Category: Cross Sector

In order to make easier the use of the Smart Data Models now in every repository in GitHub there is a new directory named ‘code’ that contains for the python code using the pysmartdatamodels  for the architecture in the image below.

The idea is a code that fills several attributes of the data model with suitable values and insert them into a context broker installed by default.

The code for installing an instance of the context broker is also included as comments in the header of the code

The code is generated automatically (like most of what we do)

You can see an example of this code here

https://github.com/smart-data-models/dataModel.Transportation/blob/master/EVChargingStation/code/code_for_using_dataModel.Transportation_EVChargingStation.py

Of course there could be many things that could be improved and extended. Let us know in this mail account or in the usual support channels.

In the future if there are interest we could create also in other languages. Please let us know if you have interest on this possibility.

The new version does not provide new functionalities but an indication, including drafted code, about what is missing or in progress to the package can grow according to your needs.

The source code for the new version 0.7.0 is here at the data-models repository

There are 4 new functions drafted with the headings inputs and outputs and some recommendations for development.

1) validate_payload(datamodel, subject, payload)

2) create_QR_code(datamodel, subject)

3) include_local_datamodel(schema, subject, datamodel, contributors (optional), adopters (optional), notes(optional))

4) submit_datamodel(subject, datamodel, contributors (optional), adopters (optional), notes(optional), example_payload, notes_context, public_repository, credentials)

we will be glad to receive code or questions implementing this and we will include the authorship

There is a minor new version of the package pysmartdatamodels.

Now it allows to have in the metadata of a data model the direct links to the specification in the 8 languages.

you can access thanks to the function list_datamodel_metadata and accessing the objects with the keys, spec, spec_DE, spec_ES, spec_FR, spec_IT, spec_JA, spec_KO and spec_ZH

from pysmartdatamodels import pysmartdatamodels as sdm
subject = "dataModel.Weather"
dataModel ="WeatherForecast"
metadata = sdm.list_datamodel_metadata(dataModel, subject))
print(metadata["spec_ES"]

You can install the update

pip install –upgrade pysmartdatamodels

Now in the tools menu (currently the last option) you have a complete list of the most relevant links to the assets of the data models compile in the Smart Data Models initiative.

You can check in the main menu -> Tools  -> Metadata of the data models

The information is coded in a json format and includes:

Enjoy!