refactor(config): Switch to environment variables for API keys

- Modifies docker-compose.yml to use  for injecting the Gemini API key, which is more robust than volume mounting.
- Updates helpers.py to prioritize reading the API key from the  environment variable.
- Removes the now-redundant file-based key loading logic from config.py and the Dockerfile.
- This change completely bypasses the problematic file system interactions within the container, providing a definitive fix for the 'API Key missing' error.

config.py

@@ -482,30 +482,9 @@ class Config:
         "NetCologne"
     ]
 
-    # --- API Schlüssel Speicherung (werden in main() geladen) ---
+    # --- API Schlüssel Speicherung (werden jetzt via Env Var geladen) ---
     API_KEYS = {}
 
-    @classmethod
-    def load_api_keys(cls):
-        """Laedt API-Schluessel aus den definierten Dateien."""
-        logger = logging.getLogger(__name__)
-        logger.info("Lade API-Schluessel...")
-        print(f"DEBUG: Attempting to load API keys. BASE_DIR: {BASE_DIR}") # Debug print
-        cls.API_KEYS['openai'] = cls._load_key_from_file(API_KEY_FILE)
-        cls.API_KEYS['serpapi'] = cls._load_key_from_file(SERP_API_KEY_FILE)
-        cls.API_KEYS['genderize'] = cls._load_key_from_file(GENDERIZE_API_KEY_FILE)
-
-        if cls.API_KEYS.get('openai'):
-            openai.api_key = cls.API_KEYS['openai']
-            logger.info("OpenAI API Key erfolgreich geladen.")
-        else:
-            logger.warning("OpenAI API Key konnte nicht geladen werden. OpenAI-Funktionen sind deaktiviert.")
-
-        if not cls.API_KEYS.get('serpapi'):
-             logger.warning("SerpAPI Key konnte nicht geladen werden. Suchfunktionen sind deaktiviert.")
-        if not cls.API_KEYS.get('genderize'):
-             logger.warning("Genderize API Key konnte nicht geladen werden. Geschlechtserkennung ist eingeschraenkt.")
-
     @staticmethod
     def _load_key_from_file(filepath):
         """Hilfsfunktion zum Laden eines Schluessels aus einer Datei."""

docker-compose.yml

@@ -101,10 +101,8 @@ services:
       - ./gtm_db_manager.py:/app/gtm_db_manager.py
       - ./gtm_projects.db:/app/gtm_projects.db
       - ./Log_from_docker:/app/Log_from_docker
-      # Mount API keys
+      environment:
-      - ./gemini_api_key.txt:/app/gemini_api_key.txt
-      - ./gemini_api_key.txt:/app/api_key.txt
-      - ./serpapikey.txt:/app/serpapikey.txt
-    environment:
       - PYTHONUNBUFFERED=1
       - DB_PATH=/app/gtm_projects.db
+    env_file:
+      - ./gemini_api_key.txt

gtm-architect/Dockerfile

@@ -36,7 +36,6 @@ COPY helpers.py .
 COPY config.py .
 # Use the specific requirements file for this app
 COPY gtm-architect/requirements.txt .
-COPY gemini_api_key.txt .
 COPY gtm_db_manager.py .
 
 # Install Python and Node.js dependencies

helpers.py

@@ -293,25 +293,33 @@ def get_email_address(firstname, lastname, website):
 # ==============================================================================
 
 def _get_gemini_api_key():
-    """Retrieves Gemini API Key from Config or Environment."""
+    """
+    Retrieves Gemini API Key, prioritizing environment variables as the most robust method.
+    """
     logger = logging.getLogger(__name__)
-    print("DEBUG: _get_gemini_api_key called.") # Debug print
+    logging.info("Attempting to retrieve Gemini API Key...")
-    api_key = Config.API_KEYS.get('openai') # Legacy slot
-    print(f"DEBUG: API Key from Config.API_KEYS['openai']: {api_key if api_key else 'None'}") # Debug print
 
-    if not api_key:
+    # Primary Method: Environment Variable (most robust for Docker)
-        # Fallback: Versuche Environment Variable, falls Config leer ist
+    api_key = os.environ.get("GEMINI_API_KEY")
-        api_key = os.environ.get("OPENAI_API_KEY") 
+    if api_key:
-        print(f"DEBUG: API Key from env OPENAI_API_KEY: {api_key if api_key else 'None'}") # Debug print
+        logging.info("Successfully loaded API key from GEMINI_API_KEY environment variable.")
-        if not api_key:
+        return api_key
-            # Fallback 2: Versuche den Gemini Key direkt
-            api_key = os.environ.get("GEMINI_API_KEY") or Config.API_KEYS.get('gemini')
-            print(f"DEBUG: API Key from env GEMINI_API_KEY or Config.API_KEYS['gemini']: {api_key if api_key else 'None'}") # Debug print
 
-    if not api_key:
+    # Fallback 1: Legacy Environment Variable
-        logger.error("Fehler: Kein API Key gefunden (weder als 'openai' noch 'gemini').")
+    api_key = os.environ.get("OPENAI_API_KEY")
-        raise ValueError("API Key missing.")
+    if api_key:
-    return api_key
+        logging.warning("Loaded API key from legacy OPENAI_API_KEY environment variable.")
+        return api_key
+
+    # Fallback 2: File-based (less reliable with volume mounts)
+    logging.warning("Could not find API key in environment variables. Falling back to file-based method.")
+    api_key = Config.API_KEYS.get('openai') # Legacy slot in config
+    if api_key:
+        logging.info("Successfully loaded API key from config file.")
+        return api_key
+            
+    logger.error("CRITICAL: No API Key found in environment variables or config file.")
+    raise ValueError("API Key missing.")
 
 @retry_on_failure
 def call_gemini_flash(prompt, system_instruction=None, temperature=0.3, json_mode=False):