Refactor imports and remove unused code in ArtifactDetails.spec.tsx a…

…nd ArtifactsTable.spec.tsx Add TestArtifacts component to GlobalPipelineExperimentsRoutes Refactor ConfusionMatrix component to improve readability and styling Add ConfusionMatrix component and buildConfusionMatrixConfig function Add ConfusionMatrix and ROCCurve components Remove TestArtifacts component and update related routes Refactor ROC curve table components, update imports, and remove unnecessary code Refactor ConfusionMatrixSelect component and add skeleton loading Refactor ROC curve table components and update imports Refactor ROC curve table components and add related constants Refactor ROC curve table components and add related constants Refactor CompareRunsMetricsSection component, update imports, and remove console.log statements Refactor CompareRunsMetricsSection component, update imports, and add ROC curve tab Refactor Dockerfile to use linux/amd64 platform Refactor CompareRunsMetricsSection component, update imports, and add confusion matrix tab Refactor CompareRunsMetricsSection component, add MetricSectionTabLabels enum, and update related types and imports Refactor CompareRunsMetricsSection component, add MetricSectionTabLabels enum, and update related types and imports Refactor CompareRunsMetricsSection component and add MetricSectionTabLabels enum Refactor and remove unused code in usePipelinesUiRoute.ts and ArtifactUriLink.tsx Refactor MLMD API hooks and remove unused code Refactor components to improve readability and add loading spinners Refactor components to improve readability and add loading spinners clean up
opendatahub-io · May 10, 2024 · 9a969fb · 9a969fb
1 parent 424378e
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diff --git a/frontend/src/concepts/pipelines/apiHooks/mlmd/types.ts b/frontend/src/concepts/pipelines/apiHooks/mlmd/types.ts
@@ -1,4 +1,5 @@
-import { Artifact, Context, ContextType, Event } from '~/third_party/mlmd';
+import { Artifact, Context, ContextType, Event, Execution } from '~/third_party/mlmd';
+import { PipelineRunKFv2 } from '~/concepts/pipelines/kfTypes';
 
 export type MlmdContext = Context;
 
@@ -8,9 +9,20 @@ export enum MlmdContextTypes {
   RUN = 'system.PipelineRun',
 }
 
-// An artifact which has associated event.
-// You can retrieve artifact name from event.path.steps[0].key
-export interface LinkedArtifact {
+// each artifact is linked to an event
+export type LinkedArtifact = {
   event: Event;
   artifact: Artifact;
-}
+};
+
+// each execution can have multiple output artifacts
+export type ExecutionArtifact = {
+  execution: Execution;
+  linkedArtifacts: LinkedArtifact[];
+};
+
+// each run has multiple executions, each execution can have multiple artifacts
+export type RunArtifact = {
+  run: PipelineRunKFv2;
+  executionArtifacts: ExecutionArtifact[];
+};
diff --git a/frontend/src/concepts/pipelines/apiHooks/mlmd/useGetArtifactById.ts b/frontend/src/concepts/pipelines/apiHooks/mlmd/useGetArtifactById.ts
@@ -0,0 +1,25 @@
+import React from 'react';
+
+import { usePipelinesAPI } from '~/concepts/pipelines/context';
+import { Artifact, GetArtifactsByIDRequest } from '~/third_party/mlmd';
+import useFetchState, { FetchState } from '~/utilities/useFetchState';
+
+export const useGetArtifactById = (
+  artifactId: number,
+  refreshRate?: number,
+): FetchState<Artifact | undefined> => {
+  const { metadataStoreServiceClient } = usePipelinesAPI();
+
+  const fetchArtifact = React.useCallback(async () => {
+    const request = new GetArtifactsByIDRequest();
+    request.setArtifactIdsList([artifactId]);
+
+    const response = await metadataStoreServiceClient.getArtifactsByID(request);
+
+    return response.getArtifactsList()[0];
+  }, [artifactId, metadataStoreServiceClient]);
+
+  return useFetchState(fetchArtifact, undefined, {
+    refreshRate,
+  });
+};
diff --git a/frontend/src/concepts/pipelines/apiHooks/mlmd/useGetArtifactTypes.ts b/frontend/src/concepts/pipelines/apiHooks/mlmd/useGetArtifactTypes.ts
@@ -1,22 +1,18 @@
 import React from 'react';
 import { usePipelinesAPI } from '~/concepts/pipelines/context';
-import { GetArtifactTypesRequest } from '~/third_party/mlmd';
+import { ArtifactType, GetArtifactTypesRequest } from '~/third_party/mlmd';
 import useFetchState, { FetchState, FetchStateCallbackPromise } from '~/utilities/useFetchState';
 
-export const useGetArtifactTypeMap = (): FetchState<Record<number, string>> => {
+export const useGetArtifactTypes = (): FetchState<ArtifactType[]> => {
   const { metadataStoreServiceClient } = usePipelinesAPI();
 
