AWS devicefarm

Introduction
- Examples
  - Example with remote sources and artifact pulling
  - Example with remote sources, inline test specification and artifact pulling
Available actions
- API wrappers
- Complex actions
Setting up AWS
- Create a test project
Development
- Local testing

Introduction

This repository provides actions to interact with AWS devicefarms, implemented using the AWS JavaScript SDK. AWS credentials need to be configured using the configure AWS credentials action.

Due to the nature of the application this was developed for the following restrictions apply for now:

The application contains the test definitions in the application binary. As AWS always expects a separate test definition a dummy test definition is provided in sample-venv/tests. Applications wanting to use the AWS testdefinitions should still work without problem, as long as the correct files are uploaded / correct ARNs specified. This has not been tested, though.
Test results are evaluated on Github side based on files pulled from the device. Support for tests/suites an AWS is not implemented. Adding support for those APIs should be trivial, if needed. Patches are welcome.

Sample test data and applications simulating this case are provided in a separate repository.

Two types of actions are provided: Simple API wrappers - useful for debugging, testing or building workflows otherwise not properly supported - and complex actions, wrapping several API calls. Typically complex actions should be used, whenever possible.

Examples

After adding secrets for AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEVICE_POOL_ARN and AWS_PROJECT_ARN (see AWS setup section below if no devicefarm is configured) the following workflow will create a test run with a mix of downloaded and local data, and wait for it to execute. You may want to adjust app_file, test_spec_file and test_package_file before running it - as shown it will pull demo data for the run:

Example with remote sources and artifact pulling

on:
  push:
    branches: [ master ]
  pull_request:
    branches: [ master ]

name: Test application on device farm

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest
    environment: production

    steps:
    - name: Checkout
      uses: actions/checkout@v2

    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v1
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: us-west-2

    - name: Schedule test run with mixed data
      uses: aardsoft/aws-devicefarm/test-application@master
      with:
        name: schedule-run
        file_artifacts: |
          Test spec file.yml
          Customer Artifacts.zip
        project_arn: ${{ secrets.AWS_PROJECT_ARN }}
        device_pool_arn: ${{ secrets.AWS_DEVICE_POOL_ARN }}
        app_file: https://github.com/aardsoft/aws-devicefarm-sample-data/releases/download/0.3/fi.aardsoft.devicefarmsample-debug.apk
        app_type: ANDROID_APP
        test_type: APPIUM_PYTHON
        test_package_file: https://github.com/aardsoft/aws-devicefarm-sample-data/releases/download/0.3/sample_env_python3.zip
        test_package_type: APPIUM_PYTHON_TEST_PACKAGE
        test_spec_file: https://github.com/aardsoft/aws-devicefarm-sample-data/releases/download/0.3/test_spec.yaml
        test_spec_type: APPIUM_PYTHON_TEST_SPEC
        remote_src: true

Example with remote sources, inline test specification and artifact pulling

It is also possible to have the test specification inline:

on:
  push:
    branches: [ master ]
  pull_request:
    branches: [ master ]

name: Test application on device farm

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest
    environment: production

    steps:
    - name: Checkout
      uses: actions/checkout@v2

    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v1
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: us-west-2

    - name: Schedule test run with mixed data
      uses: aardsoft/aws-devicefarm/test-application@master
      with:
        name: schedule-run-inline
        file_artifacts: |
          Test spec file.yml
          Customer Artifacts.zip
        project_arn: ${{ secrets.AWS_PROJECT_ARN }}
        device_pool_arn: ${{ secrets.AWS_DEVICE_POOL_ARN }}
        app_file: https://github.com/aardsoft/aws-devicefarm-sample-data/releases/download/0.3/fi.aardsoft.devicefarmsample-debug.apk
        app_type: ANDROID_APP
        test_type: APPIUM_PYTHON
        test_package_file: https://github.com/aardsoft/aws-devicefarm-sample-data/releases/download/0.3/sample_env_python3.zip
        test_package_type: APPIUM_PYTHON_TEST_PACKAGE
        test_spec_file: test_spec.yaml
        test_spec_type: APPIUM_PYTHON_TEST_SPEC
        test_spec: |
          version: 0.1
          phases:
            install:
              commands:
                - export PYTHON_VERSION=3

