geo-l1-cairo-multipoint-hull

Status: done
Score: 0.000
Duration: 0:28
Cost: 0.19¢
Model: deepseek/deepseek-v4-flash

Map (reference ← swipe → agent)

0:00
I'm putting together the accessibility report for the Metro, and its static maps need to show how far each station's underground box reaches at street level. `cairo_metro_stations.geojson` has each station's street-level entrances. Can you compute the convex hull of each station's entrances and save the result to `cairo_metro_hulls.geojson`, one Polygon per station? Every row must carry `station_name_en` and `station_name_ar`, both non-empty, with the original Arabic strings and diacritics preserved exactly as they appear in the input.
0:00
System info
{
  "adapter": "openrouter",
  "model": "deepseek/deepseek-v4-flash",
  "base_url": "https://openrouter.ai/api/v1"
}
0:03
Let me start by reading the input file to understand its structure.
0:03
Read /work/cairo_metro_stations.geojson
     1	{
     2	"type": "FeatureCollection",
     3	"name": "cairo_metro_stations",
     4	"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
     5	"features": [
     6	{ "type": "Feature", "properties": { "station_name_en": "Al-Shohadaa", "station_name_ar": "الشهداء" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.246441, 30.063109 ], [ 31.246778, 30.062428 ], [ 31.246859, 30.063158 ], [ 31.247736, 30.061538 ], [ 31.247931, 30.062636 ] ] } },
     7	{ "type": "Feature", "properties": { "station_name_en": "Attaba", "station_name_ar": "العتبة" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.246196, 30.051508 ], [ 31.246396, 30.051849 ], [ 31.246716, 30.051944 ], [ 31.246936, 30.052384 ], [ 31.247559, 30.052018 ] ] } },
     8	{ "type": "Feature", "properties": { "station_name_en": "Cairo University", "station_name_ar": "جامعة القاهرة" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.200216, 30.025256 ], [ 31.200826, 30.026512 ], [ 31.201257, 30.02592 ], [ 31.201463, 30.025147 ], [ 31.20167, 30.026648 ] ] } },
     9	{ "type": "Feature", "properties": { "station_name_en": "Dokki", "station_name_ar": "الدقي" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.211926, 30.038446 ], [ 31.212858, 30.038563 ], [ 31.213071, 30.039014 ], [ 31.213408, 30.037575 ] ] } },
    10	{ "type": "Feature", "properties": { "station_name_en": "El Demerdash", "station_name_ar": "الدمرداش" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.272726, 30.079096 ], [ 31.272841, 30.079167 ], [ 31.273817, 30.078925 ], [ 31.274032, 30.079479 ] ] } },
    11	{ "type": "Feature", "properties": { "station_name_en": "El Malek El Saleh", "station_name_ar": "الملك الصالح" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.233442, 30.019095 ], [ 31.233473, 30.018682 ], [ 31.234504, 30.017367 ], [ 31.234545, 30.017379 ] ] } },
    12	{ "type": "Feature", "properties": { "station_name_en": "El-Marg", "station_name_ar": "المرج" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.334217, 30.146468 ], [ 31.334253, 30.146538 ], [ 31.334782, 30.146493 ] ] } },
    13	{ "type": "Feature", "properties": { "station_name_en": "Ghamra", "station_name_ar": "غمرة" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.263164, 30.068985 ], [ 31.263197, 30.068259 ], [ 31.264394, 30.068864 ] ] } },
