main.py

  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] = {
 18    "defect",
 19    "design",
 20    "documentation",
 21    "enhancement",
 22    "panic / crash",
 23}
 24# A set of labels for adding in labels that we want present in the final
 25# report, but that we don't want being defined as a core label, since issues
 26# with without core labels are flagged as errors.
 27ADDITIONAL_LABELS: set[str] = {
 28    "ai",
 29    "linux",
 30    "vim",
 31    "windows",
 32}
 33IGNORED_LABELS: set[str] = {
 34    "ignore top-ranking issues",
 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] = {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    issue_reference_number: Optional[int] = None,
 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        current_time = datetime.now(tz).replace(
 61            hour=0, minute=0, second=0, microsecond=0
 62        )
 63        start_date = current_time - timedelta(days=query_day_interval)
 64
 65    # GitHub Workflow will pass in the token as an environment variable,
 66    # but we can place it in our env when running the script locally, for convenience
 67    github_token = github_token or os.getenv("GITHUB_ACCESS_TOKEN")
 68    github = Github(github_token)
 69
 70    remaining_requests_before: int = github.rate_limiting[0]
 71    print(f"Remaining requests before: {remaining_requests_before}")
 72
 73    repo_name: str = "zed-industries/zed"
 74    repository: Repository = github.get_repo(repo_name)
 75
 76    # There has to be a nice way of adding types to tuple unpacking
 77    label_to_issue_data: dict[str, list[IssueData]]
 78    error_message_to_erroneous_issue_data: dict[str, list[IssueData]]
 79    (
 80        label_to_issue_data,
 81        error_message_to_erroneous_issue_data,
 82    ) = get_issue_maps(github, repository, start_date)
 83
 84    issue_text: str = get_issue_text(
 85        label_to_issue_data,
 86        error_message_to_erroneous_issue_data,
 87    )
 88
 89    if issue_reference_number:
 90        top_ranking_issues_issue: Issue = repository.get_issue(issue_reference_number)
 91        top_ranking_issues_issue.edit(body=issue_text)
 92    else:
 93        print(issue_text)
 94
 95    remaining_requests_after: int = github.rate_limiting[0]
 96    print(f"Remaining requests after: {remaining_requests_after}")
 97    print(f"Requests used: {remaining_requests_before - remaining_requests_after}")
 98
 99    run_duration: timedelta = datetime.now() - start_time
100    print(run_duration)
101
102
103def get_issue_maps(
104    github: Github,
105    repository: Repository,
106    start_date: datetime | None = None,
107) -> tuple[dict[str, list[IssueData]], dict[str, list[IssueData]]]:
108    label_to_issues: defaultdict[str, list[Issue]] = get_label_to_issues(
109        github,
110        repository,
111        start_date,
112    )
113    label_to_issue_data: dict[str, list[IssueData]] = get_label_to_issue_data(
114        label_to_issues
115    )
116
117    error_message_to_erroneous_issues: defaultdict[str, list[Issue]] = (
118        get_error_message_to_erroneous_issues(github, repository)
119    )
120    error_message_to_erroneous_issue_data: dict[str, list[IssueData]] = (
121        get_error_message_to_erroneous_issue_data(error_message_to_erroneous_issues)
122    )
123
124    # Create a new dictionary with labels ordered by the summation the of likes on the associated issues
125    labels = list(label_to_issue_data.keys())
126
127    labels.sort(
128        key=lambda label: sum(
129            issue_data.like_count for issue_data in label_to_issue_data[label]
130        ),
131        reverse=True,
132    )
133
134    label_to_issue_data = {label: label_to_issue_data[label] for label in labels}
135
136    return (
137        label_to_issue_data,
138        error_message_to_erroneous_issue_data,
139    )
140
141
142def get_label_to_issues(
143    github: Github,
144    repository: Repository,
145    start_date: datetime | None = None,
146) -> defaultdict[str, list[Issue]]:
147    label_to_issues: defaultdict[str, list[Issue]] = defaultdict(list)
148
149    labels: set[str] = CORE_LABELS | ADDITIONAL_LABELS
150    ignored_labels_text: str = " ".join(
151        [f'-label:"{label}"' for label in IGNORED_LABELS]
152    )
153
154    date_query: str = (
155        f"created:>={start_date.strftime('%Y-%m-%d')}" if start_date else ""
156    )
157
158    for label in labels:
159        query: str = f'repo:{repository.full_name} is:open is:issue {date_query} label:"{label}" {ignored_labels_text} sort:reactions-+1-desc'
160
161        issues = github.search_issues(query)
162
163        if issues.totalCount > 0:
164            for issue in issues[0:ISSUES_PER_LABEL]:
165                label_to_issues[label].append(issue)
166
167    return label_to_issues
168
169
170def get_label_to_issue_data(
171    label_to_issues: defaultdict[str, list[Issue]],
172) -> dict[str, list[IssueData]]:
173    label_to_issue_data: dict[str, list[IssueData]] = {}
174
175    for label in label_to_issues:
176        issues: list[Issue] = label_to_issues[label]
177        issue_data: list[IssueData] = [IssueData(issue) for issue in issues]
