f74f09c191
- Refactor _extract_skills_to_robot to accept bot_id instead of robot_dir - Add multi-directory skill search with priority order - Switch from zip extraction to direct directory copying - Add rag-retrieve skill directory
145 lines
3.5 KiB
Python
145 lines
3.5 KiB
Python
#!/usr/bin/env python3
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"""
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RAG检索脚本
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调用本地RAG API进行文档检索
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"""
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import argparse
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import hashlib
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import json
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import os
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import sys
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try:
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import requests
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except ImportError:
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print("Error: requests module is required. Please install it with: pip install requests")
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sys.exit(1)
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# 默认配置
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DEFAULT_BACKEND_HOST = os.getenv("BACKEND_HOST", "https://api-dev.gptbase.ai")
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DEFAULT_MASTERKEY = os.getenv("MASTERKEY", "master")
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def load_config() -> dict:
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"""
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从项目根目录的robot_config.json加载配置
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Returns:
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dict: 配置字典
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"""
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print(os.path.dirname(__file__))
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config_path = os.path.join(os.path.dirname(__file__), '..', '..', '..', 'robot_config.json')
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if os.path.exists(config_path):
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try:
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with open(config_path, 'r', encoding='utf-8') as f:
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return json.load(f)
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except (json.JSONDecodeError, IOError) as e:
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print(f"Warning: Failed to load config file: {e}", file=sys.stderr)
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return {}
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def rag_retrieve(query: str, top_k: int = 100, config: dict = None) -> str:
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"""
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调用RAG检索API
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Args:
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bot_id: Bot标识符（如果为None则从config读取）
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query: 检索查询内容
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top_k: 返回结果数量
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config: 配置字典（可选）
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Returns:
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str: markdown格式的检索结果
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"""
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if config is None:
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config = {}
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# 从config.env读取配置，如果没有则使用默认值
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host =DEFAULT_BACKEND_HOST
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masterkey = DEFAULT_MASTERKEY
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bot_id = config.get('bot_id')
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if not bot_id:
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return "Error: bot_id is required"
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if not query:
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return "Error: query is required"
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url = f"{host}/v1/rag_retrieve/{bot_id}"
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# 生成认证token
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token_input = f"{masterkey}:{bot_id}"
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auth_token = hashlib.md5(token_input.encode()).hexdigest()
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headers = {
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"content-type": "application/json",
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"authorization": f"Bearer {auth_token}"
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}
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data = {
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"query": query,
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"top_k": top_k
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}
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try:
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response = requests.post(url, json=data, headers=headers, timeout=30)
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if response.status_code != 200:
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return f"Error: RAG API returned status code {response.status_code}. Response: {response.text}"
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try:
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response_data = response.json()
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except json.JSONDecodeError as e:
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return f"Error: Failed to parse API response as JSON. Error: {str(e)}, Raw response: {response.text}"
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# 提取markdown字段
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if "markdown" in response_data:
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return response_data["markdown"]
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else:
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return f"Error: 'markdown' field not found in API response. Response: {json.dumps(response_data, indent=2, ensure_ascii=False)}"
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except requests.exceptions.RequestException as e:
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return f"Error: Failed to connect to RAG API. {str(e)}"
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except Exception as e:
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return f"Error: {str(e)}"
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def main():
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parser = argparse.ArgumentParser(
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description="RAG检索工具 - 从知识库中检索相关文档"
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)
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parser.add_argument(
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"--query",
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"-q",
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required=True,
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help="检索查询内容"
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)
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parser.add_argument(
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"--top-k",
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"-k",
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type=int,
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default=100,
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help="返回结果数量（默认：100）"
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)
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args = parser.parse_args()
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# 加载配置
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config = load_config()
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result = rag_retrieve(
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query=args.query,
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top_k=args.top_k,
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config=config
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)
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print(result)
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if __name__ == "__main__":
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main()
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