DEV Community

Hitesh Chauhan
Hitesh Chauhan

Posted on

7

Create a django python project in docker in pycharm

Creating a Django Python project in Docker using PyCharm involves several steps. Below, I'll guide you through the entire process, including setting up Docker, creating a Django project, and configuring PyCharm.

Step 1: Install Docker

  1. Install Docker:

  2. Start Docker:

    • Open Docker Desktop and ensure it's running.

Step 2: Set Up Your Project Directory

  1. Create a project directory:
    • Choose a directory where you'll set up your Django project.

Step 3: Create a Dockerfile

  1. Create a Dockerfile in your project directory:
   # Use the official Python image from the Docker Hub
   FROM python:3.9-slim

   # Set environment variables
   ENV PYTHONDONTWRITEBYTECODE 1
   ENV PYTHONUNBUFFERED 1

   # Set work directory
   WORKDIR /code

   # Install dependencies
   COPY requirements.txt /code/
   RUN pip install --no-cache-dir -r requirements.txt

   # Copy project
   COPY . /code/
Enter fullscreen mode Exit fullscreen mode

Step 4: Create a docker-compose.yml File

  1. Create a docker-compose.yml in your project directory:
   version: '3.8'

   services:
     db:
       image: postgres:13
       volumes:
         - postgres_data:/var/lib/postgresql/data/
       environment:
         POSTGRES_DB: postgres
         POSTGRES_USER: postgres
         POSTGRES_PASSWORD: postgres

     web:
       build: .
       command: python manage.py runserver 0.0.0.0:8000
       volumes:
         - .:/code
       ports:
         - "8000:8000"
       depends_on:
         - db

   volumes:
     postgres_data:
Enter fullscreen mode Exit fullscreen mode

Step 5: Create a requirements.txt File

  1. Create a requirements.txt in your project directory:
   Django>=3.0,<4.0
   psycopg2-binary>=2.8
Enter fullscreen mode Exit fullscreen mode

Step 6: Create a Django Project

  1. Open a terminal and navigate to your project directory.
  2. Run the following command to create a new Django project (adjust the projectname):
   docker-compose run web django-admin startproject projectname .
Enter fullscreen mode Exit fullscreen mode

Step 7: Configure Django to Use the Postgres Database

  1. Open settings.py within your Django project.
  2. Update the DATABASES settings to use PostgreSQL:
   DATABASES = {
       'default': {
           'ENGINE': 'django.db.backends.postgresql',
           'NAME': 'postgres',
           'USER': 'postgres',
           'PASSWORD': 'postgres',
           'HOST': 'db',
           'PORT': 5432,
       }
   }
Enter fullscreen mode Exit fullscreen mode

Step 8: Run Docker Compose

  1. Build and run your containers:
   docker-compose up --build
Enter fullscreen mode Exit fullscreen mode

Step 9: Set Up PyCharm

  1. Open PyCharm and open your project directory.
  2. Configure Docker in PyCharm:
    • Go to Preferences (or Settings on Windows/Linux) > Build, Execution, Deployment > Docker.
    • Click + to add a new Docker configuration.
    • Set the connection to Docker Desktop (usually Docker for Mac or Docker for Windows).
  3. Add a Python interpreter using Docker:
    • Go to Preferences > Project: <your_project> > Python Interpreter.
    • Click the gear icon and select Add....
    • Choose Docker as the environment type.
    • Select the appropriate Docker image (e.g., python:3.9-slim).

Step 10: Run and Debug

  1. Run your project:
    • In PyCharm, use the run configuration to start your Django server.
  2. Debugging:
    • Set breakpoints as needed and use the PyCharm debugger to debug your code.

By following these steps, you should have a fully functional Django project running in Docker, managed through PyCharm. This setup ensures a consistent development environment and eases the deployment process.

Image of Datadog

The Future of AI, LLMs, and Observability on Google Cloud

Datadog sat down with Google’s Director of AI to discuss the current and future states of AI, ML, and LLMs on Google Cloud. Discover 7 key insights for technical leaders, covering everything from upskilling teams to observability best practices

Learn More

Top comments (0)

Sentry image

See why 4M developers consider Sentry, “not bad.”

Fixing code doesn’t have to be the worst part of your day. Learn how Sentry can help.

Learn more

👋 Kindness is contagious

Please leave a ❤️ or a friendly comment on this post if you found it helpful!

Okay