mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-12-04 21:42:39 +00:00
378 lines
12 KiB
Python
378 lines
12 KiB
Python
#!/usr/bin/env python3
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from base64 import b64decode
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from collections import namedtuple
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from typing import Any, Dict, List, Optional, Tuple
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from threading import Thread
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from queue import Queue
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import json
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import re
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import time
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import requests # type: ignore
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from lambda_shared.pr import CATEGORY_TO_LABEL, check_pr_description
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from lambda_shared.token import get_cached_access_token
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NEED_RERUN_ON_EDITED = {
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"PullRequestCI",
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"DocsCheck",
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}
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NEED_RERUN_OR_CANCELL_WORKFLOWS = {
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"BackportPR",
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}.union(NEED_RERUN_ON_EDITED)
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MAX_RETRY = 5
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DEBUG_INFO = {} # type: Dict[str, Any]
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class Worker(Thread):
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def __init__(
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self, request_queue: Queue, token: str, ignore_exception: bool = False
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):
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Thread.__init__(self)
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self.queue = request_queue
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self.token = token
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self.ignore_exception = ignore_exception
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self.response = {} # type: Dict
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def run(self):
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m = self.queue.get()
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try:
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self.response = _exec_get_with_retry(m, self.token)
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except Exception as e:
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if not self.ignore_exception:
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raise
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print(f"Exception occured, still continue: {e}")
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self.queue.task_done()
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def _exec_get_with_retry(url: str, token: str) -> dict:
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headers = {"Authorization": f"token {token}"}
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for i in range(MAX_RETRY):
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try:
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response = requests.get(url, headers=headers)
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response.raise_for_status()
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return response.json() # type: ignore
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except Exception as ex:
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print("Got exception executing request", ex)
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time.sleep(i + 1)
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raise Exception("Cannot execute GET request with retries")
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WorkflowDescription = namedtuple(
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"WorkflowDescription",
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[
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"url",
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"run_id",
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"name",
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"head_sha",
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"status",
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"rerun_url",
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"cancel_url",
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"conclusion",
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],
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)
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def get_workflows_description_for_pull_request(
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pull_request_event: dict, token: str
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) -> List[WorkflowDescription]:
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head_repo = pull_request_event["head"]["repo"]["full_name"]
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head_branch = pull_request_event["head"]["ref"]
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print("PR", pull_request_event["number"], "has head ref", head_branch)
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workflows_data = []
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repo_url = pull_request_event["base"]["repo"]["url"]
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request_url = f"{repo_url}/actions/runs?per_page=100"
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# Get all workflows for the current branch
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for i in range(1, 11):
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workflows = _exec_get_with_retry(
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f"{request_url}&event=pull_request&branch={head_branch}&page={i}", token
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)
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if not workflows["workflow_runs"]:
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break
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workflows_data += workflows["workflow_runs"]
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if i == 10:
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print("Too many workflows found")
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if not workflows_data:
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print("No workflows found by filter")
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return []
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print(f"Total workflows for the branch {head_branch} found: {len(workflows_data)}")
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DEBUG_INFO["workflows"] = []
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workflow_descriptions = []
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for workflow in workflows_data:
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# Some time workflow["head_repository"]["full_name"] is None
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if workflow["head_repository"] is None:
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continue
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DEBUG_INFO["workflows"].append(
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{
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"full_name": workflow["head_repository"]["full_name"],
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"name": workflow["name"],
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"branch": workflow["head_branch"],
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}
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)
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# unfortunately we cannot filter workflows from forks in request to API
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# so doing it manually
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if (
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workflow["head_repository"]["full_name"] == head_repo
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and workflow["name"] in NEED_RERUN_OR_CANCELL_WORKFLOWS
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):
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workflow_descriptions.append(
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WorkflowDescription(
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url=workflow["url"],
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run_id=workflow["id"],
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name=workflow["name"],
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head_sha=workflow["head_sha"],
