From fa89713f194e820e5cb4d4996f2a00cc80208853 Mon Sep 17 00:00:00 2001 From: toby Date: Tue, 30 May 2017 14:50:56 -0400 Subject: [PATCH 01/47] Add d3 as a dependency --- package.json | 2 ++ 1 file changed, 2 insertions(+) diff --git a/package.json b/package.json index 4ad37565..09a08036 100644 --- a/package.json +++ b/package.json @@ -68,6 +68,8 @@ "bootstrap-switch": "^3.3.4", "crypto-api": "^0.6.2", "crypto-js": "^3.1.9-1", + "d3": "^4.9.1", + "d3-hexbin": "^0.2.2", "diff": "^3.2.0", "escodegen": "^1.8.1", "esmangle": "^1.0.1", From 281d558111c5094b828583109fe8417f94abfb1c Mon Sep 17 00:00:00 2001 From: toby Date: Tue, 30 May 2017 14:53:32 -0400 Subject: [PATCH 02/47] Add hex density chart --- src/core/Utils.js | 1 + src/core/config/OperationConfig.js | 39 ++++++ src/core/operations/Charts.js | 205 +++++++++++++++++++++++++++++ 3 files changed, 245 insertions(+) create mode 100755 src/core/operations/Charts.js diff --git a/src/core/Utils.js b/src/core/Utils.js index 9b0d2a30..bb05ec3d 100755 --- a/src/core/Utils.js +++ b/src/core/Utils.js @@ -1021,6 +1021,7 @@ const Utils = { "Comma": ",", "Semi-colon": ";", "Colon": ":", + "Tab": "\t", "Line feed": "\n", "CRLF": "\r\n", "Forward slash": "/", diff --git a/src/core/config/OperationConfig.js b/src/core/config/OperationConfig.js index 5fd5a9ee..f11809ad 100755 --- a/src/core/config/OperationConfig.js +++ b/src/core/config/OperationConfig.js @@ -5,6 +5,7 @@ import Base64 from "../operations/Base64.js"; import BitwiseOp from "../operations/BitwiseOp.js"; import ByteRepr from "../operations/ByteRepr.js"; import CharEnc from "../operations/CharEnc.js"; +import Charts from "../operations/Charts.js"; import Checksum from "../operations/Checksum.js"; import Cipher from "../operations/Cipher.js"; import Code from "../operations/Code.js"; @@ -3388,6 +3389,44 @@ const OperationConfig = { } ] }, + "Hex Density chart": { + description: [].join("\n"), + run: Charts.runHexDensityChart, + inputType: "string", + outputType: "html", + args: [ + { + name: "Record delimiter", + type: "option", + value: Charts.RECORD_DELIMITER_OPTIONS, + }, + { + name: "Field delimiter", + type: "option", + value: Charts.FIELD_DELIMITER_OPTIONS, + }, + { + name: "Radius", + type: "number", + value: 25, + }, + { + name: "Use column headers as labels", + type: "boolean", + value: true, + }, + { + name: "X label", + type: "string", + value: "", + }, + { + name: "Y label", + type: "string", + value: "", + }, + ] + } }; export default OperationConfig; diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js new file mode 100755 index 00000000..a1ab9725 --- /dev/null +++ b/src/core/operations/Charts.js @@ -0,0 +1,205 @@ +import * as d3 from "d3"; +import {hexbin as d3hexbin} from "d3-hexbin"; +import Utils from "../Utils.js"; + +/** + * Charting operations. + * + * @author tlwr [toby@toby.com] + * @copyright Crown Copyright 2016 + * @license Apache-2.0 + * + * @namespace + */ +const Charts = { + /** + * @constant + * @default + */ + RECORD_DELIMITER_OPTIONS: ["Line feed", "CRLF"], + + + /** + * @constant + * @default + */ + FIELD_DELIMITER_OPTIONS: ["Space", "Comma", "Semi-colon", "Colon", "Tab"], + + + /** + * Gets values from input for a scatter plot. + * + * @param {string} input + * @param {string} recordDelimiter + * @param {string} fieldDelimiter + * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record + * @returns {Object[]} + */ + _getScatterValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { + let headings; + const values = []; + + input + .split(recordDelimiter) + .forEach((row, rowIndex) => { + let split = row.split(fieldDelimiter); + + if (split.length !== 2) throw "Each row must have length 2."; + + if (columnHeadingsAreIncluded && rowIndex === 0) { + headings = {}; + headings.x = split[0]; + headings.y = split[1]; + } else { + let x = split[0], + y = split[1]; + + x = parseFloat(x, 10); + if (Number.isNaN(x)) throw "Values must be numbers in base 10."; + + y = parseFloat(y, 10); + if (Number.isNaN(y)) throw "Values must be numbers in base 10."; + + values.push([x, y]); + } + }); + + return { headings, values}; + }, + + + /** + * Hex Bin chart operation. + * + * @param {string} input + * @param {Object[]} args + * @returns {html} + */ + runHexDensityChart: function (input, args) { + const recordDelimiter = Utils.charRep[args[0]], + fieldDelimiter = Utils.charRep[args[1]], + radius = args[2], + columnHeadingsAreIncluded = args[3], + dimension = 500; + + let xLabel = args[4], + yLabel = args[5], + { headings, values } = Charts._getScatterValues( + input, + recordDelimiter, + fieldDelimiter, + columnHeadingsAreIncluded + ); + + if (headings) { + xLabel = headings.x; + yLabel = headings.y; + } + + let svg = document.createElement("svg"); + svg = d3.select(svg) + .attr("width", "100%") + .attr("height", "100%") + .attr("viewBox", `0 0 ${dimension} ${dimension}`); + + let margin = { + top: 0, + right: 0, + bottom: 30, + left: 30, + }, + width = dimension - margin.left - margin.right, + height = dimension - margin.top - margin.bottom, + marginedSpace = svg.append("g") + .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); + + let hexbin = d3hexbin() + .radius(radius) + .extent([0, 0], [width, height]); + + let hexPoints = hexbin(values), + maxCount = Math.max(...hexPoints.map(b => b.length)); + + let xExtent = d3.extent(hexPoints, d => d.x), + yExtent = d3.extent(hexPoints, d => d.y); + xExtent[0] -= 2 * radius; + xExtent[1] += 2 * radius; + yExtent[0] -= 2 * radius; + yExtent[1] += 2 * radius; + + let xAxis = d3.scaleLinear() + .domain(xExtent) + .range([0, width]); + let yAxis = d3.scaleLinear() + .domain(yExtent) + .range([height, 0]); + + let color = d3.scaleSequential(d3.interpolateLab("white", "steelblue")) + .domain([0, maxCount]); + + marginedSpace.append("clipPath") + .attr("id", "clip") + .append("rect") + .attr("width", width) + .attr("height", height); + + marginedSpace.append("g") + .attr("class", "hexagon") + .attr("clip-path", "url(#clip)") + .selectAll("path") + .data(hexPoints) + .enter() + .append("path") + .attr("d", d => { + return `M${xAxis(d.x)},${yAxis(d.y)} ${hexbin.hexagon(radius * 0.75)}`; + }) + .attr("fill", (d) => color(d.length)) + .append("title") + .text(d => { + let count = d.length, + perc = 100.0 * d.length / values.length, + CX = d.x, + CY = d.y, + xMin = Math.min(...d.map(d => d[0])), + xMax = Math.max(...d.map(d => d[0])), + yMin = Math.min(...d.map(d => d[1])), + yMax = Math.max(...d.map(d => d[1])), + tooltip = `Count: ${count}\n + Percentage: ${perc.toFixed(2)}%\n + Center: ${CX.toFixed(2)}, ${CY.toFixed(2)}\n + Min X: ${xMin.toFixed(2)}\n + Max X: ${xMax.toFixed(2)}\n + Min Y: ${yMin.toFixed(2)}\n + Max Y: ${yMax.toFixed(2)} + `.replace(/\s{2,}/g, "\n"); + return tooltip; + }); + + marginedSpace.append("g") + .attr("class", "axis axis--y") + .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); + + svg.append("text") + .attr("transform", "rotate(-90)") + .attr("y", -margin.left) + .attr("x", -(height / 2)) + .attr("dy", "1em") + .style("text-anchor", "middle") + .text(yLabel); + + marginedSpace.append("g") + .attr("class", "axis axis--x") + .attr("transform", "translate(0," + height + ")") + .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); + + svg.append("text") + .attr("x", width / 2) + .attr("y", dimension) + .style("text-anchor", "middle") + .text(xLabel); + + return svg._groups[0][0].outerHTML; + }, +}; + +export default Charts; From 6cdc7d3966e19443c5d4d595ff1218eb04e6fc79 Mon Sep 17 00:00:00 2001 From: toby Date: Tue, 30 May 2017 15:24:23 -0400 Subject: [PATCH 03/47] Hex density: split radius into draw & pack radii --- src/core/config/OperationConfig.js | 7 ++++++- src/core/operations/Charts.js | 21 +++++++++++---------- 2 files changed, 17 insertions(+), 11 deletions(-) diff --git a/src/core/config/OperationConfig.js b/src/core/config/OperationConfig.js index f11809ad..db7f5837 100755 --- a/src/core/config/OperationConfig.js +++ b/src/core/config/OperationConfig.js @@ -3406,10 +3406,15 @@ const OperationConfig = { value: Charts.FIELD_DELIMITER_OPTIONS, }, { - name: "Radius", + name: "Pack radius", type: "number", value: 25, }, + { + name: "Draw radius", + type: "number", + value: 15, + }, { name: "Use column headers as labels", type: "boolean", diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js index a1ab9725..1c026fb7 100755 --- a/src/core/operations/Charts.js +++ b/src/core/operations/Charts.js @@ -78,12 +78,13 @@ const Charts = { runHexDensityChart: function (input, args) { const recordDelimiter = Utils.charRep[args[0]], fieldDelimiter = Utils.charRep[args[1]], - radius = args[2], - columnHeadingsAreIncluded = args[3], + packRadius = args[2], + drawRadius = args[3], + columnHeadingsAreIncluded = args[4], dimension = 500; - let xLabel = args[4], - yLabel = args[5], + let xLabel = args[5], + yLabel = args[6], { headings, values } = Charts._getScatterValues( input, recordDelimiter, @@ -114,7 +115,7 @@ const Charts = { .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); let hexbin = d3hexbin() - .radius(radius) + .radius(packRadius) .extent([0, 0], [width, height]); let hexPoints = hexbin(values), @@ -122,10 +123,10 @@ const Charts = { let xExtent = d3.extent(hexPoints, d => d.x), yExtent = d3.extent(hexPoints, d => d.y); - xExtent[0] -= 2 * radius; - xExtent[1] += 2 * radius; - yExtent[0] -= 2 * radius; - yExtent[1] += 2 * radius; + xExtent[0] -= 2 * packRadius; + xExtent[1] += 2 * packRadius; + yExtent[0] -= 2 * packRadius; + yExtent[1] += 2 * packRadius; let xAxis = d3.scaleLinear() .domain(xExtent) @@ -151,7 +152,7 @@ const Charts = { .enter() .append("path") .attr("d", d => { - return `M${xAxis(d.x)},${yAxis(d.y)} ${hexbin.hexagon(radius * 0.75)}`; + return `M${xAxis(d.x)},${yAxis(d.y)} ${hexbin.hexagon(drawRadius)}`; }) .attr("fill", (d) => color(d.length)) .append("title") From dc642be1f53b270f8107b09405f79e5ecd012ef2 Mon Sep 17 00:00:00 2001 From: toby Date: Tue, 30 May 2017 15:49:22 -0400 Subject: [PATCH 04/47] Hex plot: add edge drawing & changing colour opts --- src/core/config/OperationConfig.js | 15 +++++++++++++++ src/core/operations/Charts.js | 22 ++++++++++++++++++++-- 2 files changed, 35 insertions(+), 2 deletions(-) diff --git a/src/core/config/OperationConfig.js b/src/core/config/OperationConfig.js index db7f5837..ffb75a07 100755 --- a/src/core/config/OperationConfig.js +++ b/src/core/config/OperationConfig.js @@ -3430,6 +3430,21 @@ const OperationConfig = { type: "string", value: "", }, + { + name: "Draw hexagon edges", + type: "boolean", + value: false, + }, + { + name: "Min colour value", + type: "string", + value: Charts.COLOURS.min, + }, + { + name: "Max colour value", + type: "string", + value: Charts.COLOURS.max, + }, ] } }; diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js index 1c026fb7..eb8c7efe 100755 --- a/src/core/operations/Charts.js +++ b/src/core/operations/Charts.js @@ -68,6 +68,19 @@ const Charts = { }, + /** + * Default from colour + * + * @constant + * @default + */ + COLOURS: { + min: "white", + max: "black", + }, + + + /** * Hex Bin chart operation. * @@ -81,6 +94,9 @@ const Charts = { packRadius = args[2], drawRadius = args[3], columnHeadingsAreIncluded = args[4], + drawEdges = args[7], + minColour = args[8], + maxColour = args[9], dimension = 500; let xLabel = args[5], @@ -135,7 +151,7 @@ const Charts = { .domain(yExtent) .range([height, 0]); - let color = d3.scaleSequential(d3.interpolateLab("white", "steelblue")) + let colour = d3.scaleSequential(d3.interpolateLab(minColour, maxColour)) .domain([0, maxCount]); marginedSpace.append("clipPath") @@ -154,7 +170,9 @@ const Charts = { .attr("d", d => { return `M${xAxis(d.x)},${yAxis(d.y)} ${hexbin.hexagon(drawRadius)}`; }) - .attr("fill", (d) => color(d.length)) + .attr("fill", (d) => colour(d.length)) + .attr("stroke", drawEdges ? "black" : "none") + .attr("stroke-width", drawEdges ? "0.5" : "none") .append("title") .text(d => { let count = d.length, From b4188db671ec1451c089b0f5416a9aeaf13805ec Mon Sep 17 00:00:00 2001 From: toby Date: Wed, 31 May 2017 14:56:03 -0400 Subject: [PATCH 05/47] Hexagon density: allow dense plotting of hexagons --- src/core/config/OperationConfig.js | 5 +++ src/core/operations/Charts.js | 56 ++++++++++++++++++++++++++++++ 2 files changed, 61 insertions(+) diff --git a/src/core/config/OperationConfig.js b/src/core/config/OperationConfig.js index ffb75a07..ab38b7cf 100755 --- a/src/core/config/OperationConfig.js +++ b/src/core/config/OperationConfig.js @@ -3445,6 +3445,11 @@ const OperationConfig = { type: "string", value: Charts.COLOURS.max, }, + { + name: "Draw empty hexagons within data boundaries", + type: "boolean", + value: false, + }, ] } }; diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js index eb8c7efe..447d47b2 100755 --- a/src/core/operations/Charts.js +++ b/src/core/operations/Charts.js @@ -80,6 +80,36 @@ const Charts = { }, + /** + * Hex Bin chart operation. + * + * @param {Object[]} - centres + * @param {number} - radius + * @returns {Object[]} + */ + _getEmptyHexagons(centres, radius) { + const emptyCentres = []; + let boundingRect = [d3.extent(centres, d => d.x), d3.extent(centres, d => d.y)], + indent = false, + hexagonCenterToEdge = Math.cos(2 * Math.PI / 12) * radius, + hexagonEdgeLength = Math.sin(2 * Math.PI / 12) * radius; + + for (let y = boundingRect[1][0]; y <= boundingRect[1][1] + radius; y += hexagonEdgeLength + radius) { + for (let x = boundingRect[0][0]; x <= boundingRect[0][1] + radius; x += 2 * hexagonCenterToEdge) { + let cx = x, + cy = y; + + if (indent && x >= boundingRect[0][1]) break; + if (indent) cx += hexagonCenterToEdge; + + emptyCentres.push({x: cx, y: cy}); + } + indent = !indent; + } + + return emptyCentres; + }, + /** * Hex Bin chart operation. @@ -97,6 +127,7 @@ const Charts = { drawEdges = args[7], minColour = args[8], maxColour = args[9], + drawEmptyHexagons = args[10], dimension = 500; let xLabel = args[5], @@ -160,6 +191,31 @@ const Charts = { .attr("width", width) .attr("height", height); + if (drawEmptyHexagons) { + marginedSpace.append("g") + .attr("class", "empty-hexagon") + .selectAll("path") + .data(Charts._getEmptyHexagons(hexPoints, packRadius)) + .enter() + .append("path") + .attr("d", d => { + return `M${xAxis(d.x)},${yAxis(d.y)} ${hexbin.hexagon(drawRadius)}`; + }) + .attr("fill", (d) => colour(0)) + .attr("stroke", drawEdges ? "black" : "none") + .attr("stroke-width", drawEdges ? "0.5" : "none") + .append("title") + .text(d => { + let count = 0, + perc = 0, + tooltip = `Count: ${count}\n + Percentage: ${perc.toFixed(2)}%\n + Center: ${d.x.toFixed(2)}, ${d.y.toFixed(2)}\n + `.replace(/\s{2,}/g, "\n"); + return tooltip; + }); + } + marginedSpace.append("g") .attr("class", "hexagon") .attr("clip-path", "url(#clip)") From 1c87707a76652642b544ed993a6289b2fc9a4053 Mon Sep 17 00:00:00 2001 From: toby Date: Mon, 5 Jun 2017 10:24:06 -0400 Subject: [PATCH 06/47] Add heatmap chart operation --- src/core/config/OperationConfig.js | 58 ++++++++++ src/core/operations/Charts.js | 176 +++++++++++++++++++++++++++++ 2 files changed, 234 insertions(+) diff --git a/src/core/config/OperationConfig.js b/src/core/config/OperationConfig.js index ab38b7cf..62ba46e5 100755 --- a/src/core/config/OperationConfig.js +++ b/src/core/config/OperationConfig.js @@ -3451,6 +3451,64 @@ const OperationConfig = { value: false, }, ] + }, + "Heatmap chart": { + description: [].join("\n"), + run: Charts.runHeatmapChart, + inputType: "string", + outputType: "html", + args: [ + { + name: "Record delimiter", + type: "option", + value: Charts.RECORD_DELIMITER_OPTIONS, + }, + { + name: "Field delimiter", + type: "option", + value: Charts.FIELD_DELIMITER_OPTIONS, + }, + { + name: "Number of vertical bins", + type: "number", + value: 25, + }, + { + name: "Number of horizontal bins", + type: "number", + value: 25, + }, + { + name: "Use column headers as labels", + type: "boolean", + value: true, + }, + { + name: "X label", + type: "string", + value: "", + }, + { + name: "Y label", + type: "string", + value: "", + }, + { + name: "Draw bin edges", + type: "boolean", + value: false, + }, + { + name: "Min colour value", + type: "string", + value: Charts.COLOURS.min, + }, + { + name: "Max colour value", + type: "string", + value: Charts.COLOURS.max, + }, + ] } }; diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js index 447d47b2..5a927ce3 100755 --- a/src/core/operations/Charts.js +++ b/src/core/operations/Charts.js @@ -275,6 +275,182 @@ const Charts = { return svg._groups[0][0].outerHTML; }, + + + /** + * Packs a list of x, y coordinates into a number of bins for use in a heatmap. + * + * @param {Object[]} points + * @param {number} number of vertical bins + * @param {number} number of horizontal bins + * @returns {Object[]} a list of bins (each bin is an Array) with x y coordinates, filled with the points + */ + _getHeatmapPacking(values, vBins, hBins) { + const xBounds = d3.extent(values, d => d[0]), + yBounds = d3.extent(values, d => d[1]), + bins = []; + + if (xBounds[0] === xBounds[1]) throw "Cannot pack points. There is no difference between the minimum and maximum X coordinate."; + if (yBounds[0] === yBounds[1]) throw "Cannot pack points. There is no difference between the minimum and maximum Y coordinate."; + + for (let y = 0; y < vBins; y++) { + bins.push([]); + for (let x = 0; x < hBins; x++) { + let item = []; + item.y = y; + item.x = x; + + bins[y].push(item); + } // x + } // y + + let epsilon = 0.000000001; // This is to clamp values that are exactly the maximum; + + values.forEach(v => { + let fractionOfY = (v[1] - yBounds[0]) / ((yBounds[1] + epsilon) - yBounds[0]), + fractionOfX = (v[0] - xBounds[0]) / ((xBounds[1] + epsilon) - xBounds[0]); + let y = Math.floor(vBins * fractionOfY), + x = Math.floor(hBins * fractionOfX); + + bins[y][x].push({x: v[0], y: v[1]}); + }); + + return bins; + }, + + + /** + * Heatmap chart operation. + * + * @param {string} input + * @param {Object[]} args + * @returns {html} + */ + runHeatmapChart: function (input, args) { + const recordDelimiter = Utils.charRep[args[0]], + fieldDelimiter = Utils.charRep[args[1]], + vBins = args[2], + hBins = args[3], + columnHeadingsAreIncluded = args[4], + drawEdges = args[7], + minColour = args[8], + maxColour = args[9], + dimension = 500; + + if (vBins <= 0) throw "Number of vertical bins must be greater than 0"; + if (hBins <= 0) throw "Number of horizontal bins must be greater than 0"; + + let xLabel = args[5], + yLabel = args[6], + { headings, values } = Charts._getScatterValues( + input, + recordDelimiter, + fieldDelimiter, + columnHeadingsAreIncluded + ); + + if (headings) { + xLabel = headings.x; + yLabel = headings.y; + } + + let svg = document.createElement("svg"); + svg = d3.select(svg) + .attr("width", "100%") + .attr("height", "100%") + .attr("viewBox", `0 0 ${dimension} ${dimension}`); + + let margin = { + top: 10, + right: 0, + bottom: 40, + left: 30, + }, + width = dimension - margin.left - margin.right, + height = dimension - margin.top - margin.bottom, + binWidth = width / hBins, + binHeight = height/ vBins, + marginedSpace = svg.append("g") + .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); + + let bins = Charts._getHeatmapPacking(values, vBins, hBins), + maxCount = Math.max(...bins.map(row => { + let lengths = row.map(cell => cell.length); + return Math.max(...lengths); + })); + + let xExtent = d3.extent(values, d => d[0]), + yExtent = d3.extent(values, d => d[1]); + + let xAxis = d3.scaleLinear() + .domain(xExtent) + .range([0, width]); + let yAxis = d3.scaleLinear() + .domain(yExtent) + .range([height, 0]); + + let colour = d3.scaleSequential(d3.interpolateLab(minColour, maxColour)) + .domain([0, maxCount]); + + marginedSpace.append("clipPath") + .attr("id", "clip") + .append("rect") + .attr("width", width) + .attr("height", height); + + marginedSpace.append("g") + .attr("class", "bins") + .attr("clip-path", "url(#clip)") + .selectAll("g") + .data(bins) + .enter() + .append("g") + .selectAll("rect") + .data(d => d) + .enter() + .append("rect") + .attr("x", (d) => binWidth * d.x) + .attr("y", (d) => (height - binHeight * (d.y + 1))) + .attr("width", binWidth) + .attr("height", binHeight) + .attr("fill", (d) => colour(d.length)) + .attr("stroke", drawEdges ? "rgba(0, 0, 0, 0.5)" : "none") + .attr("stroke-width", drawEdges ? "0.5" : "none") + .append("title") + .text(d => { + let count = d.length, + perc = 100.0 * d.length / values.length, + tooltip = `Count: ${count}\n + Percentage: ${perc.toFixed(2)}%\n + `.replace(/\s{2,}/g, "\n"); + return tooltip; + }); + + marginedSpace.append("g") + .attr("class", "axis axis--y") + .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); + + svg.append("text") + .attr("transform", "rotate(-90)") + .attr("y", -margin.left) + .attr("x", -(height / 2)) + .attr("dy", "1em") + .style("text-anchor", "middle") + .text(yLabel); + + marginedSpace.append("g") + .attr("class", "axis axis--x") + .attr("transform", "translate(0," + height + ")") + .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); + + svg.append("text") + .attr("x", width / 2) + .attr("y", dimension) + .style("text-anchor", "middle") + .text(xLabel); + + return svg._groups[0][0].outerHTML; + }, }; export default Charts; From 594456856592d936711f52a5a6cde5cd937694d5 Mon Sep 17 00:00:00 2001 From: toby Date: Mon, 5 Jun 2017 10:24:15 -0400 Subject: [PATCH 07/47] Change margins in hex density chart --- src/core/operations/Charts.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js index 5a927ce3..2202e0f1 100755 --- a/src/core/operations/Charts.js +++ b/src/core/operations/Charts.js @@ -151,9 +151,9 @@ const Charts = { .attr("viewBox", `0 0 ${dimension} ${dimension}`); let margin = { - top: 0, + top: 10, right: 0, - bottom: 30, + bottom: 40, left: 30, }, width = dimension - margin.left - margin.right, From 247e9bfbdeaa113b37ff1bea35c1db624a71a720 Mon Sep 17 00:00:00 2001 From: toby Date: Mon, 5 Jun 2017 21:47:32 -0400 Subject: [PATCH 08/47] Add "HTML to Text" operation --- src/core/config/OperationConfig.js | 8 ++++++++ src/core/operations/HTML.js | 10 ++++++++++ 2 files changed, 18 insertions(+) diff --git a/src/core/config/OperationConfig.js b/src/core/config/OperationConfig.js index 62ba46e5..cf8363f8 100755 --- a/src/core/config/OperationConfig.js +++ b/src/core/config/OperationConfig.js @@ -3509,6 +3509,14 @@ const OperationConfig = { value: Charts.COLOURS.max, }, ] + }, + "HTML to Text": { + description: [].join("\n"), + run: HTML.runHTMLToText, + inputType: "html", + outputType: "string", + args: [ + ] } }; diff --git a/src/core/operations/HTML.js b/src/core/operations/HTML.js index 601d6102..457124be 100755 --- a/src/core/operations/HTML.js +++ b/src/core/operations/HTML.js @@ -851,6 +851,16 @@ const HTML = { "diams" : 9830, }, + /** + * HTML to text operation + * + * @param {string} input + * @param {Object[]} args + * @returns {string} + */ + runHTMLToText(input, args) { + return input; + }, }; export default HTML; From 49ea532cdc36cb6a7a52ede3cc04b40e771a3d24 Mon Sep 17 00:00:00 2001 From: toby Date: Tue, 6 Jun 2017 09:46:46 -0400 Subject: [PATCH 09/47] Tweak extent of hex density charts --- src/core/operations/Charts.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js index 2202e0f1..e47d26e2 100755 --- a/src/core/operations/Charts.js +++ b/src/core/operations/Charts.js @@ -171,7 +171,7 @@ const Charts = { let xExtent = d3.extent(hexPoints, d => d.x), yExtent = d3.extent(hexPoints, d => d.y); xExtent[0] -= 2 * packRadius; - xExtent[1] += 2 * packRadius; + xExtent[1] += 3 * packRadius; yExtent[0] -= 2 * packRadius; yExtent[1] += 2 * packRadius; From 39ab60088774f5375206209d59cadfbf2e2a84e8 Mon Sep 17 00:00:00 2001 From: toby Date: Tue, 6 Jun 2017 14:01:23 -0400 Subject: [PATCH 10/47] Add scatter plot operation --- src/core/config/OperationConfig.js | 48 ++++++ src/core/operations/Charts.js | 241 +++++++++++++++++++++++++---- 2 files changed, 258 insertions(+), 31 deletions(-) diff --git a/src/core/config/OperationConfig.js b/src/core/config/OperationConfig.js index cf8363f8..d0565e7c 100755 --- a/src/core/config/OperationConfig.js +++ b/src/core/config/OperationConfig.js @@ -3510,6 +3510,54 @@ const OperationConfig = { }, ] }, + "Scatter chart": { + description: [].join("\n"), + run: Charts.runScatterChart, + inputType: "string", + outputType: "html", + args: [ + { + name: "Record delimiter", + type: "option", + value: Charts.RECORD_DELIMITER_OPTIONS, + }, + { + name: "Field delimiter", + type: "option", + value: Charts.FIELD_DELIMITER_OPTIONS, + }, + { + name: "Use column headers as labels", + type: "boolean", + value: true, + }, + { + name: "X label", + type: "string", + value: "", + }, + { + name: "Y label", + type: "string", + value: "", + }, + { + name: "Colour", + type: "string", + value: Charts.COLOURS.max, + }, + { + name: "Point radius", + type: "number", + value: 10, + }, + { + name: "Use colour from third column", + type: "boolean", + value: false, + }, + ] + }, "HTML to Text": { description: [].join("\n"), run: HTML.runHTMLToText, diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js index e47d26e2..06a3cb62 100755 --- a/src/core/operations/Charts.js +++ b/src/core/operations/Charts.js @@ -26,6 +26,49 @@ const Charts = { FIELD_DELIMITER_OPTIONS: ["Space", "Comma", "Semi-colon", "Colon", "Tab"], + /** + * Default from colour + * + * @constant + * @default + */ + COLOURS: { + min: "white", + max: "black", + }, + + + /** + * Gets values from input for a plot. + * + * @param {string} input + * @param {string} recordDelimiter + * @param {string} fieldDelimiter + * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record + * @returns {Object[]} + */ + _getValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded, length) { + let headings; + const values = []; + + input + .split(recordDelimiter) + .forEach((row, rowIndex) => { + let split = row.split(fieldDelimiter); + + if (split.length !== length) throw `Each row must have length ${length}.`; + + if (columnHeadingsAreIncluded && rowIndex === 0) { + headings = split; + } else { + values.push(split); + } + }); + + return { headings, values}; + }, + + /** * Gets values from input for a scatter plot. * @@ -36,47 +79,64 @@ const Charts = { * @returns {Object[]} */ _getScatterValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { - let headings; - const values = []; + let { headings, values } = Charts._getValues( + input, + recordDelimiter, fieldDelimiter, + columnHeadingsAreIncluded, + 2 + ); - input - .split(recordDelimiter) - .forEach((row, rowIndex) => { - let split = row.split(fieldDelimiter); + if (headings) { + headings = {x: headings[0], y: headings[1]}; + } - if (split.length !== 2) throw "Each row must have length 2."; + values = values.map(row => { + let x = parseFloat(row[0], 10), + y = parseFloat(row[1], 10); - if (columnHeadingsAreIncluded && rowIndex === 0) { - headings = {}; - headings.x = split[0]; - headings.y = split[1]; - } else { - let x = split[0], - y = split[1]; + if (Number.isNaN(x)) throw "Values must be numbers in base 10."; + if (Number.isNaN(y)) throw "Values must be numbers in base 10."; - x = parseFloat(x, 10); - if (Number.isNaN(x)) throw "Values must be numbers in base 10."; + return [x, y]; + }); - y = parseFloat(y, 10); - if (Number.isNaN(y)) throw "Values must be numbers in base 10."; - - values.push([x, y]); - } - }); - - return { headings, values}; + return { headings, values }; }, - + /** - * Default from colour + * Gets values from input for a scatter plot with colour from the third column. * - * @constant - * @default + * @param {string} input + * @param {string} recordDelimiter + * @param {string} fieldDelimiter + * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record + * @returns {Object[]} */ - COLOURS: { - min: "white", - max: "black", + _getScatterValuesWithColour(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { + let { headings, values } = Charts._getValues( + input, + recordDelimiter, fieldDelimiter, + columnHeadingsAreIncluded, + 3 + ); + + if (headings) { + headings = {x: headings[0], y: headings[1]}; + } + + values = values.map(row => { + let x = parseFloat(row[0], 10), + y = parseFloat(row[1], 10), + colour = row[2]; + + if (Number.isNaN(x)) throw "Values must be numbers in base 10."; + if (Number.isNaN(y)) throw "Values must be numbers in base 10."; + + return [x, y, colour]; + }); + + return { headings, values }; }, @@ -451,6 +511,125 @@ const Charts = { return svg._groups[0][0].outerHTML; }, + + + /** + * Scatter chart operation. + * + * @param {string} input + * @param {Object[]} args + * @returns {html} + */ + runScatterChart: function (input, args) { + const recordDelimiter = Utils.charRep[args[0]], + fieldDelimiter = Utils.charRep[args[1]], + columnHeadingsAreIncluded = args[2], + fillColour = args[5], + radius = args[6], + colourInInput = args[7], + dimension = 500; + + let xLabel = args[3], + yLabel = args[4]; + + let dataFunction = colourInInput ? Charts._getScatterValuesWithColour : Charts._getScatterValues; + + let { headings, values } = dataFunction( + input, + recordDelimiter, + fieldDelimiter, + columnHeadingsAreIncluded + ); + + if (headings) { + xLabel = headings.x; + yLabel = headings.y; + } + + let svg = document.createElement("svg"); + svg = d3.select(svg) + .attr("width", "100%") + .attr("height", "100%") + .attr("viewBox", `0 0 ${dimension} ${dimension}`); + + let margin = { + top: 10, + right: 0, + bottom: 40, + left: 30, + }, + width = dimension - margin.left - margin.right, + height = dimension - margin.top - margin.bottom, + marginedSpace = svg.append("g") + .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); + + let xExtent = d3.extent(values, d => d[0]), + xDelta = xExtent[1] - xExtent[0], + yExtent = d3.extent(values, d => d[1]), + yDelta = yExtent[1] - yExtent[0], + xAxis = d3.scaleLinear() + .domain([xExtent[0] - (0.1 * xDelta), xExtent[1] + (0.1 * xDelta)]) + .range([0, width]), + yAxis = d3.scaleLinear() + .domain([yExtent[0] - (0.1 * yDelta), yExtent[1] + (0.1 * yDelta)]) + .range([height, 0]); + + marginedSpace.append("clipPath") + .attr("id", "clip") + .append("rect") + .attr("width", width) + .attr("height", height); + + marginedSpace.append("g") + .attr("class", "points") + .attr("clip-path", "url(#clip)") + .selectAll("circle") + .data(values) + .enter() + .append("circle") + .attr("cx", (d) => xAxis(d[0])) + .attr("cy", (d) => yAxis(d[1])) + .attr("r", d => radius) + .attr("fill", d => { + return colourInInput ? d[2] : fillColour; + }) + .attr("stroke", "rgba(0, 0, 0, 0.5)") + .attr("stroke-width", "0.5") + .append("title") + .text(d => { + let x = d[0], + y = d[1], + tooltip = `X: ${x}\n + Y: ${y}\n + `.replace(/\s{2,}/g, "\n"); + return tooltip; + }); + + marginedSpace.append("g") + .attr("class", "axis axis--y") + .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); + + svg.append("text") + .attr("transform", "rotate(-90)") + .attr("y", -margin.left) + .attr("x", -(height / 2)) + .attr("dy", "1em") + .style("text-anchor", "middle") + .text(yLabel); + + marginedSpace.append("g") + .attr("class", "axis axis--x") + .attr("transform", "translate(0," + height + ")") + .