2d:null 2e:["$","title",null,{"children":"Asynchronous Distance Matrix - Large Requests | NB.AI Solutions Team | Observable"}] 33:T83b,async function getDM(origS, idx) { let retval = null; let dmTest = { origins: origS, destinations: origS, mode: "truck", option: "flexible", departure_time: Date.parse(inputData_a.departureTime) / 1000 }; progress.value = 0; retval = await fetch( `https://api.nextbillion.io/mdm/create?key=${apiKey}&option=flexible`, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(dmTest) } ).then((response) => response.json()); const asyncDMId = retval.task_id; let attempts = 0; while (attempts < 150) { const result = await fetch( `https://api.nextbillion.io/mdm/status?key=${apiKey}&id=${asyncDMId}`, { method: "GET", headers: {} } ).then((response) => response.json()); if (result && result.status === "task fully succeeded") { const response = await fetch(result.result_link); const csvText = await response.text(); const data_raw = await d3.csvParseRows(csvText); const numRows = data_raw.reduce((max, d) => Math.max(max, +d[0]), -Infinity) + 1; const numCols = data_raw.reduce((max, d) => Math.max(max, +d[1]), -Infinity) + 1; //const numRows = Math.max(...data_raw.map((d) => +d[0])) + 1; //const numCols = Math.max(...data_raw.map((d) => +d[1])) + 1; let rows = Array.from({ length: numRows }, () => Array.from({ length: numCols }, () => []) ); data_raw.forEach((d) => { const row = +d[0]; const col = +d[1]; const distance = +d[6]; const time = +d[7]; rows[row][col] = [distance, time]; }); const jsonData = { rows: rows }; progress.value = 0; return jsonData; } else { attempts++; progress.value += 2; await new Promise((resolve) => setTimeout(resolve, 8 * 1000)); } } //let tbl = document.getElementById("gridDM"); //tbl.innerHTML = `DM${idx} Matrix complete. (${ // inputData_a.jobs / 1 //}x${inputData_a.jobs})`; }34:T471,inputs = { const offset = new Date().getTimezoneOffset(); let newBase = new Date(new Date().getTime() + 86400 * 1000); let tmrwStart = new Date( `${newBase.toLocaleDateString("en-US")} 06:00:00 GMT${ offset >= 0 ? "+" : "" }${Math.round(offset / 60)}${ Math.abs(offset % 60) ? Math.abs(offset % 60) : "" }` ); const inputs = { departureTime: Inputs.datetime({ label: "Departure Time", value: tmrwStart.toISOString().slice(0, -1) }), jobs: Inputs.select(jobs, { label: "Number of Origin/Dests", value: "50" }), city: Inputs.select(cities, { label: "Select city", format: (x) => x.name, value: cities.find((t) => t.name === "New York") }), routeStyle: Inputs.select(routeStyles, { label: "Route Profile", format: (x) => x.name, value: routeStyles.find((t) => t.name === "Automobile") }), mode: Inputs.select( [ { name: "Standard", value: "standard" }, { name: "Flexible", value: "flexible" } ], { label: "Options", format: (x) => x.name } ) }; return inputs; }35:T5f1,cities = [ { name: "Boston", centroid: "42.357712982208874,-71.05958767980519", value: "boston" }, { name: "Berlin", centroid: "52.4652592200047,13.3964263737043", value: "berlin" }, { name: "Calgary", centroid: "42,-71", value: "calgary" }, { name: "Chicago", centroid: "39,-83", value: "chicago" }, { name: "Columbus", centroid: "39.96348377548454,-83.00164743045242", value: "columbus" }, { name: "Dallas", centroid: "39.96348377548454,-83.00164743045242", value: "dallas" }, { name: "Dublin", centroid: "39.96348377548454,-83.00164743045242", value: "dublin" }, { name: "Hyderabad", centroid: "17.448937484718762,78.47111799821214", value: "hyderabad" }, { name: "Las Vegas", centroid: "36.09523509,-115.17273704", value: "lv" }, { name: "Los Angeles", centroid: "34.01645908,-117.8443661", value: "la" }, { name: "New York", centroid: "40.717602548458224,-74.05982864151417", value: "newyork" }, { name: "Phoenix", centroid: "40,-74", value: "phoenix" }, { name: "San Francisco", centroid: "40,-74", value: "sf" }, { name: "Seattle", centroid: "47.59994783791485,-122.31117516532028", value: "seattle" }, { name: "Toronto", centroid: "43.666326997623024,-79.3889541724025", value: "toronto" }, { name: "Vancouver", centroid: "49.24913749803951,-123.11647911910258", value: "vancouver" } ]36:T957,html``37:[] 31:{"id":"f41be9e7662ebdf8","slug":"asynchronous-distance-matrix","title":"Asynchronous Distance Matrix - Large Requests","thumbnail":"02bf3dae06e30a20b0249a5ebeccf9e41f98fb7903d9288879da35635bbade38","access_level":"public","create_time":"$D2024-06-28T13:39:01.228Z","update_time":"$D2025-04-10T15:25:10.368Z","view_time":null,"first_public_time":"$D2024-07-01T15:10:31.074Z","has_unpublished_edits":null,"fork":{"id":"9b445abd3b467d82","slug":"distance-matrix","title":"Distance Matrix","owner":{"id":"05baed136f9134c1","login":"nbai","name":"NB.AI Solutions Team"}},"stars":0,"starred":false,"owner":{"type":"team","id":"05baed136f9134c1","login":"nbai","name":"NB.AI Solutions