Spaces:
Runtime error
Runtime error
Merge pull request #10 from DebasishDhal/feat/wiki-geosearch
Browse files- Disable autoZooming if no nearby pages are found
- Returned randomized results if #available nearby pages > #required pages
- Disable re-autoZooming if search parameters (radius, limit) are chaged
- Add a slider to control duration it takes to zoom in on a nearby location cluster
- backend/utils.py +28 -2
- frontend/src/components/Map.js +40 -11
- main.py +22 -17
backend/utils.py
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
import math
|
|
|
|
|
2 |
def generate_circle_centers(center_lat, center_lon, radius_km, small_radius_km=10):
|
3 |
"""
|
4 |
Generate a list of centers of small circles (radius=10km) needed to cover a larger circle.
|
@@ -8,7 +10,7 @@ def generate_circle_centers(center_lat, center_lon, radius_km, small_radius_km=1
|
|
8 |
- center_lat: Latitude of the center of the larger circle
|
9 |
- center_lon: Longitude of the center of the larger circle
|
10 |
- radius_km: Radius of the larger circle in kilometers
|
11 |
-
- small_radius_km: Radius of the smaller circles in kilometers (default
|
12 |
|
13 |
Output:
|
14 |
- A list of tuples, each containing the latitude and longitude of a small circle's center. [(lat1, lon1), (lat2, lon2),...]
|
@@ -40,4 +42,28 @@ def generate_circle_centers(center_lat, center_lon, radius_km, small_radius_km=1
|
|
40 |
lon = center_lon + delta_lon
|
41 |
results.append((lat, lon))
|
42 |
|
43 |
-
return results
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
import math
|
2 |
+
import httpx
|
3 |
+
|
4 |
def generate_circle_centers(center_lat, center_lon, radius_km, small_radius_km=10):
|
5 |
"""
|
6 |
Generate a list of centers of small circles (radius=10km) needed to cover a larger circle.
|
|
|
10 |
- center_lat: Latitude of the center of the larger circle
|
11 |
- center_lon: Longitude of the center of the larger circle
|
12 |
- radius_km: Radius of the larger circle in kilometers
|
13 |
+
- small_radius_km: Radius of the smaller circles in kilometers (default 10km, more than that wiki api cannot accomodate)
|
14 |
|
15 |
Output:
|
16 |
- A list of tuples, each containing the latitude and longitude of a small circle's center. [(lat1, lon1), (lat2, lon2),...]
|
|
|
42 |
lon = center_lon + delta_lon
|
43 |
results.append((lat, lon))
|
44 |
|
45 |
+
return results
|
46 |
+
|
47 |
+
|
48 |
+
|
49 |
+
async def fetch_url(client: httpx.AsyncClient, url: str):
|
50 |
+
"""
|
51 |
+
Fetch a URL asynchronously using httpx and return the response status and data.
|
52 |
+
This function is asynchrounously used to fetch multiple URLs in parallel when search radius > 10km.
|
53 |
+
Input:
|
54 |
+
- client: httpx.AsyncClient instance
|
55 |
+
- url: URL to fetch
|
56 |
+
Output:
|
57 |
+
- A dictionary with the URL, status code, and data if available.
|
58 |
+
- Data includes the JSON format of wiki geosearch response.
|
59 |
+
If an error occurs, return a dictionary with the URL and the error message.