            pre_test:
              commands:
                - adb -s $DEVICEFARM_DEVICE_UDID shell pm grant fi.aardsoft.devicefarmsample android.permission.READ_EXTERNAL_STORAGE
                - adb -s $DEVICEFARM_DEVICE_UDID shell pm grant fi.aardsoft.devicefarmsample android.permission.WRITE_EXTERNAL_STORAGE

            test:
              commands:
                - adb -s $DEVICEFARM_DEVICE_UDID shell am instrument -w -r -e foo bar -e bar baz fi.aardsoft.devicefarmsample

            post_test:
              commands:
                - adb -s $DEVICEFARM_DEVICE_UDID pull /storage/emulated/0/Android/data/fi.aardsoft.devicefarmsample/files/output.txt
                - mv output.txt $DEVICEFARM_LOG_DIR/test-output.txt

          artifacts:
            - $DEVICEFARM_LOG_DIR
        remote_src: true

Available actions

API wrappers

The following actions are just wrappers around the JavaScript SDK. In addition to the JSON returned by the API they also return the JSON fields most likely to be useful for later calls - saving some JSON parsing compared to building actions on top of the AWS CLI. For each action documentation links to both the API and the matching call in AWS CLI are provided - with the latter typically being the more useful when building a workflow on top of those actions without trying to touch the JavaScript.

create-upload

Create an upload for a file named name, of type type, in the project specified by project_arn. Note that a file needs to be uploaded to the URL from the result in a second step - for an action handling the upload as well check upload-file.

inputs

project_arn (string): the ARN of an existing device farm project.
type (string): the type of the file to upload. See the CLI documentation for available values.
name (string): name of the file to upload. This is not a local file, but a file name (without path) on AWS.
cleanup (bool, optional, default: true): delete uploads in the cleanup handler. Set this to false to keep uploads.

outputs

data (JSON): raw result returned by the API.
arn (string): the ARN of the newly created upload.
url (string): the pre-signed URL for PUTing the file contents to.
status (string): the status of the upload. Starts with INITIALIZED, and should change to SUCCEEDED after uploading the file. Check with get-upload.

documentation

usage example

- name: Create upload
  uses: aardsoft/aws-devicefarm/create-upload@v1
  id: create-upload
  with:
    project_arn: arn:aws:devicefarm:us-west-2:123456789101:project:EXAMPLE-GUID-123-456
    name: test.yaml
    type: APPIUM_PYTHON_TEST_SPEC

A step similar to the following could be used to upload the actual file:

- name: Upload file
  run: |
    curl -T /path/to/local/file '${{ steps.create-upload.outputs.url }}'

The status of the upload should be checked afterwards with get-upload, possibly in a loop until the status changes.

delete-upload

Deletes a resource uploaded to a devicefarm project, specified by resource_arn.

inputs

resource_arn (string): the ARN of the resource to delete.

outputs

This method does not return data, and completes successfully even if the resource requested for deletion does not exist.

documentation

usage example

- name: Delete upload
  uses: aardsoft/aws-devicefarm/delete-upload@v1
  id: delete-upload
  with:
    resource_arn: arn:aws:devicefarm:us-west-2:123456789101:project:EXAMPLE-GUID-123-456

get-device-pool

Get information about a specific device pool.

inputs

device_pool_arn (string): the ARN of the device pool.

outputs

data (JSON): raw result returned by the API.
name (string): the pool name.
description (string): the pool description.
type (string): the pool type, CURATED or PRIVATE

documentation

usage example

- name: Get device pool details
  uses: aardsoft/aws-devicefarm/get-device-pool@v1
  with:
    device_pool_arn: arn:aws:devicefarm:us-west-2:123456789101:devicepool:EXAMPLE-GUID-123-456

get-project

Return details of the given project.

inputs

project_arn (string): the ARN of the device farm project.

outputs

data (JSON): raw result returned by the API.
name (string): the project name.
created (date): date the project was create.

