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Benchmark downloader (script + CI job) #12818
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Original file line number | Diff line number | Diff line change |
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import subprocess | ||
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def run_git_command(command): | ||
process = subprocess.run( | ||
command, | ||
encoding='utf8', | ||
capture_output=True, | ||
check=True, | ||
) | ||
return process.stdout.strip() | ||
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def git_current_branch(): | ||
return run_git_command(['git', 'symbolic-ref', 'HEAD', '--short']) | ||
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def git_commit_hash(ref: str = 'HEAD'): | ||
return run_git_command(['git', 'rev-parse', '--verify', ref]) |
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Original file line number | Diff line number | Diff line change |
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from pathlib import Path | ||
from typing import List, Mapping, Optional | ||
import functools | ||
import json | ||
import operator | ||
import shutil | ||
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import requests | ||
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class APIHelperError(Exception): | ||
pass | ||
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class DataUnavailable(APIHelperError): | ||
pass | ||
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class InvalidResponse(APIHelperError): | ||
pass | ||
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class FileAlreadyExists(APIHelperError): | ||
pass | ||
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def query_api(url: str, params: Mapping[str, str], debug_requests=False) -> dict: | ||
if debug_requests: | ||
print(f'REQUEST URL: {url}') | ||
if len(params) > 0: | ||
print(f'QUERY: {params}') | ||
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response = requests.get(url, params=params) | ||
response.raise_for_status() | ||
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if debug_requests: | ||
json_response = response.json() | ||
print('========== RESPONSE ==========') | ||
if json_response is not None: | ||
print(json.dumps(json_response, indent=4)) | ||
else: | ||
print(response.content) | ||
print('==============================') | ||
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return response.json() | ||
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def download_file(url: str, target_path: Path, overwrite=False): | ||
if not overwrite and target_path.exists(): | ||
raise FileAlreadyExists(f"Refusing to overwrite existing file: '{target_path}'.") | ||
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with requests.get(url, stream=True) as request: | ||
with open(target_path, 'wb') as target_file: | ||
shutil.copyfileobj(request.raw, target_file) | ||
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class Github: | ||
BASE_URL = 'https://api.github.com' | ||
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project_slug: str | ||
debug_requests: bool | ||
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def __init__(self, project_slug: str, debug_requests: bool): | ||
self.project_slug = project_slug | ||
self.debug_requests = debug_requests | ||
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def pull_request(self, pr_id: int) -> dict: | ||
return query_api( | ||
f'{self.BASE_URL}/repos/{self.project_slug}/pulls/{pr_id}', | ||
{}, | ||
self.debug_requests | ||
) | ||
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class CircleCI: | ||
# None might be a more logical default for max_pages but in most cases we'll actually | ||
# want some limit to prevent flooding the API with requests in case of a bug. | ||
DEFAULT_MAX_PAGES = 10 | ||
BASE_URL = 'https://circleci.com/api/v2' | ||
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project_slug: str | ||
debug_requests: bool | ||
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def __init__(self, project_slug: str, debug_requests: bool): | ||
self.project_slug = project_slug | ||
self.debug_requests = debug_requests | ||
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def paginated_query_api_iterator(self, url: str, params: Mapping[str, str], max_pages: int = DEFAULT_MAX_PAGES): | ||
assert 'page-token' not in params | ||
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page_count = 0 | ||
next_page_token = None | ||
while max_pages is None or page_count < max_pages: | ||
if next_page_token is not None: | ||
params = {**params, 'page-token': next_page_token} | ||
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json_response = query_api(url, params, self.debug_requests) | ||
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yield json_response['items'] | ||
next_page_token = json_response['next_page_token'] | ||
page_count += 1 | ||
if next_page_token is None: | ||
break | ||
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def paginated_query_api(self, url: str, params: Mapping[str, str], max_pages: int = DEFAULT_MAX_PAGES): | ||
return functools.reduce(operator.add, self.paginated_query_api_iterator(url, params, max_pages), []) | ||
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def pipelines( | ||
self, | ||
branch: Optional[str] = None, | ||
commit_hash: Optional[str] = None, | ||
excluded_trigger_types: List[str] = None, | ||
) -> List[dict]: | ||
if excluded_trigger_types is None: | ||
excluded_trigger_types = [] | ||
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for items in self.paginated_query_api_iterator( | ||
f'{self.BASE_URL}/project/gh/{self.project_slug}/pipeline', | ||
{'branch': branch} if branch is not None else {}, | ||
max_pages=10, | ||
): | ||
matching_items = [ | ||
item | ||
for item in items | ||
if ( | ||
(commit_hash is None or item['vcs']['revision'] == commit_hash) and | ||
item['trigger']['type'] not in excluded_trigger_types | ||
) | ||
] | ||
if len(matching_items) > 0: | ||
return matching_items | ||
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return [] | ||
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def workflows(self, pipeline_id: str) -> dict: | ||
return self.paginated_query_api(f'{self.BASE_URL}/pipeline/{pipeline_id}/workflow', {}) | ||
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def jobs(self, workflow_id: str) -> Mapping[str, dict]: | ||
items = self.paginated_query_api(f'{self.BASE_URL}/workflow/{workflow_id}/job', {}) | ||
jobs_by_name = {job['name']: job for job in items} | ||
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assert len(jobs_by_name) <= len(items) | ||
if len(jobs_by_name) < len(items): | ||
raise InvalidResponse("Job names in the workflow are not unique.") | ||
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return jobs_by_name | ||
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def job(self, workflow_id: str, name: str, require_success: bool = False) -> dict: | ||
jobs = self.jobs(workflow_id) | ||
if name not in jobs: | ||
raise DataUnavailable(f"Job {name} is not present in the workflow.") | ||
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if require_success and jobs[name]['status'] != 'success': | ||
raise DataUnavailable( | ||
f"Job {name} has failed or is still running. " | ||
f"Current status: {jobs[name]['status']}." | ||
) | ||
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return jobs[name] | ||
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def artifacts(self, job_number: int) -> Mapping[str, dict]: | ||
items = self.paginated_query_api(f'{self.BASE_URL}/project/gh/{self.project_slug}/{job_number}/artifacts', {}) | ||
artifacts_by_name = {artifact['path']: artifact for artifact in items} | ||
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assert len(artifacts_by_name) <= len(items) | ||
if len(artifacts_by_name) < len(items): | ||
raise InvalidResponse("Names of artifacts attached to the job are not unique.") | ||
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return artifacts_by_name | ||
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@staticmethod | ||
def latest_item(items: dict) -> dict: | ||
sorted_items = sorted(items, key=lambda item: item['created_at'], reverse=True) | ||
return sorted_items[0] if len(sorted_items) > 0 else None |
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We might not need all of these.
benchmark-diff-summarized-table-markdown-humanized.md
will probably be the most useful one in practice. It will soon be possible to include extra columns with absolute values in it as well.On the other hand the overhead of having all of them is negligible and also this acts as an end to end test for the script so I included them here anyway.