refactoring: add initial pipeline configuration and model classes
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# Production Environment Configuration
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# Optimized settings for production deployment
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name: "drc_names_pipeline"
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version: "1.0.0"
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environment: "production"
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debug: false
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# Production processing settings (optimized for performance)
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processing:
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batch_size: 10_000
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max_workers: 8
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checkpoint_interval: 10
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use_multiprocessing: true # Enable multiprocessing for CPU-bound tasks
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# Pipeline stages
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stages:
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- "data_cleaning"
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- "feature_extraction"
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- "llm_annotation"
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- "data_splitting"
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# Production LLM settings
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llm:
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model_name: "mistral:7b"
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requests_per_minute: 360
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requests_per_second: 3
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retry_attempts: 3
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timeout_seconds: 45
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max_concurrent_requests: 4
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enable_rate_limiting: true
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# Production data settings
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data:
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split_evaluation: true
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split_by_gender: true
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evaluation_fraction: 0.2
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random_seed: 42
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# Production logging (less verbose)
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logging:
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level: "INFO"
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console_logging: false # Disable console in production
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file_logging: true
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log_file: "pipeline.production.log"
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max_log_size: 52428800 # 50MB
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backup_count: 10
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