Implement compute-on-read egg statistics per spec section 9: - Create egg_stats_30d_by_location table (migration 0007) - Add get_egg_stats service with bird-days calculation - Calculate layer-eligible days (adult female + matching species) - Implement feed proration formula with INTEGER truncation - Cache computed stats with window bounds Verifies E2E test #1 baseline values: - eggs_total_pcs = 12 - feed_total_g = 6000, feed_layers_g = 4615 - cost_per_egg_all = 0.600, cost_per_egg_layers = 0.462 - layer_eligible_bird_days = 10 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
23 lines
916 B
SQL
23 lines
916 B
SQL
-- ABOUTME: Migration to create egg_stats_30d_by_location table.
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-- ABOUTME: Caches computed 30-day rolling statistics for egg production.
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-- Egg stats computed on-read and cached per location
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-- Feed amounts in grams (not kg) for precision
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-- Costs stored as REAL EUR values
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CREATE TABLE egg_stats_30d_by_location (
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location_id TEXT PRIMARY KEY REFERENCES locations(id),
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window_start_utc INTEGER NOT NULL,
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window_end_utc INTEGER NOT NULL,
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eggs_total_pcs INTEGER NOT NULL,
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feed_total_g INTEGER NOT NULL,
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feed_layers_g INTEGER NOT NULL,
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cost_per_egg_all_eur REAL NOT NULL,
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cost_per_egg_layers_eur REAL NOT NULL,
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layer_eligible_bird_days INTEGER NOT NULL,
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layer_eligible_count_now INTEGER NOT NULL,
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updated_at_utc INTEGER NOT NULL
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);
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-- Index for finding stale stats that need recomputation
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CREATE INDEX idx_egg_stats_updated ON egg_stats_30d_by_location(updated_at_utc);
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