import { Backdrop, CircularProgress, Button, Box } from "@mui/material"; import HelpIcon from '@mui/icons-material/Help'; import Tooltip, { tooltipClasses } from '@mui/material/Tooltip'; import Typography from '@mui/material/Typography'; import RepeatIcon from '@mui/icons-material/Repeat'; import { styled } from '@mui/material/styles'; import * as d3 from "d3"; import * as d3Contour from "d3-contour"; import React, { useContext, useEffect, useRef, useState } from "react"; import TextContainer, { topicsSizeFraction } from "./TextContainer"; import { TopicsContext } from "./UploadFileContext"; import QueryView from "./QueryView"; const bunkaDocs = "bunka_docs.json"; const bunkaTopics = "bunka_topics.json"; const { REACT_APP_API_ENDPOINT } = process.env; /** * Generic tooltip */ export const HtmlTooltip = styled(({ className, ...props }) => ( ))(({ theme }) => ({ [`& .${tooltipClasses.popper}`]: { backgroundColor: '#fff', color: 'rgba(0, 0, 0, 0.87)', maxWidth: 220, fontSize: theme.typography.pxToRem(12), }, })); function MapView() { const [selectedDocument, setSelectedDocument] = useState(null); const [mapLoading, setMapLoading] = useState(false); const [topicsCentroids, setTopicsCentroids] = useState([]) const { data: apiData, isLoading: isFileProcessing } = useContext(TopicsContext); const svgRef = useRef(null); const scatterPlotContainerRef = useRef(null); const createScatterPlot = (data) => { const margin = { top: 20, right: 20, bottom: 50, left: 50, }; const plotWidth = window.innerWidth * 0.6; const plotHeight = window.innerHeight - document.getElementById("top-banner").clientHeight - 50; // Adjust the height as desired d3.select(svgRef.current).selectAll("*").remove(); const svg = d3 .select(svgRef.current) .attr("width", "100%") .attr("height", plotHeight); /** * SVG canvas group on which transforms apply. */ const g = svg.append("g") .classed("canvas", true) .attr("transform", `translate(${margin.left}, ${margin.top})`); /** * TODO Zoom. */ const zoom = d3.zoom() .scaleExtent([1, 3]) .translateExtent([[0, 0], [1000, 1000]]) .on("zoom", function ({ transform }) { g.attr( "transform", `translate(${transform.x ?? 0}, ${transform.y ?? 0}) scale(${transform.k ?? 1})` ) //positionLabels() // props.setTransform?.({ // x: transform.x, // y: transform.y, // k: transform.k // }) }); svg.call(zoom); /** * Initial zoom. */ // const defaultTransform = { k: 1 }; // const initialTransform = defaultTransform?.k != null // ? new ZoomTransform( // defaultTransform.k ?? 1, // defaultTransform.x ?? 0, // defaultTransform.y ?? 0 // ) // : d3.zoomIdentity; // svg.call(zoom.transform, initialTransform); const xMin = d3.min(data, (d) => d.x); const xMax = d3.max(data, (d) => d.x); const yMin = d3.min(data, (d) => d.y); const yMax = d3.max(data, (d) => d.y); const xScale = d3 .scaleLinear() .domain([xMin, xMax]) // Use the full range of your data .range([0, plotWidth]); const yScale = d3 .scaleLinear() .domain([yMin, yMax]) // Use the full range of your data .range([plotHeight, 0]); // Add contours const contourData = d3Contour .contourDensity() .x((d) => xScale(d.x)) .y((d) => yScale(d.y)) .size([plotWidth, plotHeight]) .bandwidth(30)( // Adjust the bandwidth as needed data, ); // Define a custom color for the contour lines const contourLineColor = "rgb(94, 163, 252)"; // Append the contour path to the SVG with a custom color g .selectAll("path.contour") .data(contourData) .enter() .append("path") .attr("class", "contour") .attr("d", d3.geoPath()) .style("fill", "none") .style("stroke", contourLineColor) // Set the contour line color to the custom color .style("stroke-width", 1); /* const circles = svg.selectAll('circle') .data(data) .enter() .append('circle') .attr('cx', (d) => xScale(d.x)) .attr('cy', (d) => yScale(d.y)) .attr('r', 5) .style('fill', 'lightblue') .on('click', (event, d) => { // Show the content and topic name of the clicked point in the text container setSelectedDocument(d); // Change the color to pink on click circles.style('fill', (pointData) => (pointData === d) ? 