junitparser
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pythonic way to create dict
is there a simple way to get a python dict with all the information from the parsed xml? Eventually I want to dump is as a json, so it can be processed further.
Thanks for your amazing library!
You could for example convert a TestSuite with it's TestCases into a list
to access those TestCases in a pythonic way.
# Get the last TestCase's Name from the TestSuite
self.test_name = list(results.suite)[-1].name
Why bothering parsing the XML with junitparser, why not converting XML directly to JSON?
Here is a method that converts the parsed XML into a dict, inspired by https://stackoverflow.com/a/7684581/13070239.
Note that the dict does not preserve order:
def etree_to_dict(t):
d = {t.tag: [etree_to_dict(c) for c in t]}
d.update(('@' + k, v) for k, v in t.attrib.items())
if t.text is not None:
d['text'] = t.text
return d
junit = JUnitXml.fromfile('junit.xml')
d = etree_to_dict(junit._elem)
Thanks for the suggestions! Will try it out and give feedback 👍
That works perfectly fine, thank you!
However, it's not super elegant to pass a private member into this free function. Would it make sense that class JunitXml
/TestSuite
provides member function to_dict()
that implements etree_to_dict(t)
?
Sounds reasonable, @weiwei, what do you think?
I'm not in favor of the idea because
- The result
dict
orjson
doesn't seem to follow any standard format (that I know of, but point me out if I'm wrong). - It seems to be a marginal use case and the workaround is pretty straightforward.
I see what you mean, but a dict
is a well-established data structure in python, hence it is much more accessible and interoperable with other python tools. In my specific use case, I found it hard to check TestSuite
's contents with PyCharm's debugger, with a dict
, that's much simpler. Additionally, I want to ship the data with filebeat, which likes json files. I expect many more use cases that we don't even recognize yet.
Regarding the standard format: I found the output from the function above a bit weird as well, thus I adopted to
def element_tree_to_dictionary(element_tree) -> Dict:
dictionary = {element_tree.tag: [element_tree_to_dictionary(c) for c in element_tree]}
dictionary.update((key, value) for key, value in element_tree.attrib.items())
if element_tree.text is not None and element_tree.text.strip():
dictionary["text"] = element_tree.text.lstrip("=")
return dictionary
which gives e.g.
{
"testsuite": [
{
"testcase": [{"system-out": [], "text": "\nAll tests passed (4 assertions in 1 test case)"}],
"name": "chamfer_distance_test",
"classname": "chamfer_distance_test",
"time": "0.0052075",
"status": "run",
},
{
"testcase": [{"system-out": [], "text": "\nAll tests passed (39 assertions in 2 test cases)"}],
"name": "subdivision_test",
"classname": "subdivision_test",
"time": "0.0098322",
"status": "run",
},
{
"testcase": [{"system-out": [], "text": "\nAll tests passed (155 assertions in 2 test cases)"}],
"name": "quaternion_test",
"classname": "quaternion_test",
"time": "0.0050072",
"status": "run",
},
{
"testcase": [{"system-out": [], "text": "\nAll tests passed (3 assertions in 3 test cases)"}],
"name": "oriented_bounding_box_test",
"classname": "oriented_bounding_box_test",
"time": "0.0111813",
"status": "run",
},
]
"name": "Linux-g++-7",
"tests": "4",
"failures": "0",
"disabled": "0",
"skipped": "0",
"hostname": "cbachhuber-lt",
"time": "0.031",
"timestamp": "2022-02-11T14:00:06",
}
Which I find a very useful output! Not sure how standard it is, though.