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This repository was archived by the owner on Nov 23, 2025. It is now read-only.

Commit 1116c2e

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AdithaBuwanekaAdithaBuwaneka
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Merge pull request #5 from TechTorque-2025/dev
Dev
2 parents 0c2b78a + 3c34eff commit 1116c2e

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‎.dockerignore‎

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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual environments
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venv/
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.venv/
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env/
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ENV/
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env.bak/
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venv.bak/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# Testing
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.pytest_cache/
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.coverage
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.hypothesis/
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htmlcov/
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.tox/
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.nox/
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# Environment files
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.env
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.envrc
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.env.*
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# Git
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.git/
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.gitignore
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.gitattributes
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# Documentation
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*.md
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README.md
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LICENSE
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docs/
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# CI/CD
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.github/
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# Development files
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test_*.py
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*_test.py
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tests/
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# OS
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.DS_Store
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Thumbs.db
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# Logs
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*.log
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# Temporary files
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tmp/
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temp/
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*.tmp

‎.env.example‎

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# Google Gemini API Key (Required)
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GOOGLE_API_KEY=your_google_api_key_here
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# Pinecone Vector Database (Required for RAG)
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PINECONE_API_KEY=your_pinecone_api_key_here
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PINECONE_ENVIRONMENT=gcp-starter
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PINECONE_INDEX_NAME=techtorque-kb
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PINECONE_DIMENSION=384
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# Gemini Model Configuration
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GEMINI_MODEL=gemini-2.5-flash
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# RAG Settings
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RAG_CHUNK_SIZE=500
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RAG_CHUNK_OVERLAP=50
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MAX_CONTEXT_LENGTH=2000
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# Microservice URLs (Backend Services)
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BASE_SERVICE_URL=http://localhost:8080/api/v1
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AUTHENTICATION_SERVICE_URL=http://localhost:8080/api/v1/auth
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VEHICLE_SERVICE_URL=http://localhost:8080/api/v1/vehicles
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PROJECT_SERVICE_URL=http://localhost:8080/api/v1/jobs
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TIME_LOGGING_SERVICE_URL=http://localhost:8080/api/v1/logs
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APPOINTMENT_SERVICE_URL=http://localhost:8080/api/v1/appointments
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# Server Configuration
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PORT=8091

‎.github/workflows/build.yaml‎

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name: Build and Package Agent Bot Service
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on:
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push:
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branches:
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- 'main'
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- 'devOps'
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- 'dev'
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pull_request:
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branches:
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- 'main'
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- 'devOps'
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- 'dev'
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# Permissions needed to push Docker images to your org's GitHub packages
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permissions:
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contents: read
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packages: write
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jobs:
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# JOB 1: Test the Python application
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build-test:
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name: Install Dependencies and Test
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python 3.11
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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cache: 'pip'
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- name: Cache pip packages
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uses: actions/cache@v4
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with:
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path: ~/.cache/pip
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key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
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restore-keys: |
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${{ runner.os }}-pip-
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Lint with flake8 (optional)
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run: |
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pip install flake8
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# Stop the build if there are Python syntax errors or undefined names
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flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
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# Exit-zero treats all errors as warnings
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flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
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continue-on-error: true
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# Removed: Test import of main module
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# This step was causing failures because it tries to initialize the application
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# without environment variables (GOOGLE_API_KEY, PINECONE_API_KEY).
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# These variables are only available in the K3S cluster, not in GitHub Actions.
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# The flake8 linting step above is sufficient to catch syntax errors.
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# JOB 2: Build and push Docker image
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build-and-push-docker:
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name: Build & Push Docker Image
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# This job only runs on pushes to 'main', 'devOps', or 'dev', not on PRs
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if: github.ref == 'refs/heads/main' || github.ref == 'refs/heads/devOps' || github.ref == 'refs/heads/dev'
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runs-on: ubuntu-latest
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# This job runs *after* the build-test job succeeds
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needs: build-test
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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# This action generates smart tags for your Docker image
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- name: Docker meta
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id: meta
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uses: docker/metadata-action@v5
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with:
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images: ghcr.io/${{ github.repository }} # e.g., ghcr.io/TechTorque-2025/Agent_Bot
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tags: |
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type=sha,prefix=
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type=raw,value=latest,enable={{is_default_branch}}
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# Logs you into the GitHub Container Registry (GHCR)
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- name: Log in to GHCR
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uses: docker/login-action@v3
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with:
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registry: ghcr.io
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }} # This token is auto-generated
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# Builds the Docker image and pushes it to GHCR
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- name: Build and push Docker image
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uses: docker/build-push-action@v5
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with:
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context: . # Dockerfile is in the root of this repo
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push: true
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}

‎.github/workflows/deploy.yaml‎

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name: Deploy Agent Bot Service to Kubernetes
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on:
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workflow_run:
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# This MUST match the 'name:' of your build.yaml file
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workflows: ["Build and Package Agent Bot Service"]
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types:
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- completed
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branches:
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- 'main'
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- 'devOps'
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jobs:
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deploy:
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name: Deploy Agent Bot Service to Kubernetes
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# We only deploy if the build job was successful
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if: ${{ github.event.workflow_run.conclusion == 'success' }}
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runs-on: ubuntu-latest
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steps:
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# We only need the SHA of the new image
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- name: Get Commit SHA
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id: get_sha
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run: |
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echo "sha=$(echo ${{ github.event.workflow_run.head_sha }} | cut -c1-7)" >> $GITHUB_OUTPUT
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# 1. Checkout your 'k8s-config' repository
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- name: Checkout K8s Config Repo
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uses: actions/checkout@v4
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with:
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# This points to your k8s config repo
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repository: 'TechTorque-2025/k8s-config'
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# This uses the org-level secret you created
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token: ${{ secrets.REPO_ACCESS_TOKEN }}
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# We'll put the code in a directory named 'config-repo'
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path: 'config-repo'
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# Explicitly checkout the 'main' branch
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ref: 'main'
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- name: Install kubectl
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uses: azure/setup-kubectl@v3
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- name: Install yq
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run: |
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sudo wget https://github.com/mikefarah/yq/releases/latest/download/yq_linux_amd64 -O /usr/bin/yq
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sudo chmod +x /usr/bin/yq
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- name: Set Kubernetes context
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uses: azure/k8s-set-context@v4
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with:
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kubeconfig: ${{ secrets.KUBE_CONFIG_DATA }} # This uses your Org-level secret
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# 2. Update the image tag for the agent-bot service
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- name: Update image tag in YAML
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run: |
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yq -i '(select(.kind == "Deployment") | .spec.template.spec.containers[0].image) = "ghcr.io/techtorque-2025/agent_bot:${{ steps.get_sha.outputs.sha }}"' config-repo/k8s/services/agent-bot-deployment.yaml
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# Display file contents before apply for debugging
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- name: Display file contents before apply
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run: |
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echo "--- Displaying k8s/services/agent-bot-deployment.yaml ---"
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cat config-repo/k8s/services/agent-bot-deployment.yaml
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echo "------------------------------------------------------"
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# 3. Deploy the updated file
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- name: Deploy to Kubernetes
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run: |
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kubectl apply -f config-repo/k8s/services/agent-bot-deployment.yaml
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kubectl rollout status deployment/agent-bot-deployment

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