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status=workflow["status"],
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rerun_url=workflow["rerun_url"],
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cancel_url=workflow["cancel_url"],
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conclusion=workflow["conclusion"],
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)
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)
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return workflow_descriptions
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def get_workflow_description_fallback(
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pull_request_event: dict, token: str
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) -> List[WorkflowDescription]:
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head_repo = pull_request_event["head"]["repo"]["full_name"]
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head_branch = pull_request_event["head"]["ref"]
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print("Get last 500 workflows from API to search related there")
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# Fallback for a case of an already deleted branch and no workflows received
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repo_url = pull_request_event["base"]["repo"]["url"]
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request_url = f"{repo_url}/actions/runs?per_page=100"
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q = Queue() # type: Queue
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workers = []
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workflows_data = []
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i = 1
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for i in range(1, 6):
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q.put(f"{request_url}&page={i}")
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worker = Worker(q, token, True)
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worker.start()
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workers.append(worker)
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for worker in workers:
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worker.join()
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if not worker.response:
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# We ignore get errors, so response can be empty
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continue
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# Prefilter workflows
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workflows_data += [
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wf
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for wf in worker.response["workflow_runs"]
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if wf["head_repository"] is not None
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and wf["head_repository"]["full_name"] == head_repo
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and wf["head_branch"] == head_branch
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and wf["name"] in NEED_RERUN_OR_CANCELL_WORKFLOWS
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]
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print(f"Total workflows in last 500 actions matches: {len(workflows_data)}")
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DEBUG_INFO["workflows"] = [
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{
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"full_name": wf["head_repository"]["full_name"],
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"name": wf["name"],
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"branch": wf["head_branch"],
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}
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for wf in workflows_data
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]
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workflow_descriptions = [
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WorkflowDescription(
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url=wf["url"],
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run_id=wf["id"],
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name=wf["name"],
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head_sha=wf["head_sha"],
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status=wf["status"],
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rerun_url=wf["rerun_url"],
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cancel_url=wf["cancel_url"],
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conclusion=wf["conclusion"],
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)
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for wf in workflows_data
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]
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return workflow_descriptions
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def get_workflow_description(workflow_url: str, token: str) -> WorkflowDescription:
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workflow = _exec_get_with_retry(workflow_url, token)
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return WorkflowDescription(
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url=workflow["url"],
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run_id=workflow["id"],
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name=workflow["name"],
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head_sha=workflow["head_sha"],
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status=workflow["status"],
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rerun_url=workflow["rerun_url"],
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cancel_url=workflow["cancel_url"],
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conclusion=workflow["conclusion"],
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)
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def _exec_post_with_retry(url: str, token: str, json: Optional[Any] = None) -> Any:
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headers = {"Authorization": f"token {token}"}
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for i in range(MAX_RETRY):
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try:
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response = requests.post(url, headers=headers, json=json)
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response.raise_for_status()
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return response.json()
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except Exception as ex:
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print("Got exception executing request", ex)
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time.sleep(i + 1)
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raise Exception("Cannot execute POST request with retry")
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def exec_workflow_url(urls_to_post, token):
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for url in urls_to_post:
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print("Post for workflow workflow using url", url)
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_exec_post_with_retry(url, token)
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print("Workflow post finished")
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def main(event):
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token = get_cached_access_token()
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DEBUG_INFO["event"] = event
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if event["isBase64Encoded"]:
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event_data = json.loads(b64decode(event["body"]))
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else:
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event_data = json.loads(event["body"])
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print("Got event for PR", event_data["number"])
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action = event_data["action"]
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print("Got action", event_data["action"])
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pull_request = event_data["pull_request"]
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label = ""
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if action == "labeled":
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label = event_data["label"]["name"]
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print("Added label:", label)
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print("PR has labels", {label["name"] for label in pull_request["labels"]})
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if action == "opened" or (
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action == "labeled" and pull_request["created_at"] == pull_request["updated_at"]
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):
