phase 14-15: docker build validation and helm deployment
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-- Analytical fact table: model_performance
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-- Tracks extraction model performance for Trino/Superset dashboards.
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-- Partitioned by dt and model_name on MinIO.
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-- Path: s3://stonks-lakehouse/warehouse/model_performance/dt={yyyy-mm-dd}/model_name={name}/part-*.parquet
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-- Requirements: 12.1, 12.2
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CREATE TABLE IF NOT EXISTS lakehouse.stonks.model_performance (
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document_id VARCHAR,
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ticker VARCHAR,
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model_name VARCHAR,
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prompt_version VARCHAR,
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schema_version VARCHAR,
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success BOOLEAN,
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attempt_count INTEGER,
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total_duration_ms INTEGER,
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first_attempt_duration_ms INTEGER,
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final_attempt_duration_ms INTEGER,
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confidence DOUBLE,
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validation_status VARCHAR,
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validation_error_count INTEGER,
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validation_warning_count INTEGER,
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retry_count INTEGER,
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input_token_estimate INTEGER,
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output_token_estimate INTEGER,
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company_count INTEGER,
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recorded_at TIMESTAMP(6) WITH TIME ZONE,
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dt DATE,
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model_version VARCHAR
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) WITH (
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format = 'PARQUET',
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partitioned_by = ARRAY['dt', 'model_version'],
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external_location = 's3a://stonks-lakehouse/warehouse/model_performance/'
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);
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