69 lines
2.0 KiB
Python
69 lines
2.0 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# @Time : 2022/6/2 22:43
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# @Author : 郭林莉
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#!/usr/bin/python3
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import xlrd
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from config.settings import ConfigHandler
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from ruamel.yaml import YAML
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import os
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yaml = YAML()
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def read_xls(filename):
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# 打开Excel文件
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data = xlrd.open_workbook(filename)
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# 读取第一个工作表和表名
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table = data.sheets()[0]
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tablesheet = data.sheet_names()[0]
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# 统计行数
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rows = table.nrows
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data = {} # 存放数据
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ymal_dirmctory = ConfigHandler.data_path + f'{tablesheet}'
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for v in range(1, rows):
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values = table.row_values(v)
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excel_yaml_path = str(values[10])
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print("excel_yaml_path",excel_yaml_path)
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yaml_path = ymal_dirmctory+excel_yaml_path[:-2]+'.yaml'
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# print('ymal_dirmctory', ymal_dirmctory)
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# print('yaml_path', yaml_path)
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if not os.path.exists(ymal_dirmctory):
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os.mkdir(ymal_dirmctory)
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if str(values[0]) == '同上':
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pass
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else:
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data["case_common"]=eval(values[0])
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case_name = excel_yaml_path[1:]
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print('名字',case_name)
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yamlassert = eval(values[11])
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if values[7] == '':
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data[case_name]={
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"host": str(values[1]),
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"url": str(values[2]), # 这里我只需要字符型数据，加了str(),根据实际自己取舍
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"method": str(values[3]),
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"detail": str(values[4]),
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"headers": eval(values[5]),
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"requestType": str(values[6]),
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"is_run": True,
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"data": eval(values[8]),
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"assert": yamlassert,
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'sql': ""
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}
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with open(yaml_path, mode='w', encoding='utf-8') as file:
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yaml.dump(data, file)
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return data
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dmdata = read_xls(ConfigHandler.file_path + r'\stp.xlsx')
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print(dmdata)
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# print(jsonpath.jsonpath(dddddd,"$..yamlpath"))
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