日常更新

from NUC

票据理赔自动化/1.py

@@ -1,55 +0,0 @@
-import csv
-
-import chardet
-
-
-def convert_csv_to_utf8(input_csv: str, output_csv: str, encoding: str = None):
-    """
-    将非UTF-8编码的CSV文件转换为UTF-8编码
-    :param input_csv: 输入CSV文件路径
-    :param output_csv: 输出UTF-8编码的CSV文件路径
-    :param encoding: 手动指定输入文件编码（如"gbk"），若为None则自动检测
-    """
-    # 步骤1：检测输入文件的原始编码（若未手动指定）
-    if not encoding:
-        print(f"🔍 正在检测 {input_csv} 的编码...")
-        with open(input_csv, "rb") as f:
-            raw_data = f.read(10240)  # 读取前10KB数据用于检测（足够识别编码）
-            result = chardet.detect(raw_data)
-            encoding = result["encoding"]
-            confidence = result["confidence"]
-            print(f"✅ 检测到编码：{encoding}（置信度：{confidence:.2f}）")
-            # 处理chardet检测结果为空的情况（兜底用gbk，适配中文常见编码）
-            if not encoding:
-                encoding = "gbk"
-                print(f"⚠️  编码检测失败，兜底使用 {encoding}")
-
-    # 步骤2：按原始编码读取CSV并转换为UTF-8保存
-    try:
-        # 读取原始CSV（处理编码错误：replace表示用<E7A4BA>替换无法解码的字符，避免程序崩溃）
-        with open(input_csv, "r", encoding=encoding, errors="replace") as infile:
-            # 兼容CSV的不同分隔符（默认逗号，若为制表符可改delimiter='\t'）
-            reader = csv.reader(infile)
-            rows = list(reader)  # 读取所有行
-
-        # 保存为UTF-8编码的CSV（newline=''避免空行，encoding='utf-8-sig'带BOM，适配Excel打开）
-        with open(output_csv, "w", encoding="utf-8-sig", newline="") as outfile:
-            writer = csv.writer(outfile)
-            writer.writerows(rows)
-
-        print(f"✅ 转换完成！UTF-8编码文件已保存至：{output_csv}")
-        return True
-
-    except Exception as e:
-        print(f"❌ 转换失败：{str(e)}")
-        return False
-
-
-# ========== 示例调用 ==========
-if __name__ == "__main__":
-    # 输入/输出文件路径（替换为你的实际路径）
-    input_path = "转换后_UTF8.csv"
-    output_path = "转换后_UTF8.csv"
-
-    # 自动检测编码并转换
-    convert_csv_to_utf8(input_path, output_path)

票据理赔自动化/main.py

@@ -118,10 +118,10 @@ if __name__ == "__main__":
                     # 初始化药品表
                     self._execute(
                         sql="""
-                            CREATE TABLE IF NOT EXISTS drugs
+                            CREATE TABLE IF NOT EXISTS medicines
                             (
-                                --药品
+                                --药品/医疗服务
-                                drug TEXT PRIMARY KEY
+                                medicine TEXT PRIMARY KEY
                             )
                         """
                     )
@@ -218,35 +218,36 @@ if __name__ == "__main__":
                 raise RuntimeError("查询并获取多条个单和被保险人记录发生异常")
 
         # noinspection PyShadowingNames
-        def query_drug(
+        def query_medicine(
             self,
             content: str,
         ) -> Optional[str]:
             """
-            根据明细项具体内容查询药品
+            根据明细项名称中具体内容查询药品/医疗服务
             :param content: 明细项具体内容
-            :return: 药品
+            :return: 药品/医疗服务
             """
+            # TODO: 暂仅支持查询药品，后续完善查询医疗服务
             # noinspection PyBroadException
             try:
                 with self:
                     # noinspection SqlResolve
                     result = self._query_all(
                         sql="""
-                            SELECT drug
+                            SELECT medicine
-                            FROM drugs
+                            FROM medicines
-                            WHERE ? LIKE '%' || drug || '%'
+                            WHERE ? LIKE '%' || medicine || '%'
                         """,
                         parameters=(content,),
                     )
                 if result:
-                    return max(result, key=lambda x: len(x["drug"]))[
+                    return max(result, key=lambda x: len(x["medicine"]))[
-                        "drug"
+                        "medicine"
-                    ]  # 仅返回最大长度的药品
+                    ]  # 返回药品最大长度的药品
                 raise
-            # TODO: 若根据明细项具体内容查询药品发生异常则流转至主数据人工处理
+            # TODO: 若根据明细项名称中具体内容查询药品/医疗服务发生异常则流转至主数据人工处理
             except Exception:
-                raise RuntimeError("根据明细项具体内容查询药品发生异常")
+                raise RuntimeError("根据明细项名称中具体内容查询药品/医疗服务发生异常")
 
