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# Developer Guide
The important directories are as follows:
```bash├── backend/├── docker/├── frontend/└── tools/```
## backend
The `backend/` directory includes the backend's REST API code. These APIs are built by [Python 3.8+](https://www.python.org/) and [Django 4.0+](https://www.djangoproject.com). The all of the packages are managed by Poetry, Python packaging and dependency management software. The directory structure of the backend follows mainly [Django](https://www.djangoproject.com) one. The following table shows the main files and directories:
| file or directory | description || ----------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- || api/ | Django application. In the older versions, this manages all the APIs. Now, there is only an API to check the status of Celery tasks. || auto_labeling/ | Django application. This manages the features related to auto labeling. || config/ | Django settings. This includes multiple setting files like production and development. || data_export/ | Django application. This manages the features related to data export. || data_import/ | Django application. This manages the features related to data import. || examples/ | Django application. This manages the features related to manipulate [examples](https://developers.google.com/machine-learning/glossary#example). || label_types/ | Django application. This manages the feature related to label types. || labels/ | Django application. This manages the feature related to labeling. || metrics/ | Django application. This manages the feature related to project metrics like the progress for each user, label distribution and so on. || projects/ | Django application. This manages the feature related to project manipulation. A project includes its members, examples, label types, and labels. || roles/ | Django application. This manages the feature related to roles. There are three roles: administrator, annotator, approver. These roles are assigned to the project members and defines their permission. || users/ | Django application. This manages the feature related to users. || cli.py | This defines the command line interfaces. If you install doccano by Python package, this file is used to setup database, create a superuser, run webserver and so on. || manage.py | Django management script. See [django-admin and manage.py](https://docs.djangoproject.com/en/4.0/ref/django-admin/) in detail. || poetry.lock | Related to Poetry. This file prevents you from automatically getting the latest versions of your dependencies. See [Basic usage](https://python-poetry.org/docs/basic-usage/) in Poetry documentation. || pyproject.toml | This file contains build system requirements and information, which are used by pip to build the package. See [pyproject.toml](https://pip.pypa.io/en/stable/reference/build-system/pyproject-toml/) and [The pyproject.toml file in Poetry](https://python-poetry.org/docs/pyproject/) in detail. |
If you want to setup the backend environment, please see [Installation guide](./install-and-upgrade-doccano.md#install-from-source).
## docker
| file | description || ----------------------- | ------------------------------------------------------------------------------------------------------------------------ || nginx/ | The `nginx` directory contains a NGINX configuration files. They are used only in `docker-compose.prod.yml`. || .env.example | The example of `.env` file. This is used only in `docker-compose.prod.yml`. || docker-compose.prod.yml | This file contains Docker Compose configuration to run a production environment. We adopted the three tier architecture. || Dockerfile | The dockerfile. You can pull the image from [doccano/doccano](https://hub.docker.com/r/doccano/doccano). || Dockerfile.heroku | The dockerfile for Heroku. || Dockerfile.nginx | The dockerfile to build nginx container. This is used only in `docker-compose.prod.yml`. || Dockerfile.prod | The dockerfile to build application container. This is used only in `docker-compose.prod.yml`. |
The architecture of the `docker-compose.prod.yml` is as follows:
On the other hand, the one of the `Dockerfile` is as follows:
## frontend
The `frontend/` directory contains frontend code. The `frontent` directory structure follows [Nuxt.js](https://ru.nuxtjs.org) one. See the [Nuxt.js documentation](https://nuxtjs.org/guide/directory-structure/) in details.
## tools
The `tools` directory contains some shell scripts. They are mainly used in Docker containers:
| file | description || ----------------- | -------------------------------------------------------------------------------------------------------------------- || create-package.sh | This script creates doccano's Python package. Note that yarn and poetry must already be installed. || heroku.sh | This script is used to create django's superuser in Heroku. || prod-celery.sh | This script is used to run celery in `docker-compose.prod.yml`. || prod-django.sh | This script is used to run gunicorn in `docker-compose.prod.yml`. In addition, create roles, superuser, and migrate. || run.sh | This script is used in `Dockerfile`. After creating roles and superuser, run gunicorn and celery. |
## Architecture of Python package
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