rabbitmq:
  host: $RABBITMQ_HOST|localhost  # RabbitMQ host address
  port: $RABBITMQ_PORT|5672  # RabbitMQ host port
  user: $RABBITMQ_USERNAME|user  # RabbitMQ username
  password: $RABBITMQ_PASSWORD|bitnami  # RabbitMQ password
  heartbeat: $RABBITMQ_HEARTBEAT|7200  # Controls AMQP heartbeat timeout in seconds

  queues:
    input: image_request_queue  # Requests to service
    output: image_response_queue  # Responses by service
    dead_letter: image_dead_letter_queue  # Messages that failed to process

  prefetch_count: 1

  retry:  # Controls retry behaviour for messages the processing of which failed
    enabled: $RETRY|False  # Toggles retry behaviour
    max_attempts: $MAX_ATTEMPTS|3  # Number of times a message may fail before being published to dead letter queue

minio:
  endpoint: $STORAGE_ENDPOINT|"127.0.0.1:9000"  # MinIO endpoint
  user: $STORAGE_KEY|root  # MinIO user name
  password: $STORAGE_SECRET|password  # MinIO user password
  bucket: $STORAGE_BUCKET_NAME|redaction  # MinIO bucket

azure_blob_storage:
  connection_string: $STORAGE_AZURECONNECTIONSTRING|"DefaultEndpointsProtocol=https;AccountName=iqserdevelopment;AccountKey=4imAbV9PYXaztSOMpIyAClg88bAZCXuXMGJG0GA1eIBpdh2PlnFGoRBnKqLy2YZUSTmZ3wJfC7tzfHtuC6FEhQ==;EndpointSuffix=core.windows.net"
  container: $STORAGE_AZURECONTAINERNAME|"pyinfra-test-storage"

service:
  logging_level: $LOGGING_LEVEL_ROOT|DEBUG  # Logging level for service logger
  name: $SERVICE_NAME|pyinfra-service-v1  # Name of the service in the kubernetes cluster
  storage_backend: $STORAGE_BACKEND|s3  # The storage to pull files to be processed from
  analysis_endpoint: $ANALYSIS_ENDPOINT|"http://127.0.0.1:5000"

probing_webserver:
  host: $PROBING_WEBSERVER_HOST|"0.0.0.0"  # Probe webserver address
  port: $PROBING_WEBSERVER_PORT|8080  # Probe webserver port
  mode: $PROBING_WEBSERVER_MODE|production  # webserver mode: {development, production}