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Height/profile services for geo.admin.ch

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service-alti

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Summary of the project

Height and profile services for http://api3.geo.admin.ch

How to run locally

Dependencies

The Make targets assume you have bash, curl, python3.9, pipenv, docker installed.

Setting up to work

First, you'll need to clone the repo

git clone git@github.com:geoadmin/service-alti.git

Then, you can run the setup target to ensure you have everything needed to develop, test and serve locally

make setup

That's it, you're ready to work.

Linting and formatting your work

In order to have a consistent code style the code should be formatted using yapf. Also to avoid syntax errors and non pythonic idioms code, the project uses the pylint linter. Both formatting and linter can be manually run using the following command:

make format-lint

Formatting and linting should be at best integrated inside the IDE, for this look at Integrate yapf and pylint into IDE

Test your work

Testing if what you developed work is made simple. You have four targets at your disposal. test, serve, gunicornserve, dockerrun

make test

This command run the integration and unit tests.

make serve

This will serve the application through Flask without any wsgi in front.

make gunicornserve

This will serve the application with the Gunicorn layer in front of the application

make dockerrun

This will serve the application with the wsgi server, inside a container. To stop serving through containers,

make shutdown

Is the command you're looking for.

Versioning

This service uses SemVer as versioning scheme. The versioning is automatically handled by .github/workflows/main.yml file.

See also Git Flow - Versioning for more information on the versioning guidelines.

Endpoints

/checker GET

this is a simple route meant to test if the server is up.

/rest/services/height GET

http://api3.geo.admin.ch/services/sdiservices.html#height

/rest/services/profile.json and /rest/services/profile.csv GET/POST

http://api3.geo.admin.ch/services/sdiservices.html#profile

Deploying the project and continuous integration

When creating a PR, it should run a codebuild job to test, build and push automatically your PR as a tagged container.

This service is to be deployed to the Kubernetes cluster once it is merged.

TO DO: give instructions to deploy to kubernetes.

Deployment configuration

The service is configured by Environment Variable:

Env Default Description
HTTP_PORT '5000' HTTP port of the service
LOGGING_CFG 'logging-cfg-local.yml' Logging configuration file
LOGS_DIR './logs' Directory for logging output files
DTM_BASE_PATH '/var/local/profile/' Raster and COMB files location
PRELOAD_RASTER_FILES False Preload raster files at startup. If not set they will be loaded during first request
ALTI_WORKERS 0 Number of workers. 0 or negative value means that the number of worker are computed from the number of cpu
DFT_CACHE_HEADER public, max-age=86400 Default cache settings for successful GET, HEAD and OPTIONS requests
GUNICORN_WORKER_TMP_DIR None This should be set to an tmpfs file system for better performance. See https://docs.gunicorn.org/en/stable/settings.html#worker-tmp-dir.