# .env.example
# This file contains all the environment variables needed to run the application.
# Copy this file to .env and fill in the values for your environment.

# ============================================================================
# SERVER CONFIGURATION
# ============================================================================
# The host the web server will bind to.
SERVER_HOST=0.0.0.0

# The port for the main Flask web server.
SERVER_PORT=5000

# The port for the WebSocket server for real-time chat.
WEBSOCKET_PORT=8765

# Set to "True" for development to enable debug mode and auto-reloading.
# Set to "False" for production.
DEBUG_MODE=True

# Logging level for the application. Options: DEBUG, INFO, WARNING, ERROR, CRITICAL
LOG_LEVEL=INFO


# ============================================================================
# DATABASE CONFIGURATION
# ============================================================================
# The connection string for the primary database.
# Format for MySQL: mysql+pymysql://<user>:<password>@<host>:<port>/<dbname>?charset=utf8mb4
# Format for SQLite: sqlite:///./local_test.db
DATABASE_URL=mysql+pymysql://tsp_assistant:123456@jeason.online/tsp_assistant?charset=utf8mb4

# ============================================================================
# LARGE LANGUAGE MODEL (LLM) CONFIGURATION
# ============================================================================
# The provider of the LLM. Supported: "qwen", "openai", "anthropic"
LLM_PROVIDER=qwen

# The API key for your chosen LLM provider.
LLM_API_KEY=sk-c0dbefa1718d46eaa897199135066f00

# The base URL for the LLM API. This is often needed for OpenAI-compatible endpoints.
LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1

# The specific model to use, e.g., "qwen-plus-latest", "gpt-3.5-turbo", "claude-3-sonnet-20240229"
LLM_MODEL=qwen-plus-latest

# The temperature for the model's responses (0.0 to 2.0).
LLM_TEMPERATURE=0.7

# The maximum number of tokens to generate in a response.
LLM_MAX_TOKENS=2000

# The timeout in seconds for API calls to the LLM.
LLM_TIMEOUT=30


# ============================================================================
# FEISHU (LARK) INTEGRATION CONFIGURATION
# ============================================================================
# The App ID of your Feishu enterprise application.
FEISHU_APP_ID=cli_a8b50ec0eed1500d

# The App Secret of your Feishu enterprise application.
FEISHU_APP_SECRET=ccxkE7ZCFQZcwkkM1rLy0ccZRXYsT2xK

# The Verification Token for validating event callbacks (if configured).
FEISHU_VERIFICATION_TOKEN=

# The Encrypt Key for decrypting event data (if configured).
FEISHU_ENCRYPT_KEY=

# The ID of the Feishu multi-dimensional table for data synchronization.
FEISHU_TABLE_ID=tblnl3vJPpgMTSiP


# ============================================================================
# AI ACCURACY CONFIGURATION
# ============================================================================
# The similarity threshold (0.0 to 1.0) for auto-approving an AI suggestion.
AI_AUTO_APPROVE_THRESHOLD=0.95

# The similarity threshold below which the human-provided resolution is preferred.
AI_USE_HUMAN_RESOLUTION_THRESHOLD=0.90

# The similarity threshold for flagging a suggestion for manual review.
AI_MANUAL_REVIEW_THRESHOLD=0.80

# The default confidence score for an AI suggestion.
AI_SUGGESTION_CONFIDENCE=0.95

# The confidence score assigned when a human resolution is used.
AI_HUMAN_RESOLUTION_CONFIDENCE=0.90