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项目源码

目录结构及项目介绍

整体目录结构，目录说明参考

测试用例结构类似httprunner写法，可参考demo

主要核心函数
用例读取转换json

import yaml
import main
import os
def yaml_r():curpath = f'{main.BASE_DIR}/quality_management_logic/ops_new/TestCaseCenter'yamlpath = os.path.join(curpath, "ops.yaml")f = open(yamlpath, 'r', encoding='utf-8')cfg = f.read()d = yaml.load(cfg,Loader=yaml.FullLoader)  # 用load方法转字典return d

测试用例格式处理函数

import ast
import yaml
import os
import datetime
import time
now_time = datetime.datetime.now()
now = datetime.datetime.strftime(now_time, '%Y-%m-%d %H:%M:%S')
logger = getlog(targetName='Case_Get_Data')
import openpyxl
def GetPreposition(mydict,pattern,res):'''获取value中的sql:param str::param pattern::param env::return:'''#字典类型的# pattern1=f'${pattern}:$'# res={'code': '', 'data': {}, 'flag': 'S', 'msg': ''}if isinstance(mydict, dict):  # 使用isinstance检测数据类型，如果是字典# if key in mydict.keys():  # 替换字典第一层中所有key与传参一致的key# if value in mydict.values():for key in mydict.keys():if isinstance(mydict[key],int) or mydict[key]==None:continueif str(pattern) in (mydict[key]):mydict[key] = eval((mydict[key]).split(pattern)[1])# for k in mydict.keys():  # 遍历字典的所有子层级，将子层级赋值为变量chdict，分别替换子层级第一层中所有key对应的value，最后在把替换后的子层级赋值给当前处理的keychdict = mydict[key]GetPreposition(chdict,pattern,res)if str(pattern) in str(mydict[key]):mydict[key] = eval(list(mydict[key])[0].split(pattern)[1])elif isinstance(mydict, list):  # 如是listfor element in mydict:  # 遍历list元素，以下重复上面的操作if isinstance(element, dict):# if value in element.values():for key in element.keys():if str(pattern) in str(element[key]):element[key] =eval(list(element[key])[0].split(pattern)[1])# for k in mydict.keys():  # 遍历字典的所有子层级，将子层级赋值为变量chdict，分别替换子层级第一层中所有key对应的value，最后在把替换后的子层级赋值给当前处理的keychdict = element[key]GetPreposition(chdict,pattern,res)if str(pattern) in str(element[key]):element[key] = eval(list(element[key])[0].split(pattern)[1])
def GetSql(dic,pattern='sql-',env='stg2'):'''获取用例中的sql:param dic::param pattern::param env::return:'''if isinstance(dic,dict):if re.match(pattern,str(list(dic.keys())[0]),re.I):logger.debug('有查数据库的变量，开始获取sql')try:sql=list(dic.values())[0]dbname=list(dic.keys())[0].split('-')[1]return list(DBmananger(env, dbname).callMysql(sql)[0].values())[0]except Exception as e:logger.error(e)return ''else:return False
def Issql(sql):if isinstance(sql,dict) :return Trueelse:return False
def GetSqll(dic,pattern='sql-',env='stg1'):'''获取value中的sql:param str::param pattern::param env::return:'''#字典类型的if isinstance(dic, dict):  # 使用isinstance检测数据类型，如果是字典for key in dic.keys():if isinstance(dic[key],int) or dic[key]==None:continueif pattern in (dic[key]):try:sql = (dic[key]).split(":")[1]dbname = (dic[key]).split(":")[0].split('-')[1]dic[key] = list(DBmananger(env, dbname).callMysql(sql)[0].values())[0]except Exception as e:logger.error(e)# for k in mydict.keys():  # 遍历字典的所有子层级，将子层级赋值为变量chdict，分别替换子层级第一层中所有key对应的value，最后在把替换后的子层级赋值给当前处理的keychdict = dic[key]GetSqll(chdict, pattern, env)elif isinstance(dic, list):  # 如是listfor element in dic:  # 遍历list元素，以下重复上面的操作if isinstance(element, dict):# if value in element.values():for key in element.keys():if isinstance(element[key], int) or element[key] == None:continueif pattern in element[key]:try:sql = element[key].split(":")[1]dbname = element[key].split(":")[0].split('-')[1]element[key] = list(DBmananger(env, dbname).callMysql(sql)[0].values())[0]except Exception as e:logger.error(e)# for k in mydict.keys():  # 遍历字典的所有子层级，将子层级赋值为变量chdict，分别替换子层级第一层中所有key对应的value，最后在把替换后的子层级赋值给当前处理的keychdict = element[key]GetSqll(chdict, pattern, env)else:for i in range(len(dic)):if isinstance(dic[i], int) or dic[i] == None:continueif pattern in dic[i]:try:sql = dic[i].split(":")[1]dbname =dic[i].split(":")[0].split('-')[1]dic[i] = list(DBmananger(env, dbname).callMysql(sql)[0].values())[0]except Exception as e:logger.error(e)
