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Location: kallithea/scripts/shortlog.py - annotation
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api: stop using 'Optional', 'OAttr'/'OptionalAttr' classes
There does not seem to be a good reason to use the 'Optional' and
'OptionalAttr' classes.
It makes the code harder to understand. And worse, the 'default value'
specified is not always used, which can thus give false information to
users.
The way Optional was used in the API calls is twofold:
1.either by effectively extracting a value, via Optional.extract(param).
If 'param' was indeed specified by the user, then this would yield that
user-specified value. Otherwise, it would yield the value declared in the
parameter declaration, e.g. param=Optional(defaultvalue).
2.or by checking if a variable is an instance of the Optional class. In case
a user effectively passed a value, this value will not be of the
Optional class. So if a parameter is an object of class Optional, we know
the user did not pass a value, and we can apply some default.
In the declaration of the parameter, the specified default value will only
be used if the 'extract' method is used, i.e. method 1 above.
A simpler way to address this problem of default values is just with Python
default values, using 'None' as magic value if the default will be
calculated inside the method.
The docstrings still specify something like:
type: Optional(bool)
which is humanly readable and does not necessarily refer to a class called
'Optional', so such strings are kept.
There does not seem to be a good reason to use the 'Optional' and
'OptionalAttr' classes.
It makes the code harder to understand. And worse, the 'default value'
specified is not always used, which can thus give false information to
users.
The way Optional was used in the API calls is twofold:
1.either by effectively extracting a value, via Optional.extract(param).
If 'param' was indeed specified by the user, then this would yield that
user-specified value. Otherwise, it would yield the value declared in the
parameter declaration, e.g. param=Optional(defaultvalue).
2.or by checking if a variable is an instance of the Optional class. In case
a user effectively passed a value, this value will not be of the
Optional class. So if a parameter is an object of class Optional, we know
the user did not pass a value, and we can apply some default.
In the declaration of the parameter, the specified default value will only
be used if the 'extract' method is used, i.e. method 1 above.
A simpler way to address this problem of default values is just with Python
default values, using 'None' as magic value if the default will be
calculated inside the method.
The docstrings still specify something like:
type: Optional(bool)
which is humanly readable and does not necessarily refer to a class called
'Optional', so such strings are kept.
aa6f17a53b49 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 0a277465fddf 96b43734025f 30e3d0a14f09 0a277465fddf 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 30e3d0a14f09 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Kallithea script for generating a quick overview of contributors and their
commit counts in a given revision set.
"""
import argparse
import os
from collections import Counter
import contributor_data
def main():
parser = argparse.ArgumentParser(description='Generate a list of committers and commit counts.')
parser.add_argument('revset',
help='revision set specifying the commits to count')
args = parser.parse_args()
repo_entries = [
(contributor_data.name_fixes.get(name) or contributor_data.name_fixes.get(name.rsplit('<', 1)[0].strip()) or name).rsplit('<', 1)[0].strip()
for name in (line.strip()
for line in os.popen("""hg log -r '%s' -T '{author}\n'""" % args.revset).readlines())
]
counter = Counter(repo_entries)
for name, count in counter.most_common():
if name == '':
continue
print('%4s %s' % (count, name))
if __name__ == '__main__':
main()
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