    14	{ "type": "Feature", "properties": { "station_name_en": "Hadayek El-Zaitoun", "station_name_ar": "حدائق الزيتون" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.3063, 30.122913 ], [ 31.30776, 30.123157 ], [ 31.307789, 30.122103 ], [ 31.307849, 30.12264 ] ] } },
    15	{ "type": "Feature", "properties": { "station_name_en": "Helmeyet El-Zaitoun", "station_name_ar": "حلمية الزيتون" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.302031, 30.11224 ], [ 31.302815, 30.111791 ], [ 31.303183, 30.111908 ] ] } },
    16	{ "type": "Feature", "properties": { "station_name_en": "Helwan", "station_name_ar": "حلوان" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.333401, 29.847533 ], [ 31.333518, 29.84856 ], [ 31.33383, 29.849118 ], [ 31.33423, 29.849025 ] ] } },
    17	{ "type": "Feature", "properties": { "station_name_en": "Maadi", "station_name_ar": "المعادي" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.256977, 29.960391 ], [ 31.256996, 29.961004 ], [ 31.25776, 29.95986 ], [ 31.25825, 29.959814 ], [ 31.258343, 29.961018 ] ] } },
    18	{ "type": "Feature", "properties": { "station_name_en": "Manshiet El-Sadr", "station_name_ar": "منشية الصدر" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.286919, 30.07915 ], [ 31.287036, 30.078534 ], [ 31.287853, 30.078947 ] ] } },
    19	{ "type": "Feature", "properties": { "station_name_en": "Mar Girgis", "station_name_ar": "مار جرجس" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.229596, 30.005582 ], [ 31.230357, 30.006424 ], [ 31.230863, 30.006943 ] ] } },
    20	{ "type": "Feature", "properties": { "station_name_en": "Mohamed Naguib", "station_name_ar": "محمد نجيب" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.245937, 30.043448 ], [ 31.246011, 30.042638 ], [ 31.246072, 30.042795 ], [ 31.246112, 30.043492 ] ] } },
    21	{ "type": "Feature", "properties": { "station_name_en": "Nasser", "station_name_ar": "عبد الناصر" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.243015, 30.052462 ], [ 31.243026, 30.053981 ], [ 31.244356, 30.052241 ], [ 31.244365, 30.053045 ] ] } },
    22	{ "type": "Feature", "properties": { "station_name_en": "Opera", "station_name_ar": "الأوبرا" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.223629, 30.042483 ], [ 31.22406, 30.041978 ], [ 31.224966, 30.042008 ] ] } },
    23	{ "type": "Feature", "properties": { "station_name_en": "Saad Zaghloul", "station_name_ar": "سعد زغلول" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.248006, 30.037688 ], [ 31.248884, 30.037798 ], [ 31.248954, 30.037359 ] ] } },
    24	{ "type": "Feature", "properties": { "station_name_en": "Sadat", "station_name_ar": "السادات" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.235032, 30.043948 ], [ 31.236163, 30.044623 ], [ 31.236249, 30.044071 ], [ 31.236357, 30.043795 ], [ 31.236493, 30.044874 ] ] } },
    25	{ "type": "Feature", "properties": { "station_name_en": "Sayeda Zeinab", "station_name_ar": "السيدة زينب" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 31.238434, 30.030095 ], [ 31.23933, 30.028708 ], [ 31.239612, 30.029943 ], [ 31.239711, 30.028807 ] ] } }
    26	]
    27	}
0:10
Let me analyze the data:

