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2 Commits

Author SHA1 Message Date
86dc3a13d2 Dynamic window metrics for cold start scenarios
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Calculate metrics from first relevant event to now (capped at 30 days)
instead of a fixed 30-day window. This fixes inaccurate metrics for new
users who have only a few days of data.

Changes:
- Add _get_first_event_ts() and _calculate_window() helpers to stats.py
- Add window_days field to EggStats dataclass
- Update routes/eggs.py and routes/feed.py to use dynamic window
- Update templates to display "N-day avg" instead of "30-day avg"
- Use ceiling division for window_days to ensure first event is included

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-10 19:06:00 +00:00
c08fa476e0 feat: add 30-day egg stats computation service
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>
2025-12-29 09:25:39 +00:00