documentation

usage example

- name: Get project
  uses: aardsoft/aws-devicefarm/get-project@v1
  id: get-project
  with:
    project_arn: ${{ secrets.AWS_PROJECT_ARN }}

get-run

Return details for a specific test run.

inputs

run_arn (string): the ARN of the run to request details for.

outputs

data (JSON): raw result returned by the API.
created (string): creation timestamp for the resource.
message (string): additional message about run results.
name (string): the name of the run.
parsing_result_url (string): the URL containing parsing errors, if any.
platform (string): hte platform the run was executed on.
result (string): result of the test run.
result_code (string): supporting field for result.
status (string): status of the test run.
type (string): the type of this upload.

documentation

usage example

Typically the ARN is obtained from an earlier step:

- name: Get run details
  uses: aardsoft/aws-devicefarm/get-run@v1
  with:
    run_arn: ${{ steps.schedule-run.outputs.arn }}

get-upload

Return details for the upload specified by resource_arn.

inputs

resource_arn (string): the ARN of the resource to request details for.

outputs

data (JSON): raw result returned by the API.
created (string): creation timestamp for the resource.
metadata (string): additional metadata extracted from an uploaded file.
type (string): the type of this upload.
status (string): the status of this upload.

documentation

usage example

- name: Get upload details
  uses: aardsoft/aws-devicefarm/get-upload@v1
  with:
    resource_arn: arn:aws:devicefarm:us-west-2:123456789101:upload:EXAMPLE-GUID-123-456

list-artifacts

List artifacts for a resource. Note that you can only list one artifact type at one time, and can’t query specific artifact names. To retrieve a specific artifact loop over the returned array, check for artifact names, and GET the included URL to retrieve the artifact.

inputs

resource_arn (string): the ARN of the resource to list artifacts for.
type (string): the type of artifacts to list. Valid options are FILE, LOG and SCREENSHOT.

outputs

data (JSON): raw result returned by the API.

documentation

usage example

- name: List file artifacts for run
  uses: aardsoft/aws-devicefarm/list-artifacts@v1
  with:
    resource_arn: ${{ steps.schedule-run.outputs.arn }}
    type: FILE

list-device-pools

Return a list of device pools configured for the specified project.

inputs

project_arn (string): the ARN of the device farm project.
type (string, optional): the type of the pool to list. Valid options are PRIVATE or CURATED, defaulting to PRIVATE.

outputs

data (JSON): raw result returned by the API.

documentation

usage example

- name: List device pools
  uses: aardsoft/aws-devicefarm/list-device-pools@v1
  id: list-device-pools
  with:
    project_arn: ${{ secrets.AWS_PROJECT_ARN }}

list-runs

List test runs in the specified device farm project.

inputs

project_arn (string): the ARN of the device farm project.

outputs

data (JSON): raw result returned by the API.

documentation

usage example

- name: List runs
  uses: aardsoft/aws-devicefarm/list-runs@v1
  with:
    project_arn: ${{ secrets.AWS_PROJECT_ARN }}

list-uploads

Return all uploads in the project specified by project_arn as a JSON string.

inputs

project_arn (string): the ARN of the device farm project.

outputs

data (JSON): raw result returned by the API.

documentation

usage example

- name: List uploads
  uses: aardsoft/aws-devicefarm/list-uploads@v1
  id: list-uploads
  with:
    project_arn: arn:aws:devicefarm:us-west-2:123456789101:project:EXAMPLE-GUID-123-456

The output can be referenced in following actions using the step ID:

with:
  input: ${{ steps.list-uploads.outputs.data }}

schedule-run

Schedule a test run with resources uploaded to AWS already. This action returns directly after scheduling a run - this behaviour is useful to avoid blocking a workflow if other steps can still be executed, but requires later checking with get-run if the run has finished. For an action capable of uploading required files as well as blocking until a test run has finished see test-application.

