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scripts/run_first_run_e2e.py runs the real Ingestion -> Baseline -> Modelling pipeline against the DB by composing build_first_run_pipeline + dispatch_first_run with the live source clients (the Lambda handler can't run locally — its _source_clients_from_env still raises, #1136). Unlike run_modelling_e2e it runs real ingestion (persists EPC/spatial/solar) and has no inspect-only mode, so it's gated behind --confirm (preview otherwise); measure scoping comes only from the Scenario's exclusions (the pipeline threads no --measures), and the modelling batch is all-or-nothing, both documented. Extract the shared env/engine/S3 plumbing into scripts/e2e_common.py (public load_env/build_engine/s3_parquet_reader) so both runners share one source and neither imports the other's privates. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .. | ||
| eon | ||
| analyse_api_sap_clusters.py | ||
| build_epc_prediction_fixture.py | ||
| decompose_api_cost_error.py | ||
| decompose_co2_pe_error.py | ||
| download_cotality_evidence.py | ||
| e2e_common.py | ||
| elmhurst_input_sheet.py | ||
| eval_api_sap_accuracy.py | ||
| fetch_2026_epc_sample.py | ||
| fetch_cohort2_api_jsons.py | ||
| fetch_corpus_coordinates.py | ||
| fetch_epc_bulk_sample.py | ||
| fetch_epc_dump.py | ||
| fetch_epc_prediction_corpus.py | ||
| fetch_epc_prediction_dense_corpus.py | ||
| historic_epc_demo.py | ||
| init_db.py | ||
| profile_api_error.py | ||
| profile_case34.py | ||
| run_audit_generator_local.py | ||
| run_first_run_e2e.py | ||
| run_modelling_cohort.py | ||
| run_modelling_e2e.py | ||
| run_property_report.py | ||
| validate_epc_prediction.py | ||