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https://github.com/jpawlowski/hass.tibber_prices.git
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3a25bd260e
Add calculation summary attributes to best_price_period and peak_price_period binary sensors for diagnostic transparency. New attributes (all excluded from recorder history): - min_periods_configured: User's configured target per day (always shown) - periods_found_total: Actual periods found across all days (always shown) - flat_days_detected: Days where CV <= 10% reduced target to 1 (only when > 0) - relaxation_incomplete: Some days couldn't reach the target (only when true) These attributes explain observed behavior without requiring users to read logs: seeing "flat_days_detected: 1" alongside "min_periods_configured: 2, periods_found_total: 1" immediately explains why the count is lower than configured on uniform-price days. Implementation: - _compute_day_effective_min() now returns (dict, int) tuple to propagate the flat day count through to the metadata dict - flat_days_detected added to metadata["relaxation"] in calculate_periods_with_relaxation() - build_final_attributes_simple() gains optional period_metadata parameter - New add_calculation_summary_attributes() function handles the rendering - Attributes are shown even when no period is currently active Updated recorder-optimization.md: attribute counts + clarified that timestamp is correctly excluded (entity native_value is recorded separately by HA as the entity state itself). Impact: Users can understand why they received fewer periods than configured without enabling debug logging. |
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| .. | ||
| __init__.py | ||
| attributes.py | ||
| core.py | ||
| definitions.py | ||
| types.py | ||