1import os
2from collections import defaultdict
3from datetime import datetime, timedelta
4from typing import Optional
5
6from github import Github
7from github.Issue import Issue
8from github.Repository import Repository
9from pytz import timezone
10
11import typer
12from typer import Typer
13
14app: Typer = typer.Typer()
15
16DATETIME_FORMAT: str = "%m/%d/%Y %I:%M %p"
17CORE_LABELS: set[str] = set(
18 [
19 "defect",
20 "design",
21 "documentation",
22 "enhancement",
23 "panic / crash",
24 "platform support",
25 ]
26)
27# A set of labels for adding in labels that we want present in the final
28# report, but that we don't want being defined as a core label, since issues
29# with without core labels are flagged as errors.
30ADDITIONAL_LABELS: set[str] = set(["ai", "vim"])
31IGNORED_LABELS: set[str] = set(
32 [
33 "meta",
34 ]
35)
36ISSUES_PER_LABEL: int = 20
37
38
39class IssueData:
40 def __init__(self, issue: Issue) -> None:
41 self.url: str = issue.html_url
42 self.like_count: int = issue._rawData["reactions"]["+1"] # type: ignore [attr-defined]
43 self.creation_datetime: str = issue.created_at.strftime(DATETIME_FORMAT)
44 # TODO: Change script to support storing labels here, rather than directly in the script
45 self.labels: set[str] = set(label["name"] for label in issue._rawData["labels"]) # type: ignore [attr-defined]
46
47
48@app.command()
49def main(
50 github_token: Optional[str] = None,
51 prod: bool = False,
52 query_day_interval: Optional[int] = None,
53) -> None:
54 start_time: datetime = datetime.now()
55
56 start_date: datetime | None = None
57
58 if query_day_interval:
59 tz = timezone("america/new_york")
60 start_date = datetime.now(tz) - timedelta(days=query_day_interval)
61
62 # GitHub Workflow will pass in the token as an environment variable,
63 # but we can place it in our env when running the script locally, for convenience
64 github_token = github_token or os.getenv("GITHUB_ACCESS_TOKEN")
65 github = Github(github_token)
66
67 remaining_requests_before: int = github.rate_limiting[0]
68 print(f"Remaining requests before: {remaining_requests_before}")
69
70 repo_name: str = "zed-industries/zed"
71 repository: Repository = github.get_repo(repo_name)
72
73 # There has to be a nice way of adding types to tuple unpacking
74 label_to_issue_data: dict[str, list[IssueData]]
75 error_message_to_erroneous_issue_data: dict[str, list[IssueData]]
76 (
77 label_to_issue_data,
78 error_message_to_erroneous_issue_data,
79 ) = get_issue_maps(github, repository, start_date)
80
81 issue_text: str = get_issue_text(
82 label_to_issue_data,
83 error_message_to_erroneous_issue_data,
84 )
85
86 if prod:
87 top_ranking_issues_issue: Issue = repository.get_issue(5393)
88 top_ranking_issues_issue.edit(body=issue_text)
89 else:
90 print(issue_text)
91
92 remaining_requests_after: int = github.rate_limiting[0]
93 print(f"Remaining requests after: {remaining_requests_after}")
94 print(f"Requests used: {remaining_requests_before - remaining_requests_after}")
95
96 run_duration: timedelta = datetime.now() - start_time
97 print(run_duration)
98
99
100def get_issue_maps(
101 github: Github,
102 repository: Repository,
103 start_date: datetime | None = None,
104) -> tuple[dict[str, list[IssueData]], dict[str, list[IssueData]]]:
105 label_to_issues: defaultdict[str, list[Issue]] = get_label_to_issues(
106 github,
107 repository,
108 start_date,
109 )
110 label_to_issue_data: dict[str, list[IssueData]] = get_label_to_issue_data(
111 label_to_issues
112 )
113
114 error_message_to_erroneous_issues: defaultdict[
115 str, list[Issue]
116 ] = get_error_message_to_erroneous_issues(github, repository)
117 error_message_to_erroneous_issue_data: dict[
118 str, list[IssueData]
119 ] = get_error_message_to_erroneous_issue_data(error_message_to_erroneous_issues)
120
121 # Create a new dictionary with labels ordered by the summation the of likes on the associated issues
122 labels = list(label_to_issue_data.keys())
123
124 labels.sort(
125 key=lambda label: sum(
126 issue_data.like_count for issue_data in label_to_issue_data[label]
127 ),
128 reverse=True,
129 )
130
131 label_to_issue_data = {label: label_to_issue_data[label] for label in labels}
132
133 return (
134 label_to_issue_data,
135 error_message_to_erroneous_issue_data,
136 )
137
138
139def get_label_to_issues(
140 github: Github,
141 repository: Repository,
142 start_date: datetime | None = None,
143) -> defaultdict[str, list[Issue]]:
144 label_to_issues: defaultdict[str, list[Issue]] = defaultdict(list)
145
146 labels: set[str] = CORE_LABELS | ADDITIONAL_LABELS
147 ignored_labels_text: str = " ".join(
148 [f'-label:"{label}"' for label in IGNORED_LABELS]
149 )
150
151 date_query: str = (
152 f"created:>={start_date.strftime('%Y-%m-%d')}" if start_date else ""
153 )
154
155 for label in labels:
156 query: str = f'repo:{repository.full_name} is:open is:issue {date_query} label:"{label}" {ignored_labels_text} sort:reactions-+1-desc'
157
158 issues = github.search_issues(query)
159
160 if issues.totalCount > 0:
