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annotate scripts/stats.xmlrpc.py @ 8264:09e8d1a4c796

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docs: clarify wording, fix index, add superseder link Make superseder, messages etc. properties index entries point to the right place. Link to description of using Superseder in the original overview. fix bad wording on boolean properties.
author John Rouillard <rouilj@ieee.org>
date Wed, 08 Jan 2025 11:39:54 -0500
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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/