dag_hvb_dashboard_etl_1.py

@@ -74,8 +74,8 @@ Connection  "duckdb_postgres" (Typ Postgres) — pg_duckdb-Server:
 
 Variables:
     hvb_nextcloud_ordner   = Hans van Bebber          (optional, Default s.u.)
-    hvb_geo_cache          = /opt/airflow/git/current/etl_cache/geo_plz_koordinaten.csv
-    hvb_log_pfad           = /opt/airflow/git/current/etl_cache/etl_laufprotokoll.csv
+    hvb_geo_cache          = /data/etl_cache/geo_plz_koordinaten.csv
+    hvb_log_pfad           = /data/etl_cache/etl_laufprotokoll.csv
     hvb_skripte_pfad       = /opt/airflow/git/current/include (Ablageort der 2 Skripte)
 
 Dashboard-Tabellen im Prod-Schema 'dashboard' (zusätzlich zu den Daten):
@@ -193,7 +193,7 @@ LOG_SPALTEN = [
 def _log_pfad() -> Path:
     return Path(Variable.get(
         "hvb_log_pfad",
-        default_var="/opt/airflow/git/current/etl_cache/etl_laufprotokoll.csv",
+        default_var="/data/etl_cache/etl_laufprotokoll.csv",
     ))
 
 
@@ -413,7 +413,7 @@ def hvb_dashboard_etl():
         skripte = Path(Variable.get("hvb_skripte_pfad",
                                     default_var="/opt/airflow/git/current/include"))
         cache = Path(Variable.get("hvb_geo_cache",
-                                  default_var="/opt/airflow/git/current/etl_cache/geo_plz_koordinaten.csv"))
+                                  default_var="/data/etl_cache/geo_plz_koordinaten.csv"))
         ziel = run_pfad / "output" / "geo_plz_koordinaten.csv"
         ziel.parent.mkdir(exist_ok=True)