{"id":1748,"date":"2021-02-24T09:51:39","date_gmt":"2021-02-24T08:51:39","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=1748"},"modified":"2021-02-22T14:56:05","modified_gmt":"2021-02-22T13:56:05","slug":"extended-the-data-model-weatherforecast","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/extended-the-data-model-weatherforecast\/","title":{"rendered":"Extended the data model WeatherForecast"},"content":{"rendered":"<p>the data model for <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Weather\/tree\/master\/WeatherForecast\">WeatherForecast<\/a> of the <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Weather\">datamodel.Weather<\/a> is being extended with the property:<\/p>\n<ul>\n<li>precipitation: Amount of water rain expected.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>the data model for WeatherForecast of the datamodel.Weather is being extended with the property: precipitation: Amount of water rain expected. <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/extended-the-data-model-weatherforecast\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[105,107,113,125],"tags":[],"class_list":["post-1748","post","type-post","status-publish","format-standard","hentry","category-cross-sector","category-smart-cities","category-smart-environment","category-smartdestinations"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":2014,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-interactive-specification\/","url_meta":{"origin":1748,"position":0},"title":"Updated interactive specification","author":"maestro","date":"02\/04\/2021","format":false,"excerpt":"Now all data models have an interactive specification. (As long as they have examples) This is the first step to deeper interactive services for every data model contributed. See the example for weatherForecast.","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\/2021\/04\/weatherforecast.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/weatherforecast.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/weatherforecast.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/weatherforecast.png?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/weatherforecast.png?resize=1050%2C600&ssl=1 3x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/weatherforecast.png?resize=1400%2C800&ssl=1 4x"},"classes":[]},{"id":10005,"url":"https:\/\/smartdatamodels.org\/index.php\/new-sections-in-readme\/","url_meta":{"origin":1748,"position":1},"title":"New Sections in README","author":"maestro","date":"20\/10\/2023","format":false,"excerpt":"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\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\/2023\/10\/Screenshot-2023-10-18-at-18.32.18-1024x812.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-18-at-18.32.18-1024x812.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-18-at-18.32.18-1024x812.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/10\/Screenshot-2023-10-18-at-18.32.18-1024x812.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":10306,"url":"https:\/\/smartdatamodels.org\/index.php\/minor-extension-of-pysmartdatamodels-0-6-4-1\/","url_meta":{"origin":1748,"position":2},"title":"Minor extension of pysmartdatamodels 0.6.4.1","author":"maestro","date":"28\/02\/2024","format":false,"excerpt":"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,\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\/02\/pysdm_0.6.4.1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":10291,"url":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-pysmartdatamodels-package-0-6-4-with-adaptations-to-data-spaces\/","url_meta":{"origin":1748,"position":3},"title":"New version of pysmartdatamodels package 0.6.4 with adaptations to Data Spaces","author":"maestro","date":"26\/02\/2024","format":false,"excerpt":"There is a new version of the python package pysmartdatamodels to use it you have just to type pip install pysmartdatamodels in your system Besides the update in the list of data models it includes two new functions - look_for_data_model that allows approximate searches for a data model based on\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\/02\/pysmartdatamodels_0.6.4.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1641,"url":"https:\/\/smartdatamodels.org\/index.php\/create-your-data-model-with-a-google-spreadsheet\/","url_meta":{"origin":1748,"position":4},"title":"Create your data model with a google spreadsheet","author":"maestro","date":"15\/02\/2021","format":false,"excerpt":"NEW VERSION!! This post became obsolete, go for the new master sheet \u00a0 This is a resource, especially for those who have limited knowledge of JSON schema. 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This file contains the @context with automatically generated IRI for the terms used in the data model. The Entity types are also available in this file with their long IRI.\u00a0 In the pointed\u2026","rel":"","context":"In &quot;Governance&quot;","block_context":{"text":"Governance","link":"https:\/\/smartdatamodels.org\/index.php\/category\/governance\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/01\/favicon.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1748","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=1748"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1748\/revisions"}],"predecessor-version":[{"id":1749,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1748\/revisions\/1749"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=1748"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=1748"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=1748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}