Team","avatar_url":"https://avatars-next.observableusercontent.com/7a25d1b5deb9c5290b12e4e0914aacdbd4196bb5c3a94c63a0fda0fe706d28b2","tier":"starter_2024"},"version":1104,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"bcb6b2e256659128","login":"jim-welch","name":"Jim Welch","avatar_url":"https://avatars-next.observableusercontent.com/6334ed2ccd004bd8ab34e9f05c047bf4ef291dea914767f26079d7756d073607","tier":null}],"members":[{"type":"individual","id":"bcb6b2e256659128","login":"jim-welch","name":"Jim Welch","avatar_url":"https://avatars-next.observableusercontent.com/6334ed2ccd004bd8ab34e9f05c047bf4ef291dea914767f26079d7756d073607","tier":null,"role":"editor"},{"type":"team","id":"05baed136f9134c1","login":"nbai","name":"NB.AI Solutions Team","avatar_url":"https://avatars-next.observableusercontent.com/7a25d1b5deb9c5290b12e4e0914aacdbd4196bb5c3a94c63a0fda0fe706d28b2","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"Asynchronous Distance Matrix - Large Requests","cells":[{"id":0,"value":"# Asynchronous Distance Matrix - Large Requests","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":897,"value":"viewof apiKey = secret2(\"apiKey\", {\n title: \"NextBillion.ai API Key\",\n submit: \"Set\",\n description:\n \"Contact support@nextbillion.ai to get your API key\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":57,"value":"md`NextBillion.ai’s Asynchronous Distance Matrix API computes distances and ETAs between a large set of origins and destinations — could be for one-to-many or many-to-many scenarios. The API call returns the ETAs and distances for each origin and destination pair.

Change the parameters below if you want to modify the inputs and then press the 'Request Distance Matrix' button.

Note: The first time that this is run, there will be additional latency as the infrastructure to handle this request (and subsequent requests) is initialized.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":78,"value":"viewof panel = Inputs.form(inputs, {\n template: (v) => htl.html`\n
\n
\n
\n
\n ${v.departureTime}\n ${v.city}\n ${v.jobs}\n
\n
\n\n`\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":111,"value":"{\n const button = html``;\n button.onclick = () => {\n mutable inputData_a = panel;\n let tbl2 = document.getElementById(\"gridDM\");\n tbl2.innerHTML = \"Matrix pending...\";\n //let tbl2 = document.getElementById(\"grid2\");\n //tbl2.innerHTML = \"DM2 Matrix pending...\";\n button.disabled = true;\n };\n return html`${button}`;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":788,"value":"progress = html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":589,"value":"### Time-Distance Matrix (seconds,meters)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":780,"value":"dmTTTable = {\n if (theDM) {\n yield Inputs.table(theDM.rows);\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":800,"value":"
","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":560,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":786,"value":"theDM = {\n if (inputData_a == undefined) {\n return undefined;\n }\n let originArray = [];\n let dmResult = [];\n let origS = \"\";\n let chunkCount = 0;\n\n randomInputs.pointsArray.forEach((a, idx) => {\n if (inputData_a.chunks > 1) {\n randomInputs.pointsArray.forEach((a, idx) => {\n origS += `${a.latitude},${a.longitude}|`;\n });\n chunkCount++;\n if (chunkCount === parseInt(inputData_a.chunks)) {\n origS = origS.substr(0, origS.length - 1);\n originArray.push(origS);\n origS = \"\";\n chunkCount = 0;\n }\n } else {\n origS += `${a.latitude},${a.longitude}|`;\n }\n });\n\n origS = origS.substr(0, origS.length - 1);\n originArray.push(origS);\n\n let retval = getDM(originArray[0], 0).then((data) => {\n\n return data;\n });\n\n return retval;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":256,"value":"randomInputs = {\n let retval = null;\n let jobs = inputData_a ? inputData_a.jobs : 25;\n let city = inputData_a ? inputData_a.city.value : \"la\";\n retval = await fetch(\n `https://m4aqpzp5ah6n7ilzunwyo5ma2u0ezqcc.lambda-url.us-east-2.on.aws/?region=${city}&number=${jobs}&vehicles=5&type=service`\n ).then((response) => response.json());\n return retval;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":252,"value":"jobs = [\"100\", \"200\", \"250\", \"500\", \"1000\", \"2000\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":68,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":812,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":113,"value":"mutable inputData_a = null","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"import {\n nextbillion,\n secret2,\n routeStyles\n} from \"@nbai/nextbillion-ai-dependencies\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":32,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W37","stdlib":"1","titling":"auto"}} 32:"$31:body"