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find_cheapest_block, find_cheapest_hours, and find_cheapest_schedule accept an optional power_profile (fixed per-interval watt array matching the requested duration/task length). When allow_relaxation was enabled and no full-duration window could be found, the duration-reduction relaxation phase silently reduced the interval count without shrinking power_profile accordingly. Downstream code (find_cheapest_contiguous_window, calculate_window_statistics, _find_cheapest_window_in_pool) then truncated the profile from the front to match, dropping trailing appliance-cycle phases and using the wrong per-interval weights for both window selection and the reported cost estimate. Disable duration-reduction relaxation whenever a power_profile is supplied (find_cheapest_schedule guards per-task via any_task_has_power_profile); distance and level-filter relaxation phases remain available since they don't affect interval count. Impact: Services with a power_profile no longer silently pick a shorter window with mismatched power weighting during relaxation; they now correctly report no window found if the full duration isn't available, preserving the accuracy of appliance-cycle cost estimates. |
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|---|---|---|
| .. | ||
| charging | ||
| __init__.py | ||
| debug_clear_tomorrow.py | ||
| entity_resolver.py | ||
| find_cheapest_block.py | ||
| find_cheapest_hours.py | ||
| find_cheapest_schedule.py | ||
| find_most_expensive_block.py | ||
| find_most_expensive_hours.py | ||
| formatters.py | ||
| get_apexcharts_yaml.py | ||
| get_chartdata.py | ||
| get_price.py | ||
| helpers.py | ||
| plan_charging.py | ||
| refresh_user_data.py | ||
| relaxation.py | ||