62 lines
2.1 KiB
Bash
62 lines
2.1 KiB
Bash
# Text2SQL Agent 环境配置示例
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# 复制为 .env 并填入实际值
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# ========== DeepSeek API 配置 ==========
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DEEPSEEK_API_KEY=sk-2e3cc9f79a2c40e9a6b7c960d8c090d9
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DEEPSEEK_BASE_URL=https://api.deepseek.com
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# 模型配置
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# 主生成模型
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MODEL_PRIMARY=deepseek-chat
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TEMPERATURE=0 # 确定性模式：每次生成相同结果
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MAX_TOKENS=4096
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# 生成与校验默认 SQL Server（T-SQL）；可改为 mysql / postgresql 等
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TEXT2SQL_DIALECT=sqlserver
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# ========== Embedding 配置 ==========
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# false = 使用兼容 OpenAI 的远程 /v1/embeddings（优先 ModelScope，未配置 MODELSCOPE_* 时用 DashScope）
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USE_LOCAL_EMBEDDING=false
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# ModelScope 推理 API：https://www.modelscope.cn/docs/inference-api
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# MODELSCOPE_API_KEY=ms-b95f3233-4797-4efd-90e6-b3728743571d
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# MODELSCOPE_BASE_URL=https://api-inference.modelscope.cn/v1
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# MODELSCOPE_EMBEDDING_MODEL=Qwen/Qwen3-Embedding-8B
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# # 单次请求最大条数，按服务端限制调整
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# MODELSCOPE_EMBEDDING_MAX_BATCH=32
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# 兼容 OpenAI 的网关：地址含 /v1（若网关根路径即 OpenAI API 则按实际填写）
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OPENAI_BASE_URL=http://113.192.49.54:9080/v1
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OPENAI_API_KEY=sk-proj-FEb2ChHZK5Llm0tBkmNIT3BlbkFJbu0b0zQpTW8762yD6HDv
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OPENAI_EMBEDDING_MODEL=text-embedding-ada-002
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# ========== Schema 配置 ==========
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SCHEMA_DIR=./data/schemas
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SCHEMA_FILE=${SCHEMA_DIR}/G3SB_MCDataDictionary_table_structure.json
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# ========== 向量数据库配置 ==========
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VECTOR_DB_PATH=./data/embeddings/chroma
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# ========== 验证配置 ==========
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ENABLE_SQL_VALIDATION=true
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BLOCK_DANGEROUS_SQL=true
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# ========== 重试配置 ==========
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MAX_RETRY=2 # 确定性模式：只尝试一次，不重试
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RETRY_DELAY=1.0
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# ========== Few-shot 配置 ==========
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# 是否启用经验数据集few-shot增强
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FEWSHOT_ENABLED=true
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# 每次使用的示例数量
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FEWSHOT_TOP_K=3
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# 示例最低评分（1-10）
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FEWSHOT_MIN_RATING=7
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# 经验数据集路径
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FEWSHOT_DATA_PATH=./data/experiences/all_samples.jsonl
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# ========== 日志配置 ==========
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LOG_LEVEL=INFO
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LOG_FILE=./logs/text2sql.log
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database_url = mssql+pymssql://sa:123456@192.168.3.201:1433/G3SB_PROD_HW
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