anonflow/config.yml.example

app:
  # Primary bot language.
  # Used by the bot in moderation chats by default.
  language: ru

  # Language used when a user is not found in the database
  # and their preferred language cannot be determined.
  fallback_language: ru

bot:
  # Telegram bot token, passed via environment variable BOT_TOKEN.
  # Used by aiogram to connect to the Telegram Bot API.
  token: ${BOT_TOKEN}

  # HTTP timeout (in seconds) for requests made by aiogram to Telegram.
  # aiogram internally handles retries on some network errors; this value
  # only defines how long a single HTTP request may take before timing out.
  timeout: 15

  behavior:
    throttling:
      # Enable/disable throttling for user-submitted posts.
      # When enabled, each user must wait `delay` seconds between submissions.
      enabled: true

      # Minimal delay (in seconds) between two post submissions from the same user.
      # The delay is measured between the moments when the user's requests are processed by the bot.
      delay: 120

    subscription_requirement:
      # Require users to be subscribed to specific Telegram channels before they can use the bot.
      # If enabled, the bot checks subscription status for each user action.
      enabled: false

      # List of Telegram chat_ids (channels) that the user must be subscribed to.
      channel_ids: []

  forwarding:
    # Telegram chat_id where decisions of the moderation module are sent.
    # Typically this is a chat for moderators that receive moderation results.
    moderation_chat_id: null

    # Telegram chat_ids where approved posts are published.
    # Once approved, messages are forwarded to all configured publication channels.
    publication_channel_ids: []

    # List of Telegram message types that are handled and can be forwarded
    # by the bot: text messages, photos, videos, etc.
    # Types correspond to Telegram message content types.
    types:
      - text
      - photo
      - video

database:
  # SQLAlchemy database backend/driver.
  # Any backend supported by SQLAlchemy can be used.
  backend: ${DB_BACKEND}

  # Database name or path:
  # - For server databases (Postgres, MySQL, etc.): logical DB name.
  # - For SQLite: filesystem path to the DB file.
  # For SQLite, all other connection fields (host, port, username, password) are ignored.
  name_or_path: ${DB_NAME_OR_PATH}

  # Database host (server address). Used for server databases only.
  # Ignored for SQLite.
  host: ${DB_HOST}

  # Database port. Used for server databases only.
  # Ignored for SQLite.
  port: ${DB_PORT}

  # Database user name. Used for server databases only.
  # Ignored for SQLite.
  username: ${DB_USERNAME}

  # Database user password. Used for server databases only.
  # Ignored for SQLite.
  password: ${DB_PASSWORD}

  migrations:
    # Migrations backend. Project uses Alembic for schema migrations.
    # Alembic is configured to work with the same SQLAlchemy URL.
    backend: ${DB_MIGRATIONS_BACKEND}

openai:
  # OpenAI API key used by the client.
  # Can be provided via OPENAI_API_KEY environment variable.
  api_key: ${OPENAI_API_KEY}

  # Base URL for the OpenAI API.
  # Override this value to use a compatible API endpoint
  # If null, the default OpenAI API endpoint is used.
  base_url: null

  # Proxy URL used for HTTP requests to the OpenAI API.
  # If null, no proxy is configured and system network settings are used.
  proxy: null

  # HTTP timeout (in seconds) for requests made.
  # If a request exceeds this timeout, the client considers it failed and
  # may retry according to `max_retries`.
  timeout: 30

  # Maximum number of retry attempts for OpenAI requests when
  # a timeout or other transient error occurs. If all attempts fail,
  # an exception is raised and handled by the application code.
  max_retries: 2

moderation:
  # Enable/disable automatic content moderation. If disabled, messages
  # are not checked by any OpenAI moderation models and are sent directly
  # to the configured moderation and/or publication chats.
  enabled: true

  # Name of the OpenAI model used for moderation.
  # This is a real model name and is passed directly
  # to the OpenAI SDK when performing moderation checks.
  model: gpt-5-mini

  # Types of moderation flows that are enabled:
  # - "omni": use omni-moderation (specialized moderation model).
  # - "gpt": use a ChatGPT model to analyze/check content.
  # Both flows rely on the OpenAI SDK, and the type determines which
  # moderation strategy is applied for a given request.
  types:
    - omni
    - gpt

logging:
  # Global logging level for the application.
  # Typical values: DEBUG, INFO, WARNING, ERROR, CRITICAL.
  level: INFO
  
  # Log message format string.
  # Fields:
  # - %(asctime)s  : timestamp (formatted with date_fmt)
  # - %(msecs)03d  : milliseconds
  # - %(levelname)s: log level
  # - %(name)s     : logger name
  # - %(message)s  : log message text
  fmt: '%(asctime)s.%(msecs)03d %(levelname)s [%(name)s] %(message)s'

  # Date/time format for %(asctime)s (strftime syntax).
  # Example output: 2024-01-01 12:34:56
  date_fmt: '%Y-%m-%d %H:%M:%S'