一、环境配置（基于 python3）

安装 python 依赖库

pip3 install pytest
pip3 install pytest-allure-adaptor

查看安装的 pytest 版本：

~ $ pytest --version
This is pytest version 5.1.2, imported from /usr/local/lib/python3.7/site-packages/pytest.py
setuptools registered plugins:
  pytest-rerunfailures-4.2 at /usr/local/lib/python3.7/site-packages/pytest_rerunfailures.py
  pytest-cov-2.6.0 at /usr/local/lib/python3.7/site-packages/pytest_cov/plugin.py
  allure-pytest-2.8.4 at /usr/local/lib/python3.7/site-packages/allure_pytest/plugin.py
  pytest-html-1.19.0 at /usr/local/lib/python3.7/site-packages/pytest_html/plugin.py
  pytest-metadata-1.7.0 at /usr/local/lib/python3.7/site-packages/pytest_metadata/plugin.py

二、生成 html 报告

1、生成 allure 临时 json 文件

pytest -s -q --alluredir ./allure-reports/

其中 allure_reports 为临时存放上述命令生成的 json 文件目录。

2、生成我们最终需要的 html 报告

allure generate ./allure-reports/ -o ./reports/ --clean

其中 reports 为我们最终生成的 html 报告目录，–clean 目的是先清空测试报告目录，再生成新的测试报告。最后，我们用浏览器打开里面的 index.html 即可看到最终的报告结果。

上面的两步也可以通过管道命令合并命令一键生成 html 报告：

pytest -s -q --alluredir ./allure-reports/ | allure generate ./allure-reports/ -o ./reports/ --clean

如果不想要两个目录，也可以把 allure-reports 目录替换为 reports 目录：

pytest -s -q --alluredir ./reports/ | allure generate ./reports/ -o ./reports/ --clean

上述的 pytest 命令是没有实时输出日志记录的，在实际项目中，我们需要输出实时日志，包括时间、文件名、行号等，可以用-o 设置相关参数，整个命令如下：

pytest -s -q --alluredir ./allure-reports/ -vv -o log_cli=true -o log_cli_level=INFO --log-date-format="%Y-%m-%d %H:%M:%S" --log-format="%(filename)s:%(lineno)s %(asctime)s %(levelname)s %(message)s"

执行结果如下：

测试代码如下：

# -*- coding: utf-8 -*-
# @file: test_requests.py.py
# @author: xulinzhou
# @date  : 2019/12/19

import requests
import json
import allure
import pytest

# # /json/home/homePage的headers
# top_headers = {
#     "Accept": "*/*",
#     "User-Agent": "AirMonitoring/3.0.6 (iPhone; iOS 11.4.1; Scale/2.00)",
#     "Accept-Language": "zh-Hans-CN;q=1, en-CN;q=0.9, zh-Hant-CN;q=0.8, zh-Hant-HK;q=0.7",
#     "Content-Type": "application/json",
#     "Content-Length": "383",
#     "Host": "epapi.moji.com",
#     "Accept-Encoding": "gzip",
#     "Connection": "keep-alive"
# }

# /json/home/homePage的data
top_data = {
    "common": {
        "cityid": "110000",
        "app_version": "45030006",
        "device": "iPhone9,1",
        "apnsisopen": "0",
        "platform": "iPhone",
        "uid": 2154359387456724365,
        "language": "CN",
        "identifier": "95DD96CD-A3BD-48C4-A507-E63FBBDED29C",
        "token": "<545a468e 92bed312 6fe0add2 999d3a52 b9d4422a 867060c2 2d676371 b0ec5ef9>"
    },
    "params": {
        "longitude": "116.2991775173611",
        "cityId": "110000",
        "latitude": "40.05391682942708"
    }
}

# # /json/epa/cityRank的headers
# city_rank_headers = {
#     "Accept": "*/*",
#     "User-Agent": "AirMonitoring/3.0.6 (iPhone; iOS 11.4.1; Scale/2.00)",
#     "Accept-Language": "zh-Hans-CN;q=1, en-CN;q=0.9, zh-Hant-CN;q=0.8, zh-Hant-HK;q=0.7",
#     "Content-Type": "application/json",
#     "Content-Length": "383",
#     "Host": "epapi.moji.com",
#     "Accept-Encoding": "gzip",
#     "Connection": "keep-alive"
# }

# /json/epa/cityRank的data
city_rank_data = {
    "common": {
        "cityid": "110000",
        "app_version": "45030006",
        "device": "iPhone9,1",
        "apnsisopen": "0",
        "platform": "iPhone",
        "uid": 2154359387456724365,
        "language": "CN",
        "identifier": "95DD96CD-A3BD-48C4-A507-E63FBBDED29C",
        "token": "<545a468e 92bed312 6fe0add2 999d3a52 b9d4422a 867060c2 2d676371 b0ec5ef9>"
    },
    "params": {
        "type": "1",
        "dataTime": "1567267200000"
    }
}

# 【空气质量发布】app的首页请求
top_url = "http://epapi.moji.com/json/home/homePage"

# 【空气质量发布】app的分析tab-月度排名
city_rank_url = "http://epapi.moji.com/json/epa/cityRank"

@allure.feature("首页")
def test_top():
    # 方法1：采用json:dict
    # print(type(top_data))
    s = requests.post(top_url, json=top_data)
    print(s)

    # # 方法二：通过json.dumps把data:dict转换为data:str
    # print(type(json.dumps(top_data)))
    # s = requests.post(top_url, headers=top_headers, data=json.dumps(top_data))
    # print(s)

    s = json.loads(s.text)
    print("Response:" + str(s))
    assert s["code"] == 0  # 校验接口返回是否正常


@allure.feature("分析tab-月度排名")
def test_city_rank():
    # 方法1：采用json:dict
    # print(type(city_rank_data))
    s = requests.post(city_rank_url, json=city_rank_data)
    print(s)

    s = json.loads(s.text)
    print("Response:" + str(s))
    assert s["code"] == 0  # 校验接口返回是否正常

if __name__ == "__main__":
    pytest.main()

    # run:
    # 1、pytest -s -q --alluredir ./allure-reports/
    # 2、allure generate ./allure-reports/ -o ./reports/ --clean
    # 3、open ./reports/index.html
    # or: pytest -s -q --alluredir ./reports/ | allure generate ./reports/ -o ./reports/ --clean