6b66d2cef8
Sweep of 26 API files to use prefixed column names matching the database schema (e.g. BusinessID not ID, BusinessName not Name, BusinessDeliveryFlatFee not DeliveryFlatFee, ServicePointName not Name). Files fixed: auth, beacons, businesses, menu, orders, setup, stripe, tasks, and workers endpoints. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
115 lines
3.2 KiB
Text
115 lines
3.2 KiB
Text
<cfsetting showdebugoutput="false">
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<cfsetting enablecfoutputonly="true">
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<cfcontent type="application/json; charset=utf-8" reset="true">
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<cfheader name="Cache-Control" value="no-store">
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<cfscript>
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// Read JSON body for user location
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function readJsonBody() {
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var raw = getHttpRequestData().content;
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if (isNull(raw) OR len(trim(raw)) EQ 0) return {};
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try {
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var data = deserializeJSON(raw);
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if (isStruct(data)) return data;
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return {};
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} catch (any e) {
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return {};
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}
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}
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// Haversine formula to calculate distance in miles
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function haversineDistance(lat1, lng1, lat2, lng2) {
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var R = 3959; // Earth radius in miles
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var dLat = (lat2 - lat1) * 3.14159265359 / 180;
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var dLng = (lng2 - lng1) * 3.14159265359 / 180;
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var a = sin(dLat/2) * sin(dLat/2) +
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cos(lat1 * 3.14159265359 / 180) * cos(lat2 * 3.14159265359 / 180) *
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sin(dLng/2) * sin(dLng/2);
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// Clamp a to avoid NaN from sqrt of negative or division by zero
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if (a < 0) a = 0;
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if (a > 1) a = 1;
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var c = 2 * asin(sqr(a));
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return R * c;
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}
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try {
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data = readJsonBody();
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userLat = structKeyExists(data, "lat") ? val(data.lat) : 0;
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userLng = structKeyExists(data, "lng") ? val(data.lng) : 0;
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hasUserLocation = (userLat != 0 AND userLng != 0);
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// Get businesses with their address coordinates (exclude demo and private)
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q = queryExecute(
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"
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SELECT
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b.BusinessID,
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b.BusinessName,
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a.AddressLat,
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a.AddressLng,
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a.AddressCity,
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a.AddressLine1
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FROM Businesses b
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LEFT JOIN Addresses a ON b.BusinessAddressID = a.AddressID
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WHERE (b.BusinessIsDemo = 0 OR b.BusinessIsDemo IS NULL)
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AND (b.BusinessIsPrivate = 0 OR b.BusinessIsPrivate IS NULL)
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ORDER BY b.BusinessName
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",
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[],
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{ datasource = "payfrit" }
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);
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// Convert query -> array of structs with distance
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rows = [];
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for (i = 1; i <= q.recordCount; i++) {
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row = {
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"BusinessID": q.BusinessID[i],
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"Name": q.BusinessName[i],
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"City": isNull(q.AddressCity[i]) ? "" : q.AddressCity[i],
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"Line1": isNull(q.AddressLine1[i]) ? "" : q.AddressLine1[i]
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};
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// Calculate distance if we have both user location and business location
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bizLat = isNull(q.AddressLat[i]) ? 0 : val(q.AddressLat[i]);
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bizLng = isNull(q.AddressLng[i]) ? 0 : val(q.AddressLng[i]);
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if (hasUserLocation AND bizLat != 0 AND bizLng != 0) {
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row["DistanceMiles"] = haversineDistance(userLat, userLng, bizLat, bizLng);
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} else {
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row["DistanceMiles"] = 99999; // No location = sort to end
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}
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arrayAppend(rows, row);
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}
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// Sort by distance if user location provided
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if (hasUserLocation) {
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arraySort(rows, function(a, b) {
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return compare(a.DistanceMiles, b.DistanceMiles);
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});
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}
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// Limit to 20 nearest restaurants
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if (arrayLen(rows) > 20) {
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rows = arraySlice(rows, 1, 20);
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}
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// Provide BOTH keys to satisfy any Flutter casing expectation
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try{logPerf(0);}catch(any e){}
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writeOutput(serializeJSON({
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"OK": true,
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"ERROR": "",
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"VERSION": "businesses_list_v5",
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"BUSINESSES": rows,
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"Businesses": rows
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}));
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abort;
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} catch (any e) {
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apiAbort({
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"OK": false,
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"ERROR": "server_error",
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"DETAIL": e.message
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});
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}
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</cfscript>
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