1. The GeoJSON contains 20 stations, each with a MultiPoint geometry of entrances
2. Each feature has `station_name_en` and `station_name_ar` properties
3. I need to compute the convex hull of each station's entrances and produce a Polygon per station
4. Output to `cairo_metro_hulls.geojson`

Let me write a Python script using geopandas and shapely to do this.
0:10
Write /work/solve.py
content · 36 lines · py
import geopandas as gpd
from shapely.geometry import MultiPoint, Polygon
from shapely.ops import unary_union
import json

# Read input
gdf = gpd.read_file("/work/cairo_metro_stations.geojson")

# Build output rows
rows = []
for _, row in gdf.iterrows():
    # The geometry is a MultiPoint; collect its coordinates
    pts = [p for p in row.geometry.geoms]
    if len(pts) >= 3:
        hull = MultiPoint(pts).convex_hull  # returns Polygon
    elif len(pts) == 2:
        # convex hull of two points is a LineString; buffer slightly to get polygon
        hull = MultiPoint(pts).convex_hull.buffer(1e-6, cap_style=3, join_style=2)
    elif len(pts) == 1:
        hull = pts[0].buffer(1e-6, cap_style=3, join_style=2)
    else:
        continue  # skip empty

    rows.append({
        "station_name_en": row["station_name_en"],
        "station_name_ar": row["station_name_ar"],
        "geometry": hull
    })

out_gdf = gpd.GeoDataFrame(rows, crs="EPSG:4326")
out_gdf.to_file("/work/cairo_metro_hulls.geojson", driver="GeoJSON")

print("Done. Wrote", len(out_gdf), "rows.")
print("Columns:", list(out_gdf.columns))
print("\nFirst rows:")
print(out_gdf[["station_name_en", "station_name_ar"]].to_string(index=False))
Wrote /work/solve.py (1217 chars).
0:13
Let me run the script.
0:13
Bash cd /work && python solve.py
Done. Wrote 20 rows.
Columns: ['station_name_en', 'station_name_ar', 'geometry']

First rows:
    station_name_en station_name_ar
        Al-Shohadaa         الشهداء
             Attaba          العتبة
   Cairo University   جامعة القاهرة
              Dokki           الدقي
       El Demerdash        الدمرداش
  El Malek El Saleh    الملك الصالح
            El-Marg           المرج
             Ghamra            غمرة
 Hadayek El-Zaitoun   حدائق الزيتون
Helmeyet El-Zaitoun   حلمية الزيتون
             Helwan           حلوان
              Maadi         المعادي
   Manshiet El-Sadr     منشية الصدر
         Mar Girgis        مار جرجس
     Mohamed Naguib       محمد نجيب
             Nasser      عبد الناصر
              Opera         الأوبرا
      Saad Zaghloul       سعد زغلول
              Sadat         السادات
      Sayeda Zeinab     السيدة زينب
0:18
All 20 stations have been processed. Let me verify the output file exists and do a quick sanity check on the geometry types.
0:18
Bash cd /work && python -c "
cd /work && python -c "
import geopandas as gpd
gdf = gpd.read_file('/work/cairo_metro_hulls.geojson')
print('Rows:', len(gdf))
print('CRS:', gdf.crs)
print('Geometry types:', gdf.geometry.geom_type.value_counts().to_dict())
print()
for _, row in gdf.iterrows():
    assert isinstance(row['station_name_en'], str) and len(row['station_name_en']) > 0
    assert isinstance(row['station_name_ar'], str) and len(row['station_name_ar']) > 0
print('All names are non-empty strings')
print()
print(gdf[['station_name_en','station_name_ar']].to_string(index=False))
"
Rows: 20
CRS: EPSG:4326
Geometry types: {'Polygon': 20}

All names are non-empty strings

    station_name_en station_name_ar
        Al-Shohadaa         الشهداء
             Attaba          العتبة
   Cairo University   جامعة القاهرة
              Dokki           الدقي
       El Demerdash        الدمرداش
  El Malek El Saleh    الملك الصالح
            El-Marg           المرج
             Ghamra            غمرة
 Hadayek El-Zaitoun   حدائق الزيتون
Helmeyet El-Zaitoun   حلمية الزيتون
             Helwan           حلوان
              Maadi         المعادي
   Manshiet El-Sadr     منشية الصدر
         Mar Girgis        مار جرجس
     Mohamed Naguib       محمد نجيب
             Nasser      عبد الناصر
              Opera         الأوبرا
      Saad Zaghloul       سعد زغلول
              Sadat         السادات
      Sayeda Zeinab     السيدة زينب
0:22
Let me verify the output file exists and check it briefly.
0:22
Bash ls -la /work/cairo_metro_hulls.geojson
-rw-r--r-- 1 agent agent 6003 Jun 18 01:20 /work/cairo_metro_hulls.geojson
0:26
Everything looks good. Let me verify the output file content once more to make sure the Arabic strings are preserved exactly.
0:26