Python+Pytest+Yaml+Request+Allure框架源代码之(一)common公共方法封装

common模块:

  • get_path.py:获取路径方法
python 复制代码
# -*- coding: UTF-8 -*-
import os

# 项目根目录
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))

# 配置文件目录
CONFIG_DIR = os.path.join(BASE_DIR,'config')

# 测试用例文件目录
TESTCASES_DIR = os.path.join(BASE_DIR,'testcases')

#data文件目录
DATA_DIR = os.path.join(BASE_DIR,'data')

#日志文件目录
LOGS_DIR=os.path.join(BASE_DIR,'logs')


if __name__ == '__main__':
    print(LOGS_DIR)
  • logger_util.py:日志封装
python 复制代码
import logging
import time
from common.get_path import *
from common.yaml_util import read_file


class LoggerUitl:
    def create_log(self,logger_name='log'):
        # 创建一个日志对象
        self.logger = logging.getLogger(logger_name)
        # 设置全局的日志级别(DEBUG<INFO<WARNING<ERROR<CRITICAL)
        self.logger.setLevel(logging.DEBUG)
        # 防止日志重复
        if not self.logger.handlers:
            #------------文件日志--------------
            # 获取日志文件的名称
            self.file_log_path = LOGS_DIR+'/'+ read_file('/config/config.yml','log','log_name') + str(int(time.time()))+".log"
            # 创建文件日志的控制器
            self.file_handler = logging.FileHandler(self.file_log_path,encoding='utf-8')
            # 设置文件日志的级别
            file_log_level= str(read_file('/config/config.yml','log','log_level')).lower()
            if file_log_level == 'debug':
                self.file_handler.setLevel(logging.DEBUG)
            elif file_log_level == 'info':
                self.file_handler.setLevel(logging.INFO)
            elif file_log_level == 'waring':
                self.file_handler.setLevel(logging.WARNING)
            elif file_log_level == 'error':
                self.file_handler.setLevel(logging.ERROR)
            elif file_log_level == 'critical':
                self.file_handler.setLevel(logging.CRITICAL)
            # 设置文件日志的格式
            self.file_handler.setFormatter(logging.Formatter(read_file('/config/config.yml','log','log_format')))
            # 将控制器加入到日志对象
            self.logger.addHandler(self.file_handler)

            #------------控制台日志--------------
            # 创建控制台日志的控制器
            self.console_handler = logging.StreamHandler()
            # 设置控制台日志的级别
            console_log_level= read_file('/config/config.yml','log','log_level').lower()
            if console_log_level == 'debug':
                self.console_handler.setLevel(logging.DEBUG)
            elif console_log_level == 'info':
                self.console_handler.setLevel(logging.INFO)
            elif console_log_level == 'waring':
                self.console_handler.setLevel(logging.WARNING)
            elif console_log_level == 'error':
                self.console_handler.setLevel(logging.ERROR)
            elif console_log_level == 'critical':
                self.console_handler.setLevel(logging.CRITICAL)
            # 设置控制台日志的格式
            self.console_handler.setFormatter(logging.Formatter(read_file('/config/config.yml','log','log_format')))
            # 将控制器加入到日志对象
            self.logger.addHandler(self.console_handler)

        return self.logger

# 函数:输出正常日志
def my_log(log_massage):
    LoggerUitl().create_log().info(log_massage)

# 函数:输出错误日志
def error_log(log_massage):
    LoggerUitl().create_log().error(log_massage)
    raise Exception(log_massage)


if __name__ == '__main__':
    my_log('zhangweixu')

- parameters_until.py:传参方式方法封装

python 复制代码
import csv
import json
import traceback
import yaml
from common.get_path import *
from common.logger_util import error_log


# 读取csv文件
def read_csv_file(csv_file):
    '''c参数说明'''
    csv_list = []
    path = BASE_DIR+"/"+csv_file
    with open(path,encoding='utf-8') as f:
        csv_data = csv.reader(f)
        for row in csv_data:
            csv_list.append(row)
    return csv_list

# 读取yaml文件
def read_file(yml_file):
    try:
        path = BASE_DIR+yml_file
        with open(path,encoding='utf-8') as f:
            caseinfo = yaml.load(f,Loader=yaml.FullLoader)
            if len(caseinfo)>=2:
                return caseinfo
            else:
                caseinfo_keys = dict(*caseinfo).keys()
                if 'parameters' in caseinfo_keys:
                    new_caseinfo = analysis_parameters(*caseinfo)
                    return new_caseinfo
                else:
                    return caseinfo
    except Exception as f:
        error_log("读取用例文件报错:异常信息:%s"%str(traceback.format_exc()))


