diff --git a/script/update_top_ranking_issues/main.py b/script/update_top_ranking_issues/main.py index c6ea1a6cde6ea7641d48dddfec3cf26c3b5175bb..a8728e94dfab67546b1d9ad3c0339323c8f0114f 100644 --- a/script/update_top_ranking_issues/main.py +++ b/script/update_top_ranking_issues/main.py @@ -1,29 +1,24 @@ import os -from datetime import datetime, timedelta -from typing import Optional +from datetime import date, datetime, timedelta +from typing import Any, Optional +import requests import typer -from github import Github -from github.Issue import Issue -from github.Repository import Repository from pytz import timezone from typer import Typer app: Typer = typer.Typer() -DATETIME_FORMAT: str = "%m/%d/%Y %I:%M %p" -ISSUES_PER_LABEL: int = 50 +AMERICA_NEW_YORK_TIMEZONE = "America/New_York" +DATETIME_FORMAT: str = "%B %d, %Y %I:%M %p" +ISSUES_PER_SECTION: int = 50 +ISSUES_TO_FETCH: int = 100 +REPO_OWNER = "zed-industries" +REPO_NAME = "zed" +GITHUB_API_BASE_URL = "https://api.github.com" -class IssueData: - def __init__(self, issue: Issue) -> None: - self.title = issue.title - self.url: str = issue.html_url - self.like_count: int = issue._rawData["reactions"]["+1"] # type: ignore [attr-defined] - self.creation_datetime: str = issue.created_at.strftime(DATETIME_FORMAT) - # TODO: Change script to support storing labels here, rather than directly in the script - self.labels: set[str] = {label["name"] for label in issue._rawData["labels"]} # type: ignore [attr-defined] - self._issue = issue +EXCLUDE_LABEL = "ignore top-ranking issues" @app.command() @@ -32,181 +27,135 @@ def main( issue_reference_number: Optional[int] = None, query_day_interval: Optional[int] = None, ) -> None: - start_time: datetime = datetime.now() - - start_date: datetime | None = None + script_start_time: datetime = datetime.now() + start_date: date | None = None if query_day_interval: - tz = timezone("america/new_york") - current_time = datetime.now(tz).replace( - hour=0, minute=0, second=0, microsecond=0 - ) - start_date = current_time - timedelta(days=query_day_interval) + tz = timezone(AMERICA_NEW_YORK_TIMEZONE) + today = datetime.now(tz).date() + start_date = today - timedelta(days=query_day_interval) - # GitHub Workflow will pass in the token as an environment variable, + # GitHub Workflow will pass in the token as an argument, # but we can place it in our env when running the script locally, for convenience - github_token = github_token or os.getenv("GITHUB_ACCESS_TOKEN") - - with Github(github_token, per_page=100) as github: - remaining_requests_before: int = github.rate_limiting[0] - print(f"Remaining requests before: {remaining_requests_before}") - - repo_name: str = "zed-industries/zed" - repository: Repository = github.get_repo(repo_name) - - label_to_issue_data: dict[str, list[IssueData]] = get_issue_maps( - github, repository, start_date + token = github_token or os.getenv("GITHUB_ACCESS_TOKEN") + if not token: + raise typer.BadParameter( + "GitHub token is required. Pass --github-token or set GITHUB_ACCESS_TOKEN env var." ) - issue_text: str = get_issue_text(label_to_issue_data) - - if issue_reference_number: - top_ranking_issues_issue: Issue = repository.get_issue(issue_reference_number) - top_ranking_issues_issue.edit(body=issue_text) - else: - print(issue_text) - - remaining_requests_after: int = github.rate_limiting[0] - print(f"Remaining requests after: {remaining_requests_after}") - print(f"Requests used: {remaining_requests_before - remaining_requests_after}") - - run_duration: timedelta = datetime.now() - start_time - print(run_duration) - - -def get_issue_maps( - github: Github, - repository: Repository, - start_date: datetime | None = None, -) -> dict[str, list[IssueData]]: - label_to_issue_data: dict[str, list[IssueData]] = get_label_to_issue_data( - github, - repository, - start_date, - ) - - # Create a new dictionary with labels ordered by the summation the of likes on the associated issues - labels = list(label_to_issue_data.keys()) - - labels.sort( - key=lambda label: sum( - issue_data.like_count for issue_data in label_to_issue_data[label] - ), - reverse=True, - ) + headers = { + "Authorization": f"token {token}", + "Accept": "application/vnd.github+json", + } - label_to_issue_data = {label: label_to_issue_data[label] for label in labels} + section_to_issues = get_section_to_issues(headers, start_date) + issue_text: str = create_issue_text(section_to_issues) - return label_to_issue_data + if issue_reference_number: + update_reference_issue(headers, issue_reference_number, issue_text) + else: + print(issue_text) + run_duration: timedelta = datetime.now() - script_start_time + print(f"Ran for {run_duration}") -def get_label_to_issue_data( - github: Github, - repository: Repository, - start_date: datetime | None = None, -) -> dict[str, list[IssueData]]: - common_queries = [ - f"repo:{repository.full_name}", - "is:open", - "is:issue", - '-label:"ignore top-ranking issues"', - "sort:reactions-+1-desc", - ] - date_query: str | None = ( - f"created:>={start_date.strftime('%Y-%m-%d')}" if start_date else None - ) +def get_section_to_issues( + headers: dict[str, str], start_date: date | None = None +) -> dict[str, list[dict[str, Any]]]: + """Fetch top-ranked issues for each section from GitHub.""" - if