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A recursive Json comparing library that handles list orders and fuzzy types

Project description

A library to compare any json string/json-like objects.

Features

  • Compare jsons and print the differences (and where they are, recursion supported). Useful for interface testing.
  • Ignore the order of items in a list or not, recursively.
  • Both python 27 and 36 supported.
  • Regular expression supported for string to skip unconcerned keys or just to assert the format.
  • Compact string and unicode (or bytes and str in python3), they are considered equal. Good for non ascii coding languages.
  • Support tuples, so results from pymysql.cursors.DictCursor can compare with interface response directly.
  • Json type legal check.
  • Support skipping anywhere using argument like ignore_path=[“/a/1/k”, “/a/1/l”], dict keys or list indexes. Skipped fields are regarded as match. (New)

QuickStart

pip install deepjsoncompare
from json_compare import Jcompare
cp=Jcompare()
print(cp.compare({"key1":["v1","v2"],"key2":{"key3":1}},{"key1":["v2","v1"],"key2":{"key3":2}}))

to see

a is {'key2': {'key3': 1}, 'key1': ['v1', 'v2']}
b is {'key2': {'key3': 2}, 'key1': ['v2', 'v1']}
ignore_list_seq = True, re_compare = True
different value at /key2/key3
a: 1
b: 2
False

for more demo and information, just install it and visit the test file test_json_compare.py in Your Python Path/Lib/site-packages/deepjsoncompare/

Small Hints

  • Datetime in SQL result is not JSON serializable type, use something like CAST(create_time as CHAR) ‘create_time’ in SQL statement to solve it.

Todo

  • Fuzzy equal when handling floats.

Bug report

Project details


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This version
History Node

1.12

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