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annotate scripts/stats.xmlrpc.py @ 7800:2d4684e4702d

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fix: enhancement to history command output and % template fix. Rather than using the key field, use the label field for descriptions. Call cls.labelprop(default_to_id=True) so it returns id rather than the first sorted property name. If labelprop() returns 'id' or 'title', we return nothing. 'id' means there is no label set and no properties named 'name' or 'title'. So have the caller do whatever it wants (prepend classname for example) when there is no human readable name. This prevents %(name)s%(key)s from producing: 23(23). Also don't accept the 'title' property. Titles can be too long. Arguably we could: '%(name)20s' to limit the title length. However without ellipses or something truncating the title might be confusing. So again pretend there is no human readable name.
author John Rouillard <rouilj@ieee.org>
date Tue, 12 Mar 2024 11:52:17 -0400
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children
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1 """Count how many issues use each bpo field and print a report."""
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2 """ sample output: https://github.com/psf/gh-migration/issues/5#issuecomment-935697646"""
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3
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4 import xmlrpc.client
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5
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6 from collections import defaultdict
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7
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8 class SpecialTransport(xmlrpc.client.SafeTransport):
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9 def send_content(self, connection, request_body):
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10 connection.putheader("Referer", "https://bugs.python.org/")
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11 connection.putheader("Origin", "https://bugs.python.org")
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12 connection.putheader("X-Requested-With", "XMLHttpRequest")
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13 xmlrpc.client.SafeTransport.send_content(self, connection, request_body)
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14
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15 # connect to bpo
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16 roundup = xmlrpc.client.ServerProxy('https://bugs.python.org/xmlrpc',
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17 transport=SpecialTransport(),
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18 allow_none=True)
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19
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20 # map bpo classes -> propname
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21 # the class is the name of the class (e.g. issue_type, keyword --
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22 # also used in e.g. in https://bugs.python.org/keyword)
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23 # the propname is the name used as attribute on the issue class
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24 # (e.g. issue.type, issue.keywords)
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25 classes = {
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26 # 'status': 'status', # skip this
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27 'issue_type': 'type',
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28 'stage': 'stage',
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29 'component': 'components',
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30 'version': 'versions',
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31 'resolution': 'resolution',
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32 'priority': 'priority',
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33 'keyword': 'keywords',
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34 }
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35
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36 # find the id for the 'open' status
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37 open_id = roundup.lookup('status', 'open')
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38
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39 print(f'* Counting total issues...')
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40 total_issues_num = len(roundup.filter('issue', None, {}))
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41
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42 print(f'* Counting open issues...')
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43 # use this list to filter only the open issues
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44 open_issues = roundup.filter('issue', None, {'status': open_id})
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45 open_issues_num = len(open_issues)
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46
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47 # save the totals in a dict with this structure:
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48 # totals[propname][open/all][num/perc][name]
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49 # where propname is e.g. 'keyword' and name is e.g. 'easy'
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50 totals = defaultdict(lambda: {'all': {'perc': {}, 'num': {}},
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51 'open': {'perc': {}, 'num': {}}})
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52 for cls, propname in classes.items():
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53 print(f'* Counting <{cls}>...')
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54 # get the list of ids/names for the given class (e.g. 'easy' is 6)
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55 ids = roundup.list(cls, 'id')
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56 names = roundup.list(cls, 'name')
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57 for id, name in zip(ids, names):
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58 # filter and count on *all* issues with the given propname
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59 tot_all = len(roundup.filter('issue', None, {propname: id}))
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60 totals[propname]['all']['num'][name] = tot_all
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61 totals[propname]['all']['perc'][name] = tot_all / total_issues_num
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62 # filter and count on *open* issues with the given propname
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63 tot_open = len(roundup.filter('issue', open_issues, {propname: id}))
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64 totals[propname]['open']['num'][name] = tot_open
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65 totals[propname]['open']['perc'][name] = tot_open / open_issues_num
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68 print(f'Issues (open/all): {open_issues_num}/{total_issues_num}')
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69
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70 # print a list of markdown tables for each bpo class name
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71 for propname in classes.values():
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72 print(f'### {propname}')
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73 print('| bpo field | open | all |')
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74 print('| :--- | ---: | ---: |')
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75 # pick the dict for the given propname (e.g. keywords)
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76 proptots = totals[propname]
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77 names = proptots['open']['num']
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78 # sort the names (e.g. 'easy') in reverse order
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79 # based on the number of open issues
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80 for name in sorted(names, key=names.get, reverse=True):
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81 # get and print num/perc for all/open issues
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82 issues_all = proptots['all']['num'][name]
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83 issues_open = proptots['open']['num'][name]
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84 perc_all = proptots['all']['perc'][name]
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85 perc_open = proptots['open']['perc'][name]
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86 print(f'| {name:20} | {issues_open:>5} ({perc_open:5.1%}) |'
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87 f' {issues_all:>5} ({perc_all:5.1%}) |')
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88 # calc and print num/perc for all/open issues
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89 tot_issues_all = sum(proptots['all']['num'].values())
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90 tot_issues_open = sum(proptots['open']['num'].values())
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91 tot_perc_all = sum(proptots['all']['perc'].values())
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92 tot_perc_open = sum(proptots['open']['perc'].values())
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93 print(f'| **Total** | {tot_issues_open:>5} ({tot_perc_open:5.1%}) |'
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94 f' {tot_issues_all:>5} ({tot_perc_all:5.1%}) |')
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95
Roundup Issue Tracker: http://roundup-tracker.org/