'pink' : 'lightblue'); }); */ const centroids = data.filter((d) => d.x_centroid && d.y_centroid); setTopicsCentroids(centroids); g .selectAll("circle.topic-centroid") .data(centroids) .enter() .append("circle") .attr("class", "topic-centroid") .attr("cx", (d) => xScale(d.x_centroid)) .attr("cy", (d) => yScale(d.y_centroid)) .attr("r", 8) // Adjust the radius as needed .style("fill", "red") // Adjust the fill color as needed .style("stroke", "black") .style("stroke-width", 2) .on("click", (event, d) => { // Show the content and topic name of the clicked topic centroid in the text container setSelectedDocument(d); }); // Add text labels for topic names g .selectAll("text.topic-label") .data(centroids) .enter() .append("text") .attr("class", "topic-label") .attr("x", (d) => xScale(d.x_centroid)) .attr("y", (d) => yScale(d.y_centroid) - 12) // Adjust the vertical position .text((d) => d.name) // Use the 'name' property for topic names .style("text-anchor", "middle"); // Center-align the text const convexHullData = data.filter((d) => d.convex_hull); for (const d of convexHullData) { const hull = d.convex_hull; const hullPoints = hull.x_coordinates.map((x, i) => [xScale(x), yScale(hull.y_coordinates[i])]); g .append("path") .datum(d3.polygonHull(hullPoints)) .attr("class", "convex-hull-polygon") .attr("d", (d1) => `M${d1.join("L")}Z`) .style("fill", "none") .style("stroke", "rgba(255, 255, 255, 0.5)") // White with 50% transparency .style("stroke-width", 2); } // Add polygons for topics. Delete if no clicking on polygons const topicsPolygons = g .selectAll("polygon.topic-polygon") .data(centroids) .enter() .append("polygon") .attr("class", "topic-polygon") .attr("points", (d) => { const hull = d.convex_hull; const hullPoints = hull.x_coordinates.map((x, i) => [xScale(x), yScale(hull.y_coordinates[i])]); return hullPoints.map((point) => point.join(",")).join(" "); }) .style("fill", "transparent") .style("stroke", "transparent") .style("stroke-width", 2); // Adjust the border width as needed let currentlyClickedPolygon = null; topicsPolygons.on("click", (event, d) => { // Reset the fill color of the previously clicked polygon to transparent light grey if (currentlyClickedPolygon !== null) { currentlyClickedPolygon.style("fill", "transparent"); currentlyClickedPolygon.style("stroke", "transparent"); } // Set the fill color of the clicked polygon to transparent light grey and add a red border const clickedPolygon = d3.select(event.target); clickedPolygon.style("fill", "rgba(200, 200, 200, 0.4)"); clickedPolygon.style("stroke", "red"); currentlyClickedPolygon = clickedPolygon; // Display the topic name and content from top_doc_content with a scroll system if (d.top_doc_content) { // Render the TextContainer component with topic details setSelectedDocument(d); } }); }; useEffect(() => { if (REACT_APP_API_ENDPOINT === "local" || apiData === undefined) { setMapLoading(true); // Fetch the JSON data locally fetch(`/${bunkaDocs}`) .then((response) => response.json()) .then((localData) => { // Fetch the local topics data and merge it with the existing data fetch(`/${bunkaTopics}`) .then((response) => response.json()) .then((topicsData) => { // Merge the topics data with the existing data const mergedData = localData.concat(topicsData); // Call the function to create the scatter plot after data is loaded createScatterPlot(mergedData); }) .catch((error) => { console.error("Error fetching topics data:", error); }) .finally(() => { setMapLoading(false); }); }) .catch((error) => { console.error("Error fetching JSON data:", error); }) .finally(() => { setMapLoading(false); }); } else { // Call the function to create the scatter plot with the data provided by TopicsContext createScatterPlot(apiData.docs.concat(apiData.topics)); } // After the data is loaded, set the default topic if (apiData && apiData.topics && apiData.topics.length > 0) { // Set the default topic to the first topic in the list setSelectedDocument(apiData.topics[0]); } }, [apiData]); const mapDescription = "This map is created by embedding documents in a two-dimensional space. Two documents are close to each other if they share similar semantic features, such as vocabulary, expressions, and language. The documents are not directly represented on the map; instead, they are grouped into clusters. A cluster is a set of documents that share similarities. A cluster is automatically described by a few words that best describes it."; return (
{(isFileProcessing || mapLoading) ? ( ) : (
{mapDescription} } followCursor >
{selectedDocument !== null ? ( <> {/* */} ) : }
)}
); } export default MapView;