39 lines
1.9 KiB
YAML
Executable File
39 lines
1.9 KiB
YAML
Executable File
rabbitmq:
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host: $RABBITMQ_HOST|localhost # RabbitMQ host address
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port: $RABBITMQ_PORT|5672 # RabbitMQ host port
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user: $RABBITMQ_USERNAME|user # RabbitMQ username
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password: $RABBITMQ_PASSWORD|bitnami # RabbitMQ password
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heartbeat: $RABBITMQ_HEARTBEAT|7200 # Controls AMQP heartbeat timeout in seconds
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queues:
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input: image_request_queue # Requests to service
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output: image_response_queue # Responses by service
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dead_letter: image_dead_letter_queue # Messages that failed to process
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prefetch_count: 1
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retry: # Controls retry behaviour for messages the processing of which failed
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enabled: $RETRY|False # Toggles retry behaviour
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max_attempts: $MAX_ATTEMPTS|3 # Number of times a message may fail before being published to dead letter queue
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minio:
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endpoint: $STORAGE_ENDPOINT|"127.0.0.1:9000" # MinIO host address
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user: $STORAGE_KEY|root # MinIO user name
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password: $STORAGE_SECRET|password # MinIO user password
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bucket: $STORAGE_BUCKET_NAME|redaction # MinIO bucket
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azure_blob_storage:
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connection_string: $STORAGE_AZURECONNECTIONSTRING|"DefaultEndpointsProtocol=https;AccountName=iqserdevelopment;AccountKey=4imAbV9PYXaztSOMpIyAClg88bAZCXuXMGJG0GA1eIBpdh2PlnFGoRBnKqLy2YZUSTmZ3wJfC7tzfHtuC6FEhQ==;EndpointSuffix=core.windows.net"
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container: $STORAGE_AZURECONTAINERNAME|"pyinfra-test-storage"
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service:
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logging_level: $LOGGING_LEVEL_ROOT|DEBUG # Logging level for service logger
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name: $SERVICE_NAME|pyinfra-service-v1 # Name of the service in the kubernetes cluster
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storage_backend: $STORAGE_BACKEND|s3 # The storage to pull files to be processed from
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analysis_endpoint: $ANALYSIS_ENDPOINT|"http://127.0.0.1:5000"
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probing_webserver:
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host: $PROBING_WEBSERVER_HOST|"0.0.0.0" # Probe webserver address
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port: $PROBING_WEBSERVER_PORT|8080 # Probe webserver port
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mode: $PROBING_WEBSERVER_MODE|production # webserver mode: {development, production}
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