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); + + svg.append("text") + .attr("x", width / 2) + .attr("y", dimension) + .style("text-anchor", "middle") + .text(xLabel); + + return svg._groups[0][0].outerHTML; + }, }; export default Charts; From 6784a1c0276c83e7e35020f3953a6b839c67239d Mon Sep 17 00:00:00 2001 From: toby Date: Tue, 20 Jun 2017 15:25:16 -0400 Subject: [PATCH 11/47] Add Series chart operation --- src/core/config/OperationConfig.js | 33 +++++ src/core/operations/Charts.js | 208 ++++++++++++++++++++++++++++- 2 files changed, 240 insertions(+), 1 deletion(-) diff --git a/src/core/config/OperationConfig.js b/src/core/config/OperationConfig.js index d0565e7c..f9b5937d 100755 --- a/src/core/config/OperationConfig.js +++ b/src/core/config/OperationConfig.js @@ -3558,6 +3558,39 @@ const OperationConfig = { }, ] }, + "Series chart": { + description: [].join("\n"), + run: Charts.runSeriesChart, + inputType: "string", + outputType: "html", + args: [ + { + name: "Record delimiter", + type: "option", + value: Charts.RECORD_DELIMITER_OPTIONS, + }, + { + name: "Field delimiter", + type: "option", + value: Charts.FIELD_DELIMITER_OPTIONS, + }, + { + name: "X label", + type: "string", + value: "", + }, + { + name: "Point radius", + type: "number", + value: 1, + }, + { + name: "Series colours", + type: "string", + value: "mediumseagreen, dodgerblue, tomato", + }, + ] + }, "HTML to Text": { description: [].join("\n"), run: HTML.runHTMLToText, diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js index 06a3cb62..2ce084d0 100755 --- a/src/core/operations/Charts.js +++ b/src/core/operations/Charts.js @@ -103,7 +103,7 @@ const Charts = { return { headings, values }; }, - + /** * Gets values from input for a scatter plot with colour from the third column. * @@ -140,6 +140,50 @@ const Charts = { }, + /** + * Gets values from input for a time series plot. + * + * @param {string} input + * @param {string} recordDelimiter + * @param {string} fieldDelimiter + * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record + * @returns {Object[]} + */ + _getSeriesValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { + let { headings, values } = Charts._getValues( + input, + recordDelimiter, fieldDelimiter, + false, + 3 + ); + + let xValues = new Set(), + series = {}; + + values = values.forEach(row => { + let serie = row[0], + xVal = row[1], + val = parseFloat(row[2], 10); + + if (Number.isNaN(val)) throw "Values must be numbers in base 10."; + + xValues.add(xVal); + if (typeof series[serie] === "undefined") series[serie] = {}; + series[serie][xVal] = val; + }); + + xValues = new Array(...xValues); + + const seriesList = []; + for (let seriesName in series) { + let serie = series[seriesName]; + seriesList.push({name: seriesName, data: serie}); + } + + return { xValues, series: seriesList }; + }, + + /** * Hex Bin chart operation. * @@ -630,6 +674,168 @@ const Charts = { return svg._groups[0][0].outerHTML; }, + + + /** + * Series chart operation. + * + * @param {string} input + * @param {Object[]} args + * @returns {html} + */ + runSeriesChart(input, args) { + const recordDelimiter = Utils.charRep[args[0]], + fieldDelimiter = Utils.charRep[args[1]], + xLabel = args[2], + pipRadius = args[3], + seriesColours = args[4].split(","), + svgWidth = 500, + interSeriesPadding = 20, + xAxisHeight = 50, + seriesLabelWidth = 50, + seriesHeight = 100, + seriesWidth = svgWidth - seriesLabelWidth - interSeriesPadding; + + let { xValues, series } = Charts._getSeriesValues(input, recordDelimiter, fieldDelimiter), + allSeriesHeight = Object.keys(series).length * (interSeriesPadding + seriesHeight), + svgHeight = allSeriesHeight + xAxisHeight + interSeriesPadding; + + let svg = document.createElement("svg"); + svg = d3.select(svg) + .attr("width", "100%") + .attr("height", "100%") + .attr("viewBox", `0 0 ${svgWidth} ${svgHeight}`); + + let xAxis = d3.scalePoint() + .domain(xValues) + .range([0, seriesWidth]); + + svg.append("g") + .attr("class", "axis axis--x") + .attr("transform", `translate(${seriesLabelWidth}, ${xAxisHeight})`) + .call( + d3.axisTop(xAxis).tickValues(xValues.filter((x, i) => { + return [0, Math.round(xValues.length / 2), xValues.length -1].indexOf(i) >= 0; + })) + ); + + svg.append("text") + .attr("x", svgWidth / 2) + .attr("y", xAxisHeight / 2) + .style("text-anchor", "middle") + .text(xLabel); + + let tooltipText = {}, + tooltipAreaWidth = seriesWidth / xValues.length; + + xValues.forEach(x => { + let tooltip = []; + + series.forEach(serie => { + let y = serie.data[x]; + if (typeof y === "undefined") return; + + tooltip.push(`${serie.name}: ${y}`); + }); + + tooltipText[x] = tooltip.join("\n"); + }); + + let chartArea = svg.append("g") + .attr("transform", `translate(${seriesLabelWidth}, ${xAxisHeight})`); + + chartArea + .append("g") + .selectAll("rect") + .data(xValues) + .enter() + .append("rect") + .attr("x", x => { + return xAxis(x) - (tooltipAreaWidth / 2); + }) + .attr("y", 0) + .attr("width", tooltipAreaWidth) + .attr("height", allSeriesHeight) + .attr("stroke", "none") + .attr("fill", "transparent") + .append("title") + .text(x => { + return `${x}\n + --\n + ${tooltipText[x]}\n + `.replace(/\s{2,}/g, "\n"); + }); + + let yAxesArea = svg.append("g") + .attr("transform", `translate(0, ${xAxisHeight})`); + + series.forEach((serie, seriesIndex) => { + let yExtent = d3.extent(Object.values(serie.data)), + yAxis = d3.scaleLinear() + .domain(yExtent) + .range([seriesHeight, 0]); + + let seriesGroup = chartArea + .append("g") + .attr("transform", `translate(0, ${seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`); + + let path = ""; + xValues.forEach((x, xIndex) => { + let nextX = xValues[xIndex + 1], + y = serie.data[x], + nextY= serie.data[nextX]; + + if (typeof y === "undefined" || typeof nextY === "undefined") return; + + x = xAxis(x); nextX = xAxis(nextX); + y = yAxis(y); nextY = yAxis(nextY); + + path += `M ${x} ${y} L ${nextX} ${nextY} z `; + }); + + seriesGroup + .append("path") + .attr("d", path) + .attr("fill", "none") + .attr("stroke", seriesColours[seriesIndex % seriesColours.length]) + .attr("stroke-width", "1"); + + xValues.forEach(x => { + let y = serie.data[x]; + if (typeof y === "undefined") return; + + seriesGroup + .append("circle") + .attr("cx", xAxis(x)) + .attr("cy", yAxis(y)) + .attr("r", pipRadius) + .attr("fill", seriesColours[seriesIndex % seriesColours.length]) + .append("title") + .text(d => { + return `${x}\n + --\n + ${tooltipText[x]}\n + `.replace(/\s{2,}/g, "\n"); + }); + }); + + yAxesArea + .append("g") + .attr("transform", `translate(${seriesLabelWidth - interSeriesPadding}, ${seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`) + .attr("class", "axis axis--y") + .call(d3.axisLeft(yAxis).ticks(5)); + + yAxesArea + .append("g") + .attr("transform", `translate(0, ${seriesHeight / 2 + seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`) + .append("text") + .style("text-anchor", "middle") + .attr("transform", "rotate(-90)") + .text(serie.name); + }); + + return svg._groups[0][0].outerHTML; + }, }; export default Charts; From da2d5674a5a48637cd4f3e530f491aa91257b8e5 Mon Sep 17 00:00:00 2001 From: Matt Date: Sat, 23 Feb 2019 00:41:19 +0000 Subject: [PATCH 12/47] Ported heatmap and hex density chart ops --- package-lock.json | 414 ++++++++++-- src/core/lib/Charts.mjs | 177 +++++ src/core/operations/Charts.js | 841 ------------------------ src/core/operations/HeatmapChart.mjs | 260 ++++++++ src/core/operations/HexDensityChart.mjs | 287 ++++++++ src/core/operations/legacy/Charts.js | 297 +++++++++ 6 files changed, 1362 insertions(+), 914 deletions(-) create mode 100644 src/core/lib/Charts.mjs delete mode 100755 src/core/operations/Charts.js create mode 100644 src/core/operations/HeatmapChart.mjs create mode 100644 src/core/operations/HexDensityChart.mjs create mode 100755 src/core/operations/legacy/Charts.js diff --git a/package-lock.json b/package-lock.json index 55ad6303..207a3058 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1631,7 +1631,7 @@ }, "array-equal": { "version": "1.0.0", - "resolved": "http://registry.npmjs.org/array-equal/-/array-equal-1.0.0.tgz", + "resolved": "https://registry.npmjs.org/array-equal/-/array-equal-1.0.0.tgz", "integrity": "sha1-jCpe8kcv2ep0KwTHenUJO6J1fJM=", "dev": true }, @@ -1716,7 +1716,7 @@ }, "util": { "version": "0.10.3", - "resolved": "http://registry.npmjs.org/util/-/util-0.10.3.tgz", + "resolved": "https://registry.npmjs.org/util/-/util-0.10.3.tgz", "integrity": "sha1-evsa/lCAUkZInj23/g7TeTNqwPk=", "dev": true, "requires": { @@ -1864,7 +1864,7 @@ }, "axios": { "version": "0.18.0", - "resolved": "http://registry.npmjs.org/axios/-/axios-0.18.0.tgz", + "resolved": "https://registry.npmjs.org/axios/-/axios-0.18.0.tgz", "integrity": "sha1-MtU+SFHv3AoRmTts0AB4nXDAUQI=", "dev": true, "requires": { @@ -2334,7 +2334,7 @@ }, "browserify-aes": { "version": "1.2.0", - "resolved": "http://registry.npmjs.org/browserify-aes/-/browserify-aes-1.2.0.tgz", + "resolved": "https://registry.npmjs.org/browserify-aes/-/browserify-aes-1.2.0.tgz", "integrity": "sha512-+7CHXqGuspUn/Sl5aO7Ea0xWGAtETPXNSAjHo48JfLdPWcMng33Xe4znFvQweqc/uzk5zSOI3H52CYnjCfb5hA==", "dev": true, "requires": { @@ -2371,7 +2371,7 @@ }, "browserify-rsa": { "version": "4.0.1", - "resolved": "http://registry.npmjs.org/browserify-rsa/-/browserify-rsa-4.0.1.tgz", + "resolved": "https://registry.npmjs.org/browserify-rsa/-/browserify-rsa-4.0.1.tgz", "integrity": "sha1-IeCr+vbyApzy+vsTNWenAdQTVSQ=", "dev": true, "requires": { @@ -2436,7 +2436,7 @@ }, "buffer": { "version": "4.9.1", - "resolved": "http://registry.npmjs.org/buffer/-/buffer-4.9.1.tgz", + "resolved": "https://registry.npmjs.org/buffer/-/buffer-4.9.1.tgz", "integrity": "sha1-bRu2AbB6TvztlwlBMgkwJ8lbwpg=", "dev": true, "requires": { @@ -2590,7 +2590,7 @@ }, "camelcase-keys": { "version": "2.1.0", - "resolved": "http://registry.npmjs.org/camelcase-keys/-/camelcase-keys-2.1.0.tgz", + "resolved": "https://registry.npmjs.org/camelcase-keys/-/camelcase-keys-2.1.0.tgz", "integrity": "sha1-MIvur/3ygRkFHvodkyITyRuPkuc=", "dev": true, "requires": { @@ -2639,7 +2639,7 @@ }, "chalk": { "version": "1.1.3", - "resolved": "http://registry.npmjs.org/chalk/-/chalk-1.1.3.tgz", + "resolved": "https://registry.npmjs.org/chalk/-/chalk-1.1.3.tgz", "integrity": "sha1-qBFcVeSnAv5NFQq9OHKCKn4J/Jg=", "requires": { "ansi-styles": "^2.2.1", @@ -3172,7 +3172,7 @@ }, "create-hash": { "version": "1.2.0", - "resolved": "http://registry.npmjs.org/create-hash/-/create-hash-1.2.0.tgz", + "resolved": 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"version": "1.0.1", - "resolved": "http://registry.npmjs.org/ncp/-/ncp-1.0.1.tgz", + "resolved": "https://registry.npmjs.org/ncp/-/ncp-1.0.1.tgz", "integrity": "sha1-0VNn5cuHQyuhF9K/gP30Wuz7QkY=", "dev": true }, @@ -8810,7 +9069,7 @@ "dependencies": { "semver": { "version": "5.3.0", - "resolved": "http://registry.npmjs.org/semver/-/semver-5.3.0.tgz", + "resolved": "https://registry.npmjs.org/semver/-/semver-5.3.0.tgz", "integrity": "sha1-myzl094C0XxgEq0yaqa00M9U+U8=", "dev": true } @@ -8993,7 +9252,7 @@ "dependencies": { "colors": { "version": "0.5.1", - "resolved": "http://registry.npmjs.org/colors/-/colors-0.5.1.tgz", + "resolved": "https://registry.npmjs.org/colors/-/colors-0.5.1.tgz", "integrity": "sha1-fQAj6usVTo7p/Oddy5I9DtFmd3Q=" }, "underscore": { @@ -9287,13 +9546,13 @@ }, "os-homedir": { "version": "1.0.2", - "resolved": "http://registry.npmjs.org/os-homedir/-/os-homedir-1.0.2.tgz", + "resolved": "https://registry.npmjs.org/os-homedir/-/os-homedir-1.0.2.tgz", "integrity": 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"version": "1.0.1", - "resolved": "http://registry.npmjs.org/path-is-absolute/-/path-is-absolute-1.0.1.tgz", + "resolved": "https://registry.npmjs.org/path-is-absolute/-/path-is-absolute-1.0.1.tgz", "integrity": "sha1-F0uSaHNVNP+8es5r9TpanhtcX18=", "dev": true }, @@ -9653,7 +9912,7 @@ "dependencies": { "pify": { "version": "2.3.0", - "resolved": "http://registry.npmjs.org/pify/-/pify-2.3.0.tgz", + "resolved": "https://registry.npmjs.org/pify/-/pify-2.3.0.tgz", "integrity": "sha1-7RQaasBDqEnqWISY59yosVMw6Qw=", "dev": true } @@ -9836,7 +10095,7 @@ "dependencies": { "async": { "version": "1.5.2", - "resolved": "http://registry.npmjs.org/async/-/async-1.5.2.tgz", + "resolved": "https://registry.npmjs.org/async/-/async-1.5.2.tgz", "integrity": "sha1-7GphrlZIDAw8skHJVhjiCJL5Zyo=", "dev": true } @@ -10207,7 +10466,7 @@ }, "progress": { "version": "1.1.8", - "resolved": "http://registry.npmjs.org/progress/-/progress-1.1.8.tgz", + "resolved": "https://registry.npmjs.org/progress/-/progress-1.1.8.tgz", "integrity": "sha1-4mDHj2Fhzdmw5WzD4Khd4Xx6V74=" }, "promise-inflight": { @@ -10232,13 +10491,13 @@ "dependencies": { "async": { "version": "1.0.0", - "resolved": "http://registry.npmjs.org/async/-/async-1.0.0.tgz", + "resolved": "https://registry.npmjs.org/async/-/async-1.0.0.tgz", "integrity": "sha1-+PwEyjoTeErenhZBr5hXjPvWR6k=", "dev": true }, "winston": { "version": "2.1.1", - "resolved": "http://registry.npmjs.org/winston/-/winston-2.1.1.tgz", + "resolved": "https://registry.npmjs.org/winston/-/winston-2.1.1.tgz", "integrity": "sha1-PJNJ0ZYgf9G9/51LxD73JRDjoS4=", "dev": true, "requires": { @@ -10253,7 +10512,7 @@ "dependencies": { "colors": { "version": "1.0.3", - "resolved": "http://registry.npmjs.org/colors/-/colors-1.0.3.tgz", + "resolved": "https://registry.npmjs.org/colors/-/colors-1.0.3.tgz", "integrity": "sha1-BDP0TYCWgP3rYO0mDxsMJi6CpAs=", "dev": true }, @@ -10476,7 +10735,7 @@ "dependencies": { "pify": { "version": "2.3.0", - "resolved": "http://registry.npmjs.org/pify/-/pify-2.3.0.tgz", + "resolved": "https://registry.npmjs.org/pify/-/pify-2.3.0.tgz", "integrity": "sha1-7RQaasBDqEnqWISY59yosVMw6Qw=", "dev": true } @@ -10665,7 +10924,7 @@ "dependencies": { "jsesc": { "version": "0.5.0", - "resolved": "http://registry.npmjs.org/jsesc/-/jsesc-0.5.0.tgz", + "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-0.5.0.tgz", "integrity": "sha1-597mbjXW/Bb3EP6R1c9p9w8IkR0=", "dev": true } @@ -10716,7 +10975,7 @@ }, "htmlparser2": { "version": "3.3.0", - "resolved": "http://registry.npmjs.org/htmlparser2/-/htmlparser2-3.3.0.tgz", + "resolved": "https://registry.npmjs.org/htmlparser2/-/htmlparser2-3.3.0.tgz", "integrity": "sha1-zHDQWln2VC5D8OaFyYLhTJJKnv4=", "dev": true, "requires": { @@ -10728,7 +10987,7 @@ }, "readable-stream": { "version": "1.0.34", - "resolved": "http://registry.npmjs.org/readable-stream/-/readable-stream-1.0.34.tgz", + "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-1.0.34.tgz", "integrity": "sha1-Elgg40vIQtLyqq+v5MKRbuMsFXw=", "dev": true, "requires": { @@ -10973,6 +11232,11 @@ "aproba": "^1.1.1" } }, + "rw": { + "version": "1.3.3", + "resolved": "https://registry.npmjs.org/rw/-/rw-1.3.3.tgz", + "integrity": "sha1-P4Yt+pGrdmsUiF700BEkv9oHT7Q=" + }, "rxjs": { "version": "6.4.0", "resolved": "https://registry.npmjs.org/rxjs/-/rxjs-6.4.0.tgz", @@ -10995,7 +11259,7 @@ }, "safe-regex": { "version": "1.1.0", - "resolved": "http://registry.npmjs.org/safe-regex/-/safe-regex-1.1.0.tgz", + "resolved": "https://registry.npmjs.org/safe-regex/-/safe-regex-1.1.0.tgz", "integrity": "sha1-QKNmnzsHfR6UPURinhV91IAjvy4=", "dev": true, "requires": { @@ -11005,8 +11269,7 @@ "safer-buffer": { "version": "2.1.2", "resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz", - "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==", - "dev": true + "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==" }, "sanitize-html": { "version": "1.19.1", @@ -11315,7 +11578,7 @@ }, "sha.js": { "version": "2.4.11", - "resolved": "http://registry.npmjs.org/sha.js/-/sha.js-2.4.11.tgz", + "resolved": "https://registry.npmjs.org/sha.js/-/sha.js-2.4.11.tgz", "integrity": "sha512-QMEp5B7cftE7APOjk5Y6xgrbWu+WkLVQwk8JNjZ8nKRciZaByEW6MubieAiToS7+dwvrjGhH8jRXz3MVd0AYqQ==", "dev": true, "requires": { @@ -11359,7 +11622,7 @@ }, "shelljs": { "version": "0.3.0", - "resolved": "http://registry.npmjs.org/shelljs/-/shelljs-0.3.0.tgz", + "resolved": "https://registry.npmjs.org/shelljs/-/shelljs-0.3.0.tgz", "integrity": "sha1-NZbmMHp4FUT1kfN9phg2DzHbV7E=", "dev": true }, @@ -12080,7 +12343,7 @@ }, "strip-ansi": { "version": "3.0.1", - "resolved": "http://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz", + "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz", "integrity": "sha1-ajhfuIU9lS1f8F0Oiq+UJ43GPc8=", "requires": { "ansi-regex": "^2.0.0" @@ -12097,7 +12360,7 @@ }, "strip-eof": { "version": "1.0.0", - "resolved": "http://registry.npmjs.org/strip-eof/-/strip-eof-1.0.0.tgz", + "resolved": "https://registry.npmjs.org/strip-eof/-/strip-eof-1.0.0.tgz", "integrity": "sha1-u0P/VZim6wXYm1n80SnJgzE2Br8=", "dev": true }, @@ -12190,7 +12453,7 @@ }, "tar": { "version": "2.2.1", - "resolved": "http://registry.npmjs.org/tar/-/tar-2.2.1.tgz", + "resolved": "https://registry.npmjs.org/tar/-/tar-2.2.1.tgz", "integrity": "sha1-jk0qJWwOIYXGsYrWlK7JaLg8sdE=", "dev": true, "requires": { @@ -12348,7 +12611,7 @@ }, "through": { "version": "2.3.8", - "resolved": "http://registry.npmjs.org/through/-/through-2.3.8.tgz", + "resolved": "https://registry.npmjs.org/through/-/through-2.3.8.tgz", "integrity": "sha1-DdTJ/6q8NXlgsbckEV1+Doai4fU=", "dev": true }, @@ -13008,7 +13271,7 @@ "dependencies": { "async": { "version": "0.9.2", - "resolved": "http://registry.npmjs.org/async/-/async-0.9.2.tgz", + "resolved": "https://registry.npmjs.org/async/-/async-0.9.2.tgz", "integrity": "sha1-rqdNXmHB+JlhO/ZL2mbUx48v0X0=", "dev": true }, @@ -13034,7 +13297,7 @@ }, "valid-data-url": { "version": "0.1.6", - "resolved": "http://registry.npmjs.org/valid-data-url/-/valid-data-url-0.1.6.tgz", + "resolved": "https://registry.npmjs.org/valid-data-url/-/valid-data-url-0.1.6.tgz", "integrity": "sha512-FXg2qXMzfAhZc0y2HzELNfUeiOjPr+52hU1DNBWiJJ2luXD+dD1R9NA48Ug5aj0ibbxroeGDc/RJv6ThiGgkDw==", "dev": true }, @@ -13050,7 +13313,7 @@ }, "validator": { "version": "9.4.1", - "resolved": "http://registry.npmjs.org/validator/-/validator-9.4.1.tgz", + "resolved": "https://registry.npmjs.org/validator/-/validator-9.4.1.tgz", "integrity": "sha512-YV5KjzvRmSyJ1ee/Dm5UED0G+1L4GZnLN3w6/T+zZm8scVua4sOhYKWTUrKa0H/tMiJyO9QLHMPN+9mB/aMunA==", "dev": true }, @@ -13582,7 +13845,7 @@ }, "webpack-node-externals": { "version": "1.7.2", - "resolved": "http://registry.npmjs.org/webpack-node-externals/-/webpack-node-externals-1.7.2.tgz", + "resolved": "https://registry.npmjs.org/webpack-node-externals/-/webpack-node-externals-1.7.2.tgz", "integrity": "sha512-ajerHZ+BJKeCLviLUUmnyd5B4RavLF76uv3cs6KNuO8W+HuQaEs0y0L7o40NQxdPy5w0pcv8Ew7yPUAQG0UdCg==", "dev": true }, @@ -13736,14 +13999,14 @@ "dependencies": { "async": { "version": "1.0.0", - "resolved": "http://registry.npmjs.org/async/-/async-1.0.0.tgz", + "resolved": "https://registry.npmjs.org/async/-/async-1.0.0.tgz", "integrity": "sha1-+PwEyjoTeErenhZBr5hXjPvWR6k=", "dev": true, "optional": true }, "colors": { "version": "1.0.3", - "resolved": "http://registry.npmjs.org/colors/-/colors-1.0.3.tgz", + "resolved": "https://registry.npmjs.org/colors/-/colors-1.0.3.tgz", "integrity": "sha1-BDP0TYCWgP3rYO0mDxsMJi6CpAs=", "dev": true, "optional": true @@ -13776,7 +14039,7 @@ }, "wrap-ansi": { "version": "2.1.0", - "resolved": "http://registry.npmjs.org/wrap-ansi/-/wrap-ansi-2.1.0.tgz", + "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-2.1.0.tgz", "integrity": "sha1-2Pw9KE3QV5T+hJc8rs3Rz4JP3YU=", "dev": true, "requires": { @@ -13885,6 +14148,11 @@ "resolved": "https://registry.npmjs.org/xmldom/-/xmldom-0.1.27.tgz", "integrity": "sha1-1QH5ezvbQDr4757MIFcxh6rawOk=" }, + "xmlhttprequest": { + "version": "1.8.0", + "resolved": "https://registry.npmjs.org/xmlhttprequest/-/xmlhttprequest-1.8.0.tgz", + "integrity": "sha1-Z/4HXFwk/vOfnWX197f+dRcZaPw=" + }, "xpath": { "version": "0.0.27", "resolved": "https://registry.npmjs.org/xpath/-/xpath-0.0.27.tgz", diff --git a/src/core/lib/Charts.mjs b/src/core/lib/Charts.mjs new file mode 100644 index 00000000..8cb9d224 --- /dev/null +++ b/src/core/lib/Charts.mjs @@ -0,0 +1,177 @@ +/** + * @author tlwr [toby@toby.codes] - Original + * @author Matt C [matt@artemisbot.uk] - Conversion to new format + * @copyright Crown Copyright 2019 + * @license Apache-2.0 + */ + +import OperationError from "../errors/OperationError"; + + /** + * @constant + * @default + */ +export const RECORD_DELIMITER_OPTIONS = ["Line feed", "CRLF"]; + + +/** + * @constant + * @default + */ +export const FIELD_DELIMITER_OPTIONS = ["Space", "Comma", "Semi-colon", "Colon", "Tab"]; + + +/** + * Default from colour + * + * @constant + * @default + */ +export const COLOURS = { + min: "white", + max: "black" +}; + + +/** + * Gets values from input for a plot. + * + * @param {string} input + * @param {string} recordDelimiter + * @param {string} fieldDelimiter + * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record + * @returns {Object[]} + */ +export function getValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded, length) { + let headings; + const values = []; + + input + .split(recordDelimiter) + .forEach((row, rowIndex) => { + const split = row.split(fieldDelimiter); + + if (split.length !== length) throw new OperationError(`Each row must have length ${length}.`); + + if (columnHeadingsAreIncluded && rowIndex === 0) { + headings = split; + } else { + values.push(split); + } + }); + + return { headings, values}; +} + + +/** + * Gets values from input for a scatter plot. + * + * @param {string} input + * @param {string} recordDelimiter + * @param {string} fieldDelimiter + * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record + * @returns {Object[]} + */ +export function getScatterValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { + let { headings, values } = getValues( + input, + recordDelimiter, fieldDelimiter, + columnHeadingsAreIncluded, + 2 + ); + + if (headings) { + headings = {x: headings[0], y: headings[1]}; + } + + values = values.map(row => { + const x = parseFloat(row[0], 10), + y = parseFloat(row[1], 10); + + if (Number.isNaN(x)) throw new OperationError("Values must be numbers in base 10."); + if (Number.isNaN(y)) throw new OperationError("Values must be numbers in base 10."); + + return [x, y]; + }); + + return { headings, values }; +} + +/** + * Gets values from input for a scatter plot with colour from the third column. + * + * @param {string} input + * @param {string} recordDelimiter + * @param {string} fieldDelimiter + * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record + * @returns {Object[]} + */ +export function getScatterValuesWithColour(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { + let { headings, values } = getValues( + input, + recordDelimiter, fieldDelimiter, + columnHeadingsAreIncluded, + 3 + ); + + if (headings) { + headings = {x: headings[0], y: headings[1]}; + } + + values = values.map(row => { + const x = parseFloat(row[0], 10), + y = parseFloat(row[1], 10), + colour = row[2]; + + if (Number.isNaN(x)) throw new OperationError("Values must be numbers in base 10."); + if (Number.isNaN(y)) throw new OperationError("Values must be numbers in base 10."); + + return [x, y, colour]; + }); + + return { headings, values }; +} + +/** + * Gets values from input for a time series plot. + * + * @param {string} input + * @param {string} recordDelimiter + * @param {string} fieldDelimiter + * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record + * @returns {Object[]} + */ +export function getSeriesValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { + const { values } = getValues( + input, + recordDelimiter, fieldDelimiter, + false, + 3 + ); + + let xValues = new Set(); + const series = {}; + + values.forEach(row => { + const serie = row[0], + xVal = row[1], + val = parseFloat(row[2], 10); + + if (Number.isNaN(val)) throw new OperationError("Values must be numbers in base 10."); + + xValues.add(xVal); + if (typeof series[serie] === "undefined") series[serie] = {}; + series[serie][xVal] = val; + }); + + xValues = new Array(...xValues); + + const seriesList = []; + for (const seriesName in series) { + const serie = series[seriesName]; + seriesList.push({name: seriesName, data: serie}); + } + + return { xValues, series: seriesList }; +} diff --git a/src/core/operations/Charts.js b/src/core/operations/Charts.js deleted file mode 100755 index 2ce084d0..00000000 --- a/src/core/operations/Charts.js +++ /dev/null @@ -1,841 +0,0 @@ -import * as d3 from "d3"; -import {hexbin as d3hexbin} from "d3-hexbin"; -import Utils from "../Utils.js"; - -/** - * Charting operations. - * - * @author tlwr [toby@toby.com] - * @copyright Crown Copyright 2016 - * @license Apache-2.0 - * - * @namespace - */ -const Charts = { - /** - * @constant - * @default - */ - RECORD_DELIMITER_OPTIONS: ["Line feed", "CRLF"], - - - /** - * @constant - * @default - */ - FIELD_DELIMITER_OPTIONS: ["Space", "Comma", "Semi-colon", "Colon", "Tab"], - - - /** - * Default from colour - * - * @constant - * @default - */ - COLOURS: { - min: "white", - max: "black", - }, - - - /** - * Gets values from input for a plot. - * - * @param {string} input - * @param {string} recordDelimiter - * @param {string} fieldDelimiter - * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record - * @returns {Object[]} - */ - _getValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded, length) { - let headings; - const values = []; - - input - .split(recordDelimiter) - .forEach((row, rowIndex) => { - let split = row.split(fieldDelimiter); - - if (split.length !== length) throw `Each row must have length ${length}.`; - - if (columnHeadingsAreIncluded && rowIndex === 0) { - headings = split; - } else { - values.push(split); - } - }); - - return { headings, values}; - }, - - - /** - * Gets values from input for a scatter plot. - * - * @param {string} input - * @param {string} recordDelimiter - * @param {string} fieldDelimiter - * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record - * @returns {Object[]} - */ - _getScatterValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { - let { headings, values } = Charts._getValues( - input, - recordDelimiter, fieldDelimiter, - columnHeadingsAreIncluded, - 2 - ); - - if (headings) { - headings = {x: headings[0], y: headings[1]}; - } - - values = values.map(row => { - let x = parseFloat(row[0], 10), - y = parseFloat(row[1], 10); - - if (Number.isNaN(x)) throw "Values must be numbers in base 10."; - if (Number.isNaN(y)) throw "Values must be numbers in base 10."; - - return [x, y]; - }); - - return { headings, values }; - }, - - - /** - * Gets values from input for a scatter plot with colour from the third column. - * - * @param {string} input - * @param {string} recordDelimiter - * @param {string} fieldDelimiter - * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record - * @returns {Object[]} - */ - _getScatterValuesWithColour(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { - let { headings, values } = Charts._getValues( - input, - recordDelimiter, fieldDelimiter, - columnHeadingsAreIncluded, - 3 - ); - - if (headings) { - headings = {x: headings[0], y: headings[1]}; - } - - values = values.map(row => { - let x = parseFloat(row[0], 10), - y = parseFloat(row[1], 10), - colour = row[2]; - - if (Number.isNaN(x)) throw "Values must be numbers in base 10."; - if (Number.isNaN(y)) throw "Values must be numbers in base 10."; - - return [x, y, colour]; - }); - - return { headings, values }; - }, - - - /** - * Gets values from input for a time series plot. - * - * @param {string} input - * @param {string} recordDelimiter - * @param {string} fieldDelimiter - * @param {boolean} columnHeadingsAreIncluded - whether we should skip the first record - * @returns {Object[]} - */ - _getSeriesValues(input, recordDelimiter, fieldDelimiter, columnHeadingsAreIncluded) { - let { headings, values } = Charts._getValues( - input, - recordDelimiter, fieldDelimiter, - false, - 3 - ); - - let xValues = new Set(), - series = {}; - - values = values.forEach(row => { - let serie = row[0], - xVal = row[1], - val = parseFloat(row[2], 10); - - if (Number.isNaN(val)) throw "Values must be numbers in base 10."; - - xValues.add(xVal); - if (typeof series[serie] === "undefined") series[serie] = {}; - series[serie][xVal] = val; - }); - - xValues = new Array(...xValues); - - const seriesList = []; - for (let seriesName in series) { - let serie = series[seriesName]; - seriesList.push({name: seriesName, data: serie}); - } - - return { xValues, series: seriesList }; - }, - - - /** - * Hex Bin chart operation. - * - * @param {Object[]} - centres - * @param {number} - radius - * @returns {Object[]} - */ - _getEmptyHexagons(centres, radius) { - const emptyCentres = []; - let boundingRect = [d3.extent(centres, d => d.x), d3.extent(centres, d => d.y)], - indent = false, - hexagonCenterToEdge = Math.cos(2 * Math.PI / 12) * radius, - hexagonEdgeLength = Math.sin(2 * Math.PI / 12) * radius; - - for (let y = boundingRect[1][0]; y <= boundingRect[1][1] + radius; y += hexagonEdgeLength + radius) { - for (let x = boundingRect[0][0]; x <= boundingRect[0][1] + radius; x += 2 * hexagonCenterToEdge) { - let cx = x, - cy = y; - - if (indent && x >= boundingRect[0][1]) break; - if (indent) cx += hexagonCenterToEdge; - - emptyCentres.push({x: cx, y: cy}); - } - indent = !indent; - } - - return emptyCentres; - }, - - - /** - * Hex Bin chart operation. - * - * @param {string} input - * @param {Object[]} args - * @returns {html} - */ - runHexDensityChart: function (input, args) { - const recordDelimiter = Utils.charRep[args[0]], - fieldDelimiter = Utils.charRep[args[1]], - packRadius = args[2], - drawRadius = args[3], - columnHeadingsAreIncluded = args[4], - drawEdges = args[7], - minColour = args[8], - maxColour = args[9], - drawEmptyHexagons = args[10], - dimension = 500; - - let xLabel = args[5], - yLabel = args[6], - { headings, values } = Charts._getScatterValues( - input, - recordDelimiter, - fieldDelimiter, - columnHeadingsAreIncluded - ); - - if (headings) { - xLabel = headings.x; - yLabel = headings.y; - } - - let svg = document.createElement("svg"); - svg = d3.select(svg) - .attr("width", "100%") - .attr("height", "100%") - .attr("viewBox", `0 0 ${dimension} ${dimension}`); - - let margin = { - top: 10, - right: 0, - bottom: 40, - left: 30, - }, - width = dimension - margin.left - margin.right, - height = dimension - margin.top - margin.bottom, - marginedSpace = svg.append("g") - .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); - - let hexbin = d3hexbin() - .radius(packRadius) - .extent([0, 0], [width, height]); - - let hexPoints = hexbin(values), - maxCount = Math.max(...hexPoints.map(b => b.length)); - - let xExtent = d3.extent(hexPoints, d => d.x), - yExtent = d3.extent(hexPoints, d => d.y); - xExtent[0] -= 2 * packRadius; - xExtent[1] += 3 * packRadius; - yExtent[0] -= 2 * packRadius; - yExtent[1] += 2 * packRadius; - - let xAxis = d3.scaleLinear() - .domain(xExtent) - .range([0, width]); - let yAxis = d3.scaleLinear() - .domain(yExtent) - .range([height, 0]); - - let colour = d3.scaleSequential(d3.interpolateLab(minColour, maxColour)) - .domain([0, maxCount]); - - marginedSpace.append("clipPath") - .attr("id", "clip") - .append("rect") - .attr("width", width) - .attr("height", height); - - if (drawEmptyHexagons) { - marginedSpace.append("g") - .attr("class", "empty-hexagon") - .selectAll("path") - .data(Charts._getEmptyHexagons(hexPoints, packRadius)) - .enter() - .append("path") - .attr("d", d => { - return `M${xAxis(d.x)},${yAxis(d.y)} ${hexbin.hexagon(drawRadius)}`; - }) - .attr("fill", (d) => colour(0)) - .attr("stroke", drawEdges ? "black" : "none") - .attr("stroke-width", drawEdges ? "0.5" : "none") - .append("title") - .text(d => { - let count = 0, - perc = 0, - tooltip = `Count: ${count}\n - Percentage: ${perc.toFixed(2)}%\n - Center: ${d.x.toFixed(2)}, ${d.y.toFixed(2)}\n - `.replace(/\s{2,}/g, "\n"); - return tooltip; - }); - } - - marginedSpace.append("g") - .attr("class", "hexagon") - .attr("clip-path", "url(#clip)") - .selectAll("path") - .data(hexPoints) - .enter() - .append("path") - .attr("d", d => { - return `M${xAxis(d.x)},${yAxis(d.y)} ${hexbin.hexagon(drawRadius)}`; - }) - .attr("fill", (d) => colour(d.length)) - .attr("stroke", drawEdges ? "black" : "none") - .attr("stroke-width", drawEdges ? "0.5" : "none") - .append("title") - .text(d => { - let count = d.length, - perc = 100.0 * d.length / values.length, - CX = d.x, - CY = d.y, - xMin = Math.min(...d.map(d => d[0])), - xMax = Math.max(...d.map(d => d[0])), - yMin = Math.min(...d.map(d => d[1])), - yMax = Math.max(...d.map(d => d[1])), - tooltip = `Count: ${count}\n - Percentage: ${perc.toFixed(2)}%\n - Center: ${CX.toFixed(2)}, ${CY.toFixed(2)}\n - Min X: ${xMin.toFixed(2)}\n - Max X: ${xMax.toFixed(2)}\n - Min Y: ${yMin.toFixed(2)}\n - Max Y: ${yMax.toFixed(2)} - `.replace(/\s{2,}/g, "\n"); - return tooltip; - }); - - marginedSpace.append("g") - .attr("class", "axis axis--y") - .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); - - svg.append("text") - .attr("transform", "rotate(-90)") - .attr("y", -margin.left) - .attr("x", -(height / 2)) - .attr("dy", "1em") - .style("text-anchor", "middle") - .text(yLabel); - - marginedSpace.append("g") - .attr("class", "axis axis--x") - .attr("transform", "translate(0," + height + ")") - .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); - - svg.append("text") - .attr("x", width / 2) - .attr("y", dimension) - .style("text-anchor", "middle") - .text(xLabel); - - return svg._groups[0][0].outerHTML; - }, - - - /** - * Packs a list of x, y coordinates into a number of bins for use in a heatmap. - * - * @param {Object[]} points - * @param {number} number of vertical bins - * @param {number} number of horizontal bins - * @returns {Object[]} a list of bins (each bin is an Array) with x y coordinates, filled with the points - */ - _getHeatmapPacking(values, vBins, hBins) { - const xBounds = d3.extent(values, d => d[0]), - yBounds = d3.extent(values, d => d[1]), - bins = []; - - if (xBounds[0] === xBounds[1]) throw "Cannot pack points. There is no difference between the minimum and maximum X coordinate."; - if (yBounds[0] === yBounds[1]) throw "Cannot pack points. There is no difference between the minimum and maximum Y coordinate."; - - for (let y = 0; y < vBins; y++) { - bins.push([]); - for (let x = 0; x < hBins; x++) { - let item = []; - item.y = y; - item.x = x; - - bins[y].push(item); - } // x - } // y - - let epsilon = 0.000000001; // This is to clamp values that are exactly the maximum; - - values.forEach(v => { - let fractionOfY = (v[1] - yBounds[0]) / ((yBounds[1] + epsilon) - yBounds[0]), - fractionOfX = (v[0] - xBounds[0]) / ((xBounds[1] + epsilon) - xBounds[0]); - let y = Math.floor(vBins * fractionOfY), - x = Math.floor(hBins * fractionOfX); - - bins[y][x].push({x: v[0], y: v[1]}); - }); - - return bins; - }, - - - /** - * Heatmap chart operation. - * - * @param {string} input - * @param {Object[]} args - * @returns {html} - */ - runHeatmapChart: function (input, args) { - const recordDelimiter = Utils.charRep[args[0]], - fieldDelimiter = Utils.charRep[args[1]], - vBins = args[2], - hBins = args[3], - columnHeadingsAreIncluded = args[4], - drawEdges = args[7], - minColour = args[8], - maxColour = args[9], - dimension = 500; - - if (vBins <= 0) throw "Number of vertical bins must be greater than 0"; - if (hBins <= 0) throw "Number of horizontal bins must be greater than 0"; - - let xLabel = args[5], - yLabel = args[6], - { headings, values } = Charts._getScatterValues( - input, - recordDelimiter, - fieldDelimiter, - columnHeadingsAreIncluded - ); - - if (headings) { - xLabel = headings.x; - yLabel = headings.y; - } - - let svg = document.createElement("svg"); - svg = d3.select(svg) - .attr("width", "100%") - .attr("height", "100%") - .attr("viewBox", `0 0 ${dimension} ${dimension}`); - - let margin = { - top: 10, - right: 0, - bottom: 40, - left: 30, - }, - width = dimension - margin.left - margin.right, - height = dimension - margin.top - margin.bottom, - binWidth = width / hBins, - binHeight = height/ vBins, - marginedSpace = svg.append("g") - .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); - - let bins = Charts._getHeatmapPacking(values, vBins, hBins), - maxCount = Math.max(...bins.map(row => { - let lengths = row.map(cell => cell.length); - return Math.max(...lengths); - })); - - let xExtent = d3.extent(values, d => d[0]), - yExtent = d3.extent(values, d => d[1]); - - let xAxis = d3.scaleLinear() - .domain(xExtent) - .range([0, width]); - let yAxis = d3.scaleLinear() - .domain(yExtent) - .range([height, 0]); - - let colour = d3.scaleSequential(d3.interpolateLab(minColour, maxColour)) - .domain([0, maxCount]); - - marginedSpace.append("clipPath") - .attr("id", "clip") - .append("rect") - .attr("width", width) - .attr("height", height); - - marginedSpace.append("g") - .attr("class", "bins") - .attr("clip-path", "url(#clip)") - .selectAll("g") - .data(bins) - .enter() - .append("g") - .selectAll("rect") - .data(d => d) - .enter() - .append("rect") - .attr("x", (d) => binWidth * d.x) - .attr("y", (d) => (height - binHeight * (d.y + 1))) - .attr("width", binWidth) - .attr("height", binHeight) - .attr("fill", (d) => colour(d.length)) - .attr("stroke", drawEdges ? "rgba(0, 0, 0, 0.5)" : "none") - .attr("stroke-width", drawEdges ? "0.5" : "none") - .append("title") - .text(d => { - let count = d.length, - perc = 100.0 * d.length / values.length, - tooltip = `Count: ${count}\n - Percentage: ${perc.toFixed(2)}%\n - `.replace(/\s{2,}/g, "\n"); - return tooltip; - }); - - marginedSpace.append("g") - .attr("class", "axis axis--y") - .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); - - svg.append("text") - .attr("transform", "rotate(-90)") - .attr("y", -margin.left) - .attr("x", -(height / 2)) - .attr("dy", "1em") - .style("text-anchor", "middle") - .text(yLabel); - - marginedSpace.append("g") - .attr("class", "axis axis--x") - .attr("transform", "translate(0," + height + ")") - .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); - - svg.append("text") - .attr("x", width / 2) - .attr("y", dimension) - .style("text-anchor", "middle") - .text(xLabel); - - return svg._groups[0][0].outerHTML; - }, - - - /** - * Scatter chart operation. - * - * @param {string} input - * @param {Object[]} args - * @returns {html} - */ - runScatterChart: function (input, args) { - const recordDelimiter = Utils.charRep[args[0]], - fieldDelimiter = Utils.charRep[args[1]], - columnHeadingsAreIncluded = args[2], - fillColour = args[5], - radius = args[6], - colourInInput = args[7], - dimension = 500; - - let xLabel = args[3], - yLabel = args[4]; - - let dataFunction = colourInInput ? Charts._getScatterValuesWithColour : Charts._getScatterValues; - - let { headings, values } = dataFunction( - input, - recordDelimiter, - fieldDelimiter, - columnHeadingsAreIncluded - ); - - if (headings) { - xLabel = headings.x; - yLabel = headings.y; - } - - let svg = document.createElement("svg"); - svg = d3.select(svg) - .attr("width", "100%") - .attr("height", "100%") - .attr("viewBox", `0 0 ${dimension} ${dimension}`); - - let margin = { - top: 10, - right: 0, - bottom: 40, - left: 30, - }, - width = dimension - margin.left - margin.right, - height = dimension - margin.top - margin.bottom, - marginedSpace = svg.append("g") - .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); - - let xExtent = d3.extent(values, d => d[0]), - xDelta = xExtent[1] - xExtent[0], - yExtent = d3.extent(values, d => d[1]), - yDelta = yExtent[1] - yExtent[0], - xAxis = d3.scaleLinear() - .domain([xExtent[0] - (0.1 * xDelta), xExtent[1] + (0.1 * xDelta)]) - .range([0, width]), - yAxis = d3.scaleLinear() - .domain([yExtent[0] - (0.1 * yDelta), yExtent[1] + (0.1 * yDelta)]) - .range([height, 0]); - - marginedSpace.append("clipPath") - .attr("id", "clip") - .append("rect") - .attr("width", width) - .attr("height", height); - - marginedSpace.append("g") - .attr("class", "points") - .attr("clip-path", "url(#clip)") - .selectAll("circle") - .data(values) - .enter() - .append("circle") - .attr("cx", (d) => xAxis(d[0])) - .attr("cy", (d) => yAxis(d[1])) - .attr("r", d => radius) - .attr("fill", d => { - return colourInInput ? d[2] : fillColour; - }) - .attr("stroke", "rgba(0, 0, 0, 0.5)") - .attr("stroke-width", "0.5") - .append("title") - .text(d => { - let x = d[0], - y = d[1], - tooltip = `X: ${x}\n - Y: ${y}\n - `.replace(/\s{2,}/g, "\n"); - return tooltip; - }); - - marginedSpace.append("g") - .attr("class", "axis axis--y") - .