上传文件至 kg_lab_6.13

1. 6.13 上传支持库环境 2. 上传main2.py 支持neo4j库检索
2025-06-13 17:53:42 +08:00
parent b9fa683695
commit 2cd09e6528
2 changed files with 104 additions and 0 deletions
@@ -0,0 +1,98 @@
+from chains_lab import Problem_rewrite
+from vector_lab import intersection_of_three_lists
+from utils import find_target_item, find_target_items, pre_mapping, pre_mapping2
+import json
+
+# 初始化
+problem_rewrite = Problem_rewrite()
+
+from utils import extract_concrete_info, extract_query_prefix_list
+
+from chains_lab import question_answer, question_answer_calculation
+
+qa_chains = question_answer()
+
+calculation_chains = question_answer_calculation()
+
+from chains_lab import  booway_cypher_chain
+
+# 加载数据
+with open('./data/data.json', 'r', encoding='utf-8') as file:
+    data = json.load(file)
+
+print("📥 请输入查询内容，输入 'exit' 可退出程序。\n")
+
+while True:
+    input_str = input("🔍 输入问题：")
+
+    if input_str.lower() == 'exit':
+        print("👋 已退出。")
+        break
+
+    try:
+        results = intersection_of_three_lists(input_str)
+        if not results:
+            print("⚠️ 无法从向量中获取候选项。")
+            continue
+
+        retriever = results[0]
+
+        print(f"➡️ 匹配向量检索结果：{retriever}")
+
+        # 重写问题，提取关键词
+        keywords = problem_rewrite.invoke({
+            "query": input_str,
+            "retriever": retriever
+        })
+
+        print(f"🧠 提取关键词：{keywords}")
+
+        # 预映射为图数据库结构
+        input_neo4j = pre_mapping2(keywords, data)
+
+        print(f"📊 图谱相关知识输出：\n{input_neo4j}\n")
+
+        question = input_neo4j
+        input_str = input_str
+
+        if isinstance(question, str):
+    
+            response = booway_cypher_chain.invoke(question)
+    
+            generated_cypher = response.get("intermediate_steps")[0]
+    
+            # print(str(generated_cypher))
+
+            temp = response.get("result")
+
+            # print(temp)
+    
+            finally_result = qa_chains.invoke({"query":input_str, 
+                                               "retriever_keywords":keywords, 
+                                               "retriever_info":temp})
+
+            print(f"📊 图谱最终检索输出：\n{finally_result}\n")
+
+
+        elif isinstance(question, list):
+            ques = extract_query_prefix_list(question)
+            ques_info = extract_concrete_info(question)
+
+            retriever_info = []
+            for i in ques:
+                response = booway_cypher_chain.invoke(ques)    
+                # generated_cypher = response.get("intermediate_steps")[0]
+                temp = response.get("result")
+                retriever_info.append(temp)
+
+            retriever_keywords = ques_info[0]
+            calculation = ques_info[-1]
+    
+            finally_result = calculation_chains.invoke({"query":question, 
+                                                        "retriever_keywords":retriever_keywords, 
+                                                        "calculation":calculation, 
+                                                        "retriever_info":retriever_info})
+            print(f"📊 图谱最终检索输出：\n{finally_result}\n")
+
+    except Exception as e:
+        print(f"❌ 发生错误：{e}")
@@ -0,0 +1,6 @@
+langchain==0.3.19
+langchain_core==0.3.49
+langchain_community==0.3.18
+langchain_huggingface==0.1.2
+faiss-gpu-cu12==1.9.0.post1
+neo4j==5.27.0