https://github.com/timurkr/mandalinka-backend
Mandalinka - back-end service, providing GraphQL endpoint to the database and admin interface
https://github.com/timurkr/mandalinka-backend
django graphql
Last synced: about 1 month ago
JSON representation
Mandalinka - back-end service, providing GraphQL endpoint to the database and admin interface
- Host: GitHub
- URL: https://github.com/timurkr/mandalinka-backend
- Owner: TimurKr
- Created: 2022-08-30T19:44:43.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-04-08T17:31:39.000Z (about 3 years ago)
- Last Synced: 2025-02-26T19:16:50.935Z (over 1 year ago)
- Topics: django, graphql
- Language: Python
- Homepage:
- Size: 88.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 17
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Mandalinka backend
## About
This is the backend service for mandalinka. It provides GraphQL endpoint at the root url `/` and admin page at `/admin`
Related repositories:
- [web app](https://github.com/TimurKr/mandalinka-web)
## Development
##### Running server in development
1. Make sure you have downloaded gcloud CLI. [How?](https://cloud.google.com/sdk/docs/install)
2. Initialize `gcloud` by running
```
gcloud init
```
3. Authenticate `gloud` by running
```
gcloud auth application-default login
```
4. Run the server with the script
```
./run_development.sh
```
This runs the script in a virtual environment.
##### Running django commandse using `manage.py`
1. Run in parallel with the server
- Run the server in one terminal `./run_development.sh`
- Open new terminal and activate the virtual environment `source venv/bin/activate`. It will be activated automatically if using VSCode and you have selected the interpreter from the `venv`.
- Run `export DEVELOPMENT=True` to add the required environment variable
- Run the command in the new terminal `python manage.py `
2. Run without running the server
- Activate the virtual environment `source venv/bin/activate`. It will be activated automatically if using VSCode and you have selected the interpreter from the `venv`.
- Start the Cloud SQL proxy. If it is not dowloaded, run the development script once to download it.
```
./cloud_sql_proxy -instances=mandalinka-275618:us-central1:mandalinka-db=tcp:5432
```
- Set the environment variables `export DEVELOPMENT=True`
- Run the command `python manage.py `
> If the repozitory was just cloned, intelisense will not work. Run in the development to create the virtual environment with all requirements and then select the interpreter from the `venv`.
## Deployment
The app is deployed to Google Cloud App Engine. The deployment is done using GitHub Actions. The deployment is triggered when a new commit is pushed to the master branch. Avoid pushing to master directly. Create a new branch and create a pull request to master.
Do not deploy deploy to production directly.
#### Working on:
## Useful info for developers:
### Superuser account:
username: admin
email: admin@mandalinka.sk
password: admin_heslo