Julian Pawlowski 1e1c8d5299 feat(periods): handle flat days and absolute low-price scenarios ... Three complementary fixes for pathological price days: 1. Adaptive min_periods for flat days (CV ≤ 10%): On days with nearly uniform prices (e.g. solar surplus), enforcing multiple distinct cheap periods is geometrically impossible. _compute_day_effective_min() detects CV ≤ LOW_CV_FLAT_DAY_THRESHOLD and reduces the effective target to 1 for that day (best price only; peak price always runs full relaxation). 2. min_distance scaling on absolute low-price days: When the daily average drops below 0.10 EUR (10 ct), percentage-based min_distance becomes unreliable. The threshold is scaled linearly to zero so the filter neither accepts the entire day nor blocks everything. 3. CV quality gate bypass for absolute low-price periods: Periods with a mean below 0.10 EUR may show high relative CV even though the absolute price differences are fractions of a cent. Both _check_period_quality() and _check_merge_quality_gate() now bypass the CV gate below this threshold. Additionally: span-aware flex warnings now emit INFO/WARNING when base_flex >= 25%/30% and at least one "normal" (non-V-shape) day exists (FLEX_WARNING_VSHAPE_RATIO = 0.5). Previously the constants were defined but never used. Updated 3 test assertions in test_best_price_e2e.py: the flat-day fixture (CV ~5.4%) correctly produces 1 period, not 2. Impact: Best Price periods now appear reliably on V-shape solar days and flat-price days. No more "0 periods" on days where the single cheapest window is a valid and useful result.		2026-04-06 12:18:40 +00:00
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tibber_prices	feat(periods): handle flat days and absolute low-price scenarios	2026-04-06 12:18:40 +00:00