refactor(docker): improve server architecture and configuration
Complete overhaul of Docker deployment setup with improved architecture: - Add Redis integration for task management - Implement rate limiting and security middleware - Add Prometheus metrics and health checks - Improve error handling and logging - Add support for streaming responses - Implement proper configuration management - Add platform-specific optimizations for ARM64/AMD64 BREAKING CHANGE: Docker deployment now requires Redis and new config.yml structure
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deploy/docker/config.yml
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deploy/docker/config.yml
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# Application Configuration
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app:
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title: "Crawl4AI API"
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version: "1.0.0"
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host: "0.0.0.0"
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port: 8000
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reload: True
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timeout_keep_alive: 300
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# Default LLM Configuration
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llm:
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provider: "openai/gpt-4o-mini"
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api_key_env: "OPENAI_API_KEY"
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# Redis Configuration
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redis:
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host: "localhost"
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port: 6379
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db: 0
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password: ""
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ssl: False
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ssl_cert_reqs: None
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ssl_ca_certs: None
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ssl_certfile: None
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ssl_keyfile: None
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ssl_cert_reqs: None
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ssl_ca_certs: None
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ssl_certfile: None
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ssl_keyfile: None
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# Rate Limiting Configuration
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rate_limiting:
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enabled: True
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default_limit: "1000/minute"
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trusted_proxies: []
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storage_uri: "memory://" # Use "redis://localhost:6379" for production
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# Security Configuration
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security:
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enabled: false
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https_redirect: True
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trusted_hosts: ["*"]
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headers:
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x_content_type_options: "nosniff"
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x_frame_options: "DENY"
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content_security_policy: "default-src 'self'"
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strict_transport_security: "max-age=63072000; includeSubDomains"
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# Crawler Configuration
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crawler:
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memory_threshold_percent: 95.0
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rate_limiter:
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base_delay: [1.0, 2.0]
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timeouts:
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stream_init: 30.0 # Timeout for stream initialization
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batch_process: 300.0 # Timeout for batch processing
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# Logging Configuration
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logging:
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level: "INFO"
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format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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# Observability Configuration
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observability:
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prometheus:
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enabled: True
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endpoint: "/metrics"
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health_check:
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endpoint: "/health"
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