Added new workflow file for CI

.github/workflows/build_push_docker.yaml

@@ -1,6 +1,6 @@
 name: "Build and Push Docker Image"
 on:
-  workflow_dispatch:
+  workflow_call:
     inputs:
       DOCKER_FILEPATH:
         description: "The path dockerfile."
@@ -39,7 +39,7 @@ jobs:
         key: ${{ runner.os }}-buildx-${{ github.sha }}
         restore-keys: |
           ${{ runner.os }}-buildx-
-    - name: Build and push Docker image with version tag
+    - name: Build and push Docker image
       uses: docker/build-push-action@v5
       with:
         context: .

.github/workflows/continuous_integration.yaml

@@ -0,0 +1,13 @@
+name: CI
+
+on:
+  workflow_dispatch:
+
+jobs:
+  unit-tests:
+    name: Run Unit Tests
+    uses: .github/workflows/pytest.yaml@main
+  docker-build:
+    needs: unit-tests
+    name: Build Docker Image
+    uses: .github/workflows/build_push_docker.yaml@main

.github/workflows/pytest.yaml

@@ -0,0 +1,35 @@
+name: "Build and Push Docker Image"
+on:
+  workflow_call:
+
+jobs:
+  pytest:
+    name: "Build and Push Docker Image"
+    runs-on: ubuntu-latest
+    steps:
+    - name: "Set up poetry python"
+      id: setup-python
+      uses: actions/setup-python@v4
+      with:
+        python-version: 3.10
+    - name: "Install Poetry"
+      uses: snok/install-poetry@v1
+      with:
+        installer-parallel: true
+        virtualenvs-create: true
+        virtualenvs-in-project: true
+    - name: Load cached venv
+      id: cached-poetry-dependencies
+      uses: actions/cache@v3
+      with:
+        path: .venv
+        key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}
+    - name: Install poetry dependencies
+      shell: bash
+      run: |
+        poetry install --no-interaction --no-root
+    - name: "Run pytest"
+      run: |
+        poetry --version
+        source .venv/bin/activate
+        python -m pytest

tests/example_test.py

@@ -0,0 +1,10 @@
+from custom_predictor.dummy_model import DummyModel
+
+
+class TestCustomPredictor:
+    def test_custom_predictor(self):
+        pass
+
+    def test_dummy_model(self):
+        model = DummyModel()
+        assert isinstance(model, DummyModel)