OpenSquared c93eba7a7f fix: compute surprise_pct from actual/expected when NULL for auto-analysis scoring
Events with surprise_pct=NULL (bootstrap or older events) got inputs={} → evaluate_graph
returned {} → prediction_json='{}' → all scores showed 'En attente'.

Three-step fallback in _run_auto_analysis:
1. Use event.surprise_pct if set (existing behaviour)
2. Compute from actual_value / expected_value stored in market_events
3. Look up most recent ff_calendar release by currency + date

Frontend diagnostic now shows surprise_pct per event and exposes actual/expected
in the refresh result panel to make the source visible.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-29 22:54:57 +02:00
2026-06-26 22:27:26 +02:00
2026-06-29 15:45:21 +02:00
Description
No description provided
30 MiB
Languages
Python 46.7%
TypeScript 44.9%
HTML 8%
Shell 0.1%