# .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=False

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

# 租户标识 — 多项目共用同一套代码时，用不同的 TENANT_ID 隔离数据
TENANT_ID=default


# ============================================================================
# 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

# 使用本地 SQLite（推荐用于开发和测试）
DATABASE_URL=sqlite:///./data/tsp_assistant.db

# 远程 MySQL（生产环境使用，需要时取消注释）
#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-Gce85QLROESeOWf3icd2mQnYHOrmMYojwVPQ0AubMjGQ5ZE2

# The base URL for the LLM API. This is often needed for OpenAI-compatible endpoints.
LLM_BASE_URL=https://gemini.jeason.online/v1

# The specific model to use, e.g., "qwen-plus-latest", "gpt-3.5-turbo", "claude-3-sonnet-20240229"
LLM_MODEL=mimo-v2-flash

# 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 App Token of the Feishu multi-dimensional table document.
FEISHU_APP_TOKEN=XXnEbiCmEaMblSs6FDJcFCqsnIg

# 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


# ============================================================================
# REDIS CACHE CONFIGURATION
# ============================================================================
# Redis server host (use localhost for local development)
REDIS_HOST=jeason.online
# Redis server port
REDIS_PORT=6379

# Redis database number (0-15)
REDIS_DB=0

# Redis password (leave empty if no password)
REDIS_PASSWORD=123456

# Redis connection pool size
REDIS_POOL_SIZE=10

# Redis cache default TTL in seconds (3600 = 1 hour)
REDIS_DEFAULT_TTL=3600

# Enable Redis cache (set to False to disable caching)
REDIS_ENABLED=True


# ============================================================================
# EMBEDDING CONFIGURATION (知识库向量检索 - 本地模型)
# ============================================================================
# 暂时禁用，等有合适的 embedding API 或服务器资源时再启用
EMBEDDING_ENABLED=False
EMBEDDING_MODEL=BAAI/bge-small-zh-v1.5
EMBEDDING_DIMENSION=512
EMBEDDING_SIMILARITY_THRESHOLD=0.5