You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@superset.apache.org by ma...@apache.org on 2025/01/14 06:08:55 UTC

(superset) 01/02: fix: a new console warnings

This is an automated email from the ASF dual-hosted git repository.

maximebeauchemin pushed a commit to branch fix_warning
in repository https://gitbox.apache.org/repos/asf/superset.git

commit f74d0ba88de89a3c7673d2b4d2d1c08616c91308
Author: Maxime Beauchemin <ma...@gmail.com>
AuthorDate: Mon Jan 13 21:42:37 2025 -0800

    fix: a new console warnings
    
    Hit this one today:
    ```
    superset_node         | WARNING in
    ./plugins/legacy-preset-chart-deckgl/src/layers/common.tsx 70:13-20
    superset_node         | export 'default' (imported as 'd3array') was not
    found in 'd3-array' (possible exports: ascending, bisect, bisectLeft,
    bisectRight, bisector, cross, descending, deviation, extent, histogram,
    max, mean, median, merge, mi
    n, pairs, permute, quantile, range, scan, shuffle, sum,
    thresholdFreedmanDiaconis, thresholdScott, thresholdSturges,
    tickIncrement, tickStep, ticks, transpose, variance, zip)
    ```
    
    Then took on fixing a few more warnings
---
 .../src/layers/common.test.ts                      | 148 +++++++++++++++++++++
 .../src/layers/common.tsx                          |  31 ++++-
 2 files changed, 175 insertions(+), 4 deletions(-)

