62 lines
1.2 KiB
YAML
62 lines
1.2 KiB
YAML
# Fetch ML Configuration Example for PostgreSQL
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# This example shows how to configure Fetch ML to use PostgreSQL as the database
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base_path: "./data/experiments"
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auth:
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enabled: true
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api_keys:
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admin:
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hash: "5e884898da28047151d0e56f8dc6292773603d0d6aabbdd5f8b6c8b0b4f0b8e3" # "password"
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admin: true
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roles: ["admin"]
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permissions:
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"*": true
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server:
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address: ":9101"
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tls:
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enabled: false
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database:
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type: "postgres"
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host: "localhost"
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port: 5432
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username: "fetchml"
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password: "your_password_here"
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database: "fetchml"
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# Alternatively, you can use a full connection string:
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# connection: "postgres://fetchml:your_password_here@localhost:5432/fetchml?sslmode=disable"
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redis:
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addr: "localhost:6379"
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password: ""
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db: 0
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logging:
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level: "info"
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file: ""
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audit_log: ""
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security:
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production_mode: false
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rate_limit:
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enabled: false
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requests_per_minute: 60
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burst_size: 10
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ip_whitelist: []
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monitoring:
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prometheus:
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enabled: true
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port: 9101
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path: "/metrics"
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health_checks:
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enabled: true
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interval: "30s"
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resources:
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max_workers: 1
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desired_rps_per_worker: 2
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podman_cpus: "2"
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podman_memory: "4Gi"
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