# 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.

#
# This file defines an Azure Pipeline build for testing Flink. It is intended to be used
# with a free Azure Pipelines account.
# It has the following features:
#  - default builds for pushes / pull requests
#  - end-to-end tests
#
#
# For the "apache/flink" repository, we are using the pipeline definition located in
#   tools/azure-pipelines/build-apache-repo.yml
# That file points to custom, self-hosted build agents for faster pull request build processing and 
# integration with Flinkbot.
# The custom pipeline definition file is configured in the "Pipeline settings" screen
# of the Azure Pipelines web ui.
#

trigger:
  branches:
    include:
    - '*'  # must quote since "*" is a YAML reserved character; we want a string

resources:
  containers:
  # Container with Maven 3.2.5, SSL to have the same environment everywhere.
  # see https://github.com/flink-ci/flink-ci-docker
  - container: flink-build-container
    image: chesnay/flink-ci:java_8_11_17
    # On AZP provided machines, set this flag to allow writing coredumps in docker
    options: --privileged

# Define variables:
# - See tools/azure-pipelines/jobs-template.yml for a short summary of the caching
# - See https://stackoverflow.com/questions/60742105/how-can-i-access-a-secret-value-from-an-azure-pipelines-expression
#   to understand why the secrets are handled like this
variables:
  MAVEN_CACHE_FOLDER: $(Pipeline.Workspace)/.m2/repository
  E2E_CACHE_FOLDER: $(Pipeline.Workspace)/e2e_cache
  E2E_TARBALL_CACHE: $(Pipeline.Workspace)/e2e_artifact_cache
  MAVEN_ARGS: '-Dmaven.repo.local=$(MAVEN_CACHE_FOLDER)'
  CACHE_KEY: maven | $(Agent.OS) | **/pom.xml, !**/target/**
  CACHE_FALLBACK_KEY: maven | $(Agent.OS)
  DOCKER_IMAGES_CACHE_KEY: docker-images-cache | $(Agent.OS) | **/cache_docker_images.sh | flink-test-utils-parent/**/DockerImageVersions.java
  DOCKER_IMAGES_CACHE_FOLDER: $(Pipeline.Workspace)/.docker-cache
  FLINK_ARTIFACT_DIR: $(Pipeline.Workspace)/flink_artifact
  SECRET_S3_BUCKET: $[variables.IT_CASE_S3_BUCKET]
  SECRET_S3_ACCESS_KEY: $[variables.IT_CASE_S3_ACCESS_KEY]
  SECRET_S3_SECRET_KEY: $[variables.IT_CASE_S3_SECRET_KEY]


stages:
  # CI / PR triggered stage:
  - stage: ci
    displayName: "CI build (custom builders)"
    condition: not(eq(variables['MODE'], 'release'))
    jobs:
      - template: tools/azure-pipelines/jobs-template.yml
        parameters: # see template file for a definition of the parameters.
          stage_name: ci_build
          test_pool_definition:
            vmImage: 'ubuntu-20.04'
          e2e_pool_definition:
            vmImage: 'ubuntu-20.04'
          environment: PROFILE="-Dflink.hadoop.version=2.10.2 -Dscala-2.12"
          run_end_to_end: false
          container: flink-build-container
          jdk: 8
      - job: docs_404_check # run on a MSFT provided machine
        pool:
          vmImage: 'ubuntu-20.04'
        steps:
          - task: GoTool@0
            inputs:
              version: '1.18.1'
          - script: ./tools/ci/docs.sh
  # CI / Special stage for release, e.g. building PyFlink wheel packages, etc:
  - stage: ci_release
    displayName: "CI build (release)"
    condition: and(eq(variables['Build.Reason'], 'Manual'), eq(variables['MODE'], 'release'))
    jobs:
      - template: tools/azure-pipelines/build-python-wheels.yml
        parameters:
          stage_name: cron_python_wheels
          environment: PROFILE="-Dflink.hadoop.version=2.10.2 -Dscala-2.12"
          container: flink-build-container