Files
Auto-GPT/.github/workflows/autogpt-docker-ci.yml
Reinier van der Leer 1f40d72081 feat(agent/workspace): Add GCS and S3 FileWorkspace providers (#6485)
* refactor: Rename FileWorkspace to LocalFileWorkspace and create FileWorkspace abstract class
  - Rename `FileWorkspace` to `LocalFileWorkspace` to provide a more descriptive name for the class that represents a file workspace that works with local files.
  - Create a new base class `FileWorkspace` to serve as the parent class for `LocalFileWorkspace`. This allows for easier extension and customization of file workspaces in the future.
  - Update import statements and references to `FileWorkspace` throughout the codebase to use the new naming conventions.

* feat: Add S3FileWorkspace + tests + test setups for CI and Docker
  - Added S3FileWorkspace class to provide an interface for interacting with a file workspace and storing files in an S3 bucket.
  - Updated pyproject.toml to include dependencies for boto3 and boto3-stubs.
  - Implemented unit tests for S3FileWorkspace.
  - Added MinIO service to Docker CI to allow testing S3 features in CI.
  - Added autogpt-test service config to docker-compose.yml for local testing with MinIO.

* ci(docker): tee test output instead of capturing

* fix: Improve error handling in S3FileWorkspace.initialize()
  - Do not tolerate all `botocore.exceptions.ClientError`s
  - Raise the exception anyways if the error is not "NoSuchBucket"

* feat: Add S3 workspace backend support and S3Credentials
  - Added support for S3 workspace backend in the Autogpt configuration
  - Added a new sub-config `S3Credentials` to store S3 credentials
  - Modified the `.env.template` file to include variables related to S3 credentials
  - Added a new `s3_credentials` attribute on the `Config` class to store S3 credentials
  - Moved the `unmasked` method from `ModelProviderCredentials` to the parent `ProviderCredentials` class to handle unmasking for S3 credentials

* fix(agent/tests): Fix S3FileWorkspace initialization in test_s3_file_workspace.py
  - Update the S3FileWorkspace initialization in the test_s3_file_workspace.py file to include the required S3 Credentials.

* refactor: Remove S3Credentials and add get_workspace function
  - Remove `S3Credentials` as boto3 will fetch the config from the environment by itself
  - Add `get_workspace` function in `autogpt.file_workspace` module
  - Update `.env.template` and tests to reflect the changes

* feat(agent/workspace): Make agent workspace backend configurable
  - Modified `autogpt.file_workspace.get_workspace` function to either take a workspace `id` or `root_path`.
  - Modified `FileWorkspaceMixin` to use the `get_workspace` function to set up the workspace.
  - Updated the type hints and imports accordingly.

* feat(agent/workspace): Add GCSFileWorkspace for Google Cloud Storage
  - Added support for Google Cloud Storage as a storage backend option in the workspace.
  - Created the `GCSFileWorkspace` class to interface with a file workspace stored in a Google Cloud Storage bucket.
  - Implemented the `GCSFileWorkspaceConfiguration` class to handle the configuration for Google Cloud Storage workspaces.
  - Updated the `get_workspace` function to include the option to use Google Cloud Storage as a workspace backend.
  - Added unit tests for the new `GCSFileWorkspace` class.

* fix: Unbreak use of non-local workspaces in AgentProtocolServer
  - Modify the `_get_task_agent_file_workspace` method to handle both local and non-local workspaces correctly
2023-12-07 14:46:08 +01:00

