dd-l1-capetown-clinics-bbox

Status: done
Score: 1.000
Duration: 1:10
Cost: 0.09¢
Model: google/gemma-4-26b-a4b-it

Map (reference ← swipe → agent)

0:00
I'm about to push the `capetown_clinics.csv` export through to our case-management system and I want a quick inventory check first. Can you produce a small JSON file with the total clinic count, the overall bounding box as a bbox array, and the count per subdistrict, so I can confirm every health subdistrict is represented? Please write it to `clinic_inventory.json` with keys `count`, `bbox`, and `count_per_subdistrict`.
0:00
System info 
{
  "adapter": "openrouter",
  "model": "google/gemma-4-26b-a4b-it",
  "base_url": "https://openrouter.ai/api/v1"
}
0:07
Bash ls -F 
capetown_clinics.csv
0:19
Bash head -n 5 capetown_clinics.csv 
clinic_id,name,subdistrict,wkt_geom
1,Mokoena Western Clinic,Western,POINT(18.478309 -33.888756)
2,Ndlovu Western Clinic,Western,POINT(18.421127 -33.924929)
3,Pieterse Western Clinic,Western,POINT(18.389237 -33.976099)
4,van der Merwe Western Clinic,Western,POINT(18.47354 -33.890933)
0:34
Write /work/solve.py
content · 38 lines · py 
import pandas as pd
import json
from shapely import wkt
from shapely.geometry import MultiPoint

def solve():
    # Load the CSV
    df = pd.read_csv('capetown_clinics.csv')

    # Parse the wkt_geom column into shapely objects
    df['geometry'] = df['wkt_geom'].apply(wkt.loads)

    # Total count
    total_count = len(df)

    # Bounding box
    # Collect all points
    points = [row.geometry for idx, row in df.iterrows()]
    multipoint = MultiPoint(points)
    bbox = list(multipoint.bounds) # [minx, miny, maxx, maxy]

    # Count per subdistrict
    count_per_subdistrict = df['subdistrict'].value_counts().to_dict()

    # Create the dictionary for JSON
    inventory = {
        "count": int(total_count),
        "bbox": bbox,
        "count_per_subdistrict": {k: int(v) for k, v in count_per_subdistrict.items()}
    }

    # Write to JSON
    with open('clinic_inventory.json', 'w') as f:
        json.dump(inventory, f, indent=4)

if __name__ == "__main__":
    solve()

Wrote /work/solve.py (986 chars).
0:46
Bash python solve.py
(no output)
0:49
Bash cat clinic_inventory.json 
{
    "count": 80,
    "bbox": [
        18.380309,
        -34.073855,
        18.819549,
        -33.701317
    ],
    "count_per_subdistrict": {
        "Western": 12,
        "Southern": 12,
        "Tygerberg": 11,
        "Northern": 10,
        "Eastern": 10,
        "Klipfontein": 9,
        "Mitchells Plain": 8,
        "Khayelitsha": 8
    }
}
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