nanomap/api/click.js

177 lines
6.5 KiB
JavaScript

import {dijkstra, haversine_distance, obvious_dijkstra, obvious_a_star} from "../tools/ShortestPath";
import {sill, sill_unwrap, noexcept} from "../tools/Debug";
import {get_row} from "../tools/Misc";
import benchmark from "../tools/PathBench";
const __spa = obvious_a_star;
function find_nearest_node_id(nodes, point) {
const [lat, lon] = point;
let min_distance = 1e100;
let res = '';
for (let node_id in nodes) {
const curr_distance = haversine_distance(nodes[node_id], point);
if (curr_distance < min_distance) {
min_distance = curr_distance;
res = node_id;
}
}
return res;
}
const shortest_path = noexcept((nodes, ways, start_point, end_point) => {
// const clean_nodes = nodes;
const count = {};
const aff = {};
const location = {};
const clean_nodes = {};
// TODO: delete this
let count1 = 0, tot = 0;
for (const way_id in ways) {
// sill_unwrap(way_id);
const st = new Set();
const [l, n] = get_row(ways, way_id);
for (let i = 0; i < n; ++i) {
l[i] = l[i].toString(); // critical
const curr = l[i];
if (st.has(curr)) continue;
st.add(curr);
if (location[curr]) {
location[curr][way_id] = i;
} else {
location[curr] = {[way_id]: i};
}
clean_nodes[curr] = nodes[curr];
if (count[curr]) {
if (count[curr] === 1) {
count1 -= 1;
}
++count[curr];
} else {
count[curr] = 1;
count1 += 1;
tot += 1;
}
if (aff[curr]) {
aff[curr][way_id] = true;
} else {
aff[curr] = {[way_id]: true};
}
}
}
sill(`One ratio: ${count1} / ${tot}`);
// sill_unwrap(aff);
const actual_start_node_id = find_nearest_node_id(clean_nodes, start_point);
const actual_end_node_id = find_nearest_node_id(clean_nodes, end_point);
// sill_unwrap(typeof (actual_start_node_id));
// sill(count);
const ch_dict = {};
const ch_dict_bench = {};
let f = 1;
// let time = 0;
for (const t in ways) {
// if (t === ways[aff[actual_start_node_id]]) sill('yes');
const [l, n] = get_row(ways, t);
// // TODO: delete this
// for (let i = 1; i < n; ++i) {
// const curr = l[i];
// const prev = l[i-1];
// const distance = haversine_distance(nodes[curr], nodes[prev]);
// if (ch_dict_bench[curr]) {
// ch_dict_bench[curr].push([prev, distance]);
// } else {
// ch_dict_bench[curr] = [[prev, distance]];
// }
// if (ch_dict_bench[prev]) {
// ch_dict_bench[prev].push([curr, distance]);
// } else {
// ch_dict_bench[prev] = [[curr, distance]];
// }
// }
// const start_time = performance.now();
let prev = '';
let distance = 0;
for (let i = 0; i < n; ++i) {
const curr = l[i];
if (i) distance += haversine_distance(nodes[curr], nodes[l[i-1]]);
// if(true) {
if (count[curr] > 1 || curr === actual_end_node_id || curr === actual_start_node_id) {
// if (curr === actual_start_node_id) sill(curr === actual_start_node_id);
if (prev !== '') {
if (ch_dict[curr]) {
ch_dict[curr].push([prev, distance]);
} else {
ch_dict[curr] = [[prev, distance]];
}
if (ch_dict[prev]) {
ch_dict[prev].push([curr, distance]);
} else {
ch_dict[prev] = [[curr, distance]];
}
}
prev = curr;
distance = 0;
}
}
// const end_time = performance.now();
// time += end_time - start_time;
}
// sill(`Preprocessing time: ${time}`);
// const clean_nodes = {};
// Object.keys(nodes).forEach((node_id) => {
// if (ch_dict[node_id]) clean_nodes[node_id] = nodes[node_id];
// });
sill(`start distance: ${haversine_distance(nodes[actual_start_node_id], start_point)}`);
sill(`dest distance: ${haversine_distance(nodes[actual_end_node_id], end_point)}`);
sill("calling __spa...");
// // TODO: delete this
// const seq = __spa(nodes, clean_nodes, ways, location, ch_dict, ch_dict_bench, count, aff, actual_start_node_id, actual_end_node_id);
const seq = __spa(clean_nodes, ways, location, ch_dict, count, aff, actual_start_node_id, actual_end_node_id);
const res = [end_point];
seq.forEach((node_id) => {
if (clean_nodes[node_id]) res.push(clean_nodes[node_id]);
});
res.push(start_point);
return res;
});
export default function handler(req, res) {
const pts = JSON.parse(req.body);
const latRange = pts.map((row) => row[0]),
lonRange = pts.map((row) => row[1]);
const minlon = Math.min(...lonRange) - 0.01, minlat = Math.min(...latRange) - 0.01,
maxlon = Math.max(...lonRange) + 0.01, maxlat = Math.max(...latRange) + 0.01;
if (haversine_distance([minlat, minlon], [maxlat, maxlon]) > 100) {
res.status(500);
sill('rejected');
return;
}
const request_uri = `https://www.overpass-api.de/api/interpreter?data=[out:json];way[highway](${minlat},${minlon},${maxlat},${maxlon});(._;>;);out body;`;
sill(`Requesting ${request_uri}`);
const fetch_debug_response = fetch(request_uri).then((response) => {
return response.json();
}).then((debug_response) => {
// sill(debug_response);
let ps = {};
let ws = {};
debug_response.elements.forEach((it) => {
if (it.type === "node") {
ps[it.id] = [it.lat, it.lon];
} else if (it.type === "way") {
ws[it.id] = it.nodes;
}
});
sill(pts.length);
const path_found = pts.length < 2 ? [] : shortest_path(ps, ws, pts[0], pts[pts.length - 1]);
res.status(200).json({
log: `Method: click\nArgs: ${pts}\nStatus: requested "${request_uri}", got response ${JSON.stringify(debug_response.elements)}`,
multipolyline: JSON.stringify(path_found),
// __debug_pts: ps
});
}).catch(e => {
console.debug(e);
res.status(500);
});
}