Containerizing an application helps to use it more conveniently across different platforms and, most importantly, as a microservice. Further, scaling an application becomes more straightforward as various standardized orchestration tools can be utilized. A Microservice can be launched either (locally) or, for example, as a highly-scalable web-micro-service in a Kubernetes cluster.
- Further documentation - docs.dna-evolutions.com
- Special features - Overview of special features
- Our official repository - public.repo.dna-evolutions.com
- Our official JavaDocs - public.javadoc.dna-evolutions.com
- Our YouTube channel - DNA Tutorials
- Documentation - DNA's RESTful Spring-TourOptimizer in Docker
- Our DockerHub channel - DNA DockerHub
- Our LinkedIn channel - DNA LinkedIn
If you need any help, don't hesitate to get in contact with us via our company website www.dna-evolutions.com or write an email to info@dna-evolutions.com.
This repository is part of our JOpt-REST-Suite. It provides examples of how to set up a REST client in Python to access the following DNA Evolution's web services:
- JOpt-TourOptimizer based on JOpt-Core (available as a local Container and via Azure)
The service can be called via an API-Key using our Microsoft Azure-Kubernetes Infrastructure. If you are interested in hosting our JOpt-REST-GeoCoder and JOpt-REST-GeoRouter products in your environment, please get in contact with us.
All our RESTful Services utilize Spring WebFlux and Swagger. Internally the Java version of TourOptimizer is used. Indeed all specifications for the different services are derived from the core library, leading to guaranteed compatibility between all three services.
Optimize a problem consisting of Nodes, Resources, and optionally externally provided connections. In contrast to our other services, we allow you to host your JOpt-TourOptimizer locally. Please refer to "How to start JOpt TourOptimizer in docker" for more help.
Examples
Each of the sections has its README.
The Python-REST-Client class files used by the examples of this repository were generated utilizing the openapi-python Generator by OpenAPI Tools.
For creating the models, we used the containerized version of Open-API-Generator by calling:
docker run --rm -v "${PWD}:/local" openapitools/openapi-generator-cli:latest generate -i '/local/swagger/touroptimizer/spec/touroptimizer_spec.json' -g python -o /local/generated/jopt-touroptimizer-py-client --package-name=touroptimizer_py_client --additional-properties="useOneOfDiscriminatorLookup=true"
where ${PWD} needs to be adjusted to find the Open-API-docs under /local/swagger/touroptimizer/spec/touroptimizer_spec.json when mounting the volume ${PWD} into /local. Calling the command will generate the Python client that is part of this repository. You can find the touroptimizer_spec.json here.
Attention: The generated models seem to have some bugs. The first commit of this repository is fixing those issues.
You can also generate a client in the programming language of your choice utilizing our API-docs. REST facilitates software integration in your desired language (including famous ones like C#, Java, JS, Scala, Python, and many more ). Don't hesitate to reach out to us if you need help setting up your client.
For setting up a local test enviorment with database support, please refer to the separate Hands-on Tutorial: Setting Up a Local Fire and Forget TourOptimizer-Database Test Environment tutorial.
You can start using our examples:
- Python installed
- Please check requirements.txt
- Working Docker environment for local TourOptimizer instance
Clone this repository and import it in your favourite IDE.
You can call (from the main folder):
python setup.py installRun a file from the examples subfolders.
JOpt is a flexible routing optimization engine written in Java, allowing to solve tour-optimization problems that are highly restricted. For example, regarding time windows, skills, and even mandatory constraints can be applied.
Click to open our video:
For reading our license agreement and for further information about license plans, please visit www.dna-evolutions.com.
A product by dna-evolutions ©