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fix: pass on conversational style #29

fix: pass on conversational style

fix: pass on conversational style #29

Workflow file for this run

name: Main deployment of Chatbot lambda function
on:
push:
branches: [main]
jobs:
test:
name: Staging deployment tests
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_MODEL: ${{ vars.OPENAI_MODEL }}
GOOGLE_AI_API_KEY: ${{ secrets.GOOGLE_AI_API_KEY }}
GOOGLE_AI_MODEL: ${{ vars.GOOGLE_AI_MODEL }}
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
id: python-setup
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
# - name: Load cached venv
# id: dependencies-cache
# uses: actions/cache@v3
# with:
# path: .venv
# key: venv-${{ runner.os }}-${{ steps.python-setup.outputs.python-version }}
- name: Create Venv if Cache not found
# if: steps.dependencies-cache.outputs.cache-hit != 'true'
run: |
python -m venv .venv
- name: Install dependencies
# if: steps.dependencies-cache.outputs.cache-hit != 'true'
run: |
pip install --upgrade pip
pip install -r requirements.txt
- name: Run tests
if: always()
run: |
source .venv/bin/activate
pytest --junit-xml=./reports/pytest.xml --tb=auto -v
- name: Upload test results
uses: actions/upload-artifact@v4
if: always()
with:
name: test-results
path: ./reports/pytest.xml
if-no-files-found: warn
staging_job:
name: Staging deployment of Chatbot Module to lambda function
runs-on: ubuntu-latest
needs: test
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Configure AWS Credentials
uses: aws-actions/configure-aws-credentials@v4
with:
aws-access-key-id: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_ID }}
aws-secret-access-key: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_SECRET }}
aws-region: eu-west-2
- name: Login to Amazon ECR
id: login-pf-aws-ecr
uses: aws-actions/amazon-ecr-login@v2
- name: Build and push the tagged docker image to Amazon ECR
id: build-custom-image
env:
ECR_REGISTRY: ${{ steps.login-pf-aws-ecr.outputs.registry }}
ECR_REPOSITORY: lambda-feedback-staging-chat
IMAGE_TAG: latest
run: |
docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
- name: Update aws custom lambda function code
env:
ECR_REGISTRY: ${{ steps.login-pf-aws-ecr.outputs.registry }}
ECR_REPOSITORY: lambda-feedback-staging-chat
IMAGE_TAG: latest
run: |
aws lambda update-function-code \
--function-name lambda-feedback-staging-chat \
--image-uri $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
approval_job:
needs: staging_job
name: Waiting for approval
runs-on: ubuntu-latest
steps:
- name: Generate token
id: generate_token
uses: tibdex/github-app-token@v1
with:
app_id: ${{ secrets.APP_ID }}
private_key: ${{ secrets.APP_SECRET }}
- name: Approve Production Deployment
uses: trstringer/manual-approval@v1
with:
approvers: neagualexa
# approvers: approvers
minimum-approvals: 1
timeout-minutes: 10
secret: ${{ steps.generate_token.outputs.token }}
issue-title: Approve Production Deployment
issue-body: Approve production deployment for the Chatbot Module
exclude-workflow-initiator-as-approver: false
additional-approved-words: "fine, go, approved"
additional-denied-words: "deny, stop"
prod_job:
needs: approval_job
name: Prod deployment of Chatbot Module to lambda function
runs-on: ubuntu-latest
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Configure AWS Credentials
uses: aws-actions/configure-aws-credentials@v4
with:
aws-access-key-id: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_ID }}
aws-secret-access-key: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_SECRET }}
aws-region: eu-west-2
- name: Login to Amazon ECR
id: login-pf-aws-ecr
uses: aws-actions/amazon-ecr-login@v2
- name: Build and push the tagged docker image to Amazon ECR
id: build-custom-image
env:
ECR_REGISTRY: ${{ steps.login-pf-aws-ecr.outputs.registry }}
ECR_REPOSITORY: lambda-feedback-prod-chat
IMAGE_TAG: latest
run: |
docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
- name: Update aws custom lambda function code
env:
ECR_REGISTRY: ${{ steps.login-pf-aws-ecr.outputs.registry }}
ECR_REPOSITORY: lambda-feedback-prod-chat
IMAGE_TAG: latest
run: |
aws lambda update-function-code \
--function-name lambda-feedback-prod-chat \
--image-uri $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG