Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/danieldev0724/django-postgres-vue-gitlab-ecs

An example project that demonstrates local development, CI/CD and production setup for a full stack web application using Django, Django REST Framework, Django Channels, Postgres, VueJS, Redis, Celery, GitLab CI, CloudFormation and AWS ECS.
https://github.com/danieldev0724/django-postgres-vue-gitlab-ecs

cicd cloudformation django docker docker-compose ecs gitlab-ci minicube nginx postgres redis vue

Last synced: about 1 month ago
JSON representation

An example project that demonstrates local development, CI/CD and production setup for a full stack web application using Django, Django REST Framework, Django Channels, Postgres, VueJS, Redis, Celery, GitLab CI, CloudFormation and AWS ECS.

Awesome Lists containing this project

README 

        
## Project Documentation



Documentation for this project can be found here:



[https://verbose-equals-true.gitlab.io/django-postgres-vue-gitlab-ecs/](https://verbose-equals-true.gitlab.io/django-postgres-vue-gitlab-ecs/)



## Project Architecture Overview



Here is an overview of the project architecture, including the CI/CD pipeline and the AWS infrastructure that will be automatically provisioned through the AWS Cloud Development Kit:



![png](/architecture.png)



(This diagram was created with [draw.io](https://draw.io). Here's the link to the a read-only version of the diagram on draw.io: [https://drive.google.com/file/d/1gU61zjoW80fCusUcswU1zhEE5VFB1Z5U/view?usp=sharing](https://drive.google.com/file/d/1gU61zjoW80fCusUcswU1zhEE5VFB1Z5U/view?usp=sharing)



### Legend



1 - GitLab is used to host the source code, test the source code and deploy the application to AWS.



2 - Unit testing (see `.gitlab-ci.yml`)



2a - Pytest



2b - Jest



2c - Cypress



3 - Deployment phase (see `/gitlab-ci/aws/cdk.yml`)



3a - Quasar PWA assets are built if there are changes in the `quasar` directory



3b - AWS Cloud Development Kit (CDK) defines all infrastructure in AWS (4a - 12)



3c - AWS CLI is used to run Fargate tasks through manual GitLab CI jobs



4 - CDK Assets (ECR and S3 buckets that CDK uses internally to manage build assets and artifacts)



4a - Elastic Container Repository is used to manage the Django docker image used in various parts of the application



4b - S3 bucket used to store files associated with CDK and CloudFormation



5 - Route53 is used to route traffic to the CloudFront distribution



6 - CloudFront distribution that serves as the "front desk" of the application. It routes requests to to the correct CloudFront Origin



7 - CloudFront Origin Configurations



7a - S3 bucket for Quasar PWA assets



7b - Application Load Balancer for Django application (`/api/`, `/admin/`, `/flower/`, `/ws/`, `/graphql/`)



7c - S3 bucket for Django assets (static files, public media and private media)



8 - Web server and websocket servers



8a - Fargate service running uvicorn process (REST, GraphQL, Django Channels)



8b - Autoscaling Group for Fargate Service that serves Django API



9 - Celery and celery worker autoscaling



9a - Fargate service that is autoscaled between 0 and `N` Fargate tasks for a given celery queue



9b - Scheduled Event that triggers a Lambda to make a request to Django backend which collects celery queue metrics and published metrics to CloudWatch using boto3



9c - Lambda event the makes a request to `/api/celery-metrics/`



9d - CloudWatch alarm that is used to scale the Fargate service for a celery queue



9e - Autoscaling group for celery Fargate service



10 - Fargate tasks that run Django management commands such as `migrate` and `collectstatic`. These are triggered from manual GitLab CI jobs using the AWS CLI (3c)



11 - ElastiCache for Redis, used for Caching, Celery Broker, Channels Layer, etc.



12 - Aurora Postgres Serverless



## Local Development



First, copy `.env.template` to a new file in the project's root directory called `.env`. This file will be read by `docker-compose` in the next step. Adjust any of the values in this file if needed, or add new variables for any secret information you need to pass to docker-compose (or to docker containers).



```sh

docker-compose up

```



Open `http://localhost` in your browser.



You can specify environment variables for docker-compose by adding an `.env` file to the root of the project based on `.env.template`.



### Social Authentication Keys



To use social sign on in local development, you will need to create an application with the given provider such as GitHub, Google, Facebook, etc.



#### GitHub



Go to [https://github.com/settings/applications/new](https://github.com/settings/applications/new), and add the following:



- Application Name: A name for the development application, such as `My App Dev`

- Homepage URL: `http://localhost`

- Application description: (optional)

- Authorization callback URL `http://localhost/auth/github/callback` (this route is defined in `quasar/src/router/routes.js`)



In the `.env` file, add the `Client ID` of your GitHub OAuth App as the `GITHUB_KEY` variable, and add the `Client Secret` as the `GITHUB_SECRET` variable.



## VuePress Documentation



This project uses VuePress for documentation. To view the documentation site locally, run the following command:



```bash

docker-compose -f compose/docs.yml up --build

```



This will make the docs available at `http://localhost:8082/docs/`. Hot-reloading through websockets is supported, so changes will show up as they are saved in your code editor.



### Access Django Shell in Jupyter Notebook



With all containers running, run the following commands:



```

docker exec -it backend bash

# cd notebooks/

# ../manage.py shell_plus --notebook

```



or use this single command:



```

docker exec -it backend bash -c 'cd notebooks && ../manage.py shell_plus --notebook'

```