161 for issue in issues[0:ISSUES_PER_LABEL]:
162 label_to_issues[label].append(issue)
163
164 return label_to_issues
165
166
167def get_label_to_issue_data(
168 label_to_issues: defaultdict[str, list[Issue]]
169) -> dict[str, list[IssueData]]:
170 label_to_issue_data: dict[str, list[IssueData]] = {}
171
172 for label in label_to_issues:
173 issues: list[Issue] = label_to_issues[label]
174 issue_data: list[IssueData] = [IssueData(issue) for issue in issues]
175 issue_data.sort(
176 key=lambda issue_data: (
177 -issue_data.like_count,
178 issue_data.creation_datetime,
179 )
180 )
181
182 if issue_data:
183 label_to_issue_data[label] = issue_data
184
185 return label_to_issue_data
186
187
188def get_error_message_to_erroneous_issues(
189 github: Github, repository: Repository
190) -> defaultdict[str, list[Issue]]:
191 error_message_to_erroneous_issues: defaultdict[str, list[Issue]] = defaultdict(list)
192
193 # Query for all open issues that don't have either a core or ignored label and mark those as erroneous
194 filter_labels: set[str] = CORE_LABELS | IGNORED_LABELS
195 filter_labels_text: str = " ".join([f'-label:"{label}"' for label in filter_labels])
196 query: str = f"repo:{repository.full_name} is:open is:issue {filter_labels_text}"
197
198 for issue in github.search_issues(query):
199 error_message_to_erroneous_issues["missing core label"].append(issue)
200
201 return error_message_to_erroneous_issues
202
203
204def get_error_message_to_erroneous_issue_data(
205 error_message_to_erroneous_issues: defaultdict[str, list[Issue]],
206) -> dict[str, list[IssueData]]:
207 error_message_to_erroneous_issue_data: dict[str, list[IssueData]] = {}
208
209 for label in error_message_to_erroneous_issues:
210 issues: list[Issue] = error_message_to_erroneous_issues[label]
211 issue_data: list[IssueData] = [IssueData(issue) for issue in issues]
212 error_message_to_erroneous_issue_data[label] = issue_data
213
214 return error_message_to_erroneous_issue_data
215
216
217def get_issue_text(
218 label_to_issue_data: dict[str, list[IssueData]],
219 error_message_to_erroneous_issue_data: dict[str, list[IssueData]],
220) -> str:
221 tz = timezone("america/new_york")
222 current_datetime: str = datetime.now(tz).strftime(f"{DATETIME_FORMAT} (%Z)")
223
224 highest_ranking_issues_lines: list[str] = get_highest_ranking_issues_lines(
225 label_to_issue_data
226 )
227
228 issue_text_lines: list[str] = [
229 f"*Updated on {current_datetime}*",
230 *highest_ranking_issues_lines,
231 "",
232 "---\n",
233 ]
234
235 erroneous_issues_lines: list[str] = get_erroneous_issues_lines(
236 error_message_to_erroneous_issue_data
237 )
238
239 if erroneous_issues_lines:
240 core_labels_text: str = ", ".join(
241 f'"{core_label}"' for core_label in CORE_LABELS
242 )
243 ignored_labels_text: str = ", ".join(
244 f'"{ignored_label}"' for ignored_label in IGNORED_LABELS
245 )
246
247 issue_text_lines.extend(
248 [
249 "## errors with issues (this section only shows when there are errors with issues)\n",
250 f"This script expects every issue to have at least one of the following core labels: {core_labels_text}",
251 f"This script currently ignores issues that have one of the following labels: {ignored_labels_text}\n",
252 "### what to do?\n",
253 "- Adjust the core labels on an issue to put it into a correct state or add a currently-ignored label to the issue",
254 "- Adjust the core and ignored labels registered in this script",
255 *erroneous_issues_lines,
256 "",
257 "---\n",
258 ]
259 )
260
261 issue_text_lines.extend(
262 [
263 "*For details on how this issue is generated, [see the script](https://github.com/zed-industries/zed/blob/main/script/update_top_ranking_issues/main.py)*",
264 ]
265 )
266
267 return "\n".join(issue_text_lines)
268
269
270def get_highest_ranking_issues_lines(
271 label_to_issue_data: dict[str, list[IssueData]],
272) -> list[str]:
273 highest_ranking_issues_lines: list[str] = []
274
275 if label_to_issue_data:
276 for label, issue_data in label_to_issue_data.items():
277 highest_ranking_issues_lines.append(f"\n## {label}\n")
278
279 for i, issue_data in enumerate(issue_data):
280 markdown_bullet_point: str = (
281 f"{issue_data.url} ({issue_data.like_count} :thumbsup:)"
282 )
283
284 markdown_bullet_point = f"{i + 1}. {markdown_bullet_point}"
285 highest_ranking_issues_lines.append(markdown_bullet_point)
286
287 return highest_ranking_issues_lines
288
289
290def get_erroneous_issues_lines(
291 error_message_to_erroneous_issue_data,
292) -> list[str]:
293 erroneous_issues_lines: list[str] = []
294
295 if error_message_to_erroneous_issue_data:
296 for (
297 error_message,
298 erroneous_issue_data,
299 ) in error_message_to_erroneous_issue_data.items():
300 erroneous_issues_lines.append(f"\n#### {error_message}\n")
301
302 for erroneous_issue_data in erroneous_issue_data:
303 erroneous_issues_lines.append(f"- {erroneous_issue_data.url}")
304
305 return erroneous_issues_lines
306
307
308if __name__ == "__main__":
309 app()
310
311# TODO: Sort label output into core and non core sections