3927441103
- Add Users table for display name resolution from AD authentication - Integrate DIFY AI service for report content generation - Create docx assembly service with image embedding from MinIO - Add REST API endpoints for report generation and download - Add WebSocket notifications for generation progress - Add frontend UI with progress modal and download functionality - Add integration tests for report generation flow Report sections (Traditional Chinese): - 事件摘要 (Summary) - 時間軸 (Timeline) - 參與人員 (Participants) - 處理過程 (Resolution Process) - 目前狀態 (Current Status) - 最終處置結果 (Final Resolution) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
53 lines
1.3 KiB
Python
53 lines
1.3 KiB
Python
"""Application configuration loaded from environment variables"""
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from pydantic_settings import BaseSettings
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from functools import lru_cache
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class Settings(BaseSettings):
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"""Application settings"""
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# Database
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DATABASE_URL: str
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# Security
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FERNET_KEY: str
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# AD API
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AD_API_URL: str
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# Session Settings
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SESSION_INACTIVITY_DAYS: int = 3
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TOKEN_REFRESH_THRESHOLD_MINUTES: int = 5
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MAX_REFRESH_ATTEMPTS: int = 3
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# Server
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HOST: str = "0.0.0.0"
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PORT: int = 8000
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DEBUG: bool = True
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# MinIO Object Storage
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MINIO_ENDPOINT: str = "localhost:9000"
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MINIO_ACCESS_KEY: str = "minioadmin"
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MINIO_SECRET_KEY: str = "minioadmin"
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MINIO_BUCKET: str = "task-reporter-files"
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MINIO_SECURE: bool = False # Use HTTPS
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# DIFY AI Service
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DIFY_BASE_URL: str = "https://dify.theaken.com/v1"
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DIFY_API_KEY: str = "" # Required for report generation
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DIFY_TIMEOUT_SECONDS: int = 120 # AI generation can take time
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# Report Generation
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REPORT_MAX_MESSAGES: int = 200 # Summarize if exceeded
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REPORT_STORAGE_PATH: str = "reports" # MinIO path prefix for reports
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class Config:
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env_file = ".env"
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case_sensitive = True
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@lru_cache()
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def get_settings() -> Settings:
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"""Get cached settings instance"""
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return Settings()
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