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.test-infra/jenkins/job_CloudMLBenchmarkTests_Python.groovy
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| import CommonJobProperties as commonJobProperties | ||
| import PhraseTriggeringPostCommitBuilder | ||
| import CronJobBuilder | ||
|
|
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| def cloudMLJob = { scope -> | ||
| scope.description('Runs the TFT Criteo Examples on the Dataflow runner.') | ||
|
|
||
| // Set common parameters. | ||
| commonJobProperties.setTopLevelMainJobProperties(scope, 'master', 360) | ||
|
|
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| // Gradle goals for this job. | ||
| scope.steps { | ||
| gradle { | ||
| rootBuildScriptDir(commonJobProperties.checkoutDir) | ||
| commonJobProperties.setGradleSwitches(delegate) | ||
| tasks(':sdks:python:test-suites:dataflow:tftTests') | ||
| } | ||
| } | ||
| } | ||
|
|
||
| PhraseTriggeringPostCommitBuilder.postCommitJob( | ||
| 'beam_CloudML_Benchmarks_Dataflow', | ||
| 'Run TFT Criteo Benchmarks', | ||
| 'TFT Criteo benchmarks on Dataflow(\"Run TFT Criteo Benchmarks"\"")', | ||
| this | ||
| ) { | ||
| cloudMLJob(delegate) | ||
| } | ||
|
|
||
| CronJobBuilder.cronJob( | ||
| 'beam_CloudML_Benchmarks_Dataflow', | ||
| 'H 14 * * *', | ||
| this | ||
| ) { | ||
| cloudMLJob(delegate) | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,187 @@ | ||
| # | ||
| # Licensed to the Apache Software Foundation (ASF) under one or more | ||
| # contributor license agreements. See the NOTICE file distributed with | ||
| # this work for additional information regarding copyright ownership. | ||
| # The ASF licenses this file to You under the Apache License, Version 2.0 | ||
| # (the "License"); you may not use this file except in compliance with | ||
| # the License. You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| ''' | ||
| This module queries GitHub to collect Beam-related workflows metrics and put them in | ||
| PostgreSQL. | ||
| This Script is running every 3 hours in a cloud function in apache-beam-testing project. | ||
| This cloud function is triggered by a pubsub topic. | ||
| You can find the cloud function in the next link | ||
| https://console.cloud.google.com/functions/details/us-central1/github_actions_workflows_dashboard_sync?env=gen1&project=apache-beam-testing | ||
| Pub sub topic : https://console.cloud.google.com/cloudpubsub/topic/detail/github_actions_workflows_sync?project=apache-beam-testing | ||
| Cron Job : https://console.cloud.google.com/cloudscheduler/jobs/edit/us-central1/github_actions_workflows_dashboard_sync?project=apache-beam-testing | ||
| Writing the latest 10 runs of every postcommit workflow in master branch in a beammetrics database | ||
| ''' | ||
|
|
||
| import os | ||
| import sys | ||
| import time | ||
| import re | ||
| import requests | ||
| import psycopg2 | ||
|
|
||
| from datetime import datetime | ||
| from github import GithubIntegration | ||
|
|
||
| DB_HOST = os.environ['DB_HOST'] | ||
| DB_PORT = os.environ['DB_PORT'] | ||
| DB_NAME = os.environ['DB_NAME'] | ||
| DB_USER_NAME = os.environ['DB_USER'] | ||
| DB_PASSWORD = os.environ['DB_PASS'] | ||
| GH_WORKFLOWS_TABLE_NAME = "github_workflows" | ||
| # Number of workflows that fetch github API | ||
| GH_NUMBER_OF_WORKFLOWS = 100 | ||
| GH_WORKFLOWS_NUMBER_EXECUTIONS = 100 | ||
| WORKFLOWS_OBJECT_LIST = [] | ||
|
|
||
|
|
||
| class Workflow: | ||
| def __init__(self,id,name,filename): | ||
| self.id = id | ||
| self.name = name | ||
| self.filename = filename | ||
| self.listOfRuns = [] | ||
| self.runUrl = [] | ||
|
|
||
| # The table will save the latest ten run of every workflow | ||
| GH_WORKFLOWS_CREATE_TABLE_QUERY = f""" | ||
| CREATE TABLE IF NOT EXISTS {GH_WORKFLOWS_TABLE_NAME} ( | ||
| job_name text PRIMARY KEY, | ||
| job_yml_filename text""" | ||
| for i in range(0,GH_WORKFLOWS_NUMBER_EXECUTIONS): | ||
| i = i + 1 | ||
| GH_WORKFLOWS_CREATE_TABLE_QUERY += """,\n run{} text, | ||
| run{}Id text""".format(str(i),str(i)) | ||
| GH_WORKFLOWS_CREATE_TABLE_QUERY += ")\n" | ||
|
|
||
| def githubWorkflowsGrafanaSync(data,context): | ||
| print('Started') | ||
| print('Updating table with recent workflow runs') | ||
| databaseOperations(initDbConnection(),fetchWorkflowData()) | ||
| print('Done') | ||
| return "Completed" | ||
|
|
||
| def initDbConnection(): | ||
| '''Init connection with the Database''' | ||
| connection = None | ||
| maxRetries = 3 | ||