|
60 |
+
"""
|
61 |
+
try:
|
62 |
+
response = await client.get(url, timeout=10.0)
|
63 |
+
return {
|
64 |
+
"url": url,
|
65 |
+
"status": response.status_code,
|
66 |
+
"data": response.json() if response.status_code == 200 else None,
|
67 |
+
}
|
68 |
+
except Exception as e:
|
69 |
+
return {"url": url, "error": str(e)}
|
frontend/src/components/Map.js
CHANGED
@@ -90,9 +90,10 @@ const Map = ( { onMapClick, searchQuery, contentType, setSearchQuery, setSubmitt
|
|
90 |
const [explorationMarkers, setExplorationMarkers] = useState([]);
|
91 |
const [explorationSidebarOpen, setExplorationSidebarOpen] = useState(false);
|
92 |
const [shouldZoom, setShouldZoom] = useState(false);
|
|
|
93 |
|
94 |
// Using CenterMap component to handle centering (for summary/full apis) and for zooming (for wiki/nearby api)
|
95 |
-
const CenterMap = ({ position, coordinates, shouldZoom }) => {
|
96 |
const map = useMap();
|
97 |
useEffect(() => {
|
98 |
if (position && Array.isArray(position) && position.length === 2) {
|
@@ -102,15 +103,24 @@ const Map = ( { onMapClick, searchQuery, contentType, setSearchQuery, setSubmitt
|
|
102 |
|
103 |
|
104 |
useEffect(() => {
|
105 |
-
if (coordinates && Array.isArray(coordinates) && coordinates.length >
|
106 |
const bounds = L.latLngBounds(coordinates);
|
107 |
-
|
108 |
-
|
109 |
-
|
110 |
-
|
111 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
112 |
}
|
113 |
-
}, [coordinates, map, shouldZoom]);
|
114 |
|
115 |
return null;
|
116 |
};
|
@@ -247,9 +257,7 @@ const Map = ( { onMapClick, searchQuery, contentType, setSearchQuery, setSubmitt
|
|
247 |
|
248 |
if (res.ok) {
|
249 |
const data = await res.json();
|
250 |
-
const markers = data.pages.
|
251 |
-
page => typeof page.dist === "number" && page.dist <= explorationRadius * 1000
|
252 |
-
).map(page => ({
|
253 |
position: [page.lat, page.lon],
|
254 |
title: page.title,
|
255 |
distance: page.dist
|
@@ -616,6 +624,8 @@ const Map = ( { onMapClick, searchQuery, contentType, setSearchQuery, setSubmitt
|
|
616 |
position={markerPosition}
|
617 |
coordinates={explorationMarkers.map((marker) => marker.position)}
|
618 |
shouldZoom={shouldZoom}
|
|
|
|
|
619 |
/>
|
620 |
{baseLayer === "satellite" && (
|
621 |
<>
|
@@ -1042,6 +1052,25 @@ const Map = ( { onMapClick, searchQuery, contentType, setSearchQuery, setSubmitt
|
|
1042 |
</div>
|
1043 |
</div>
|
1044 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1045 |
<div style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
|
1046 |
<input
|
1047 |
type="checkbox"
|
|
|
90 |
const [explorationMarkers, setExplorationMarkers] = useState([]);
|
91 |
const [explorationSidebarOpen, setExplorationSidebarOpen] = useState(false);
|
92 |
const [shouldZoom, setShouldZoom] = useState(false);
|
93 |
+
const [zoomDelaySeconds, setZoomDelaySeconds] = useState(3); // Default zoom delay in seconds
|
94 |
|
95 |
// Using CenterMap component to handle centering (for summary/full apis) and for zooming (for wiki/nearby api)
|
96 |
+
const CenterMap = ({ position, coordinates, shouldZoom, setShouldZoom, zoomDelaySeconds }) => {
|
97 |
const map = useMap();
|
98 |
useEffect(() => {
|
99 |
if (position && Array.isArray(position) && position.length === 2) {
|
|
|
103 |
|
104 |
|
105 |
useEffect(() => {
|
106 |
+
if (coordinates && Array.isArray(coordinates) && coordinates.length > 1 && shouldZoom) {
|
107 |
const bounds = L.latLngBounds(coordinates);
|
108 |
+
console.log("Delay:", zoomDelaySeconds);
|
109 |
+
if (zoomDelaySeconds > 0) {
|
110 |
+