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); - - svg.append("text") - .attr("transform", "rotate(-90)") - .attr("y", -margin.left) - .attr("x", -(height / 2)) - .attr("dy", "1em") - .style("text-anchor", "middle") - .text(yLabel); - - marginedSpace.append("g") - .attr("class", "axis axis--x") - .attr("transform", "translate(0," + height + ")") - .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); - - svg.append("text") - .attr("x", width / 2) - .attr("y", dimension) - .style("text-anchor", "middle") - .text(xLabel); - - return svg._groups[0][0].outerHTML; - }, - - - /** - * Series chart operation. - * - * @param {string} input - * @param {Object[]} args - * @returns {html} - */ - runSeriesChart(input, args) { - const recordDelimiter = Utils.charRep[args[0]], - fieldDelimiter = Utils.charRep[args[1]], - xLabel = args[2], - pipRadius = args[3], - seriesColours = args[4].split(","), - svgWidth = 500, - interSeriesPadding = 20, - xAxisHeight = 50, - seriesLabelWidth = 50, - seriesHeight = 100, - seriesWidth = svgWidth - seriesLabelWidth - interSeriesPadding; - - let { xValues, series } = Charts._getSeriesValues(input, recordDelimiter, fieldDelimiter), - allSeriesHeight = Object.keys(series).length * (interSeriesPadding + seriesHeight), - svgHeight = allSeriesHeight + xAxisHeight + interSeriesPadding; - - let svg = document.createElement("svg"); - svg = d3.select(svg) - .attr("width", "100%") - .attr("height", "100%") - .attr("viewBox", `0 0 ${svgWidth} ${svgHeight}`); - - let xAxis = d3.scalePoint() - .domain(xValues) - .range([0, seriesWidth]); - - svg.append("g") - .attr("class", "axis axis--x") - .attr("transform", `translate(${seriesLabelWidth}, ${xAxisHeight})`) - .call( - d3.axisTop(xAxis).tickValues(xValues.filter((x, i) => { - return [0, Math.round(xValues.length / 2), xValues.length -1].indexOf(i) >= 0; - })) - ); - - svg.append("text") - .attr("x", svgWidth / 2) - .attr("y", xAxisHeight / 2) - .style("text-anchor", "middle") - .text(xLabel); - - let tooltipText = {}, - tooltipAreaWidth = seriesWidth / xValues.length; - - xValues.forEach(x => { - let tooltip = []; - - series.forEach(serie => { - let y = serie.data[x]; - if (typeof y === "undefined") return; - - tooltip.push(`${serie.name}: ${y}`); - }); - - tooltipText[x] = tooltip.join("\n"); - }); - - let chartArea = svg.append("g") - .attr("transform", `translate(${seriesLabelWidth}, ${xAxisHeight})`); - - chartArea - .append("g") - .selectAll("rect") - .data(xValues) - .enter() - .append("rect") - .attr("x", x => { - return xAxis(x) - (tooltipAreaWidth / 2); - }) - .attr("y", 0) - .attr("width", tooltipAreaWidth) - .attr("height", allSeriesHeight) - .attr("stroke", "none") - .attr("fill", "transparent") - .append("title") - .text(x => { - return `${x}\n - --\n - ${tooltipText[x]}\n - `.replace(/\s{2,}/g, "\n"); - }); - - let yAxesArea = svg.append("g") - .attr("transform", `translate(0, ${xAxisHeight})`); - - series.forEach((serie, seriesIndex) => { - let yExtent = d3.extent(Object.values(serie.data)), - yAxis = d3.scaleLinear() - .domain(yExtent) - .range([seriesHeight, 0]); - - let seriesGroup = chartArea - .append("g") - .attr("transform", `translate(0, ${seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`); - - let path = ""; - xValues.forEach((x, xIndex) => { - let nextX = xValues[xIndex + 1], - y = serie.data[x], - nextY= serie.data[nextX]; - - if (typeof y === "undefined" || typeof nextY === "undefined") return; - - x = xAxis(x); nextX = xAxis(nextX); - y = yAxis(y); nextY = yAxis(nextY); - - path += `M ${x} ${y} L ${nextX} ${nextY} z `; - }); - - seriesGroup - .append("path") - .attr("d", path) - .attr("fill", "none") - .attr("stroke", seriesColours[seriesIndex % seriesColours.length]) - .attr("stroke-width", "1"); - - xValues.forEach(x => { - let y = serie.data[x]; - if (typeof y === "undefined") return; - - seriesGroup - .append("circle") - .attr("cx", xAxis(x)) - .attr("cy", yAxis(y)) - .attr("r", pipRadius) - .attr("fill", seriesColours[seriesIndex % seriesColours.length]) - .append("title") - .text(d => { - return `${x}\n - --\n - ${tooltipText[x]}\n - `.replace(/\s{2,}/g, "\n"); - }); - }); - - yAxesArea - .append("g") - .attr("transform", `translate(${seriesLabelWidth - interSeriesPadding}, ${seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`) - .attr("class", "axis axis--y") - .call(d3.axisLeft(yAxis).ticks(5)); - - yAxesArea - .append("g") - .attr("transform", `translate(0, ${seriesHeight / 2 + seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`) - .append("text") - .style("text-anchor", "middle") - .attr("transform", "rotate(-90)") - .text(serie.name); - }); - - return svg._groups[0][0].outerHTML; - }, -}; - -export default Charts; diff --git a/src/core/operations/HeatmapChart.mjs b/src/core/operations/HeatmapChart.mjs new file mode 100644 index 00000000..047ce054 --- /dev/null +++ b/src/core/operations/HeatmapChart.mjs @@ -0,0 +1,260 @@ +/** + * @author tlwr [toby@toby.codes] + * @copyright Crown Copyright 2019 + * @license Apache-2.0 + */ + +import * as d3 from "d3"; +import { getScatterValues, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; + + +import Operation from "../Operation"; +import OperationError from "../errors/OperationError"; +import Utils from "../Utils"; + +/** + * Heatmap chart operation + */ +class HeatmapChart extends Operation { + + /** + * HeatmapChart constructor + */ + constructor() { + super(); + + this.name = "Heatmap chart"; + this.module = "Charts"; + this.description = ""; + this.infoURL = ""; + this.inputType = "string"; + this.outputType = "html"; + this.args = [ + { + name: "Record delimiter", + type: "option", + value: RECORD_DELIMITER_OPTIONS, + }, + { + name: "Field delimiter", + type: "option", + value: FIELD_DELIMITER_OPTIONS, + }, + { + name: "Number of vertical bins", + type: "number", + value: 25, + }, + { + name: "Number of horizontal bins", + type: "number", + value: 25, + }, + { + name: "Use column headers as labels", + type: "boolean", + value: true, + }, + { + name: "X label", + type: "string", + value: "", + }, + { + name: "Y label", + type: "string", + value: "", + }, + { + name: "Draw bin edges", + type: "boolean", + value: false, + }, + { + name: "Min colour value", + type: "string", + value: COLOURS.min, + }, + { + name: "Max colour value", + type: "string", + value: COLOURS.max, + }, + ]; + } + + /** + * @param {string} input + * @param {Object[]} args + * @returns {html} + */ + run(input, args) { + const recordDelimiter = Utils.charRep[args[0]], + fieldDelimiter = Utils.charRep[args[1]], + vBins = args[2], + hBins = args[3], + columnHeadingsAreIncluded = args[4], + drawEdges = args[7], + minColour = args[8], + maxColour = args[9], + dimension = 500; + + if (vBins <= 0) throw new OperationError("Number of vertical bins must be greater than 0"); + if (hBins <= 0) throw new OperationError("Number of horizontal bins must be greater than 0"); + + let xLabel = args[5], + yLabel = args[6]; + const { headings, values } = getScatterValues( + input, + recordDelimiter, + fieldDelimiter, + columnHeadingsAreIncluded + ); + + if (headings) { + xLabel = headings.x; + yLabel = headings.y; + } + + let svg = document.createElement("svg"); + svg = d3.select(svg) + .attr("width", "100%") + .attr("height", "100%") + .attr("viewBox", `0 0 ${dimension} ${dimension}`); + + const margin = { + top: 10, + right: 0, + bottom: 40, + left: 30, + }, + width = dimension - margin.left - margin.right, + height = dimension - margin.top - margin.bottom, + binWidth = width / hBins, + binHeight = height/ vBins, + marginedSpace = svg.append("g") + .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); + + const bins = this.getHeatmapPacking(values, vBins, hBins), + maxCount = Math.max(...bins.map(row => { + const lengths = row.map(cell => cell.length); + return Math.max(...lengths); + })); + + const xExtent = d3.extent(values, d => d[0]), + yExtent = d3.extent(values, d => d[1]); + + const xAxis = d3.scaleLinear() + .domain(xExtent) + .range([0, width]); + const yAxis = d3.scaleLinear() + .domain(yExtent) + .range([height, 0]); + + const colour = d3.scaleSequential(d3.interpolateLab(minColour, maxColour)) + .domain([0, maxCount]); + + marginedSpace.append("clipPath") + .attr("id", "clip") + .append("rect") + .attr("width", width) + .attr("height", height); + + marginedSpace.append("g") + .attr("class", "bins") + .attr("clip-path", "url(#clip)") + .selectAll("g") + .data(bins) + .enter() + .append("g") + .selectAll("rect") + .data(d => d) + .enter() + .append("rect") + .attr("x", (d) => binWidth * d.x) + .attr("y", (d) => (height - binHeight * (d.y + 1))) + .attr("width", binWidth) + .attr("height", binHeight) + .attr("fill", (d) => colour(d.length)) + .attr("stroke", drawEdges ? "rgba(0, 0, 0, 0.5)" : "none") + .attr("stroke-width", drawEdges ? "0.5" : "none") + .append("title") + .text(d => { + let count = d.length, + perc = 100.0 * d.length / values.length, + tooltip = `Count: ${count}\n + Percentage: ${perc.toFixed(2)}%\n + `.replace(/\s{2,}/g, "\n"); + return tooltip; + }); + + marginedSpace.append("g") + .attr("class", "axis axis--y") + .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); + + svg.append("text") + .attr("transform", "rotate(-90)") + .attr("y", -margin.left) + .attr("x", -(height / 2)) + .attr("dy", "1em") + .style("text-anchor", "middle") + .text(yLabel); + + marginedSpace.append("g") + .attr("class", "axis axis--x") + .attr("transform", "translate(0," + height + ")") + .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); + + svg.append("text") + .attr("x", width / 2) + .attr("y", dimension) + .style("text-anchor", "middle") + .text(xLabel); + + return svg._groups[0][0].outerHTML; + } + + /** + * Packs a list of x, y coordinates into a number of bins for use in a heatmap. + * + * @param {Object[]} points + * @param {number} number of vertical bins + * @param {number} number of horizontal bins + * @returns {Object[]} a list of bins (each bin is an Array) with x y coordinates, filled with the points + */ + getHeatmapPacking(values, vBins, hBins) { + const xBounds = d3.extent(values, d => d[0]), + yBounds = d3.extent(values, d => d[1]), + bins = []; + + if (xBounds[0] === xBounds[1]) throw "Cannot pack points. There is no difference between the minimum and maximum X coordinate."; + if (yBounds[0] === yBounds[1]) throw "Cannot pack points. There is no difference between the minimum and maximum Y coordinate."; + + for (let y = 0; y < vBins; y++) { + bins.push([]); + for (let x = 0; x < hBins; x++) { + const item = []; + item.y = y; + item.x = x; + + bins[y].push(item); + } // x + } // y + + const epsilon = 0.000000001; // This is to clamp values that are exactly the maximum; + + values.forEach(v => { + const fractionOfY = (v[1] - yBounds[0]) / ((yBounds[1] + epsilon) - yBounds[0]), + fractionOfX = (v[0] - xBounds[0]) / ((xBounds[1] + epsilon) - xBounds[0]), + y = Math.floor(vBins * fractionOfY), + x = Math.floor(hBins * fractionOfX); + + bins[y][x].push({x: v[0], y: v[1]}); + }); + + return bins; + } + +} + +export default HeatmapChart; diff --git a/src/core/operations/HexDensityChart.mjs b/src/core/operations/HexDensityChart.mjs new file mode 100644 index 00000000..3d010f13 --- /dev/null +++ b/src/core/operations/HexDensityChart.mjs @@ -0,0 +1,287 @@ +/** + * @author tlwr [toby@toby.codes] + * @copyright Crown Copyright 2019 + * @license Apache-2.0 + */ + +import * as d3 from "d3"; +import * as d3hexbin from "d3-hexbin"; +import { getScatterValues, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; + +import Operation from "../Operation"; +import Utils from "../Utils"; + +/** + * Hex Density chart operation + */ +class HexDensityChart extends Operation { + + /** + * HexDensityChart constructor + */ + constructor() { + super(); + + this.name = "Hex Density chart"; + this.module = "Charts"; + this.description = ""; + this.infoURL = ""; + this.inputType = "string"; + this.outputType = "html"; + this.args = [ + { + name: "Record delimiter", + type: "option", + value: RECORD_DELIMITER_OPTIONS, + }, + { + name: "Field delimiter", + type: "option", + value: FIELD_DELIMITER_OPTIONS, + }, + { + name: "Pack radius", + type: "number", + value: 25, + }, + { + name: "Draw radius", + type: "number", + value: 15, + }, + { + name: "Use column headers as labels", + type: "boolean", + value: true, + }, + { + name: "X label", + type: "string", + value: "", + }, + { + name: "Y label", + type: "string", + value: "", + }, + { + name: "Draw hexagon edges", + type: "boolean", + value: false, + }, + { + name: "Min colour value", + type: "string", + value: COLOURS.min, + }, + { + name: "Max colour value", + type: "string", + value: COLOURS.max, + }, + { + name: "Draw empty hexagons within data boundaries", + type: "boolean", + value: false, + } + ]; + } + + + /** + * @param {string} input + * @param {Object[]} args + * @returns {html} + */ + run(input, args) { + const recordDelimiter = Utils.charRep[args[0]], + fieldDelimiter = Utils.charRep[args[1]], + packRadius = args[2], + drawRadius = args[3], + columnHeadingsAreIncluded = args[4], + drawEdges = args[7], + minColour = args[8], + maxColour = args[9], + drawEmptyHexagons = args[10], + dimension = 500; + + let xLabel = args[5], + yLabel = args[6]; + const { headings, values } = getScatterValues( + input, + recordDelimiter, + fieldDelimiter, + columnHeadingsAreIncluded + ); + + if (headings) { + xLabel = headings.x; + yLabel = headings.y; + } + + let svg = document.createElement("svg"); + svg = d3.select(svg) + .attr("width", "100%") + .attr("height", "100%") + .attr("viewBox", `0 0 ${dimension} ${dimension}`); + + const margin = { + top: 10, + right: 0, + bottom: 40, + left: 30, + }, + width = dimension - margin.left - margin.right, + height = dimension - margin.top - margin.bottom, + marginedSpace = svg.append("g") + .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); + + const hexbin = d3hexbin.hexbin() + .radius(packRadius) + .extent([0, 0], [width, height]); + + const hexPoints = hexbin(values), + maxCount = Math.max(...hexPoints.map(b => b.length)); + + const xExtent = d3.extent(hexPoints, d => d.x), + yExtent = d3.extent(hexPoints, d => d.y); + xExtent[0] -= 2 * packRadius; + xExtent[1] += 3 * packRadius; + yExtent[0] -= 2 * packRadius; + yExtent[1] += 2 * packRadius; + + const xAxis = d3.scaleLinear() + .domain(xExtent) + .range([0, width]); + const yAxis = d3.scaleLinear() + .domain(yExtent) + .range([height, 0]); + + const colour = d3.scaleSequential(d3.interpolateLab(minColour, maxColour)) + .domain([0, maxCount]); + + marginedSpace.append("clipPath") + .attr("id", "clip") + .append("rect") + .attr("width", width) + .attr("height", height); + + if (drawEmptyHexagons) { + marginedSpace.append("g") + .attr("class", "empty-hexagon") + .selectAll("path") + .data(this.getEmptyHexagons(hexPoints, packRadius)) + .enter() + .append("path") + .attr("d", d => { + return `M${xAxis(d.x)},${yAxis(d.y)} ${hexbin.hexagon(drawRadius)}`; + }) + .attr("fill", (d) => colour(0)) + .attr("stroke", drawEdges ? "black" : "none") + .attr("stroke-width", drawEdges ? "0.5" : "none") + .append("title") + .text(d => { + const count = 0, + perc = 0, + tooltip = `Count: ${count}\n + Percentage: ${perc.toFixed(2)}%\n + Center: ${d.x.toFixed(2)}, ${d.y.toFixed(2)}\n + `.replace(/\s{2,}/g, "\n"); + return tooltip; + }); + } + + marginedSpace.append("g") + .attr("class", "hexagon") + .attr("clip-path", "url(#clip)") + .selectAll("path") + .data(hexPoints) + .enter() + .append("path") + .attr("d", d => { + return `M${xAxis(d.x)},${yAxis(d.y)} ${hexbin.hexagon(drawRadius)}`; + }) + .attr("fill", (d) => colour(d.length)) + .attr("stroke", drawEdges ? "black" : "none") + .attr("stroke-width", drawEdges ? "0.5" : "none") + .append("title") + .text(d => { + const count = d.length, + perc = 100.0 * d.length / values.length, + CX = d.x, + CY = d.y, + xMin = Math.min(...d.map(d => d[0])), + xMax = Math.max(...d.map(d => d[0])), + yMin = Math.min(...d.map(d => d[1])), + yMax = Math.max(...d.map(d => d[1])), + tooltip = `Count: ${count}\n + Percentage: ${perc.toFixed(2)}%\n + Center: ${CX.toFixed(2)}, ${CY.toFixed(2)}\n + Min X: ${xMin.toFixed(2)}\n + Max X: ${xMax.toFixed(2)}\n + Min Y: ${yMin.toFixed(2)}\n + Max Y: ${yMax.toFixed(2)} + `.replace(/\s{2,}/g, "\n"); + return tooltip; + }); + + marginedSpace.append("g") + .attr("class", "axis axis--y") + .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); + + svg.append("text") + .attr("transform", "rotate(-90)") + .attr("y", -margin.left) + .attr("x", -(height / 2)) + .attr("dy", "1em") + .style("text-anchor", "middle") + .text(yLabel); + + marginedSpace.append("g") + .attr("class", "axis axis--x") + .attr("transform", "translate(0," + height + ")") + .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); + + svg.append("text") + .attr("x", width / 2) + .attr("y", dimension) + .style("text-anchor", "middle") + .text(xLabel); + + return svg._groups[0][0].outerHTML; + } + + + /** + * Hex Bin chart operation. + * + * @param {Object[]} - centres + * @param {number} - radius + * @returns {Object[]} + */ + getEmptyHexagons(centres, radius) { + const emptyCentres = [], + boundingRect = [d3.extent(centres, d => d.x), d3.extent(centres, d => d.y)], + hexagonCenterToEdge = Math.cos(2 * Math.PI / 12) * radius, + hexagonEdgeLength = Math.sin(2 * Math.PI / 12) * radius; + let indent = false; + + for (let y = boundingRect[1][0]; y <= boundingRect[1][1] + radius; y += hexagonEdgeLength + radius) { + for (let x = boundingRect[0][0]; x <= boundingRect[0][1] + radius; x += 2 * hexagonCenterToEdge) { + let cx = x; + const cy = y; + + if (indent && x >= boundingRect[0][1]) break; + if (indent) cx += hexagonCenterToEdge; + + emptyCentres.push({x: cx, y: cy}); + } + indent = !indent; + } + + return emptyCentres; + } + +} + +export default HexDensityChart; diff --git a/src/core/operations/legacy/Charts.js b/src/core/operations/legacy/Charts.js new file mode 100755 index 00000000..1d4a5a3b --- /dev/null +++ b/src/core/operations/legacy/Charts.js @@ -0,0 +1,297 @@ +import * as d3 from "d3"; +import Utils from "../Utils.js"; + +/** + * Charting operations. + * + * @author tlwr [toby@toby.com] + * @copyright Crown Copyright 2016 + * @license Apache-2.0 + * + * @namespace + */ +const Charts = { + + + /** + * Scatter chart operation. + * + * @param {string} input + * @param {Object[]} args + * @returns {html} + */ + runScatterChart: function (input, args) { + const recordDelimiter = Utils.charRep[args[0]], + fieldDelimiter = Utils.charRep[args[1]], + columnHeadingsAreIncluded = args[2], + fillColour = args[5], + radius = args[6], + colourInInput = args[7], + dimension = 500; + + let xLabel = args[3], + yLabel = args[4]; + + let dataFunction = colourInInput ? Charts._getScatterValuesWithColour : Charts._getScatterValues; + + let { headings, values } = dataFunction( + input, + recordDelimiter, + fieldDelimiter, + columnHeadingsAreIncluded + ); + + if (headings) { + xLabel = headings.x; + yLabel = headings.y; + } + + let svg = document.createElement("svg"); + svg = d3.select(svg) + .attr("width", "100%") + .attr("height", "100%") + .attr("viewBox", `0 0 ${dimension} ${dimension}`); + + let margin = { + top: 10, + right: 0, + bottom: 40, + left: 30, + }, + width = dimension - margin.left - margin.right, + height = dimension - margin.top - margin.bottom, + marginedSpace = svg.append("g") + .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); + + let xExtent = d3.extent(values, d => d[0]), + xDelta = xExtent[1] - xExtent[0], + yExtent = d3.extent(values, d => d[1]), + yDelta = yExtent[1] - yExtent[0], + xAxis = d3.scaleLinear() + .domain([xExtent[0] - (0.1 * xDelta), xExtent[1] + (0.1 * xDelta)]) + .range([0, width]), + yAxis = d3.scaleLinear() + .domain([yExtent[0] - (0.1 * yDelta), yExtent[1] + (0.1 * yDelta)]) + .range([height, 0]); + + marginedSpace.append("clipPath") + .attr("id", "clip") + .append("rect") + .attr("width", width) + .attr("height", height); + + marginedSpace.append("g") + .attr("class", "points") + .attr("clip-path", "url(#clip)") + .selectAll("circle") + .data(values) + .enter() + .append("circle") + .attr("cx", (d) => xAxis(d[0])) + .attr("cy", (d) => yAxis(d[1])) + .attr("r", d => radius) + .attr("fill", d => { + return colourInInput ? d[2] : fillColour; + }) + .attr("stroke", "rgba(0, 0, 0, 0.5)") + .attr("stroke-width", "0.5") + .append("title") + .text(d => { + let x = d[0], + y = d[1], + tooltip = `X: ${x}\n + Y: ${y}\n + `.replace(/\s{2,}/g, "\n"); + return tooltip; + }); + + marginedSpace.append("g") + .attr("class", "axis axis--y") + .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); + + svg.append("text") + .attr("transform", "rotate(-90)") + .attr("y", -margin.left) + .attr("x", -(height / 2)) + .attr("dy", "1em") + .style("text-anchor", "middle") + .text(yLabel); + + marginedSpace.append("g") + .attr("class", "axis axis--x") + .attr("transform", "translate(0," + height + ")") + .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); + + svg.append("text") + .attr("x", width / 2) + .attr("y", dimension) + .style("text-anchor", "middle") + .text(xLabel); + + return svg._groups[0][0].outerHTML; + }, + + + /** + * Series chart operation. + * + * @param {string} input + * @param {Object[]} args + * @returns {html} + */ + runSeriesChart(input, args) { + const recordDelimiter = Utils.charRep[args[0]], + fieldDelimiter = Utils.charRep[args[1]], + xLabel = args[2], + pipRadius = args[3], + seriesColours = args[4].split(","), + svgWidth = 500, + interSeriesPadding = 20, + xAxisHeight = 50, + seriesLabelWidth = 50, + seriesHeight = 100, + seriesWidth = svgWidth - seriesLabelWidth - interSeriesPadding; + + let { xValues, series } = Charts._getSeriesValues(input, recordDelimiter, fieldDelimiter), + allSeriesHeight = Object.keys(series).length * (interSeriesPadding + seriesHeight), + svgHeight = allSeriesHeight + xAxisHeight + interSeriesPadding; + + let svg = document.createElement("svg"); + svg = d3.select(svg) + .attr("width", "100%") + .attr("height", "100%") + .attr("viewBox", `0 0 ${svgWidth} ${svgHeight}`); + + let xAxis = d3.scalePoint() + .domain(xValues) + .range([0, seriesWidth]); + + svg.append("g") + .attr("class", "axis axis--x") + .attr("transform", `translate(${seriesLabelWidth}, ${xAxisHeight})`) + .call( + d3.axisTop(xAxis).tickValues(xValues.filter((x, i) => { + return [0, Math.round(xValues.length / 2), xValues.length -1].indexOf(i) >= 0; + })) + ); + + svg.append("text") + .attr("x", svgWidth / 2) + .attr("y", xAxisHeight / 2) + .style("text-anchor", "middle") + .text(xLabel); + + let tooltipText = {}, + tooltipAreaWidth = seriesWidth / xValues.length; + + xValues.forEach(x => { + let tooltip = []; + + series.forEach(serie => { + let y = serie.data[x]; + if (typeof y === "undefined") return; + + tooltip.push(`${serie.name}: ${y}`); + }); + + tooltipText[x] = tooltip.join("\n"); + }); + + let chartArea = svg.append("g") + .attr("transform", `translate(${seriesLabelWidth}, ${xAxisHeight})`); + + chartArea + .append("g") + .selectAll("rect") + .data(xValues) + .enter() + .append("rect") + .attr("x", x => { + return xAxis(x) - (tooltipAreaWidth / 2); + }) + .attr("y", 0) + .attr("width", tooltipAreaWidth) + .attr("height", allSeriesHeight) + .attr("stroke", "none") + .attr("fill", "transparent") + .append("title") + .text(x => { + return `${x}\n + --\n + ${tooltipText[x]}\n + `.replace(/\s{2,}/g, "\n"); + }); + + let yAxesArea = svg.append("g") + .attr("transform", `translate(0, ${xAxisHeight})`); + + series.forEach((serie, seriesIndex) => { + let yExtent = d3.extent(Object.values(serie.data)), + yAxis = d3.scaleLinear() + .domain(yExtent) + .range([seriesHeight, 0]); + + let seriesGroup = chartArea + .append("g") + .attr("transform", `translate(0, ${seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`); + + let path = ""; + xValues.forEach((x, xIndex) => { + let nextX = xValues[xIndex + 1], + y = serie.data[x], + nextY= serie.data[nextX]; + + if (typeof y === "undefined" || typeof nextY === "undefined") return; + + x = xAxis(x); nextX = xAxis(nextX); + y = yAxis(y); nextY = yAxis(nextY); + + path += `M ${x} ${y} L ${nextX} ${nextY} z `; + }); + + seriesGroup + .append("path") + .attr("d", path) + .attr("fill", "none") + .attr("stroke", seriesColours[seriesIndex % seriesColours.length]) + .attr("stroke-width", "1"); + + xValues.forEach(x => { + let y = serie.data[x]; + if (typeof y === "undefined") return; + + seriesGroup + .append("circle") + .attr("cx", xAxis(x)) + .attr("cy", yAxis(y)) + .attr("r", pipRadius) + .attr("fill", seriesColours[seriesIndex % seriesColours.length]) + .append("title") + .text(d => { + return `${x}\n + --\n + ${tooltipText[x]}\n + `.replace(/\s{2,}/g, "\n"); + }); + }); + + yAxesArea + .append("g") + .attr("transform", `translate(${seriesLabelWidth - interSeriesPadding}, ${seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`) + .attr("class", "axis axis--y") + .call(d3.axisLeft(yAxis).ticks(5)); + + yAxesArea + .append("g") + .attr("transform", `translate(0, ${seriesHeight / 2 + seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`) + .append("text") + .style("text-anchor", "middle") + .attr("transform", "rotate(-90)") + .text(serie.name); + }); + + return svg._groups[0][0].outerHTML; + }, +}; + +export default Charts; From 4ae875601a317e8499c28e093cde61b27ce8e29c Mon Sep 17 00:00:00 2001 From: Matt Date: Sun, 10 Mar 2019 10:33:47 +0000 Subject: [PATCH 13/47] Ported final two chart operations --- src/core/lib/Charts.mjs | 2 +- src/core/operations/ScatterChart.mjs | 192 +++++++++++++++++ .../{legacy/Charts.js => SeriesChart.mjs} | 203 ++++++------------ 3 files changed, 256 insertions(+), 141 deletions(-) create mode 100644 src/core/operations/ScatterChart.mjs rename src/core/operations/{legacy/Charts.js => SeriesChart.mjs} (53%) mode change 100755 => 100644 diff --git a/src/core/lib/Charts.mjs b/src/core/lib/Charts.mjs index 8cb9d224..52585505 100644 --- a/src/core/lib/Charts.mjs +++ b/src/core/lib/Charts.mjs @@ -1,6 +1,6 @@ /** * @author tlwr [toby@toby.codes] - Original - * @author Matt C [matt@artemisbot.uk] - Conversion to new format + * @author Matt C [me@mitt.dev] - Conversion to new format * @copyright Crown Copyright 2019 * @license Apache-2.0 */ diff --git a/src/core/operations/ScatterChart.mjs b/src/core/operations/ScatterChart.mjs new file mode 100644 index 00000000..acd527cf --- /dev/null +++ b/src/core/operations/ScatterChart.mjs @@ -0,0 +1,192 @@ +/** + * @author tlwr [toby@toby.codes] + * @copyright Crown Copyright 2019 + * @license Apache-2.0 + */ + +import * as d3 from "d3"; +import { getScatterValues, getScatterValuesWithColour, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; + +import Operation from "../Operation"; +import Utils from "../Utils"; + +/** + * Scatter chart operation + */ +class ScatterChart extends Operation { + + /** + * ScatterChart constructor + */ + constructor() { + super(); + + this.name = "Scatter chart"; + this.module = "Charts"; + this.description = ""; + this.infoURL = ""; + this.inputType = "string"; + this.outputType = "html"; + this.args = [ + { + name: "Record delimiter", + type: "option", + value: RECORD_DELIMITER_OPTIONS, + }, + { + name: "Field delimiter", + type: "option", + value: FIELD_DELIMITER_OPTIONS, + }, + { + name: "Use column headers as labels", + type: "boolean", + value: true, + }, + { + name: "X label", + type: "string", + value: "", + }, + { + name: "Y label", + type: "string", + value: "", + }, + { + name: "Colour", + type: "string", + value: COLOURS.max, + }, + { + name: "Point radius", + type: "number", + value: 10, + }, + { + name: "Use colour from third column", + type: "boolean", + value: false, + } + ]; + } + + /** + * @param {string} input + * @param {Object[]} args + * @returns {html} + */ + run(input, args) { + const recordDelimiter = Utils.charRep[args[0]], + fieldDelimiter = Utils.charRep[args[1]], + columnHeadingsAreIncluded = args[2], + fillColour = args[5], + radius = args[6], + colourInInput = args[7], + dimension = 500; + + let xLabel = args[3], + yLabel = args[4]; + + const dataFunction = colourInInput ? getScatterValuesWithColour : getScatterValues; + + const { headings, values } = dataFunction( + input, + recordDelimiter, + fieldDelimiter, + columnHeadingsAreIncluded + ); + + if (headings) { + xLabel = headings.x; + yLabel = headings.y; + } + + let svg = document.createElement("svg"); + svg = d3.select(svg) + .attr("width", "100%") + .attr("height", "100%") + .attr("viewBox", `0 0 ${dimension} ${dimension}`); + + const margin = { + top: 10, + right: 0, + bottom: 40, + left: 30, + }, + width = dimension - margin.left - margin.right, + height = dimension - margin.top - margin.bottom, + marginedSpace = svg.append("g") + .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); + + const xExtent = d3.extent(values, d => d[0]), + xDelta = xExtent[1] - xExtent[0], + yExtent = d3.extent(values, d => d[1]), + yDelta = yExtent[1] - yExtent[0], + xAxis = d3.scaleLinear() + .domain([xExtent[0] - (0.1 * xDelta), xExtent[1] + (0.1 * xDelta)]) + .range([0, width]), + yAxis = d3.scaleLinear() + .domain([yExtent[0] - (0.1 * yDelta), yExtent[1] + (0.1 * yDelta)]) + .range([height, 0]); + + marginedSpace.append("clipPath") + .attr("id", "clip") + .append("rect") + .attr("width", width) + .attr("height", height); + + marginedSpace.append("g") + .attr("class", "points") + .attr("clip-path", "url(#clip)") + .selectAll("circle") + .data(values) + .enter() + .append("circle") + .attr("cx", (d) => xAxis(d[0])) + .attr("cy", (d) => yAxis(d[1])) + .attr("r", d => radius) + .attr("fill", d => { + return colourInInput ? d[2] : fillColour; + }) + .attr("stroke", "rgba(0, 0, 0, 0.5)") + .attr("stroke-width", "0.5") + .append("title") + .text(d => { + const x = d[0], + y = d[1], + tooltip = `X: ${x}\n + Y: ${y}\n + `.replace(/\s{2,}/g, "\n"); + return tooltip; + }); + + marginedSpace.append("g") + .attr("class", "axis axis--y") + .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); + + svg.append("text") + .attr("transform", "rotate(-90)") + .attr("y", -margin.left) + .attr("x", -(height / 2)) + .attr("dy", "1em") + .style("text-anchor", "middle") + .text(yLabel); + + marginedSpace.append("g") + .attr("class", "axis axis--x") + .attr("transform", "translate(0," + height + ")") + .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); + + svg.append("text") + .attr("x", width / 2) + .attr("y", dimension) + .style("text-anchor", "middle") + .text(xLabel); + + return svg._groups[0][0].outerHTML; + } + +} + +export default ScatterChart; diff --git a/src/core/operations/legacy/Charts.js b/src/core/operations/SeriesChart.mjs old mode 100755 new mode 100644 similarity index 53% rename from src/core/operations/legacy/Charts.js rename to src/core/operations/SeriesChart.mjs index 1d4a5a3b..34dd6ec0 --- a/src/core/operations/legacy/Charts.js +++ b/src/core/operations/SeriesChart.mjs @@ -1,145 +1,67 @@ +/** + * @author tlwr [toby@toby.codes] + * @copyright Crown Copyright 2019 + * @license Apache-2.0 + */ + import * as d3 from "d3"; -import Utils from "../Utils.js"; +import { getSeriesValues, RECORD_DELIMITER_OPTIONS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; + +import Operation from "../Operation"; +import Utils from "../Utils"; /** - * Charting operations. - * - * @author tlwr [toby@toby.com] - * @copyright Crown Copyright 2016 - * @license Apache-2.0 - * - * @namespace + * Series chart operation */ -const Charts = { - +class SeriesChart extends Operation { /** - * Scatter chart operation. - * - * @param {string} input - * @param {Object[]} args - * @returns {html} + * SeriesChart constructor */ - runScatterChart: function (input, args) { - const recordDelimiter = Utils.charRep[args[0]], - fieldDelimiter = Utils.charRep[args[1]], - columnHeadingsAreIncluded = args[2], - fillColour = args[5], - radius = args[6], - colourInInput = args[7], - dimension = 500; + constructor() { + super(); - let xLabel = args[3], - yLabel = args[4]; - - let dataFunction = colourInInput ? Charts._getScatterValuesWithColour : Charts._getScatterValues; - - let { headings, values } = dataFunction( - input, - recordDelimiter, - fieldDelimiter, - columnHeadingsAreIncluded - ); - - if (headings) { - xLabel = headings.x; - yLabel = headings.y; - } - - let svg = document.createElement("svg"); - svg = d3.select(svg) - .attr("width", "100%") - .attr("height", "100%") - .attr("viewBox", `0 0 ${dimension} ${dimension}`); - - let margin = { - top: 10, - right: 0, - bottom: 40, - left: 30, + this.name = "Series chart"; + this.module = "Charts"; + this.description = ""; + this.infoURL = ""; + this.inputType = "string"; + this.outputType = "html"; + this.args = [ + { + name: "Record delimiter", + type: "option", + value: RECORD_DELIMITER_OPTIONS, }, - width = dimension - margin.left - margin.right, - height = dimension - margin.top - margin.bottom, - marginedSpace = svg.append("g") - .