A highly flexible json diff framework for python.
Project description
JYCM
A flexible json diff framework for minimalist.
JYCM = Json You-Cha-Ma (「is there a difference」in Chinese)
Reference
-
- how results are reported in JYCM is learnt from this amazing framework.
- how TreeLevel is designed in JYCM is learnt from this amazing framework.
-
- Fuzzy matching part of JYCM is learnt from this amazing framework.
Install
pip install jycm
Renderer
Yes! JYCM has a rendering tool out of the box!
Document
Use JYCM with viewer directly from Terminal
Easy
python -m jycm --help
# Usage: python -m jycm [OPTIONS]
# Options:
# --interactive Enter interactive mode
# --left TEXT Left Json
# --right TEXT Right Json
# --rules TEXT Rules
# --output TEXT The folder where the results will be dumped.
# --open Open the browser; This is valid only if you specify the
# output paramter.
# --help Show this message and exit.
Example
Use
- mac/linux
python -m jycm --show \
--left="{\"normal-string\":\"aaaaa\",\"ignore_me-string\":\"aaaaa\",\"normal-list-1\":[{\"val\":1},{\"val\":2},{\"val\":3},{\"val\":4},{\"val\":5}],\"set_in_set\":[{\"id\":1,\"label\":\"label:1\",\"set\":[1,2,3,4,5]},{\"id\":2,\"label\":\"label:2\",\"set\":[4,5,6,7,8]}]}" \
--right="{\"normal-string\":\"bbbbb\",\"ignore_me-string\":\"bbbbb\",\"normal-list-1\":[{\"val\":1},{\"val\":9},{\"val\":3},{\"val\":8},{\"what\":5}],\"set_in_set\":[{\"id\":2,\"label\":\"label:2\",\"set\":[6,5,4,7]},{\"id\":1,\"label\":\"label:1\",\"set\":[3,2,1,4,8,9]}]}" \
--rules="[{\"operation\":\"ignore\",\"value\":\"^ignore_me.*\"},{\"value\":\"^set_in_set$\",\"operation\":\"operator:list:ignoreOrder\"},{\"value\":\"set_in_set->\\\\[\\\\d+\\\\]->set\",\"operation\":\"operator:list:ignoreOrder\"}]"
- or on windows:
python -m jycm --show --left="{'normal-string': 'aaaaa', 'ignore_me-string': 'aaaaa', 'normal-list-1': [{'val': 1}, {'val': 2}, {'val': 3}, {'val': 4}, {'val': 5}], 'set_in_set': [{'id': 1, 'label': 'label:1', 'set': [1, 2, 3, 4, 5]}, {'id': 2, 'label': 'label:2', 'set': [4, 5, 6, 7, 8]}]}" --right="{'normal-string': 'bbbbb', 'ignore_me-string': 'bbbbb', 'normal-list-1': [{'val': 1}, {'val': 9}, {'val': 3}, {'val': 8}, {'what': 5}], 'set_in_set': [{'id': 2, 'label': 'label:2', 'set': [6, 5, 4, 7]}, {'id': 1, 'label': 'label:1', 'set': [3, 2, 1, 4, 8, 9]}]}" --rules="[{'operation': 'ignore', 'value': '^ignore_me.*'}, {'value': '^set_in_set$', 'operation': 'operator:list:ignoreOrder'}, {'value': 'set_in_set->\\[\\d+\\]->set', 'operation': 'operator:list:ignoreOrder'}]"
then you will see a popup like this:
Interactive
You can play with cli using:
python -m jycm --interactive
Show cases
Here's some examples showing you what you can do with JYCM. Only the results without configuration are shown below. (in case you wonder why things are not consistence here)
Default behaviour
Code
from jycm.helper import make_ignore_order_func
from jycm.jycm import YouchamaJsonDiffer
left = {
"a": 1,
"b": 2,
"d": "12345",
"f": False,
"e": [
{"x": 1, "y": 1},
{"x": 2, "y": 2},
{"x": 3, "y": 3},
{"x": 4, "y": 4},
]
}
right = {
"a": 1,
"b": 3,
"c": 4,
"f": True,
"e": [
{"x": 0, "y": 1},
{"x": 2, "y": 2},
{"x": 3, "y": 3},
{"x": 5, "y": 5},
]
}
ycm = YouchamaJsonDiffer(left, right)
ycm.diff()
expected = {
'dict:add': [
{'left': '__NON_EXIST__',
'left_path': '',
'right': 4,
'right_path': 'c'}
],
'dict:remove': [
{'left': '12345',
'left_path': 'd',
'right': '__NON_EXIST__',
'right_path': ''}
],
'list:add': [
{'left': '__NON_EXIST__',
'left_path': '',
'right': {'x': 5, 'y': 5},
'right_path': 'e->[3]'}
],
'list:remove': [
{'left': {'x': 4, 'y': 4},
'left_path': 'e->[3]',
'right': '__NON_EXIST__',
'right_path': ''}
],
'value_changes': [
{'left': 2,
'left_path': 'b',
'new': 3,
'old': 2,
'right': 3,
'right_path': 'b'},
{'left': 1,
'left_path': 'e->[0]->x',
'new': 0,
'old': 1,
'right': 0,
'right_path': 'e->[0]->x'},
{'left': False,
'left_path': 'f',
'new': True,
'old': False,
'right': True,
'right_path': 'f'}
]
}
assert ycm.to_dict(no_pairs=True) == expected
Graph
Ignore Order
Code
from jycm.helper import make_ignore_order_func
from jycm.jycm import YouchamaJsonDiffer
left = {
"ignore_order": [1, 2, 3],
"not_ignore_order": [1, 2, 3]
}
right = {
"ignore_order": [3, 2, 1],
"not_ignore_order": [3, 2, 1]
}
ycm = YouchamaJsonDiffer(left, right, ignore_order_func=make_ignore_order_func([
"^ignore_order$"
]))
ycm.diff()
expected = {
