{"id":9905,"date":"2023-10-09T14:04:48","date_gmt":"2023-10-09T12:04:48","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=9905"},"modified":"2023-10-09T14:04:48","modified_gmt":"2023-10-09T12:04:48","slug":"new-version-of-the-python-package-pysmartdatamodels-0-6-1","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-the-python-package-pysmartdatamodels-0-6-1\/","title":{"rendered":"New Version of the Python Package pysmartdatamodels 0.6.1"},"content":{"rendered":"<div class=\"mceTemp\"><\/div>\n<p>There is a new version of the python package for <a href=\"https:\/\/pypi.org\/project\/pysmartdatamodels\/\">pysmartdatamodels 0.6.1<\/a>.<\/p>\n<p>This python package includes all the data models and several functions to use them in your developments.<\/p>\n<p>Changelog:<\/p>\n<p>&#8211; Two updated functions<\/p>\n<ul>\n<li>New extension for function update_broker() to allow updating nonexistent attribute into broker<\/li>\n<li>Function validate_data_model_schema(), with wider range of validation<\/li>\n<\/ul>\n<p>&#8211; Minor changes on providing links of repository, issues, updating on latest statistics, etc.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-9907\" src=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-09-at-13.59.19-1024x685.png\" alt=\"\" width=\"920\" height=\"615\" srcset=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-09-at-13.59.19-1024x685.png 1024w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-09-at-13.59.19-300x201.png 300w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-09-at-13.59.19-768x514.png 768w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-09-at-13.59.19-1536x1027.png 1536w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-09-at-13.59.19-2048x1370.png 2048w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-09-at-13.59.19-523x350.png 523w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-09-at-13.59.19-150x100.png 150w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-09-at-13.59.19-1320x883.png 1320w\" sizes=\"auto, (max-width: 920px) 100vw, 920px\" \/><\/p>\n<p>Get more details on the pypi page and feel free to try it out!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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: &#8211; Two updated functions New extension for function update_broker() to allow updating nonexistent attribute into broker Function validate_data_model_schema(), with wider&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/new-version-of-the-python-package-pysmartdatamodels-0-6-1\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[105,107,109,113,115,119,117,88,143,111,125,182,201],"tags":[],"class_list":["post-9905","post","type-post","status-publish","format-standard","hentry","category-cross-sector","category-smart-cities","category-smart-energy-domain","category-smart-environment","category-smart-manufacturing","category-smart-robotics","category-smart-water","category-smart-sensoring","category-smartaeronautics","category-smart-agrifood","category-smartdestinations","category-smarthealth","category-smartlogistics"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":10356,"url":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-pysmartdatamodels-python-package-0-7-1\/","url_meta":{"origin":9905,"position":0},"title":"New version of pysmartdatamodels python package 0.7.1","author":"maestro","date":"07\/05\/2024","format":false,"excerpt":"The changes in this new version are: - Including new function validate_dcat_ap_distribution_sdm - Updating the comments of most of the functions - Some code improvements by jilin.he@fiware.org - Included a new directory with templates for the creation of a data model. Not used yet but next version they will be\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2024\/05\/pysmartdatamodels_0.7.1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":9334,"url":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-the-python-package-pysmartdatamodels-0-6-0\/","url_meta":{"origin":9905,"position":1},"title":"New Version of the Python Package pysmartdatamodels 0.6.0","author":"maestro","date":"01\/08\/2023","format":false,"excerpt":"There is a new version of the python package for pysmartdatamodels 0.6.0. This python package includes all the data models and several functions to use them in your developments. Changelog: - Four new functions New functions to generate fake example files given the schema payload of the data model in\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"pysmartdatamodels 0.6.0","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/08\/Screenshot-2023-08-01-at-09.34.53-300x162.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/08\/Screenshot-2023-08-01-at-09.34.53-300x162.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/08\/Screenshot-2023-08-01-at-09.34.53-300x162.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":10131,"url":"https:\/\/smartdatamodels.org\/index.php\/new-pysmartdatamodels-package-0-6-3-release\/","url_meta":{"origin":9905,"position":2},"title":"New pysmartdatamodels package 0.6.3 Release","author":"maestro","date":"02\/11\/2023","format":false,"excerpt":"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\u00a0 generate_sql_schemqa() Function: With the new function, generate_sql_schemqa()\u00a0 pysmartdatamodels simplifies the process of creating SQL schemas for\u2026","rel":"","context":"In &quot;Smart Cities domain&quot;","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":8176,"url":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-pysmartdatamodels-0-5-41\/","url_meta":{"origin":9905,"position":3},"title":"New version of pysmartdatamodels 0.5.41","author":"maestro","date":"30\/01\/2023","format":false,"excerpt":"There is a new version of the python package for smart data models\u00a0 pysmartdatamodels 0.5.41 Changelog: - The README include now the basic documentation of each function New function to load in a dictionary all subjects and their data models, with their repository link, and related domains New function to\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":32544,"url":"https:\/\/smartdatamodels.org\/index.php\/new-pysmartdatamodels-version-0-8-0-9-updated-to-1066-data-models\/","url_meta":{"origin":9905,"position":4},"title":"New pysmartdatamodels Version 0.8.0.9. Updated to 1066 data models","author":"maestro","date":"09\/03\/2026","format":false,"excerpt":"We are thrilled to announce a significant new release of our Python package, pysmartdatamodels, designed to empower developers and streamline the contribution process for our community. This update is packed with new data models till 6-3-26. Yo do not need to update the package if you use the function it\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/03\/Screenshot-from-2026-03-07-20-55-08.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/03\/Screenshot-from-2026-03-07-20-55-08.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/03\/Screenshot-from-2026-03-07-20-55-08.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":10376,"url":"https:\/\/smartdatamodels.org\/index.php\/version-0-8-of-the-pysmartdatamodels-package\/","url_meta":{"origin":9905,"position":5},"title":"Version 0.8 of the pysmartdatamodels package","author":"maestro","date":"24\/05\/2024","format":false,"excerpt":"Due to the new configuration of files of the package pysmartdatamodels it will be no longer required to use the from clause (initially) Therefore now to import the package in python it will be simply import pysmartdatamodels as sdm Accordingly the examples of code in all data models are being\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2024\/05\/pysdm0.8.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/9905","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=9905"}],"version-history":[{"count":3,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/9905\/revisions"}],"predecessor-version":[{"id":9909,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/9905\/revisions\/9909"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=9905"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=9905"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=9905"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}