Support blueprints in autodeployment.

* Create a blueprint reconciler to autodeploy and reconcile
blueprints.

  * The reconciler decides whether we need to deploy a new blueprint
    and if it does it creates a Tekton PipelineRun to deploy Kubeflow.

* Here are some differences in how we are deploying blueprints vs. kfctl
  deployments

  * We are using Tekton PipelineRuns as opposed to K8s jobs to do the
    deployment

  * We no longer use deployments.yaml to describe the group of deployments.
    Instead we just create a PipelineRun.yaml and that provides all
    the information the reconciler needs e.g. the branch to watch
    for changes.

* Update the flask app to provide information about blueprints.
  * Include a link to the Tekton dashboard showing the PipelineRun
    that deployed Kubeflow.

* Define a Pipeline to deploy Kubeflow so we don't have to inline the
  spec in the PipelienRun.

* Remove Dockerfile.skaffold; we can use skaffold auto-sync in developer mode. Add a column in the webserver to redirect to the Tekton dashboard for the PipelineRun that deployed it.

* GoogleCloudPlatform/kubeflow-distribution#5 Setup autodeploy for gcp blueprints.

acm-repo/namespaces/auto-deploy/tekton.dev_v1alpha1_pipeline_deploy-gcp-blueprint.yaml

@@ -0,0 +1,42 @@
+apiVersion: tekton.dev/v1alpha1
+kind: Pipeline
+metadata:
+  name: deploy-gcp-blueprint
+  namespace: auto-deploy
+spec:
+  params:
+  - default: kf-vbp-{uid}
+    description: The name for the Kubeflow deployment
+    name: name
+    type: string
+  - default: kf-ci-management
+    description: The name of the management cluster.
+    name: management-cluster-name
+    type: string
+  - default: kubeflow-ci-deployment
+    description: The project to deploy into
+    name: project
+    type: string
+  resources:
+  - name: testing-repo
+    type: git
+  - name: blueprint-repo
+    type: git
+  tasks:
+  - name: deploy-gcp
+    params:
+    - name: name
+      value: $(params.name)
+    - name: project
+      value: $(params.project)
+    - name: management-cluster-name
+      value: $(params.management-cluster-name)
+    resources:
+      inputs:
+      - name: blueprint-repo
+        resource: blueprint-repo
+      - name: testing-repo
+        resource: testing-repo
+    taskRef:
+      kind: namespaced
+      name: deploy-gcp-blueprint

acm-repo/namespaces/auto-deploy/tekton.dev_v1alpha1_task_deploy-gcp-blueprint.yaml

@@ -35,6 +35,11 @@ spec:
     - description: The GitHub repo containing the blueprint
       name: blueprint-repo
       type: git
+  stepTemplate:
+    env:
+    - name: KUBECONFIG
+      value: /workspace/kubeconfig
+    image: gcr.io/kubeflow-ci/test-worker-py3@sha256:b679ce5d7edbcc373fd7d28c57454f4f22ae987f200f601252b6dcca1fd8823b
   steps:
   - command:
     - /workspace/$(inputs.resources.blueprint-repo.name)/kubeflow/hack/create_context.sh
@@ -45,11 +50,8 @@ spec:
       value: $(inputs.params.management-location)
     - name: NAME
       value: $(inputs.params.management-cluster-name)
-    - name: KUBECONFIG
-      value: /workspace/kubeconfig
     - name: NAMESPACE
       value: $(inputs.params.project)
-    image: gcr.io/kubeflow-ci/test-worker-py3@sha256:b679ce5d7edbcc373fd7d28c57454f4f22ae987f200f601252b6dcca1fd8823b
     name: get-credential
   - command:
     - python
@@ -59,11 +61,19 @@ spec:
     - --name=$(inputs.params.name)
     - --blueprint-dir=/workspace/$(inputs.resources.blueprint-repo.name)/kubeflow
     - --management-context=$(inputs.params.management-cluster-name)
+    - --labels-file=/etc/podinfo/labels
     env:
-    - name: KUBECONFIG
-      value: /workspace/kubeconfig
     - name: PYTHONPATH
       value: /workspace/$(inputs.resources.testing-repo.name)/py
-    image: gcr.io/kubeflow-ci/test-worker-py3@sha256:b679ce5d7edbcc373fd7d28c57454f4f22ae987f200f601252b6dcca1fd8823b
     name: deploy-gcp
+    volumeMounts:
+    - mountPath: /etc/podinfo
+      name: podinfo
     workingDir: /workspace/$(inputs.resources.blueprint-repo.name)/kubeflow
+  volumes:
+  - downwardAPI:
+      items:
+      - fieldRef:
+          fieldPath: metadata.labels
+        path: labels
+    name: podinfo