     # 实例化主数据
     master_data = MasterData()
@@ -859,6 +860,23 @@ if __name__ == "__main__":
                             else None
                         )
 
+            def parse_name(name: str) -> Tuple[str, Optional[str]]:
+                """
+                根据明细项名称解析明细项类别和具体内容，并根据明细项名称中具体内容查询药品/医疗服务
+                :param name: 明细项名称
+                return 明细项类别和药品/医疗服务
+                """
+                if match := re.match(
+                    r"^\*(?P<category>.*?)\*(?P<specific>.*)$",
+                    name,
+                ):
+                    return match.group("category"), master_data.query_medicine(
+                        match.group("specific")
+                    )
+                # 一般增值税发票明细项格式形如*{category}*{specific}，其中category为明细项类别，例如中成药；specific为明细项具体内容，例如[同仁堂]金贵肾气水蜜丸 300丸/瓶，需要据此查询药品。其它格式则将明细项内容作为明细项类别，药品为空值
+                else:
+                    return name, None
+
             # 初始化票据数据
             receipt = {"影像件编号": image["影像件编号"]}
             # 请求深圳快瞳票据查验接口（兼容增值税发票、医疗门诊/住院收费票据）
@@ -1291,24 +1309,22 @@ if __name__ == "__main__":
                             lambda dataframe: dataframe["金额"] != 0
                         ]  # 仅保留金额非0的明细项
                         .reset_index()
-                        .to_dict("records")
+                        .pipe(
+                            lambda dataframe: dataframe.join(
+                                dataframe["名称"]
+                                .apply(
+                                    parse_name
+                                )  # 根据明细项名称解析明细项类别和具体内容，并根据明细项名称中具体内容查询药品/医疗服务
+                                .apply(
+                                    pandas.Series
+                                )  # 就明细项类别和药品/医疗服务元组展开为两列
+                                .rename(columns={0: "类别", 1: "药品/医疗服务"})
+                            )
+                        )
                     )
 
-                    for item in items:
+                    print(items)
-                        # 匹配并解析明细项大类和具体内容
+                    print()
-                        if match := re.match(
-                            r"^\*(?P<category>.*?)\*(?P<content>.*)$",
-                            item["名称"],
-                        ):
-                            category = match.group("category")  # 明细项大类
-                            # 根据明细项具体内容查询药品
-                            drug = master_data.query_drug(match.group("content"))
-                        # TODO: 若匹配明细项大类和具体内容发生异常则流转至人工处理
-                        else:
-                            raise RuntimeError("匹配明细项大类和具体内容发生异常")
-
-                        print(dossier["被保险人层"])
-                        exit()
 
                 case ("增值税发票", "私立医院"):
                     receipt["购药及就医类型"] = "门诊就医"