| i = 0 | ||
| while connection == None and i < maxRetries: | ||
| try: | ||
| connection = psycopg2.connect( | ||
| f"dbname='{DB_NAME}' user='{DB_USER_NAME}' host='{DB_HOST}'" | ||
| f" port='{DB_PORT}' password='{DB_PASSWORD}'") | ||
| except Exception as e: | ||
| print('Failed to connect to DB; retrying in 1 minute') | ||
| print(e) | ||
| time.sleep(60) | ||
| i = i + 1 | ||
| if i >= maxRetries: | ||
| print("Number of retries exceded ") | ||
| sys.exit(1) | ||
| return connection | ||
|
|
||
| def getToken(): | ||
| git_integration = GithubIntegration( | ||
| os.environ["GH_APP_ID"], | ||
| os.environ["GH_PEM_KEY"]) | ||
| token=git_integration.get_access_token( | ||
| os.environ["GH_APP_INSTALLATION_ID"] | ||
| ).token | ||
| return token | ||
|
|
||
| def retriesRequest(request): | ||
| requestSucceeded = False | ||
| retryFactor = 1 | ||
| while not requestSucceeded: | ||
| retryTime = 60 * retryFactor | ||
| if request.status_code != 200: | ||
| print('Failed to get the request with code {}'.format(request.status_code)) | ||
| time.sleep(retryTime) | ||
| retryFactor = retryFactor + retryFactor | ||
| if retryFactor * 60 >= 3600: | ||
| print("Error: The request take more than an hour") | ||
| sys.exit(1) | ||
| else: | ||
| requestSucceeded = True | ||
| def fetchWorkflowData(): | ||
| '''Return a json with all the workflows and the latests | ||
| ten executions''' | ||
| completed = False | ||
| page = 1 | ||
| workflows = [] | ||
| try: | ||
| while not completed: | ||
| url = "https://api.github.com/repos/apache/beam/actions/workflows" | ||
| queryOptions = { 'branch' : 'master', 'page': page, 'per_page' : GH_NUMBER_OF_WORKFLOWS } | ||
| response = requests.get(url = url, params = queryOptions) | ||
| retriesRequest(response) | ||
| jsonResponse = response.json() | ||
| if jsonResponse['total_count'] >= GH_NUMBER_OF_WORKFLOWS: | ||
| page = page + 1 | ||
| workflowsPage = jsonResponse['workflows'] | ||
| workflows.append(workflowsPage) | ||
| else: | ||
| completed = True | ||
| workflowsPage = jsonResponse['workflows'] | ||
| workflows.append(workflowsPage) | ||
| for pageItem in workflows: | ||
| for item in pageItem: | ||
| path =item['path'] | ||
| isPostCommit = re.search('(.*)postcommit(.*)',path) | ||
| if isPostCommit: | ||
| result = re.search('/(.*).yml', path) | ||
| path =(result.group(1)) + ".yml" | ||
| workflowObject = Workflow(item['id'],item['name'],path) | ||
| WORKFLOWS_OBJECT_LIST.append(workflowObject) | ||
| url = "https://api.github.com/repos/apache/beam/actions/workflows/" | ||
| queryOptions = { 'branch' : 'master', 'per_page' : GH_WORKFLOWS_NUMBER_EXECUTIONS, | ||
| 'page' :'1', 'exclude_pull_request':True } | ||
| for workflow in WORKFLOWS_OBJECT_LIST: | ||
| response = requests.get(url = "{}{}/runs".format(url,workflow.id), | ||
| params=queryOptions) | ||
| retriesRequest(response) | ||
| responseJson = response.json() | ||
| workflowsRuns = responseJson['workflow_runs'] | ||
| for item in workflowsRuns: | ||
| if item['status'] == 'completed': | ||
| workflow.runUrl.append(item['html_url']) | ||
| workflow.listOfRuns.append(item['conclusion']) | ||
| else: | ||
| workflow.listOfRuns.append(item['status']) | ||
| workflow.runUrl.append(item['html_url']) | ||
| for i in range(0,GH_WORKFLOWS_NUMBER_EXECUTIONS): | ||
| if i >= len(workflow.listOfRuns): | ||
| workflow.listOfRuns.append('None') | ||
| workflow.runUrl.append('None') | ||
| except Exception as e: | ||
| print('Failed to get GHA workflows') | ||
| print(e) | ||
|
|
||
| def databaseOperations(connection,fetchWorkflows): | ||
| '''Create the table if not exist and update the table with the latest runs | ||
| of the workflows ''' | ||
| queryInsert = "INSERT INTO {} VALUES ".format(GH_WORKFLOWS_TABLE_NAME) | ||
| cursor = connection.cursor() | ||
| cursor.execute(GH_WORKFLOWS_CREATE_TABLE_QUERY) | ||
| cursor.execute("DELETE FROM {};".format(GH_WORKFLOWS_TABLE_NAME)) | ||
| query = "" | ||
| for workflow in WORKFLOWS_OBJECT_LIST: | ||
| rowInsert = "(\'{}\',\'{}\'".format(workflow.name,workflow.filename) | ||
| for run, runUrl in zip(workflow.listOfRuns,workflow.runUrl): | ||
| rowInsert += ",\'{}\',\'{}\'".format(run,runUrl) | ||
| query = query + rowInsert | ||
| query += ")," | ||
| query = query[:-1] + ";" | ||
| query = queryInsert + query | ||
| cursor.execute(query) | ||
| cursor.close() | ||
| connection.commit() | ||
| connection.close() |
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