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- Updated the .env loading process to first check for an explicit path, improving reliability in different working directories. - Added logging for successful .env loading and fallback mechanisms. - Enhanced EdgeDTO creation with robust error handling, including fallbacks for unsupported provenance values and logging of errors for better traceability.
115 lines
3.4 KiB
Python
115 lines
3.4 KiB
Python
#!/usr/bin/env python3
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"""
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Script zur Verifikation des .env-Ladens in Prod.
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Prüft, ob die .env-Datei korrekt geladen wird und welche Werte tatsächlich verwendet werden.
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"""
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import os
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import sys
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from pathlib import Path
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# Stelle sicher, dass der Projekt-Pfad im Python-Path ist
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project_root = Path(__file__).parent.parent
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sys.path.insert(0, str(project_root))
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print("=" * 80)
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print("🔍 .env-Lade-Verifikation")
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print("=" * 80)
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# 1. Prüfe, ob .env-Datei existiert
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env_files = [
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project_root / ".env",
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project_root / "prod.env",
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project_root / "config" / "prod.env",
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Path.cwd() / ".env",
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Path.cwd() / "prod.env",
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]
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print("\n1. Suche nach .env-Dateien:")
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found_env = None
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for env_file in env_files:
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if env_file.exists():
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print(f" ✅ Gefunden: {env_file}")
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if found_env is None:
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found_env = env_file
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else:
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print(f" ❌ Nicht gefunden: {env_file}")
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if not found_env:
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print("\n ⚠️ WARNUNG: Keine .env-Datei gefunden!")
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print(" -> load_dotenv() wird Standard-Werte verwenden")
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# 2. Lade .env manuell
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print("\n2. Lade .env-Datei:")
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from dotenv import load_dotenv
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if found_env:
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result = load_dotenv(found_env, override=True)
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print(f" ✅ load_dotenv('{found_env}') = {result}")
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else:
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result = load_dotenv(override=True)
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print(f" ⚠️ load_dotenv() ohne expliziten Pfad = {result}")
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print(" -> Sucht automatisch nach .env im aktuellen Verzeichnis")
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# 3. Prüfe kritische Umgebungsvariablen
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print("\n3. Kritische Umgebungsvariablen:")
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critical_vars = [
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"COLLECTION_PREFIX",
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"MINDNET_PREFIX",
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"DEBUG",
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"VECTOR_DIM",
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"MINDNET_EMBEDDING_MODEL",
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"QDRANT_URL",
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]
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for var in critical_vars:
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value = os.getenv(var, "NICHT GESETZT")
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source = "Umgebung" if var in os.environ else "Default/Code"
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print(f" {var:30} = {value:40} ({source})")
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# 4. Prüfe, welche .env-Datei tatsächlich geladen wurde
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print("\n4. Verifikation der geladenen Werte:")
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print(f" Arbeitsverzeichnis: {Path.cwd()}")
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print(f" Projekt-Root: {project_root}")
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print(f" Python-Pfad[0]: {sys.path[0] if sys.path else 'N/A'}")
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# 5. Test: Importiere Settings
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print("\n5. Test: Importiere Settings aus app.config:")
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try:
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from app.config import get_settings
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settings = get_settings()
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print(f" ✅ Settings erfolgreich geladen")
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print(f" -> COLLECTION_PREFIX: {settings.COLLECTION_PREFIX}")
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print(f" -> VECTOR_SIZE: {settings.VECTOR_SIZE}")
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print(f" -> EMBEDDING_MODEL: {settings.EMBEDDING_MODEL}")
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except Exception as e:
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print(f" ❌ Fehler beim Laden der Settings: {e}")
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import traceback
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traceback.print_exc()
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# 6. Test: Prüfe EdgeDTO
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print("\n6. Test: Prüfe EdgeDTO-Import:")
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try:
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from app.models.dto import EdgeDTO
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import inspect
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source = inspect.getsource(EdgeDTO)
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if "explicit:callout" in source:
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print(" ✅ EdgeDTO unterstützt 'explicit:callout'")
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print(f" -> Modul-Pfad: {EdgeDTO.__module__}")
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print(f" -> Datei: {inspect.getfile(EdgeDTO)}")
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else:
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print(" ❌ EdgeDTO unterstützt NICHT 'explicit:callout'")
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# Test-Erstellung
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test_edge = EdgeDTO(
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id="test", kind="test", source="test", target="test",
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weight=1.0, provenance="explicit:callout"
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)
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print(" ✅ EdgeDTO mit 'explicit:callout' erfolgreich erstellt!")
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except Exception as e:
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print(f" ❌ Fehler: {e}")
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import traceback
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traceback.print_exc()
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print("\n" + "=" * 80)
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