251106更新

Excel处理/main.py

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+# -*- coding: utf-8 -*-
+
+"""
+就excel工作表进行处理，包括就指定字段解析JSON
+"""
+
+from json import loads
+
+from pandas import DataFrame, read_excel
+
+from utils.pandas_extension import save_as_workbook
+
+# 打开并读取指定工作工作表（默认以字符串读取）
+sheet = read_excel(io="dataset.xlsx", sheet_name="Sheet1", dtype=str)
+
+dataset = []
+
+for index, row in sheet.iterrows():
+    # 就指定字段解析为JSON
+    response = loads(row["response"])
+
+    data = {}
+
+    # 根据深圳快瞳票据查验要求解析查验结果
+    # 状态码
+    status = response.get("status", "")
+    # 错误码
+    code = response.get("code", "")
+    # 若状态码为200且错误码为10000，则定义为响应成功
+    if status == 200 and code == 10000:
+        # 查验类型，若查验类型为003081则为医疗收费票据=，003082则为增值税发票
+        match response.get("data").get(
+            "productCode"
+        ):
+            # 解析医疗收费票据
+            case "003081":
+                data["发票号"] = response.get("data").get(
+                    "billNumber"
+                )
+                # 查验结果
+                match response.get("data").get("flushedRed"):
+                    case "true":
+                        data["查验结果"] = "正常"
+                    case "false":
+                        data["查验结果"] = "已红冲"
+
+            # 解析增值税发票
+            case "003082":
+                data["发票号"] = (
+                    response.get("data").get("details").get("number")
+                )
+                # 查验结果
+                match response.get("data").get("details").get(
+                    "invoiceTypeNo"
+                ):
+                    case "0":
+                        data["查验结果"] = "正常"
+                    case "1":
+                        data["查验结果"] = "无法查验"
+                    case "2" | "3" | "7" | "8":
+                        data["查验结果"] = "已红冲"
+
+    # 若状态码为400且错误码为10001或10100，则定义为假票
+    elif status == 400 and (code == 10001 or code == 10100):
+        data["查验结果"] = "假票"
+
+    else:
+        data["查验结果"] = "无法查验"
+
+    dataset.append(data)
+
+# 本地保存
+save_as_workbook(worksheets=[("Sheet1", DataFrame(data=dataset, dtype=str))], workbook_name="results.xlsx")