'list:add': [
{'left': '__NON_EXIST__',
'left_path': '',
'right': 2,
'right_path': 'not_ignore_order->[1]'},
{'left': '__NON_EXIST__',
'left_path': '',
'right': 1,
'right_path': 'not_ignore_order->[2]'}
],
'list:remove': [
{'left': 1,
'left_path': 'not_ignore_order->[0]',
'right': '__NON_EXIST__',
'right_path': ''},
{'left': 2,
'left_path': 'not_ignore_order->[1]',
'right': '__NON_EXIST__',
'right_path': ''}
]
}
assert ycm.to_dict(no_pairs=True) == expected
Graph
Diff set-in-set
Code
from jycm.helper import make_ignore_order_func
from jycm.jycm import YouchamaJsonDiffer
left = {
"set_in_set": [
{
"id": 1,
"label": "label:1",
"set": [
1,
5,
3
]
},
{
"id": 2,
"label": "label:2",
"set": [
4,
5,
6
]
}
]
}
right = {
"set_in_set": [
{
"id": 2,
"label": "label:2",
"set": [
6,
5,
4
]
},
{
"id": 1,
"label": "label:1111",
"set": [
3,
2,
1
]
}
]
}
ycm = YouchamaJsonDiffer(left, right, ignore_order_func=make_ignore_order_func([
f"^set_in_set$",
f"^set_in_set->\\[\\d+\\]->set$"
]))
ycm.diff()
expected = {
'list:add': [
{'left': '__NON_EXIST__', 'right': 2, 'left_path': '', 'right_path': 'set_in_set->[1]->set->[1]'}
],
'list:remove': [
{'left': 5, 'right': '__NON_EXIST__', 'left_path': 'set_in_set->[0]->set->[1]', 'right_path': ''}
],
'value_changes': [
{'left': 'label:1', 'right': 'label:1111', 'left_path': 'set_in_set->[0]->label',
'right_path': 'set_in_set->[1]->label', 'old': 'label:1', 'new': 'label:1111'}
]
}
assert ycm.to_dict(no_pairs=True) == expected
Graph
Custom operator
Define an operator
import math
from jycm.operator import BaseOperator
class L2DistanceOperator(BaseOperator):
__operator_name__ = "operator:l2distance"
__event__ = "operator:l2distance"
def __init__(self, path_regex, distance_threshold):
super().__init__(path_regex=path_regex)
self.distance_threshold = distance_threshold
def diff(self, level: 'TreeLevel', instance, drill: bool) -> Tuple[bool, float]:
print("damn")
distance = math.sqrt(
(level.left["x"] - level.right["x"]) ** 2 + (level.left["y"] - level.right["y"]) ** 2
)
info = {
"distance": distance,
"distance_threshold": self.distance_threshold,
"pass": distance < self.distance_threshold
}
if not drill:
instance.report(self.__event__, level, info)
return True, 1 if info["pass"] else 0
And use it
from jycm.jycm import YouchamaJsonDiffer
left = {
"distance_ok": {
"x": 1,
"y": 1
},
"distance_too_far": {
"x": 5,
"y": 5
},
}
right = {
"distance_ok": {
"x": 2,
"y": 2
},
"distance_too_far": {
"x": 7,
"y": 9
},
}
ycm = YouchamaJsonDiffer(left, right, custom_operators=[
L2DistanceOperator(f"distance.*", 3),
])
expected = {
'operator:l2distance': [
{'left': {'x': 1, 'y': 1}, 'right': {'x': 2, 'y': 2}, 'left_path': 'distance_ok',
'right_path': 'distance_ok', 'distance': 1.4142135623730951, 'distance_threshold': 3, 'pass': True},
{'left': {'x': 5, 'y': 5}, 'right': {'x': 7, 'y': 9}, 'left_path': 'distance_too_far',
'right_path': 'distance_too_far', 'distance': 4.47213595499958, 'distance_threshold': 3, 'pass': False}
]
}
assert {**ycm.to_dict(), "pairs": []} == expected
Philosophy
Since determining two things are equal or not is heavily depend on the context, it is not possible to build a json diff tool to meet all requirements.
JYCM choose another way: making it easy to compare values.
JYCM allows users just need to focus on defining the differing logic or what a distance is between two values and JYCM will take care all the other dirty works such as array-item-matching, ignoring-array-order, recursively comparing and calculating similarity.
By the way, JYCM uses algorithms below to match items in array:
exactly matching | fuzzy matching | |
---|---|---|
with order | LCS | Edit distance |
without order | Brute force | Kuhn–Munkres |
Speaking of flexibility, to make a new operator, you just to need to extend a class called BaseOperator with such function signature:
diff: (level: 'TreeLevel', instance, drill: bool) => [float, boolean]
where the first return is a float number between zero and one for describing how similar level.left and level.right are and the second return is used to indicate whether comparing process should stop here.
Contribute
requirements
pip install -r requirements-dev.txt
Releases
git checkout master && git pull
bumpversion {patch|minor|major}
git push && git push --tags
run test with cov
make testcov
make docs
make docs
Project details
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