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Skipped cohort certs were previously surfaced only as outputs.result on a completed subtask, so they were easy to miss. Treat them as a failure too: once the batch has run to completion (so every modellable property is already written to DB), raise if there were any per-property errors OR any skipped certs. The run gets flagged for debugging without discarding the work done. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| .. | ||
| applications | ||
| datatypes | ||
| domain | ||
| e2e | ||
| fixtures/epc_prediction | ||
| harness | ||
| infrastructure | ||
| lambdas | ||
| magic_plan | ||
| orchestration | ||
| repositories | ||
| scripts | ||
| utilities | ||
| __init__.py | ||
| conftest.py | ||
| test_lambda_packaging.py | ||