-- Analytical fact table: document_extractions
-- AI extraction outputs per document per company.
-- Partitioned by dt and model_version on MinIO.
-- Path: s3://stonks-lakehouse/warehouse/document_extractions/dt={yyyy-mm-dd}/model_version={ver}/part-*.parquet
-- Requirements: 5.3, 5.5, 9.4, 9.5, 10.1, 10.4
-- Design ref: Section 6.3, Section 7 (lake.document_extractions)

CREATE TABLE IF NOT EXISTS lakehouse.stonks.document_extractions (
    document_id       VARCHAR,
    ticker            VARCHAR,
    company_name      VARCHAR,
    relevance         DOUBLE,
    sentiment         VARCHAR,
    impact_score      DOUBLE,
    impact_horizon    VARCHAR,
    catalyst_type     VARCHAR,
    confidence        DOUBLE,
    novelty_score     DOUBLE,
    source_credibility DOUBLE,
    key_facts         VARCHAR,
    risks             VARCHAR,
    macro_themes      VARCHAR,
    model_name        VARCHAR,
    prompt_version    VARCHAR,
    schema_version    VARCHAR,
    extraction_at     TIMESTAMP(6) WITH TIME ZONE,
    dt                DATE,
    model_version     VARCHAR
) WITH (
    format = 'PARQUET',
    partitioned_by = ARRAY['dt', 'model_version'],
    external_location = 's3a://stonks-lakehouse/warehouse/document_extractions/'
);