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113 lines
3.2 KiB
113 lines
3.2 KiB
'''
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pip install openai
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'''
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from elasticsearch import Elasticsearch
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from openai import OpenAI
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from Config import Config
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# 初始化ES连接
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es = Elasticsearch(
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hosts=Config.ES_CONFIG['hosts'],
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basic_auth=Config.ES_CONFIG['basic_auth'],
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verify_certs=Config.ES_CONFIG['verify_certs']
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)
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# 初始化DeepSeek客户端
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client = OpenAI(
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api_key=Config.DEEPSEEK_API_KEY,
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base_url=Config.DEEPSEEK_URL
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)
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def generate_report(query, context):
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"""使用DeepSeek生成报告"""
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prompt = f"""根据以下关于'{query}'的相关信息，整理一份结构化的报告：
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要求：
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1. 分章节组织内容
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2. 包含关键数据和事实
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3. 语言简洁专业
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相关信息：
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{context}"""
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try:
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response = client.chat.completions.create(
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model="deepseek-chat",
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messages=[
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{"role": "system", "content": "你是一个专业的文档整理助手"},
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{"role": "user", "content": prompt}
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],
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temperature=0.3,
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stream=True
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)
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# 流式输出处理
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full_response = ""
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for chunk in response:
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if chunk.choices[0].delta.content:
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content = chunk.choices[0].delta.content
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print(content, end="", flush=True)
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full_response += content
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return full_response
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except Exception as e:
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print(f"生成报告时出错: {str(e)}")
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return ""
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def process_query(query):
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"""处理用户查询并生成报告"""
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print(f"正在搜索与'{query}'相关的数据...")
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context = search_related_data(query)
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print(f"找到{len(context.split(chr(10)+chr(10)))}条相关数据")
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print("正在生成报告...")
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report = generate_report(query, context)
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return report
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def search_related_data(query):
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"""搜索与查询相关的数据"""
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# 向量搜索
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vector_results = es.search(
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index=Config.ES_CONFIG['default_index'],
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body={
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"query": {
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"match": {
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"content": {
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"query": query,
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"analyzer": "ik_smart" # 指定分词器
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}
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}
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},
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"size": 5
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}
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)
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# 文本精确搜索
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text_results = es.search(
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index="raw_texts",
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body={
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"query": {
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"match": {
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"text.keyword": query
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}
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},
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"size": 5
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}
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)
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# 合并结果
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context = ""
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for hit in vector_results['hits']['hits']:
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context += f"向量相似度结果(score={hit['_score']}):\n{hit['_source']['text']}\n\n"
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for hit in text_results['hits']['hits']:
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context += f"文本精确匹配结果(score={hit['_score']}):\n{hit['_source']['text']}\n\n"
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return context
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if __name__ == "__main__":
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#user_query = input("请输入您的查询要求：")
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user_query = "整理云南省初中在校生情况文档"
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report = process_query(user_query)
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print("\n=== 生成的报告 ===\n")
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print(report) |