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print("Freshly opened PR, nothing to do")
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return
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if action == "closed" or label == "do not test":
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print("PR merged/closed or manually labeled 'do not test', will kill workflows")
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workflow_descriptions = get_workflows_description_for_pull_request(
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pull_request, token
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)
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workflow_descriptions = (
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workflow_descriptions
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or get_workflow_description_fallback(pull_request, token)
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)
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urls_to_cancel = []
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for workflow_description in workflow_descriptions:
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if (
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workflow_description.status != "completed"
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and workflow_description.conclusion != "cancelled"
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):
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urls_to_cancel.append(workflow_description.cancel_url)
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print(f"Found {len(urls_to_cancel)} workflows to cancel")
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exec_workflow_url(urls_to_cancel, token)
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return
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if label == "can be tested":
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print("PR marked with can be tested label, rerun workflow")
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workflow_descriptions = get_workflows_description_for_pull_request(
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pull_request, token
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)
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workflow_descriptions = (
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workflow_descriptions
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or get_workflow_description_fallback(pull_request, token)
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)
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if not workflow_descriptions:
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print("Not found any workflows")
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return
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workflow_descriptions.sort(key=lambda x: x.run_id) # type: ignore
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most_recent_workflow = workflow_descriptions[-1]
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print("Latest workflow", most_recent_workflow)
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if (
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most_recent_workflow.status != "completed"
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and most_recent_workflow.conclusion != "cancelled"
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):
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print("Latest workflow is not completed, cancelling")
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exec_workflow_url([most_recent_workflow.cancel_url], token)
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print("Cancelled")
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for _ in range(45):
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# If the number of retries is changed: tune the lambda limits accordingly
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latest_workflow_desc = get_workflow_description(
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most_recent_workflow.url, token
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)
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print("Checking latest workflow", latest_workflow_desc)
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if latest_workflow_desc.status in ("completed", "cancelled"):
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print("Finally latest workflow done, going to rerun")
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exec_workflow_url([most_recent_workflow.rerun_url], token)
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print("Rerun finished, exiting")
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break
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print("Still have strange status")
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time.sleep(3)
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return
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if action == "edited":
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print("PR is edited, check if the body is correct")
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error, _ = check_pr_description(
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pull_request["body"], pull_request["base"]["repo"]["full_name"]
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)
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if error:
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print(
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f"The PR's body is wrong, is going to comment it. The error is: {error}"
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)
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post_json = {
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"body": "This is an automatic comment. The PR descriptions does not "
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f"match the [template]({pull_request['base']['repo']['html_url']}/"
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"blob/master/.github/PULL_REQUEST_TEMPLATE.md?plain=1).\n\n"
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f"Please, edit it accordingly.\n\nThe error is: {error}"
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}
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_exec_post_with_retry(pull_request["comments_url"], token, json=post_json)
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return
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if action == "synchronize":
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print("PR is synchronized, going to stop old actions")
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workflow_descriptions = get_workflows_description_for_pull_request(
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pull_request, token
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)
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workflow_descriptions = (
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workflow_descriptions
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or get_workflow_description_fallback(pull_request, token)
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)
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urls_to_cancel = []
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for workflow_description in workflow_descriptions:
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if (
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workflow_description.status != "completed"
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and workflow_description.conclusion != "cancelled"
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and workflow_description.head_sha != pull_request["head"]["sha"]
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):
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urls_to_cancel.append(workflow_description.cancel_url)
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print(f"Found {len(urls_to_cancel)} workflows to cancel")
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exec_workflow_url(urls_to_cancel, token)
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return
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print("Nothing to do")
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def handler(event, _):
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try:
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main(event)
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return {
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"statusCode": 200,
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"headers": {"Content-Type": "application/json"},
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"body": '{"status": "OK"}',
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}
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finally:
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for name, value in DEBUG_INFO.items():
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print(f"Value of {name}: ", value)
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