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); - - let xExtent = d3.extent(values, d => d[0]), - xDelta = xExtent[1] - xExtent[0], - yExtent = d3.extent(values, d => d[1]), - yDelta = yExtent[1] - yExtent[0], - xAxis = d3.scaleLinear() - .domain([xExtent[0] - (0.1 * xDelta), xExtent[1] + (0.1 * xDelta)]) - .range([0, width]), - yAxis = d3.scaleLinear() - .domain([yExtent[0] - (0.1 * yDelta), yExtent[1] + (0.1 * yDelta)]) - .range([height, 0]); - - marginedSpace.append("clipPath") - .attr("id", "clip") - .append("rect") - .attr("width", width) - .attr("height", height); - - marginedSpace.append("g") - .attr("class", "points") - .attr("clip-path", "url(#clip)") - .selectAll("circle") - .data(values) - .enter() - .append("circle") - .attr("cx", (d) => xAxis(d[0])) - .attr("cy", (d) => yAxis(d[1])) - .attr("r", d => radius) - .attr("fill", d => { - return colourInInput ? d[2] : fillColour; - }) - .attr("stroke", "rgba(0, 0, 0, 0.5)") - .attr("stroke-width", "0.5") - .append("title") - .text(d => { - let x = d[0], - y = d[1], - tooltip = `X: ${x}\n - Y: ${y}\n - `.replace(/\s{2,}/g, "\n"); - return tooltip; - }); - - marginedSpace.append("g") - .attr("class", "axis axis--y") - .call(d3.axisLeft(yAxis).tickSizeOuter(-width)); - - svg.append("text") - .attr("transform", "rotate(-90)") - .attr("y", -margin.left) - .attr("x", -(height / 2)) - .attr("dy", "1em") - .style("text-anchor", "middle") - .text(yLabel); - - marginedSpace.append("g") - .attr("class", "axis axis--x") - .attr("transform", "translate(0," + height + ")") - .call(d3.axisBottom(xAxis).tickSizeOuter(-height)); - - svg.append("text") - .attr("x", width / 2) - .attr("y", dimension) - .style("text-anchor", "middle") - .text(xLabel); - - return svg._groups[0][0].outerHTML; - }, - + { + name: "Field delimiter", + type: "option", + value: FIELD_DELIMITER_OPTIONS, + }, + { + name: "X label", + type: "string", + value: "", + }, + { + name: "Point radius", + type: "number", + value: 1, + }, + { + name: "Series colours", + type: "string", + value: "mediumseagreen, dodgerblue, tomato", + }, + ]; + } /** - * Series chart operation. - * * @param {string} input * @param {Object[]} args * @returns {html} */ - runSeriesChart(input, args) { + run(input, args) { const recordDelimiter = Utils.charRep[args[0]], fieldDelimiter = Utils.charRep[args[1]], xLabel = args[2], @@ -152,7 +74,7 @@ const Charts = { seriesHeight = 100, seriesWidth = svgWidth - seriesLabelWidth - interSeriesPadding; - let { xValues, series } = Charts._getSeriesValues(input, recordDelimiter, fieldDelimiter), + const { xValues, series } = getSeriesValues(input, recordDelimiter, fieldDelimiter), allSeriesHeight = Object.keys(series).length * (interSeriesPadding + seriesHeight), svgHeight = allSeriesHeight + xAxisHeight + interSeriesPadding; @@ -162,7 +84,7 @@ const Charts = { .attr("height", "100%") .attr("viewBox", `0 0 ${svgWidth} ${svgHeight}`); - let xAxis = d3.scalePoint() + const xAxis = d3.scalePoint() .domain(xValues) .range([0, seriesWidth]); @@ -181,14 +103,14 @@ const Charts = { .style("text-anchor", "middle") .text(xLabel); - let tooltipText = {}, + const tooltipText = {}, tooltipAreaWidth = seriesWidth / xValues.length; xValues.forEach(x => { - let tooltip = []; + const tooltip = []; series.forEach(serie => { - let y = serie.data[x]; + const y = serie.data[x]; if (typeof y === "undefined") return; tooltip.push(`${serie.name}: ${y}`); @@ -197,7 +119,7 @@ const Charts = { tooltipText[x] = tooltip.join("\n"); }); - let chartArea = svg.append("g") + const chartArea = svg.append("g") .attr("transform", `translate(${seriesLabelWidth}, ${xAxisHeight})`); chartArea @@ -222,16 +144,16 @@ const Charts = { `.replace(/\s{2,}/g, "\n"); }); - let yAxesArea = svg.append("g") + const yAxesArea = svg.append("g") .attr("transform", `translate(0, ${xAxisHeight})`); series.forEach((serie, seriesIndex) => { - let yExtent = d3.extent(Object.values(serie.data)), + const yExtent = d3.extent(Object.values(serie.data)), yAxis = d3.scaleLinear() .domain(yExtent) .range([seriesHeight, 0]); - let seriesGroup = chartArea + const seriesGroup = chartArea .append("g") .attr("transform", `translate(0, ${seriesHeight * seriesIndex + interSeriesPadding * (seriesIndex + 1)})`); @@ -257,7 +179,7 @@ const Charts = { .attr("stroke-width", "1"); xValues.forEach(x => { - let y = serie.data[x]; + const y = serie.data[x]; if (typeof y === "undefined") return; seriesGroup @@ -291,7 +213,8 @@ const Charts = { }); return svg._groups[0][0].outerHTML; - }, -}; + } -export default Charts; +} + +export default SeriesChart; From f8874fc58665cee30b7f77f49323a20fdb453d87 Mon Sep 17 00:00:00 2001 From: Matt Date: Sun, 10 Mar 2019 11:44:02 +0000 Subject: [PATCH 14/47] Actually made operations work (and made the module 8MB) Unfortunately they need jsdom --- package-lock.json | 376 ++++++++++++------------ package.json | 3 +- src/core/lib/Charts.mjs | 2 - src/core/operations/HeatmapChart.mjs | 6 +- src/core/operations/HexDensityChart.mjs | 6 +- src/core/operations/ScatterChart.mjs | 8 +- src/core/operations/SeriesChart.mjs | 6 +- webpack.config.js | 5 +- 8 files changed, 211 insertions(+), 201 deletions(-) diff --git a/package-lock.json b/package-lock.json index 207a3058..b2311d3b 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1334,8 +1334,7 @@ "abab": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/abab/-/abab-2.0.0.tgz", - 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"integrity": "sha1-rifbOPZgp64uHDt9G8KQgZuFGeY=", - "dev": true + "integrity": "sha1-rifbOPZgp64uHDt9G8KQgZuFGeY=" }, "table": { "version": "5.2.2", @@ -12791,7 +12792,6 @@ "version": "2.4.3", "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-2.4.3.tgz", "integrity": "sha512-Q5srk/4vDM54WJsJio3XNn6K2sCG+CQ8G5Wz6bZhRZoAe/+TxjWB/GlFAnYEbkYVlON9FMk/fE3h2RLpPXo4lQ==", - "dev": true, "requires": { "psl": "^1.1.24", "punycode": "^1.4.1" @@ -12800,8 +12800,7 @@ "punycode": { "version": "1.4.1", "resolved": "https://registry.npmjs.org/punycode/-/punycode-1.4.1.tgz", - "integrity": "sha1-wNWmOycYgArY4esPpSachN1BhF4=", - "dev": true + "integrity": "sha1-wNWmOycYgArY4esPpSachN1BhF4=" } } }, @@ -12809,7 +12808,6 @@ "version": "1.0.1", "resolved": "https://registry.npmjs.org/tr46/-/tr46-1.0.1.tgz", "integrity": "sha1-qLE/1r/SSJUZZ0zN5VujaTtwbQk=", - "dev": true, "requires": { "punycode": "^2.1.0" } @@ -12875,7 +12873,6 @@ "version": "0.6.0", "resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz", "integrity": "sha1-J6XeoGs2sEoKmWZ3SykIaPD8QP0=", - "dev": true, "requires": { "safe-buffer": "^5.0.1" } @@ -13136,7 +13133,6 @@ "version": "4.2.2", "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.2.2.tgz", "integrity": "sha512-KY9Frmirql91X2Qgjry0Wd4Y+YTdrdZheS8TFwvkbLWf/G5KNJDCh6pKL5OZctEW4+0Baa5idK2ZQuELRwPznQ==", - "dev": true, "requires": { "punycode": "^2.1.0" } @@ -13292,8 +13288,7 @@ "uuid": { "version": "3.3.2", "resolved": "https://registry.npmjs.org/uuid/-/uuid-3.3.2.tgz", - "integrity": "sha512-yXJmeNaw3DnnKAOKJE51sL/ZaYfWJRl1pK9dr19YFCu0ObS231AB1/LbqTKRAQ5kw8A90rA6fr4riOUpTZvQZA==", - "dev": true + "integrity": "sha512-yXJmeNaw3DnnKAOKJE51sL/ZaYfWJRl1pK9dr19YFCu0ObS231AB1/LbqTKRAQ5kw8A90rA6fr4riOUpTZvQZA==" }, "valid-data-url": { "version": "0.1.6", @@ -13327,7 +13322,6 @@ "version": "1.10.0", "resolved": "https://registry.npmjs.org/verror/-/verror-1.10.0.tgz", "integrity": "sha1-OhBcoXBTr1XW4nDB+CiGguGNpAA=", - "dev": true, "requires": { "assert-plus": "^1.0.0", "core-util-is": "1.0.2", @@ -13352,11 +13346,20 @@ "version": "1.0.1", "resolved": "https://registry.npmjs.org/w3c-hr-time/-/w3c-hr-time-1.0.1.tgz", "integrity": "sha1-gqwr/2PZUOqeMYmlimViX+3xkEU=", - "dev": true, "requires": { "browser-process-hrtime": "^0.1.2" } }, + "w3c-xmlserializer": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/w3c-xmlserializer/-/w3c-xmlserializer-1.0.1.tgz", + "integrity": "sha512-XZGI1OH/OLQr/NaJhhPmzhngwcAnZDLytsvXnRmlYeRkmbb0I7sqFFA22erq4WQR0sUu17ZSQOAV9mFwCqKRNg==", + "requires": { + "domexception": "^1.0.1", + "webidl-conversions": "^4.0.2", + "xml-name-validator": "^3.0.0" + } + }, "watchpack": { "version": "1.6.0", "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-1.6.0.tgz", @@ -13444,8 +13447,7 @@ "webidl-conversions": { "version": "4.0.2", "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-4.0.2.tgz", - "integrity": "sha512-YQ+BmxuTgd6UXZW3+ICGfyqRyHXVlD5GtQr5+qjiNW7bF0cqrzX500HVXPBOvgXb5YnzDd+h0zqyv61KUD7+Sg==", - "dev": true + "integrity": "sha512-YQ+BmxuTgd6UXZW3+ICGfyqRyHXVlD5GtQr5+qjiNW7bF0cqrzX500HVXPBOvgXb5YnzDd+h0zqyv61KUD7+Sg==" }, "webpack": { "version": "4.28.3", @@ -13936,22 +13938,19 @@ "version": "1.0.5", "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-1.0.5.tgz", "integrity": "sha512-b5lim54JOPN9HtzvK9HFXvBma/rnfFeqsic0hSpjtDbVxR3dJKLc+KB4V6GgiGOvl7CY/KNh8rxSo9DKQrnUEw==", - "dev": true, "requires": { "iconv-lite": "0.4.24" } }, "whatwg-mimetype": { - "version": "2.2.0", - "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-2.2.0.tgz", - "integrity": "sha512-5YSO1nMd5D1hY3WzAQV3PzZL83W3YeyR1yW9PcH26Weh1t+Vzh9B6XkDh7aXm83HBZ4nSMvkjvN2H2ySWIvBgw==", - "dev": true + "version": "2.3.0", + "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-2.3.0.tgz", + "integrity": "sha512-M4yMwr6mAnQz76TbJm914+gPpB/nCwvZbJU28cUD6dR004SAxDLOOSUaB1JDRqLtaOV/vi0IC5lEAGFgrjGv/g==" }, "whatwg-url": { - "version": "6.5.0", - "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-6.5.0.tgz", - "integrity": "sha512-rhRZRqx/TLJQWUpQ6bmrt2UV4f0HCQ463yQuONJqC6fO2VoEb1pTYddbe59SkYq87aoM5A3bdhMZiUiVws+fzQ==", - "dev": true, + "version": "7.0.0", + "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-7.0.0.tgz", + "integrity": "sha512-37GeVSIJ3kn1JgKyjiYNmSLP1yzbpb29jdmwBSgkD9h40/hyrR/OifpVUndji3tmwGgD8qpw7iQu3RSbCrBpsQ==", "requires": { "lodash.sortby": "^4.7.0", "tr46": "^1.0.1", @@ -14085,10 +14084,9 @@ } }, "ws": { - "version": "5.2.2", - "resolved": "https://registry.npmjs.org/ws/-/ws-5.2.2.tgz", - "integrity": "sha512-jaHFD6PFv6UgoIVda6qZllptQsMlDEJkTQcybzzXDYM1XO9Y8em691FGMPmM46WGyLU4z9KMgQN+qrux/nhlHA==", - "dev": true, + "version": "6.2.0", + "resolved": "https://registry.npmjs.org/ws/-/ws-6.2.0.tgz", + "integrity": "sha512-deZYUNlt2O4buFCa3t5bKLf8A7FPP/TVjwOeVNpw818Ma5nk4MLXls2eoEGS39o8119QIYxTrTDoPQ5B/gTD6w==", "requires": { "async-limiter": "~1.0.0" } @@ -14107,8 +14105,7 @@ "xml-name-validator": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/xml-name-validator/-/xml-name-validator-3.0.0.tgz", - "integrity": "sha512-A5CUptxDsvxKJEU3yO6DuWBSJz/qizqzJKOMIfUJHETbBw/sFaDxgd6fxm1ewUaM0jZ444Fc5vC5ROYurg/4Pw==", - "dev": true + "integrity": "sha512-A5CUptxDsvxKJEU3yO6DuWBSJz/qizqzJKOMIfUJHETbBw/sFaDxgd6fxm1ewUaM0jZ444Fc5vC5ROYurg/4Pw==" }, "xml-parse-from-string": { "version": "1.0.1", @@ -14137,6 +14134,11 @@ "integrity": "sha512-OyzrcFLL/nb6fMGHbiRDuPup9ljBycsdCypwuyg5AAHvyWzGfChJpCXMG88AGTIMFhGZ9RccFN1e6lhg3hkwKg==", "dev": true }, + "xmlchars": { + "version": "1.3.1", + "resolved": "https://registry.npmjs.org/xmlchars/-/xmlchars-1.3.1.tgz", + "integrity": "sha512-tGkGJkN8XqCod7OT+EvGYK5Z4SfDQGD30zAa58OcnAa0RRWgzUEK72tkXhsX1FZd+rgnhRxFtmO+ihkp8LHSkw==" + }, "xmlcreate": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/xmlcreate/-/xmlcreate-1.0.2.tgz", diff --git a/package.json b/package.json index 065adba4..f71f7709 100644 --- a/package.json +++ b/package.json @@ -89,9 +89,9 @@ "chi-squared": "^1.1.0", "crypto-api": "^0.8.3", "crypto-js": "^3.1.9-1", + "ctph.js": "0.0.5", "d3": "^4.9.1", "d3-hexbin": "^0.2.2", - "ctph.js": "0.0.5", "diff": "^3.5.0", "es6-promisify": "^6.0.1", "escodegen": "^1.11.0", @@ -105,6 +105,7 @@ "jquery": "^3.3.1", "js-crc": "^0.2.0", "js-sha3": "^0.8.0", + "jsdom": "^14.0.0", "jsesc": "^2.5.2", "jsonpath": "^1.0.0", "jsonwebtoken": "^8.4.0", diff --git a/src/core/lib/Charts.mjs b/src/core/lib/Charts.mjs index 52585505..1b9be128 100644 --- a/src/core/lib/Charts.mjs +++ b/src/core/lib/Charts.mjs @@ -50,7 +50,6 @@ export function getValues(input, recordDelimiter, fieldDelimiter, columnHeadings .split(recordDelimiter) .forEach((row, rowIndex) => { const split = row.split(fieldDelimiter); - if (split.length !== length) throw new OperationError(`Each row must have length ${length}.`); if (columnHeadingsAreIncluded && rowIndex === 0) { @@ -59,7 +58,6 @@ export function getValues(input, recordDelimiter, fieldDelimiter, columnHeadings values.push(split); } }); - return { headings, values}; } diff --git a/src/core/operations/HeatmapChart.mjs b/src/core/operations/HeatmapChart.mjs index 047ce054..eda20fcc 100644 --- a/src/core/operations/HeatmapChart.mjs +++ b/src/core/operations/HeatmapChart.mjs @@ -5,6 +5,7 @@ */ import * as d3 from "d3"; +import jsdom from "jsdom"; import { getScatterValues, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; @@ -89,8 +90,8 @@ class HeatmapChart extends Operation { * @returns {html} */ run(input, args) { - const recordDelimiter = Utils.charRep[args[0]], - fieldDelimiter = Utils.charRep[args[1]], + const recordDelimiter = Utils.charRep(args[0]), + fieldDelimiter = Utils.charRep(args[1]), vBins = args[2], hBins = args[3], columnHeadingsAreIncluded = args[4], @@ -116,6 +117,7 @@ class HeatmapChart extends Operation { yLabel = headings.y; } + const document = new jsdom.JSDOM().window.document; let svg = document.createElement("svg"); svg = d3.select(svg) .attr("width", "100%") diff --git a/src/core/operations/HexDensityChart.mjs b/src/core/operations/HexDensityChart.mjs index 3d010f13..56be19c3 100644 --- a/src/core/operations/HexDensityChart.mjs +++ b/src/core/operations/HexDensityChart.mjs @@ -6,6 +6,7 @@ import * as d3 from "d3"; import * as d3hexbin from "d3-hexbin"; +import jsdom from "jsdom"; import { getScatterValues, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; import Operation from "../Operation"; @@ -94,8 +95,8 @@ class HexDensityChart extends Operation { * @returns {html} */ run(input, args) { - const recordDelimiter = Utils.charRep[args[0]], - fieldDelimiter = Utils.charRep[args[1]], + const recordDelimiter = Utils.charRep(args[0]), + fieldDelimiter = Utils.charRep(args[1]), packRadius = args[2], drawRadius = args[3], columnHeadingsAreIncluded = args[4], @@ -119,6 +120,7 @@ class HexDensityChart extends Operation { yLabel = headings.y; } + const document = new jsdom.JSDOM().window.document; let svg = document.createElement("svg"); svg = d3.select(svg) .attr("width", "100%") diff --git a/src/core/operations/ScatterChart.mjs b/src/core/operations/ScatterChart.mjs index acd527cf..bdec508a 100644 --- a/src/core/operations/ScatterChart.mjs +++ b/src/core/operations/ScatterChart.mjs @@ -5,6 +5,7 @@ */ import * as d3 from "d3"; +import jsdom from "jsdom"; import { getScatterValues, getScatterValuesWithColour, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; import Operation from "../Operation"; @@ -77,8 +78,8 @@ class ScatterChart extends Operation { * @returns {html} */ run(input, args) { - const recordDelimiter = Utils.charRep[args[0]], - fieldDelimiter = Utils.charRep[args[1]], + const recordDelimiter = Utils.charRep(args[0]), + fieldDelimiter = Utils.charRep(args[1]), columnHeadingsAreIncluded = args[2], fillColour = args[5], radius = args[6], @@ -89,7 +90,6 @@ class ScatterChart extends Operation { yLabel = args[4]; const dataFunction = colourInInput ? getScatterValuesWithColour : getScatterValues; - const { headings, values } = dataFunction( input, recordDelimiter, @@ -101,7 +101,7 @@ class ScatterChart extends Operation { xLabel = headings.x; yLabel = headings.y; } - + const document = new jsdom.JSDOM().window.document; let svg = document.createElement("svg"); svg = d3.select(svg) .attr("width", "100%") diff --git a/src/core/operations/SeriesChart.mjs b/src/core/operations/SeriesChart.mjs index 34dd6ec0..fbdca826 100644 --- a/src/core/operations/SeriesChart.mjs +++ b/src/core/operations/SeriesChart.mjs @@ -5,6 +5,7 @@ */ import * as d3 from "d3"; +import jsdom from "jsdom"; import { getSeriesValues, RECORD_DELIMITER_OPTIONS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; import Operation from "../Operation"; @@ -62,8 +63,8 @@ class SeriesChart extends Operation { * @returns {html} */ run(input, args) { - const recordDelimiter = Utils.charRep[args[0]], - fieldDelimiter = Utils.charRep[args[1]], + const recordDelimiter = Utils.charRep(args[0]), + fieldDelimiter = Utils.charRep(args[1]), xLabel = args[2], pipRadius = args[3], seriesColours = args[4].split(","), @@ -78,6 +79,7 @@ class SeriesChart extends Operation { allSeriesHeight = Object.keys(series).length * (interSeriesPadding + seriesHeight), svgHeight = allSeriesHeight + xAxisHeight + interSeriesPadding; + const document = new jsdom.JSDOM().window.document; let svg = document.createElement("svg"); svg = d3.select(svg) .attr("width", "100%") diff --git a/webpack.config.js b/webpack.config.js index 054152b2..43e277ee 100644 --- a/webpack.config.js +++ b/webpack.config.js @@ -130,7 +130,10 @@ module.exports = { ], }, node: { - fs: "empty" + fs: "empty", + "child_process": "empty", + net: "empty", + tls: "empty" }, performance: { hints: false From 0019a4e1db88d94c221f6072a54ae3b3c142a7f9 Mon Sep 17 00:00:00 2001 From: Matt Date: Sun, 10 Mar 2019 12:03:53 +0000 Subject: [PATCH 15/47] Found a different dom implementation that removes 6MB --- package-lock.json | 4 ++++ package.json | 1 + src/core/operations/HeatmapChart.mjs | 4 ++-- src/core/operations/HexDensityChart.mjs | 4 ++-- src/core/operations/ScatterChart.mjs | 5 +++-- src/core/operations/SeriesChart.mjs | 4 ++-- 6 files changed, 14 insertions(+), 8 deletions(-) diff --git a/package-lock.json b/package-lock.json index b2311d3b..a1136b70 100644 --- a/package-lock.json +++ b/package-lock.json @@ -9250,6 +9250,10 @@ } } }, + "nodom": { + "version": "github:ptytb/nodom#f041f9f85a6e21adb8e48273e6dd84474c773a01", + "from": "github:ptytb/nodom" + }, "nomnom": { "version": "1.5.2", "resolved": "https://registry.npmjs.org/nomnom/-/nomnom-1.5.2.tgz", diff --git a/package.json b/package.json index f71f7709..2ff2dfbb 100644 --- a/package.json +++ b/package.json @@ -121,6 +121,7 @@ "ngeohash": "^0.6.3", "node-forge": "^0.7.6", "node-md6": "^0.1.0", + "nodom": "github:ptytb/nodom", "notepack.io": "^2.2.0", "nwmatcher": "^1.4.4", "otp": "^0.1.3", diff --git a/src/core/operations/HeatmapChart.mjs b/src/core/operations/HeatmapChart.mjs index eda20fcc..9852a4ad 100644 --- a/src/core/operations/HeatmapChart.mjs +++ b/src/core/operations/HeatmapChart.mjs @@ -5,7 +5,7 @@ */ import * as d3 from "d3"; -import jsdom from "jsdom"; +import * as nodom from "nodom"; import { getScatterValues, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; @@ -117,7 +117,7 @@ class HeatmapChart extends Operation { yLabel = headings.y; } - const document = new jsdom.JSDOM().window.document; + const document = new nodom.Document(); let svg = document.createElement("svg"); svg = d3.select(svg) .attr("width", "100%") diff --git a/src/core/operations/HexDensityChart.mjs b/src/core/operations/HexDensityChart.mjs index 56be19c3..dc04bf33 100644 --- a/src/core/operations/HexDensityChart.mjs +++ b/src/core/operations/HexDensityChart.mjs @@ -6,7 +6,7 @@ import * as d3 from "d3"; import * as d3hexbin from "d3-hexbin"; -import jsdom from "jsdom"; +import * as nodom from "nodom"; import { getScatterValues, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; import Operation from "../Operation"; @@ -120,7 +120,7 @@ class HexDensityChart extends Operation { yLabel = headings.y; } - const document = new jsdom.JSDOM().window.document; + const document = new nodom.Document(); let svg = document.createElement("svg"); svg = d3.select(svg) .attr("width", "100%") diff --git a/src/core/operations/ScatterChart.mjs b/src/core/operations/ScatterChart.mjs index bdec508a..6898a91e 100644 --- a/src/core/operations/ScatterChart.mjs +++ b/src/core/operations/ScatterChart.mjs @@ -5,7 +5,7 @@ */ import * as d3 from "d3"; -import jsdom from "jsdom"; +import * as nodom from "nodom"; import { getScatterValues, getScatterValuesWithColour, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; import Operation from "../Operation"; @@ -101,7 +101,8 @@ class ScatterChart extends Operation { xLabel = headings.x; yLabel = headings.y; } - const document = new jsdom.JSDOM().window.document; + + const document = new nodom.Document(); let svg = document.createElement("svg"); svg = d3.select(svg) .attr("width", "100%") diff --git a/src/core/operations/SeriesChart.mjs b/src/core/operations/SeriesChart.mjs index fbdca826..548aa7f2 100644 --- a/src/core/operations/SeriesChart.mjs +++ b/src/core/operations/SeriesChart.mjs @@ -5,7 +5,7 @@ */ import * as d3 from "d3"; -import jsdom from "jsdom"; +import * as nodom from "nodom"; import { getSeriesValues, RECORD_DELIMITER_OPTIONS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; import Operation from "../Operation"; @@ -79,7 +79,7 @@ class SeriesChart extends Operation { allSeriesHeight = Object.keys(series).length * (interSeriesPadding + seriesHeight), svgHeight = allSeriesHeight + xAxisHeight + interSeriesPadding; - const document = new jsdom.JSDOM().window.document; + const document = new nodom.Document(); let svg = document.createElement("svg"); svg = d3.select(svg) .attr("width", "100%") From 650145442486f56abcd956b515dbe807f3b536f4 Mon Sep 17 00:00:00 2001 From: Matt Date: Sun, 10 Mar 2019 13:08:47 +0000 Subject: [PATCH 16/47] Cleanup --- src/core/config/Categories.json | 6 +++++- src/core/operations/HeatmapChart.mjs | 11 ++++++----- src/core/operations/HexDensityChart.mjs | 5 +++-- src/core/operations/ScatterChart.mjs | 6 ++++-- src/core/operations/SeriesChart.mjs | 5 +++-- 5 files changed, 21 insertions(+), 12 deletions(-) diff --git a/src/core/config/Categories.json b/src/core/config/Categories.json index 8235ab10..f8f29be9 100755 --- a/src/core/config/Categories.json +++ b/src/core/config/Categories.json @@ -359,7 +359,11 @@ "Play Media", "Remove EXIF", "Extract EXIF", - "Split Colour Channels" + "Split Colour Channels", + "Hex Density chart", + "Scatter chart", + "Series chart", + "Heatmap chart" ] }, { diff --git a/src/core/operations/HeatmapChart.mjs b/src/core/operations/HeatmapChart.mjs index 9852a4ad..6620e7aa 100644 --- a/src/core/operations/HeatmapChart.mjs +++ b/src/core/operations/HeatmapChart.mjs @@ -26,8 +26,8 @@ class HeatmapChart extends Operation { this.name = "Heatmap chart"; this.module = "Charts"; - this.description = ""; - this.infoURL = ""; + this.description = "A heatmap is a graphical representation of data where the individual values contained in a matrix are represented as colors."; + this.infoURL = "https://wikipedia.org/wiki/Heat_map"; this.inputType = "string"; this.outputType = "html"; this.args = [ @@ -85,6 +85,8 @@ class HeatmapChart extends Operation { } /** + * Heatmap chart operation. + * * @param {string} input * @param {Object[]} args * @returns {html} @@ -99,7 +101,6 @@ class HeatmapChart extends Operation { minColour = args[8], maxColour = args[9], dimension = 500; - if (vBins <= 0) throw new OperationError("Number of vertical bins must be greater than 0"); if (hBins <= 0) throw new OperationError("Number of horizontal bins must be greater than 0"); @@ -182,7 +183,7 @@ class HeatmapChart extends Operation { .attr("stroke-width", drawEdges ? "0.5" : "none") .append("title") .text(d => { - let count = d.length, + const count = d.length, perc = 100.0 * d.length / values.length, tooltip = `Count: ${count}\n Percentage: ${perc.toFixed(2)}%\n @@ -218,7 +219,7 @@ class HeatmapChart extends Operation { /** * Packs a list of x, y coordinates into a number of bins for use in a heatmap. - * + * * @param {Object[]} points * @param {number} number of vertical bins * @param {number} number of horizontal bins diff --git a/src/core/operations/HexDensityChart.mjs b/src/core/operations/HexDensityChart.mjs index dc04bf33..c9912599 100644 --- a/src/core/operations/HexDensityChart.mjs +++ b/src/core/operations/HexDensityChart.mjs @@ -25,8 +25,7 @@ class HexDensityChart extends Operation { this.name = "Hex Density chart"; this.module = "Charts"; - this.description = ""; - this.infoURL = ""; + this.description = "Hex density charts are used in a similar way to scatter charts, however rather than rendering tens of thousands of points, it groups the points into a few hundred hexagons to show the distribution."; this.inputType = "string"; this.outputType = "html"; this.args = [ @@ -90,6 +89,8 @@ class HexDensityChart extends Operation { /** + * Hex Bin chart operation. + * * @param {string} input * @param {Object[]} args * @returns {html} diff --git a/src/core/operations/ScatterChart.mjs b/src/core/operations/ScatterChart.mjs index 6898a91e..fa642449 100644 --- a/src/core/operations/ScatterChart.mjs +++ b/src/core/operations/ScatterChart.mjs @@ -24,8 +24,8 @@ class ScatterChart extends Operation { this.name = "Scatter chart"; this.module = "Charts"; - this.description = ""; - this.infoURL = ""; + this.description = "Plots two-variable data as single points on a graph."; + this.infoURL = "https://en.wikipedia.org/wiki/Scatter_plot"; this.inputType = "string"; this.outputType = "html"; this.args = [ @@ -73,6 +73,8 @@ class ScatterChart extends Operation { } /** + * Scatter chart operation. + * * @param {string} input * @param {Object[]} args * @returns {html} diff --git a/src/core/operations/SeriesChart.mjs b/src/core/operations/SeriesChart.mjs index 548aa7f2..bccbc7ed 100644 --- a/src/core/operations/SeriesChart.mjs +++ b/src/core/operations/SeriesChart.mjs @@ -24,8 +24,7 @@ class SeriesChart extends Operation { this.name = "Series chart"; this.module = "Charts"; - this.description = ""; - this.infoURL = ""; + this.description = "A time series graph is a line graph of repeated measurements taken over regular time intervals."; this.inputType = "string"; this.outputType = "html"; this.args = [ @@ -58,6 +57,8 @@ class SeriesChart extends Operation { } /** + * Series chart operation. + * * @param {string} input * @param {Object[]} args * @returns {html} From ca6d472e5db13d564b508548f17b7e379d6e806f Mon Sep 17 00:00:00 2001 From: Matt Date: Sun, 10 Mar 2019 16:07:14 +0000 Subject: [PATCH 17/47] Update nodom --- package-lock.json | 5 +++-- package.json | 2 +- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/package-lock.json b/package-lock.json index a1136b70..424b18a4 100644 --- a/package-lock.json +++ b/package-lock.json @@ -9251,8 +9251,9 @@ } }, "nodom": { - "version": "github:ptytb/nodom#f041f9f85a6e21adb8e48273e6dd84474c773a01", - "from": "github:ptytb/nodom" + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/nodom/-/nodom-2.1.0.tgz", + "integrity": "sha512-DKhDki0J0pY0LWeA6tsZpqdkEwD1SRhXc2vPjgU/f9hwJptLzIthU8oiT5d2VrHQuqs9hzykqgTLPyMPJjiZbw==" }, "nomnom": { "version": "1.5.2", diff --git a/package.json b/package.json index 2ff2dfbb..093bf185 100644 --- a/package.json +++ b/package.json @@ -121,7 +121,7 @@ "ngeohash": "^0.6.3", "node-forge": "^0.7.6", "node-md6": "^0.1.0", - "nodom": "github:ptytb/nodom", + "nodom": "^2.1.0", "notepack.io": "^2.2.0", "nwmatcher": "^1.4.4", "otp": "^0.1.3", From fd7fd9ca35b11a09bbe8d04693d2628e44af4b61 Mon Sep 17 00:00:00 2001 From: Matt Date: Mon, 11 Mar 2019 11:55:44 +0000 Subject: [PATCH 18/47] Remove jsdom from dependencies --- package-lock.json | 244 ++++++++++++++++++++++------------------------ package.json | 1 - 2 files changed, 119 insertions(+), 126 deletions(-) diff --git a/package-lock.json b/package-lock.json index 424b18a4..35420aa6 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1334,7 +1334,8 @@ "abab": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/abab/-/abab-2.0.0.tgz", - "integrity": "sha512-sY5AXXVZv4Y1VACTtR11UJCPHHudgY5i26Qj5TypE6DKlIApbwb5uqhXcJ5UUGbvZNRh7EeIoW+LrJumBsKp7w==" + "integrity": "sha512-sY5AXXVZv4Y1VACTtR11UJCPHHudgY5i26Qj5TypE6DKlIApbwb5uqhXcJ5UUGbvZNRh7EeIoW+LrJumBsKp7w==", + "dev": true }, "abbrev": { "version": "1.1.1", @@ -1479,7 +1480,8 @@ "acorn": { "version": "6.0.4", "resolved": "https://registry.npmjs.org/acorn/-/acorn-6.0.4.tgz", - "integrity": "sha512-VY4i5EKSKkofY2I+6QLTbTTN/UvEQPCo6eiwzzSaSWfpaDhOmStMCMod6wmuPciNq+XS0faCglFu2lHZpdHUtg==" + "integrity": "sha512-VY4i5EKSKkofY2I+6QLTbTTN/UvEQPCo6eiwzzSaSWfpaDhOmStMCMod6wmuPciNq+XS0faCglFu2lHZpdHUtg==", + "dev": true }, "acorn-dynamic-import": { "version": "3.0.0", @@ -1502,6 +1504,7 @@ "version": "4.3.0", "resolved": "https://registry.npmjs.org/acorn-globals/-/acorn-globals-4.3.0.tgz", "integrity": "sha512-hMtHj3s5RnuhvHPowpBYvJVj3rAar82JiDQHvGs1zO0l10ocX/xEdBShNHTJaboucJUsScghp74pH3s7EnHHQw==", + "dev": true, "requires": { "acorn": "^6.0.1", "acorn-walk": "^6.0.1" @@ -1516,7 +1519,8 @@ "acorn-walk": { "version": "6.1.1", "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-6.1.1.tgz", - "integrity": "sha512-OtUw6JUTgxA2QoqqmrmQ7F2NYqiBPi/L2jqHyFtllhOUvXYQXf0Z1CYUinIfyT4bTCGmrA7gX9FvHA81uzCoVw==" + "integrity": "sha512-OtUw6JUTgxA2QoqqmrmQ7F2NYqiBPi/L2jqHyFtllhOUvXYQXf0Z1CYUinIfyT4bTCGmrA7gX9FvHA81uzCoVw==", + "dev": true }, "agent-base": { "version": "4.2.1", @@ -1542,6 +1546,7 @@ "version": "6.5.5", "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.5.5.tgz", "integrity": "sha512-7q7gtRQDJSyuEHjuVgHoUa2VuemFiCMrfQc9Tc08XTAc4Zj/5U1buQJ0HU6i7fKjXU09SVgSmxa4sLvuvS8Iyg==", + "dev": true, "requires": { "fast-deep-equal": "^2.0.1", "fast-json-stable-stringify": "^2.0.0", @@ -1693,7 +1698,8 @@ "array-equal": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/array-equal/-/array-equal-1.0.0.tgz", - "integrity": "sha1-jCpe8kcv2ep0KwTHenUJO6J1fJM=" + "integrity": "sha1-jCpe8kcv2ep0KwTHenUJO6J1fJM=", + "dev": true }, "array-find-index": { "version": "1.0.2", @@ -1743,6 +1749,7 @@ "version": "0.2.4", "resolved": "https://registry.npmjs.org/asn1/-/asn1-0.2.4.tgz", "integrity": "sha512-jxwzQpLQjSmWXgwaCZE9Nz+glAG01yF1QnWgbhGwHI5A6FRIEY6IVqtHhIepHqI7/kyEyQEagBC5mBEFlIYvdg==", + "dev": true, "requires": { "safer-buffer": "~2.1.0" } @@ -1787,7 +1794,8 @@ "assert-plus": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/assert-plus/-/assert-plus-1.0.0.tgz", - "integrity": "sha1-8S4PPF13sLHN2RRpQuTpbB5N1SU=" + "integrity": "sha1-8S4PPF13sLHN2RRpQuTpbB5N1SU=", + "dev": true }, "assertion-error": { "version": "1.1.0", @@ -1837,12 +1845,14 @@ "async-limiter": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/async-limiter/-/async-limiter-1.0.0.tgz", - "integrity": "sha512-jp/uFnooOiO+L211eZOoSyzpOITMXx1rBITauYykG3BRYPu8h0UcxsPNB04RR5vo4Tyz3+ay17tR6JVf9qzYWg==" + "integrity": "sha512-jp/uFnooOiO+L211eZOoSyzpOITMXx1rBITauYykG3BRYPu8h0UcxsPNB04RR5vo4Tyz3+ay17tR6JVf9qzYWg==", + "dev": true }, "asynckit": { "version": "0.4.0", "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz", - "integrity": "sha1-x57Zf380y48robyXkLzDZkdLS3k=" + "integrity": "sha1-x57Zf380y48robyXkLzDZkdLS3k=", + "dev": true }, "atob": { "version": "2.1.2", @@ -1909,12 +1919,14 @@ "aws-sign2": { "version": "0.7.0", "resolved": "https://registry.npmjs.org/aws-sign2/-/aws-sign2-0.7.0.tgz", - "integrity": "sha1-tG6JCTSpWR8tL2+G1+ap8bP+dqg=" + "integrity": "sha1-tG6JCTSpWR8tL2+G1+ap8bP+dqg=", + "dev": true }, "aws4": { "version": "1.8.0", "resolved": "https://registry.npmjs.org/aws4/-/aws4-1.8.0.tgz", - "integrity": "sha512-ReZxvNHIOv88FlT7rxcXIIC0fPt4KZqZbOlivyWtXLt8ESx84zd3kMC6iK5jVeS2qt+g7ftS7ye4fi06X5rtRQ==" + "integrity": "sha512-ReZxvNHIOv88FlT7rxcXIIC0fPt4KZqZbOlivyWtXLt8ESx84zd3kMC6iK5jVeS2qt+g7ftS7ye4fi06X5rtRQ==", + "dev": true }, "axios": { "version": "0.18.0", @@ -2152,6 +2164,7 @@ "version": "1.0.2", "resolved": "https://registry.npmjs.org/bcrypt-pbkdf/-/bcrypt-pbkdf-1.0.2.tgz", "integrity": "sha1-pDAdOJtqQ/m2f/PKEaP2Y342Dp4=", + "dev": true, "requires": { "tweetnacl": "^0.14.3" }, @@ -2159,7 +2172,8 @@ "tweetnacl": { "version": "0.14.5", "resolved": "https://registry.npmjs.org/tweetnacl/-/tweetnacl-0.14.5.tgz", - "integrity": "sha1-WuaBd/GS1EViadEIr6k/+HQ/T2Q=" + "integrity": "sha1-WuaBd/GS1EViadEIr6k/+HQ/T2Q=", + "dev": true } } }, @@ -2374,7 +2388,8 @@ "browser-process-hrtime": { "version": "0.1.3", "resolved": "https://registry.npmjs.org/browser-process-hrtime/-/browser-process-hrtime-0.1.3.tgz", - "integrity": "sha512-bRFnI4NnjO6cnyLmOV/7PVoDEMJChlcfN0z4s1YMBY989/SvlfMI1lgCnkFUs53e9gQF+w7qu7XdllSTiSl8Aw==" + "integrity": "sha512-bRFnI4NnjO6cnyLmOV/7PVoDEMJChlcfN0z4s1YMBY989/SvlfMI1lgCnkFUs53e9gQF+w7qu7XdllSTiSl8Aw==", + "dev": true }, "browser-stdout": { "version": "1.3.1", @@ -2658,7 +2673,8 @@ "caseless": { "version": "0.12.0", "resolved": "https://registry.npmjs.org/caseless/-/caseless-0.12.0.tgz", - "integrity": "sha1-G2gcIf+EAzyCZUMJBolCDRhxUdw=" + "integrity": "sha1-G2gcIf+EAzyCZUMJBolCDRhxUdw=", + "dev": true }, "catharsis": { "version": "0.8.9", @@ -2944,6 +2960,7 @@ "version": "1.0.7", "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.7.tgz", "integrity": "sha512-brWl9y6vOB1xYPZcpZde3N9zDByXTosAeMDo4p1wzo6UMOX4vumB+TP1RZ76sfE6Md68Q0NJSrE/gbezd4Ul+w==", + "dev": true, "requires": { "delayed-stream": "~1.0.0" } @@ -3182,7 +3199,8 @@ "core-util-is": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/core-util-is/-/core-util-is-1.0.2.tgz", - "integrity": "sha1-tf1UIgqivFq1eqtxQMlAdUUDwac=" + "integrity": "sha1-tf1UIgqivFq1eqtxQMlAdUUDwac=", + "dev": true }, "cosmiconfig": { "version": "4.0.0", @@ -3450,12 +3468,14 @@ "cssom": { "version": "0.3.6", "resolved": "https://registry.npmjs.org/cssom/-/cssom-0.3.6.tgz", - "integrity": "sha512-DtUeseGk9/GBW0hl0vVPpU22iHL6YB5BUX7ml1hB+GMpo0NX5G4voX3kdWiMSEguFtcW3Vh3djqNF4aIe6ne0A==" + "integrity": "sha512-DtUeseGk9/GBW0hl0vVPpU22iHL6YB5BUX7ml1hB+GMpo0NX5G4voX3kdWiMSEguFtcW3Vh3djqNF4aIe6ne0A==", + "dev": true }, "cssstyle": { "version": "1.2.1", "resolved": "https://registry.npmjs.org/cssstyle/-/cssstyle-1.2.1.tgz", "integrity": "sha512-7DYm8qe+gPx/h77QlCyFmX80+fGaE/6A/Ekl0zaszYOubvySO2saYFdQ78P29D0UsULxFKCetDGNaNRUdSF+2A==", + "dev": true, "requires": { "cssom": "0.3.x" } @@ -3750,6 +3770,7 @@ "version": "1.14.1", "resolved": "https://registry.npmjs.org/dashdash/-/dashdash-1.14.1.tgz", "integrity": "sha1-hTz6D3y+L+1d4gMmuN1YEDX24vA=", + "dev": true, "requires": { "assert-plus": "^1.0.0" } @@ -3764,6 +3785,7 @@ "version": "1.1.0", "resolved": "https://registry.npmjs.org/data-urls/-/data-urls-1.1.0.tgz", "integrity": "sha512-YTWYI9se1P55u58gL5GkQHW4P6VJBJ5iBT+B5a7i2Tjadhv52paJG0qHX4A0OR6/t52odI64KP2YvFpkDOi3eQ==", + "dev": true, "requires": { "abab": "^2.0.0", "whatwg-mimetype": "^2.2.0", @@ -3947,7 +3969,8 @@ "delayed-stream": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz", - "integrity": "sha1-3zrhmayt+31ECqrgsp4icrJOxhk=" + "integrity": "sha1-3zrhmayt+31ECqrgsp4icrJOxhk=", + "dev": true }, "delegates": { "version": "1.0.0", @@ -4087,6 +4110,7 @@ "version": "1.0.1", "resolved": "https://registry.npmjs.org/domexception/-/domexception-1.0.1.tgz", "integrity": "sha512-raigMkn7CJNNo6Ihro1fzG7wr3fHuYVytzquZKX5n0yizGsTcYgzdIUwj1X9pK0VvjeihV+XiclP+DjwbsSKug==", + "dev": true, "requires": { "webidl-conversions": "^4.0.2" } @@ -4169,6 +4193,7 @@ "version": "0.1.2", "resolved": "https://registry.npmjs.org/ecc-jsbn/-/ecc-jsbn-0.1.2.tgz", "integrity": "sha1-OoOpBOVDUyh4dMVkt1SThoSamMk=", + "dev": true, "requires": { "jsbn": "~0.1.0", "safer-buffer": "^2.1.0" @@ -4177,7 +4202,8 @@ "jsbn": { "version": "0.1.1", "resolved": "https://registry.npmjs.org/jsbn/-/jsbn-0.1.1.tgz", - "integrity": "sha1-peZUwuWi3rXyAdls77yoDA7y9RM=" + "integrity": "sha1-peZUwuWi3rXyAdls77yoDA7y9RM=", + "dev": true } } }, @@ -4842,7 +4868,8 @@ "extend": { "version": "3.0.2", "resolved": "https://registry.npmjs.org/extend/-/extend-3.0.2.tgz", - "integrity": "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g==" + "integrity": "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g==", + "dev": true }, "extend-shallow": { "version": "3.0.2", @@ -4956,7 +4983,8 @@ "extsprintf": { "version": "1.3.0", "resolved": "https://registry.npmjs.org/extsprintf/-/extsprintf-1.3.0.tgz", - "integrity": "sha1-lpGEQOMEGnpBT4xS48V06zw+HgU=" + "integrity": "sha1-lpGEQOMEGnpBT4xS48V06zw+HgU=", + "dev": true }, "eyes": { "version": "0.1.8", @@ -4967,12 +4995,14 @@ "fast-deep-equal": { "version": "2.0.1", "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-2.0.1.tgz", - "integrity": "sha1-ewUhjd+WZ79/Nwv3/bLLFf3Qqkk=" + "integrity": "sha1-ewUhjd+WZ79/Nwv3/bLLFf3Qqkk=", + "dev": true }, "fast-json-stable-stringify": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/fast-json-stable-stringify/-/fast-json-stable-stringify-2.0.0.tgz", - "integrity": "sha1-1RQsDK7msRifh9OnYREGT4bIu/I=" + "integrity": "sha1-1RQsDK7msRifh9OnYREGT4bIu/I=", + "dev": true }, "fast-levenshtein": { "version": "2.0.6", @@ -5261,12 +5291,14 @@ "forever-agent": { "version": "0.6.1", "resolved": "https://registry.npmjs.org/forever-agent/-/forever-agent-0.6.1.tgz", - "integrity": "sha1-+8cfDEGt6zf5bFd60e1C2P2sypE=" + "integrity": "sha1-+8cfDEGt6zf5bFd60e1C2P2sypE=", + "dev": true }, "form-data": { "version": "2.3.3", "resolved": "https://registry.npmjs.org/form-data/-/form-data-2.3.3.tgz", "integrity": "sha512-1lLKB2Mu3aGP1Q/2eCOx0fNbRMe7XdwktwOruhfqqd0rIJWwN4Dh+E3hrPSlDCXnSR7UtZ1N38rVXm+6+MEhJQ==", + "dev": true, "requires": { "asynckit": "^0.4.0", "combined-stream": "^1.0.6", @@ -6073,6 +6105,7 @@ "version": "0.1.7", "resolved": "https://registry.npmjs.org/getpass/-/getpass-0.1.7.tgz", "integrity": "sha1-Xv+OPmhNVprkyysSgmBOi6YhSfo=", + "dev": true, "requires": { "assert-plus": "^1.0.0" } @@ -6536,12 +6569,14 @@ "har-schema": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/har-schema/-/har-schema-2.0.0.tgz", - "integrity": "sha1-qUwiJOvKwEeCoNkDVSHyRzW37JI=" + "integrity": "sha1-qUwiJOvKwEeCoNkDVSHyRzW37JI=", + "dev": true }, "har-validator": { "version": 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"sha1-5HnICFjfDBsR3dppQPlgEfzaSpo=" + "integrity": "sha1-5HnICFjfDBsR3dppQPlgEfzaSpo=", + "dev": true }, "is-url": { "version": "1.2.4", @@ -7585,7 +7623,8 @@ "isstream": { "version": "0.1.2", "resolved": "https://registry.npmjs.org/isstream/-/isstream-0.1.2.tgz", - "integrity": "sha1-R+Y/evVa+m+S4VAOaQ64uFKcCZo=" + "integrity": "sha1-R+Y/evVa+m+S4VAOaQ64uFKcCZo=", + "dev": true }, "jimp": { "version": "0.6.0", @@ -7766,50 +7805,6 @@ "integrity": "sha1-hCRCjVtWOtjFx/vsB5uaiwnI3Po=", "dev": true }, - "jsdom": { - "version": "14.0.0", - "resolved": "https://registry.npmjs.org/jsdom/-/jsdom-14.0.0.tgz", - "integrity": "sha512-/VkyPmdtbwqpJSkwDx3YyJ3U1oawYNB/h5z8vTUZGAzjtu2OHTeFRfnJqyMHsJ5Cyes23trOmvUpM1GfHH1leA==", - "requires": { - "abab": "^2.0.0", - "acorn": "^6.0.4", - "acorn-globals": "^4.3.0", - "array-equal": "^1.0.0", - "cssom": "^0.3.4", - "cssstyle": "^1.1.1", - "data-urls": "^1.1.0", - "domexception": "^1.0.1", - "escodegen": "^1.11.0", - "html-encoding-sniffer": "^1.0.2", - 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"requires": { "punycode": "^2.1.0" } @@ -12878,6 +12885,7 @@ "version": "0.6.0", "resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz", "integrity": "sha1-J6XeoGs2sEoKmWZ3SykIaPD8QP0=", + "dev": true, "requires": { "safe-buffer": "^5.0.1" } @@ -13138,6 +13146,7 @@ "version": "4.2.2", "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.2.2.tgz", "integrity": "sha512-KY9Frmirql91X2Qgjry0Wd4Y+YTdrdZheS8TFwvkbLWf/G5KNJDCh6pKL5OZctEW4+0Baa5idK2ZQuELRwPznQ==", + "dev": true, "requires": { "punycode": "^2.1.0" } @@ -13293,7 +13302,8 @@ "uuid": { "version": "3.3.2", "resolved": "https://registry.npmjs.org/uuid/-/uuid-3.3.2.tgz", - "integrity": "sha512-yXJmeNaw3DnnKAOKJE51sL/ZaYfWJRl1pK9dr19YFCu0ObS231AB1/LbqTKRAQ5kw8A90rA6fr4riOUpTZvQZA==" + "integrity": "sha512-yXJmeNaw3DnnKAOKJE51sL/ZaYfWJRl1pK9dr19YFCu0ObS231AB1/LbqTKRAQ5kw8A90rA6fr4riOUpTZvQZA==", + "dev": true }, "valid-data-url": { "version": "0.1.6", @@ -13327,6 +13337,7 @@ "version": "1.10.0", "resolved": 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"https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-4.0.2.tgz", - "integrity": "sha512-YQ+BmxuTgd6UXZW3+ICGfyqRyHXVlD5GtQr5+qjiNW7bF0cqrzX500HVXPBOvgXb5YnzDd+h0zqyv61KUD7+Sg==" + "integrity": "sha512-YQ+BmxuTgd6UXZW3+ICGfyqRyHXVlD5GtQr5+qjiNW7bF0cqrzX500HVXPBOvgXb5YnzDd+h0zqyv61KUD7+Sg==", + "dev": true }, "webpack": { "version": "4.28.3", @@ -13943,6 +13946,7 @@ "version": "1.0.5", "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-1.0.5.tgz", "integrity": "sha512-b5lim54JOPN9HtzvK9HFXvBma/rnfFeqsic0hSpjtDbVxR3dJKLc+KB4V6GgiGOvl7CY/KNh8rxSo9DKQrnUEw==", + "dev": true, "requires": { "iconv-lite": "0.4.24" } @@ -13950,12 +13954,14 @@ "whatwg-mimetype": { "version": "2.3.0", "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-2.3.0.tgz", - "integrity": "sha512-M4yMwr6mAnQz76TbJm914+gPpB/nCwvZbJU28cUD6dR004SAxDLOOSUaB1JDRqLtaOV/vi0IC5lEAGFgrjGv/g==" + "integrity": "sha512-M4yMwr6mAnQz76TbJm914+gPpB/nCwvZbJU28cUD6dR004SAxDLOOSUaB1JDRqLtaOV/vi0IC5lEAGFgrjGv/g==", + "dev": true }, "whatwg-url": { "version": "7.0.0", "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-7.0.0.tgz", "integrity": "sha512-37GeVSIJ3kn1JgKyjiYNmSLP1yzbpb29jdmwBSgkD9h40/hyrR/OifpVUndji3tmwGgD8qpw7iQu3RSbCrBpsQ==", + "dev": true, "requires": { "lodash.sortby": "^4.7.0", "tr46": "^1.0.1", @@ -14088,14 +14094,6 @@ "mkdirp": "^0.5.1" } }, - "ws": { - "version": "6.2.0", - "resolved": "https://registry.npmjs.org/ws/-/ws-6.2.0.tgz", - "integrity": "sha512-deZYUNlt2O4buFCa3t5bKLf8A7FPP/TVjwOeVNpw818Ma5nk4MLXls2eoEGS39o8119QIYxTrTDoPQ5B/gTD6w==", - "requires": { - "async-limiter": "~1.0.0" - } - }, "xhr": { "version": "2.5.0", "resolved": "https://registry.npmjs.org/xhr/-/xhr-2.5.0.tgz", @@ -14110,7 +14108,8 @@ "xml-name-validator": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/xml-name-validator/-/xml-name-validator-3.0.0.tgz", - "integrity": "sha512-A5CUptxDsvxKJEU3yO6DuWBSJz/qizqzJKOMIfUJHETbBw/sFaDxgd6fxm1ewUaM0jZ444Fc5vC5ROYurg/4Pw==" + "integrity": "sha512-A5CUptxDsvxKJEU3yO6DuWBSJz/qizqzJKOMIfUJHETbBw/sFaDxgd6fxm1ewUaM0jZ444Fc5vC5ROYurg/4Pw==", + "dev": true }, "xml-parse-from-string": { "version": "1.0.1", @@ -14139,11 +14138,6 @@ "integrity": "sha512-OyzrcFLL/nb6fMGHbiRDuPup9ljBycsdCypwuyg5AAHvyWzGfChJpCXMG88AGTIMFhGZ9RccFN1e6lhg3hkwKg==", "dev": true }, - "xmlchars": { - "version": "1.3.1", - "resolved": "https://registry.npmjs.org/xmlchars/-/xmlchars-1.3.1.tgz", - "integrity": "sha512-tGkGJkN8XqCod7OT+EvGYK5Z4SfDQGD30zAa58OcnAa0RRWgzUEK72tkXhsX1FZd+rgnhRxFtmO+ihkp8LHSkw==" - }, "xmlcreate": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/xmlcreate/-/xmlcreate-1.0.2.tgz", diff --git a/package.json b/package.json index 093bf185..a1956eea 100644 --- a/package.json +++ b/package.json @@ -105,7 +105,6 @@ "jquery": "^3.3.1", "js-crc": "^0.2.0", "js-sha3": "^0.8.0", - "jsdom": "^14.0.0", "jsesc": "^2.5.2", "jsonpath": "^1.0.0", "jsonwebtoken": "^8.4.0", From cd22985f110801f51276a5494efa8a4aef9a5d86 Mon Sep 17 00:00:00 2001 From: Matt Date: Mon, 11 Mar 2019 12:09:29 +0000 Subject: [PATCH 19/47] Fix categories JSON issue --- src/core/config/Categories.