python-private-service-layout

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python-private-service-layout

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python template private service

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# Template for private python service

![](https://raw.githubusercontent.com/U-Company/python-private-service-layout/master/%7B%7B%20cookiecutter.service%20%7D%7D/docs/swagger.png)
 
This is a [cookiecutter](https://github.com/cookiecutter/cookiecutter) template for an internal REST API service, written in Python, inspired by [layout-golang](https://github.com/golang-standards/project-layout). The stack is based on [FastAPI](https://github.com/tiangolo/fastapi) and [uvicorn](https://www.uvicorn.org/) and runs on [docker](https://www.docker.com/) and docker-compose.

## Service layout

Below is the 1000ft structure of project's modules. Here, red ones are private, green ones are public. Package consists of  both public and private sources.

![](https://raw.githubusercontent.com/U-Company/python-private-service-layout/master/docs/structure.png)

We have some modules:

- **Package**. Publish to pypi registry
- **Server**. Server has some submodules for configuration handlers, logging and exceptions. Server has all business logic.
- **Integration tests**. Integration tests communicate with server as black box. You can read differences between unit and integration tests [here](%7B%7B%20cookiecutter.service%20%7D%7D/docs/tests.md)

**Notice**. Bad practice to import any function from server module.

Read more on the project's main principles [here](%7B%7B%20cookiecutter.service%20%7D%7D/docs/structure.md).
you can also read more on our approach [here](https://github.com/U-Company/notes).

## Service

Our service has built-in:

- [prometheus endpoint](https://github.com/prometheus/client_python)
- [vault-client](https://github.com/U-Company/vault-client)
- healthcheck
- [docker](https://www.docker.com/) and docker-compose for local development and deploying
- isolated docker development
- loguru for logging
- autogeneration of README.md for your service
- swagger from FastAPI /docs
- [FastAPI](https://github.com/tiangolo/fastapi) as service
- [Uvicorn](https://www.uvicorn.org/) as asgi server
- console server
- templates for unit and integration tests
- interface for control your service via makefile
- completely to publishing package (private pypi-registry)
- completely to publishing dockerfile (private docker-registry)
- basic token (api-key) [authentication](https://medium.com/data-rebels/fastapi-authentication-revisited-enabling-api-key-authentication-122dc5975680)

## Usage

To use this project, you need to install [cookiecutter](https://github.com/cookiecutter/cookiecutter):

pip install cookiecutter
    cookiecutter https://github.com/U-Company/python-private-service-layout.git

Next, you need to have `docker` and `docker-compose`:

sudo apt-get install make docker.io docker-compose

[Here](%7B%7B%20cookiecutter.service%20%7D%7D/docs/commands.md) you cand find all available commands for communicate with service with a command line.

If you have any errors, you can read about in documentary after project generation. You can communicate with Egor Urvanov by UrvanovCompany@yandex.ru or in telegram (@egor_urvanov)

For the full tutorial of service generation you can read [here](docs/tutorial.md).

## Execution and infrastructure

To deploy service **WITHOUT** dependencies, just run the docker-compose from the root via make:

make run

To deploy service **WITH** dependencies, just run the docker-compose from the root via make:

make run-full
    
(Default deployment is based on  [infrastructure](https://github.com/U-Company/infrastructure))
    
That's it! Enjoy

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