From fec38deef46e6c6086878c57448b12e241cbca99 Mon Sep 17 00:00:00 2001 From: ravi-kumar-pilla Date: Thu, 14 Mar 2024 15:44:08 -0500 Subject: [PATCH 1/3] remove demo source Signed-off-by: ravi-kumar-pilla --- src/utils/data-source.js | 4 ---- 1 file changed, 4 deletions(-) diff --git a/src/utils/data-source.js b/src/utils/data-source.js index 94c4961ff9..cb52e6a41c 100644 --- a/src/utils/data-source.js +++ b/src/utils/data-source.js @@ -17,7 +17,6 @@ export const getSourceID = () => { const urlParams = new URL(document.location.href).searchParams; const dataSource = urlParams.get('data'); const { REACT_APP_DATA_SOURCE } = process.env; - const isDemo = document.location.host === 'kedro-org.github.io'; if (dataSource) { return encodeURIComponent(dataSource); @@ -25,9 +24,6 @@ export const getSourceID = () => { if (REACT_APP_DATA_SOURCE) { return REACT_APP_DATA_SOURCE; } - if (isDemo) { - return 'demo'; - } return 'json'; }; From 193a9988a9c1fb561f5e639191aa0134f9708fc7 Mon Sep 17 00:00:00 2001 From: ravi-kumar-pilla Date: Thu, 14 Mar 2024 15:57:56 -0500 Subject: [PATCH 2/3] add release note Signed-off-by: ravi-kumar-pilla --- RELEASE.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/RELEASE.md b/RELEASE.md index 2b2cc4118e..92fc31843b 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -5,6 +5,12 @@ Please follow the established format: - Use present tense (e.g. 'Add new feature') - Include the ID number for the related PR (or PRs) in parentheses --> +# Upcoming Release + +## Bug fixes and other changes + +- Remove demo data source. (#1804) + # Release 8.0.1 ## Bug fixes and other changes From 69a9a330ae0070e0ebc0f2bc41f67ebbf6e18284 Mon Sep 17 00:00:00 2001 From: ravi-kumar-pilla Date: Thu, 14 Mar 2024 16:11:51 -0500 Subject: [PATCH 3/3] update release note and update feature hint links Signed-off-by: ravi-kumar-pilla --- RELEASE.md | 2 +- src/components/feature-hints/feature-hints-content.js | 10 +++++----- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 92fc31843b..43d061f371 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -9,7 +9,7 @@ Please follow the established format: ## Bug fixes and other changes -- Remove demo data source. (#1804) +- Remove demo data source and update feature hints. (#1804) # Release 8.0.1 diff --git a/src/components/feature-hints/feature-hints-content.js b/src/components/feature-hints/feature-hints-content.js index 624f7167ae..6015ebf52f 100644 --- a/src/components/feature-hints/feature-hints-content.js +++ b/src/components/feature-hints/feature-hints-content.js @@ -2,9 +2,9 @@ export const featureHintsContent = [ { title: 'Publish and share Kedro-Viz', description: - 'You can publish Kedro-Viz and share it with others by hosting your project on Amazon S3, making sharing with collaborators and stakeholders easier and faster.', + 'You can publish Kedro-Viz and share it with others by hosting your project on AWS S3, Azure Blob Storage and GCP Cloud Storage, making sharing with collaborators and stakeholders easier and faster.', learnMoreLink: - 'https://docs.kedro.org/en/latest/visualisation/share_kedro_viz.html', + 'https://docs.kedro.org/projects/kedro-viz/en/stable/share_kedro_viz.html', elementId: '.pipeline-menu-button--deploy', }, { @@ -12,7 +12,7 @@ export const featureHintsContent = [ description: 'View a small preview of datasets by clicking on a node and opening the metadata panel. The ability to expand to view a larger preview is also possible when the panel is open. Along with a preview, there will also be information about your dataset, such as the file path and the dataset type.', learnMoreLink: - 'https://docs.kedro.org/en/latest/visualisation/preview_datasets.html', + 'https://docs.kedro.org/projects/kedro-viz/en/stable/preview_datasets.html', elementId: '#nodes .pipeline-node--data:first-of-type .pipeline-node__bg', }, { @@ -20,7 +20,7 @@ export const featureHintsContent = [ description: 'Kedro-Viz supports integration with Plotly and Matplotlib in order to make interactive visualisations of a Kedro project.', learnMoreLink: - 'https://docs.kedro.org/en/stable/visualisation/visualise_charts_with_plotly.html', + 'https://docs.kedro.org/projects/kedro-viz/en/stable/preview_plotly_datasets.html', elementId: '.pipeline-node__bg--plotly', image: 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', @@ -30,7 +30,7 @@ export const featureHintsContent = [ description: 'Experiment tracking is the process of saving all the metadata related to an experiment each time you run it. It enables you to compare different runs of a machine-learning model as part of the experimentation process.', learnMoreLink: - 'https://docs.kedro.org/en/stable/experiment_tracking/index.html', + 'https://docs.kedro.org/projects/kedro-viz/en/stable/experiment_tracking.html', elementId: '#experiment-tracking-nav-button', image: 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',