Python全字段断言之DeepDiff模块详解

pip install deepdiff

from deepdiff import DeepDiff
# 对比file文件
f1, f2 = open('./data/a.txt', 'r', encoding='utf-8').read(), open('./data/b.txt', 'r', encoding='utf-8').read()
print(DeepDiff(f1, f2))

from deepdiff import DeepDiff
# 对比json文件
json1={
    'code': 0,
    "message": "成功",
    "data": {
    "total": 28,
    "id":123
    }
}
json2={
    'code':0,
    "message":"成功",
    "data": {
    "total": 29,
    }
}
print(DeepDiff(json1, json2))

from deepdiff import DeepDiff
import pytest
import requests
# DeepDiff在Pytest框架中的应用， 注意，对比的报文必须是字典格式！！！
class TestCase:
    expect = {
        'slideshow': {
        'author': 'Yours Truly',
        'date': 'date of publication',
        'slides': [{
        'title': 'Wake up to WonderWidgets!',
        'type': 'all'
        }, {
        'items': ['Why <em>WonderWidgets</em> are great', 'Who<em>buys</em> WonderWidgets'],
        'title': 'Overview',
        'type': 'all'
        }],
        'title': 'Sample Slide Show'
        }
}
    def setup(self):
        # 返回字典格式报文
        self.response = requests.get('http://www.httpbin.org.json').json()
    def test_case_01(self):
        print('用例对比结果：')
        print(DeepDiff(self.response, self.expect))
    def test_case_02(self):
        print('用例对比结果：')
        print(DeepDiff(self.response['slideshow']['author'], 'Yours Truly1'))
if __name__ == '__main__':
    pytest.main(['-s'])

print(DeepDiff(self.response,
self.expect,view='tree',ignore_order=True,ignore_string_case=True,exclude_paths=
{"root['slideshow']['date']"}))

cutoff_distance_for_pairs: (1 >= float > 0，默认值=0.3)

from deepdiff import DeepDiff
t1 = [[[1.0]]]
t2 = [[[20.0]]]
print(DeepDiff(t1, t2, ignore_order=True, cutoff_distance_for_pairs=0.3))
print(DeepDiff(t1, t2, ignore_order=True, cutoff_distance_for_pairs=0.2))
print(DeepDiff(t1, t2, ignore_order=True, cutoff_distance_for_pairs=0.1))

print(DeepDiff(b'hello', 'hello'))
print(DeepDiff(b'hello', 'hello', ignore_string_type_changes=True))

from deepdiff import DeepDiff
from decimal import Decimal
t1 = Decimal('10.01')
t2 = 10.01
print(DeepDiff(t1, t2))
print(DeepDiff(t1, t2, ignore_numeric_type_changes=True))

t1= {"name": "yanan", "pro": {"sh": "shandong", "city": ["zibo", "weifang"]}}
t2 = {"name": "changsha", "pro": {"sh": "shandong", "town": ["taian", "weifang"]}}
ddiff = DeepDiff(t1, t2, view='tree')
print(ddiff)
# 默认为text
ddiff = DeepDiff(t1, t2, view='text')
print(ddiff)

t1= {"name": "yanan", "pro": {"sh": "shandong", "city": ["zibo", "weifang"]}}
t2 = {"name": "changsha", "pro": {"sh": "shandong", "town": ["taian", "weifang"]}}
print(DeepDiff(t1, t2, view='tree').pretty())
print(DeepDiff(t1, t2, view='text').pretty())

t1 = {
'Author': '河马',
'wechat': 'ZZ666'
}
t2 = {
'Author': '河马',
'wechat': 'ZZ666',
'Blog' : 'https://www.hctestedu.com/'
}
t3 = {
'Author': '河马',
'wechat': 'ZZ777'
}
t4 = {
'Author': '河马',
'wechat': 777
}
t5 = [{
'Author': '河马',
'wechat': 'ZZ666'
}]
# Key值不同
print(DeepDiff(t1, t3).pretty())
# Key新增
print(DeepDiff(t1, t2).pretty())
# Key减少
print(DeepDiff(t2, t1).pretty())
# Key值类型改变
print(DeepDiff(t1, t4).pretty())
# 结构不同
print(DeepDiff(t1, t5).pretty())
# Key值相同
result = DeepDiff(t1, t1).pretty()
print(DeepDiff(t1, t1).pretty())
assert "" == result

from deepdiff import DeepSearch
obj = ["long somewhere", "string", 0, "somewhere great!"]
# 使用正则表达式
item = "some*"
ds = DeepSearch(obj, item, use_regexp=True)
print(ds)
# 大小写敏感
item = 'someWhere'
ds = DeepSearch(obj, item, case_sensitive=True)
print(ds)
item = 'some'
ds = DeepSearch(obj, item, case_sensitive=True)
print(ds)
# 强校验
item = 0
ds = DeepSearch(obj, item, strict_checking=True)
print(ds)
item = "0"
ds = DeepSearch(obj, item, strict_checking=True)
print(ds)

from deepdiff import grep
obj = ["long somewhere", "string", 0, "somewhere great!"]
item = "somewhere"
ds = obj | grep(item)
print(ds)

from deepdiff import extract
obj = {"a": [{'2': 'b'}, 3], "b": [4, 5]}
# root+键名+list下标+键名
path = "root[a][0]['2']"
print(extract(obj, path))