A recursive json comparison library that handles list orders and fuzzy types
Project description
A library to compare any json string/bytes/json-like-objects.
Version 2.0 is a rewrite to support more clear and easy-to-use functions(backward incompatible, so I started a new repo).
Version 1.20 is an enhance version that supports omit_path to ignore omitted keys in dict, and fixes many bugs, esp counting message inaccurate issue when same length & element collections; and wrong not_found info when different length under ignore_list_seq=True
Version 1.19 is an enhance version that fixes small bugs with strict_number_type supported to make 1 != 1.0.
Version 1.18 is a quickfix + enhance version that fixes custom handlers cannot be passed recursively bug, and float_fuzzy_digits can be passed directly.
Version 1.17 is an enhance version that supports custom handlers to handle outputs.
Version 1.16 is a quickfix version that supports Python 3.8 (and 3.9 as well).
Features
Compare jsons and print the differences (what and where they are, recursion supported). Useful for interface testing.
Config whether it will ignore the order of items in a list or not, recursively.
Both python 2.6-2.7 and 3.5-3.9 supported. (New)
Regular expressions supported for string to skip unconcerned keys or just to assert the format.
Compact str and unicode (or bytes and str in python3), they are considered equal. Good for non ascii coding languages.
Both json string (unicode or binary str) and json object (dict, list or tuple) are supported.
Support tuples, so results from pymysql.cursors.DictCursor can compare with interface response directly.
Json type legal check(strict_json).
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.
The ignore_path list now support regular expressions too. You can use [r“^(/:raw-latex:`d+`/a)”] as ignore_path to skip all keys named “a” in [{“a”: 1, “b”: 2}, {“a”: 1, “b”: 4}] but still compare the value of “b”. (New)
Useful when compare multi records in database query result (dictionary cursor) with some fields unconcerned.
Fuzzy equal when handling floats.
Custom handlers supported.
Strict_number_type option to make int(1) != float(1.0) supported.
Emit keys in dict compare supported. (New)
QuickStart
install
pip install jsoncomparedeep
or update
pip install -U jsoncomparedeep
a simple example
from json_compare import compare
print(compare({"key1":["v1","v2"],"key2":{"key3":1}},{"key1":["v2","v1"],"key2":{"key3":2}}))
to see
a is {'key1': ['v1', 'v2'], 'key2': {'key3': 1}} b is {'key1': ['v2', 'v1'], 'key2': {'key3': 2}} ignore_list_seq = True, re_compare = True, ignore_path = None, omit_path = None, float_fuzzy_digits = 0 different value at /key2/key3 a: 1 b: 2 False
For more demos and information, just install it and visit the test file test_json_compare.py in Your_Python_Path/Lib/site-packages/json_compare/
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.
Bug report
Issues and bugs report to rainydew@qq.com.
Homepage icon leads to my Github project page, issues / PRs / stars are welcomed :)
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