map.flyToBounds(bounds, {
|
111 |
+
padding: [50, 50],
|
112 |
+
maxZoom: 16,
|
113 |
+
duration: zoomDelaySeconds
|
114 |
+
});
|
115 |
+
} else {
|
116 |
+
map.fitBounds(bounds, {
|
117 |
+
padding: [50, 50],
|
118 |
+
maxZoom: 16
|
119 |
+
});
|
120 |
+
}
|
121 |
+
setShouldZoom(false);
|
122 |
}
|
123 |
+
}, [coordinates, map, shouldZoom, setShouldZoom, zoomDelaySeconds]);
|
124 |
|
125 |
return null;
|
126 |
};
|
|
|
257 |
|
258 |
if (res.ok) {
|
259 |
const data = await res.json();
|
260 |
+
const markers = data.pages.map(page => ({
|
|
|
|
|
261 |
position: [page.lat, page.lon],
|
262 |
title: page.title,
|
263 |
distance: page.dist
|
|
|
624 |
position={markerPosition}
|
625 |
coordinates={explorationMarkers.map((marker) => marker.position)}
|
626 |
shouldZoom={shouldZoom}
|
627 |
+
setShouldZoom={setShouldZoom}
|
628 |
+
zoomDelaySeconds={zoomDelaySeconds}
|
629 |
/>
|
630 |
{baseLayer === "satellite" && (
|
631 |
<>
|
|
|
1052 |
</div>
|
1053 |
</div>
|
1054 |
|
1055 |
+
|
1056 |
+
<div>
|
1057 |
+
<label style={{ fontWeight: 500, marginBottom: 8, display: 'block' }}>
|
1058 |
+
Zoom Delay (seconds):
|
1059 |
+
</label>
|
1060 |
+
<input
|
1061 |
+
type="range"
|
1062 |
+
min="0"
|
1063 |
+
max="5"
|
1064 |
+
step="1"
|
1065 |
+
value={zoomDelaySeconds}
|
1066 |
+
onChange={(e) => setZoomDelaySeconds(parseInt(e.target.value))}
|
1067 |
+
style={{ width: '100%' }}
|
1068 |
+
/>
|
1069 |
+
<div style={{ textAlign: 'center', marginTop: 4 }}>
|
1070 |
+
{zoomDelaySeconds} sec. zoom duration
|
1071 |
+
</div>
|
1072 |
+
</div>
|
1073 |
+
|
1074 |
<div style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
|
1075 |
<input
|
1076 |
type="checkbox"
|
main.py
CHANGED
@@ -8,7 +8,8 @@ import geopy.distance
|
|
8 |
from cachetools import TTLCache
|
9 |
import os
|
10 |
from dotenv import load_dotenv
|
11 |
-
from
|
|
|
12 |
|
13 |
load_dotenv()
|
14 |
|
@@ -161,7 +162,6 @@ def get_geodistance(payload: Geodistance):
|
|
161 |
content={"error": str(e)},
|
162 |
status_code=500
|
163 |
)
|
164 |
-
|
165 |
return JSONResponse(
|
166 |
content={
|
167 |
"distance": distance,
|
@@ -175,16 +175,7 @@ def get_geodistance(payload: Geodistance):
|
|
175 |
)
|
176 |
|
177 |
|
178 |
-
|
179 |
-
try:
|
180 |
-
response = await client.get(url, timeout=10.0)
|
181 |
-
return {
|
182 |
-
"url": url,
|
183 |
-
"status": response.status_code,
|
184 |
-
"data": response.json() if response.status_code == 200 else None,
|
185 |
-
}
|
186 |
-
except Exception as e:
|
187 |
-
return {"url": url, "error": str(e)}
|
188 |
|
189 |
@app.post("/wiki/nearby")
|
190 |
async def get_nearby_wiki_pages(payload: NearbyWikiPage):
|
@@ -217,7 +208,9 @@ async def get_nearby_wiki_pages(payload: NearbyWikiPage):
|
|
217 |
radius = payload.radius
|
218 |
limit = payload.limit
|
219 |
|
220 |
-
|
|
|
|
|
221 |
url = ("https://en.wikipedia.org/w/api.php"+"?action=query"
|
222 |
"&list=geosearch"
|
223 |
f"&gscoord={lat_center}|{lon_center}"
|
@@ -236,6 +229,9 @@ async def get_nearby_wiki_pages(payload: NearbyWikiPage):
|
|
236 |
|
237 |
pages = data.get("query", {}).get("geosearch", [])
|
238 |
|
|
|
|
|
|
|
239 |
return JSONResponse(
|
240 |
content={
|
241 |
"pages": pages,
|
@@ -248,11 +244,13 @@ async def get_nearby_wiki_pages(payload: NearbyWikiPage):
|
|
248 |
content={"error": str(e)},
|
249 |
status_code=500
|
250 |
)
|
251 |
-
|
252 |
-
|
253 |
all_pages = []
|
|
|
|
|
254 |
base_url = "https://en.wikipedia.org/w/api.php?action=query&list=geosearch&gscoord={lat}|{lon}&gsradius={small_radius_km}&gslimit={page_limit}&format=json"
