test: add a runtime-env test that uses conda to inject dependencies

Author: starpit

.github/workflows/kind.yml

@@ -12,9 +12,16 @@ jobs:
 
     strategy:
       matrix:
+        profile:
+          - non-gpu1/keep-it-simple
+          - non-gpu2/keep-it-simple
+          - non-gpu3/keep-it-simple
+          - non-gpu1/ray-autoscaler
+          - non-gpu1/mcad-default
+          - non-gpu1/mcad-coscheduler
+          - non-gpu1/mcad-preinstalled
         os: [ubuntu-latest]
         node-version: [16.x]
-        profile: [non-gpu1/keep-it-simple, non-gpu2/keep-it-simple, non-gpu1/ray-autoscaler, non-gpu1/mcad-default, non-gpu1/mcad-coscheduler, non-gpu1/mcad-preinstalled]
 
     steps:
     - uses: actions/checkout@v3

package-lock.json

@@ -114,7 +114,6 @@
     "typescript": "4.7.4"
   },
   "dependencies": {
-    "@guidebooks/store": "^0.3.3",
     "@kui-shell/client": "file:./plugins/plugin-client-default",
     "@kui-shell/core": "11.5.0-dev-20220807-191654",
     "@kui-shell/plugin-bash-like": "11.5.0-dev-20220807-191654",

package.json

@@ -23,6 +23,7 @@
     "access": "public"
   },
   "dependencies": {
-    "madwizard": "^0.19.1"
+    "madwizard": "^0.19.3",
+    "@guidebooks/store": "^0.4.0"
   }
 }

plugins/plugin-madwizard/package.json

@@ -0,0 +1 @@
+Same as ../qiskit, but using a runtime-env.yaml rather than a requirements.txt to specify pip dependencies via conda.

tests/kind/inputs/qiskit-runtime-env-with-conda/README.md

@@ -0,0 +1 @@
+../qiskit/main.py

tests/kind/inputs/qiskit-runtime-env-with-conda/main.py

@@ -0,0 +1,6 @@
+name: qiskit
+conda:
+  dependencies:
+    - pip
+    - pip:
+        - qiskit==0.37.0

tests/kind/inputs/qiskit-runtime-env-with-conda/runtime-env.yaml

@@ -5,3 +5,4 @@
 - gpu1: Uses tests/kind/inputs/ray-tune-tutorial. GPU: yes
 - non-gpu1: Uses tests/kind/inputs/qiskit with a requirements.txt. GPU: no
 - non-gpu2: Ibid, but with a runtime-env.yaml that specifies pips. GPU: no
+- non-gpu3: Ibid, but with a runtime-env.yaml that specifies conda pip dependencies. GPU: no

tests/kind/profiles/README.md

@@ -0,0 +1,24 @@
+{
+  "name": "keep-it-simple",
+  "creationTime": 1660657756574,
+  "lastModifiedTime": 1660658307175,
+  "lastUsedTime": 1660742079201,
+  "choices": {
+    "madwizard/apriori/use-gpu": "don't use gpus",
+    "madwizard/apriori/arch": "x64",
+    "madwizard/apriori/platform": "darwin",
+    "madwizard/apriori/mac-installer": "Homebrew",
+    "madwizard/apriori/in-terminal": "HTML",
+    "Start a new Run####Connect Dashboard to an existing Run####Boot up a Cloud Computer####Shut down a Cloud Computer": "Start a new Run",
+    "Training Demos####Fine Tuning Demos####Bring Your Own Code": "Bring Your Own Code",
+    "BERT####MLFlow Demo####Tensorboard Demo": "MLFlow Demo",
+    "Location of your working directory": "{\"Location of your working directory\":\"tests/kind/inputs/qiskit-runtime-env-with-conda\"}",
+    "Provide custom base image, if any": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}",
+    "AWS####IBM####My data is not stored in S3": "My data is not stored in S3",
+    "Run Locally####Run on a Kubernetes Cluster": "Run on a Kubernetes Cluster",
+    "expand((kubectl config get-contexts -o name | grep -E . >& /dev/null && kubectl config get-contexts -o name) || (kubectl version | grep Server >& /dev/null && echo \"${KUBE_CONTEXT_FOR_TEST-In-cluster}\" || exit 1), Kubernetes contexts)": "kind-codeflare-test",
+    "expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$([ -n \"$KUBE_NS_FOR_TEST\" ] && echo $KUBE_NS_FOR_TEST || kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
+    "Number of CPUs####Number of GPUs####Minimum Workers####Maximum Workers####Worker Memory####Head Memory": "{\"Number of CPUs\":\"500m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"1.5Gi\",\"Head Memory\":\"1.5Gi\"}",
+    "Keep It Simple####Use the Ray Autoscaler####Use the Multi-user Enhanced Kubernetes Scheduler": "Keep It Simple"
+  }
+}