一、简介
在接口自动化实践过程中，已有很多工具，此处不再赘述。但为了灵活性，大家往往会选择自己写脚本，在自己实现的过程中，会有很多重复的代码，我把一些常用功能做了一些简单封装，话不多说，直接上 demo（我使用的语言为 python，目前只支持 python 2.7）
二、定义 API 请求
使用说明
from pithy import request, make_session
# 定义,method默认为get, data_type默认为json,使用时可按需传入
@request(url='请求的API的host + path', method='http method', data_type='json or form')
def sample(var1, var2):
"""
header 为请求的HEADERS字典
params 为请求url上的参数
body 为body参数
"""
headers = {'xx': xx}
params = {'xx': var1}
body = {'xx': var2}
# 使用
result = sample(var1, var2).to_json()
result = sample(var1, var2).to_content()
result = sample(var1, var2).get_cookie()
# 多个请求使用同一个session
session = make_session()
sample(var1, var2, session=session).to_json()
HTTP REST GET 请求
from pithy import request
# 定义
@request(url='http://api.k780.com:88')
def get_weather_by_coordinates(weaid):
params = {'app': 'weather.future',
'weaid': weaid,
'appkey': '22777',
'sign': '6d3b280c53912154b0d3cbdcc86c6f2a',
'format': 'json'}
# 获取json响应
json_result = get_weather_by_coordinates('beijing').to_json()
# 通过点号取字典值
result = json_result.result
# 通过object path(objectpath文档地址：http://objectpath.org/reference.html#CompleteSyntax)
# 取高温大于1, 低温大于-5的天
which_days = json_result('$.result[int(@.temp_high)>1 and int(@.temp_low>-5)].week')
for i in which_days:
print i
日志输出
******************************************************
1 接口描述:
get_weather_by_coordinates
2 请求url
url: http://api.k780.com:88
3 请求方法
method: get
4 请求headers:
{
"Accept": "application/json, text/plain, */*",
"Content-Type": "application/json"
}
5 请求url参数:
{
"app": "weather.future",
"appkey": "22777",
"format": "json",
"sign": "6d3b280c53912154b0d3cbdcc86c6f2a",
"weaid": "beijing"
}
6 响应结果:
{
"result": [
{
"cityid": "101010100",
"citynm": "北京",
"cityno": "beijing",
"days": "2017-01-16",
"humi_high": "0",
"humi_low": "0",
"humidity": "0℉/0℉",
"temp_high": "1",
"temp_low": "-5",
"temperature": "1℃/-5℃",
"weaid": "1",
"weather": "霾",
"weather_icon": "http://api.k780.com:88/upload/weather/d/53.gif",
"weather_icon1": "http://api.k780.com:88/upload/weather/n/53.gif",
"weatid": "33",
"weatid1": "33",
"week": "星期一",
"wind": "南风转北风",
"windid": "29",
"winp": "微风",
"winpid": "125"
},
{
"cityid": "101010100",
"citynm": "北京",
"cityno": "beijing",
"days": "2017-01-17",
"humi_high": "0",
"humi_low": "0",
"humidity": "0℉/0℉",
"temp_high": "5",
"temp_low": "-6",
"temperature": "5℃/-6℃",
"weaid": "1",
"weather": "霾转晴",
"weather_icon": "http://api.k780.com:88/upload/weather/d/53.gif",
"weather_icon1": "http://api.k780.com:88/upload/weather/n/0.gif",
"weatid": "33",
"weatid1": "1",
"week": "星期二",
"wind": "北风",
"windid": "20",
"winp": "微风",
"winpid": "125"
},
{
"cityid": "101010100",
"citynm": "北京",
"cityno": "beijing",
"days": "2017-01-18",
"humi_high": "0",
"humi_low": "0",
"humidity": "0℉/0℉",
"temp_high": "2",
"temp_low": "-5",
"temperature": "2℃/-5℃",
"weaid": "1",
"weather": "晴转阴",
"weather_icon": "http://api.k780.com:88/upload/weather/d/0.gif",
"weather_icon1": "http://api.k780.com:88/upload/weather/n/2.gif",
"weatid": "1",
"weatid1": "3",
"week": "星期三",
"wind": "南风转北风",
"windid": "29",
"winp": "微风",
"winpid": "125"
},
{
"cityid": "101010100",
"citynm": "北京",
"cityno": "beijing",
"days": "2017-01-19",
"humi_high": "0",
"humi_low": "0",
"humidity": "0℉/0℉",
"temp_high": "0",
"temp_low": "-9",
"temperature": "0℃/-9℃",
"weaid": "1",
"weather": "阴转晴",
"weather_icon": "http://api.k780.com:88/upload/weather/d/2.gif",
"weather_icon1": "http://api.k780.com:88/upload/weather/n/0.gif",
"weatid": "3",
"weatid1": "1",
"week": "星期四",
"wind": "西北风转北风",
"windid": "61",
"winp": "4-5级转3-4级",
"winpid": "54"
},
{
"cityid": "101010100",
"citynm": "北京",
"cityno": "beijing",
"days": "2017-01-20",
"humi_high": "0",
"humi_low": "0",
"humidity": "0℉/0℉",
"temp_high": "0",
"temp_low": "-8",
"temperature": "0℃/-8℃",
"weaid": "1",
"weather": "晴转多云",
"weather_icon": "http://api.k780.com:88/upload/weather/d/0.gif",
"weather_icon1": "http://api.k780.com:88/upload/weather/n/1.gif",
"weatid": "1",
"weatid1": "2",
"week": "星期五",
"wind": "西南风转北风",
"windid": "92",
"winp": "微风",
"winpid": "125"
},
{
"cityid": "101010100",
"citynm": "北京",
"cityno": "beijing",
"days": "2017-01-21",
"humi_high": "0",
"humi_low": "0",
"humidity": "0℉/0℉",
"temp_high": "3",
"temp_low": "-7",
"temperature": "3℃/-7℃",
"weaid": "1",
"weather": "多云转晴",
"weather_icon": "http://api.k780.com:88/upload/weather/d/1.gif",
"weather_icon1": "http://api.k780.com:88/upload/weather/n/0.gif",
"weatid": "2",
"weatid1": "1",
"week": "星期六",
"wind": "西北风",
"windid": "15",
"winp": "微风",
"winpid": "125"
},
{
"cityid": "101010100",
"citynm": "北京",
"cityno": "beijing",
"days": "2017-01-22",
"humi_high": "0",
"humi_low": "0",
"humidity": "0℉/0℉",
"temp_high": "3",
"temp_low": "-7",
"temperature": "3℃/-7℃",
"weaid": "1",
"weather": "晴",
"weather_icon": "http://api.k780.com:88/upload/weather/d/0.gif",
"weather_icon1": "http://api.k780.com:88/upload/weather/n/0.gif",
"weatid": "1",
"weatid1": "1",
"week": "星期日",
"wind": "西北风",
"windid": "15",
"winp": "微风",
"winpid": "125"
}
],
"success": "1"
}
星期二
星期三
星期六
星期日
三 定义 DB
这里使用 sqlalchemy orm,使用方法如下:
# 注意,不支持Sharding数据库
from pithy import db
sample_db= db("mysql://user:password@host:port/database?charset=utf8", 'sample_db')
# 以下为测试代码
from sample_db import table1, table2
query_result = session.query(table1).all()
# 如不使用导入功能，可使用下面的方法
table1 = sample_db.table1
四 代码地址
https://github.com/yuyu1987/pithy
下午有点忙，稍后再来完善
断言跟测试数据是怎么设计的？楼主
学习了~