mirror of
https://github.com/zed-industries/zed.git
synced 2024-12-27 19:02:07 +00:00
313 lines
10 KiB
Python
313 lines
10 KiB
Python
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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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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import typer
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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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CORE_LABELS: set[str] = set(
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[
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"defect",
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"design",
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"documentation",
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"enhancement",
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"panic / crash",
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"platform support",
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]
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)
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# A set of labels for adding in labels that we want present in the final
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# report, but that we don't want being defined as a core label, since issues
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# with without core labels are flagged as errors.
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ADDITIONAL_LABELS: set[str] = set(["ai", "vim"])
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IGNORED_LABELS: set[str] = set(
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[
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"meta",
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]
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)
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ISSUES_PER_LABEL: int = 20
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class IssueData:
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def __init__(self, issue: Issue) -> None:
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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] = set(label["name"] for label in issue._rawData["labels"]) # type: ignore [attr-defined]
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@app.command()
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def main(
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issue_reference_number: int,
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github_token: Optional[str] = None,
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prod: bool = False,
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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(hour=0, minute=0, second=0, microsecond=0)
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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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# There has to be a nice way of adding types to tuple unpacking
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label_to_issue_data: dict[str, list[IssueData]]
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error_message_to_erroneous_issue_data: dict[str, list[IssueData]]
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(
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label_to_issue_data,
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error_message_to_erroneous_issue_data,
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) = get_issue_maps(github, repository, start_date)
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issue_text: str = get_issue_text(
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label_to_issue_data,
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error_message_to_erroneous_issue_data,
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)
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if prod:
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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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) -> tuple[dict[str, list[IssueData]], 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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error_message_to_erroneous_issues: defaultdict[
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str, list[Issue]
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] = get_error_message_to_erroneous_issues(github, repository)
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error_message_to_erroneous_issue_data: dict[
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str, list[IssueData]
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] = get_error_message_to_erroneous_issue_data(error_message_to_erroneous_issues)
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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 (
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label_to_issue_data,
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error_message_to_erroneous_issue_data,
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)
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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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label_to_issues: defaultdict[str, list[Issue]] = defaultdict(list)
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labels: set[str] = CORE_LABELS | ADDITIONAL_LABELS
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ignored_labels_text: str = " ".join(
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[f'-label:"{label}"' for label in IGNORED_LABELS]
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)
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date_query: str = (
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f"created:>={start_date.strftime('%Y-%m-%d')}" if start_date else ""
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)
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for label in labels:
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query: str = f'repo:{repository.full_name} is:open is:issue {date_query} label:"{label}" {ignored_labels_text} sort:reactions-+1-desc'
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issues = github.search_issues(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[label].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_error_message_to_erroneous_issues(
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github: Github, repository: Repository
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) -> defaultdict[str, list[Issue]]:
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error_message_to_erroneous_issues: defaultdict[str, list[Issue]] = defaultdict(list)
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# Query for all open issues that don't have either a core or ignored label and mark those as erroneous
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filter_labels: set[str] = CORE_LABELS | IGNORED_LABELS
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filter_labels_text: str = " ".join([f'-label:"{label}"' for label in filter_labels])
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query: str = f"repo:{repository.full_name} is:open is:issue {filter_labels_text}"
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for issue in github.search_issues(query):
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error_message_to_erroneous_issues["missing core label"].append(issue)
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return error_message_to_erroneous_issues
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def get_error_message_to_erroneous_issue_data(
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error_message_to_erroneous_issues: defaultdict[str, list[Issue]],
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) -> dict[str, list[IssueData]]:
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error_message_to_erroneous_issue_data: dict[str, list[IssueData]] = {}
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for label in error_message_to_erroneous_issues:
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issues: list[Issue] = error_message_to_erroneous_issues[label]
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issue_data: list[IssueData] = [IssueData(issue) for issue in issues]
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error_message_to_erroneous_issue_data[label] = issue_data
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return error_message_to_erroneous_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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error_message_to_erroneous_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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"",
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"---\n",
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]
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erroneous_issues_lines: list[str] = get_erroneous_issues_lines(
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error_message_to_erroneous_issue_data
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)
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if erroneous_issues_lines:
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core_labels_text: str = ", ".join(
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f'"{core_label}"' for core_label in CORE_LABELS
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)
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ignored_labels_text: str = ", ".join(
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f'"{ignored_label}"' for ignored_label in IGNORED_LABELS
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)
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issue_text_lines.extend(
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[
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"## errors with issues (this section only shows when there are errors with issues)\n",
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f"This script expects every issue to have at least one of the following core labels: {core_labels_text}",
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f"This script currently ignores issues that have one of the following labels: {ignored_labels_text}\n",
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"### what to do?\n",
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"- Adjust the core labels on an issue to put it into a correct state or add a currently-ignored label to the issue",
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"- Adjust the core and ignored labels registered in this script",
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*erroneous_issues_lines,
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"",
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"---\n",
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]
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)
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issue_text_lines.extend(
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[
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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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)
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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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def get_erroneous_issues_lines(
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error_message_to_erroneous_issue_data,
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) -> list[str]:
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erroneous_issues_lines: list[str] = []
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if error_message_to_erroneous_issue_data:
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for (
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error_message,
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erroneous_issue_data,
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) in error_message_to_erroneous_issue_data.items():
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erroneous_issues_lines.append(f"\n#### {error_message}\n")
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for erroneous_issue_data in erroneous_issue_data:
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erroneous_issues_lines.append(f"- {erroneous_issue_data.url}")
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return erroneous_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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