Started docker config

Dockerfile

@@ -0,0 +1,26 @@
+FROM python:3.11.4
+
+WORKDIR /app
+
+# Copy the requirements.txt first to leverage Docker cache
+COPY requirements.txt .
+
+# Install the Python dependencies
+RUN pip install -r requirements.txt
+
+# Install Doppler CLI
+RUN curl -Ls https://cli.doppler.com/install.sh | sh
+
+# # Copy the rest of the application code from the 'app' directory
+# COPY app/ .
+# COPY app/ /app/
+# COPY . /app/
+
+EXPOSE 8000
+
+# Use Doppler to inject environment variables and start the application
+ENTRYPOINT ["doppler", "run", "--"]
+CMD ["uvicorn", "main:app", "--reload"]
+
+# Use the command below if you want to run with gunicorn
+# CMD ["gunicorn", "-w", "4", "-k", "uvicorn.workers.UvicornWorker", "main:app", "--bind", "0.0.0.0:8000", "--timeout", "120"]

docker-compose.yml

@@ -0,0 +1,14 @@
+services:
+  app:
+    build: .
+    container_name: tax-app-api-v0
+    ports:
+      - "8000" # Map port 8080 on the host to 8000 in the container
+    volumes:
+      - ./app:/app # Map the local 'app' directory to '/app' in the container
+    environment:
+      - DOPPLER_TOKEN
+    entrypoint: ["doppler", "run", "--"]
+    # The command here overrides the CMD in Dockerfile, use with caution
+    # command: uvicorn main:app --reload
+    command: ["uvicorn", "main:app", "--reload"]

package.json

@@ -24,6 +24,10 @@
         "deploy": "git push heroku dev:master",
         "install": "pip install -r requirements.txt",
         "logs":"heroku logs --tail",
+        "docker": "",
+        "docker:up": "docker-compose up -d",
+        "docker:down": "docker-compose down",
+        "docker:build": "docker-compose build",
         "test": "yarn test:all",
         "test:all": "yarn test:app && yarn test:db && yarn test:models && yarn test:services && yarn test:controllers",
         "test:app": "PYTHONPATH=./app pytest tests/test_app.py",