps.proxy": {
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"handlers": ["console"],
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"level": LOG_LEVEL, # Use environment-configured level
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"propagate": False, # Don't propagate to root logger
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},
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# Add parent logger for all app modules
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"apps": {
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"handlers": ["console"],
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"level": LOG_LEVEL,
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"propagate": False,
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},
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# Celery loggers to capture task execution messages
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"celery": {
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"handlers": ["console"],
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"level": LOG_LEVEL, # Use configured log level for Celery logs
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"propagate": False,
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},
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"celery.task": {
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"handlers": ["console"],
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"level": LOG_LEVEL, # Use configured log level for task-specific logs
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"propagate": False,
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},
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"celery.worker": {
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"handlers": ["console"],
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"level": LOG_LEVEL, # Use configured log level for worker logs
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"propagate": False,
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},
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"celery.beat": {
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"handlers": ["console"],
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"level": LOG_LEVEL, # Use configured log level for scheduler logs
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"propagate": False,
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},
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# Add any other loggers you need to capture TRACE logs from
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},
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"root": {
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"handlers": ["console"],
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"level": LOG_LEVEL, # Use user-configured level instead of hardcoded 'INFO'
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},
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}
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