contents: read

jobs:
  build:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then

      # Notify homer
      - postbuildscript:
          builders:
            - role: SLAVE
              build-on:
                - SUCCESS
                - FAILURE
                - UNSTABLE
              build-steps:
                - http-request:
                    url: https://homer.app.elstc.co/webhook/jenkins/build-finished
                    mode: GET
                    custom-headers:

        applyPerformanceTestSettings()
        setArtifactRules(INDIVIDUAL_PERFORAMCE_TEST_ARTIFACT_RULES)

        steps {
            killProcessStep(buildTypeThis, KILL_ALL_GRADLE_PROCESSES, os)
            adHocPerformanceTest(
                listOf(

        Providing context helps us come up with a solution that is most useful in the real world
    validations:
      required: false
  - type: textarea
    id: steps-to-reproduce
    attributes:
      label: Self-contained Reproducer Project
      description: |

### Multi destination replication

Replication from a source bucket to multiple destination buckets is supported. For each of the targets, repeat the steps to configure a remote target ARN and add replication rules to the source bucket's replication config.

                subst p: "%teamcity.build.checkoutDir%"
                """.trimIndent()
            skipConditionally()
        }
    }
}

fun BuildType.cleanUpGitUntrackedFilesAndDirectories() {
    steps {
        script {
            name = "CLEAN_UP_GIT_UNTRACKED_FILES_AND_DIRECTORIES"
            executionMode = BuildStep.ExecutionMode.RUN_ONLY_ON_FAILURE

Let's check back those deployment concepts from before:

* Security - HTTPS
* Running on startup
* Restarts
* **Replication (the number of processes running)**
* Memory
* Previous steps before starting

Up to this point, with all the tutorials in the docs, you have probably been running a **server program**, for example, using the `fastapi` command, that runs Uvicorn, running a **single process**.

FastAPI supports dependencies that do some <abbr title='sometimes also called "exit code", "cleanup code", "teardown code", "closing code", "context manager exit code", etc.'>extra steps after finishing</abbr>.

To do this, use `yield` instead of `return`, and write the extra steps (code) after.

/// tip

Make sure to use `yield` one single time per dependency.

///

/// note | Technical Details

Any function that is valid to use with:

    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      fail-fast: false
      matrix:
        pyver: ['3.9', '3.10', '3.11', '3.12']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then

Обычно это называется вебхуком.

## Шаги вебхуков { #webhooks-steps }

Обычно процесс таков: вы определяете в своем коде, какое сообщение вы будете отправлять, то есть тело запроса.

Вы также определяете, в какие моменты (при каких событиях) ваше приложение будет отправлять эти запросы.