Ruben Fischer
f14515e9cf
Features: - Add LinkedIn OAuth integration and auto-posting functionality - Add scheduler service for automated post publishing - Add metadata field to generated_posts for LinkedIn URLs - Add privacy policy page for LinkedIn API compliance - Add company management features and employee accounts - Add license key system for company registrations Fixes: - Fix timezone issues (use UTC consistently across app) - Fix datetime serialization errors in database operations - Fix scheduling timezone conversion (local time to UTC) - Fix import errors (get_database -> db) Infrastructure: - Update Docker setup to use port 8001 (avoid conflicts) - Add SSL support with nginx-proxy and Let's Encrypt - Add LinkedIn setup documentation - Add migration scripts for schema updates Services: - Add linkedin_service.py for LinkedIn API integration - Add scheduler_service.py for background job processing - Add storage_service.py for Supabase Storage - Add email_service.py improvements - Add encryption utilities for token storage Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
81 lines
2.8 KiB
Python
81 lines
2.8 KiB
Python
"""Configuration management for LinkedIn Workflow."""
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from typing import Optional
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from pydantic_settings import BaseSettings, SettingsConfigDict
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from pathlib import Path
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class Settings(BaseSettings):
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"""Application settings loaded from environment variables."""
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# API Keys
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openai_api_key: str
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perplexity_api_key: str
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apify_api_key: str
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# Supabase
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supabase_url: str
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supabase_key: str
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supabase_service_role_key: str = "" # Required for admin operations like deleting users
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# Apify
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apify_actor_id: str = "apimaestro~linkedin-profile-posts"
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# Web Interface
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web_password: str = ""
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session_secret: str = ""
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# Development
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debug: bool = False
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log_level: str = "INFO"
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# Email Settings
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smtp_host: str = ""
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smtp_port: int = 587
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smtp_user: str = ""
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smtp_password: str = ""
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smtp_from_name: str = "LinkedIn Post System"
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email_default_recipient: str = ""
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# Writer Features (can be toggled to disable new features)
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writer_multi_draft_enabled: bool = True # Generate multiple drafts and select best
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writer_multi_draft_count: int = 3 # Number of drafts to generate (2-5)
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writer_semantic_matching_enabled: bool = True # Use semantically similar example posts
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writer_learn_from_feedback: bool = True # Learn from recurring critic feedback
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writer_feedback_history_count: int = 10 # Number of past posts to analyze for patterns
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# User Frontend (LinkedIn OAuth via Supabase)
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user_frontend_enabled: bool = True # Enable user frontend with LinkedIn OAuth
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supabase_redirect_url: str = "" # OAuth Callback URL (e.g., https://linkedin.onyva.dev/auth/callback)
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# LinkedIn API (Custom OAuth for auto-posting)
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linkedin_client_id: str = ""
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linkedin_client_secret: str = ""
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linkedin_redirect_uri: str = "" # e.g., https://yourdomain.com/settings/linkedin/callback
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# Token Encryption
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encryption_key: str = "" # Generate with: python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())"
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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case_sensitive=False
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)
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# Global settings instance
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settings = Settings()
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# API pricing per 1M tokens (input, output)
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API_PRICING = {
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"gpt-4o": {"input": 2.50, "output": 10.00},
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"gpt-4o-mini": {"input": 0.15, "output": 0.60},
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"sonar": {"input": 1.00, "output": 1.00},
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}
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def estimate_cost(model: str, prompt_tokens: int, completion_tokens: int) -> float:
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"""Estimate cost in USD for an API call."""
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pricing = API_PRICING.get(model, {"input": 1.00, "output": 1.00})
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input_cost = (prompt_tokens / 1_000_000) * pricing["input"]
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output_cost = (completion_tokens / 1_000_000) * pricing["output"]
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return input_cost + output_cost
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