|
255 |
-
urls = [base_url.format(lat=center[0], lon=center[1], small_radius_km=
|
256 |
|
257 |
print("URL Counts:", len(urls))
|
258 |
try:
|
@@ -262,19 +260,26 @@ async def get_nearby_wiki_pages(payload: NearbyWikiPage):
|
|
262 |
|
263 |
# print(results)
|
264 |
for result in results:
|
|
|
265 |
for unit in result.get("data", {}).get("query", {}).get("geosearch", []):
|
|
|
266 |
lat, lon = unit.get("lat"), unit.get("lon")
|
267 |
if lat is not None and lon is not None:
|
268 |
dist = int(geopy.distance.distance(
|
269 |
(lat_center, lon_center), (lat, lon)
|
270 |
).m)
|
271 |
-
print(dist)
|
272 |
else:
|
273 |
dist = None
|
274 |
|
|
|
|
|
|
|
275 |
unit_with_dist = {**unit, "dist": dist}
|
276 |
all_pages.append(unit_with_dist)
|
277 |
|
|
|
|
|
|
|
278 |
return JSONResponse(
|
279 |
content={
|
280 |
"pages": all_pages,
|
|
|
8 |
from cachetools import TTLCache
|
9 |
import os
|
10 |
from dotenv import load_dotenv
|
11 |
+
from random import sample
|
12 |
+
from backend.utils import generate_circle_centers, fetch_url
|
13 |
|
14 |
load_dotenv()
|
15 |
|
|
|
162 |
content={"error": str(e)},
|
163 |
status_code=500
|
164 |
)
|
|
|
165 |
return JSONResponse(
|
166 |
content={
|
167 |
"distance": distance,
|
|
|
175 |
)
|
176 |
|
177 |
|
178 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
179 |
|
180 |
@app.post("/wiki/nearby")
|
181 |
async def get_nearby_wiki_pages(payload: NearbyWikiPage):
|
|
|
208 |
radius = payload.radius
|
209 |
limit = payload.limit
|
210 |
|
211 |
+
wiki_geosearch_radius_limit_meters = 10000 # Wikipedia API limit for geosearch radius in meters
|
212 |
+
|
213 |
+
if radius <= wiki_geosearch_radius_limit_meters:
|
214 |
url = ("https://en.wikipedia.org/w/api.php"+"?action=query"
|
215 |
"&list=geosearch"
|
216 |
f"&gscoord={lat_center}|{lon_center}"
|
|
|
229 |
|
230 |
pages = data.get("query", {}).get("geosearch", [])
|
231 |
|
232 |
+
if len(pages) > limit:
|
233 |
+
pages = sample(pages, limit)
|
234 |
+
|
235 |
return JSONResponse(
|
236 |
content={
|
237 |
"pages": pages,
|
|
|
244 |
content={"error": str(e)},
|
245 |
status_code=500
|
246 |
)
|
247 |
+
|
248 |
+
elif radius > wiki_geosearch_radius_limit_meters:
|
249 |
all_pages = []
|
250 |
+
|
251 |
+
small_circle_centers = generate_circle_centers(lat_center, lon_center, radius / 1000, small_radius_km=10)
|
252 |
base_url = "https://en.wikipedia.org/w/api.php?action=query&list=geosearch&gscoord={lat}|{lon}&gsradius={small_radius_km}&gslimit={page_limit}&format=json"
|
253 |
+
urls = [base_url.format(lat=center[0], lon=center[1], small_radius_km=wiki_geosearch_radius_limit_meters, page_limit=100) for center in small_circle_centers]
|
254 |
|
255 |
print("URL Counts:", len(urls))
|
256 |
try:
|
|
|
260 |
|
261 |
# print(results)
|
262 |
for result in results:
|
263 |
+
|
264 |
for unit in result.get("data", {}).get("query", {}).get("geosearch", []):
|
265 |
+
|
266 |
lat, lon = unit.get("lat"), unit.get("lon")
|
267 |
if lat is not None and lon is not None:
|
268 |
dist = int(geopy.distance.distance(
|
269 |
(lat_center, lon_center), (lat, lon)
|
270 |
).m)
|
|
|
271 |
else:
|
272 |
dist = None
|
273 |
|
274 |
+
if (not dist) or (dist and dist > radius):
|
275 |
+
continue
|
276 |
+
|
277 |
unit_with_dist = {**unit, "dist": dist}
|
278 |
all_pages.append(unit_with_dist)
|
279 |
|
280 |
+
if len(all_pages) > limit:
|
281 |
+
all_pages = sample(all_pages, limit)
|
282 |
+
|
283 |
return JSONResponse(
|
284 |
content={
|
285 |
"pages": all_pages,
|