dotplot proto full

client/src/components/dotplot/column.js

@@ -0,0 +1,216 @@
+import React from "react";
+import { connect, shallowEqual } from "react-redux";
+
+import memoize from "memoize-one";
+
+import Async from "react-async";
+import ErrorLoading from "./err";
+import StillLoading from "./load";
+import Dot from "./dot";
+
+import { createCategorySummaryFromDfCol } from "../../util/stateManager/controlsHelpers";
+
+import {
+  createColorTable,
+  createColorQuery,
+} from "../../util/stateManager/colorHelpers";
+
+@connect((state) => ({
+  annoMatrix: state.annoMatrix,
+  colors: state.colors,
+  genesets: state.genesets.genesets,
+  pointDilation: state.pointDilation,
+  differential: state.differential,
+}))
+class Column extends React.Component {
+  static watchAsync(props, prevProps) {
+    return !shallowEqual(props.watchProps, prevProps.watchProps);
+  }
+
+  createCategorySummaryFromDfCol = memoize(createCategorySummaryFromDfCol);
+
+  fetchAsyncProps = async (props) => {
+    const { annoMatrix, colors, _geneSymbol, _geneIndex } = props.watchProps;
+
+    const [categoryData, categorySummary, colorData] = await this.fetchData(
+      annoMatrix,
+      "tissue",
+      colors,
+      _geneSymbol,
+      _geneIndex
+    );
+
+    return {
+      categoryData,
+      categorySummary,
+      colorData,
+    };
+  };
+
+  async fetchData(annoMatrix, metadataField, colors, _geneSymbol) {
+    /*
+        fetch our data and the color-by data if appropriate, and then build a summary
+        of our category and a color table for the color-by annotation.
+        */
+    const { schema } = annoMatrix;
+    const { colorMode } = colors;
+    const { genesets, differential } = this.props;
+    let colorDataPromise = Promise.resolve(null);
+    if (_geneSymbol) {
+      const query = createColorQuery(
+        colorMode,
+        _geneSymbol,
+        schema,
+        genesets,
+        differential.diffExp
+      );
+      if (query) colorDataPromise = annoMatrix.fetch(...query);
+    }
+    const [categoryData, colorData] = await Promise.all([
+      annoMatrix.fetch("obs", metadataField),
+      colorDataPromise,
+    ]);
+
+    // our data
+    const column = categoryData.icol(0);
+    const colSchema = schema.annotations.obsByName[metadataField];
+
+    const categorySummary = this.createCategorySummaryFromDfCol(
+      column,
+      colSchema
+    );
+
+    return [categoryData, categorySummary, colorData];
+  }
+
+  updateColorTable(colors, colorDf) {
+    const { annoMatrix } = this.props;
+    const { schema } = annoMatrix;
+
+    /* update color table state */
+    if (!colors || !colorDf) {
+      return createColorTable(
+        null, // default mode
+        null,
+        null,
+        schema,
+        null
+      );
+    }
+
+    const { colorAccessor, userColors, colorMode } = colors;
+    return createColorTable(
+      colorMode,
+      colorAccessor /* TODO(colinmegill) #632 dotplot wiring */,
+      colorDf,
+      schema,
+      userColors
+    );
+  }
+
+  createColorByQuery(colors) {
+    const { annoMatrix, genesets, differential } = this.props;
+    const { schema } = annoMatrix;
+    const { colorMode, colorAccessor } = colors;
+
+    return createColorQuery(
+      colorMode,
+      colorAccessor /* TODO(colinmegill) #632 dotplot wiring */,
+      schema,
+      genesets,
+      differential.diffExp
+    );
+  }
+
+  render() {
+    const {
+      annoMatrix,
+      pointDilation,
+      colors,
+      viewport,
+      _geneSymbol,
+      _geneIndex,
+      rowColumnSize,
+    } = this.props;
+
+    return (
+      <g key={_geneSymbol}>
+        <Async
+          watchFn={Column.watchAsync}
+          promiseFn={this.fetchAsyncProps}
+          watchProps={{
+            annoMatrix,
+            pointDilation,
+            colors,
+            viewport,
+            _geneSymbol,
+            _geneIndex,
+          }}
+        >
+          <Async.Pending initial>
+            <StillLoading width={viewport.width} height={viewport.height} />
+          </Async.Pending>
+          <Async.Rejected>
+            {(error) => (
+              <ErrorLoading
+                width={viewport.width}
+                height={viewport.height}
+                error={error}
+              />
+            )}
+          </Async.Rejected>
+          <Async.Fulfilled persist>
+            {(asyncProps) => {
+              const {
+                categoryData,
+                width,
+                height,
+                categorySummary,
+                colorData,
+              } = asyncProps;
+
+              if (!_geneSymbol || !colorData) return null;
+
+              /* TODO(colinmegill) #632 wire to dotplot */
+
+              const metadataField = "tissue";
+
+              const groupBy = categoryData.col(metadataField);
+              const col = colorData.icol(0);
+              const range = col.summarize();
+
+              const histogramMap = col.histogram(
+                100,
+                [range.min, range.max],
+                groupBy
+              );
+
+              return categorySummary.categoryValues.map(
+                (val, _categoryValueIndex) => {
+                  return (
+                    <Dot
+                      key={val}
+                      metadataField={metadataField}
+                      categoryData={categoryData}
+                      _geneSymbol={_geneSymbol}
+                      colorData={colorData}
+                      categoryValue={val}
+                      width={width}
+                      height={height}
+                      _categoryValueIndex={_categoryValueIndex}
+                      histogramMap={histogramMap}
+                      _geneIndex={_geneIndex}
+                      rowColumnSize={rowColumnSize}
+                    />
+                  );
+                }
+              );
+            }}
+          </Async.Fulfilled>
+        </Async>
+      </g>
+    );
+  }
+}
+
+export default Column;

