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