-  const call = React.useCallback<FetchStateCallbackPromise<Record<number, string>>>(async () => {
+  const call = React.useCallback<FetchStateCallbackPromise<ArtifactType[]>>(async () => {
     const request = new GetArtifactTypesRequest();
 
     const res = await metadataStoreServiceClient.getArtifactTypes(request);
 
-    const artifactTypeMap: Record<number, string> = {};
-    res.getArtifactTypesList().forEach((artifactType) => {
-      artifactTypeMap[artifactType.getId()] = artifactType.getName();
-    });
-    return artifactTypeMap;
+    return res.getArtifactTypesList();
   }, [metadataStoreServiceClient]);
 
-  return useFetchState(call, {});
+  return useFetchState(call, []);
 };
diff --git a/frontend/src/concepts/pipelines/apiHooks/mlmd/useGetArtifactsList.ts b/frontend/src/concepts/pipelines/apiHooks/mlmd/useGetArtifactsList.ts
@@ -0,0 +1,45 @@
+import React from 'react';
+
+import { usePipelinesAPI, useMlmdListContext } from '~/concepts/pipelines/context';
+import { Artifact, GetArtifactsRequest } from '~/third_party/mlmd';
+import { ListOperationOptions } from '~/third_party/mlmd/generated/ml_metadata/proto/metadata_store_pb';
+import useFetchState, { FetchState } from '~/utilities/useFetchState';
+
+export interface ArtifactsListResponse {
+  artifacts: Artifact[];
+  nextPageToken: string;
+}
+
+export const useGetArtifactsList = (
+  refreshRate?: number,
+): FetchState<ArtifactsListResponse | null> => {
+  const { pageToken, maxResultSize, filterQuery } = useMlmdListContext();
+  const { metadataStoreServiceClient } = usePipelinesAPI();
+
+  const fetchArtifactsList = React.useCallback(async () => {
+    const request = new GetArtifactsRequest();
+    const listOperationOptions = new ListOperationOptions();
+
+    if (filterQuery) {
+      listOperationOptions.setFilterQuery(filterQuery);
+    }
+
+    if (pageToken) {
+      listOperationOptions.setNextPageToken(pageToken);
+    }
+
+    listOperationOptions.setMaxResultSize(maxResultSize);
+    request.setOptions(listOperationOptions);
+
+    const response = await metadataStoreServiceClient.getArtifacts(request);
+
+    return {
+      artifacts: response.getArtifactsList(),
+      nextPageToken: response.getNextPageToken(),
+    };
+  }, [filterQuery, pageToken, maxResultSize, metadataStoreServiceClient]);
+
+  return useFetchState(fetchArtifactsList, null, {
+    refreshRate,
+  });
+};
diff --git a/frontend/src/concepts/pipelines/apiHooks/mlmd/useMlmdContext.ts b/frontend/src/concepts/pipelines/apiHooks/mlmd/useMlmdContext.ts
@@ -1,13 +1,28 @@
 import React from 'react';
 import { MlmdContext, MlmdContextTypes } from '~/concepts/pipelines/apiHooks/mlmd/types';
 import { usePipelinesAPI } from '~/concepts/pipelines/context';
-import { GetContextByTypeAndNameRequest } from '~/third_party/mlmd';
+import {
+  GetContextByTypeAndNameRequest,
+  MetadataStoreServicePromiseClient,
+} from '~/third_party/mlmd';
 import useFetchState, {
   FetchState,
   FetchStateCallbackPromise,
   NotReadyError,
 } from '~/utilities/useFetchState';
 
+export const getMlmdContext = async (
+  client: MetadataStoreServicePromiseClient,
+  name: string,
+  type: MlmdContextTypes,
+): Promise<MlmdContext | undefined> => {
+  const request = new GetContextByTypeAndNameRequest();
+  request.setTypeName(type);
+  request.setContextName(name);
+  const res = await client.getContextByTypeAndName(request);
+  return res.getContext();
+};
+
 /**
  * A hook used to use the MLMD service and fetch the MLMD context
  * If being used without name/type, this hook will throw an error
@@ -28,11 +43,7 @@ export const useMlmdContext = (
       return Promise.reject(new NotReadyError('No context name'));
     }
 
