feat(power_forecast): stitched day-ahead timeseries with date-range support#78
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…ead window by init-hour; include unit test covering 09:00 -> 15..39h selection Co-authored-by: mroberto166 <mroberto166@users.noreply.github.com>
… naive-time comparison to avoid TZ coercion differences Co-authored-by: mroberto166 <mroberto166@users.noreply.github.com>
Co-authored-by: mroberto166 <mroberto166@users.noreply.github.com>
Co-authored-by: mroberto166 <mroberto166@users.noreply.github.com>
Construct daily init runs directly from start_date/end_date and fetch in a single request, bypassing the init-times listing limit so arbitrarily long histories can be stitched. Also dedupe overlapping windows from sub-hourly runs (keeping the most recent init) to avoid a non-unique index crash. Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
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… clip Co-authored-by: Cursor <cursoragent@cursor.com>
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Jun 3, 2026
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Summary
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PowerForecast.get_day_ahead_timeseries()— a helper that stitches a continuous day-ahead time series from the forecast runs at a given init hour, plus a date-range mode for plotting arbitrarily long histories.init_hour(intime_zone), takes each run's day-ahead window[(24-init_hour), (24-init_hour)+24)h, and concatenates into one continuoustimeaxis.start_date/end_date): constructs the daily init runs directly and fetches them in a single request, bypassing the init-times listing cap (server limitslimitto 1000 ≈ 11 days). Enables stitching a full year. Result is clipped to the requested valid-time window (UTC-normalized).max_init_times), backward compatible.(zone_key, psr_type, time)to avoid a non-unique-index crash.Test plan
get_init_timesnot called in date-range mode).production.power_forecast_predictions— confirmed real upstream data outages, not stitching bugs.