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tsfm run_recipe: return the full forecast horizon, intervals and step… - #665
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… timestamps run_recipe returned only the first five forecast steps and the first three interval rows, so a time-to-alarm question past step 5 could not be answered from its output. Return the whole horizon inline, as the anomaly path already returns every label; responses over the Stirrup spill threshold still go to mcp_results/. - composition.run_recipe: add `forecast` (every step) and keep every interval row. - main.run_recipe: add `forecast_timestamps` (last observation + fh x median sampling step); the engine forecasts on a position axis, so callers no longer rebuild dates. - Test for the full horizon and the timestamps; docs updated. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014gq6UmzwdiXA4GWHRQUYAP Signed-off-by: Dhaval Patel <pateldha@us.ibm.com>
ShuxinLin
approved these changes
Oct 26, 2026
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… timestamps
run_recipe returned only the first five forecast steps and the first three interval rows, so a time-to-alarm question past step 5 could not be answered from its output. Return the whole horizon inline, as the anomaly path already returns every label; responses over the Stirrup spill threshold still go to mcp_results/.
forecast(every step) and keep every interval row.forecast_timestamps(last observation + fh x median sampling step); the engine forecasts on a position axis, so callers no longer rebuild dates.