# 分析参数化
def analysis_parameters(caseinfo):
    try:
        caseinfo_keys = dict(caseinfo).keys()
        if 'parameters' in caseinfo_keys:
            for key, value in dict(caseinfo['parameters']).items():
                caseinfo_str = json.dumps(caseinfo)
                key_list = str(key).split('-')
                # 规范csv数据的写法
                length_flag = True
                csv_list = read_csv_file(value)
                one_row_data = csv_list[0]
                for csv_data in csv_list:
                    if len(csv_data) != len(one_row_data):
                        length_flag = False
                        break
                # 解析
                new_caseinfo = []
                if length_flag:
                    for x in range(1, len(csv_list)):  # x代表行
                        temp_caseinfo = caseinfo_str
                        for y in range(0, len(csv_list[x])):  # y代表列
                            if csv_list[0][y] in key_list:
                                temp_caseinfo = temp_caseinfo.replace("$csv{" + csv_list[0][y] + "}", csv_list[x][y])
                        new_caseinfo.append(json.loads(temp_caseinfo))
                return new_caseinfo
        else:
            return caseinfo
    except Exception as f:
        error_log("分析parameters参数异常:异常信息:%s"%str(traceback.format_exc()))


if __name__ == '__main__':
    print(read_file('/testcases/weixin/get_token.yml'))
  • requests_util.py:请求方式方法封装
python 复制代码
# -*- coding: UTF-8 -*-
import json
import re
import traceback
import jsonpath
import requests
# from common.parameters_until import read_file
from common.logger_util import my_log, error_log
from common.yaml_util import *
from debugtalk import DebugTalk


class Requestutil:

    session = requests.session()

    def __init__(self):
        self.base_url =""
        self.last_headers={}

    # 规范功能测试YAML测试用例文件的写法
    def analysis_yaml(self,caseinfo):
        try:
            # 1.必须有的四个一级关键字:name,base_url,requests,validate
            caseinfo_keys = dict(caseinfo).keys()
            if 'name' in caseinfo_keys and 'base_url' in caseinfo and 'request' in caseinfo and 'validate' in caseinfo:
                # 2.request关键字必须包含两个二级关键字:method,url
                request_keys = dict(caseinfo['request']).keys()
                if 'method' in request_keys and 'url' in request_keys:
                    # 参数(params,data,json),请求头,文件上传这些都不能约束.
                    name = caseinfo['name']
                    self.base_url = caseinfo['base_url']
                    method = caseinfo['request']['method']
                    del caseinfo['request']['method']
                    url = caseinfo['request']['url']
                    del caseinfo['request']['url']
                    headers = None
                    if jsonpath.jsonpath(caseinfo,'$..headers'):
                        headers = caseinfo['request']['headers']
                        del caseinfo['request']['headers']
                    files = None
                    if jsonpath.jsonpath(caseinfo, '$..files'):
                        files = caseinfo['request']['files']
                        for key,value in dict(files).items():
                            files[key] = open(value,'rb')
                        del caseinfo['request']['files']
                    # 把method,url,headers,files这四个数据从caseinfo['request']去掉之后再把剩下的传给kwargs
                    res = self.send_request(name=name,method=method,url=url,headers=headers,files=files,**caseinfo['request'])
                    return_text = res.text
                    status_code = res.status_code
                    my_log("响应文本信息:%s"%return_text)
                    my_log("响应json信息:%s"%res.json())
                    # 提取接口关联的变量,既要支持正则表达式,又要支持json提取
                    if 'extract' in caseinfo_keys:
                        for key,value in dict(caseinfo['extract']).items():
                            # 正则表达式提取
                            if '(.*?)' in value or '(.+?)' in value:
                                ze_value = re.search(value,return_text)
                                if ze_value:
                                    extract_data = {key:ze_value.group(1)}
                                    write_file('/config/extract.yml',extract_data)
                                    print(extract_data)
                            else:   # json提取
                                return_json = res.json()  # 前提是要返回json格式
                                extract_data = {key:return_json[value]}
                                write_file('/config/extract.yml', extract_data)
                                print(extract_data)
                    # 断言的封装
                    yq_result = caseinfo['validate']
                    sj_result = res.json()
                    self.validate_result(yq_result, sj_result, status_code)
                else:
                    error_log('request关键字必须包含两个二级关键字:method,url')
            else:
                error_log('必须有的四个一级关键字:name,base_url,request,validate')
        except Exception as f:
            error_log("分析YAML文件异常:异常信息:%s" % str(traceback.format_exc()))

