Merge pull request opendatahub-io#55 from gmfrasca/update-frontend-references

chore(frontend) - Update GitHub References in UI to use Data Science Pipelines nomenclature

Author: anishasthana

backend/src/apiserver/config/sample_config.json

@@ -1,7 +1,7 @@
 [
   {
     "name": "[Demo] flip-coin",
-    "description": "[source code](https://github.com/opendatahub-io/ml-pipelines/tree/master/samples/flip-coin) A conditional pipeline to flip coins based on a random number generator.",
+    "description": "[source code](https://github.com/opendatahub-io/data-science-pipelines/tree/master/samples/flip-coin) A conditional pipeline to flip coins based on a random number generator.",
     "file": "/samples/flip-coin/condition.yaml"
   }
 ]

frontend/public/index.html

@@ -21,7 +21,7 @@
     <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
     <meta name="theme-color" content="#000000">
     <link rel="shortcut icon" href="%PUBLIC_URL%/static/favicon.ico">
-    <title>Kubeflow Pipelines</title>
+    <title>Data Science Pipelines</title>
     <script>
       window.KFP_FLAGS={};
       window.KFP_FLAGS.DEPLOYMENT=null;

frontend/server/package.json

@@ -1,5 +1,5 @@
 {
-  "description": "Frontend webserver package for Kubeflow Pipelines",
+  "description": "Frontend webserver package for Data Science Pipelines",
   "main": "server.js",
   "dependencies": {
     "@google-cloud/storage": "^2.5.0",

frontend/src/components/Graph.test.tsx

@@ -165,7 +165,7 @@ describe('Graph', () => {
     const [message, additionalInfo] = onError.mock.calls[0];
     expect(message).toEqual('There was an error rendering the graph.');
     expect(additionalInfo).toEqual(
-      "There was an error rendering the graph. This is likely a bug in Kubeflow Pipelines. Error message: 'Graph definition is invalid. Cannot get node by 'node1'.'.",
+      "There was an error rendering the graph. This is likely a bug in Data Science Pipelines. Error message: 'Graph definition is invalid. Cannot get node by 'node1'.'.",
     );
   });
 });

frontend/src/components/Graph.tsx

@@ -119,7 +119,7 @@ class GraphErrorBoundary extends React.Component<GraphErrorBoundaryProps> {
 
   componentDidCatch(error: Error): void {
     const message = 'There was an error rendering the graph.';
-    const additionalInfo = `${message} This is likely a bug in Kubeflow Pipelines. Error message: '${error.message}'.`;
+    const additionalInfo = `${message} This is likely a bug in Data Science Pipelines. Error message: '${error.message}'.`;
     if (this.props.onError) {
       this.props.onError(message, additionalInfo);
     }

frontend/src/components/Router.tsx

@@ -133,8 +133,8 @@ export const RoutePageFactory = {
 
 export const ExternalLinks = {
   DOCUMENTATION: 'https://www.kubeflow.org/docs/pipelines/sdk/pipelines-with-tekton/',  // TODO: update?
-  GITHUB: 'https://github.com/opendatahub-io/ml-pipelines',
-  GITHUB_ISSUE: 'https://github.com/opendatahub-io/ml-pipelines/issues/new/choose',
+  GITHUB: 'https://github.com/opendatahub-io/data-science-pipelines',
+  GITHUB_ISSUE: 'https://github.com/opendatahub-io/data-science-pipelines/issues/new/choose',
 };
 
 export interface DialogProps {

frontend/src/components/SideNav.tsx

@@ -234,7 +234,7 @@ export class SideNav extends React.Component<SideNavInternalProps, SideNavState>
         tagName: tagName || 'unknown',
         commitHash: commitHash ? commitHash.substring(0, 7) : 'unknown',
         commitUrl:
-          'https://www.github.com/opendatahub-io/ml-pipelines' +
+          'https://www.github.com/opendatahub-io/data-science-pipelines' +
           (commitHash && commitHash !== 'unknown' ? `/commit/${commitHash}` : ''),
         date: buildInfo.buildDate
           ? new Date(buildInfo.buildDate).toLocaleDateString('en-US')

manifests/opendatahub/README.md

@@ -1,6 +1,6 @@
 # ML Pipelines
 
-ML Pipelines is the Open Data Hub's pipeline solution for data scientists. It is built on top of the upstream [Kubeflow Piplines](https://github.com/kubeflow/pipelines) and [kfp-tekton](https://github.com/kubeflow/kfp-tekton) projects. The Open Data Hub community has a [fork](https://github.com/opendatahub-io/ml-pipelines) of this upstream under the Open Data Hub org.
+ML Pipelines is the Open Data Hub's pipeline solution for data scientists. It is built on top of the upstream [Kubeflow Piplines](https://github.com/kubeflow/pipelines) and [kfp-tekton](https://github.com/kubeflow/kfp-tekton) projects. The Open Data Hub community has a [fork](https://github.com/opendatahub-io/data-science-pipelines) of this upstream under the Open Data Hub org.
 
 
 ## Installation