163 lines
5.2 KiB
YAML

name: AutoGPT Docker CI
on:
push:
branches: [ master, development ]
paths:
- '.github/workflows/autogpt-docker-ci.yml'
- 'autogpts/autogpt/**'
- '!autogpts/autogpt/tests/vcr_cassettes'
pull_request:
branches: [ master, development, release-* ]
paths:
- '.github/workflows/autogpt-docker-ci.yml'
- 'autogpts/autogpt/**'
- '!autogpts/autogpt/tests/vcr_cassettes'
concurrency:
group: ${{ format('autogpt-docker-ci-{0}', github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha) }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
defaults:
run:
working-directory: autogpts/autogpt
env:
IMAGE_NAME: auto-gpt
DEPLOY_IMAGE_NAME: ${{ secrets.DOCKER_USER }}/auto-gpt
DEV_IMAGE_TAG: latest-dev
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
build-type: [release, dev]
steps:
- name: Checkout repository
uses: actions/checkout@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- if: runner.debug
run: |
ls -al
du -hs *
- id: build
name: Build image
uses: docker/build-push-action@v3
with:
context: autogpts/autogpt
build-args: BUILD_TYPE=${{ matrix.build-type }}
tags: ${{ env.IMAGE_NAME }}
load: true # save to docker images
# cache layers in GitHub Actions cache to speed up builds
cache-from: type=gha,scope=autogpt-docker-${{ matrix.build-type }}
cache-to: type=gha,scope=autogpt-docker-${{ matrix.build-type }},mode=max
- name: Generate build report
env:
event_name: ${{ github.event_name }}
event_ref: ${{ github.event.ref }}
event_ref_type: ${{ github.event.ref}}
build_type: ${{ matrix.build-type }}
prod_branch: master
dev_branch: development
repository: ${{ github.repository }}
base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'development' && 'development' || 'master' }}
current_ref: ${{ github.ref_name }}
commit_hash: ${{ github.event.after }}
source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
push_forced_label: ${{ github.event.forced && '☢️ forced' || '' }}
new_commits_json: ${{ toJSON(github.event.commits) }}
compare_url_template: ${{ format('/{0}/compare/{{base}}...{{head}}', github.repository) }}
github_context_json: ${{ toJSON(github) }}
job_env_json: ${{ toJSON(env) }}
vars_json: ${{ toJSON(vars) }}
run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
working-directory: ./
continue-on-error: true
test:
runs-on: ubuntu-latest
timeout-minutes: 10
services:
minio:
image: minio/minio:edge-cicd
options: >
--name=minio
--health-interval=10s --health-timeout=5s --health-retries=3
--health-cmd="curl -f http://localhost:9000/minio/health/live"
steps:
- name: Check out repository
uses: actions/checkout@v3
with:
submodules: true
- name: Log in to Docker hub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKER_USER }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- id: build
name: Build image
uses: docker/build-push-action@v3
with:
context: autogpts/autogpt
build-args: BUILD_TYPE=dev # include pytest
tags: >
${{ env.IMAGE_NAME }},
${{ env.DEPLOY_IMAGE_NAME }}:${{ env.DEV_IMAGE_TAG }}
load: true # save to docker images
# cache layers in GitHub Actions cache to speed up builds
cache-from: type=gha,scope=autogpt-docker-dev
cache-to: type=gha,scope=autogpt-docker-dev,mode=max
- id: test
name: Run tests
env:
CI: true
PLAIN_OUTPUT: True
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
S3_ENDPOINT_URL: http://minio:9000
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
run: |
set +e
docker run --env CI --env OPENAI_API_KEY \
--network container:minio \
--env S3_ENDPOINT_URL --env AWS_ACCESS_KEY_ID --env AWS_SECRET_ACCESS_KEY \
--entrypoint poetry ${{ env.IMAGE_NAME }} run \
pytest -v --cov=autogpt --cov-branch --cov-report term-missing \
--numprocesses=4 --durations=10 \
tests/unit tests/integration 2>&1 | tee test_output.txt
test_failure=${PIPESTATUS[0]}
cat << $EOF >> $GITHUB_STEP_SUMMARY
# Tests $([ $test_failure = 0 ] && echo '✅' || echo '❌')
\`\`\`
$(cat test_output.txt)
\`\`\`
$EOF
exit $test_failure
- if: github.event_name == 'push' && github.ref_name == 'master'
name: Push image to Docker Hub
run: docker push ${{ env.DEPLOY_IMAGE_NAME }}:${{ env.DEV_IMAGE_TAG }}