Celes Renata
d28787a8ee
The migration ran on every deploy, inserting duplicate queries each time (96 instead of 12). Added UNIQUE constraint on name and changed ON CONFLICT to reference it. Cleaned up 84 duplicates in DB.
46 lines
3.6 KiB
SQL
46 lines
3.6 KiB
SQL
-- Seed pre-built saved queries for the SQL Explorer
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-- Add unique constraint on name to prevent duplicates on re-run
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DO $$ BEGIN
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IF NOT EXISTS (SELECT 1 FROM pg_constraint WHERE conname = 'saved_queries_name_key') THEN
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ALTER TABLE saved_queries ADD CONSTRAINT saved_queries_name_key UNIQUE (name);
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END IF;
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END $$;
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INSERT INTO saved_queries (name, description, sql_text) VALUES
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('Company Overview', 'All tracked companies with sector and status',
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'SELECT ticker, legal_name, sector, active, created_at FROM companies ORDER BY ticker'),
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('Recent Recommendations', 'Latest buy/sell recommendations with confidence',
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'SELECT ticker, action, confidence, mode, risk_classification, generated_at FROM recommendations WHERE action IN (''buy'', ''sell'') ORDER BY generated_at DESC LIMIT 50'),
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('High Confidence Buys', 'Buy recommendations with confidence >= 0.75',
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'SELECT ticker, confidence, mode, thesis, generated_at FROM recommendations WHERE action = ''buy'' AND confidence >= 0.75 ORDER BY confidence DESC LIMIT 50'),
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('Trend Windows Summary', 'Current trend direction and strength by ticker',
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'SELECT entity_id AS ticker, window, trend_direction, trend_strength, confidence FROM trend_windows ORDER BY trend_strength DESC LIMIT 100'),
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('Market Prices', 'Latest close prices for tracked companies',
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'SELECT DISTINCT ON (ticker) ticker, (data->>''c'')::float AS close, (data->>''o'')::float AS open, (data->>''h'')::float AS high, (data->>''l'')::float AS low, (data->>''v'')::float AS volume, captured_at FROM market_snapshots WHERE snapshot_type = ''bar'' ORDER BY ticker, captured_at DESC'),
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('Document Counts by Type', 'Count of documents by type and status',
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'SELECT document_type, status, count(*) FROM documents GROUP BY document_type, status ORDER BY document_type, count(*) DESC'),
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('Global Events', 'Recent macro events with severity',
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'SELECT severity, LEFT(summary, 100) AS summary, event_types, affected_sectors, created_at FROM global_events ORDER BY created_at DESC LIMIT 30'),
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('Trading Decisions', 'Recent trading engine decisions',
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'SELECT ticker, decision, skip_reason, computed_position_size, computed_share_quantity, risk_tier_at_decision, created_at FROM trading_decisions ORDER BY created_at DESC LIMIT 50'),
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('Ingestion Health', 'Source ingestion run stats (last 24h)',
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'SELECT s.source_type, s.source_name, count(*) AS runs, count(*) FILTER (WHERE ir.status = ''completed'') AS completed, count(*) FILTER (WHERE ir.status = ''failed'') AS failed FROM ingestion_runs ir JOIN sources s ON ir.source_id = s.id WHERE ir.started_at > NOW() - INTERVAL ''24 hours'' GROUP BY s.source_type, s.source_name ORDER BY failed DESC, runs DESC'),
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('Reserve Pool Ledger', 'Reserve pool transaction history',
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'SELECT amount, balance_after, trigger_type, notes, created_at FROM reserve_pool_ledger ORDER BY created_at DESC LIMIT 30'),
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('Sector Exposure', 'Market value by sector from positions',
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'SELECT c.sector, count(*) AS positions, sum((ms.data->>''c'')::float) AS total_close_price FROM companies c JOIN market_snapshots ms ON c.ticker = ms.ticker WHERE ms.snapshot_type = ''bar'' GROUP BY c.sector ORDER BY total_close_price DESC'),
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('Source Coverage Matrix', 'Active sources per company',
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'SELECT c.ticker, c.legal_name, count(*) FILTER (WHERE s.source_type = ''market_api'') AS market, count(*) FILTER (WHERE s.source_type = ''news_api'') AS news, count(*) FILTER (WHERE s.source_type = ''filings_api'') AS filings, count(*) AS total FROM companies c LEFT JOIN sources s ON c.id = s.company_id AND s.active = TRUE WHERE c.active = TRUE GROUP BY c.ticker, c.legal_name ORDER BY c.ticker')
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ON CONFLICT (name) DO NOTHING;
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