client/src/components/dotplot/dot.js

@@ -0,0 +1,54 @@
+import React from "react";
+
+const Dot = (props) => {
+  const {
+    categoryValue,
+    _categoryValueIndex,
+    histogramMap,
+    _geneSymbol,
+    _geneIndex,
+    rowColumnSize,
+  } = props;
+
+  const bins = histogramMap.has(categoryValue)
+    ? histogramMap.get(categoryValue)
+    : new Array(100).fill(0);
+
+  const zeros = bins.shift(); /* MUTATES, REMOVES FIRST ELEMENT */
+  const rest = bins.reduce(
+    (acc, current) => acc + current
+  ); /* SUM REMAINING ELEMENTS */
+
+  /* TODO(colinmegill) #632 colorscale */
+
+  return (
+    <g
+      id={`row_${categoryValue}_${_geneSymbol}`}
+      key={`${_categoryValueIndex}_${categoryValue}`}
+      transform={`translate(${_geneIndex * rowColumnSize}, ${
+        _categoryValueIndex * rowColumnSize
+      })`}
+    >
+      {_geneIndex === 0 && (
+        <text
+          textAnchor="end"
+          style={{ fill: "black", font: "12px Roboto Condensed" }}
+        >
+          {categoryValue}
+        </text>
+      )}
+      <circle
+        r={(rest / zeros) * 10 > 20 ? 20 : (rest / zeros) * 10}
+        cx="11"
+        cy="-3.5"
+        style={{
+          fill: "steelblue",
+          fillOpacity: 0.3,
+          stroke: "none",
+        }}
+      />
+    </g>
+  );
+};
+
+export default Dot;

client/src/components/dotplot/index.js

@@ -1,40 +1,20 @@
 import React from "react";
-import { connect, shallowEqual } from "react-redux";
-// import _regl from "regl";
-import Async from "react-async";
-import memoize from "memoize-one";
-// import * as d3 from "d3";
+import { connect } from "react-redux";
 
-import ErrorLoading from "./err";
-import StillLoading from "./load";
-
-import { createCategorySummaryFromDfCol } from "../../util/stateManager/controlsHelpers";
-
-import {
-  createColorTable,
-  createColorQuery,
-} from "../../util/stateManager/colorHelpers";
+import Column from "./column";
 
