添加了呼号提取功能，但效果还待完善

班长后端/呼号提取（qwen+deepseek）.py

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+import ollama
+import concurrent.futures
+import json
+from typing import Dict, Any, Tuple
+
+# ==================== 核心处理模块 ====================
+class CallSignExtractor:
+    def __init__(self, model1="deepseek-r1:8b", model2="qwen2"):
+        self.model1 = model1
+        self.model2 = model2
+        self.prompt_template = """你是一个航空通信专家，请从以下对话中提取**所有**飞机呼号，请严格按照以下要求操作：
+1. 从对话文本中提取所有出现的航空器呼号（格式示例：lufthansa seven three nine）
+2. 每个呼号对应完整的原始对话文本
+3. 多个呼号需分别列出
+4. 严格保持如下JSON格式：{{"<呼号1>": "完整原始文本","<呼号2>": "完整原始文本"}}
+5. 不添加任何额外信息
+
+示例输入：
+{{""PI : radar aero flot one two two good afternoon passing flight level two
+PI : eight climb flight level two eight zero
+AT : aero flot one two two hello radar contact proceed to pemur climb to flight level three one zero
+PI : climbing level three one zero cleared to direct pemur aero flot one two two
+PIAT : praha good afternoon malaysian two one flight level three three zero squawking zero six four seven malaysian two one hello radar contact maintain flight level three three zero
+PI : level three three zero malaysian two one"
+"}}
+
+
+示例输出：
+{{"aero flot one two two": "PI : radar aero flot one two two good afternoon passing flight level two
+PI : eight climb flight level two eight zero
+AT : aero flot one two two hello radar contact proceed to pemur climb to flight level three one zero
+PI : climbing level three one zero cleared to direct pemur aero flot one two two","malaysian two one":"PIAT : praha good afternoon malaysian two one flight level three three zero squawking zero six four seven malaysian two one hello radar contact maintain flight level three three zero
+PI : level three three zero malaysian two one"}}
+        
+现在请处理以下文本：
+{raw_text}"""
+
+    def _call_model(self, model_name: str, prompt: str) -> str:
+        """调用Ollama模型并返回响应"""
+        try:
+            response = ollama.generate(model=model_name, prompt=prompt)
+            print(response["response"])
+            return response['response']
+        except Exception as e:
+            print(f"模型调用错误 ({model_name}): {e}")
+            return ""
+
+    def _dual_model_inference(self, prompt: str) -> Tuple[str, str]:
+        """并行执行双模型推理"""
+        with concurrent.futures.ThreadPoolExecutor() as executor:
+            future1 = executor.submit(self._call_model, self.model1, prompt)
+            future2 = executor.submit(self._call_model, self.model2, prompt)
+            return future1.result(), future2.result()
+
+    def _merge_results(self, result1: str, result2: str) -> Dict[str, str]:
+        """智能融合双模型结果"""
+        try:
+            json1 = json.loads(result1) if result1.strip() else {}
+        except json.JSONDecodeError:
+            json1 = {}
+
+        try:
+            json2 = json.loads(result2) if result2.strip() else {}
+        except json.JSONDecodeError:
+            json2 = {}
+
+        # 合并策略：保留所有识别结果，冲突时优先模型1
+        merged = {**json1, **json2}  # 后者覆盖前者
+        return merged
+
+    def extract_call_signs(self, raw_text: str) -> Dict[str, str]:
+        """执行完整提取流程"""
+        prompt = self.prompt_template.format(raw_text=raw_text)
+        result1, result2 = self._dual_model_inference(prompt)
+        return self._merge_results(result1, result2)
+
+# ==================== 数据预处理模块 ====================
+def preprocess_data(input_data: Dict[str, str]) -> str:
+    """预处理输入数据（示例实现）"""
+    # 实际应用中可添加更多预处理逻辑
+    return input_data.get("text", "")
+
+# ==================== 主执行流程 ====================
+def main():
+    # 示例输入数据
+    input_data = {
+        "id": "ACCU-0H4CW3",
+        "text": """PI : radar aero flot one two two good afternoon passing flight level two
+PI : eight climb flight level two eight zero
+AT : aero flot one two two hello radar contact proceed to pemur climb to flight level three one zero
+PI : climbing level three one zero cleared to direct pemur aero flot one two two
+PIAT : praha good afternoon malaysian two one flight level three three zero squawking zero six four seven malaysian two one hello radar contact maintain flight level three three zero
+PI : level three three zero malaysian two one"""
+    }
+
+    # 预处理
+    raw_text = preprocess_data(input_data)
+    print(raw_text) #把id去掉，只返回text字段
+    # 初始化提取器
+    extractor = CallSignExtractor()
+    
+    # 执行提取
+    result = extractor.extract_call_signs(raw_text)
+    
+    # 格式化输出
+    print(json.dumps(result, indent=2, ensure_ascii=False))
+
+if __name__ == "__main__":
+    main()