    #  统一替换方法,data可以是url(string),也可以是参数(字典,字典中包含有列表),也可以是请求头(字典).
    def replace_value(self,data):
        # 字典类型转换成字符串
        if data and isinstance(data,dict):  # 如果data不为空并且数据类型为字典
            str_data = json.dumps(data)
        else:
            str_data = data
        # 替换值
        for i in range(1, str_data.count('{{') + 1):
            if "{{" in str_data and "}}" in str_data:
                start_index = str_data.index("{{")
                end_index = str_data.index("}}",start_index)
                old_value = str_data[start_index:end_index + 2]
                new_value = read_file("/config/extract.yml", old_value[2:-2])
                str_data = str_data.replace(old_value, new_value)
        # 还原数据类型
        if data and isinstance(data,dict):  # 如果data不为空并且数据类型为字典
            data = json.loads(str_data)
        else:
            data = str_data
        return data

    #  统一替换方法,data可以是url(string),也可以是参数(字典,字典中包含有列表),也可以是请求头(字典).
    def replace_load(self, data):
        # 字典类型转换成字符串
        if data and isinstance(data, dict): # 如果data不为空并且数据类型为字典
            str_data = json.dumps(data)
        else:
            str_data = data
        # 替换值
        for i in range(1, str_data.count('${') + 1):
            if "${" in str_data and "}" in str_data:
                start_index = str_data.index("${")
                end_index = str_data.index("}", start_index)
                old_value = str_data[start_index:end_index + 1]
                function_name = old_value[2:old_value.index('(')]
                args_value = old_value[old_value.index('(')+1:old_value.index(')')]
                # 反射(通过一个函数的字符串直接去调用这个方法)
                new_value = getattr(DebugTalk(),function_name)(*args_value.split(','))
                str_data = str_data.replace(old_value, str(new_value))
        # 还原数据类型
        if data and isinstance(data, dict):   # 如果data不为空并且数据类型为字典
            data = json.loads(str_data)
        else:
            data = str_data
        return data

    # 统一发送请求
    def send_request(self,name,method,url,headers=None,files=None,**kwargs):
        try:
            # 处理method
            self.last_method = str(method).lower()
            # 处理基础路径
            self.url=self.replace_load(self.base_url) + self.replace_value(url)
            # 处理请求头
            if headers and isinstance(headers,dict):
                self.last_headers=self.replace_value(headers)
            # 最核心的地方:请求数据如何去替换:可能是params,data,json
            for key,value in kwargs.items():
                if key in ['params','data','json']:
                    # 替换{{}}格式
                    value = self.replace_value(value)
                    # 替换${}格式
                    value = self.replace_load(value)
                    kwargs[key] = value
            # 收集日志
            my_log('-----------------接口请求开始-----------------')
            my_log("接口名称:%s"%name)
            my_log("请求方式:%s"%self.last_method)
            my_log("请求路径:%s"%self.url)
            my_log("请求头:%s"%self.last_headers)
            if 'params' in kwargs.keys():
                my_log("请求参数:%s"%kwargs['params'])
            elif 'data' in kwargs.keys():
                my_log("请求参数:%s"%kwargs['data'])
            elif 'json' in kwargs.keys():
                my_log("请求参数:%s"%kwargs['json'])
            my_log("文件上传:%s"%files)
            # 发送请求
            res = Requestutil.session.request(method=self.last_method,url=self.url,headers=self.last_headers,**kwargs)
            # print(res.request.headers)
            # print(res.text)
            # print(res.json())
            return res
        except Exception as f:
            error_log("发送请求异常:异常信息:%s"%str(traceback.format_exc()))

