New pysmartdatamodels package 0.6.3 Release

We are thrilled to announce the latest update to pysmartdatamodels Python package, version 0.6.3, featuring a new function: generate_sql_schema()This addition enabling seamless generation of SQL schemas with just a few lines of code!

Introducing  generate_sql_schemqa() Function:

With the new function, generate_sql_schemqa()  pysmartdatamodels simplifies the process of creating SQL schemas for your data models by providing as input the model.yaml representation of a Smart Data Model.

Korean translation available for all data models

The Korean translation of the specifications has been incorporated. Therefore every specification folder now it has a new file spec_KO.md with the Korean translation.

See an example:

Also the specification is linked from the README.md file at the front of every data model.

New service: Export you data models to SQL schema

We provide a service to Generate a PostgreSQL schema SQL script from the model.yaml representation of a Smart Data Model.

You can access this service under this link following Tools > SQL service.

You need to provide as input the standard GitHub link to the model.yaml file or the raw version GitHub link.

Update: Generate the schema out of your payload

We provide a service to generate JSON schemas from the example payloads you provide. This service is designed to assist contributors who may have limited experience with JSON schemas but with actual examples. You can access the service through this link.

We are pleased to announce that we have made some updates to this service::

  • Added support for generating sub-property descriptions
  • Fixed the bug of duplicated property generation

Please feel free to try it out and leave your comments on info@smartdatamodels.org.

New Sections in README

We have introduced several new sections in the README.md for all the smart data models that we’ve published

These are:

  • Links to CSV extensions of example payloads
  • Links to SQL schema
  • Services we designed to help self-contribution

Such as in the data model WeatherForecast:

Hope you find it useful and feel free to make your comments on info@smartdatamodels.org.

DCAT-AP catalogue service in beta version

DCAT-AP is, possibly, the most relevant standard of a catalogue of datasets (even resources as well). A data spaces’ data models’ building block needs a semantic catalogue of resources in DCAT-AP format.

Here you have the beta version of a service providing a DCAT-AP catalogue containing all semantic resources of Smart Data Models.

You just connect to this URL and you can get it. It will be updated once a day and whenever a data model is published.

You can also reach it at home -> tools -> DCAT-AP catalog (last option)

As long as the catalogue and its structure can be enriched I’d like to hear from you any comments / additions and critics you wish / need at info@smartdatamodels.org

So you can enrich it before the official release

New data models ProcessQueue, QueueType, TerminalAreaLocation, TerminalFacility, ZoneAreaLocation

New data models for the passenger waiting list are mapped in the ACRIS subject from Smart Aeronautics domain.

  • PassengerQueue. Property. Information about the Passenger Party Queue. A line of people waiting to pass through the security checkpoint process.
  • QueueType. Property. Information about the type of a Passenger Queue. Values can be: Pre-Check, Private, Economy, Priority, KnownCrewMember.

  • TerminalAreaLocation. Property. The geospatial or geopolitical location of an Airport Terminal building.

  • TerminalFacility. Property. Information about an Airport Terminal as buildings or infrastructure used to provide services.

  • ZoneAreaLocation. Property. The geospatial or geopolitical location of a Queuing Zone in a Terminal.

Split Airport new terminal main hall

New data models for ACRIS subject (airports) OperationTimePeriod, PassengerProcess, PassengerProcessType, QueueLocation, QueueMeasurement, QueueStatus

New data models for the passenger waiting list are mapped in the ACRIS subject from Smart Aeronautics domain.

  • OperationTimePeriod. Property. The time period over which the Checkpoint is operating.

  • PassengerProcess. Property. Information about the Passenger Party Process.

  • PassengerProcessType. Property. Information about the type of Passenger Party Process.

  • QueueLocation. Property. The geospatial or geopolitical location of a Passenger Queue.

  • QueueMeasurement. Property. Information about the measurements (observations) of particular Measures of a Passenger Queue.

  • QueueStatus. Property. Information about the status of a Passenger Queue. Values can be: Open, Closed.

17-12-14-Flughafen-Madrid-Barajas-RalfR-DSCF1008

New Version of the Python Package pysmartdatamodels 0.6.1

There is a new version of the python package for pysmartdatamodels 0.6.1.

This python package includes all the data models and several functions to use them in your developments.

Changelog:

– Two updated functions

  • New extension for function update_broker() to allow updating nonexistent attribute into broker
  • Function validate_data_model_schema(), with wider range of validation

– Minor changes on providing links of repository, issues, updating on latest statistics, etc.

Get more details on the pypi page and feel free to try it out!

New data models in the ACRIS subject CheckpointFacility, CheckpointFacilityOperatorParty, CheckpointFacilityType, ConcourseFacility, and MeasurementDevice

New data models for the passenger waiting list are mapped in the ACRIS subject from Smart Aeronautics domain.

  • CheckpointFacility. Property. Information about a Checkpoint in an Airport used to provide services. A Checkpoint facility is any facility where customers and passengers turn up and need to be processed, serviced or screened before proceeding to the next stage of their journey.

  • CheckpointFacilityOperatorParty. Property. Information that describes the Party responsible for the operation of a Checkpoint in an Airport.

  • CheckpointFacilityType. Property. Information that describes the classification for a Checkpoint in an Airport. Values are: Security Screening, Customs.

  • ConcourseFacility. Property. Information about an Airport Concourse as buildings or infrastructure used to provide services.

  • MeasurementDevice. Property. Information about the device (equipment) used to take measurements (observations).

Tokyo-International-Airport Runway-B