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/core/config/Categories.json b/src/core/config/Categories.json index f670d600..39d7c877 100755 --- a/src/core/config/Categories.json +++ b/src/core/config/Categories.json @@ -365,7 +365,7 @@ "Hex Density chart", "Scatter chart", "Series chart", - "Heatmap chart" + "Heatmap chart", "Rotate Image", "Resize Image", "Blur Image", From 768fef502d89eb37a4e2a195ffcbb78120214039 Mon Sep 17 00:00:00 2001 From: Matt Date: Thu, 14 Mar 2019 11:39:46 +0000 Subject: [PATCH 20/47] Changed version of nodom to actually functioning fork --- package-lock.json | 13 ++++--------- package.json | 2 +- 2 files changed, 5 insertions(+), 10 deletions(-) diff --git a/package-lock.json b/package-lock.json index b33ab0eb..e5026aec 100644 --- a/package-lock.json +++ b/package-lock.json @@ -5438,14 +5438,12 @@ "balanced-match": { "version": "1.0.0", "bundled": true, - "dev": true, - "optional": true + "dev": true }, "brace-expansion": { "version": "1.1.11", "bundled": true, "dev": true, - "optional": true, "requires": { "balanced-match": "^1.0.0", "concat-map": "0.0.1" @@ -5465,8 +5463,7 @@ "concat-map": { "version": "0.0.1", "bundled": true, - "dev": true, - "optional": true + "dev": true }, "console-control-strings": { "version": "1.1.0", @@ -5614,7 +5611,6 @@ "version": "3.0.4", "bundled": true, "dev": true, - "optional": true, "requires": { "brace-expansion": "^1.1.7" } @@ -9257,9 +9253,8 @@ } }, "nodom": { - "version": "2.1.0", - "resolved": "https://registry.npmjs.org/nodom/-/nodom-2.1.0.tgz", - "integrity": "sha512-DKhDki0J0pY0LWeA6tsZpqdkEwD1SRhXc2vPjgU/f9hwJptLzIthU8oiT5d2VrHQuqs9hzykqgTLPyMPJjiZbw==" + "version": "github:artemisbot/nodom#0071b2fa25cbc74e14c7d911cda9b03ea26eac7b", + "from": "github:artemisbot/nodom" }, "nomnom": { "version": "1.5.2", diff --git a/package.json b/package.json index cca45580..61e9d4ed 100644 --- a/package.json +++ b/package.json @@ -120,7 +120,7 @@ "ngeohash": "^0.6.3", "node-forge": "^0.7.6", "node-md6": "^0.1.0", - "nodom": "^2.1.0", + "nodom": "github:artemisbot/nodom", "notepack.io": "^2.2.0", "nwmatcher": "^1.4.4", "otp": "^0.1.3", From 3ad5f889a0621bdc523452f2d912f45418933b11 Mon Sep 17 00:00:00 2001 From: Matt Date: Thu, 14 Mar 2019 13:37:11 +0000 Subject: [PATCH 21/47] Wrote some tests, fixed imports for node --- src/core/lib/Charts.mjs | 4 +- src/core/operations/HTMLToText.mjs | 41 ++++++++++++++++++ src/core/operations/HeatmapChart.mjs | 8 +++- src/core/operations/HexDensityChart.mjs | 12 ++++-- src/core/operations/ScatterChart.mjs | 9 +++- src/core/operations/SeriesChart.mjs | 8 +++- tests/operations/index.mjs | 1 + tests/operations/tests/Charts.mjs | 55 +++++++++++++++++++++++++ 8 files changed, 127 insertions(+), 11 deletions(-) create mode 100644 src/core/operations/HTMLToText.mjs create mode 100644 tests/operations/tests/Charts.mjs diff --git a/src/core/lib/Charts.mjs b/src/core/lib/Charts.mjs index 1b9be128..fa3e5137 100644 --- a/src/core/lib/Charts.mjs +++ b/src/core/lib/Charts.mjs @@ -1,6 +1,6 @@ /** - * @author tlwr [toby@toby.codes] - Original - * @author Matt C [me@mitt.dev] - Conversion to new format + * @author tlwr [toby@toby.codes] + * @author Matt C [me@mitt.dev] * @copyright Crown Copyright 2019 * @license Apache-2.0 */ diff --git a/src/core/operations/HTMLToText.mjs b/src/core/operations/HTMLToText.mjs new file mode 100644 index 00000000..a47ffc46 --- /dev/null +++ b/src/core/operations/HTMLToText.mjs @@ -0,0 +1,41 @@ +/** + * @author tlwr [toby@toby.codes] + * @author Matt C [me@mitt.dev] + * @copyright Crown Copyright 2019 + * @license Apache-2.0 + */ + +import Operation from "../Operation"; + +/** + * HTML To Text operation + */ +class HTMLToText extends Operation { + + /** + * HTMLToText constructor + */ + constructor() { + super(); + + this.name = "HTML To Text"; + this.module = "Default"; + this.description = "Converts a HTML ouput from an operation to a readable string instead of being rendered in the DOM."; + this.infoURL = ""; + this.inputType = "html"; + this.outputType = "string"; + this.args = []; + } + + /** + * @param {html} input + * @param {Object[]} args + * @returns {string} + */ + run(input, args) { + return input; + } + +} + +export default HTMLToText; diff --git a/src/core/operations/HeatmapChart.mjs b/src/core/operations/HeatmapChart.mjs index 6620e7aa..4cde1f30 100644 --- a/src/core/operations/HeatmapChart.mjs +++ b/src/core/operations/HeatmapChart.mjs @@ -1,11 +1,12 @@ /** * @author tlwr [toby@toby.codes] + * @author Matt C [me@mitt.dev] * @copyright Crown Copyright 2019 * @license Apache-2.0 */ -import * as d3 from "d3"; -import * as nodom from "nodom"; +import * as d3temp from "d3"; +import * as nodomtemp from "nodom"; import { getScatterValues, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; @@ -13,6 +14,9 @@ import Operation from "../Operation"; import OperationError from "../errors/OperationError"; import Utils from "../Utils"; +const d3 = d3temp.default ? d3temp.default : d3temp; +const nodom = nodomtemp.default ? nodomtemp.default: nodomtemp; + /** * Heatmap chart operation */ diff --git a/src/core/operations/HexDensityChart.mjs b/src/core/operations/HexDensityChart.mjs index c9912599..6414d97a 100644 --- a/src/core/operations/HexDensityChart.mjs +++ b/src/core/operations/HexDensityChart.mjs @@ -1,17 +1,23 @@ /** * @author tlwr [toby@toby.codes] + * @author Matt C [me@mitt.dev] * @copyright Crown Copyright 2019 * @license Apache-2.0 */ -import * as d3 from "d3"; -import * as d3hexbin from "d3-hexbin"; -import * as nodom from "nodom"; +import * as d3temp from "d3"; +import * as d3hexbintemp from "d3-hexbin"; +import * as nodomtemp from "nodom"; import { getScatterValues, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; import Operation from "../Operation"; import Utils from "../Utils"; +const d3 = d3temp.default ? d3temp.default : d3temp; +const d3hexbin = d3hexbintemp.default ? d3hexbintemp.default : d3hexbintemp; +const nodom = nodomtemp.default ? nodomtemp.default: nodomtemp; + + /** * Hex Density chart operation */ diff --git a/src/core/operations/ScatterChart.mjs b/src/core/operations/ScatterChart.mjs index fa642449..e6d0ec9d 100644 --- a/src/core/operations/ScatterChart.mjs +++ b/src/core/operations/ScatterChart.mjs @@ -1,16 +1,21 @@ /** * @author tlwr [toby@toby.codes] + * @author Matt C [me@mitt.dev] * @copyright Crown Copyright 2019 * @license Apache-2.0 */ -import * as d3 from "d3"; -import * as nodom from "nodom"; +import * as d3temp from "d3"; +import * as nodomtemp from "nodom"; + import { getScatterValues, getScatterValuesWithColour, RECORD_DELIMITER_OPTIONS, COLOURS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; import Operation from "../Operation"; import Utils from "../Utils"; +const d3 = d3temp.default ? d3temp.default : d3temp; +const nodom = nodomtemp.default ? nodomtemp.default: nodomtemp; + /** * Scatter chart operation */ diff --git a/src/core/operations/SeriesChart.mjs b/src/core/operations/SeriesChart.mjs index bccbc7ed..cdae32b7 100644 --- a/src/core/operations/SeriesChart.mjs +++ b/src/core/operations/SeriesChart.mjs @@ -1,16 +1,20 @@ /** * @author tlwr [toby@toby.codes] + * @author Matt C [me@mitt.dev] * @copyright Crown Copyright 2019 * @license Apache-2.0 */ -import * as d3 from "d3"; -import * as nodom from "nodom"; +import * as d3temp from "d3"; +import * as nodomtemp from "nodom"; import { getSeriesValues, RECORD_DELIMITER_OPTIONS, FIELD_DELIMITER_OPTIONS } from "../lib/Charts"; import Operation from "../Operation"; import Utils from "../Utils"; +const d3 = d3temp.default ? d3temp.default : d3temp; +const nodom = nodomtemp.default ? nodomtemp.default: nodomtemp; + /** * Series chart operation */ diff --git a/tests/operations/index.mjs b/tests/operations/index.mjs index fb68ed9c..817529c8 100644 --- a/tests/operations/index.mjs +++ b/tests/operations/index.mjs @@ -33,6 +33,7 @@ import "./tests/BitwiseOp"; import "./tests/ByteRepr"; import "./tests/CartesianProduct"; import "./tests/CharEnc"; +import "./tests/Charts"; import "./tests/Checksum"; import "./tests/Ciphers"; import "./tests/Code"; diff --git a/tests/operations/tests/Charts.mjs b/tests/operations/tests/Charts.mjs new file mode 100644 index 00000000..3bd5c4fd --- /dev/null +++ b/tests/operations/tests/Charts.mjs @@ -0,0 +1,55 @@ +/** + * Chart tests. + * + * @author Matt C [me@mitt.dev] + * @copyright Crown Copyright 2019 + * @license Apache-2.0 + */ +import TestRegister from "../TestRegister"; + +TestRegister.addTests([ + { + name: "Scatter chart", + input: "100 100\n200 200\n300 300\n400 400\n500 500", + expectedMatch: /^ Date: Tue, 19 Mar 2019 11:24:29 +0000 Subject: [PATCH 22/47] Updated nodom dependency to upstream --- package-lock.json | 27 +++++++++++++++++++-------- package.json | 2 +- 2 files changed, 20 insertions(+), 9 deletions(-) diff --git a/package-lock.json b/package-lock.json index e5026aec..fca640e0 100644 --- a/package-lock.json +++ b/package-lock.json @@ -5438,12 +5438,14 @@ "balanced-match": { "version": "1.0.0", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "brace-expansion": { "version": "1.1.11", "bundled": true, "dev": true, + "optional": true, "requires": { "balanced-match": "^1.0.0", "concat-map": "0.0.1" @@ -5458,17 +5460,20 @@ "code-point-at": { "version": "1.1.0", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "concat-map": { "version": "0.0.1", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "console-control-strings": { "version": "1.1.0", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "core-util-is": { "version": "1.0.2", @@ -5585,7 +5590,8 @@ "inherits": { "version": "2.0.3", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "ini": { "version": "1.3.5", @@ -5597,6 +5603,7 @@ "version": "1.0.0", "bundled": true, "dev": true, + "optional": true, "requires": { "number-is-nan": "^1.0.0" } @@ -5611,6 +5618,7 @@ "version": "3.0.4", "bundled": true, "dev": true, + "optional": true, "requires": { "brace-expansion": "^1.1.7" } @@ -5722,7 +5730,8 @@ "number-is-nan": { "version": "1.0.1", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "object-assign": { "version": "4.1.1", @@ -5855,6 +5864,7 @@ "version": "1.0.2", "bundled": true, "dev": true, + "optional": true, "requires": { "code-point-at": "^1.0.0", "is-fullwidth-code-point": "^1.0.0", @@ -9253,8 +9263,9 @@ } }, "nodom": { - "version": "github:artemisbot/nodom#0071b2fa25cbc74e14c7d911cda9b03ea26eac7b", - "from": "github:artemisbot/nodom" + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/nodom/-/nodom-2.2.0.tgz", + "integrity": "sha512-+W3jlsobV3NNkO15xQXkWoboeq1RPa/SKi8NMHmWF33SCMX4ALcM5dpPLEnUs69Gu+uZoCX9wcWXy866LXvd8w==" }, "nomnom": { "version": "1.5.2", diff --git a/package.json b/package.json index 61e9d4ed..dda5a279 100644 --- a/package.json +++ b/package.json @@ -120,7 +120,7 @@ "ngeohash": "^0.6.3", "node-forge": "^0.7.6", "node-md6": "^0.1.0", - "nodom": "github:artemisbot/nodom", + "nodom": "^2.2.0", "notepack.io": "^2.2.0", "nwmatcher": "^1.4.4", "otp": "^0.1.3", From 8707287349b30fafcc91c71837b51a78a4946383 Mon Sep 17 00:00:00 2001 From: mshwed Date: Thu, 21 Mar 2019 20:10:45 -0400 Subject: [PATCH 23/47] Added percent delimiter for "To Hex" operation --- src/core/Utils.mjs | 2 ++ src/core/lib/Hex.mjs | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/src/core/Utils.mjs b/src/core/Utils.mjs index 8e69b020..4be7e466 100755 --- a/src/core/Utils.mjs +++ b/src/core/Utils.mjs @@ -1023,6 +1023,7 @@ class Utils { static charRep(token) { return { "Space": " ", + "Percent": "%", "Comma": ",", "Semi-colon": ";", "Colon": ":", @@ -1047,6 +1048,7 @@ class Utils { static regexRep(token) { return { "Space": /\s+/g, + "Percent": /%/g, "Comma": /,/g, "Semi-colon": /;/g, "Colon": /:/g, diff --git a/src/core/lib/Hex.mjs b/src/core/lib/Hex.mjs index 760d84b5..5ec12e86 100644 --- a/src/core/lib/Hex.mjs +++ b/src/core/lib/Hex.mjs @@ -100,7 +100,7 @@ export function fromHex(data, delim="Auto", byteLen=2) { /** * To Hexadecimal delimiters. */ -export const TO_HEX_DELIM_OPTIONS = ["Space", "Comma", "Semi-colon", "Colon", "Line feed", "CRLF", "0x", "\\x", "None"]; +export const TO_HEX_DELIM_OPTIONS = ["Space", "Percent", "Comma", "Semi-colon", "Colon", "Line feed", "CRLF", "0x", "\\x", "None"]; /** From ef4b977befad8f791cf2ffbf13b8cd679245d304 Mon Sep 17 00:00:00 2001 From: n1474335 Date: Fri, 22 Mar 2019 17:10:00 +0000 Subject: [PATCH 24/47] Added a cyber helper --- package-lock.json | 175 ++++++++++-------- package.json | 1 + src/web/SeasonalWaiter.mjs | 131 +++++++++++++ .../clippy_assets/agents/Bonzi/agent.js | 1 + .../static/clippy_assets/agents/Bonzi/map.png | Bin 0 -> 834208 bytes .../clippy_assets/agents/Bonzi/sounds-mp3.js | 1 + .../clippy_assets/agents/Bonzi/sounds-ogg.js | 1 + .../clippy_assets/agents/Clippy/agent.js | 1 + .../clippy_assets/agents/Clippy/map.png | Bin 0 -> 1333530 bytes .../clippy_assets/agents/Clippy/sounds-mp3.js | 1 + .../clippy_assets/agents/Clippy/sounds-ogg.js | 1 + .../static/clippy_assets/agents/F1/agent.js | 1 + .../static/clippy_assets/agents/F1/map.png | Bin 0 -> 1067669 bytes .../clippy_assets/agents/F1/sounds-mp3.js | 1 + .../clippy_assets/agents/F1/sounds-ogg.js | 1 + .../clippy_assets/agents/Genie/agent.js | 1 + .../static/clippy_assets/agents/Genie/map.png | Bin 0 -> 985553 bytes .../clippy_assets/agents/Genie/sounds-mp3.js | 1 + .../clippy_assets/agents/Genie/sounds-ogg.js | 1 + .../clippy_assets/agents/Genius/agent.js | 1 + .../clippy_assets/agents/Genius/map.png | Bin 0 -> 1175739 bytes .../clippy_assets/agents/Genius/sounds-mp3.js | 1 + .../clippy_assets/agents/Genius/sounds-ogg.js | 1 + .../clippy_assets/agents/Links/agent.js | 1 + .../static/clippy_assets/agents/Links/map.png | Bin 0 -> 819223 bytes .../clippy_assets/agents/Links/sounds-mp3.js | 1 + .../clippy_assets/agents/Links/sounds-ogg.js | 1 + .../clippy_assets/agents/Merlin/agent.js | 1 + .../clippy_assets/agents/Merlin/map.png | Bin 0 -> 1037168 bytes .../clippy_assets/agents/Merlin/sounds-mp3.js | 1 + .../clippy_assets/agents/Merlin/sounds-ogg.js | 1 + .../clippy_assets/agents/Peedy/agent.js | 1 + .../static/clippy_assets/agents/Peedy/map.png | Bin 0 -> 1893941 bytes .../clippy_assets/agents/Peedy/sounds-mp3.js | 1 + .../clippy_assets/agents/Peedy/sounds-ogg.js | 1 + .../clippy_assets/agents/Rocky/agent.js | 1 + .../static/clippy_assets/agents/Rocky/map.png | Bin 0 -> 1239901 bytes .../clippy_assets/agents/Rocky/sounds-mp3.js | 1 + .../clippy_assets/agents/Rocky/sounds-ogg.js | 1 + .../clippy_assets/agents/Rover/agent.js | 1 + .../static/clippy_assets/agents/Rover/map.png | Bin 0 -> 698394 bytes .../clippy_assets/agents/Rover/sounds-mp3.js | 1 + .../clippy_assets/agents/Rover/sounds-ogg.js | 1 + src/web/static/clippy_assets/clippy.css | 62 +++++++ .../static/clippy_assets/images/border.png | Bin 0 -> 229 bytes src/web/static/clippy_assets/images/tip.png | Bin 0 -> 238 bytes src/web/stylesheets/index.js | 1 + 47 files changed, 326 insertions(+), 74 deletions(-) create mode 100755 src/web/static/clippy_assets/agents/Bonzi/agent.js create mode 100755 src/web/static/clippy_assets/agents/Bonzi/map.png create mode 100755 src/web/static/clippy_assets/agents/Bonzi/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/Bonzi/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/agents/Clippy/agent.js create mode 100755 src/web/static/clippy_assets/agents/Clippy/map.png create mode 100755 src/web/static/clippy_assets/agents/Clippy/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/Clippy/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/agents/F1/agent.js create mode 100755 src/web/static/clippy_assets/agents/F1/map.png create mode 100755 src/web/static/clippy_assets/agents/F1/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/F1/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/agents/Genie/agent.js create mode 100755 src/web/static/clippy_assets/agents/Genie/map.png create mode 100755 src/web/static/clippy_assets/agents/Genie/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/Genie/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/agents/Genius/agent.js create mode 100755 src/web/static/clippy_assets/agents/Genius/map.png create mode 100755 src/web/static/clippy_assets/agents/Genius/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/Genius/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/agents/Links/agent.js create mode 100755 src/web/static/clippy_assets/agents/Links/map.png create mode 100755 src/web/static/clippy_assets/agents/Links/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/Links/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/agents/Merlin/agent.js create mode 100755 src/web/static/clippy_assets/agents/Merlin/map.png create mode 100755 src/web/static/clippy_assets/agents/Merlin/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/Merlin/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/agents/Peedy/agent.js create mode 100755 src/web/static/clippy_assets/agents/Peedy/map.png create mode 100755 src/web/static/clippy_assets/agents/Peedy/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/Peedy/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/agents/Rocky/agent.js create mode 100755 src/web/static/clippy_assets/agents/Rocky/map.png create mode 100755 src/web/static/clippy_assets/agents/Rocky/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/Rocky/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/agents/Rover/agent.js create mode 100755 src/web/static/clippy_assets/agents/Rover/map.png create mode 100755 src/web/static/clippy_assets/agents/Rover/sounds-mp3.js create mode 100755 src/web/static/clippy_assets/agents/Rover/sounds-ogg.js create mode 100755 src/web/static/clippy_assets/clippy.css create mode 100755 src/web/static/clippy_assets/images/border.png create mode 100755 src/web/static/clippy_assets/images/tip.png diff --git a/package-lock.json b/package-lock.json index 9fd4a068..710b724f 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1631,7 +1631,7 @@ }, "array-equal": { "version": "1.0.0", - "resolved": "https://registry.npmjs.org/array-equal/-/array-equal-1.0.0.tgz", + "resolved": "http://registry.npmjs.org/array-equal/-/array-equal-1.0.0.tgz", "integrity": "sha1-jCpe8kcv2ep0KwTHenUJO6J1fJM=", "dev": true }, @@ -1716,7 +1716,7 @@ }, "util": { "version": "0.10.3", - "resolved": "https://registry.npmjs.org/util/-/util-0.10.3.tgz", + "resolved": "http://registry.npmjs.org/util/-/util-0.10.3.tgz", "integrity": "sha1-evsa/lCAUkZInj23/g7TeTNqwPk=", "dev": true, "requires": { @@ -1864,7 +1864,7 @@ }, "axios": { "version": "0.18.0", - "resolved": "https://registry.npmjs.org/axios/-/axios-0.18.0.tgz", + "resolved": "http://registry.npmjs.org/axios/-/axios-0.18.0.tgz", "integrity": "sha1-MtU+SFHv3AoRmTts0AB4nXDAUQI=", "dev": true, "requires": { @@ -2334,7 +2334,7 @@ }, "browserify-aes": { "version": "1.2.0", - "resolved": "https://registry.npmjs.org/browserify-aes/-/browserify-aes-1.2.0.tgz", + "resolved": "http://registry.npmjs.org/browserify-aes/-/browserify-aes-1.2.0.tgz", "integrity": 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"dev": true, "requires": { @@ -2639,7 +2639,7 @@ }, "chalk": { "version": "1.1.3", - "resolved": "https://registry.npmjs.org/chalk/-/chalk-1.1.3.tgz", + "resolved": "http://registry.npmjs.org/chalk/-/chalk-1.1.3.tgz", "integrity": "sha1-qBFcVeSnAv5NFQq9OHKCKn4J/Jg=", "requires": { "ansi-styles": "^2.2.1", @@ -2796,6 +2796,14 @@ "integrity": "sha1-/xnt6Kml5XkyQUewwR8PvLq+1jk=", "dev": true }, + "clippyjs": { + "version": "0.0.3", + "resolved": "https://registry.npmjs.org/clippyjs/-/clippyjs-0.0.3.tgz", + "integrity": "sha512-i4sPaKbCA6PfXiwxNK35E1io6AXN7VGwEGZR9sE8RqOgXPNtRWKbFubmx87JwSuwIrdClO/rkTMjhl2ZyOHjug==", + "requires": { + "jquery": "^3.2.1" + } + }, "cliui": { "version": "3.2.0", "resolved": "https://registry.npmjs.org/cliui/-/cliui-3.2.0.tgz", @@ -3172,7 +3180,7 @@ }, "create-hash": { "version": "1.2.0", - "resolved": "https://registry.npmjs.org/create-hash/-/create-hash-1.2.0.tgz", + "resolved": "http://registry.npmjs.org/create-hash/-/create-hash-1.2.0.tgz", "integrity": 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"http://registry.npmjs.org/eventemitter2/-/eventemitter2-0.4.14.tgz", "integrity": "sha1-j2G3XN4BKy6esoTUVFWDtWQ7Yas=", "dev": true }, @@ -4404,7 +4412,7 @@ }, "events": { "version": "1.1.1", - "resolved": "https://registry.npmjs.org/events/-/events-1.1.1.tgz", + "resolved": "http://registry.npmjs.org/events/-/events-1.1.1.tgz", "integrity": "sha1-nr23Y1rQmccNzEwqH1AEKI6L2SQ=", "dev": true }, @@ -5057,7 +5065,7 @@ }, "fs-extra": { "version": "1.0.0", - "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-1.0.0.tgz", + "resolved": "http://registry.npmjs.org/fs-extra/-/fs-extra-1.0.0.tgz", "integrity": "sha1-zTzl9+fLYUWIP8rjGR6Yd/hYeVA=", "dev": true, "requires": { @@ -5104,7 +5112,8 @@ "ansi-regex": { "version": "2.1.1", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "aproba": { "version": "1.2.0", @@ -5125,12 +5134,14 @@ "balanced-match": { "version": "1.0.0", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "brace-expansion": { "version": "1.1.11", "bundled": true, "dev": true, + "optional": true, "requires": { "balanced-match": "^1.0.0", "concat-map": "0.0.1" @@ -5145,17 +5156,20 @@ "code-point-at": { "version": "1.1.0", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "concat-map": { "version": "0.0.1", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "console-control-strings": { "version": "1.1.0", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "core-util-is": { "version": "1.0.2", @@ -5272,7 +5286,8 @@ "inherits": { "version": "2.0.3", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "ini": { "version": "1.3.5", @@ -5284,6 +5299,7 @@ "version": "1.0.0", "bundled": true, "dev": true, + "optional": true, "requires": { "number-is-nan": "^1.0.0" } @@ -5298,6 +5314,7 @@ "version": "3.0.4", "bundled": true, "dev": true, + "optional": true, "requires": { "brace-expansion": "^1.1.7" } @@ -5305,12 +5322,14 @@ "minimist": { "version": "0.0.8", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "minipass": { "version": "2.2.4", "bundled": true, "dev": true, + "optional": true, "requires": { "safe-buffer": "^5.1.1", "yallist": "^3.0.0" @@ -5329,6 +5348,7 @@ "version": "0.5.1", "bundled": true, "dev": true, + "optional": true, "requires": { "minimist": "0.0.8" } @@ -5409,7 +5429,8 @@ "number-is-nan": { "version": "1.0.1", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "object-assign": { "version": "4.1.1", @@ -5421,6 +5442,7 @@ "version": "1.4.0", "bundled": true, "dev": true, + "optional": true, "requires": { "wrappy": "1" } @@ -5506,7 +5528,8 @@ "safe-buffer": { "version": "5.1.1", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "safer-buffer": { "version": "2.1.2", @@ -5542,6 +5565,7 @@ "version": "1.0.2", "bundled": true, "dev": true, + "optional": true, "requires": { "code-point-at": "^1.0.0", "is-fullwidth-code-point": "^1.0.0", @@ -5561,6 +5585,7 @@ "version": "3.0.1", "bundled": true, "dev": true, + "optional": true, "requires": { "ansi-regex": "^2.0.0" } @@ -5604,12 +5629,14 @@ "wrappy": { "version": "1.0.2", "bundled": true, - "dev": true + "dev": true, + "optional": true }, "yallist": { "version": "3.0.2", "bundled": true, - "dev": true + "dev": true, + "optional": true } } }, @@ -5868,7 +5895,7 @@ "dependencies": { "pify": { "version": "2.3.0", - "resolved": "https://registry.npmjs.org/pify/-/pify-2.3.0.tgz", + "resolved": "http://registry.npmjs.org/pify/-/pify-2.3.0.tgz", "integrity": "sha1-7RQaasBDqEnqWISY59yosVMw6Qw=", "dev": true } @@ -5945,7 +5972,7 @@ }, "grunt-cli": { "version": "1.2.0", - "resolved": "https://registry.npmjs.org/grunt-cli/-/grunt-cli-1.2.0.tgz", + "resolved": "http://registry.npmjs.org/grunt-cli/-/grunt-cli-1.2.0.tgz", "integrity": "sha1-VisRnrsGndtGSs4oRVAb6Xs1tqg=", "dev": true, "requires": { @@ -5993,7 +6020,7 @@ "dependencies": { "shelljs": { "version": "0.5.3", - "resolved": 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-7857,7 +7884,7 @@ "dependencies": { "pify": { "version": "2.3.0", - "resolved": "https://registry.npmjs.org/pify/-/pify-2.3.0.tgz", + "resolved": "http://registry.npmjs.org/pify/-/pify-2.3.0.tgz", "integrity": "sha1-7RQaasBDqEnqWISY59yosVMw6Qw=", "dev": true } @@ -8221,7 +8248,7 @@ }, "media-typer": { "version": "0.3.0", - "resolved": "https://registry.npmjs.org/media-typer/-/media-typer-0.3.0.tgz", + "resolved": "http://registry.npmjs.org/media-typer/-/media-typer-0.3.0.tgz", "integrity": "sha1-hxDXrwqmJvj/+hzgAWhUUmMlV0g=", "dev": true }, @@ -8280,7 +8307,7 @@ }, "meow": { "version": "3.7.0", - "resolved": "https://registry.npmjs.org/meow/-/meow-3.7.0.tgz", + "resolved": "http://registry.npmjs.org/meow/-/meow-3.7.0.tgz", "integrity": "sha1-cstmi0JSKCkKu/qFaJJYcwioAfs=", "dev": true, "requires": { @@ -8501,7 +8528,7 @@ }, "mkdirp": { "version": "0.5.1", - "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-0.5.1.tgz", + "resolved": "http://registry.npmjs.org/mkdirp/-/mkdirp-0.5.1.tgz", "integrity": "sha1-MAV0OOrGz3+MR2fzhkjWaX11yQM=", "requires": { "minimist": "0.0.8" @@ -8542,7 +8569,7 @@ "dependencies": { "commander": { "version": "2.15.1", - "resolved": "https://registry.npmjs.org/commander/-/commander-2.15.1.tgz", + "resolved": "http://registry.npmjs.org/commander/-/commander-2.15.1.tgz", "integrity": "sha512-VlfT9F3V0v+jr4yxPc5gg9s62/fIVWsd2Bk2iD435um1NlGMYdVCq+MjcXnhYq2icNOizHr1kK+5TI6H0Hy0ag==", "dev": true, "optional": true @@ -8711,7 +8738,7 @@ }, "ncp": { "version": "1.0.1", - "resolved": "https://registry.npmjs.org/ncp/-/ncp-1.0.1.tgz", + "resolved": "http://registry.npmjs.org/ncp/-/ncp-1.0.1.tgz", "integrity": "sha1-0VNn5cuHQyuhF9K/gP30Wuz7QkY=", "dev": true }, @@ -8810,7 +8837,7 @@ "dependencies": { "semver": { "version": "5.3.0", - "resolved": "https://registry.npmjs.org/semver/-/semver-5.3.0.tgz", + "resolved": "http://registry.npmjs.org/semver/-/semver-5.3.0.tgz", "integrity": 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"sha1-7GphrlZIDAw8skHJVhjiCJL5Zyo=", "dev": true } @@ -10207,7 +10234,7 @@ }, "progress": { "version": "1.1.8", - "resolved": "https://registry.npmjs.org/progress/-/progress-1.1.8.tgz", + "resolved": "http://registry.npmjs.org/progress/-/progress-1.1.8.tgz", "integrity": "sha1-4mDHj2Fhzdmw5WzD4Khd4Xx6V74=" }, "promise-inflight": { @@ -10232,13 +10259,13 @@ "dependencies": { "async": { "version": "1.0.0", - "resolved": "https://registry.npmjs.org/async/-/async-1.0.0.tgz", + "resolved": "http://registry.npmjs.org/async/-/async-1.0.0.tgz", "integrity": "sha1-+PwEyjoTeErenhZBr5hXjPvWR6k=", "dev": true }, "winston": { "version": "2.1.1", - "resolved": "https://registry.npmjs.org/winston/-/winston-2.1.1.tgz", + "resolved": "http://registry.npmjs.org/winston/-/winston-2.1.1.tgz", "integrity": "sha1-PJNJ0ZYgf9G9/51LxD73JRDjoS4=", "dev": true, "requires": { @@ -10253,7 +10280,7 @@ "dependencies": { "colors": { "version": "1.0.3", - "resolved": 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"dev": true, "requires": { @@ -11359,7 +11386,7 @@ }, "shelljs": { "version": "0.3.0", - "resolved": "https://registry.npmjs.org/shelljs/-/shelljs-0.3.0.tgz", + "resolved": "http://registry.npmjs.org/shelljs/-/shelljs-0.3.0.tgz", "integrity": "sha1-NZbmMHp4FUT1kfN9phg2DzHbV7E=", "dev": true }, @@ -12080,7 +12107,7 @@ }, "strip-ansi": { "version": "3.0.1", - "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz", + "resolved": "http://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz", "integrity": "sha1-ajhfuIU9lS1f8F0Oiq+UJ43GPc8=", "requires": { "ansi-regex": "^2.0.0" @@ -12097,7 +12124,7 @@ }, "strip-eof": { "version": "1.0.0", - "resolved": "https://registry.npmjs.org/strip-eof/-/strip-eof-1.0.0.tgz", + "resolved": "http://registry.npmjs.org/strip-eof/-/strip-eof-1.0.0.tgz", "integrity": "sha1-u0P/VZim6wXYm1n80SnJgzE2Br8=", "dev": true }, @@ -12212,7 +12239,7 @@ }, "tar": { "version": "2.2.1", - "resolved": "https://registry.npmjs.org/tar/-/tar-2.2.1.tgz", + "resolved": "http://registry.npmjs.org/tar/-/tar-2.2.1.tgz", "integrity": "sha1-jk0qJWwOIYXGsYrWlK7JaLg8sdE=", "dev": true, "requires": { @@ -12370,7 +12397,7 @@ }, "through": { "version": "2.3.8", - "resolved": "https://registry.npmjs.org/through/-/through-2.3.8.tgz", + "resolved": "http://registry.npmjs.org/through/-/through-2.3.8.tgz", "integrity": "sha1-DdTJ/6q8NXlgsbckEV1+Doai4fU=", "dev": true }, @@ -13030,7 +13057,7 @@ "dependencies": { "async": { "version": "0.9.2", - "resolved": "https://registry.npmjs.org/async/-/async-0.9.2.tgz", + "resolved": "http://registry.npmjs.org/async/-/async-0.9.2.tgz", "integrity": "sha1-rqdNXmHB+JlhO/ZL2mbUx48v0X0=", "dev": true }, @@ -13056,7 +13083,7 @@ }, "valid-data-url": { "version": "0.1.6", - "resolved": "https://registry.npmjs.org/valid-data-url/-/valid-data-url-0.1.6.tgz", + "resolved": "http://registry.npmjs.org/valid-data-url/-/valid-data-url-0.1.6.tgz", "integrity": 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"resolved": "http://registry.npmjs.org/wrap-ansi/-/wrap-ansi-2.1.0.tgz", "integrity": "sha1-2Pw9KE3QV5T+hJc8rs3Rz4JP3YU=", "dev": true, "requires": { diff --git a/package.json b/package.json index e650b272..de288f1e 100644 --- a/package.json +++ b/package.json @@ -88,6 +88,7 @@ "bootstrap-material-design": "^4.1.1", "bson": "^4.0.1", "chi-squared": "^1.1.0", + "clippyjs": "0.0.3", "crypto-api": "^0.8.3", "crypto-js": "^3.1.9-1", "ctph.js": "0.0.5", diff --git a/src/web/SeasonalWaiter.mjs b/src/web/SeasonalWaiter.mjs index e6611a89..07c76a04 100755 --- a/src/web/SeasonalWaiter.mjs +++ b/src/web/SeasonalWaiter.mjs @@ -4,6 +4,8 @@ * @license Apache-2.0 */ +import clippy from "clippyjs"; + /** * Waiter to handle seasonal events and easter eggs. */ @@ -18,6 +20,8 @@ class SeasonalWaiter { constructor(app, manager) { this.app = app; this.manager = manager; + + this.clippyAgent = null; } @@ -28,6 +32,13 @@ class SeasonalWaiter { // Konami code this.kkeys = []; window.addEventListener("keydown", this.konamiCodeListener.bind(this)); + + // Clippy + const now = new Date(); + //if (now.getMonth() === 3 && now.getDate() === 1) { + if (now.getMonth() === 2 && now.getDate() === 22) { + this.setupClippy(); + } } @@ -51,6 +62,126 @@ class SeasonalWaiter { } } + /** + * Sets up Clippy on April Fools Day + */ + setupClippy() { + //const clippyAssets = "./agents/"; + const clippyAssets = undefined; + + const self = this; + clippy.load("Clippy", (agent) => { + window.agent = agent; + shimClippy(agent); + self.clippyAgent = agent; + + agent.show(); + //agent.animate(); + agent.speak("Hello, I'm Clippy, your personal cyber assistant!", true); + }, undefined, clippyAssets); + + // Watch for the Auto Magic button appearing + const magic = document.getElementById("magic"); + const observer = new MutationObserver((mutationsList, observer) => { + let msg, recipe; + for (const mutation of mutationsList) { + if (mutation.attributeName === "data-original-title") { + msg = magic.getAttribute("data-original-title"); + } + if (mutation.attributeName === "data-recipe") { + recipe = magic.getAttribute("data-recipe"); + } + } + + // Cancel current animation and hide balloon (after it has finished) + self.clippyAgent._queue.clear(); + self.clippyAgent._queue.next(); + self.clippyAgent.stopCurrent(); + self.clippyAgent._balloon._hold = false; + self.clippyAgent._balloon.hide(); + + if (recipe) { + recipe = this.manager.controls.generateStateUrl(true, true, JSON.parse(recipe)); + msg = `That looks like encoded data!