 @connect((state) => ({
-  annoMatrix: state.annoMatrix,
   layoutChoice: state.layoutChoice,
-  colors: state.colors,
   genesets: state.genesets.genesets,
-  differential: state.differential,
-  pointDilation: state.pointDilation,
+  colors: state.colors,
 }))
 class Dotplot extends React.Component {
-  static watchAsync(props, prevProps) {
-    return !shallowEqual(props.watchProps, prevProps.watchProps);
-  }
-
-  createCategorySummaryFromDfCol = memoize(createCategorySummaryFromDfCol);
-
   constructor(props) {
     super(props);
     const viewport = this.getViewportDimensions();
-    this.dotplotTopPadding = 150;
-    this.dotplotLeftPadding = 200;
+    this.dotplotTopPadding = 120;
+    this.dotplotLeftPadding = 170;
+    this.rowColumnSize = 15;
 
     this.state = {
       viewport,
@@ -49,8 +29,6 @@ class Dotplot extends React.Component {
     window.removeEventListener("resize", this.handleResize);
   }
 
-  //   handleResize = () => {};
-
   getViewportDimensions = () => {
     const { viewportRef } = this.props;
     return {
@@ -59,183 +37,16 @@ class Dotplot extends React.Component {
     };
   };
 
-  createRow = (
-    metadataField,
-    categoryData,
-    colorAccessor,
-    colorData,
-    categoryValue,
-    width,
-    height,
-    index,
-    histogramMap
-  ) => {
-    const bins = histogramMap.has(categoryValue)
-      ? histogramMap.get(categoryValue)
-      : new Array(100).fill(0);
-
-    const zeros = bins.shift(); /* MUTATES, REMOVES FIRST ELEMENT */
-    const rest = bins.reduce(
-      (acc, current) => acc + current
-    ); /* SUM REMAINING ELEMENTS */
-
-    return (
-      <g
-        key={`${index}_${categoryValue}`}
-        transform={`translate(${this.dotplotLeftPadding}, ${
-          index * 15 + this.dotplotTopPadding
-        })`}
-      >
-        <text textAnchor="end">{categoryValue}</text>
-        <circle
-          r={(rest / zeros) * 10}
-          cx="11"
-          cy="-4"
-          style={{ fill: "rgba(70,130,180,.3)", stroke: "none" }}
-        />
-      </g>
-    );
-  };
-
-  dotplot = (
-    metadataField,
-    categoryData,
-    categorySummary,
-    colorAccessor = "tissue",
-    colorData,
-    width,
-    height
-  ) => {
-    if (!colorAccessor || !colorData) return null;
-
-    const groupBy = categoryData.col(metadataField);
-    const col = colorData.icol(0);
-    const range = col.summarize();
-
-    const histogramMap = col.histogram(100, [range.min, range.max], groupBy);
-
-    return categorySummary.categoryValues.map((val, index) => {
-      return this.createRow(
-        metadataField,
-        categoryData,
-        colorAccessor,
-        colorData,
-        val,
-        width,
-        height,
-        index,
-        histogramMap
-      );
-    });
-  };
-
-  dotplotColumns = () => {
-    const { genesets } = this.props;
-    /* TODO(colinmegill) #632 wire to dotplot reducer */
-    if (genesets && genesets.get("bladder urothelial")) {
-      const _geneset = genesets.get("bladder urothelial");
-      _geneset.genes.forEach((a, b) => {
-        console.log("bladder u", b);
-      });
-    }
-  };
-
-  fetchAsyncProps = async (props) => {
-    const { viewport, annoMatrix, colors } = props.watchProps;
-
-    const [categoryData, categorySummary, colorData] = await this.fetchData(
-      annoMatrix,
-      "tissue",
-      colors
-    );
-
-    const { width, height } = viewport;
-    return {
-      width,
-      height,
-      categoryData,
-      categorySummary,
-      colorData,
-    };
-  };
-
-  async fetchData(annoMatrix, metadataField, colors) {
-    /*
-    fetch our data and the color-by data if appropriate, and then build a summary
-    of our category and a color table for the color-by annotation.
-    */
-    const { schema } = annoMatrix;
-    const { colorAccessor, colorMode } = colors;
-    const { genesets, differential } = this.props;
-    let colorDataPromise = Promise.resolve(null);
-    if (colorAccessor) {
-      const query = createColorQuery(
-        colorMode,
-        colorAccessor,
-        schema,
-        genesets,
-        differential.diffExp
-      );
-      if (query) colorDataPromise = annoMatrix.fetch(...query);
-    }
-    const [categoryData, colorData] = await Promise.all([
-      annoMatrix.fetch("obs", metadataField),
-      colorDataPromise,
-    ]);
-
-    // our data
-    const column = categoryData.icol(0);
-    const colSchema = schema.annotations.obsByName[metadataField];
-
-    const categorySummary = this.createCategorySummaryFromDfCol(
-      column,
-      colSchema
-    );
-    return [categoryData, categorySummary, colorData];
-  }
-
-  updateColorTable(colors, colorDf) {
-    const { annoMatrix } = this.props;
-    const { schema } = annoMatrix;
-
-    /* update color table state */
-    if (!colors || !colorDf) {
-      return createColorTable(
-        null, // default mode
-        null,
-        null,
-        schema,
-        null
-      );
-    }
-
-    const { colorAccessor, userColors, colorMode } = colors;
-    return createColorTable(
-      colorMode,
-      colorAccessor,
-      colorDf,
-      schema,
-      userColors
-    );
-  }
-
-  createColorByQuery(colors) {
-    const { annoMatrix, genesets, differential } = this.props;
-    const { schema } = annoMatrix;
-    const { colorMode, colorAccessor } = colors;
-
-    return createColorQuery(
-      colorMode,
-      colorAccessor,
-      schema,
-      genesets,
-      differential.diffExp
-    );
-  }
-
   render() {
     const { viewport } = this.state;
-    const { annoMatrix, colors, pointDilation } = this.props;
+    const { genesets } = this.props;
+
+    const _TESTgeneset = genesets.get("bladder urothelial");
+
+    /* TODO(colinmegill) #632 componetize */
+    if (!_TESTgeneset) return null;
+
+    const _genes = Array.from(_TESTgeneset.genes.keys());
 
