In the new testing process, 4th option in the tools menu, now it is available a new test that checks if the example-normalized.jsonld is a valid NGSI LD file.
This process helps contributors to debug their data models before submit them officially (where there will be new tests before final approval)
The source code for the test is available at the repo.
Remember that if you want to improve / create a new test, just create a PR on the repo.
In the new testing process, 4th option in the tools menu, now it is available a new test that checks if the example-normalized.json is a valid NGSIv2 file.
This process helps contributors to debug their data models before submit them officially (where there will be new tests before final approval)
The source code for the test is available at the repo.
Remember that if you want to improve / create a new test, just create a PR on the repo.
When you want to contribute a new data model (or an improvement in an existing one) you need to pass a test.
The current process (3rd option in tools menu) keeps on working as it was.
But we have drafted a new method because
– We need to be more explicit about the tests passed and the errors
– We need to improve the performance
So you can check the new method in the 4th option of the Tools menu
Besides this, the tests are very modular so if you are a python programmer you can use them in your own system because the code is being released or indeed you can write new tests that would be included in the official site. Make a PR on the data-models repo and we will add it eventually. Check this post.
Current test process for new and extended data models
In order to approve a new data model a test needs to be passed. It cold be accessed in the 3rd option in the tools menu at the front page:
Pro: it is currently working
Con: It is mostly created in a single file for testing and error messages are not very explicit about the errors detected
The new process
1) Every test is an independent file:
2) To test the new data model it copies to local the files and then run the tests, which is quicker.
What can you do with basic knowledge of python (or with a good AI service)
Here you can see the current files available in the github repository data-models subdirectory test_data_model
Instructions
There is a new data model InteroperableAssets in the new subject Data Space.
The data model aims at make feasible the operation between data spaces. It is create as a derivative work of the DSSC project.
Eating your own food is for SDM a demonstration that agile standardization works
We have created a new subject, SmartDataModels, where the structure of the assets of SDM will be released. We have started with the data models of Attribute according to the global data base of attributes (more than 157.000 currently, >100 MB os it takes a while to download)
The already existing U data quality assessment data model has now some metrology parameters.
– completeness
– timeliness
– accuracy
– precision
Thanks to the Waterverse project and Grigoris Stathopoulos, the contributor.
In the subject MarineTransport of the domain Smart Logistics there is a new data model (MasterVessel). Thanks to the Huelva Port Authority for its contribution.
In the subject MarineTransport of the domain Smart Logistics there is a new data model (operation). Thanks to the Huelva Port Authority for its contribution.
In the subject of the Agrifood subject there are two new data models coming from the compliance with regulations to report the operations on a parcel. Thanks to Plataforma Tierra for the contribution.
