Skip to content
llm-app - build and public package

llm-app 0.3.5 release (#5326) #8

Sign in to view logs

llm-app 0.3.5 release (#5326)

llm-app 0.3.5 release (#5326) #8

Workflow file for this run

.github/workflows/release.yml at cc7387a
name: llm-app - build and public package
on:
push:
tags:
- 'v*.*.*'
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
jobs:
Build_package:
name: Build package
strategy:
fail-fast: false
runs-on: ubuntu-22.04
timeout-minutes: 30
steps:
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Git checkout
uses: actions/checkout@v4
- name: Install poetry
uses: abatilo/actions-poetry@v2
- name: Build package
run: poetry build
- name: Upload artifact
uses: actions/upload-artifact@v4
with:
name: llm-app
path: ./dist/
- name: Upload artifact
uses: actions/upload-artifact@v4
with:
name: CHANGELOG.md
path: CHANGELOG.md
Verify_package:
needs:
- Build_package
name: Verify package
strategy:
matrix:
python-version: ["3.10", "3.11"]
fail-fast: false
runs-on: ubuntu-22.04
timeout-minutes: 30
steps:
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Git checkout
uses: actions/checkout@v4
- name: Install poetry
uses: abatilo/actions-poetry@v2
- name: create dir for wheels
run: |
mkdir wheels
- uses: actions/download-artifact@v4
with:
name: llm-app
path: ./wheels/
- name: Build ENV
run: |
cat <<EOF > .env
APP_VARIANT=contextful
PATHWAY_REST_CONNECTOR_HOST=0.0.0.0
PATHWAY_REST_CONNECTOR_PORT=8080
OPENAI_API_KEY=${{ secrets.OPENAI_TOKEN }}
PATHWAY_CACHE_DIR=/tmp/cache
EOF
- name: Install and verify ${{ matrix.os }} package
run: |
set -ex
ENV_NAME="testenv_llm_app"
rm -rf $ENV_NAME
python -m venv ${ENV_NAME}
source ${ENV_NAME}/bin/activate
pip install python-dotenv
pip install --prefer-binary wheels/*.whl
python ./run_examples.py contextful > /dev/null 2>&1 &
sleep 60
curl -s --data '{"user": "user", "query": "How to connect to Kafka in Pathway?"}' http://localhost:8080/
Test_pypi: # test.pypi.org first
needs:
- Build_package
- Verify_package
name: Test pypi
strategy:
fail-fast: false
runs-on: ubuntu-22.04
timeout-minutes: 15
steps:
- name: Git checkout
uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: create dir for wheels
run: |
mkdir wheels
- uses: actions/download-artifact@v4
with:
name: llm-app
path: ./wheels/
- uses: actions/download-artifact@v4
with:
name: CHANGELOG.md
path: .
- name: Build ENV
run: |
cat <<EOF > .env
APP_VARIANT=contextful
PATHWAY_REST_CONNECTOR_HOST=0.0.0.0
PATHWAY_REST_CONNECTOR_PORT=8080
OPENAI_API_KEY=${{ secrets.OPENAI_TOKEN }}
PATHWAY_CACHE_DIR=/tmp/cache
EOF
# https://github.com/marketplace/actions/pypi-publish
# https://test.pypi.org/project/llm-app/
- name: Publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.TEST_PYPI_TOKEN }}
packages-dir: './wheels/'
repository-url: https://test.pypi.org/legacy/
- name: Install and verify ${{ matrix.os }} package
run: |
set -ex
ENV_NAME="testenv_llm_app"
rm -rf $ENV_NAME
python -m venv ${ENV_NAME}
source ${ENV_NAME}/bin/activate
pip install python-dotenv
pip install -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple llm-app
pip show llm-app
python ./run_examples.py contextful > /dev/null 2>&1 &
sleep 60
curl -s --data '{"user": "user", "query": "How to connect to Kafka in Pathway?"}' http://localhost:8080/
Publish:
needs:
- Build_package
- Verify_package
- Test_pypi
environment: PROD
name: Publish package
strategy:
# When true GitHub will cancel all in-progress and queued jobs in the matrix if any job in the matrix fails.
fail-fast: false
runs-on: ubuntu-22.04
timeout-minutes: 15
steps:
# Add wheelhouse
- name: create dir for wheels
run: |
mkdir wheels
- uses: actions/download-artifact@v4
with:
name: llm-app
path: ./wheels/
- uses: actions/download-artifact@v4
with:
name: CHANGELOG.md
path: .
- name: Save package to S3
uses: prewk/s3-cp-action@v2
with:
aws_access_key_id: ${{ secrets.ARTIFACT_AWS_ACCESS_KEY_ID }}
aws_secret_access_key: ${{ secrets.ARTIFACT_AWS_SECRET_ACCESS_KEY }}
dest: ${{ secrets.ARTIFACT_AWS_BUCKET }}
source: ./wheels/*.whl
# https://github.com/marketplace/actions/create-release
- name: Create Release
uses: ncipollo/[email protected]
with:
draft: true
artifacts: "./wheels/*.whl"
artifactContentType: "raw"
allowUpdates: true
bodyFile: "CHANGELOG.md"
tag: ${{github.ref_name}}
commit: main
# https://github.com/marketplace/actions/pypi-publish
# https://pypi.org/project/llm-app/
- name: Publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.PYPI_TOKEN }}
packages-dir: './wheels/'
post-release-message:
runs-on: ubuntu-latest
needs: Publish
if: success()
steps:
- name: Post to a Slack channel
id: slack
uses: slackapi/[email protected]
with:
# Slack channel id, channel name, or user id to post message.
# See also: https://api.slack.com/methods/chat.postMessage#channels
# You can pass in multiple channels to post to by providing a comma-delimited list of channel IDs.
channel-id: "{{ secrets.SLACK_DEV_CHANNEL_ID }}"
# For posting a simple plain text message
payload: |
{
"text": ":tada:\n Hey, it's Manul here. I've made a new release llm-app ${{ github.event.release.tag_name }} released: has been published:\n${{ github.event.release.html_url }} \nhttps://pypi.org/project/llm-app/ \n:tada:",
"blocks": [
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": ":tada:\n Hey, it's Manul here. I've made a new release llm-app ${{ github.event.release.tag_name }} released: has been published:\n${{ github.event.release.html_url }} \nhttps://pypi.org/project/llm-app/ \n:tada:"
}
}
]
}
env:
SLACK_WEBHOOK_URL: ${{ secrets.SLACK_DEV_CHANNEL_URL }}