    # 断言封装
    def validate_result(self,yq_result,sj_result,status_code):
        try:
            '''
            :param yq_result:预期结果
            :param sj_result:实际结果
            :param status_code:实际状态码
            :return:
            '''
            # 收集日志
            my_log("预期结果:%s"%yq_result)
            my_log("实际结果:%s"%sj_result)
            #判断是否断言成功,0成功,1失败
            flag = 0
            # 解析ƒ
            if yq_result and isinstance(yq_result,list):
                for yq in yq_result:
                    for key,value in dict(yq).items():
                        # 判断断言方式
                        if key=='equals':
                            for assert_key,assert_value in dict(value).items():
                                if assert_key=='status_code':
                                    if status_code!=assert_value:
                                        flag=flag+1
                                        error_log("断言失败:"+assert_key+"不等于"+str(assert_value)+"")
                                else:
                                    key_list = jsonpath.jsonpath(sj_result,'$..%s'%assert_key)
                                    if key_list:
                                        if assert_value not in key_list:
                                            flag = flag + 1
                                            error_log("断言失败:"+assert_key+"不等于"+str(assert_value)+"")
                                    else:
                                        flag = flag + 1
                                        error_log("断言失败:返回结果中不存在"+assert_key+"")
                        elif key=='contains':
                            if value not in json.dumps(sj_result):
                                flag = flag + 1
                                error_log("断言失败:返回结果中不包含字符串"+value+"")
                        else:
                            error_log('框架不支持此断言方式')
            assert flag==0
            my_log('接口请求成功')
            my_log('-----------------接口请求结束-----------------\n')
        except Exception as f:
            my_log('接口请求失败')
            my_log('-----------------接口请求结束-----------------\n')
            error_log("断言异常:异常信息:%s" % str(traceback.format_exc()))


if __name__ == '__main__':
    # url = "/cgi-bin/tags/update?access_token={{access_token}}&a=c{{csrf_token}}"
    # for i in range(1,url.count("{{")+1):
    #     if "{{" in url and "}}" in url:
    #         start_index = url.index("{{")
    #         end_index = url.index("}}")
    #         old_value = url[start_index:end_index+2]
    #         new_value = read_file('/config/extract.yml',old_value[2:-2])
    #         url = url.replace(old_value,new_value)
    #
    #         print(old_value,new_value)
    #         print(url)


    # dict_data = {'name': '获取access_token统一鉴权码', 'base_url': 'https://api.weixin.qq.com', 'request': {'method': 'GET', 'url': '/cgi-bin/token', 'params': {'grant_type': 'client_credential', 'appid': 'wx9b755d429f6fb216', 'secret': 'b963db0b97c8487b0cb920a240bd78e3'}}, 'validate': [{'eq': ['status_code', 200]}]}
    # # print(dict_data.pop('name'))
    # del dict_data['name']
    # print(dict_data)

    json_data = {"tag": {"id": 100, "name": "CesareCheung${get_random_number(100000,999999)}" }}
    result = Requestutil('base', 'base_weixin_url').replace_load(json_data)
    print(result)
  • yaml_util.py:文件读取写入方法
python 复制代码
# -*- coding: UTF-8 -*-
import os
import yaml
from common.get_path import *


# 读取yml文件
def read_file(yml_file,one_node=None,two_node=None):
    path = BASE_DIR+yml_file
    with open(path,encoding='utf-8') as f:
        value = yaml.load(f,Loader=yaml.FullLoader)
        if one_node and two_node:
            return value[one_node][two_node]
        elif one_node:
            return value[one_node]
        else:
            return value

# 写入yml文件
def write_file(yml_file,data):
    path = BASE_DIR+yml_file
    with open(path,encoding='utf-8',mode='a') as f:
        yaml.dump(data, stream=f,allow_unicode=True)

# 清空yml文件
def clean_file(yml_file):
    path = BASE_DIR+yml_file
    with open(path,encoding='utf-8',mode='w') as f:
        f.truncate()

if __name__ == '__main__':
    # print(read_file('/config.yml',"base",'base_info_url'))
    print(read_file('/config/config.yml','log','log_name'))
相关推荐
谈谈叭19 分钟前
Javascript中的深浅拷贝以及实现方法
开发语言·javascript·ecmascript
lx学习20 分钟前
Python学习26天
开发语言·python·学习
qq_273900231 小时前
pytorch register_buffer介绍
人工智能·pytorch·python
大今野1 小时前
python习题练习
开发语言·python
爱编程的鱼1 小时前
javascript用来干嘛的?赋予网站灵魂的语言
开发语言·javascript·ecmascript
q567315232 小时前
用 PHP或Python加密字符串,用iOS解密
java·python·ios·缓存·php·命令模式
捕鲸叉2 小时前
C++设计模式和编程框架两种设计元素的比较与相互关系
开发语言·c++·设计模式
未知陨落3 小时前
数据结构——二叉搜索树
开发语言·数据结构·c++·二叉搜索树
大波V53 小时前
设计模式-参考的雷丰阳老师直播课
java·开发语言·设计模式
无敌最俊朗@3 小时前
unity3d————接口基础知识点
开发语言·c#