${msg}

Click here to load this recipe.`; + + // Stop balloon activity immediately and trigger speak again + self.clippyAgent._balloon.pause(); + delete self.clippyAgent._balloon._addWord; + self.clippyAgent._balloon._active = false; + self.clippyAgent._balloon.hide(true); + self.clippyAgent.speak(msg, true); + } + }); + observer.observe(document.getElementById("magic"), { + attributes: true + }); + } + +} + +/** + * Shims various ClippyJS functions to modify behaviour. + * + * @param {Agent} agent - The Clippy Agent + */ +function shimClippy(agent) { + // Turn off all sounds + agent._animator._playSound = () => {}; + + // Improve speak function + const self = agent._balloon; + agent._balloon.speak = (complete, text, hold) => { + self._hidden = false; + self.show(); + const c = self._content; + // set height to auto + c.height("auto"); + c.width("auto"); + // add the text + c.html(text); + // set height + c.height(c.height()); + c.width(c.width()); + c.text(""); + self.reposition(); + + self._complete = complete; + self._sayWords(text, hold, complete); + }; + + // Improve the _sayWords function to allow HTML + agent._balloon.WORD_SPEAK_TIME = 100; + agent._balloon._sayWords = (text, hold, complete) => { + self._active = true; + self._hold = hold; + const words = text.split(/[^\S-]/); + const time = self.WORD_SPEAK_TIME; + const el = self._content; + let idx = 1; + + self._addWord = $.proxy(function () { + if (!self._active) return; + if (idx > words.length) { + delete self._addWord; + self._active = false; + if (!self._hold) { + complete(); + self.hide(); + } + } else { + el.html(words.slice(0, idx).join(" ")); + idx++; + self._loop = window.setTimeout($.proxy(self._addWord, self), time); + } + }, self); + + self._addWord(); + }; + + // Close the balloon on click + agent._balloon._balloon.click(e => { + agent._balloon._finishHideBalloon(); + }); } export default SeasonalWaiter; diff --git a/src/web/static/clippy_assets/agents/Bonzi/agent.js b/src/web/static/clippy_assets/agents/Bonzi/agent.js new file mode 100755 index 00000000..67f3ed7f --- /dev/null +++ b/src/web/static/clippy_assets/agents/Bonzi/agent.js @@ -0,0 +1 @@ +clippy.ready('Bonzi', {"overlayCount": 2, "sounds": ["1", "2", "3", "4", "5", "6", "7"], "framesize": [200, 160], "animations": {"MoveLeft": {"frames": [{"duration": 100, "images": [[0, 0]]}, {"duration": 100, "images": [[200, 0]]}, {"duration": 100, "images": [[400, 0]]}, {"duration": 100, "images": [[600, 0]]}, {"duration": 100, "images": [[800, 0]]}, {"duration": 100, "images": [[1000, 0]], "sound": "3"}, {"duration": 100, "images": [[1200, 0]]}, {"duration": 100, "images": [[1400, 0]]}, {"duration": 100, "images": [[1600, 0]]}, {"duration": 100, "images": [[1800, 0]]}]}, "Congratulate": {"frames": [{"duration": 100, "images": [[0, 0]], "exitBranch": 12}, {"duration": 100, "images": [[2000, 0]], "exitBranch": 0}, {"duration": 100, "images": [[2200, 0]], "exitBranch": 1}, {"duration": 100, "images": [[2400, 0]], "exitBranch": 2}, {"duration": 100, "images": [[2600, 0]], "exitBranch": 3, "sound": "6"}, {"duration": 100, "images": [[2800, 0]]}, {"duration": 100, "images": [[2600, 0]]}, {"duration": 100, "images": [[2800, 0]]}, {"duration": 100, "images": [[2600, 0]]}, {"duration": 100, "images": [[3000, 0]]}, {"duration": 100, "images": [[2600, 0]]}, {"duration": 100, "images": [[3000, 0]], "exitBranch": 4}, {"duration": 0}]}, "Hide": {"frames": [{"duration": 100, "images": [[0, 0]]}, {"duration": 100, "images": [[3200, 0]]}, {"duration": 100, "images": [[0, 160]]}, {"duration": 100, "images": [[200, 160]]}, {"duration": 100, "images": [[400, 160]]}, {"duration": 100, "images": [[600, 160]]}, {"duration": 100, "images": [[800, 160]]}, {"duration": 100, "images": [[1000, 160]]}, {"duration": 100, "images": [[1200, 160]], "sound": "1"}, {"duration": 100, "images": [[1400, 160]]}, {"duration": 100, "images": [[1600, 160]]}, {"duration": 100, "images": [[1800, 160]]}, {"duration": 100, 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b/src/web/static/clippy_assets/agents/Bonzi/sounds-mp3.js new file mode 100755 index 00000000..c05fc798 --- /dev/null +++ b/src/web/static/clippy_assets/agents/Bonzi/sounds-mp3.js @@ -0,0 +1 @@ +clippy.soundsReady('Bonzi', 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','3':'data:audio/mpeg;base64,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\ No newline at end of file diff --git a/src/web/static/clippy_assets/agents/Bonzi/sounds-ogg.js b/src/web/static/clippy_assets/agents/Bonzi/sounds-ogg.js new file mode 100755 index 00000000..e6fde208 --- /dev/null +++ b/src/web/static/clippy_assets/agents/Bonzi/sounds-ogg.js @@ -0,0 +1 @@ +clippy.soundsReady('Bonzi', 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','3':'data:audio/ogg;base64,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sfTAoqS9jzSVTQQA++CqUhTbT6YxwvykCAEgmDE4e91+/Eql+WOUbSY1FKUvxkaXdd3vlrrSiDauL9vPCJXIN5V9M6Te98M3z6K7LkF4CJdqj57rjewH4kW3MnbBwY/9vEJyyk4+WOnB/G/mQR+N/wQoybSN7MfKlhOZpF0IzS3gaHsiKwol2EEF0vykAANUKk5LuOjDyGeh0G7Mb9VSZOk6H25oAInYXBQkxLeKgjI9jFDLoxcDd/y23WNIZTBZYTFjGQEz/hzvePAMASWqH025V71rRxiVL0Sqv0AzwFdrDz3FHyrT3+Vxpi/q2/DwtFOS6sMoDPtjiwiKqBMCumwIAUCvKydYjnQ3VevWqidiO562WQT9zuo9aV/F+iObT8w7SU4OwfchY2CGq+6KwJZFme2IMj9A0Ctkx1MJrsGV9XgTTl6iLod+x3uikFGERMz6Q3rw2RZMq46JgIIoTUKAB9tdCREPRFwD34QEA6MAOgOPhElpa6WNu0z3QDGdi5g7CfnTJNi3TCvIac9oc05rfw7uhk6OEzwXq6SCLzCSDyEnn7mQVSnVcmfhOU879XZczBe+r66UnujzvwxYGXyVXtvOKQ703rZCseVOzvHAGGxZqDxOIGx5YaZsHawcML+amfZsgAUDC4J0vrYGKOBgbK2c48o13gNA/CraqZE0bbE/TeOiTAlMJpPenqWHoEG7cDSSbMVtlsXWrRtmO4gEMQYoCfkMAAnCrQNm5y+cid1Avj6oOI6mEAxnkF37S635O7bfS7V6NWzKTsPwWj9dx9bKlB8ci+XyLhnOJdvZoj7fCbak7Kjydd7UhQij9CSku9Hcbv55/0bqwyY/WRbgWh9dkWy1gdwUswAK452+Xz43Qskk+fD3dfbiZ7rmfnHJpMB1ml3DbaDkSTo+Sh1OXVpJ9x/jt7SEWZo7c2i4fNilragurt1GZA+d9yZNKRzz97+Pu1PMxbtJQGd+0INj4HI+R7M1f6c0mngwMxVZEed8GAMACTIAFkKX13G+5EPO2TdwbF6I+vCulLXmwaz1VGtGGw3+s/fagVTExyHZDVWValW5aCXF1nRz6aBQoD98dDru4x69bCsEyvMgFvnAF0+PDVw91UQ+IPlrOT2Ti0lUEZiT6N9xmIFCvFYR31QAA2pbWhLzgygMA4DML9Ij0rqqnaU9d9/UWrWr5XXY1DJuF2/dnyWqRVlR67PsXFOWjniUet3sKEEHwpOd3p8AHCA0XpdWWcXcgqAS6lqfMqUf8/KuDccp02+SJFdQilY/wEYtqQ5mmqdd60Era+jodvmARk/J3zWc768paPP7X23Ya0cQE2D88gAXCM3hCtVgZGHrr2qy/6Va/FRl1GAwrpBDkRzEv1bPWmV05EuOmBt+z9dKNLRTLlT+mRhr0VcmsN6f23uZ+6doq3cmN7F5iYSEt8ShJyrZofRbUVArkAqj5/fP71KF+0/DqjIsWwznr3KgX48brfaABPoibGAutHwdgvwkASIoJHq7qdnyF6grtghysntV8aya7C6dO9g0ZOIs5R542BxZlQqDRULdcRnjGXK4CDlWIzzO8q9eWfHe91rr0/OEdW5Bbsga2W9ETp0orAVYETwZoYGAxNfWZsmUKVlZ7hk7jjiH1AEAAHjibOpsq9BkE95sCAFAMZ6vqrtqn5o6FhcbweqEautJTX3JCMUe0tIq4RGqcD8PppPHshzQg+hpdzmf2Sjl9erRfYHtR4wcKZ1K/++RizX8GSEBqU7jBZjE/COAqONicZtTNOp7Tj5AuZnCSy/IhAHAFHgirgy2aPmbAflMAAOozc5raCYw8RIvuARvUW7aFKBDyvVi07TSGu56oB3rHn8UYlsbxsclNzfS1Oh69nvj0VSZkDD7UT941JjETymdlGlq2Cvx+hgve813H9UEWazun3FL2cBkrmuQzB9mD60eNaIvSAR7YKoyToBNBcP/wAAAqrVklq3vW64Uh9l5lrdKtj7miF5/CtWUzRQBlZv0pUiikh/q0Z0bWm2aCBeK/LQeUJimSTfBA/iYGLdplc1h29dy6fHau65GbezIdYyGqJSDWBFG8s2eqys+90B5pRY9suAmgAPbXkswwTc/aKuwfngAA2nYrk63TFQVjuGNC8cQcn+nCtp00EmQGFI4UvOTuydfqL7nb4r9HJwqKfMiRF/p5t0XU9cgOKQXCAN/XC5vJQGNLNXHJj3H122/tgPHQojXh+175iuIhD0AtSp/Op6fmGtsgY5NTNoBEFvQuKBraHQAAUWVCA1TgHystaqwki6Pi8ynGdWoUHcZPK9TtxNQ7o8TkP45y0zA7yP76+IJrB6A7Jd4iTrbxKtmITlkssjh6qYoANFPExBsAQK314lh/r936IunknA4GIyN7QicvrO1Di5YHg8/2iQYGYB4/XB1bNqtZZmGVeGq93I1xYHScef7pqbGZPVy93k99YhXUauNxAXCcW8f58fnz+cy2/sUKoLifOWxf7cm3AABNFmAAWCbdHeho+Fk6eA28adp/punRiem8GR30t62xbAcd2yx5CafB3Db6cGX/382jTTjvnqxhabsJxjWVblKEm+4RlhBLRwCwrIn8LjhWa77P25X7k8e1rdD08yb/uI4PH5+U7Qs0xxFjaC7RARZNB2ACfByPcVTbl2z2e/hy20+O80hC6PBhrG/RTEpuNacnU3HCm+AoS/cdBuuaHPju0KwXTx/Mc9NBS/bo4+rUBAJAVGj31Wq1WlsLdRDNh9dO6gohMRUGMaH78g26ONx2RILjWkHqG4EOsJKwky61XDTe4HIYE+bQvL3/4V3jZ+mExLlvjt9L/WjeDecotfoaK6/H2nMU0M63MFGLD5wL8M2tdd08CgQ0qYf7FhV7ai2gjU2YXcfMEadB6XSbVGSGB/TKBw+c2BkgtNxu1o4jNIahZa2cfRlyyrMQBQIAfsg7SCxVXeaJSfQKQJFZbVev3jjJ8aGxtyakbYaX+wnSq94mJzYpYtFj5fzWB75U3Wq26G16seF1O7s8UFBFlvyQZFRK1XX7BJ8b60XwaJkibCobgsyqm5JQJQLROhwEdndw0mtPTSOsxzgdF9f20QCvAD5o2wqarq7TxCS63wAwDKoVq62qAnSEG52ezd2bE+33WHm9Q162g3DPnIyZ3Nhz+YK9J6WuLulamhPJKXIr27EgaGSqT0jrM2j9oxoDLbTozGskXJIPwLq44KvCYlFb95VeFiTGSC3x20zLmtKLdsxHAX1r/1fSNtAWHig7lDhV8MIEgvtNAACSCTFVXczXgRZ/cEz7FI/HvMzLNo+0DRbqqjfGLu7JT72WhbD59s5KFryar74atBmpqCHIs73TjfswT4M+udugpDX4pMRaGmAxeTGT1AHwgc0PWfsRnoj5tghl1cWV1y4iQMl8dP7nWg2GquapgvB+UwQAkHTBXMJd1vd6bD3SXshToaMJdnMIUYzFQz0kdqzOZoYxbMDbsh6FO+UDiXCa7wovn2KDj5GKeEc+rJFz4vQ3tSrkll2NHhdeezVpHSksHNmjOFr2Gv8RT197cluvwSN51QzBYQf+t+oZQ0+uVBDdVQMAqNXbtjxKAADrpq9PkjT3Tbh4vCNI+hMvf5XMuz5JRLKZBfvUHCwUAnVD3saM3pyf+9zxre1elz0cNjo2neiQALo5Rc1kluK6/Iw/GOyGRp/nNwC4r8rsvOjAU+DPisIsSGSlnVbr7w3vV7YVFl7hANbXqoJCMB0dsKsBAABWbCZJCQAgcdB+VnIraKW/Bm7K9JeVawiSntTwonoMrzLaJDLHE3RN0kS/g6nPU9ZuUoHMQ3hIABseEmKV5wJCXiWnzTRnU8ETK7UfHwbk6ltr+5QnA60Mi5QMCusNYxqaeZu9mj5po8BmLwcMLV7K6m0CAEBqdcc3cvy7d56+0DxUsuiNGxb6vPmyb8K8SuC7fXMW4GI/xBEbNMTV43Ry0DlxSRe+94bDO5daj2idcuUATFFE4AYAoFzdrfatPXv2jNXZudUWi3OtwZ6xYGTP7V/cuWdfyHfG5JZUXO34KdX+99zNOo8Dw/H5krNhNo/HY8qPz7HaeFzv//8fobQDpCgOqlif35z6lzakvh0hVhxcV8RgF6BplAdfWKfp8OEzj1t7l59YxuXw71Wvx3yn/J9KX/sSUtqSJzAD+wWpw8OQq+pEjyF05QCjolM0rcmFjtOpAH1c5Ymc1fnkkOu8rH/gzXdaHIQ8Rbpy5x06aDzMOB10ELwLwAACWGnNOXncxYYab0qlatvvbcVLZ3Q4XB9uTw93mRioOfU05SnIUzz4MX8UeVw+hZYHvH+cWL45T1NLLKGPmzWBjDGWknVjkELgd5jFTq+mUww7gh6Lm8rJ0ropNeswxdFKoh3yi2WJx1vmCtuEsT+5NIDHZHH4Av4nPGRkOEAHW7DfFIANoK5etkiWY3oWv7Jc0aK/cy9y3GXpc4YqbNG0K7gSoVXgobp5oRXdWaDi7WJ8iZyU1GJj9kyfOVHnc/vGIEqyNsg4nrJptH8JT8DcM1ytUOzNWhlrZiFOKTB+YkjfhRUdalvnFCN0N7bSNg4iHdoBPqhbdRrRRAfh/SYAANWEbSuNjU6d2PXSbHP4QbVbFY6XFc3FC5rwPO06kepMtslHNBEJxj5ZHz/Zv4K6zuzfK+hTCJ6bz1wbmFUWwn2BO9xBeEVhzE3NK0B7ByZlDdE1syE/wvW9dsWYK7fz/jVtF48zfE+pU4r7JQFPZ2dTAARgWQAAAAAAAFkk8TADAAAA21xh6w91dXd3bXNwbmxvbV5jXRseiJsqmxlUsIS9pgiAtUu1yJ2qblc/EqR39cg96Z5/3M91j5XvoVAa6mNDwuDUWe/lyMiKHHuJvJJQnYDQU0fLJ3HoCJfQzte9GkVffT6HhaGXpqyLosaerl/JQ2mJxyMDKDC38O6QXBTJJ7jmEk1v2ROAgQb+F5sGm2hiBuyqAQAkbdmqugQAcLPYfYnkSGeTltlS45n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b/src/web/static/clippy_assets/agents/Clippy/sounds-mp3.js @@ -0,0 +1 @@ +clippy.soundsReady('Clippy', 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\ No newline at end of file diff --git a/src/web/static/clippy_assets/agents/Clippy/sounds-ogg.js b/src/web/static/clippy_assets/agents/Clippy/sounds-ogg.js new file mode 100755 index 00000000..fd465e4c --- /dev/null +++ b/src/web/static/clippy_assets/agents/Clippy/sounds-ogg.js @@ -0,0 +1 @@ +clippy.soundsReady('Clippy', 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\ No newline at end of file diff --git a/src/web/static/clippy_assets/agents/F1/sounds-ogg.js b/src/web/static/clippy_assets/agents/F1/sounds-ogg.js new file mode 100755 index 00000000..0cb7264f --- /dev/null +++ b/src/web/static/clippy_assets/agents/F1/sounds-ogg.js @@ -0,0 +1 @@ +clippy.soundsReady('F1', 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\ No newline at end of file diff --git a/src/web/static/clippy_assets/agents/Merlin/sounds-ogg.js b/src/web/static/clippy_assets/agents/Merlin/sounds-ogg.js new file mode 100755 index 00000000..33159b5c --- /dev/null +++ b/src/web/static/clippy_assets/agents/Merlin/sounds-ogg.js @@ -0,0 +1 @@ +clippy.soundsReady('Merlin', 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','16':'data:audio/ogg;base64,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QAAGAMY4xBaBRyzDkpjVLOOSclcw5CCCllzkEIIaXOOQiltNQ5B6GUlEIpKaUUWyglpdZaLAAAoMABACDABk2JxQEKDVkJAEQBACDGKMUYhMYgpRiD0BijFGMQKqUYcw5CpRRjzkHIGHPOQSkZY85BJyWEEEIppYQQQiillAIAAAocAAACbNCUWByg0JAVAUAUAABgDGIMMYYgdFI6KRGETEonpZESWgspZZZKiiXGzFqJrcTYSAmthdYyayXG0mJGrcRYYioAAOzAAQDswEIoNGQlAJAHAEAYoxRjzjlnEGLMOQghNAgx5hyEECrGnHMOQggVY845ByGEzjnnIIQQQueccxBCCKGDEEIIpZTSQQghhFJK6SCEEEIppXQQQgihlFIKAAAqcAAACLBRZHOCkaBCQ1YCAHkAAIAxSjknJaVGKcYgpBRboxRjEFJqrWIMQkqtxVgxBiGl1mLsIKTUWoy1dhBSai3GWkNKrcVYa84hpdZirDXX1FqMtebce2otxlpzzrkAANwFBwCwAxtFNicYCSo0ZCUAkAcAQCCkFGOMOYeUYowx55xDSjHGmHPOKcYYc8455xRjjDnnnHOMMeecc845xphzzjnnnHPOOeegg5A555xz0EHonHPOOQghdM455xyEEAoAACpwAAAIsFFkc4KRoEJDVgIA4QAAgDGUUkoppZRSSqijlFJKKaWUUgIhpZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoplVJKKaWUUkoppZRSSimlACDfCgcA/wcbZ1hJOiscDS40ZCUAEA4AABjDGISMOSclpYYxCKV0TkpJJTWMQSilcxJSSimD0FpqpaTSUkoZhJRiCyGVlFoKpbRWaymptZRSKCnFGktKqaXWMuckpJJaS622mDkHpaTWWmqtxRBCSrG11lJrsXVSUkmttdZabS2klFprLcbWYmwlpZZaa6nF1lpMqbUWW0stxtZiS63F2GKLMcYaCwDgbnAAgEiwcYaVpLPC0eBCQ1YCACEBAAQySjnnnIMQQgghUoox56CDEEIIIURKMeacgxBCCCGEjDHnIIQQQgihlJAx5hyEEEIIIYRSOucghFBKCaWUUkrnHIQQQgillFJKCSGEEEIopZRSSikhhBBKKaWUUkopJYQQQiillFJKKaWEEEIopZRSSimllBBCKKWUUkoppZQSQgihlFJKKaWUUkIIpZRSSimllFJKKCGEUkoppZRSSgkllFJKKaWUUkopIZRSSimllFJKKaUAAIADBwCAACPoJKPKImw04cIDEAAAAAIAAkwAgQGCglEIAoQRCAAAAAAACAD4AABICoCIiGjmDA4QEhQWGBocHiAiJAAAAAAAAAAAAAAAAARPZ2dTAAQEKQAAAAAAAJ6wuRgCAAAAGt6nmStXXV1fVmJaWlxYVllVAQEBUVZcY2JnYl1lYWprXGFiZ2NfX2RiWVpbXFgoeh2W8CNAswcA1ApDc5GNs3Xf+KdF9XNnO1Hr7WK9O5y8HoWwvNw0CEOx2HL8D28fH4fWmdns9vZ2ZrSpjRMIlm3P8YwYMUqEDUNHeNVXve/hhKrg+GoAhqMdthpceg4CC9OPVz/N2jjf3tUX34/Xkon88+3f09wm12avolHZ2HbSb3PpwErFSjs5xiWie8+6ch/z/Fo4/isfxwGIsxcfdo9del3/NvY1WNSHS0Natpj6iHmVomeIMV/nwEGg9r/Yl+lPm7mndz35Y9OsQPT7vekuZ28tSKnSffxhT7gmR9FYrxELzEcp594hL7dPow/eRyLTqnzkb19y8Si9crQ80nkHpyZXU2u6KfUXfh1H/PYlpuVslWMbp0s4CPx41iPnB7+fuOHmj4d+9k9KGVHFV/09TAQBYDgL1/e/3jUjAOt3ZY97ZNd1exsyjKFbxw74LM8WD2uqN4pBZNE3yKgYtB+OP6LMBig798PhcHhrEQCapbnCLNio0dnjwJf5n5PI+PNwZP81Myj+wFYzShB/3FSo7E2RceVEpRW6YijGkz+Ivslidteuzb+DS2hHd0Ndvw3KbipxajpRoPyzVMcf/ddB6TQDO4riQFXrwG1UilED+Fft9vrE+Z7m5ycPpPviSMK1BjPooAzTGHfvRP14cqTzMil3WRQesmr354ImrYCmus0FRcfmljTfQ2KMq+rmgozL26fHghebZVbS4DRpy3xPVYMkEpAAjqB+PwsAcwQoUamNeV2dnvV8pyfpTww3zy/dvEx3zN4mXmi5qLh82RMtEbepMtOK6u2vD5TOa7OtaCo4lxWmsltzg/NzaSq9v1FI7HZfoRk6P1p3YHr2vZsBht0yOV8AYBvG28RjsJey++Xmn2SzHDnVoxpdKuROpx77bnkt/b2H+o5ylAA4kBUiOPU5rDAMwymwHPzlzVMqfxPNW9O3eCG4BDurRxFhyzr2pOfKiHrjZZgBfuBytXzZFQEcAM/oN3sbdt2gIJ5TjsEsjgr6K6qIVRNZim25PBql4TWMexpv1N2wchSxa7XM2PXpKnF2u4fp7REa7c7VnBKi0Kt1J6n/dP2Ycu3DAMyTmWR9zj963foRsysAAAXcqCgMNy/VMn4q7VXGtVOKKajRFWNIen56fsysPeUt2DOBxNJIoRBWryfR1ktr76G37Y8ku/bdxtBBQ7Lv16STfvQogGVPPj9tBvz2hzsBetijLphdEQBADgLF0rn3UZd3qB8aH+JgcTRKNowdcyl7kwy9nQfy/mTq9q1p5Bj0hXzmiwgXs+1pj1/Hp41rYIow1Oummq3ekRNCbG5z4UfXw9NpWQV+VSL3WgOEAL6lN9q9nNjy8sN86wzSGp6azF7jNrSc/6SUiw7rN7cwL1FYwz9hiMmgr6sLEgJfcfdVim0Ja+FXsNCpWgdUtdXHtBWP00/1juZzFuOPyyDVDHJJ4pc0MIbiy7x1DlaG5r9fHDbXvAVQzt7vyT7KREbrf0WV7bP4PY/1cSY8msZvWOMnLq+7MH+avxyYHJfGb3h1ivjl4gQ1rLlTqpPB7xyWz18D5wAAAABy1FqLFcCDr9r96rRXNNG993hwDBjRRZ7oIfwY4vdDNMy8fBOth3gyAgAUve6fw72bMcavbMnYo8yvR0uh5OXgl21UD1F0XmVduen8xh5dBwBuWoLWGu0AYDJsnyADQFd9JHny0dx97RBqvejfe2O13lzq7B0k+vzIm+tXWL584DWTRggAhH3j73WfCAFaW0GhlLGXDHlPEmc7/Aq0gX+QDZ1ZG//ZCG5ffNAalhGwADxmABSGq2CIpoZsPl5J23fr2WaLiV3L8uVrl81q61FClInLx0eRqAolQNt5O922dVTGKjcicXsM/TAl1tY0qO1vZ8/bMvjek5IODzT68ER8q8MDdifad/wFWI8K9twItQIyG6vARnJNTz4f/Hd1SWu/wigZx3zTr47Ns3bnQnf908WdL9uvXFOZRI4JlfIEt15N/7yvl0Ioijo3+ojKYlbQP+M2901DLmT5F6rnrVCvl3fl3LQccmhD2IdRg2uAAShAZNzNS+WNY7++xxuTy7j9eZ8+xUsbHqqUgLbmo/0vHjiWV70hdOrxyqtpQzJHcclVslgBSO/mYEli8coFWpk0z96HMxZL3zxLkkNOh5fs+Gh+9x1fFWB+JYNJM8SCC80tX0IigH5GZWAZme7bj3+8FozxK1+mKdOTee3Qz/eXj13MxcqC1i6Rd4rjB2MvRVc4e6h+3QtVc3QiNkZ1Z7/MhoPcbcOcfex0tT+XJ6X5qreW8/0iw48c3RVmlx4FfmIy0MB6B1g6Qjb2dYAJNuC/uKWjuw9+mXZvevjv915KtxPL1YiFGuO766/3U5/If4/cu64jaa0ABXVn8qGNLW1V5U1XbXCnhSEPqXeuUTNu6e2hyKcQ4uTbfMashKvRnnZ65AVBg2UnmCBLcAPxd332Ts8w1dbq1yu63q1urajVv/9sXZW5WlJdSip66zzOzy/MQauQU4nBClq7fP4f3Y69k52Sd/Sb4RxTqbpHH0TNIiVUmSm1tIafnXjfhwB6q6qVgSrsagkJQj/XDODYwLLWh93UjR+rMOvBfx5MjkqzLkbNfv/+gQrJ7G3uN1N+Y+Xva9Wli9qiGKAI0pRqwz//HzNa2YNWWMJjReZLpclRr5jvKdA7RApbu/3hTlzV6r7GDoJqQ0rDiBpKAokAvgbg5HbaOP/++vBBqqRKN9SfjddiuQR3tFqpJveern+sceX5GA9RPOKSO2j/9xOp4yRUzfNoPbjbeGrsQtlucMea4VXMaNZLUYExsV3TRYrDQ7rZDwGGaaSt8dumAyhgg0QDWGc2j2cAEM6GWF/rLdtw1j2U3li12dbOXISIu0oj52QnTipXE/f+X5/UJWuyQ7LWkrKWnLyy6vPvzW7CM6+HSijY4Ji1tZJOcQZalwhSTGu8Y1fUUCaDAd7C3nY1gqY0r7VAdVzLMAIY4G+ZFZDBIgnPfHRkfLD17PDOP6lX+5h2y0H/Sw+0isFNdUE95IpBWgvSmufPW5/dOvbTMvp0LHSjqxlG6LNXf0+d3lpyzGHVWciB1ZG2oris+VD7OSHg/TahJDJwHlGCZRLcwJIWgH0dYw0JGCY/2j6cOmlOlOXQQ7NkanfptiBZw8T830OftkbGy/23Qw+Pq7IIcUxsldXMcAQUAOV2E/fIoG1LYXonNJhQ1j0PRe8Pmdl6+kZujXS7N3ZoUtXWsO06QI0S3qYBGebmhLemw37K2dWHHviid1JyjYz5qv/dQ1tOlvkrX/+3MeqzzHg4oSGimdJyR/7rd2eWZbTESmiZJdsYAo96wjl4mGdDyRc5+IH3a5rokuaNuAN6q6qV4RtYD0O6pSOABw3ApQevpO0ZLu2O/rtmszNOKoucTnXuX4znY/XunJ5fXfvv+Y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','20':'data:audio/ogg;base64,T2dnUwACAAAAAAAAAABezkUTAAAAAI5cKgEBHgF2b3JiaXMAAAAAAUAfAAAAAAAAgFcAAAAAAACZAU9nZ1MAAAAAAAAAAAAAXs5FEwEAAADGCyS3C0n///////////+1A3ZvcmJpcx0AAA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\ No newline at end of file diff --git a/src/web/static/clippy_assets/agents/Peedy/sounds-ogg.js b/src/web/static/clippy_assets/agents/Peedy/sounds-ogg.js new file mode 100755 index 00000000..1f48fbcf --- /dev/null +++ b/src/web/static/clippy_assets/agents/Peedy/sounds-ogg.js @@ -0,0 +1 @@ +clippy.soundsReady('Peedy', 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','8':'data:audio/ogg;base64,T2dnUwACAAAAAAAAAAAp/fI+AAAAAAuEy0sBHgF2b3JiaXMAAAAAASJWAAAAAAAAHp0AAAAAAACpAU9nZ1MAAAAAAAAAAAAAKf3yPgEAAACliZ//Dkn////////////////FA3ZvcmJpcx0AA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','11':'data:audio/ogg;base64,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','12':'data:audio/ogg;base64,T2dnUwACAAAAAAAAAAC4nRlLAAAAAPuGPM4BHgF2b3JiaXMAAAAAASJWAAAAAAAAHp0AAAAAAACpAU9nZ1MAAAAAAAAAAAAAuJ0ZSwEAAAAy2rMmDkn////////////////FA3ZvcmJpcx0AAABYaXBoLk9yZyBsaWJWb3JiaXMgSSAyMDA5MDcwOQEAAAAYAAAAQ29tbWVudD1Qcm9jZXNzZWQgYnkgU29YAQV2b3JiaXMiQkNWAQBAAAAYQhAqBa1jjjrIFSGMGaKgQsopxx1C0CGjJEOIOsY1xxhjR7lkikLJgdCQVQAAQAAApBxXUHJJLeecc6MYV8xx6CDnnHPlIGfMcQkl55xzjjnnknKOMeecc6MYVw5yKS3nnHOBFEeKcacY55xzpBxHinGoGOecc20xt5JyzjnnnHPmII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OimllFJKKaWUyjkppZNSSimlRM5JKSGUUkoppYRSSimllFJKKaWUUkoppZRSSimlhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEAgC4GxwAIBJsnGEl6axwNLjQkJUAQEgAAKAUc45KCCmUkFKomKKOQikppFJKChFjzknqHIVQUiipg8o5CKWklEIqIXXOQQclhZBSCSGVjjroKJRQUiollNI5KKWEFEpKKZWQQkipdJRSKCWVlEIqIZVSSkgllRBKCp2kVEoKqaRUUgiddJBCJyWkkkoKqZOUUiolpZRKSiV0UkIqKaUQQkqplBBKSCmlTlJJqaQUQighhZRSSiWlkkpKIZVUQgmlpJRSKKGkVFJKKaWSUikAAODAAQAgwAg6yaiyCBtNuPAAFBqyEgAgAwBAlHTWaadJIggxRZknDSnGILWkLMMQU5KJ8RRjjDkoRkMOMeSUGBdKCKGDYjwmlUPKUFG5t9Q5BcUWY3zvsRcBAAAIAgAEhAQAGCAomAEABgcIIwcCHQEEDm0AgIEImQkMCqHBQSYAPEBESAUAiQmK0oUuCCGCdBFk8cCFEzeeuOGEDm0QAAAAAAAQAPABAJBQABER0cxVWFxgZGhscHR4fICEBAAAAAAACAB8AAAkIkBERDRzFRYXGBkaGxwdHh8gIQEAAAAAAAAAAEBAQAAAAAAAIAAAAEBAT2dnUwAAgDYAAAAAAADPULMhAgAAAKiXBrgjZ2pwbGtrZEVta2dtbmyKe4R0gnyJinaAhYmHhIJ7h3+AgH30xnmTaXUBEuC2ATAByjuEyysXOGs1fv9fe6tZ1tJFHCvYmVf76f2vBD4iuBDkf4dGL3+6R9jKVzbWfYt+0c+SSzsm0vEmQoMGZ/3LUgbHkY48cqZWYoqvA/tBMvzp6jW9jw7YXHEA9MgTIKPBD1QAkGBBsZdAc6hbK+gwrEW3VWesoG6SZEoSgxGMOjlj5/b7h4z7OVrHJy80h1kWXyfE8XCZ4k3cij6dRe6IcC3nzitVJ5U7eQmUXKC9ImQM0Og3Md/t82LbJxn5vkMnJmpUOgRLxuIgLgAB6jcAdwCAAaS1PjT37Wt7GreHLYtbwrY+9T2bKNmYpo9x7/vTN5PoyLQf7we7jTFSbo79Hc4yHYxfGTnn1thLe5ez1BrfLWf7JMfoo4f22aOlq81Y9gLPvF077frb5lzy1Mz+8OfQ3PAEScbD0boAAH7bEzAWoPk4MggdXF7WvKbd7CcNBisEbgZCqQ9GEub9J/3T6QEL7fXQqMb9bGclGFlqNYORQboVRxJ2YJZ0X3dWy7v+bm1nz7/48Yw4c2/TdrTXKAmAXA5HiksrcB8IArdPAgEMRzbLaV0AArDtAuy3AzTr26bDS33Xla1hpLHnJjWnc7MwnD7L2Z7ESv7MNiq9Km5bUvUbSj4wrk0F6QjDY9oVj2/A9jTH9ToNVpHuVzkkWBI2OvA0rzzk1b7vt6H6M2y6Xt3+4fME6aQJAPzQCTQSv0ACANDcAwAOUAD/q9hIV6fhDSz6DmJqd9HSKh32uMfSk7rw52r7XIwjHoyM3T42kls7ws/aamhBqRAEwWAgvbTEc/Tion9SbcwcHlFD8zINzrrrlbhDy2vJE+JEatIQXeKclrQyBFEWg2MvgAPKtgdgO6Aa88qaSdP06d1jywtjDv+MuQY5AgSjh3HY/76Hm5KVTHPVkcsDa7IuCm36sKkbNtaRGmxptoU0s3w7zqG2zCSzuIpAyGboBFKOP5wCWp6cbq1d680CC/zSljCV2hAKYaAOV6Z9YuBP/1+ZgjEalqFLh04K0zZPG73Tdnffd0BrxkYLpR1/td26tVDlVVzvAkAQOf4L9dO64YMxAPxQFmG1ccCBDgQW4AAAvi41P604YWOxvraFwvIp2Vby8Wifbk5SunWB2rvupqAyMV3zy/GY+GRtyJh7F4kVt/Q7LtNXxamb2Q9Hv47Pi6t1u41oBRLFq/z/nHaCIuP76ONwdLZdZBlOGSoppwEcUYaZWryQIAEXAAjUemaNpyk7I8v3I1cJy6E+lKJNxUFTsNU61dGzvaNNZdkjVcMLTQUl+DFU8mof8mlI+nr4LQqbLnmR682ElhOel3oi0CvT/xhNihPLUfww8hcS6Y/ynvN5mEzm1FZIAgzPNoiDuBDwCbgAQKCpN7ONZST9bJn0BA8sx5fFGgfS0zS6tae3ri4ujDlzf5IJ/nZtNeSGa83cdBqBVzXL4fVMx7mht+tfyJ6Y54DfYp/tHLuBG4xkCoKxGp3m84VQRYGbCXP5pGUUU3KnpAseD5QLaAEABwCwAH+8dXMytL7faB8trcPLYbwWYSdzk/rU1Cc6kJrGPepX+ydXutgr3LfgvW1J2Aqnc/p14iYxTgHajvLXUq7PtdqmgtbSQVMjo2kj6yUfvTXE30WYVnzd7M4lWIcTBFUOK/oFCQCAAx2ALMABBuCQuyt3xoZRc7opylpsnRIYpMPlEizf3UyzpOwvGrA296Ony/qWY0j8Q3I2+wuqUBtpGTKp5Y2H8BrKQo1Y7RUMg+XBo1Xltu2Vt7ZwDs9xEQ0X4C1+qCXggoJS3QAkVTY7tXQBADgAoGwFGB8PuGNrGroQrNoeLg42g3OL6Rox65pFdmXC3nXhq/PdjaiGPEqoYQGzEE6A3/G+pr/hPr3694nZN/hAmS7im4ZuiYw0VS5S5DwQp39uVQXrE7skRk3PdRRE+KP9vQH6l8UFUMMD2C8GAKykSwA8zNMP9D9CNw+vO19L3BVVLW6vilbBVIRq6rQJdnkexXn5aXW0+NTezdGSPB45YvKJMpGZwVP5+idpTPBPRRPin9XoJZNqjrwyJIz9DUTPGrzbBJcjaSD+mQRSzu8+DoEtrkH17m2MiaMBhnl7GFQkOo6vNGktpPxLpQFeiOVZAeE7Aj5YW0ABDjwqiVJMKzc+2thvdbUen4zYCv7ivN0n5ZrxnkroJUrg0dX7EdPieNVCeivkv4sHQ7iDwboq87Z4uv7s5y4DfQ1ORXQ2gAxup6cdQgBlRcQXMjzl3egB/fhx/as43951NqQFnc7jnX0qi8pD9Q8+iOUFYAECMLhLAC1AAg4c0rTkHmt30nJ35hWMxX0nq7G1s5KOIHIUTwebTbRYqUKj6I9XoIDdfbf7a/Fmp93kMrW6rd5SZv2u7s1NQWXeK/O7MtDq5xp6Ztvip9QVIgPblUqyPT1eNdSxG87keCpAUHs65oZAQXPMBx7WAGPOx7V0MwIeyC0iMPEFwH5JYAKoj5yQx/0MHOtUsdiBINVkqp5P0pdbIYZzq0J83rBBl8cuZouFbMT9CGXJEs36GTb3bsr7o4xOQzzOdkOcGQ9GXA8jq1zhWRQtZAIX4wxxj+YZmWGvnk7kjDOGjJEjY5VhuwLik/sIDv6XLTIw06TBkvZLC1jAGIUEZLVo8xWfXbvCqfSsUt1oa9dqALxx1X4Q+H0YZpyNYsCM439daGr5j7oO+Y+Nr4k8++RRaugebnVhdYenn64bWI+f3MI8+TeF0LSK+ExlLl1pbf7pDsCbXdoiO6Hpk0dB6tEbvzW5hUjIL1lt1tJOTAHepy0iEHFWgLuhC+wCgG8WAMKWl45L1+3hgiioUxl3QxppmSakySIcp800X4O3e2qUHheAY9jUR95/tYG2p9yyk8oGkyGfYIZKw7jvQuDjhBwa+6SnhwBo0NC1VbyzcyCV0i2chK6er+SjTZimYJFkTRt45ldXXhwHkFAWPpj1EYiJCCaw6wIIwAlA+gAB6OFlFGtqaxi/Pl48xGa3ani8PUCKYNiOADgAaOAoDa+2gqIUUd2jslD+RTO6RHMXKedQmbPv2YXZny/HHoLcDnF83lXN0qpNuKwv31VKcwVQ/PLG/ZIXotTFleJkegSxe3krxJZ24vFCrdKJuDx3YeOOlrCM4AA+qPUZADQw2HUJYABVrzrgRQCbB8JL53sTyx+3fexGbYYn0rMWmc2lR8sgKgD8QSMQF55RFXGWP4B4RsERtxRbgv6nPjNM6juBL+v5AoXA28nAX99YfpTMbnABhBirQwLrQaE413Iu/cJ1GbrYkp6NowOlo+Vlfrd0lXrWTSTIJnONVnV7A3jfAgV+yLWFRPQZwBVoiSSf9c6jrrn8xSuZvGa8OdcMc9OeeyW5mHWhzjkE3e1turNp8b466RZWlk/wMSsCTd8LM5atLdsPC/3UjTMxDSUihpx72/tmBi2SWsDciX8hsw/jRkmW76g8IaCW1IFeWBWSYkcfjO/l59oAXsi1BQBoENovAQDM2gLA1aLtpSg+DLfiYbzhFryacHIECjwLXopFU4Jr1+fmmjjLvWB4UmgxCPnqzWENX0OOOYkprAq8mAhSeezfOeiFOU4urwDFtcsgwePObskPKxedT3buCw7B/KB+0OgsjNxeRsrlyOAycj8tTaXc0ZHe6g9euPUFwIwG3AUwAAAv50woDe+f8oD0uP09oWhrhZF/UjM3NPjM1MvnWD0wW3nJvBQo8iB5f3LxfVe8+rsoBr22H52njRzPwj+hy9YOA+y5QjT8Xc4gjsjEDtv+L1ogBWw73dA+zSYYSTaVdaR965d40u2fvb2Opx7OM5PwantoahDEvzgNXpiVBcBEABO5Ak2ozQc8wIi0XHfLGDnW2fGuaRwMjLltaghQg7U4wGuqggeCmIAHcofqeDbWbEArkAxdGw+