-    const request = new GetContextByTypeAndNameRequest();
-    request.setTypeName(type);
-    request.setContextName(name);
-    const res = await metadataStoreServiceClient.getContextByTypeAndName(request);
-    const context = res.getContext();
+    const context = await getMlmdContext(metadataStoreServiceClient, name, type);
     if (!context) {
       return Promise.reject(new Error('Cannot find specified context'));
     }

diff --git a/frontend/src/concepts/pipelines/content/artifacts/charts/ConfusionMatrix.tsx b/frontend/src/concepts/pipelines/content/artifacts/charts/ConfusionMatrix.tsx
@@ -0,0 +1,185 @@
+import React from 'react';
+import { Text } from '@patternfly/react-core';
+
+export type ConfusionMatrixInput = {
+  annotationSpecs: {
+    displayName: string;
+  }[];
+  rows: { row: number[] }[];
+};
+
+export interface ConfusionMatrixConfig {
+  data: number[][];
+  labels: string[];
+}
+
+export function buildConfusionMatrixConfig(
+  confusionMatrix: ConfusionMatrixInput,
+): ConfusionMatrixConfig {
+  return {
+    labels: confusionMatrix.annotationSpecs.map((annotation) => annotation.displayName),
+    data: confusionMatrix.rows.map((x) => x.row),
+  };
+}
+
+type ConfusionMatrixProps = {
+  config: ConfusionMatrixConfig;
+  size?: number;
+};
+
+const ConfusionMatrix: React.FC<ConfusionMatrixProps> = ({
+  config: { data, labels },
+  size = 100,
+}) => {
+  const max = Math.max(...data.flat());
+
+  // Function to get color based on the cell value
+  const getColor = (value: number) => {
+    const opacity = value / max; // Normalize the value to get opacity
+    return `rgba(41, 121, 255, ${opacity})`; // Use blue color with calculated opacity
+  };
+
+  // Determine the size for all cells, including labels
+  const cellSize = `${size}px`;
+
+  // Generate the gradient for the legend
+  const gradientLegend = `linear-gradient(to bottom, rgba(41, 121, 255, 1) 0%, rgba(41, 121, 255, 0) 100%)`;
+
+  return (
+    <div
+      style={{
+        display: 'flex',
+        margin: '20px',
+        marginRight: '75px',
+      }}
+    >
+      <table style={{ borderCollapse: 'collapse' }}>
+        <tbody>
+          {data.map((row, rowIndex) => (
+            <tr key={labels[rowIndex]}>
+              <td
+                style={{
+                  lineHeight: cellSize,
+                  paddingRight: 10,
+                  minWidth: cellSize,
+                  textAlign: 'right',
+                  whiteSpace: 'nowrap',
+                }}
+              >
+                <Text>{labels[rowIndex]}</Text>
+              </td>
+              {row.map((cell, cellIndex) => (
+                <td
+                  key={labels[cellIndex] + labels[rowIndex]}
+                  style={{
+                    backgroundColor: getColor(cell),
+                    border: `solid 1px white`,
+                    color: cell / max < 0.6 ? 'black' : 'white',
+                    height: cellSize,
+                    minHeight: cellSize,
+                    minWidth: cellSize,
+                    position: 'relative',
+                    textAlign: 'center',
+                    verticalAlign: 'middle',
+                    width: cellSize,
+                  }}
+                >
+                  {cell}
+                </td>
+              ))}
+            </tr>
+          ))}
+          <tr>
+            <th
+              style={{
+                width: cellSize,
+              }}
+            />
+            {labels.map((label, i) => (
+              <th key={i}>
+                <div
+                  style={{
+                    writingMode: 'vertical-lr',
+                    whiteSpace: 'nowrap',
+                    width: cellSize,
+                  }}
+                >
+                  <Text style={{ transform: `translateX(${size / 4}px) rotate(315deg)` }}>
+                    {label}
+                  </Text>
+                </div>
+              </th>
+            ))}
+          </tr>
+        </tbody>
+      </table>
+      <div
+        style={{
+          display: 'flex',
+          flexDirection: 'column',
+          justifyContent: 'space-between',
+        }}
+      >
+        <div
+          style={{
+            height: 0.75 * data.length * size,
+            background: gradientLegend,
+            borderRight: 'solid 1px #777',
+            marginLeft: 30,
+            minWidth: 10,
+            position: 'relative',
+            width: 10,
+          }}
+        >
+          <div
+            style={{
+              top: 0,
+              borderTop: 'solid 1px #777',
+              left: '100%',
+              paddingLeft: 5,
+              position: 'absolute',
+              width: 5,
+            }}
+          >
+            <span
+              style={{
+                left: 15,
+                position: 'absolute',
+                top: -7,
+              }}
+            >
+              {max}
+            </span>
+          </div>
+          {new Array(5).fill(0).map((_, i) => (
+            <div
+              key={i}
+              style={{
+                top: `${((5 - i) / 5) * 100}%`,
+                borderTop: 'solid 1px #777',
+                left: '100%',
+                paddingLeft: 5,
+                position: 'absolute',
+                width: 5,
+              }}
+            >
+              <span style={{ left: 15, position: 'absolute', top: -7 }}>
+                {Math.floor((i / 5) * max)}
+              </span>
+            </div>
+          ))}
+        </div>
+        <div
+          style={{
+            fontWeight: 'bold',
+            paddingLeft: 20,
+          }}
+        >
+          True label
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default ConfusionMatrix;