票据理赔自动化/rules/药店购药明细项不合理费用扣除.json

@@ -0,0 +1,135 @@
+{
+  "contentType": "application/vnd.gorules.decision",
+  "nodes": [
+    {
+      "id": "d0fbd74f-6514-4c42-87e5-fdf849b8ab6f",
+      "name": "request",
+      "type": "inputNode",
+      "content": {
+        "schema": ""
+      },
+      "position": {
+        "x": 110,
+        "y": 292.5
+      }
+    },
+    {
+      "id": "d717ec6d-d082-4f23-8fe6-3fa52b228e65",
+      "name": "decisionTable",
+      "type": "decisionTableNode",
+      "content": {
+        "rules": [
+          {
+            "_id": "16c78c24-882b-4428-b429-e66ed67e0e85",
+            "_description": "中银保险有限公司苏州分公司就中成药不扣除",
+            "1fdeb8d9-62c5-4f07-b5d1-69dbaf6020fe": "amount",
+            "2522d0a7-437b-421b-90e7-165e2365ebba": "\"中银保险有限公司苏州分公司\"",
+            "4ed5e43b-f519-46cb-8c92-80097788d21a": "\"中成药\"",
+            "8a5837ec-3df9-4445-a515-34762a244a68": "",
+            "cd1dc117-39f5-4dc2-96bb-f67236199851": ""
+          },
+          {
+            "_id": "33343bbe-ee06-44f2-8247-84106cdaad8a",
+            "_description": "中银保险有限公司苏州分公司就化学药品制剂不扣除",
+            "1fdeb8d9-62c5-4f07-b5d1-69dbaf6020fe": "amount",
+            "2522d0a7-437b-421b-90e7-165e2365ebba": "\"中银保险有限公司苏州分公司\"",
+            "4ed5e43b-f519-46cb-8c92-80097788d21a": "\"化学药品制剂\"",
+            "8a5837ec-3df9-4445-a515-34762a244a68": "",
+            "cd1dc117-39f5-4dc2-96bb-f67236199851": ""
+          },
+          {
+            "_id": "87dd3e93-5b9b-4aa3-a7f8-899f0745260a",
+            "_description": "中银保险有限公司苏州分公司就医疗仪器器械不扣除",
+            "1fdeb8d9-62c5-4f07-b5d1-69dbaf6020fe": "amount",
+            "2522d0a7-437b-421b-90e7-165e2365ebba": "\"中银保险有限公司苏州分公司\"",
+            "4ed5e43b-f519-46cb-8c92-80097788d21a": "\"医疗仪器器械\"",
+            "8a5837ec-3df9-4445-a515-34762a244a68": "",
+            "cd1dc117-39f5-4dc2-96bb-f67236199851": ""
+          },
+          {
+            "_id": "5a39b06b-deb9-411b-9aa3-e110588f3f7a",
+            "_description": "中银保险有限公司苏州分公司就其它明细项类别扣除",
+            "1fdeb8d9-62c5-4f07-b5d1-69dbaf6020fe": "\"0.00\"",
+            "2522d0a7-437b-421b-90e7-165e2365ebba": "\"中银保险有限公司苏州分公司\"",
+            "4ed5e43b-f519-46cb-8c92-80097788d21a": "",
+            "8a5837ec-3df9-4445-a515-34762a244a68": "",
+            "cd1dc117-39f5-4dc2-96bb-f67236199851": ""
+          },
+          {
+            "_id": "cd1b883f-2dc8-459a-8eba-bbae94b3d9b2",
+            "_description": "其它保险分公司就所有明细项类别扣除",
+            "1fdeb8d9-62c5-4f07-b5d1-69dbaf6020fe": "\"0.00\"",
+            "2522d0a7-437b-421b-90e7-165e2365ebba": "",
+            "4ed5e43b-f519-46cb-8c92-80097788d21a": "",
+            "8a5837ec-3df9-4445-a515-34762a244a68": "",
+            "cd1dc117-39f5-4dc2-96bb-f67236199851": ""
+          }
+        ],
+        "inputs": [
+          {
+            "id": "2522d0a7-437b-421b-90e7-165e2365ebba",
+            "name": "保险分公司",
+            "field": "insurer_company"
+          },
+          {
+            "id": "4ed5e43b-f519-46cb-8c92-80097788d21a",
+            "name": "明细项类别",
+            "field": "category"
+          },
+          {
+            "id": "cd1dc117-39f5-4dc2-96bb-f67236199851",
+            "name": "药品/医疗服务",
+            "field": "medicine"
+          },
+          {
+            "id": "8a5837ec-3df9-4445-a515-34762a244a68",
+            "name": "金额",
+            "field": "amount"
+          }
+        ],
+        "outputs": [
+          {
+            "id": "1fdeb8d9-62c5-4f07-b5d1-69dbaf6020fe",
+            "name": "合理金额",
+            "field": "reasonable_amount"
+          }
+        ],
+        "hitPolicy": "first",
+        "inputField": null,
+        "outputPath": null,
+        "passThrough": true,
+        "executionMode": "single"
+      },
+      "position": {
+        "x": 430,
+        "y": 292.5
+      }
+    },
+    {
+      "id": "b7e720d7-9ef7-4470-be68-a38a1a711b45",
+      "name": "response",
+      "type": "outputNode",
+      "content": {
+        "schema": ""
+      },
+      "position": {
+        "x": 750,
+        "y": 292.5
+      }
+    }
+  ],
+  "edges": [
+    {
+      "id": "0b72f551-884f-41c9-b9a7-2eb711e93181",
+      "type": "edge",
+      "sourceId": "d0fbd74f-6514-4c42-87e5-fdf849b8ab6f",
+      "targetId": "d717ec6d-d082-4f23-8fe6-3fa52b228e65"
+    },
+    {
+      "id": "9dc2590c-8061-4974-b06e-40e7c49a1d97",
+      "type": "edge",
+      "sourceId": "d717ec6d-d082-4f23-8fe6-3fa52b228e65",
+      "targetId": "b7e720d7-9ef7-4470-be68-a38a1a711b45"
+    }
+  ]
+}