ZwUcfu60unBS62ZuRQzGTjbiXELMQ+xr26IpQ50OcHrqug90l9WJMllWornUDPaw0UBGd3l30x0XYqvJGXdeVdcqBrgoBn7ygIwA+uPVSYqYjgsheCSC7wE4CFoANoIyki8XcyFN3A+QZ97pZrTqoBZHGaCTPZLyh0ZUYh172BcQGALnDkYKf23keTuBuRsRV5jUr/J74zVFPq6IbVkxUUOYoXDL+1hNp+oAngbs+22eqL32Rri99MREfrpD2tPkf4yOhXbtPaQLx6cvLRkiqCzyeiKXZQJm6ZhH5sADg504A0hEe2awftd1Ztyzmzs5Se4klMA8alXFTo7g3tyYbRokAhUdRnu829dE3DdmB3ai3Gz0cP6B4Bh6sDYS2cK6z+OcNEJiQeod+ZWqs7Vw9TSHG8V/E3pVdBSVq7xQ/uHP3gnA9glgGspxLps/68bSVgtPYwAEeiLVZohwA2C8BBmAB2ACWAHjBObe95HW0TvdHOGnBjVxRL0rcG1+Mh7A0ll+7NmugDuAIii1RQFFUcPX9fA3REALbNm0YlIRa67o3g9taL7Nu5gF7vGPxD6MEjJUIHsS6eXKKCQnPw76SFIRkIbMBYoOzN6tuU9WqXVNDLQIgUzMHPlj1WWKmF4D0rgswAzgAeRSVqPceZBTra6tDTRivvymUfG0AvFD6AA0EZSOU+R1uEDrueaW07egrT7FyYCCZn6dVwfBcDLD1ydTE7XUWcU2gzVgy3SwZ5/4mE121NZeRbYuAux+rTwh0v0xAqo5hUZc4kqxrlENXaIxqfmiFrKjguAJknUCibgNoHWDU88S6/WZ2Nt8nI/vaTkJhMZZLKztQMUY7DzQDxBQzVoHPep6PT/dYGhdxL1cg/R+dC0Bm6nAPV6SqRd8Z0bQywowx4CbcZg/z1zEuc0YL/IqYrm1pl4KT0GAFq0ZC7bc+NhWreciPj76g62tt+a5UPDd4CwgEPliVtURcUMB6vwTQBXiFxY+0Xkqs3coduItSWx7pyuGgBjDn4TCcJEEZh6PCJoYTF6YboBt+1KHl4LYDg0zlSOfvxpHO97k+7u7Ojm5t/nEtc6GCu8QW03Ev1M5/rM6cRJpKTPJCf/HRcFZBK9+jLB1t1W1+iN/pscHINzRxDj6IhQzQLxFE9koPACgApCMHU3epLnVjSlQy6VTENUM/BW5zOg/WnXgA9x27cTo21ivvR5+3MAS7kFzfkHSNsLoL2LexYi1jOWwcsOV1qEPHnqSRj9NKufgqD5yTF9LoeP5L7dVhO4em2InelNZSKyq9FHXMI3aFUi/mukr1VagAXoiVhQThCmC/DNACFOCQyCNhx99xn76aefN3rpsFGRmxiOaY7fx4DBBgjDK0OAMP2MqHv8yNv07TaPYjxNrKKbohaQmURV4/5kKzTtzk9pUtqCpdzpbRalrycnHxcx3PXZc5XoTTpBghQX98RMrmDQhRtx5w2fNB3WlJtTz8txIeeNUFgH4NwHq/dAGA2TSbjodYlYOFzgNqfUwnVilEo+OGAnixuimdOg5hN14DWRRBGz/u81UfVm0GMvtwr67Uzjk0n1zBB6205/02N6LOCmSKws7ngkV3XW+eJQVMh6jnlHSYZn+wzrM4pZHUy9fKO0Me4vWvQurD9e7VAU9nZ1MAAIB2AAAAAAAAz1CzIQMAAADleuJOIICAe4OAi4WIhHyAfX+Aenx/eX2DgIOCgot8foJ8hXp/HriNHpjwWsFW7pcEAuCZqYeT1N3kSDtZHbpt/hShI6unKaggnYpYBcuap4n+dOHJJAiZ+/TnX8D56hShu0X/2GB3P+F+7DiMEUNXBMHIQBJHQWwOrtUVB1Yqd4VCt6MVXn8zAdI/1yCzFjp52VXY1hnmec/f570vra1iXobSqQE+6LURaHUOIHJawMGcKVey7NqSRXrk5nviBVn1ORrFulTf436Olnncura9uR37EBlHTeujt+TxEcXOHeRiAzvU1SFOtqtSRA199MV64Z83PtDbhTqEessPA9xibOeTT7QkzUyTtpD9hIuGAd0OA5RElPBxRfbWv40uBTNY6DDwAJ64tZaDfgmAKwDV+iUBXAkn5vnVZcvwpA8FfRMHoQMNUqV4lQYhqcvdyCoGmZA2Hs+/afYIJzuujmsOnK4Zdl3XcKhReVHCyOKsB5Q/Gi0bza2fIzbETLuz9/Ymvta2B+HtzSm58qnHPPfxC21fSjOMtJ6/Cp8SFvazBX64tVmiVCYQX+3D4ErAAZglS/a7v/vm0c9a8zPrbZL20X1DFwfPlAB0neKFQ9VUVrbSkDNVJWBsVupSIIMlToGWUL373fa/Y9729jnhuwAygO/RDrUU2qZaQUyYWnHJdsyza8mf7VVw1qUiycHmyhFegHcfqWLXtaSNnw4WTYjy30ICvri1UWKOIwCuwCZ2AjBHxXncmrYgvKRXey6nkxKXqNbfCopCzKahuO1xUM0wldaUohDKKOr9IKWe9rTv4QBxREdDRvVYmyvZOM1Y2xno/Xu8mBff/Ztacetyi0I20Fk0BGb4p9upwXdTNFrIRgsQ6jkNSb6+vrWRxIu1mW0ZGQC+qOVRQakEwIc4ANxJwAFYAlCMJD/ZrdbkpMWf1fTY09yzW+nZ54KeNUbM+t3WaDWuGkwdEP7bSZ6CQ2/NUYeMQwEokAEiY2wYyYFC7025+/C5oAep+1WzFCpp9j/J5XYn9tiqF6ofI1AA1C0rSK/qScC820ux48csXSRClqMui90MR9fngzdNVxcOHqj1BQBUsM5dlwAW0MYrwAKQVWX3XwdR723ombaWFKNmlXvzvWqolgnwVSgF3HDXCHt5o5JiNZiNFvozmybIOUinJl79/rKsdl0aCQa4qMe+YsMBHeO7gZLvN08mpP2DLi2vTy85jL04i26/tpcwpFwwSattucL0xwq+8jRSAVR2IsEGAF6I1YWCmIkgebaOBrTUDoCVN2V3eXg6+JXRz70rWCvtg2kYgDmMArw+FD51VZjDnot0PmbT4H5kkADdPMAxPYdCSF5zrEeKvCBzUmyF+oZjlWkT+QQwBK2pzhtulQkN33ZHLnVV8/G6pqlOaWhk3ffem6Rk+NwrrcrGd+n2y8K9pNyqyd6LFgC+l7UVAGiwll03DADQrmABSwJsNaOj1N/FXz/5FVyr4lKj8cH2GjF3HSUA2EdGFUoDwJmWbsTBXaX9+6ThxFnolMeURGpF/cqRbo+OuvMtwvrdpy7dgN6TQzCHp6QV3FmB6mOJWNrPMyxNQt2yR7Ksa4WHhMoPGDeU8udqs5yp2/9ymgT+V/UFENOkAHsNASRgprkWBqfti41Yi5KBOpoiUYCTl3lxntrnMnTXWYidGfZVz5pOnTNjXv5Xtc2u4zwMNNb38zRqJVuA0elWPPrcCxLqORB+N4S62nl1e55zpReF4RBGw4pBA8VMSUpGvrLugY0IVUWbN0mAFOy8ow8B/le1hQLUdQLrtV8SGMABSKYl8zIernaVgLWy87m4zt5xqwRoskfqG3eU2VHPHHIhQ1abU2z32H2W6lh15bbnAwr4neNVqp0B35i5PbE2KjJTBmamg+/LQXqOmNhcREUQngRimcqlka6bpqE5NlXWULggDePsrLftnf0W/N6W1QC+eOVeA/NFM7G8AolazkW76s7fWaGkk+3ZMm6IL7aePjY8m7dsEskpJMsInqlUgYxctnPstNDm5ec6fDowAxulroin7KxXoagXxLPDfDQorQSXUbdqBrUoN6g2Z0V0fSRwZFBbzLUNUrqakIo0EPJ3hB8A/tP8IUgEPxXhAD5otVrBTN8dxLsuAIAdgHTk8LjGd7t5Jg/WPrFZuvX45P+dBkdF0QSQwSgjo6+xfuT5qA8br35qRAnn+LxPIFykrMw/pCF7s45YZH+yac/GGX7gxF1YuqQk0XJMZ9gxuvmnMbpAMDDJcDOK+tGMmMmAOxpdQyTc/PwhTvFpIQE+aJWFBPEAsFcAEvgGAMDIwzG3/+qYc7I7f9x+qUVbk/J/tAqhcZlmKSgEj+ovm0jJUhQ3ZWzWxj713l7PHhKE58TtPnaMPjqzXIenXn+b7qQN5T0hboulQhg6ZbakhBcGkujt4nU4+iLPSksWze1yRry64ubXIdpXo2DU/6XmJV5o1VkB/UUD7hJADwC4leSol1PbdYQti/MLQt7NHa2j0YitEZAmimp9fzG3pSZxgzwJACW2INwCzlL/U2kLOL0+MtCTkp6/4ZkGqmMD4fqwg7UZ/u7JntcQhw2jCCIML/tX1JYOdZc0wd8U7Z78d/fyhTMrR/EGvUcFHpiNXgF9ArBfEhhAy0jrnSHi2+5VHe1sfa1bybwqiXWUzYyV0B4A12uyXnvoEIcC4PNEy2ha6uajbK0DGzSsQ67f3ZCn8YoMPK0GBIYQRT8zPDwihtYIJgTrXQgj3HVgWzd1I9qBM6sKoZJ5raweTeLuBtJ8WnNR2X7HAz6o5VlBCQeA/dICFlA3ZusA3I7Rz8r1jO1w8bC+bUtVFRa/VVCOUBHLVACmelkarf6UIUEbEV0zAgD05pcqlWcFnCpqgg1HHdL4f7RbbCkzAvrGJZp+fs+QOkLQ22RsVJDsERfF0QldZ7zKgrrdFVBamF12Y0Td65vTY2MpWgd+uNVeIuIrgP0CAKjLowxmB3Ve8Np4ng3H0rO749BuKxCq8mHpTmFgBi4ZVQEEIIHn+Mk88kyyQI3mNQh1Z+1WVYJDY0+3O3HZzT6D2FutO49un1iuIGr1ePWvZ5alXQ+CVnEKbjq3xBHYfrPKTVH1QEITCFMMSUkLHuiNHpj6EsGc+/0BBECykpbOkzj534wr0TxrAYyafbePJ1+CgAIopTX9ldRh90fg0GF94rgaXZnRpw6ASgpPIzp83unDtpA+y3YrzqlOBF3JpmYvUpSnYHeHv+spGLtUgr/uod1efKcLEBfgycsN2vT3WVW4CoROR6ME5QC+qOWRIfoLgKsF6PBy5jZKlPf71QWrN3FNai3PZ8VKr80hTUqScE7zc5f580tGzaCkKPmH645BUKrcbNmd6oLAia/7sgljhdXh5+V1vaLMPe+DkerFhqiyIkzkPO1iM0X37Pqs//a/ymglLT5CCTyenyiBlEvxbPI/BVVoWrKXXrGGAF64tRGgzgCudgDNOassl21rrHr25DjNc/KiZSzq326NNbUVAbmGN4yYg+TmseNYGRl7vruH24w5Af2n+tFp6B1XtvNIcIes3ER6VQgNwzixkdT9HWI07a2rzk9o/SPUGEQ/4ixiY4xpo3KV0LG7poVok3BRDpwmxan9NpwSpYwAvtjFPYnWAczygUABmjMdzlOeThiW2XY46LS0Pp5TiYtRpYaziWZBpiv/TMs8LtQ1SHC/KY7o4vKWUt11iN/xVRRZzpOuNzdgi1BR8eqnIY64CB3RbRjperw3JRtswr84kXF6DUkQr9x38UIdRuAYMgoFlzJx+C4frcw9DZXGjEhK0gBeyPUFAF2DpeyXAACa7VLnWsK771UexMvGIh+hmFOfvQJXLpEmulaepu162M4phpw7bXMKS9rnp4FPpyIAgEK/ndO5PareN7fXQixulY+f7gQ/ThA50Wuu3XYZNG8YSp6AQ4kyjrVaWyRw7KM9TTGZayZZFTQprkZ3lN8/oU6ro1ws/sfNBcCEBoH9MgDATgAOQOYu6Qrf4VHtgdwGPPVjgwrtqkUKyTUfkQJ9fskLEAZCNEu/jlUUaW/VFKy5ZhK7U2dk62rKh8JQrOxZllDlKL3y1kroNV2H3fll7cOAmfZ4o6SvDJSjgB5QM7vx1BmjNVm/ojCHE0NFw3obO5pdqByLB36o1ZUEoMGWXC3AYH4C6OAALumSrq1ZitbhgUVKDg5qnZ4cWFGPgMaAoS2K52q/K0EwSgA26qAVzBUIOJH55iaITr2p1uN7ZmwM+vZFNsl9h61dVg30u++kza46MFldWh0yZpB9aPxTIq5rjpGplgEP+zXqmi470EiG9F/QZY4NJpEcEpmi+Q2e/mM+iPWVAgAQ2i8JRAA7AGnK1GJfCs5Y9lejtweE29J3ZbcIICqJAbh6D9NNFX5sYYhiaoQAxrkUjLVg0fjonRieh8r3RecmNHCbfLGcBCDC0Tj6K5h+u3uluY/6rNEf+LhC5Tbo4+SP52DBha5IuJ0Zigwg/HXh1PSag7EAPniVlUSJANgrAyygmcxFl2r/xyx0A+4Gjq8bjlxXqW/LGzmkvXlEx16J7uwIH2rSyy5dbfft9RzbXT5nWoGc+pe1yQhwXZouv8RqJdG4TRqf7AQXbuDbZp0ict7jdxEmATBjXbKbKeXLfT+GraOWIy4NY2Ey+3oDqLUso34A3ofVPQAwwK4bFhhAy8jczfAvsdoTq8bunofNatTo9srWm5HWt8njr9Ds56nYWm5jj9PgeftJw4kpxo9BIuRpttXtX8nTtblFSOQ9E5XKe+ny2ihsWe+crKWEijKdftJbImFThII9nx3BzMtHxVHuZhaOznId3UN29811CKvYWsLRAJ6I5TUHAAhdgYSXaeuAS7iks0w8Z/jKyP26lDLMYNlGwREqBA5+v+5hD0nIeQ0JQBysfMOT7YsAF6cw8vCJj6iCtnEzzl6vnR6KWTiRvQXwV+aQsLDNuoKSQo2W+WGvFc5uguEHWLrA7PU1trNiPv4DxRREMu9HIBws3gxemJVRwXQAnBYAWk4CHiABwxncedt4a3E4PwSDkGkm1NeUhgpBARmgFJzG21DAP7Z5IY3nRagc77no3/diTDFcbrQtV1GvmpYWAc479v2JFoqEUF/0p5LYAtZeKW2xt55HLSmXpw3Dt2/lAWcl9apfQCoUqnsTcpJYm/tRRTiaN6elEQsAHliVlQQTGhjtugAEMJu5PorSH2uMtCujqPP92CgRHjtSF8t00qiPteLVKzO7e4sikTYchT0M/eSpXx9VxxEtI2oCOakpkgI9QI7Hlpn6pC68CHv07wGwQ4Pj0gOWlF0MAznz9fEiDohyoLgn1gB0Fz+Wqn9+YRzUCwDeV41RQfQrQHrXZQCA5iwAFJ0hdndwo07/gt5kBhnquClFIw5iZjyr0z0zod7FVasVv1Ha1ZHjG8dGenFo5PsF0V/8mpVDQPM6sFn0uZ1BkTCVWd1w/nHbHYT6SxG6X8ZlsDJ1RjdYCAHsBHA7uIiEKRd8VmnatvfjdlLO7wLbT2dnUwAEUI4AAAAAAADPULMhBAAAAOZT7K4Ngnl7fnh1enx2eXhjVF5YtZHjwitA8moBoFpvBKhEolxaX/M8wdCX5tC5rZDl0a4CCgS81EWpJG+sARh6sGJV2A5JstE9Rg4t3hPVK9d3g8o9srGHzgPWcEJzwI3ku7Qn+jPaK5e+gKyvt5U7Ou+pczfDroZWTlnz2PNiCuGzBhxiiRP/ZFanXCYh4f5meAs+OKVZgukFwE47gJOAkW1nxumkRlZIH7+4NWqGWtuLCW6CgO5SCiJ/9RU1MHrwcmFve+zyXDas258XxQabNpLb37v2WtLguMDHquVobcbb2P8kb3GWP2HWIZ/Xyn8oJFA0p1kD59Z7x0JE5Dx/MoZ58cvF3EzCc24BHijFURJMlwi4WgDwCtCcFcfD8rEMy/zkt3MlPE8YDhqKwohTXd8oQT9Pp4h2OBQGbX9JI/XoZ113/i/JAzbFDLAh54WUi/xC7lDV0G+nAvSydl9P+I1Dwim3mRevDhjIQ4THQgOfnqReDGrmW2hoxVt13tuVSRIXCrkVHugklYGYrtDhBKBlzqrN7Frc3BYc/HnYl7rokATi1yzWde40dMHQ3jd7aGHf3BYAIP3JozTVUfD7qPoIMKgTtn8tpk5AwKyOe8C+6wEMAwwXNbNZr7bgHsyzJVqbspyore1ME4cqgbmhheORO0vUliYBC+dZKU6YMbxFjvkAHuhk2SLoTEy4ArDA4SxADjG3eL+x6oV0+7vN4dZcGSJSMT2cPrSCVbJnO0sJ2oCq6SXXFUYMQsw7bWgaORJrOMIihvxcrzhIndieaWhd04Z17llsKNvaMu31vluF3u/irXkrh00aRvZZNArTJxZc+Q4SQmNRm3lXHghl2QLhKzKJdwKBaiVKZ4jlizQwR7XrX4s2QRN6+EA5R0vwlC13219orLTTzABkj/GoFBryfL1q2JgBlJ0ic1ZcV4X/tNA5TZNxMY9mewfYdQP9AuXXslhhHcG/uGqOvOPxmg/OfDeQrrDy67v2UKLeq5oH/vdE0UbU78okeQLgZTNnecJMbZGYeGvs3/OV22Nf/7YgRAxjM7u+3V+na8rTSyMLYF2k+hiK7ozoATD7XNbw6sZJOl0Yjcpb2XJOok5ta7eCbQ/hZqZb6gnl+Kxr160hX4hNHKAVSBcKhsGbtuJFdtbqi6CvTsOLKgf+92TeBvVl4kl+oB0UYM6RYFa3NulBDKtfPtehzRyWxeOwiU41AU3YMztPRUQT+63O1Dt1G8p2LGQaMjboTDHkN71V5UFkAB2gHJkQjUvXlPpZh4v0+ZgeZnqzQnUo67v52HvBgRLls9UvACfsaGCvt1NOsjbATId5pR4A/udk0Ymo18oROYFCmxyhprOfo5zb3fdqG7JsPGiMc/0Qu3mkWqxf/uPgQgR848wWUcsMv801YfEOmaN7nm12//4PW4GB1PexmHVUzcZecniRhoHtuyaLpSCdK7T7IGuxtvUOJ9WFgvhTUytOE70uLIXG5mxhGx6IdNkHEecosaaHwQBGTrOa0XFTm2jI1mU7TbZGzNdmN4KjHkWJNw+pYY9SVYrQba41x757iDKpuetG2BzaslQdrCs+J2veJbuyGGuZo32hhbxLXWzdsrqnh5WAQulLuti4TFoO/TMoqPvGO6Ukzn3hhWrJrgzuLAD2Z0xqD4rMWiJwAZwCDO7UIiNdh09Hjq/nLG7daYQ/XgGCzEtLo2YaXfXlNKTWnU6Bd8VTPhRGLncYahn65mACS8yS9Hqb1d3FjP2YczmCwTYg64lkM7r6mdHpTSn3nRY4YAD8UNXtYNqsxKCn4279XgyjKSXnHAD0vtNNJjMLcAAA4wH1r4R40iatgAoSt9ttbnUbUjo4fQi1znc0o+4KOPq6Gt2b3LP01mZAWHweshQG2s7/yq6eiMtja2ji6VxpCZjvGTmKGH7x8/Fpuv014w93PvPNhoxZ/AD0qnc9zKem5gN4Ja45GFWm6VvtX3Q4nIvgKFt1VHUXy3fhsSPAOaPpSUfKuz3pT18Ij+JODgDBn549dffa8UlwLnLebZUFeY3uOZMoYQSLmUuUDQA=','22':'data:audio/ogg;base64,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\ No newline at end of file diff --git a/src/web/static/clippy_assets/agents/Rover/sounds-ogg.js b/src/web/static/clippy_assets/agents/Rover/sounds-ogg.js new file mode 100755 index 00000000..f5038087 --- /dev/null +++ b/src/web/static/clippy_assets/agents/Rover/sounds-ogg.js @@ -0,0 +1 @@ +clippy.soundsReady('Rover', 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\ No newline at end of file diff --git a/src/web/static/clippy_assets/clippy.css b/src/web/static/clippy_assets/clippy.css new file mode 100755 index 00000000..0284eda4 --- /dev/null +++ b/src/web/static/clippy_assets/clippy.css @@ -0,0 +1,62 @@ +.clippy, .clippy-balloon { + position: fixed; + z-index: 1000; + cursor: pointer; +} + +.clippy-balloon { + + background: #FFC; + color: black; + padding: 8px; + border: 1px solid black; + border-radius: 5px; + +} + +.clippy-content { + max-width: 200px; + min-width: 120px; + font-family: "Microsoft Sans", sans-serif; + font-size: 10pt; +} + +.clippy-tip { + width: 10px; + height: 16px; + background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAgCAMAAAAlvKiEAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAAlQTFRF///MAAAA////52QwgAAAAAN0Uk5T//8A18oNQQAAAGxJREFUeNqs0kEOwCAIRFHn3//QTUU6xMyyxii+jQosrTPkyPEM6IN3FtzIRk1U4dFeKWQiH6pRRowMVKEmvronEynkwj0uZJgR22+YLopPSo9P34wJSamLSU7lSIWLJU7NkNomNlhqxUeAAQC+TQLZyEuJBwAAAABJRU5ErkJggg==) no-repeat; + position: absolute; +} + +.clippy-top-left .clippy-tip { + top: 100%; + margin-top: 0px; + left: 100%; + margin-left: -50px; +} + +.clippy-top-right .clippy-tip { + top: 100%; + margin-top: 0px; + left: 0; + margin-left: 50px; + background-position: -10px 0; + +} + +.clippy-bottom-right .clippy-tip { + top: 0; + margin-top: -16px; + left: 0; + margin-left: 50px; + background-position: -10px -16px; +} + +.clippy-bottom-left .clippy-tip { + top: 0; + margin-top: -16px; + left: 100%; + margin-left: -50px; + background-position: 0px -16px; +} + diff --git a/src/web/static/clippy_assets/images/border.png b/src/web/static/clippy_assets/images/border.png new file mode 100755 index 0000000000000000000000000000000000000000..e0825f61fac60e46c739e3066f55060bc3c210a4 GIT binary patch literal 229 zcmeAS@N?(olHy`uVBq!ia0vp^LLkh+1|-AI^@Rf|$r9IylHmNblJdl&R0hYC{G?O` z&)mfH)S%SFl*+=BsWw1G?Vc`XrY`u>jpS-@Q$xFc8Lw%d|T4tU_!s1Kbe|jrt^sq6);6=NK2k)t6 z4gZ$<#PFo#W>)`RbGA)4?e(=J({FXvKGkbe-+J;sIp>m4b$`M3o6NIy-|DA7xtwUt aD#0MzA1$;``g#q}NerH@elF{r5}E*rE?GkW literal 0 HcmV?d00001 diff --git a/src/web/static/clippy_assets/images/tip.png b/src/web/static/clippy_assets/images/tip.png new file mode 100755 index 0000000000000000000000000000000000000000..90a0815ee3234eb708c5ee2bbf1b39ce59d1bcb7 GIT binary patch literal 238 zcmeAS@N?(olHy`uVBq!ia0vp^B0#Lb!3-o-_pE3EQj#UE5hcO-X(i=}MX3yqDfvmM z3ZA)%>8U}fi7AzZCsS>JiZ}y&LR|mZQyOyq!Nougl-7-~WCOr{~IUPrs)gt=+1AXD8fJ gGmFSN>fXS}u+Nw2<_YgkcA&isp00i_>zopr00ZGy(EtDd literal 0 HcmV?d00001 diff --git a/src/web/stylesheets/index.js b/src/web/stylesheets/index.js index 38972281..0c215f78 100755 --- a/src/web/stylesheets/index.js +++ b/src/web/stylesheets/index.js @@ -8,6 +8,7 @@ /* Libraries */ import "highlight.js/styles/vs.css"; +import "../static/clippy_assets/clippy.css"; /* Frameworks */ import "./vendors/bootstrap.scss"; From e909eea82a1b8cfc6573fdc98652502684b82f2b Mon Sep 17 00:00:00 2001 From: h345983745 Date: Sat, 23 Mar 2019 16:14:40 +0000 Subject: [PATCH 25/47] Added description --- src/core/operations/ExtractFiles.mjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/core/operations/ExtractFiles.mjs b/src/core/operations/ExtractFiles.mjs index b9b260bb..b5279c17 100644 --- a/src/core/operations/ExtractFiles.mjs +++ b/src/core/operations/ExtractFiles.mjs @@ -23,7 +23,7 @@ class ExtractFiles extends Operation { this.name = "Extract Files"; this.module = "Default"; - this.description = "TODO"; + this.description = "Performs file carving to attempt to extract files from the input."; this.infoURL = "https://forensicswiki.org/wiki/File_Carving"; this.inputType = "ArrayBuffer"; this.outputType = "List"; From bce0895392c5963d18a692134a1de5dac48cdb0e Mon Sep 17 00:00:00 2001 From: n1474335 Date: Wed, 27 Mar 2019 23:02:10 +0000 Subject: [PATCH 26/47] Updated helper capabilities --- .eslintignore | 1 + Gruntfile.js | 2 +- src/web/SeasonalWaiter.mjs | 220 +++++++++++++++--- src/web/html/index.html | 2 +- .../clippy_assets/agents/Bonzi/agent.js | 1 - .../static/clippy_assets/agents/Bonzi/map.png | Bin 834208 -> 0 bytes .../clippy_assets/agents/Bonzi/sounds-mp3.js | 1 - .../clippy_assets/agents/Bonzi/sounds-ogg.js | 1 - .../clippy_assets/agents/Clippy/sounds-mp3.js | 1 - .../clippy_assets/agents/Clippy/sounds-ogg.js | 1 - .../static/clippy_assets/agents/F1/agent.js | 1 - .../static/clippy_assets/agents/F1/map.png | Bin 1067669 -> 0 bytes .../clippy_assets/agents/F1/sounds-mp3.js | 1 - .../clippy_assets/agents/F1/sounds-ogg.js | 1 - .../clippy_assets/agents/Genie/agent.js | 1 - .../static/clippy_assets/agents/Genie/map.png | Bin 985553 -> 0 bytes .../clippy_assets/agents/Genie/sounds-mp3.js | 1 - .../clippy_assets/agents/Genie/sounds-ogg.js | 1 - .../clippy_assets/agents/Genius/agent.js | 1 - .../clippy_assets/agents/Genius/map.png | Bin 1175739 -> 0 bytes .../clippy_assets/agents/Genius/sounds-mp3.js | 1 - .../clippy_assets/agents/Genius/sounds-ogg.js | 1 - .../clippy_assets/agents/Links/agent.js | 1 - .../static/clippy_assets/agents/Links/map.png | Bin 819223 -> 0 bytes .../clippy_assets/agents/Links/sounds-mp3.js | 1 - .../clippy_assets/agents/Links/sounds-ogg.js | 1 - .../clippy_assets/agents/Merlin/agent.js | 1 - .../clippy_assets/agents/Merlin/map.png | Bin 1037168 -> 0 bytes .../clippy_assets/agents/Merlin/sounds-mp3.js | 1 - .../clippy_assets/agents/Merlin/sounds-ogg.js | 1 - .../clippy_assets/agents/Peedy/agent.js | 1 - .../static/clippy_assets/agents/Peedy/map.png | Bin 1893941 -> 0 bytes .../clippy_assets/agents/Peedy/sounds-mp3.js | 1 - .../clippy_assets/agents/Peedy/sounds-ogg.js | 1 - .../clippy_assets/agents/Rocky/agent.js | 1 - .../static/clippy_assets/agents/Rocky/map.png | Bin 1239901 -> 0 bytes .../clippy_assets/agents/Rocky/sounds-mp3.js | 1 - .../clippy_assets/agents/Rocky/sounds-ogg.js | 1 - .../clippy_assets/agents/Rover/agent.js | 1 - .../static/clippy_assets/agents/Rover/map.png | Bin 698394 -> 0 bytes .../clippy_assets/agents/Rover/sounds-mp3.js | 1 - .../clippy_assets/agents/Rover/sounds-ogg.js | 1 - 42 files changed, 192 insertions(+), 62 deletions(-) delete mode 100755 src/web/static/clippy_assets/agents/Bonzi/agent.js delete mode 100755 src/web/static/clippy_assets/agents/Bonzi/map.png delete mode 100755 src/web/static/clippy_assets/agents/Bonzi/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/Bonzi/sounds-ogg.js delete mode 100755 src/web/static/clippy_assets/agents/Clippy/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/Clippy/sounds-ogg.js delete mode 100755 src/web/static/clippy_assets/agents/F1/agent.js delete mode 100755 src/web/static/clippy_assets/agents/F1/map.png delete mode 100755 src/web/static/clippy_assets/agents/F1/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/F1/sounds-ogg.js delete mode 100755 src/web/static/clippy_assets/agents/Genie/agent.js delete mode 100755 src/web/static/clippy_assets/agents/Genie/map.png delete mode 100755 src/web/static/clippy_assets/agents/Genie/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/Genie/sounds-ogg.js delete mode 100755 src/web/static/clippy_assets/agents/Genius/agent.js delete mode 100755 src/web/static/clippy_assets/agents/Genius/map.png delete mode 100755 src/web/static/clippy_assets/agents/Genius/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/Genius/sounds-ogg.js delete mode 100755 src/web/static/clippy_assets/agents/Links/agent.js delete mode 100755 src/web/static/clippy_assets/agents/Links/map.png delete mode 100755 src/web/static/clippy_assets/agents/Links/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/Links/sounds-ogg.js delete mode 100755 src/web/static/clippy_assets/agents/Merlin/agent.js delete mode 100755 src/web/static/clippy_assets/agents/Merlin/map.png delete mode 100755 src/web/static/clippy_assets/agents/Merlin/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/Merlin/sounds-ogg.js delete mode 100755 src/web/static/clippy_assets/agents/Peedy/agent.js delete mode 100755 src/web/static/clippy_assets/agents/Peedy/map.png delete mode 100755 src/web/static/clippy_assets/agents/Peedy/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/Peedy/sounds-ogg.js delete mode 100755 src/web/static/clippy_assets/agents/Rocky/agent.js delete mode 100755 src/web/static/clippy_assets/agents/Rocky/map.png delete mode 100755 src/web/static/clippy_assets/agents/Rocky/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/Rocky/sounds-ogg.js delete mode 100755 src/web/static/clippy_assets/agents/Rover/agent.js delete mode 100755 src/web/static/clippy_assets/agents/Rover/map.png delete mode 100755 src/web/static/clippy_assets/agents/Rover/sounds-mp3.js delete mode 100755 src/web/static/clippy_assets/agents/Rover/sounds-ogg.js diff --git a/.eslintignore b/.eslintignore index 529676da..da0a1615 100644 --- a/.eslintignore +++ b/.eslintignore @@ -1 +1,2 @@ src/core/vendor/** +src/web/static/clippy_assets/** \ No newline at end of file diff --git a/Gruntfile.js b/Gruntfile.js index 11b77452..cac7e842 100755 --- a/Gruntfile.js +++ b/Gruntfile.js @@ -151,7 +151,7 @@ module.exports = function (grunt) { }, configs: ["*.{js,mjs}"], core: ["src/core/**/*.{js,mjs}", "!src/core/vendor/**/*", "!src/core/operations/legacy/**/*"], - web: ["src/web/**/*.{js,mjs}"], + web: ["src/web/**/*.{js,mjs}", "!src/web/static/**/*"], node: ["src/node/**/*.{js,mjs}"], tests: ["tests/**/*.{js,mjs}"], }, diff --git a/src/web/SeasonalWaiter.mjs b/src/web/SeasonalWaiter.mjs index 07c76a04..f516858b 100755 --- a/src/web/SeasonalWaiter.mjs +++ b/src/web/SeasonalWaiter.mjs @@ -5,6 +5,8 @@ */ import clippy from "clippyjs"; +import "./static/clippy_assets/agents/Clippy/agent.js"; +import clippyMap from "./static/clippy_assets/agents/Clippy/map.png"; /** * Waiter to handle seasonal events and easter eggs. @@ -35,8 +37,9 @@ class SeasonalWaiter { // Clippy const now = new Date(); - //if (now.getMonth() === 3 && now.getDate() === 1) { - if (now.getMonth() === 2 && now.getDate() === 22) { + if (now.getMonth() === 3 && now.getDate() === 1) { + this.addClippyOption(); + this.manager.addDynamicListener(".option-item #clippy", "change", this.setupClippy, this); this.setupClippy(); } } @@ -63,26 +66,56 @@ class SeasonalWaiter { } /** - * Sets up Clippy on April Fools Day + * Creates an option in the Options menu for turning Clippy on or off + */ + addClippyOption() { + const optionsBody = document.getElementById("options-body"), + optionItem = document.createElement("span"); + + optionItem.className = "bmd-form-group is-filled"; + optionItem.innerHTML = `

    + +
    `; + optionsBody.appendChild(optionItem); + + this.manager.options.load(); + } + + /** + * Sets up Clippy for April Fools Day */ setupClippy() { - //const clippyAssets = "./agents/"; - const clippyAssets = undefined; + // Destroy any previous agents + if (this.clippyAgent) { + this.clippyAgent.closeBalloonImmediately(); + this.clippyAgent.hide(); + } + + if (!this.app.options.clippy) { + this.clippyTimeouts.forEach(t => clearTimeout(t)); + return; + } + + // Set base path to # to prevent external network requests + const clippyAssets = "#"; + // Shim the library to prevent external network requests + shimClippy(clippy); const self = this; clippy.load("Clippy", (agent) => { - window.agent = agent; - shimClippy(agent); + shimClippyAgent(agent); self.clippyAgent = agent; - agent.show(); - //agent.animate(); - agent.speak("Hello, I'm Clippy, your personal cyber assistant!", true); + agent.speak("Hello, I'm Clippy, your personal cyber assistant!"); }, undefined, clippyAssets); // Watch for the Auto Magic button appearing const magic = document.getElementById("magic"); const observer = new MutationObserver((mutationsList, observer) => { + // Read in message and recipe let msg, recipe; for (const mutation of mutationsList) { if (mutation.attributeName === "data-original-title") { @@ -93,42 +126,145 @@ class SeasonalWaiter { } } - // Cancel current animation and hide balloon (after it has finished) - self.clippyAgent._queue.clear(); - self.clippyAgent._queue.next(); - self.clippyAgent.stopCurrent(); - self.clippyAgent._balloon._hold = false; - self.clippyAgent._balloon.hide(); + // Close balloon if it is currently showing a magic hint + const balloon = self.clippyAgent._balloon._balloon; + if (balloon.is(":visible") && balloon.text().indexOf("That looks like encoded data") >= 0) { + self.clippyAgent._balloon.hide(true); + this.clippyAgent._balloon._hidden = true; + } + // If a recipe was found, get Clippy to tell the user if (recipe) { recipe = this.manager.controls.generateStateUrl(true, true, JSON.parse(recipe)); - msg = `That looks like encoded data!