def GetExpectedResults(dic):'''获取预期结果值，dict的value必须是list，有且两个值，第一个是位置，第二个是值:param dic::return:'''ExpectedResults = dic.get("ExpectedResults")ExpectedResults=ast.literal_eval(str(ExpectedResults))if isinstance(ExpectedResults, list):  # 如是listif len(ExpectedResults)==2:return ExpectedResultselse:return ['res', '']
def GetFun(dic,env,pattern='fun'):'''获取用例中的自定义函数:param dic::param pattern::return:'''if isinstance(dic, dict):if re.match(pattern,str(list(dic.keys())[0]),re.I):logger.debug(f'有调用公共函数，开始获取调用函数:{list(dic.values())[0]}')return eval(list(dic.values())[0].replace('env',env))else:return False
def yaml_r(yamlpath):'''yaml文件转换成json:param yamlpath::return:'''with open(yamlpath, 'r', encoding='utf-8') as f:# f = open(yamlpath, 'r', encoding='utf-8')cfg = f.read()d = yaml.load(cfg,Loader=yaml.FullLoader)  # 用load方法转字典return ddef File_Name(file_dir):L = []for root, dirs, files in os.walk(file_dir):for file in files:if os.path.splitext(file)[1] == '.yaml':L.append(os.path.join(root, file))return L
def to_extract(key):return f"${key}$"# 遍历嵌套字典或list并替换字典的key
def update_allvalues(mydict, value, env='stg1'):tovalue=GetSqll(mydict, env)if isinstance(mydict, dict):  # 使用isinstance检测数据类型，如果是字典# if key in mydict.keys():  # 替换字典第一层中所有key与传参一致的key# if value in mydict.values():for key in mydict.keys():if value in mydict[key] :mydict[key] = tovalue# for k in mydict.keys():  # 遍历字典的所有子层级，将子层级赋值为变量chdict，分别替换子层级第一层中所有key对应的value，最后在把替换后的子层级赋值给当前处理的keychdict = mydict[key]update_allvalues(chdict, value, tovalue)if value in mydict[key] :mydict[key] = tovalueelif isinstance(mydict, list):  # 如是listfor element in mydict:  # 遍历list元素，以下重复上面的操作if isinstance(element, dict):# if value in element.values():for key in element.keys():if value in element[key] :element[key] = tovalue# for k in mydict.keys():  # 遍历字典的所有子层级，将子层级赋值为变量chdict，分别替换子层级第一层中所有key对应的value，最后在把替换后的子层级赋值给当前处理的keychdict = element[key]update_allvalue(chdict, value, tovalue)if value in str(element[key]) :element[key] = tovalue# 遍历嵌套字典或list并替换字典的value
def update_allvalue(mydict, value, tovalue):if isinstance(mydict, dict):  # 使用isinstance检测数据类型，如果是字典# if key in mydict.keys():  # 替换字典第一层中所有key与传参一致的key# if value in mydict.values():for key in mydict.keys():if str(value) in str(mydict[key]):mydict[key] = (str(mydict[key]).replace(value,tovalue))# for k in mydict.keys():  # 遍历字典的所有子层级，将子层级赋值为变量chdict，分别替换子层级第一层中所有key对应的value，最后在把替换后的子层级赋值给当前处理的keychdict = mydict[key]update_allvalue(chdict, value, tovalue)if str(value) in str(mydict[key]):mydict[key] = (str(mydict[key]).replace(value, tovalue))elif isinstance(mydict, list):  # 如是listfor element in mydict:  # 遍历list元素，以下重复上面的操作if isinstance(element, dict):# if value in element.values():for key in element.keys():if   str(value) in str(element[key]):element[key] = (str(element[key]).replace(value, tovalue))# for k in mydict.keys():  # 遍历字典的所有子层级，将子层级赋值为变量chdict，分别替换子层级第一层中所有key对应的value，最后在把替换后的子层级赋值给当前处理的keychdict = element[key]update_allvalue(chdict, value, tovalue)if str(value) in str(element[key]):element[key] = (str(element[key]).replace(value, tovalue))
def re_search(str,pattern='\\$(.*)\\$'):#查找match_str=re.search(pattern,str).group()return match_str
def nowtime():now_time = datetime.datetime.now()now = datetime.datetime.strftime(now_time, '%Y-%m-%d %H:%M:%S')# date_now=datetime.datetime.strftime(now_time, '%Y-%m-%d')date = (int(time.mktime(time.strptime(now, "%Y-%m-%d %H:%M:%S"))))return now, datedef readexcle(exclepath):wb = openpyxl.load_workbook(exclepath)# 获取所有工作表名names = wb.sheetnames# wb.get_sheet_by_name(name) 已经废弃,使用wb[name] 获取指定工作表sheet = wb[names[0]]# 获取最大行数maxRow = sheet.max_row# 获取最大列数maxColumn = sheet.max_columna12 = sheet.cell(row=1, column=2).value# 定义结果变量listresult = []for i in range(2, (maxRow)):casedic = {}for j in range(1, (maxColumn) + 1):if j == 2 or j == 6 or j == 7:casedic[sheet.cell(row=1, column=j).value] = eval(sheet.cell(row=i, column=j).value)else:casedic[sheet.cell(row=1, column=j).value] = sheet.cell(row=i, column=j).valueresult.append(casedic)return result