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| 1 | +const {graphs, clients} = require('../graph'); |
| 2 | +const fs = require('fs') |
| 3 | +const util = require('util') |
| 4 | +const {pipeline} = require('stream') |
| 5 | +const pump = util.promisify(pipeline) |
| 6 | +var glob = require('glob'); |
| 7 | +const {Float32Buffer} = require('@rapidsai/cuda'); |
| 8 | +const {GraphCOO} = require('@rapidsai/cugraph'); |
| 9 | +const {DataFrame, Uint32} = require('@rapidsai/cudf'); |
| 10 | +const {loadEdges, loadNodes} = require('../graph/loader'); |
| 11 | + |
| 12 | +function readDataFrame(path) { |
| 13 | + let df = new DataFrame({}); |
| 14 | + if (path.indexOf('.csv', path.length - 4) !== -1) { |
| 15 | + // csv file |
| 16 | + df = DataFrame.readCSV({sources: [path], header: 0, sourceType: 'files'}); |
| 17 | + |
| 18 | + } else if (path.indexOf('.parquet', path.length - 8) !== -1) { |
| 19 | + // csv file |
| 20 | + df = DataFrame.readParquet({sources: [path]}); |
| 21 | + } |
| 22 | + if (df.names.includes('Unnamed: 0')) { df = df.cast({'Unnamed: 0': new Uint32}); } |
| 23 | + return df; |
| 24 | +} |
| 25 | + |
| 26 | +async function getNodesForGraph(asDeviceMemory, nodes, numNodes) { |
| 27 | + let nodesRes = {}; |
| 28 | + const pos = new Float32Buffer(Array.from( |
| 29 | + {length: numNodes * 2}, |
| 30 | + () => Math.random() * 1000 * (Math.random() < 0.5 ? -1 : 1), |
| 31 | + )); |
| 32 | + |
| 33 | + if (nodes.x in nodes.dataframe.names) { |
| 34 | + nodesRes.nodeXPositions = asDeviceMemory(nodes.dataframe.get(node.x).data); |
| 35 | + } else { |
| 36 | + nodesRes.nodeXPositions = pos.subarray(0, pos.length / 2); |
| 37 | + } |
| 38 | + if (nodes.y in nodes.dataframe.names) { |
| 39 | + nodesRes.nodeYPositions = asDeviceMemory(nodes.dataframe.get(node.y).data); |
| 40 | + } else { |
| 41 | + nodesRes.nodeYPositions = pos.subarray(pos.length / 2); |
| 42 | + } |
| 43 | + if (nodes.dataframe.names.includes(nodes.size)) { |
| 44 | + nodesRes.nodeRadius = asDeviceMemory(nodes.dataframe.get(nodes.size).data); |
| 45 | + } |
| 46 | + if (nodes.dataframe.names.includes(nodes.color)) { |
| 47 | + nodesRes.nodeFillColors = asDeviceMemory(nodes.dataframe.get(nodes.color).data); |
| 48 | + } |
| 49 | + if (nodes.dataframe.names.includes(nodes.id)) { |
| 50 | + nodesRes.nodeElementIndices = asDeviceMemory(nodes.dataframe.get(nodes.id).data); |
| 51 | + } |
| 52 | + return nodesRes; |
| 53 | +} |
| 54 | + |
| 55 | +async function getEdgesForGraph(asDeviceMemory, edges) { |
| 56 | + let edgesRes = {}; |
| 57 | + |
| 58 | + if (edges.dataframe.names.includes(edges.color)) { |
| 59 | + edgesRes.edgeColors = asDeviceMemory(edges.dataframe.get(edges.color).data); |
| 60 | + } |
| 61 | + if (edges.dataframe.names.includes(edges.id)) { |
| 62 | + edgesRes.edgeList = asDeviceMemory(edges.dataframe.get(edges.id).data); |
| 63 | + } |
| 64 | + if (edges.dataframe.names.includes(edges.bundle)) { |
| 65 | + edgesRes.edgeBundles = asDeviceMemory(edges.dataframe.get(edges.bundle).data); |
| 66 | + } |
| 67 | + return edgesRes; |
| 68 | +} |
| 69 | + |
| 70 | +module.exports = function(fastify, opts, done) { |
| 71 | + fastify.register(require('fastify-multipart')) |
| 72 | + fastify.register(require('fastify-cors'), |
| 73 | + { |
| 74 | + // put your options here |
| 75 | + }); |
| 76 | + |
| 77 | + // fastify.addHook('preValidation', (request, reply, done) => { |
| 78 | + // console.log('this is executed', request); |
| 79 | + // done() |
| 80 | + // }); |
| 81 | + |
| 82 | + async function loadGraph(id, data) { |
| 83 | + if (!(id in fastify[graphs])) { |
| 84 | + const asDeviceMemory = (buf) => new (buf[Symbol.species])(buf); |
| 85 | + const src = data.edges.dataframe.get(data.edges.src); |
| 86 | + const dst = data.edges.dataframe.get(data.edges.dst); |
| 87 | + const graph = new GraphCOO(src._col, dst._col, {directedEdges: true}); |
| 88 | + fastify[graphs][id] = { |
| 89 | + refCount: 0, |
| 90 | + nodes: await getNodesForGraph(asDeviceMemory, data.nodes, graph.numNodes()), |
| 91 | + edges: await getEdgesForGraph(asDeviceMemory, data.edges), |
