Einige PyCharm Warnings und Fehlermeldungen wurden entfernt. Allerings scheint die Dockerintegration in PyCharm nicht komplett ohne Fehler zu sein. Man sollte sich nicht zu sehr auf die Fehlermeldungen verlassen, hier speziell, wenn Module vermisst werden. Diese sind in der Regel im Container installiert. PyCharm merkt dies aber nicht!

analytics/app.py

@@ -7,7 +7,7 @@ import os
 
 # --- Konstanten ---
 TB2B = 1024**4  # TB in Bytes
-FILE_PATH = os.getenv("JSON_CACHE_WITH_PATH", "/data/json_cache.json")
+FILE_PATH = os.getenv("JSON_CACHE_WITH_PATH", "/data/results/json_cache.json")
 PRICE_PER_TB = 8.1  # CHF / TB
 
 
@@ -24,7 +24,8 @@ def load_data():
     """
     try:
         return pd.read_json(FILE_PATH)
-    except Exception:
+    except (FileNotFoundError, ValueError):
+        # Fange nur erwartete Fehler ab: Datei nicht gefunden oder ungültiges JSON
         return pd.DataFrame([
             {"ownerGroup": "a-123", "department": "4000", "size": 500000, "packedSize": 400000},
             {"ownerGroup": "p9999", "department": "6000", "size": 1200000, "packedSize": 1000000}
@@ -35,10 +36,12 @@ df = load_data()
 
 
 # --- Session State Initialisierung ---
-if "department" in df.columns:
-    depts = sorted(df["department"].unique().tolist())
-    if 'gewaehltes_dept' not in st.session_state:
-        st.session_state.gewaehltes_dept = depts[0] if depts else None
+if 'gewaehltes_dept' not in st.session_state:
+    if "department" in df.columns:
+        depts_for_init = sorted(df["department"].unique().tolist())
+        st.session_state.gewaehltes_dept = depts_for_init[0] if depts_for_init else None
+    else:
+        st.session_state.gewaehltes_dept = None
 
 
 # --- Navigation (Sidebar) ---
@@ -117,7 +120,7 @@ if auswahl == "Übersicht & Metriken":
     )
 
 
-    if "department" in df:
+    if "department" in df.columns:
         fig = px.pie(
             df,
             names="department",
@@ -130,55 +133,60 @@ if auswahl == "Übersicht & Metriken":
 elif auswahl == "Bereichs-Analyse":
     st.title("Bereichs-Analyse")
 
-    if "department" in df and depts:
-        try:
-            default_index = depts.index(st.session_state.gewaehltes_dept)
-        except ValueError:
+    if "department" in df.columns:
+        depts = sorted(df["department"].unique().tolist())
+        if depts:
             default_index = 0
+            if st.session_state.gewaehltes_dept:
+                try:
+                    default_index = depts.index(st.session_state.gewaehltes_dept)
+                except ValueError:
+                    default_index = 0
 
-        neue_auswahl = st.selectbox(
-            "Bereich auswählen:",
-            depts,
-            index=default_index
-        )
-        st.session_state.gewaehltes_dept = neue_auswahl
-
-        filtered_df = df[df["department"] == st.session_state.gewaehltes_dept].copy()
-
-        if "copies" in filtered_df.columns:
-            conditions = [
-                filtered_df['copies'].str.startswith('one', na=False),
-                filtered_df['copies'].str.startswith('two', na=False)
-            ]
-            choices = [1, 2]
-            filtered_df['copies'] = np.select(
-                conditions, choices, default=filtered_df['copies']
+            neue_auswahl = st.selectbox(
+                "Bereich auswählen:",
+                depts,
+                index=default_index
             )
+            st.session_state.gewaehltes_dept = neue_auswahl
 
-        if "packedSize" in filtered_df.columns:
-            filtered_df = filtered_df.sort_values(
-                by="packedSize", ascending=False
+            filtered_df = df[df["department"] == st.session_state.gewaehltes_dept].copy()
+
+            if "copies" in filtered_df.columns:
+                conditions = [
+                    filtered_df['copies'].str.startswith('one', na=False),
+                    filtered_df['copies'].str.startswith('two', na=False)
+                ]
+                choices = [1, 2]
+                filtered_df['copies'] = np.select(
+                    conditions, choices, default=filtered_df['copies']
+                )
+
+            if "packedSize" in filtered_df.columns:
+                filtered_df = filtered_df.sort_values(
+                    by="packedSize", ascending=False
+                )
+
+            rename_mapping = {
+                "ownerGroup": "Gruppe",
+                "copies": "Anzahl Kopien",
+                "size": "unpacketierte Grösse",
+                "packedSize": "packetierte Grösse",
+                "beamline": "Beamline",
+                "department": "Bereich"
+            }
+            filtered_df.rename(columns=rename_mapping, inplace=True)
+
+            if "packetierte Grösse" in filtered_df.columns:
+                filtered_df["Kosten [CHF]"] = \
+                    (filtered_df["packetierte Grösse"] / TB2B) * PRICE_PER_TB
+
+            department_name = str(st.session_state.gewaehltes_dept)
+            st.metric(
+                f"Anzahl Gruppen in Department {department_name}",
+                len(filtered_df)
             )
-
-        rename_mapping = {
-            "ownerGroup": "Gruppe",
-            "copies": "Anzahl Kopien",
-            "size": "unpacketierte Grösse",
-            "packedSize": "packetierte Grösse",
-            "beamline": "Beamline",
-            "department": "Bereich"
-        }
-        filtered_df.rename(columns=rename_mapping, inplace=True)
-
-        if "packetierte Grösse" in filtered_df.columns:
-            filtered_df["Kosten [CHF]"] = \
-                (filtered_df["packetierte Grösse"] / TB2B) * PRICE_PER_TB
-
-        st.metric(
-            f"Anzahl Gruppen in Department {st.session_state.gewaehltes_dept}",
-            len(filtered_df)
-        )
-        st.dataframe(filtered_df, use_container_width=True, hide_index=True)
+            st.dataframe(filtered_df, use_container_width=True, hide_index=True)
 
 elif auswahl == "Nicht zuweisbare Daten":
     st.title("Nicht zuweisbare Daten")

docker-compose.yml

@@ -1,6 +1,7 @@
 services:
   logic-red:
     build: ./logic
+    container_name: archive_cost_logic
     volumes:
       - ./logic/node-red-data:/data
       - ./shared_data:/data/results
@@ -33,10 +34,11 @@ services:
   # --- NEUER STREAMLIT CONTAINER ---
   analytics-app:
     build: ./analytics
+    container_name: archive_cost_analytics
     ports:
       - "8501:8501"  # Standard-Port für Streamlit im Browser
     volumes:
       - ./analytics:/app
-      - ./shared_data:/data:ro
+      - ./shared_data:/data/results:ro
     environment:
       - TZ=Europe/Zurich

logic/node-red-data/archivegroup_information.json

@@ -1 +1 @@
-size_by_ownergroup_and_number_of_copies_2026-06-26T11_00_16.json
+size_by_ownergroup_and_number_of_copies_2026-06-26T12_24_06.json