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| author | John Rouillard <rouilj@ieee.org> |
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| date | Wed, 25 Jun 2025 23:10:56 -0400 |
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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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66 |
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67 |
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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 |
