mirror of
https://github.com/ClickHouse/ClickHouse.git
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213 lines
8.4 KiB
Python
213 lines
8.4 KiB
Python
#!/usr/bin/env python
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"""Helper for GitHub API requests"""
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import logging
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from datetime import date, datetime, timedelta
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from pathlib import Path
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from os import path as p
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from time import sleep
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from typing import List, Optional, Tuple
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import github
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from github.GithubException import RateLimitExceededException
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from github.Issue import Issue
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from github.NamedUser import NamedUser
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from github.PullRequest import PullRequest
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from github.Repository import Repository
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CACHE_PATH = p.join(p.dirname(p.realpath(__file__)), "gh_cache")
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logger = logging.getLogger(__name__)
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PullRequests = List[PullRequest]
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Issues = List[Issue]
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class GitHub(github.Github):
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def __init__(self, *args, **kwargs):
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# Define meta attribute
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self._cache_path = Path(CACHE_PATH)
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# And set Path
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super().__init__(*args, **kwargs)
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self._retries = 0
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# pylint: disable=signature-differs
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def search_issues(self, *args, **kwargs) -> Issues: # type: ignore
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"""Wrapper around search method with throttling and splitting by date.
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We split only by the first"""
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splittable = False
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for arg, value in kwargs.items():
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if arg in ["closed", "created", "merged", "updated"]:
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if hasattr(value, "__iter__") and not isinstance(value, str):
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assert [True for v in value if isinstance(v, (date, datetime))]
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assert len(value) == 2
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kwargs[arg] = f"{value[0].isoformat()}..{value[1].isoformat()}"
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if not splittable:
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# We split only by the first met splittable argument
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preserved_arg = arg
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preserved_value = value
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middle_value = value[0] + (value[1] - value[0]) / 2
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splittable = middle_value not in value
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continue
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assert isinstance(value, (date, datetime, str))
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inter_result = [] # type: Issues
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for i in range(self.retries):
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try:
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logger.debug("Search issues, args=%s, kwargs=%s", args, kwargs)
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result = super().search_issues(*args, **kwargs)
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if result.totalCount == 1000 and splittable:
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# The hard limit is 1000. If it's splittable, then we make
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# two subrequests requests with less time frames
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logger.debug(
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"The search result contain exactly 1000 results, "
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"splitting %s=%s by middle point %s",
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preserved_arg,
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kwargs[preserved_arg],
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middle_value,
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)
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kwargs[preserved_arg] = [preserved_value[0], middle_value]
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inter_result.extend(self.search_issues(*args, **kwargs))
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if isinstance(middle_value, date):
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# When middle_value is a date, 2022-01-01..2022-01-03
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# is split to 2022-01-01..2022-01-02 and
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# 2022-01-02..2022-01-03, so we have results for
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# 2022-01-02 twicely. We split it to
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# 2022-01-01..2022-01-02 and 2022-01-03..2022-01-03.
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# 2022-01-01..2022-01-02 aren't split, see splittable
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middle_value += timedelta(days=1)
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kwargs[preserved_arg] = [middle_value, preserved_value[1]]
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inter_result.extend(self.search_issues(*args, **kwargs))
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return inter_result
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inter_result.extend(result)
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return inter_result
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except RateLimitExceededException as e:
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if i == self.retries - 1:
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exception = e
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self.sleep_on_rate_limit()
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raise exception
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# pylint: enable=signature-differs
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def get_pulls_from_search(self, *args, **kwargs) -> PullRequests:
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"""The search api returns actually issues, so we need to fetch PullRequests"""
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issues = self.search_issues(*args, **kwargs)
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repos = {}
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prs = [] # type: PullRequests
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for issue in issues:
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# See https://github.com/PyGithub/PyGithub/issues/2202,
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# obj._rawData doesn't spend additional API requests
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# pylint: disable=protected-access
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repo_url = issue._rawData["repository_url"] # type: ignore
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if repo_url not in repos:
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repos[repo_url] = issue.repository
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prs.append(
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self.get_pull_cached(repos[repo_url], issue.number, issue.updated_at)
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)
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return prs
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def sleep_on_rate_limit(self):
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for limit, data in self.get_rate_limit().raw_data.items():
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if data["remaining"] == 0:
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sleep_time = data["reset"] - int(datetime.now().timestamp()) + 1
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if sleep_time > 0:
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logger.warning(
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"Faced rate limit for '%s' requests type, sleeping %s",
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limit,
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sleep_time,
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)
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sleep(sleep_time)
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return
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def get_pull_cached(
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self, repo: Repository, number: int, obj_updated_at: Optional[datetime] = None
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) -> PullRequest:
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cache_file = self.cache_path / f"pr-{number}.pickle"
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if cache_file.is_file():
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is_updated, cached_pr = self._is_cache_updated(cache_file, obj_updated_at)
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if is_updated:
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logger.debug("Getting PR #%s from cache", number)
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return cached_pr # type: ignore
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logger.debug("Getting PR #%s from API", number)
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for i in range(self.retries):
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try:
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pr = repo.get_pull(number)
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break
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except RateLimitExceededException:
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if i == self.retries - 1:
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raise
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self.sleep_on_rate_limit()
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logger.debug("Caching PR #%s from API in %s", number, cache_file)
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with open(cache_file, "wb") as prfd:
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self.dump(pr, prfd) # type: ignore
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return pr
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def get_user_cached(
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self, login: str, obj_updated_at: Optional[datetime] = None
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) -> NamedUser:
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cache_file = self.cache_path / f"user-{login}.pickle"
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if cache_file.is_file():
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is_updated, cached_user = self._is_cache_updated(cache_file, obj_updated_at)
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if is_updated:
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logger.debug("Getting user %s from cache", login)
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return cached_user # type: ignore
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logger.debug("Getting PR #%s from API", login)
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for i in range(self.retries):
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try:
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user = self.get_user(login)
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break
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except RateLimitExceededException:
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if i == self.retries - 1:
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raise
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self.sleep_on_rate_limit()
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logger.debug("Caching user %s from API in %s", login, cache_file)
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with open(cache_file, "wb") as prfd:
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self.dump(user, prfd) # type: ignore
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return user
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def _get_cached(self, path: Path):
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with open(path, "rb") as ob_fd:
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return self.load(ob_fd) # type: ignore
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def _is_cache_updated(
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self, cache_file: Path, obj_updated_at: Optional[datetime]
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) -> Tuple[bool, object]:
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cached_obj = self._get_cached(cache_file)
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# We don't want the cache_updated being always old,
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# for example in cases when the user is not updated for ages
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cache_updated = max(
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datetime.fromtimestamp(cache_file.stat().st_mtime), cached_obj.updated_at
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)
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if obj_updated_at is None:
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# When we don't know about the object is updated or not,
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# we update it once per hour
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obj_updated_at = datetime.now() - timedelta(hours=1)
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if obj_updated_at <= cache_updated:
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return True, cached_obj
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return False, cached_obj
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@property
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def cache_path(self):
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return self._cache_path
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@cache_path.setter
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def cache_path(self, value: str):
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self._cache_path = Path(value)
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if self._cache_path.exists():
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assert self._cache_path.is_dir()
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else:
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self._cache_path.mkdir(parents=True)
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@property
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def retries(self):
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if self._retries == 0:
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self._retries = 3
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return self._retries
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@retries.setter
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def retries(self, value: int):
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self._retries = value
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