When called without a test specification the run will be triggered with the default test environment of the specified test type.

inputs

name (string, optional): a name used for the test run.
project_arn (string): the ARN of the device farm project.
device_pool_arn (string): the ARN of the device pool.
app_arn (string): the ARN of the uploaded app.
test_type (string): the type of the test to execute.
test_package_arn (string): the ARN of the uploaded test package.
test_spec_arn (string): the ARN of the uploaded test specification.

outputs

data (JSON): raw result returned by the API.
arn (string): the ARN of the scheduled test run.
parsing_result_url (string): the URL containing parsing errors, if any. Note that this call may return before the API reports parse errors.
status (string): status of the test run. Typically it can be expected to get SCHEDULING here.
result_code (string): result of the test run. For this call this will typically be empty.

documentation

usage example

This example references ARNs obtained from previous upload steps:

- name: Schedule a test run
  uses: aardsoft/aws-devicefarm/schedule-run@v1
  with:
    name: schedule_run
    project_arn: ${{ secrets.AWS_PROJECT_ARN }}
    device_pool_arn: ${{ secrets.AWS_DEVICE_POOL_ARN }}
    app_arn: ${{ steps.test-app.outputs.arn }}
    test_type: APPIUM_PYTHON
    test_package_arn: ${{ steps.test-bundle.outputs.arn }}
    test_spec_arn: ${{ steps.test-spec.outputs.arn }}

Complex actions

download-artifacts

This action downloads one or more artifacts from a test run. Trying to download a non-existent artifact will log a warning and omit the file frem the output, but not abort.

inputs

run_arn (string): the ARN of the test run
file_artifacts (multiline string, optional): file names - including extension - of type FILE to pull.
log_artifacts (multiline string, optional): file names - including extension - of type LOG to pull.
screenshot_artifacts (multiline string, optional): file names - including extension - of type SCREENSHOT to pull.

outputs

data (JSON): an array containing the downloaded files for each of the three available categories.

usage example

This assumes the run with id schedule-run created customer artifacts:

- name: Download artifacts
  uses: aardsoft/aws-devicefarm/download-artifacts@v1
  with:
    run_arn: ${{ steps.schedule-run.outputs.arn }}
    file_artifacts: |
      Test spec file.yml
      Invalid Artifact Logging Warning.txt
      Customer Artifacts.zip

The returned JSON looks like this - note the missing invalid file:

{
    "FILE": [
        "Test spec file.yml",
        "Customer Artifacts.zip"
    ],
    "SCREENSHOT": [
    ],
    "LOG": [
    ]
}

upload-file

This action creates a file upload and then uploads a file.

inputs

project_arn (string): the ARN of the device farm project.
type (string): the type of the file to upload.
name (string, optional): the name of the file to create on AWS. The name of the actual file if missing.
file (string): the full path to the file to upload to AWS.
cleanup (bool, optional, default: true): delete uploads in the cleanup handler. Set this to false to keep uploads.
remote_src (bool, optional, default: true): try to retrieve files via http if not available locally. A file is only downloaded if it doesn’t exist yet.

outputs

data (JSON): raw result returned by the API.
arn (string): the ARN of the newly created upload.
url (string): the pre-signed URL for PUTing the file contents to.
status (string): the status of the upload. Should be SUCCEEDED after passing validation for the specific file type at AWS.

usage example

- name: Upload remote test bundle
  uses: aardsoft/aws-devicefarm/upload-file@v1
  id: test-bundle
  with:
    project_arn: ${{ secrets.AWS_PROJECT_ARN }}
    file: https://github.com/aardsoft/aws-devicefarm-sample-data/releases/download/0.3/test_spec.yaml
    remote_src: true
    type: APPIUM_PYTHON_TEST_PACKAGE

test-application

This action schedules a test run and waits for the result. It can either use already uploaded files, or upload local or remote files.

When called without a test specification the run will be triggered with the default test environment of the specified test type.

