aktueller stand

src/config.py

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+"""Configuration management for LinkedIn Workflow."""
+from typing import Optional
+from pydantic_settings import BaseSettings, SettingsConfigDict
+from pathlib import Path
+
+
+class Settings(BaseSettings):
+    """Application settings loaded from environment variables."""
+
+    # API Keys
+    openai_api_key: str
+    perplexity_api_key: str
+    apify_api_key: str
+
+    # Supabase
+    supabase_url: str
+    supabase_key: str
+
+    # Apify
+    apify_actor_id: str = "apimaestro~linkedin-profile-posts"
+
+    # Web Interface
+    web_password: str = ""
+    session_secret: str = ""
+
+    # Development
+    debug: bool = False
+    log_level: str = "INFO"
+
+    # Email Settings
+    smtp_host: str = ""
+    smtp_port: int = 587
+    smtp_user: str = ""
+    smtp_password: str = ""
+    smtp_from_name: str = "LinkedIn Post System"
+    email_default_recipient: str = ""
+
+    # Writer Features (can be toggled to disable new features)
+    writer_multi_draft_enabled: bool = True  # Generate multiple drafts and select best
+    writer_multi_draft_count: int = 3  # Number of drafts to generate (2-5)
+    writer_semantic_matching_enabled: bool = True  # Use semantically similar example posts
+    writer_learn_from_feedback: bool = True  # Learn from recurring critic feedback
+    writer_feedback_history_count: int = 10  # Number of past posts to analyze for patterns
+
+    # User Frontend (LinkedIn OAuth via Supabase)
+    user_frontend_enabled: bool = True  # Enable user frontend with LinkedIn OAuth
+    supabase_redirect_url: str = ""  # OAuth Callback URL (e.g., https://linkedin.onyva.dev/auth/callback)
+
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_file_encoding="utf-8",
+        case_sensitive=False
+    )
+
+
+# Global settings instance
+settings = Settings()