     return (
       <div
@@ -247,6 +58,7 @@ class Dotplot extends React.Component {
         }}
       >
         <svg
+          id="dotplot"
           style={{
             position: "absolute",
             top: 0,
@@ -256,51 +68,43 @@ class Dotplot extends React.Component {
           width={viewport.width}
           height={viewport.height}
         >
-          {this.dotplotColumns()}
-          <Async
-            watchFn={Dotplot.watchAsync}
-            promiseFn={this.fetchAsyncProps}
-            watchProps={{
-              annoMatrix,
-              pointDilation,
-              colors,
-              viewport,
-            }}
+          <g
+            id="dotplot_interface_margin"
+            transform={`translate(${this.dotplotLeftPadding},${this.dotplotTopPadding})`}
           >
-            <Async.Pending initial>
-              <StillLoading width={viewport.width} height={viewport.height} />
-            </Async.Pending>
-            <Async.Rejected>
-              {(error) => (
-                <ErrorLoading
-                  width={viewport.width}
-                  height={viewport.height}
-                  error={error}
-                />
-              )}
-            </Async.Rejected>
-            <Async.Fulfilled persist>
-              {(asyncProps) => {
-                const {
-                  colorAccessor,
-                  categoryData,
-                  width,
-                  height,
-                  categorySummary,
-                  colorData,
-                } = asyncProps;
-                return this.dotplot(
-                  "tissue",
-                  categoryData,
-                  categorySummary,
-                  colorAccessor,
-                  colorData,
-                  width,
-                  height
+            {/* Acaa1b, Mal, Foxq1 ... across the top of the dotplot */}
+            <g id="dotplot_column_labels" transform="translate(14,-13)">
+              {_genes.map((_geneSymbol, _geneIndexInGeneset) => {
+                return (
+                  <text
+                    key={_geneSymbol}
+                    x={0}
+                    y={0}
+                    transform={`translate(${
+                      _geneIndexInGeneset * this.rowColumnSize
+                    }) rotate(270)`}
+                    style={{ fill: "black", font: "12px Roboto Condensed" }}
+                  >
+                    {_geneSymbol}
+                  </text>
                 );
-              }}
-            </Async.Fulfilled>
-          </Async>
+              })}
+            </g>
+            {/* loop over genes in the geneset, */}
+            <g id="dotplot_columns">
+              {_genes.map((_geneSymbol, _geneIndexInGeneset) => {
+                return (
+                  <Column
+                    key={_geneSymbol}
+                    _geneSymbol={_geneSymbol}
+                    _geneIndex={_geneIndexInGeneset}
+                    viewport={viewport}
+                    rowColumnSize={this.rowColumnSize}
+                  />
+                );
+              })}
+            </g>
+          </g>
         </svg>
       </div>
     );