178        issue_data.sort(
179            key=lambda issue_data: (
180                -issue_data.like_count,
181                issue_data.creation_datetime,
182            )
183        )
184
185        if issue_data:
186            label_to_issue_data[label] = issue_data
187
188    return label_to_issue_data
189
190
191def get_error_message_to_erroneous_issues(
192    github: Github, repository: Repository
193) -> defaultdict[str, list[Issue]]:
194    error_message_to_erroneous_issues: defaultdict[str, list[Issue]] = defaultdict(list)
195
196    # Query for all open issues that don't have either a core or ignored label and mark those as erroneous
197    filter_labels: set[str] = CORE_LABELS | IGNORED_LABELS
198    filter_labels_text: str = " ".join([f'-label:"{label}"' for label in filter_labels])
199    query: str = f"repo:{repository.full_name} is:open is:issue {filter_labels_text}"
200
201    for issue in github.search_issues(query):
202        error_message_to_erroneous_issues["missing core label"].append(issue)
203
204    return error_message_to_erroneous_issues
205
206
207def get_error_message_to_erroneous_issue_data(
208    error_message_to_erroneous_issues: defaultdict[str, list[Issue]],
209) -> dict[str, list[IssueData]]:
210    error_message_to_erroneous_issue_data: dict[str, list[IssueData]] = {}
211
212    for label in error_message_to_erroneous_issues:
213        issues: list[Issue] = error_message_to_erroneous_issues[label]
214        issue_data: list[IssueData] = [IssueData(issue) for issue in issues]
215        error_message_to_erroneous_issue_data[label] = issue_data
216
217    return error_message_to_erroneous_issue_data
218
219
220def get_issue_text(
221    label_to_issue_data: dict[str, list[IssueData]],
222    error_message_to_erroneous_issue_data: dict[str, list[IssueData]],
223) -> str:
224    tz = timezone("america/new_york")
225    current_datetime: str = datetime.now(tz).strftime(f"{DATETIME_FORMAT} (%Z)")
226
227    highest_ranking_issues_lines: list[str] = get_highest_ranking_issues_lines(
228        label_to_issue_data
229    )
230
231    issue_text_lines: list[str] = [
232        f"*Updated on {current_datetime}*",
233        *highest_ranking_issues_lines,
234        "",
235        "---\n",
236    ]
237
238    erroneous_issues_lines: list[str] = get_erroneous_issues_lines(
239        error_message_to_erroneous_issue_data
240    )
241
242    if erroneous_issues_lines:
243        core_labels_text: str = ", ".join(
244            f'"{core_label}"' for core_label in CORE_LABELS
245        )
246        ignored_labels_text: str = ", ".join(
247            f'"{ignored_label}"' for ignored_label in IGNORED_LABELS
248        )
249
250        issue_text_lines.extend(
251            [
252                "## errors with issues (this section only shows when there are errors with issues)\n",
253                f"This script expects every issue to have at least one of the following core labels: {core_labels_text}",
254                f"This script currently ignores issues that have one of the following labels: {ignored_labels_text}\n",
255                "### what to do?\n",
256                "- Adjust the core labels on an issue to put it into a correct state or add a currently-ignored label to the issue",
257                "- Adjust the core and ignored labels registered in this script",
258                *erroneous_issues_lines,
259                "",
260                "---\n",
261            ]
262        )
263
264    issue_text_lines.extend(
265        [
266            "*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)*",
267        ]
268    )
269
270    return "\n".join(issue_text_lines)
271
272
273def get_highest_ranking_issues_lines(
274    label_to_issue_data: dict[str, list[IssueData]],
275) -> list[str]:
276    highest_ranking_issues_lines: list[str] = []
277
278    if label_to_issue_data:
279        for label, issue_data in label_to_issue_data.items():
280            highest_ranking_issues_lines.append(f"\n## {label}\n")
281
282            for i, issue_data in enumerate(issue_data):
283                markdown_bullet_point: str = (
284                    f"{issue_data.url} ({issue_data.like_count} :thumbsup:)"
285                )
286
287                markdown_bullet_point = f"{i + 1}. {markdown_bullet_point}"
288                highest_ranking_issues_lines.append(markdown_bullet_point)
289
290    return highest_ranking_issues_lines
291
292
293def get_erroneous_issues_lines(
294    error_message_to_erroneous_issue_data,
295) -> list[str]:
296    erroneous_issues_lines: list[str] = []
297
298    if error_message_to_erroneous_issue_data:
299        for (
300            error_message,
301            erroneous_issue_data,
302        ) in error_message_to_erroneous_issue_data.items():
303            erroneous_issues_lines.append(f"\n#### {error_message}\n")
304
305            for erroneous_issue_data in erroneous_issue_data:
306                erroneous_issues_lines.append(f"- {erroneous_issue_data.url}")
307
308    return erroneous_issues_lines
309
310
311if __name__ == "__main__":
312    app()
313
314# TODO: Sort label output into core and non core sections