b5e91d9d0d
No production instances exist, so safe to rewrite from scratch. Drops columns that were added then removed (notes, password_hash, cup rating), standardises timestamp format and primary key style, and creates all tables in their final form without incremental ALTER TABLE churn.
30 lines
1.1 KiB
SQL
30 lines
1.1 KiB
SQL
-- Timeline events and AI usage tracking
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CREATE TABLE timeline_events (
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id INTEGER PRIMARY KEY,
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entity_type TEXT NOT NULL CHECK (entity_type IN ('roaster', 'roast', 'bag', 'gear', 'brew', 'cafe', 'cup')),
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entity_id INTEGER NOT NULL,
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action TEXT NOT NULL,
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occurred_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now')),
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title TEXT NOT NULL,
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details_json TEXT,
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tasting_notes_json TEXT,
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slug TEXT,
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roaster_slug TEXT,
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brew_data_json TEXT
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);
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CREATE INDEX idx_timeline_events_entity ON timeline_events(entity_type, entity_id);
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CREATE INDEX idx_timeline_events_occurred_at ON timeline_events(occurred_at DESC);
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CREATE TABLE ai_usage (
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id INTEGER PRIMARY KEY,
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user_id INTEGER NOT NULL REFERENCES users(id) ON DELETE CASCADE,
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model TEXT NOT NULL,
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endpoint TEXT NOT NULL,
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prompt_tokens INTEGER NOT NULL,
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completion_tokens INTEGER NOT NULL,
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total_tokens INTEGER NOT NULL,
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cost REAL NOT NULL,
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created_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now'))
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);
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CREATE INDEX idx_ai_usage_user_id ON ai_usage(user_id);
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