Add gitea deploy workflow

.gitea/workflows/deploy.yaml

@@ -0,0 +1,79 @@
+name: CI/CD Pipeline
+
+on:
+  push:
+    branches:
+      - main
+  tags:
+    - '*'
+
+jobs:
+  build:
+    runs-on: pyzebra
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Conda
+        run: |
+          source /opt/miniconda3/etc/profile.d/conda.sh
+          conda config --add channels conda-forge
+          conda config --set solver libmamba
+
+      - name: Determine build path
+        id: build_path
+        run: |
+          if [[ "${{ github.ref }}" == refs/tags/* ]]; then
+            echo "BUILD_PATH=${{ runner.temp }}/build-prod" >> $GITHUB_ENV
+          else
+            echo "BUILD_PATH=${{ runner.temp }}/build-test" >> $GITHUB_ENV
+          fi
+
+      - name: Build Conda package
+        run: |
+          conda build --no-anaconda-upload --output-folder $BUILD_PATH ./conda-recipe
+
+  deploy-test:
+    runs-on: pyzebra
+    needs: build
+    if: github.ref == 'refs/heads/main'
+    steps:
+      - name: Deploy to testing
+        run: |
+          source /opt/miniconda3/etc/profile.d/conda.sh
+          conda activate test
+          conda install --channel $BUILD_PATH --force-reinstall pyzebra -y
+          sudo systemctl restart pyzebra-test.service
+
+  deploy-prod:
+    runs-on: pyzebra
+    needs: build
+    if: startsWith(github.ref, 'refs/tags/')
+    steps:
+      - name: Deploy to production
+        run: |
+          source /opt/miniconda3/etc/profile.d/conda.sh
+          conda activate prod
+          conda install --channel $BUILD_PATH pyzebra -y
+          sudo systemctl restart pyzebra-prod.service
+
+  publish:
+    runs-on: pyzebra
+    needs: deploy-prod
+    if: startsWith(github.ref, 'refs/tags/')
+    steps:
+      - name: Publish to Anaconda
+        run: |
+          source /opt/miniconda3/etc/profile.d/conda.sh
+          conda activate base
+          anaconda --token ${{ secrets.ANACONDA_TOKEN }} upload $(conda build --output-folder $BUILD_PATH ./conda-recipe --output)
+
+  cleanup:
+    runs-on: pyzebra
+    needs: [build, deploy-test, deploy-prod, publish]
+    if: always()
+    steps:
+      - name: Cleanup
+        run: |
+          rm -rf $BUILD_PATH
+          conda build purge-all