    ${msg}

    Click     here to load this recipe.`; + msg = `That looks like encoded data!

    ${msg}

    Click here to load this recipe.`; - // Stop balloon activity immediately and trigger speak again - self.clippyAgent._balloon.pause(); - delete self.clippyAgent._balloon._addWord; - self.clippyAgent._balloon._active = false; - self.clippyAgent._balloon.hide(true); + // Stop current balloon activity immediately and trigger speak again + this.clippyAgent.closeBalloonImmediately(); self.clippyAgent.speak(msg, true); + // self.clippyAgent._queue.next(); } }); - observer.observe(document.getElementById("magic"), { - attributes: true - }); + observer.observe(document.getElementById("magic"), {attributes: true}); + + // Play animations for various things + this.manager.addListeners("#search", "click", () => { + this.clippyAgent.play("Searching"); + }, this); + this.manager.addListeners("#save,#save-to-file", "click", () => { + this.clippyAgent.play("Save"); + }, this); + this.manager.addListeners("#clr-recipe,#clr-io", "click", () => { + this.clippyAgent.play("EmptyTrash"); + }, this); + this.manager.addListeners("#bake", "click", e => { + if (e.target.closest("button").textContent.toLowerCase().indexOf("bake") >= 0) { + this.clippyAgent.play("Thinking"); + } else { + this.clippyAgent.play("EmptyTrash"); + } + this.clippyAgent._queue.clear(); + }, this); + this.manager.addListeners("#input-text", "keydown", () => { + this.clippyAgent.play("Writing"); + this.clippyAgent._queue.clear(); + }, this); + this.manager.addDynamicListener("a.clippyMagicRecipe", "click", (e) => { + this.clippyAgent.play("Congratulate"); + }, this); + + this.clippyTimeouts = []; + // Show challenge after timeout + this.clippyTimeouts.push(setTimeout(() => { + const hex = "1f 8b 08 00 ae a1 9b 5c 00 ff 05 40 a1 12 00 10 0c fd 26 61 5b 76 aa 9d 26 a8 02 02 37 84 f7 fb bb c5 a4 5f 22 c6 09 e5 6e c5 4c 2d 3f e9 30 a6 ea 41 a2 f2 ac 1c 00 00 00"; + self.clippyAgent.speak(`How about a fun challenge?

    Try decoding this (click to load):
    ${hex}`, true); + self.clippyAgent.play("GetAttention"); + }, 1 * 60 * 1000)); + + this.clippyTimeouts.push(setTimeout(() => { + self.clippyAgent.speak("Did you know?

    You can load files into CyberChef up to around 500MB using drag and drop or the load file button.", 15000); + self.clippyAgent.play("Wave"); + }, 2 * 60 * 1000)); + + this.clippyTimeouts.push(setTimeout(() => { + self.clippyAgent.speak("Did you know?

    You can use the 'Fork' operation to split up your input and run the recipe over each branch separately.

    Here's an example.", 15000); + self.clippyAgent.play("Print"); + }, 3 * 60 * 1000)); + + this.clippyTimeouts.push(setTimeout(() => { + self.clippyAgent.speak("Did you know?

    The 'Magic' operation uses a number of methods to detect encoded data and the operations which can be used to make sense of it. A technical description of these methods can be found here.", 15000); + self.clippyAgent.play("Alert"); + }, 4 * 60 * 1000)); + + this.clippyTimeouts.push(setTimeout(() => { + self.clippyAgent.speak("Did you know?

    You can use parts of the input as arguments to operations.

    Click here for an example.", 15000); + self.clippyAgent.play("CheckingSomething"); + }, 5 * 60 * 1000)); } } + /** * Shims various ClippyJS functions to modify behaviour. * + * @param {Clippy} clippy - The Clippy library + */ +function shimClippy(clippy) { + // Shim _loadSounds so that it doesn't actually try to load any sounds + clippy.load._loadSounds = function _loadSounds (name, path) { + let dfd = clippy.load._sounds[name]; + if (dfd) return dfd; + + // set dfd if not defined + dfd = clippy.load._sounds[name] = $.Deferred(); + + // Resolve immediately without loading + dfd.resolve({}); + + return dfd.promise(); + }; + + // Shim _loadMap so that it uses the local copy + clippy.load._loadMap = function _loadMap (path) { + let dfd = clippy.load._maps[path]; + if (dfd) return dfd; + + // set dfd if not defined + dfd = clippy.load._maps[path] = $.Deferred(); + + const src = clippyMap; + const img = new Image(); + + img.onload = dfd.resolve; + img.onerror = dfd.reject; + + // start loading the map; + img.setAttribute("src", src); + + return dfd.promise(); + }; + + // Make sure we don't request the remote map + clippy.Animator.prototype._setupElement = function _setupElement (el) { + const frameSize = this._data.framesize; + el.css("display", "none"); + el.css({ width: frameSize[0], height: frameSize[1] }); + el.css("background", "url('" + clippyMap + "') no-repeat"); + + return el; + }; +} + +/** + * Shims various ClippyJS Agent functions to modify behaviour. + * * @param {Agent} agent - The Clippy Agent */ -function shimClippy(agent) { +function shimClippyAgent(agent) { // Turn off all sounds agent._animator._playSound = () => {}; - // Improve speak function + // Improve speak function to support HTML markup const self = agent._balloon; agent._balloon.speak = (complete, text, hold) => { self._hidden = false; @@ -147,10 +283,11 @@ function shimClippy(agent) { self._complete = complete; self._sayWords(text, hold, complete); + if (hold) agent._queue.next(); }; - // Improve the _sayWords function to allow HTML - agent._balloon.WORD_SPEAK_TIME = 100; + // Improve the _sayWords function to allow HTML and support timeouts + agent._balloon.WORD_SPEAK_TIME = 60; agent._balloon._sayWords = (text, hold, complete) => { self._active = true; self._hold = hold; @@ -158,6 +295,7 @@ function shimClippy(agent) { const time = self.WORD_SPEAK_TIME; const el = self._content; let idx = 1; + clearTimeout(self.holdTimeout); self._addWord = $.proxy(function () { if (!self._active) return; @@ -167,6 +305,12 @@ function shimClippy(agent) { if (!self._hold) { complete(); self.hide(); + } else if (typeof hold === "number") { + self.holdTimeout = setTimeout(() => { + self._hold = false; + complete(); + self.hide(); + }, hold); } } else { el.html(words.slice(0, idx).join(" ")); @@ -178,10 +322,24 @@ function shimClippy(agent) { self._addWord(); }; - // Close the balloon on click + // Add break-word to balloon CSS + agent._balloon._balloon.css("word-break", "break-word"); + + // Close the balloon on click (unless it was a link) agent._balloon._balloon.click(e => { - agent._balloon._finishHideBalloon(); + if (e.target.nodeName !== "A") { + agent._balloon.hide(true); + agent._balloon._hidden = true; + } }); + + // Add function to immediately close the balloon even if it is currently doing something + agent.closeBalloonImmediately = () => { + agent._queue.clear(); + agent._balloon.hide(true); + agent._balloon._hidden = true; + agent._queue.next(); + }; } export default SeasonalWaiter; diff --git a/src/web/html/index.html b/src/web/html/index.html index 119e8ada..9d786f5b 100755 --- a/src/web/html/index.html +++ b/src/web/html/index.html @@ -591,7 +591,7 @@ What sort of things can I do with CyberChef?
    -

    There are around 200 operations in CyberChef allowing you to carry out simple and complex tasks easily. Here are some examples:

    +

    There are around 300 operations in CyberChef allowing you to carry out simple and complex tasks easily. Here are some examples:

    `; optionsBody.appendChild(optionItem); + if (!this.app.options.hasOwnProperty("clippy")) { + this.app.options.clippy = true; + } + this.manager.options.load(); } From 7d03be3a77d7aa66e0e32d986b9230023444a2de Mon Sep 17 00:00:00 2001 From: n1474335 Date: Tue, 2 Apr 2019 15:34:30 +0100 Subject: [PATCH 46/47] Dish._translate now uses ArrayBuffer as its intermediate type instead of byteArray. This should speed up operations on large files. --- src/core/Dish.mjs | 65 +++++++++++++++++++++++++++++----------------- src/core/Utils.mjs | 62 ++++++++++++++++++++++++++++++++++++++++--- 2 files changed, 100 insertions(+), 27 deletions(-) diff --git a/src/core/Dish.mjs b/src/core/Dish.mjs index 0635eb75..38247381 100755 --- a/src/core/Dish.mjs +++ b/src/core/Dish.mjs @@ -149,78 +149,75 @@ class Dish { */ async _translate(toType, notUTF8=false) { log.debug(`Translating Dish from ${Dish.enumLookup(this.type)} to ${Dish.enumLookup(toType)}`); - const byteArrayToStr = notUTF8 ? Utils.byteArrayToChars : Utils.byteArrayToUtf8; - // Convert data to intermediate byteArray type + // Convert data to intermediate ArrayBuffer type try { switch (this.type) { case Dish.STRING: - this.value = this.value ? Utils.strToByteArray(this.value) : []; + this.value = this.value ? Utils.strToArrayBuffer(this.value) : new ArrayBuffer; break; case Dish.NUMBER: - this.value = typeof this.value === "number" ? Utils.strToByteArray(this.value.toString()) : []; + this.value = typeof this.value === "number" ? Utils.strToArrayBuffer(this.value.toString()) : new ArrayBuffer; break; case Dish.HTML: - this.value = this.value ? Utils.strToByteArray(Utils.unescapeHtml(Utils.stripHtmlTags(this.value, true))) : []; + this.value = this.value ? Utils.strToArrayBuffer(Utils.unescapeHtml(Utils.stripHtmlTags(this.value, true))) : new ArrayBuffer; break; - case Dish.ARRAY_BUFFER: - // Array.from() would be nicer here, but it's slightly slower - this.value = Array.prototype.slice.call(new Uint8Array(this.value)); + case Dish.BYTE_ARRAY: + this.value = new Uint8Array(this.value).buffer; break; case Dish.BIG_NUMBER: - this.value = BigNumber.isBigNumber(this.value) ? Utils.strToByteArray(this.value.toFixed()) : []; + this.value = BigNumber.isBigNumber(this.value) ? Utils.strToArrayBuffer(this.value.toFixed()) : new ArrayBuffer; break; case Dish.JSON: - this.value = this.value ? Utils.strToByteArray(JSON.stringify(this.value, null, 4)) : []; + this.value = this.value ? Utils.strToArrayBuffer(JSON.stringify(this.value, null, 4)) : new ArrayBuffer; break; case Dish.FILE: - this.value = await Utils.readFile(this.value); - this.value = Array.prototype.slice.call(this.value); + this.value = (await Utils.readFile(this.value)).buffer; break; case Dish.LIST_FILE: this.value = await Promise.all(this.value.map(async f => Utils.readFile(f))); - this.value = this.value.map(b => Array.prototype.slice.call(b)); - this.value = [].concat.apply([], this.value); + this.value = concatenateTypedArrays(...this.value).buffer; break; default: break; } } catch (err) { - throw new DishError(`Error translating from ${Dish.enumLookup(this.type)} to byteArray: ${err}`); + throw new DishError(`Error translating from ${Dish.enumLookup(this.type)} to ArrayBuffer: ${err}`); } - this.type = Dish.BYTE_ARRAY; + this.type = Dish.ARRAY_BUFFER; - // Convert from byteArray to toType + // Convert from ArrayBuffer to toType try { switch (toType) { case Dish.STRING: case Dish.HTML: - this.value = this.value ? byteArrayToStr(this.value) : ""; + this.value = this.value ? Utils.arrayBufferToStr(this.value, !notUTF8) : ""; this.type = Dish.STRING; break; case Dish.NUMBER: - this.value = this.value ? parseFloat(byteArrayToStr(this.value)) : 0; + this.value = this.value ? parseFloat(Utils.arrayBufferToStr(this.value, !notUTF8)) : 0; this.type = Dish.NUMBER; break; - case Dish.ARRAY_BUFFER: - this.value = new Uint8Array(this.value).buffer; + case Dish.BYTE_ARRAY: + this.value = Array.prototype.slice.call(new Uint8Array(this.value)); this.type = Dish.ARRAY_BUFFER; break; case Dish.BIG_NUMBER: try { - this.value = new BigNumber(byteArrayToStr(this.value)); + this.value = new BigNumber(Utils.arrayBufferToStr(this.value, !notUTF8)); } catch (err) { this.value = new BigNumber(NaN); } this.type = Dish.BIG_NUMBER; break; case Dish.JSON: - this.value = JSON.parse(byteArrayToStr(this.value)); + this.value = JSON.parse(Utils.arrayBufferToStr(this.value, !notUTF8)); this.type = Dish.JSON; break; case Dish.FILE: this.value = new File(this.value, "unknown"); + this.type = Dish.FILE; break; case Dish.LIST_FILE: this.value = [new File(this.value, "unknown")]; @@ -230,7 +227,7 @@ class Dish { break; } } catch (err) { - throw new DishError(`Error translating from byteArray to ${Dish.enumLookup(toType)}: ${err}`); + throw new DishError(`Error translating from ArrayBuffer to ${Dish.enumLookup(toType)}: ${err}`); } } @@ -374,6 +371,26 @@ class Dish { } +/** + * Concatenates a list of Uint8Arrays together + * + * @param {Uint8Array[]} arrays + * @returns {Uint8Array} + */ +function concatenateTypedArrays(...arrays) { + let totalLength = 0; + for (const arr of arrays) { + totalLength += arr.length; + } + const result = new Uint8Array(totalLength); + let offset = 0; + for (const arr of arrays) { + result.set(arr, offset); + offset += arr.length; + } + return result; +} + /** * Dish data type enum for byte arrays. diff --git a/src/core/Utils.mjs b/src/core/Utils.mjs index 185100ab..59af74fb 100755 --- a/src/core/Utils.mjs +++ b/src/core/Utils.mjs @@ -367,6 +367,61 @@ class Utils { } + /** + * Converts a string to an ArrayBuffer. + * Treats the string as UTF-8 if any values are over 255. + * + * @param {string} str + * @returns {ArrayBuffer} + * + * @example + * // returns [72,101,108,108,111] + * Utils.strToArrayBuffer("Hello"); + * + * // returns [228,189,160,229,165,189] + * Utils.strToArrayBuffer("你好"); + */ + static strToArrayBuffer(str) { + const arr = new Uint8Array(str.length); + let i = str.length, b; + while (i--) { + b = str.charCodeAt(i); + arr[i] = b; + // If any of the bytes are over 255, read as UTF-8 + if (b > 255) return Utils.strToUtf8ArrayBuffer(str); + } + return arr.buffer; + } + + + /** + * Converts a string to a UTF-8 ArrayBuffer. + * + * @param {string} str + * @returns {ArrayBuffer} + * + * @example + * // returns [72,101,108,108,111] + * Utils.strToUtf8ArrayBuffer("Hello"); + * + * // returns [228,189,160,229,165,189] + * Utils.strToUtf8ArrayBuffer("你好"); + */ + static strToUtf8ArrayBuffer(str) { + const utf8Str = utf8.encode(str); + + if (str.length !== utf8Str.length) { + if (ENVIRONMENT_IS_WORKER()) { + self.setOption("attemptHighlight", false); + } else if (ENVIRONMENT_IS_WEB()) { + window.app.options.attemptHighlight = false; + } + } + + return Utils.strToArrayBuffer(utf8Str); + } + + /** * Converts a string to a byte array. * Treats the string as UTF-8 if any values are over 255. @@ -459,7 +514,7 @@ class Utils { /** * Attempts to convert a byte array to a UTF-8 string. * - * @param {byteArray} byteArray + * @param {byteArray|Uint8Array} byteArray * @returns {string} * * @example @@ -505,6 +560,7 @@ class Utils { static byteArrayToChars(byteArray) { if (!byteArray) return ""; let str = ""; + // String concatenation appears to be faster than an array join for (let i = 0; i < byteArray.length;) { str += String.fromCharCode(byteArray[i++]); } @@ -524,8 +580,8 @@ class Utils { * Utils.arrayBufferToStr(Uint8Array.from([104,101,108,108,111]).buffer); */ static arrayBufferToStr(arrayBuffer, utf8=true) { - const byteArray = Array.prototype.slice.call(new Uint8Array(arrayBuffer)); - return utf8 ? Utils.byteArrayToUtf8(byteArray) : Utils.byteArrayToChars(byteArray); + const arr = new Uint8Array(arrayBuffer); + return utf8 ? Utils.byteArrayToUtf8(arr) : Utils.byteArrayToChars(arr); } From 786e50c3c3742efef43ec203b9d6f2493f99ee20 Mon Sep 17 00:00:00 2001 From: n1474335 Date: Tue, 2 Apr 2019 15:34:35 +0100 Subject: [PATCH 47/47] 8.29.1 --- package-lock.json | 2 +- package.json | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/package-lock.json b/package-lock.json index 5547f2bc..bf7e8528 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,6 +1,6 @@ { "name": "cyberchef", - "version": "8.29.0", + "version": "8.29.1", "lockfileVersion": 1, "requires": true, "dependencies": { diff --git a/package.json b/package.json index 214fa3e6..9af179e3 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "cyberchef", - "version": "8.29.0", + "version": "8.29.1", "description": "The Cyber Swiss Army Knife for encryption, encoding, compression and data analysis.", "author": "n1474335 ", "homepage": "https://gchq.github.io/CyberChef",

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\ No newline at end of file diff --git a/src/web/static/clippy_assets/agents/Links/sounds-ogg.js b/src/web/static/clippy_assets/agents/Links/sounds-ogg.js new file mode 100755 index 00000000..e3f16837 --- /dev/null +++ b/src/web/static/clippy_assets/agents/Links/sounds-ogg.js @@ -0,0 +1 @@ +clippy.soundsReady('Links', 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','7':'data:audio/ogg;base64,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xZJSjJVzUjoJKXUSUiopxVhSii2kVGNpLdfSUo0txpxbjL2GlGItqdVaWqu5xVhzizX3yDlKnZTWOimtpdZqTa3V2klpLaTWYmktxtZizSnGnDMprYWWYiupxdhiyzW1mHNpLdcUY88pxp5rrLnHnIMwrdWcWss5xZh7zLHnmHMPknOUOimtdVJaS63VmlqrNZPSWmmtxpBaiy3GnFuLMWdSWiypxVhaijHFmHOLLdfQWq4pxpxTiznHWoOSsfZeWqs5xZh7iq3nmHMwNseeO0q5ltZ6Lq31XnMuQtbci2gt59RqDyrGnnPOwdjcgxCt5Zxq7D3F2HvuORjbc/Ct1uBbzUXInIPQufimezBG1dqDzLUImXMQOugidPDJeJRqLq3lXFrrPdYafM05CNFa7inG3lOLvdeem7C9ByFayz3F2IOKMfiaczA652JUrcHHnIOQtRahey9K5yCUqrUHmWtQMtcidPDF6KCLLwAAYMABACDAhDJQaMiKACBOAIBByDmlGIRKKQihhJRCKClVjEnImIOSMSellFJaCCW1ijEImWNSMsekhBJaKiW0EkppqZTSWiiltZZajCm1FkMpqYVSWiultJZaqjG1VmPEmJTMOSmZY1JKKa2VUlqrHJOSMSipg5BKKSnFUlKLlXNSMuiodBBKKqnEVFJpraTSUimlxZJSbCnFVFuLtYZSWiypxFZSajG1VFuLMdeIMSkZc1Iy56SUUlIrpbSWOSelg45K5qCkklJrpaQUM+akdA5KyiCjUlKKLaUSUyiltZJSbKWk1lqMtabUWi0ltVZSarGUEluLMdcWS02dlNZKKjGGUlprMeaaWosxlBJbKSnGkkpsrcWaW2w5hlJaLKnEVkpqsdWWY2ux5tRSjSm1mltsucaUU4+19pxaqzW1VGNrseZYW2+11pw7Ka2FUlorJcWYWouxxVhzKCW2klJspaQYW2y5thZjD6G0WEpqsaQSY2sx5hhbjqm1WltsuabUYq219hxbbj2lFmuLsebSUo01195jTTkVAAAw4AAAEGBCGSg0ZCUAEAUAABjDGGMQGqWcc05Kg5RzzknJnIMQQkqZcxBCSClzTkJKLWXOQUiptVBKSq3FFkpJqbUWCwAAKHAAAAiwQVNicYBCQ1YCAFEAAIgxSjEGoTFGKecgNMYoxRiESinGnJNQKcWYc1Ayx5yDUErmnHMQSgkhlFJKSiGEUkpJqQAAgAIHAIAAGzQlFgcoNGRFABAFAAAYY5wzziEKnaXOUiSpo9ZRayilGkuMncZWe+u50xp7bbk3lEqNqdaOa8u51d5pTT23HAsAADtwAAA7sBAKDVkJAOQBABDGKMWYc84ZhRhzzjnnDFKMOeecc4ox55yDEELFmHPOQQghc845CKGEkjnnHIQQSuicg1BKKaV0zkEIoZRSOucghFJKKZ1zEEoppZQCAIAKHAAAAmwU2ZxgJKjQkJUAQB4AAGAMQs5Jaa1hzDkILdXYMMYclJRii5yDkFKLuUbMQUgpxqA7KCm1GGzwnYSUWos5B5NSizXn3oNIqbWag8491VZzz733nGKsNefecy8AAHfBAQDswEaRzQlGggoNWQkA5AEAEAgpxZhzzhmlGHPMOeeMUowx5pxzijHGnHPOQcUYY845ByFjzDnnIISQMeaccxBC6JxzDkIIIXTOOQchhBA656CDEEIInXMQQgghhAIAgAocAAACbBTZnGAkqNCQlQBAOAAAACGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBC6JxzzjnnnHPOOeecc84555xzzjknAMi3wgHA/8HGGVaSzgpHgwsNWQkAhAMAAApBKKViEEopJZJOOimdk1BKKZGDUkrppJRSSgmllFJKCKWUUkoIHZRSQimllFJKKaWUUkoppZRSOimllFJKKaWUyjkppZNSSimlRM5JKSGUUkoppYRSSimllFJKKaWUUkoppZRSSimlhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEAgC4GxwAIBJsnGEl6axwNLjQkJUAQEgAAKAUc45KCCmUkFKomKKOQikppFJKChFjzknqHIVQUiipg8o5CKWklEIqIXXOQQclhZBSCSGVjjroKJRQUiollNI5KKWEFEpKKZWQQkipdJRSKCWVlEIqIZVSSkgllRBKCp2kVEoKqaRUUgiddJBCJyWkkkoKqZOUUiolpZRKSiV0UkIqKaUQQkqplBBKSCmlTlJJqaQUQighhZRSSiWlkkpKIZVUQgmlpJRSKKGkVFJKKaWSUikAAODAAQAgwAg6yaiyCBtNuPAAFBqyEgAgAwBAlHTWaadJIggxRZknDSnGILWkLMMQU5KJ8RRjjDkoRkMOMeSUGBdKCKGDYjwmlUPKUFG5t9Q5BcUWY3zvsRcBAAAIAgAEhAQAGCAomAEABgcIIwcCHQEEDm0AgIEImQkMCqHBQSYAPEBESAUAiQmK0oUuCCGCdBFk8cCFEzeeuOGEDm0QAAAAAAAQAPABAJBQABER0cxVWFxgZGhscHR4fICEBAAAAAAACAB8AAAkIkBERDRzFRYXGBkaGxwdHh8gIQEAAAAAAAAAAEBAQAAAAAAAIAAAAEBAT2dnUwAEcS0AAAAAAABjH59cAgAAAAMaO+sfYWl3Ul1igl5mek5YZ2GHfIF9gn1NX1h3Z2ZqZGBlXPw43FZLOwswAA6wlfsZQBFDvie0OLcaA5c/nbLsQS031fjFXyQsllVYbnkAVLP12YST8LrHh7G7r79Mn2sBAMSwPPODcFyyUZ55F7Ztvxxh/yr787HUOj+ArmMPOB7efwr8vNLaDXYWYGE3m9BOANzArQCAEmC7vbGXnNV3rTkvayxprJJOT+cPl23XtS/HIFKECek6oXP48sWD4nmpFpVnXAskQmQEABAA1Ux4cvmcYLnX+T95f+G3uJW6J43bqEiW1B89w46npwAyePxGPzrXWs5fe2UHwAggIxaQ6DgAAJQc0IOoyxe6gtgaBL6IwQCgvoeuAADQqPLXtI0KIi3xdDyxFWmGdC0BAADKGX1Pe7BgHerABDPxCLa6rcjqCJ57UiC353CTJeoayMHNiQFAD5bcwPiURWzfL75x+XyBGvzGei0tJ1cQaEGH9mCT3jEAAC2ARGOvzM3iU2p7klc6WKCZipLRr58FZEcpVAkfV6zhMLIyVEyRQgqQAgAAAHA9+UuGjEIml1PMTRS99zO1dgD8xHotHfsAAjDAbkF70A5O3QMA9D8e2t5umsdwk6XSxtBeo4b6QGq1nfJcqnPRyCAh/4yUOxR4NS3Zs3ZfDmUR+h+iSCIBA8fpUIq8ctg/EbUr/P7qBQgAhx4r/SX8yHo18OQFGGAl2uNgOycAoA0AAHe4Xz2YbP1JsE1In1jypoo4VIaLlZFzXVUqgvu07TjvvvxSr4R8hr6HInPNzMzMDAAAqJ5+jd1JzXxK/IlcVTdFg+7JETx75o93Z2tvADLIvPc+KElU4tFrZ0mwkwBTO4BOoqOwAIgctGLaBbYn9iu2J32DoU24Y27SPX1gHNZYMNCpOAAO4MHIe9dt1JwLHbwSFxAAgLvvPretIO+Xxa+e9euMV2RU4XK1UzdK2yWnLSCS//401ACcfq6r9gZ3Ulmy4B/oISg/r7KaSmgSPAD0yJoWQ2Al0AXAiwDtsRPSNGwCAA1gX7M+4SY4aDSPvmiX2X+imieWKSsRzY/KFIlhLEyMW5dCUe7uWjSDaR6MjwkhQBIKAAAgAL3puFpL8mhhWFLcfPB9d9a9OUcd9Mz40jSwBeiAtkc76VY8DEx/UwIAbRDdY9p2jW168HSz37yZc3+vTs4Mw3Nwtb1JHoZtNKkLz3qFaXyH0OrNC2/GNg88IkNcTIY4APCeyBA9mm9zCgsMULyiZSgfo2XfRlKInzMA8kfdRyemqMjRXooL4AqAERTaMLj1kRKQkyD+mZ+MjbaHHhJjrMVY3j+CUOhRjGrXAgRSRP0rDqAFYzfJYQDis/6sS9MHulrVHAg5CDDf3YbivrZAxUBCfrVCMmYrfr3a05fzkT3z1FqnHEANOzRWadlM8PocwuT2oAn82PzH6e4AAtCCvu+wD7U6gBY8XrUrZZfP71jGNCrP/R2SyV6i4lFiGC8RIQJXF25LmmGz8zFWPOsSLOpQf94Xx50QAAAAAPUeUD1+Bxr81JrIswALgRbsuoN2MosjgGlUbx8AaMEHt13uOLbPU5lYTiPy6g1o1ZBYm+OeqLie84orR0EhUUJ+P9TW/wbFYgkOAABA3kxE1tF8KmeadJuLwy1dyoID/NSsMbJ3AAtWdwCsawC0AW6b/ok7xkkzttO0VBbviSNzu1MIwzUTjkI/snetNvFHEQHkZPwkMR62f/37dO2WZTkKBHL2wqrynRLoWvKtO7t5TM3oSfY/oAFYnpk+vuS3L5tf+woAABTZB7MOOgAA2oO1AMAe4MfmBaAcHAHg+x9PPpjNhKWAvij/Ny9M9QeD2ZgrBq2AYFBEaXKleEffLUEAUlqYOqqu51vuw9ZNJbxgfFsPSEEi2C4IGIcGFu5/UYenMjS8AgB6Kf7LGQDh2VsPAHBZgBcBh0QFwDFsEHjo7AQAa6AZZo7d/ckoU7MZZ7P3GANCvkiplnf2WQcX7BdJJiam8dAHPZ0I+IipMh2qHxQFAJLY7UGNpcCLRuQwFQCN0qFSPVkGiVGaJt2a88J1GAXKAQAAiLtfAO+UAW+OraqmLFbM91UQarCowQGemD32PMB8SDhP7ZCgniSJ9YAHoBuAOWnrcMCTuD1B88IlR2sARlPbtyU1Ii8c6nz2aW7EAQAAoAaiSX/HiWm58jN+djeELxk5Zhlh8hBDo7gnCiFbo3pcAsDq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t2u21tAf7JblhaJFLHWcwQiK7jFBQoNOxnNkJ2O8+RQPPfN14dOs1/OjT9OgQuDPFeanszlOMxuhiTJPCwkOllsHGhZoFem8OaL1+3v936/1qs0iDZLZLf/zQMS0FgkGoAB+SnCyQDM5yt2UyTqOswqy/g2Q9oExIQCADWIjnYOLn6k+ha49eC7u4/IvPOiVnxjhdjH575mW2gNopERnp+uXCtXTWX4OccGrvvq8hR99+617f0XUIAyXba7a0PVs//NCxLYVCZL2XjGGloHsFUKwet9EurH40YSt3h7DvqHjPvfGrnHF2/pDM9Z2h+0M+ev/0vsZtWU60OQ3oOCxFyIcLPWTMH9SCbuBgXd6bFac+UVptp+/UvXp6MwAHttrdttQvIKOgUta//NAxL0Vqf7mXmIGmnp+IIXOFw9eXwtAMksaYswjtZejHxvyg8lg6OFisVGy5pawdC4uphMlCQYFZcuutWlDO5btVC091qWsRYnWSamLf6nalY+8QbOQC6EAcnagN/Eph5YVSniI2wP/80LEwRYBSs5eS8xwOOzaJuYLEE4GWLQoIDHR8KERasqvMhKSJhEwKCph73nUCBp56HselZUtc0g5ApuRRUmPOIQm6jTx9LqX1ejpwAJ/7/4e6ddTgWQ3aQoZQDXCAqIdB1teoL0OAoL/80DExRSQqs5eMwxMouJmbcNOqpUhBVIWUU46VDTGREBVETpiHXBkTCKQTN5t63gGLJ7V4KOKKdIMfJZLNb4QV1tehdWyZdtrbdbgPP4uDACko2UoI89dwHY3n3X/nKHCvF1i2miuIv/zQsTNFUCeoAB+Bkx3XvWmmKPnkgIOpY4oMGFBgotzia2HDayzq6N6HiwsSJAda4wLWlBf+rbQy+1fiRzyh86Qe8gq/cKe222221B9WRUVoRrWlKQweMJEhB6wCAAVAyMSQMfFPR2dyv/zQMTUFOC+tZRjxky3tvPqjuqTPMtZWEo8wNkswNA8iLBQvOrOComCIC9Uw1bVPPKGzJfSsOeozGe93d/T0bKd221u1tBrYyaQg6RzfFaw4pRNIlXhatLIFhjoC6TkB8PGuz5c9X6X//NCxNsWiM72XjMMcm2JaCMWaxIuyiipEjFyIlS9lw2fHOAMBRcnRcnR/j01/Sm634z4EAFaG9u32gVd5SLx4VoT08lSNI/DzEKuK7E8wfjA81kdKNnGZsrSnVPzvrQvciXYa5dhZQy5//NAxNwVeT7+XkjEcjIy55UoOVeMOvjhIgQ4aoY0RhcVJgsLgg9rOLyYLi4HcUuJvNyeBkqJOil2j0JVqAANtttlttDVWtkQPKb6QtJC2KA/EteDKxjQTdb6faFvkt9dbDgsWepAwQT/80LE4RPBEvZeSYZyQuIiz3IItcxVCGLIXlVgADsMUlUvbPLiS97bel9drrmWT1KK7b1mO0WV7AAMv/+ttsCDZl+KVxwdTi1KLHToBkyY1F0aeubZyG5ysMjOc6h9nDzM+oPrO3DobMf/80DE7hlRWsp+YkaUXrd97dr9vW97Rbcx6mCOp44ZndBJagPQxKpGowxlCfAN1lrXG9J8ZNO9av4QDWXje3fXBzw1pFyURMTtxXLkoZOJFzBQT/PL6SYaMKG0QcUHBQTGY2RVkRf+Uf/zQsTjFVCuxl5KzEzqFZRbNGPGFiojY9a3G9EPNHijFISLtkkvYoYN6SKNaGdFKq/+c0skauQAvtWirffUY9RzNxdXqHBokIBM6C6/XyoWQNvZkFSi/DuO7dJUzEyDM2Y97xqXecq7ZP/zQMTpFxlWxl5iTJRd02UzZho90SvSqpn2+3e2rVeee0egwBiRJry40s9TQfAF7Ay4RzhigFUJvaNs61pumzxRF75rSMPkNiLStSXbbW220Oeq6w2l3IhqjxXLxu8cCtDXKoIvXz78//NCxOcWEQrOfnpGcDWlbSBwcqhI6DsWo2ZA6TO5iVTISZAoLGkRzw8jWTFOAKVwsptdhBqnJizWaq/Vo2I60r6M6lrKlaQAHZZbJJIwHt/UGjU2WNKYbp0pYYJR/h+81d9mlpmeDYol//NAxOobsUKdkn4WcMigzdY29kM+pq3xTfSHRGgCaceC4QKLfsYoixa3veGSi5G+Tpag4wJEOucWBMfd8Us1rkXgAr/7phHuIcQ9CSDYGqM9AcGpsMEyP9QbqrRa/A7WCa3WnmbGYdv/80LE1hX5GvJeewZyh/J0tyWEdUNQuA4besAVHLDqirhYCJCq6EGVl1vUyEL6+xbU3Nss67PqlG39bXLV0ZTm2221ttA6nlEWYYh/JaEsbohL5QDm+6d9boO1l0V73I7VCqFzZxpDZw7/80DE2hWxKr5eMwZwxM3mCHyHP4GjlocIwE+PJlrH7kIHNXCFwziuO4vfklqS8V6dXKf3jcAACZofazaxg38/VbIVs4moNjjEywlUQuxY2+ctf96NAtJE3TmJQbfnz5nzGq12eTNAkv/zQsTeFZEGrZRjBnBBYuKCM6bie1M2dbaZcGwGXtaNW0VOhl7BjAza5D2jNggE5dX9zKNq+lKBAAA7fySWSQDM4Op1wpH7sfHJeIrxESSWoCuGB0iDFIrPo9/mJOgfMo3EO7rV6uz0df/zQMTjFQFy8l4xhpYkiaWeqKtWT9mNf0jsGD7oRZE13YmhFDK0qv9CG5pHYYpHNV60KoAADnLZG42Qq+ZwhaVInLD0FwjpwoCgXTisfSHjqA1G1N2T/DdTjkN6Ufv2pM1GFwY84aHD//NCxOoXOPrCfksMcDO4IcnhGlJJ/e+WiLr/t6Z5mUPkLLPkO21uUSAkERiCDuIhiWsKpVYkmikwxRoIE/Vpgf/D049748CGEazDME9gnwksFNskF82xkg04e6VP+tCXqMRxHOlFDQYj//NAxOkV8Zq+/mGElFhIUQ55YUYOAOlUeg+orMOU2mg4yVH9RQleXDNQ9D0LWILurova9lfAEAbbaSyRwBJRf86XSllFFwaiLoEZz3hw+u9RWd2xgkEQ6HtApPceVUIRXQTihwOkEvv/80LE7BnCIrJeYkaYySnAQqGTxWuKigxalmw0ss5SBW0DLeoHIaWQaPtME8VYhH26Fnaeki15YirQNB3/X22yMC91dMrckWsTIZGpkQpEpOHxPIpfgy3G2oIc2n297a+9n/3c8Mo/i0H/80DE4RR4iqDKY8xM6aezEeMCi1HBK8s0osAhAYIB+SDxeH6LHjDagCwY9UEVvR1YqrG9KGdn+qrkgEbb2y2SMB2Jq6SVWhCRWLiy6UgQlE/QQmknzyiQlQdkRZA8x0PGLBNqwmmEgf/zQMTqF5juul5KRnASz3ByGAssVDgPTxcoHnhERPxIkoKj9Lb0ijFvD72r2FTARz7aGizL9kUFbqKxJFSXWSSyQC9zqcqJJ/C0DkRaA6oHydG8qtPkQJdxBM5MQeVEB5Mw860o4BZ4//NCxOYW0R6+XkpMcJvKrali2rDO5AySTXeZIBtYBQCZs0zUuS3tQh9pT3KgOpjqpZOxFZQxAFv/5bbZQERz0Flq1A+y5koYoQDgSwwhbKT5BAKyD9JmGALATDhlRkAmUg1E1iQPDDI0//NAxOYW8MK+XkpQTGA1JAc+XqecSVDhosblxUk0pNtHxEo8tYsqx63tGoAbXpFTNmWYsTMYpLcj7hpBh2ZESGh///9sAlIo/sKAOkgwIEI6AMhAjQI4g3+M7gzxwKDGeCwbJkD4qQP/80LE5RUY1t5eSgZyTDADAaVhoCAmooQWYctomKI3gRYQcqMJJLPNseoXT6ff+jv7/to7UKY2MBmZf7b62gXvGUNEJsmrzFo0Ghwv05LYltB1VMTOkiPItFSg3FQ2iw2P2JeG07lazQj/80DE7Bjw4r7+YYZwhhc3CCXNGmQhoUFzhBomEZaylggUTNGCIGC4u9YweL4mVoUSWCtLJRF6B4x9V5XrH9G0ntdbbLJABO1lXIMGPJww1FSlpuSPomEaESxivGPnVdbx+dKF41mrGv/zQsTjFPinBx5IzE4vKesKtM94nswjJumU4FK9jTh5Yu6vTLlAdJKKG5lBlytXt6qWfv9/3sUqoAACcn1WoRrM76dsumS/ySmNScmGbwVHwGyx1jke0mRsnIWwju10jmtxULzzuyjOIv/zQMTrGTkaxx5iRnCldB5SapR0V7u7TI6NWj+pOzO1nad3ekjTa2RyN+plZ8gg7w4krLo4AZMnLV18o3sXzIBXk1sb+gKfXwbRwDiQJZkQoDtHmljRLJvkdShuaCpuEIjJfHd2fi5B//NCxOEVCWbiXkJGlkpQUbd6xoJPuOARaTbxeHkFwohx1bks7C0ZFJdSco46NU8dGoobNtuvnbNHX1KAEAyORtJaA8N9MwBHmLF2eIJAkKCk1H+MWUoVK5WslyZxaJCkYkIzS8Skfg2s//NAxOgYemKmVGIEuEiUgTJFp9ih4wyIhVt1KlOFs6fc+jm5xt0C9fc5AZFbntTi2lRB5krVpCADamq4GSluaQydnDqhzxFPGKs/lM0tzvbzttoNNYxziUxkqiwAJetcjE4JguKFLxT/80LE4RXpGrJcMkZwSKhdI0XBQUSth4XOig5qyiZAgTNzpzHLPhgqgYT3B0RhS28mfr+t5MgUcj1MXcQVqSAVtsjb6QKOv8FQQOZZsUvglAyTJSxkWzbyWW6Jd4m2Q/Q+ZEkrqGVa8zz/80DE5RWJBqpcMkZwrT4kKvm56Q5/P5SysPJaUP88Gp+KzJsyPSstRkDN6b2ouqp3tp0XW/Uq8JAM11kb6gXqGWUI4Xkr1+LhlsU6Aq4pTPHkE58CKviKyLikDBMbkpCwBsMw7cPJSv/zQsTpGFDmnlJjxnDjIAJQyuZD8DNNUnRcoAgqkeGy7mnWrLXsPn1HUWuLvNdcVmlPrcg2YWVxulFSaq22nbbbJJJALS+GEgZm6hralFFlAqEIvcGJ1Ms6RmRBhx6pGy1cXTZLOkgsE//zQMTj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\ No newline at end of file diff --git a/src/web/static/clippy_assets/agents/Genius/sounds-ogg.js b/src/web/static/clippy_assets/agents/Genius/sounds-ogg.js new file mode 100755 index 00000000..2b7dca8e --- /dev/null +++ b/src/web/static/clippy_assets/agents/Genius/sounds-ogg.js @@ -0,0 +1 @@ +clippy.soundsReady('Genius', 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','19':'data:audio/ogg;base64,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