inputs

name (string, optional): a name used for the test run.
project_arn (string): the ARN of the device farm project.
device_pool_arn (string): the ARN of the device pool.
app_arn (string): the ARN of the uploaded app.
app_file (string): the path to an app file. Use either app_arn or app_file.
app_type (string): type of the application file. For Android apps use ANDROID_APP.
test_type (string): the type of the test to execute.
test_package_arn (string): the ARN of the uploaded test package.
test_package_file (string): the path to a test package archive. Use either test_package_arn or test_package_file.
test_package_type (string): the type of the test package. For appium/python use APPIUM_PYTHON_TEST_PACKAGE
test_spec (multiline string): inline YAML for the test specification. See the example at the top.
test_spec_arn (string): the ARN of the uploaded test specification.
test_spec_file (string): the path to a test spec file. Use either test_spec_arn or test_spec_file
test_spec_type (string): the type of the test specification. For appium/python use APPIUM_PYTHON_TEST_SPEC
file_artifacts (multiline string, optional): file names - including extension - of type FILE to pull.
log_artifacts (multiline string, optional): file names - including extension - of type LOG to pull.
screenshot_artifacts (multiline string, optional): file names - including extension - of type SCREENSHOT to pull.
cleanup (bool, optional, default: true): delete uploads in the cleanup handler. Set this to false to keep uploads.

outputs

data (JSON): raw result returned by the API. The additional field downloaded_artifacts contains successfully pulled artifacts.
arn (string): the ARN of the scheduled test run.
parsingResultUrl (string): the URL containing parsing errors, if any. Note that this call may return before the API reports parse errors.
status (string): status of the test run. Typically it can be expected to get SCHEDULING here.
resultCode (string): result of the test run. For this call this will typically be empty.

usage example

This example pulls remote sources, and uploads them to a device farm before scheduling a run:

- name: Schedule test run
  uses: aardsoft/aws-devicefarm/test-application@v1
  with:
    name: run_with_uploads
    project_arn: ${{ secrets.AWS_PROJECT_ARN }}
    device_pool_arn: ${{ secrets.AWS_DEVICE_POOL_ARN }}
    app_file: https://github.com/aardsoft/aws-devicefarm-sample-data/releases/download/0.3/fi.aardsoft.devicefarmsample-debug.apk
    app_type: ANDROID_APP
    test_type: APPIUM_PYTHON
    test_package_file: https://github.com/aardsoft/aws-devicefarm-sample-data/releases/download/0.3/sample_env_python3.zip
    test_package_type: APPIUM_PYTHON_TEST_PACKAGE
    test_spec_file: https://github.com/aardsoft/aws-devicefarm-sample-data/releases/download/0.3/test_spec.yaml
    test_spec_type: APPIUM_PYTHON_TEST_SPEC
    remote_src: true

Setting up AWS

Create a test project

In the Device Farm console create a new project, and copy the displayed ARN - this is the project ARN required by some actions. Next go to Project settings, Device pools and create a new pool. Retrieve the pool ARN using the list-device-pools CLI command, or using the list-device-pools action if AWS CLI is not set up.

Secrets named AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEVICE_POOL_ARN and AWS_PROJECT_ARN or similar need to be set using the ARNs just created and account secrets.

It is recommended to use a dedicated role user for devicefarm access. the AWS role to limit access to devicefarm only is AWSDeviceFarmFullAccess.

Development

Local testing

Local testing is possible to some extend using act. All secrets should be exported as environment variable, otherwise act will prompt for it:

$ act -s AWS_ACCESS_KEY_ID -s AWS_SECRET_ACCESS_KEY -s AWS_DEVICE_POOL_ARN -s AWS_PROJECT_ARN

isabella232 / aws-devicefarm Goto Github PK

aws-devicefarm's Introduction

AWS devicefarm

Introduction

Examples

Example with remote sources and artifact pulling

Example with remote sources, inline test specification and artifact pulling

Available actions

API wrappers

create-upload

inputs

outputs

documentation

usage example

delete-upload

inputs

outputs

documentation

usage example

get-device-pool

inputs

outputs

documentation

usage example

get-project

inputs

outputs

documentation

usage example

get-run

inputs

outputs

documentation

usage example

get-upload

inputs

outputs

documentation

usage example

list-artifacts

inputs

outputs

documentation

usage example

list-device-pools

inputs

outputs

documentation

usage example

list-runs

inputs

outputs

documentation

usage example

list-uploads

inputs

outputs

documentation

usage example

schedule-run

inputs

outputs

documentation

usage example

Complex actions

download-artifacts

inputs

outputs

usage example

upload-file

inputs

outputs

usage example

test-application

inputs

outputs

usage example

Setting up AWS

Create a test project

Development