| 92 | + graph: graph, |
| 93 | + }; |
| 94 | + } |
| 95 | + |
| 96 | + ++fastify[graphs][id].refCount; |
| 97 | + |
| 98 | + return { |
| 99 | + gravity: 0.0, |
| 100 | + linLogMode: false, |
| 101 | + scalingRatio: 5.0, |
| 102 | + barnesHutTheta: 0.0, |
| 103 | + jitterTolerance: 0.05, |
| 104 | + strongGravityMode: false, |
| 105 | + outboundAttraction: false, |
| 106 | + graph: fastify[graphs][id].graph, |
| 107 | + nodes: { |
| 108 | + ...fastify[graphs][id].nodes, |
| 109 | + length: fastify[graphs][id].graph.numNodes(), |
| 110 | + }, |
| 111 | + edges: { |
| 112 | + ...fastify[graphs][id].edges, |
| 113 | + length: fastify[graphs][id].graph.numEdges(), |
| 114 | + }, |
| 115 | + }; |
| 116 | + } |
| 117 | + |
| 118 | + fastify.get('/getIDValue', async (request, reply) => { |
| 119 | + console.log(fastify[clients][request.query.id + ':video']); |
| 120 | + reply.send(fastify[clients][request.query.id + ':video'].graph.dataframes[0].numRows); |
| 121 | + }); |
| 122 | + |
| 123 | + fastify.post('/uploadFile', async function(req, reply) { |
| 124 | + const data = await req.file(); |
| 125 | + |
| 126 | + const filepath = `${__dirname}/../../data/${data.filename}`; |
| 127 | + const target = fs.createWriteStream(filepath); |
| 128 | + try { |
| 129 | + await pump(data.file, target); |
| 130 | + console.log('success'); |
| 131 | + } catch (err) { console.log(err); } |
| 132 | + reply.send() |
| 133 | + }); |
| 134 | + |
| 135 | + fastify.get('/getFileNames', async (request, reply) => { |
| 136 | + if (`${request.query.id}:video` in fastify[clients]) { |
| 137 | + glob(`*.{csv,parquet}`, |
| 138 | + {cwd: `${__dirname}/../../data/`}, |
| 139 | + (er, files) => { reply.send(JSON.stringify(files.concat(['defaultExample']))); }); |
| 140 | + } else { |
| 141 | + reply.code(500).send('client handshake not established'); |
| 142 | + } |
| 143 | + }); |
| 144 | + |
| 145 | + fastify.get('/loadOnGPU', async (request, reply) => { |
| 146 | + const id = `${request.query.id}:video`; |
| 147 | + const filePath = `${__dirname}/../../data/` |
| 148 | + if (id in fastify[clients]) { |
| 149 | + if (fs.existsSync(`${filePath}${request.query.nodes}`) && |
| 150 | + fs.existsSync(`${filePath}${request.query.edges}`)) { |
| 151 | + fastify[clients][id].data.nodes.dataframe = |
| 152 | + await readDataFrame(`${filePath}${request.query.nodes}`); |
| 153 | + |
| 154 | + fastify[clients][id].data.edges.dataframe = |
| 155 | + await readDataFrame(`${filePath}${request.query.edges}`); |
| 156 | + } else { |
| 157 | + fastify[clients][id].data.nodes.dataframe = await loadNodes(); |
| 158 | + fastify[clients][id].data.edges.dataframe = await loadEdges(); |
| 159 | + } |
| 160 | + reply.send('successfully loaded in GPU Memory'); |
| 161 | + } |
| 162 | + else { |
| 163 | + reply.code(500).send('client handshake not established'); |
| 164 | + } |
| 165 | + }) |
| 166 | + |
| 167 | + fastify.get('/fetchDFParameters', async (request, reply) => { |
| 168 | + const id = `${request.query.id}:video`; |
| 169 | + if (id in fastify[clients]) { |
| 170 | + reply.send(JSON.stringify({ |
| 171 | + nodesParams: fastify[clients][id].data.nodes.dataframe.names.concat([null]), |
| 172 | + edgesParams: fastify[clients][id].data.edges.dataframe.names.concat([null]) |
| 173 | + })); |
| 174 | + } else { |
| 175 | + reply.code(500).send('client handshake not established'); |
| 176 | + } |
| 177 | + }); |
| 178 | + |
| 179 | + fastify.post('/updateRenderColumns', async (request, reply) => { |
| 180 | + const id = `${request.body.id}:video`; |
| 181 | + if (id in fastify[clients]) { |
| 182 | + Object.assign(fastify[clients][id].data.nodes, request.body.nodes); |
| 183 | + Object.assign(fastify[clients][id].data.edges, request.body.edges); |
| 184 | + fastify[clients][id].graph = await loadGraph('default', fastify[clients][id].data); |
| 185 | + } else { |
| 186 | + reply.code(500).send('client handshake not established'); |
| 187 | + } |
| 188 | + }); |
| 189 | + done(); |
| 190 | +} |
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