parent
a43793493a
commit
ee280b0d05
7 changed files with 675 additions and 0 deletions
25
.github/workflows/community_update_all_top_ranking_issues.yml
vendored
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25
.github/workflows/community_update_all_top_ranking_issues.yml
vendored
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name: Update All Top Ranking Issues
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on:
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schedule:
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- cron: "0 */12 * * *"
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workflow_dispatch:
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jobs:
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update_top_ranking_issues:
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runs-on: ubuntu-latest
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if: github.repository == 'zed-industries/zed'
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steps:
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- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
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- name: Set up uv
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uses: astral-sh/setup-uv@caf0cab7a618c569241d31dcd442f54681755d39 # v3
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with:
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version: "latest"
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enable-cache: true
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cache-dependency-glob: "script/update_top_ranking_issues/pyproject.toml"
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- name: Install Python 3.13
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run: uv python install 3.13
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- name: Install dependencies
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run: uv sync --project script/update_top_ranking_issues -p 3.13
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- name: Run script
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run: uv run --project script/update_top_ranking_issues script/update_top_ranking_issues/main.py --github-token ${{ secrets.GITHUB_TOKEN }} --issue-reference-number 5393
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25
.github/workflows/community_update_weekly_top_ranking_issues.yml
vendored
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25
.github/workflows/community_update_weekly_top_ranking_issues.yml
vendored
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name: Update Weekly Top Ranking Issues
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on:
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schedule:
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- cron: "0 15 * * *"
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workflow_dispatch:
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jobs:
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update_top_ranking_issues:
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runs-on: ubuntu-latest
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if: github.repository == 'zed-industries/zed'
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steps:
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- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
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- name: Set up uv
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uses: astral-sh/setup-uv@caf0cab7a618c569241d31dcd442f54681755d39 # v3
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with:
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version: "latest"
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enable-cache: true
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cache-dependency-glob: "script/update_top_ranking_issues/pyproject.toml"
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- name: Install Python 3.13
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run: uv python install 3.13
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- name: Install dependencies
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run: uv sync --project script/update_top_ranking_issues -p 3.13
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- name: Run script
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run: uv run --project script/update_top_ranking_issues script/update_top_ranking_issues/main.py --github-token ${{ secrets.GITHUB_TOKEN }} --issue-reference-number 6952 --query-day-interval 7
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1
script/update_top_ranking_issues/.python-version
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1
script/update_top_ranking_issues/.python-version
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@ -0,0 +1 @@
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3.13
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215
script/update_top_ranking_issues/main.py
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215
script/update_top_ranking_issues/main.py
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import os
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from collections import defaultdict
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from datetime import datetime, timedelta
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from typing import Optional
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import typer
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from github import Github
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from github.Issue import Issue
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from github.Repository import Repository
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from pytz import timezone
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from typer import Typer
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app: Typer = typer.Typer()
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DATETIME_FORMAT: str = "%m/%d/%Y %I:%M %p"
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ISSUES_PER_LABEL: int = 50
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class IssueData:
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def __init__(self, issue: Issue) -> None:
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self.title = issue.title
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self.url: str = issue.html_url
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self.like_count: int = issue._rawData["reactions"]["+1"] # type: ignore [attr-defined]
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self.creation_datetime: str = issue.created_at.strftime(DATETIME_FORMAT)
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# TODO: Change script to support storing labels here, rather than directly in the script
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self.labels: set[str] = {label["name"] for label in issue._rawData["labels"]} # type: ignore [attr-defined]
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self._issue = issue
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@app.command()
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def main(
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github_token: Optional[str] = None,
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issue_reference_number: Optional[int] = None,
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query_day_interval: Optional[int] = None,
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) -> None:
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start_time: datetime = datetime.now()
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start_date: datetime | None = None
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if query_day_interval:
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tz = timezone("america/new_york")
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current_time = datetime.now(tz).replace(
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hour=0, minute=0, second=0, microsecond=0
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)
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start_date = current_time - timedelta(days=query_day_interval)
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# GitHub Workflow will pass in the token as an environment variable,
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# but we can place it in our env when running the script locally, for convenience
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github_token = github_token or os.getenv("GITHUB_ACCESS_TOKEN")
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github = Github(github_token)
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remaining_requests_before: int = github.rate_limiting[0]
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print(f"Remaining requests before: {remaining_requests_before}")
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repo_name: str = "zed-industries/zed"
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repository: Repository = github.get_repo(repo_name)
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label_to_issue_data: dict[str, list[IssueData]] = get_issue_maps(
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github, repository, start_date
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)
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issue_text: str = get_issue_text(label_to_issue_data)
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if issue_reference_number:
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top_ranking_issues_issue: Issue = repository.get_issue(issue_reference_number)
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top_ranking_issues_issue.edit(body=issue_text)
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else:
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print(issue_text)
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remaining_requests_after: int = github.rate_limiting[0]
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print(f"Remaining requests after: {remaining_requests_after}")
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print(f"Requests used: {remaining_requests_before - remaining_requests_after}")
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run_duration: timedelta = datetime.now() - start_time
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print(run_duration)
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def get_issue_maps(
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github: Github,
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repository: Repository,
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start_date: datetime | None = None,
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) -> dict[str, list[IssueData]]:
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label_to_issues: defaultdict[str, list[Issue]] = get_label_to_issues(