diff --git a/superset-frontend/plugins/legacy-preset-chart-deckgl/src/layers/common.test.ts b/superset-frontend/plugins/legacy-preset-chart-deckgl/src/layers/common.test.ts
new file mode 100644
index 0000000000..320aee136b
--- /dev/null
+++ b/superset-frontend/plugins/legacy-preset-chart-deckgl/src/layers/common.test.ts
@@ -0,0 +1,148 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS
+ * OF ANY KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+import { getAggFunc, commonLayerProps } from './common';
+import { JsonObject } from '@superset-ui/core';
+
+describe('getAggFunc', () => {
+  it('returns correct function for sum', () => {
+    const aggFunc = getAggFunc('sum');
+    const result = aggFunc([1, 2, 3, 4]);
+    expect(result).toBe(10);
+  });
+
+  it('returns correct function for min', () => {
+    const aggFunc = getAggFunc('min');
+    const result = aggFunc([1, 2, 3, 4]);
+    expect(result).toBe(1);
+  });
+
+  it('returns correct function for max', () => {
+    const aggFunc = getAggFunc('max');
+    const result = aggFunc([1, 2, 3, 4]);
+    expect(result).toBe(4);
+  });
+
+  it('returns correct function for mean', () => {
+    const aggFunc = getAggFunc('mean');
+    const result = aggFunc([1, 2, 3, 4]);
+    expect(result).toBe(2.5);
+  });
+
+  it('returns correct function for median', () => {
+    const aggFunc = getAggFunc('median');
+    const result = aggFunc([1, 2, 3, 4, 5]);
+    expect(result).toBe(3);
+  });
+
+  it('returns correct function for variance', () => {
+    const aggFunc = getAggFunc('variance');
+    const result = aggFunc([1, 2, 3, 4]);
+    expect(result).toBe(1.6666666666666667);
+  });
+
+  it('returns correct function for deviation', () => {
+    const aggFunc = getAggFunc('deviation');
+    const result = aggFunc([1, 2, 3, 4]);
+    expect(result).toBeCloseTo(1.29099, 5);
+  });
+
+  it('returns correct function for count', () => {
+    const aggFunc = getAggFunc('count');
+    const result = aggFunc([1, 2, 3, 4]);
+    expect(result).toBe(4);
+  });
+
+  it('returns correct function for p95 (percentiles)', () => {
+    const aggFunc = getAggFunc('p95');
+    const result = aggFunc([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]);
+    expect(result).toBeCloseTo(9.55, 5);
+  });
+
+  it('throws an error for unsupported aggregation type', () => {
+    expect(() => getAggFunc('unsupported')).toThrow(
+      'Unsupported aggregation type: unsupported',
+    );
+  });
+});
+
+describe('commonLayerProps', () => {
+  const mockSetTooltip = jest.fn();
+  const mockSetTooltipContent = jest.fn(
+    () => (o: JsonObject) => `Tooltip for ${o}`,
+  );
+  const mockOnSelect = jest.fn();
+
+  it('returns correct props when js_tooltip is provided', () => {
+    const formData = { js_tooltip: 'tooltip => tooltip.content' } as any;
+    const props = commonLayerProps(
+      formData,
+      mockSetTooltip,
+      mockSetTooltipContent,
+    );
+    expect(props.pickable).toBe(true);
+    expect(props.onHover).toBeDefined();
+  });
+
+  it('calls onHover and sets tooltip', () => {
+    const formData = { js_tooltip: null } as any;
+    const props = commonLayerProps(
+      formData,
+      mockSetTooltip,
+      mockSetTooltipContent,
+    );
+
+    const mockObject = { picked: true, x: 10, y: 20 };
+    props.onHover(mockObject);
+    expect(mockSetTooltip).toHaveBeenCalledWith({
+      content: expect.any(Function), // Matches any function
+      x: 10,
+      y: 20,
+    });
+  });
+
+  it('calls onClick and opens link when js_onclick_href is provided', () => {
+    global.open = jest.fn();
+    const formData = {
+      js_onclick_href: 'o => `https://example.com/${o.id}`',
+    } as any;
+    const props = commonLayerProps(
+      formData,
+      mockSetTooltip,
+      mockSetTooltipContent,
+    );
+
+    const mockObject = { id: 42 };
+    props.onClick(mockObject);
+    expect(global.open).toHaveBeenCalledWith('https://example.com/42');
+  });
+
+  it('calls onSelect when table_filter is enabled', () => {
+    const formData = { table_filter: true, line_column: 'name' } as any;
+    const props = commonLayerProps(
+      formData,
+      mockSetTooltip,
+      mockSetTooltipContent,
+      mockOnSelect,
+    );
+
+    const mockObject = { object: { name: 'John Doe' } };
+    props.onClick(mockObject);
+    expect(mockOnSelect).toHaveBeenCalledWith('John Doe');
+  });
+});
diff --git a/superset-frontend/plugins/legacy-preset-chart-deckgl/src/layers/common.tsx b/superset-frontend/plugins/legacy-preset-chart-deckgl/src/layers/common.tsx
index 4ff84f90e4..19c6f8889a 100644
--- a/superset-frontend/plugins/legacy-preset-chart-deckgl/src/layers/common.tsx
+++ b/superset-frontend/plugins/legacy-preset-chart-deckgl/src/layers/common.tsx
@@ -11,15 +11,22 @@
  *
  * Unless required by applicable law or agreed to in writing,
  * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS
+ * OF ANY KIND, either express or implied.  See the License for the
  * specific language governing permissions and limitations
  * under the License.
  */
 import { ReactNode } from 'react';
-import d3array, {
+import {
   ascending as d3ascending,
   quantile as d3quantile,
+  sum as d3sum,
+  mean as d3mean,
+  min as d3min,
+  max as d3max,
+  median as d3median,
+  variance as d3variance,
+  deviation as d3deviation,
 } from 'd3-array';
 import { JsonObject, JsonValue, QueryFormData } from '@superset-ui/core';
 import sandboxedEval from '../utils/sandbox';
@@ -79,6 +86,17 @@ const percentiles = {
   p99: 0.99,
 };
 
+/* Supported d3-array functions */
+const d3functions: Record<string, any> = {
+  sum: d3sum,
+  min: d3min,
+  max: d3max,
+  mean: d3mean,
+  median: d3median,
+  variance: d3variance,
+  deviation: d3deviation,
+};
+
 /* Get a stat function that operates on arrays, aligns with control=js_agg_function  */
 export function getAggFunc(
   type = 'sum',
@@ -87,10 +105,12 @@ export function getAggFunc(
   if (type === 'count') {
     return (arr: number[]) => arr.length;
   }
+
   let d3func: (
     iterable: Array<unknown>,
     accessor?: (object: JsonObject) => number | undefined,
   ) => number[] | number | undefined;
+
   if (type in percentiles) {
     d3func = (arr, acc: (object: JsonObject) => number | undefined) => {
       let sortedArr;
@@ -104,9 +124,12 @@ export function getAggFunc(
 
       return d3quantile(sortedArr, percentiles[type], acc);
     };
+  } else if (type in d3functions) {
+    d3func = d3functions[type];
   } else {
-    d3func = d3array[type];
+    throw new Error(`Unsupported aggregation type: ${type}`);
   }
+
   if (!accessor) {
     return (arr: JsonObject[]) => d3func(arr);
   }