fix(etl): traite les retours de revue du DAG historique
Airflow / Lint et intégrité des DAGs (push) Successful in 57s
Airflow / Construction de l'image (push) Successful in 2m52s
SonarQube / build-back (push) Successful in 1m17s
SonarQube / test-ml (push) Failing after 1m50s
SonarQube / build-front (push) Successful in 9m44s
SonarQube / test-back (push) Failing after 55s
SonarQube / test-front (push) Failing after 5m3s
SonarQube / SonarQube (push) Skipped
Airflow / Lint et intégrité des DAGs (push) Successful in 57s
Airflow / Construction de l'image (push) Successful in 2m52s
SonarQube / build-back (push) Successful in 1m17s
SonarQube / test-ml (push) Failing after 1m50s
SonarQube / build-front (push) Successful in 9m44s
SonarQube / test-back (push) Failing after 55s
SonarQube / test-front (push) Failing after 5m3s
SonarQube / SonarQube (push) Skipped
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@@ -18,6 +18,8 @@ COMMANDE_BACKEND = "cd /opt/backend && env -u VIRTUAL_ENV uv run --no-sync pytho
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CSV_PATH = "/opt/data/raw/all_sites_combined.csv"
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METADATA_PATH = "/opt/data/raw/dataset_metadata.json"
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SOURCE_TIMEZONE = "UTC"
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BATCH_SIZE = 1000
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with DAG(
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dag_id="historical_import",
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