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github,
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repository,
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start_date,
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)
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label_to_issue_data: dict[str, list[IssueData]] = get_label_to_issue_data(
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label_to_issues
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)
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# Create a new dictionary with labels ordered by the summation the of likes on the associated issues
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labels = list(label_to_issue_data.keys())
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labels.sort(
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key=lambda label: sum(
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issue_data.like_count for issue_data in label_to_issue_data[label]
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),
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reverse=True,
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)
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label_to_issue_data = {label: label_to_issue_data[label] for label in labels}
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return label_to_issue_data
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def get_label_to_issues(
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github: Github,
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repository: Repository,
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start_date: datetime | None = None,
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) -> defaultdict[str, list[Issue]]:
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common_filters = [
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f"repo:{repository.full_name}",
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"is:open",
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"is:issue",
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'-label:"ignore top-ranking issues"',
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"sort:reactions-+1-desc",
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]
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date_query: str | None = (
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f"created:>={start_date.strftime('%Y-%m-%d')}" if start_date else None
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)
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if date_query:
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common_filters.append(date_query)
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common_filter_string = " ".join(common_filters)
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section_queries = {
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"bug": "label:bug,type:Bug",
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"crash": "label:crash,type:Crash",
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"feature": "label:feature",
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"meta": "type:Meta",
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"unlabeled": "no:label no:type",
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}
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label_to_issues: defaultdict[str, list[Issue]] = defaultdict(list)
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for section, section_query in section_queries.items():
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label_query: str = f"{common_filter_string} {section_query}"
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issues = github.search_issues(label_query)
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if issues.totalCount > 0:
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for issue in issues[0:ISSUES_PER_LABEL]:
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label_to_issues[section].append(issue)
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return label_to_issues
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def get_label_to_issue_data(
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label_to_issues: defaultdict[str, list[Issue]],
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) -> dict[str, list[IssueData]]:
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label_to_issue_data: dict[str, list[IssueData]] = {}
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for label in label_to_issues:
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issues: list[Issue] = label_to_issues[label]
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issue_data: list[IssueData] = [IssueData(issue) for issue in issues]
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issue_data.sort(
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key=lambda issue_data: (
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-issue_data.like_count,
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issue_data.creation_datetime,
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)
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)
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if issue_data:
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label_to_issue_data[label] = issue_data
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return label_to_issue_data
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def get_issue_text(
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label_to_issue_data: dict[str, list[IssueData]],
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) -> str:
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tz = timezone("america/new_york")
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current_datetime: str = datetime.now(tz).strftime(f"{DATETIME_FORMAT} (%Z)")
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highest_ranking_issues_lines: list[str] = get_highest_ranking_issues_lines(
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label_to_issue_data
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)
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issue_text_lines: list[str] = [
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f"*Updated on {current_datetime}*",
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*highest_ranking_issues_lines,
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"\n---\n",
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"*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)*",
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]
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return "\n".join(issue_text_lines)
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def get_highest_ranking_issues_lines(
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label_to_issue_data: dict[str, list[IssueData]],
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) -> list[str]:
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highest_ranking_issues_lines: list[str] = []
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if label_to_issue_data:
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for label, issue_data in label_to_issue_data.items():
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highest_ranking_issues_lines.append(f"\n## {label}\n")
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for i, issue_data in enumerate(issue_data):
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markdown_bullet_point: str = (
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f"{issue_data.url} ({issue_data.like_count} :thumbsup:)"
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)
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markdown_bullet_point = f"{i + 1}. {markdown_bullet_point}"
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highest_ranking_issues_lines.append(markdown_bullet_point)
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return highest_ranking_issues_lines
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if __name__ == "__main__":
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app()
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# TODO: Sort label output into core and non core sections
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13
script/update_top_ranking_issues/pyproject.toml
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13
script/update_top_ranking_issues/pyproject.toml
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@ -0,0 +1,13 @@
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[project]
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name = "update-top-ranking-issues"
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version = "0.1.0"
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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"mypy>=1.15.0",
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"pygithub>=2.6.1",
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"pytz>=2025.1",
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"ruff>=0.9.7",
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"typer>=0.15.1",
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"types-pytz>=2025.1.0.20250204",
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]
|
4
script/update_top_ranking_issues/pyrightconfig.json
Normal file
4
script/update_top_ranking_issues/pyrightconfig.json
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@ -0,0 +1,4 @@
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{
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"venvPath": ".",
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"venv": ".venv"
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}
|
392
script/update_top_ranking_issues/uv.lock
generated
Normal file
392
script/update_top_ranking_issues/uv.lock
generated
Normal file
|
@ -0,0 +1,392 @@
|
|||
version = 1
|
||||
revision = 1
|
||||
requires-python = ">=3.13"
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2024.8.30"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b0/ee/9b19140fe824b367c04c5e1b369942dd754c4c5462d5674002f75c4dedc1/certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9", size = 168507 }
|
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wheels = [
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "cffi"
|
||||
version = "1.17.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
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{ name = "pycparser" },
|
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]
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sdist = { url = "https://files.pythonhosted.org/packages/fc/97/c783634659c2920c3fc70419e3af40972dbaf758daa229a7d6ea6135c90d/cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824", size = 516621 }
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[[package]]
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Loading…
Add table
Add a link
Reference in a new issue