date_query: - common_queries.append(date_query) - - common_query = " ".join(common_queries) - - # Because PyGithub doesn't seem to support logical operators `AND` and `OR` - # that GitHub issue queries can use, we use lists as values, rather than - # using `(label:bug OR type:Bug)`. This is not as efficient, as we might - # query the same issue multiple times. Issues that are potentially queried - # multiple times are deduplicated in the `label_to_issues` dictionary. If - # PyGithub ever supports logical operators, we should definitely make the - # switch. - section_queries: dict[str, list[str]] = { - "bug": ["label:bug", "type:Bug"], - "crash": ["label:crash", "type:Crash"], - "feature": ["label:feature", "type:Feature"], - "meta": ["type:Meta"], - "windows": ["label:windows"], - "unlabeled": ["no:label no:type"], + section_filters = { + "Bugs": "type:Bug", + "Crashes": "type:Crash", + "Features": "type:Feature", + "Tracking issues": "type:Tracking", + "Meta issues": "type:Meta", + "Windows": 'label:"platform:windows"', } - label_to_issue_data: dict[str, list[IssueData]] = {} - - for section, queries in section_queries.items(): - unique_issues = set() - - for query in queries: - query: str = f"{common_query} {query}" - issues = github.search_issues(query) - - for issue in issues: - unique_issues.add(issue) - - if len(unique_issues) <= 0: + section_to_issues: dict[str, list[dict[str, Any]]] = {} + for section, search_qualifier in section_filters.items(): + query_parts = [ + f"repo:{REPO_OWNER}/{REPO_NAME}", + "is:issue", + "is:open", + f'-label:"{EXCLUDE_LABEL}"', + search_qualifier, + ] + + if start_date: + query_parts.append(f"created:<={start_date.strftime('%Y-%m-%d')}") + + query = " ".join(query_parts) + url = f"{GITHUB_API_BASE_URL}/search/issues" + params = { + "q": query, + "sort": "reactions-+1", + "order": "desc", + "per_page": ISSUES_TO_FETCH, # this will work as long as it's ≤ 100 + } + + # we are only fetching one page on purpose + response = requests.get(url, headers=headers, params=params) + response.raise_for_status() + items = response.json()["items"] + + issues: list[dict[str, Any]] = [] + for item in items: + reactions = item["reactions"] + score = reactions["+1"] - reactions["-1"] + if score > 0: + issues.append({ + "url": item["html_url"], + "score": score, + "created_at": item["created_at"], + }) + + if not issues: continue - issue_data: list[IssueData] = [IssueData(issue) for issue in unique_issues] - issue_data.sort( - key=lambda issue_data: ( - -issue_data.like_count, - issue_data.creation_datetime, - ) - ) - - label_to_issue_data[section] = issue_data[0:ISSUES_PER_LABEL] - - return label_to_issue_data - + issues.sort(key=lambda x: (-x["score"], x["created_at"])) + section_to_issues[section] = issues[:ISSUES_PER_SECTION] -def get_issue_text( - label_to_issue_data: dict[str, list[IssueData]], -) -> str: - tz = timezone("america/new_york") - current_datetime: str = datetime.now(tz).strftime(f"{DATETIME_FORMAT} (%Z)") - - highest_ranking_issues_lines: list[str] = get_highest_ranking_issues_lines( - label_to_issue_data + # Sort sections by total score (highest total first) + section_to_issues = dict( + sorted( + section_to_issues.items(), + key=lambda item: sum(issue["score"] for issue in item[1]), + reverse=True, + ) ) + return section_to_issues - issue_text_lines: list[str] = [ - f"*Updated on {current_datetime}*", - *highest_ranking_issues_lines, - "\n---\n", - "*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)*", - ] - return "\n".join(issue_text_lines) +def update_reference_issue( + headers: dict[str, str], issue_number: int, body: str +) -> None: + url = f"{GITHUB_API_BASE_URL}/repos/{REPO_OWNER}/{REPO_NAME}/issues/{issue_number}" + response = requests.patch(url, headers=headers, json={"body": body}) + response.raise_for_status() -def get_highest_ranking_issues_lines( - label_to_issue_data: dict[str, list[IssueData]], -) -> list[str]: - highest_ranking_issues_lines: list[str] = [] +def create_issue_text(section_to_issues: dict[str, list[dict[str, Any]]]) -> str: + tz = timezone(AMERICA_NEW_YORK_TIMEZONE) + current_datetime: str = datetime.now(tz).strftime(f"{DATETIME_FORMAT} (%Z)") - if label_to_issue_data: - for label, issue_data in label_to_issue_data.items(): - highest_ranking_issues_lines.append(f"\n## {label}\n") + lines: list[str] = [f"*Updated on {current_datetime}*"] - for i, issue_data in enumerate(issue_data): - markdown_bullet_point: str = ( - f"{issue_data.url} ({issue_data.like_count} :thumbsup:)" - ) + for section, issues in section_to_issues.items(): + lines.append(f"\n## {section}\n") + for i, issue in enumerate(issues): + lines.append(f"{i + 1}. {issue['url']} ({issue['score']} :thumbsup:)") - markdown_bullet_point = f"{i + 1}. {markdown_bullet_point}" - highest_ranking_issues_lines.append(markdown_bullet_point) + lines.append("\n---\n") + lines.append( + "*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)*" + ) - return highest_ranking_issues_lines + return "\n".join(lines) if __name__ == "__main__": app() - -# TODO: Sort label output into core and non core sections diff --git a/script/update_top_ranking_issues/pyproject.toml b/script/update_top_ranking_issues/pyproject.toml index 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