fio-l1-vienna-shapefile-recovery
Map (reference ← swipe → agent)
0:00
I'm migrating an old parcel shapefile (`parcels.shp`) into our web viewer, and a reference file `column_map.csv` is provided alongside it. Can you produce a clean GeoJSON `parcels.geojson` with the correct full column names and proper character encoding? The features should come through as Polygon or MultiPolygon.
0:00
System info
{
"adapter": "openrouter",
"model": "deepseek/deepseek-v4-flash",
"base_url": "https://openrouter.ai/api/v1"
}
0:02
Let me start by examining the files to understand what we're working with. I'll look at the column_map.csv and the shapefile.
0:02
Bash
ls -la /work/
total 56 drwxr-xr-x 1 agent agent 138 Jun 16 23:21 . drwxr-xr-x 1 root root 14 Jun 16 23:21 .. -rw-r--r-- 1 agent agent 188 Jun 16 23:21 column_map.csv -rw-r--r-- 1 agent agent 6 Jun 16 23:21 parcels.cpg -rw-r--r-- 1 agent agent 25726 Jun 16 23:21 parcels.dbf -rw-r--r-- 1 agent agent 457 Jun 16 23:21 parcels.prj -rw-r--r-- 1 agent agent 8260 Jun 16 23:21 parcels.shp -rw-r--r-- 1 agent agent 580 Jun 16 23:21 parcels.shx
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Let me examine the files to understand the data.
0:07
Read
/work/column_map.csv
1 truncated,original
2 KATASTRALG,KATASTRALGEMEINDE_NAME
3 GRUNDSTUEC,GRUNDSTUECKSNUMMER
4 EIGENTUEME,EIGENTUEMER_NAME
5 WIDMUNG_BE,WIDMUNG_BEZEICHNUNG
6 STRASSE_NA,STRASSE_NAME
7 FLAECHE_M2,FLAECHE_M2
0:07
Read
/work/parcels.cpg
1 CP1252
0:07
Read
/work/parcels.prj
1 PROJCS["MGI_Austria_Lambert",GEOGCS["GCS_MGI",DATUM["D_MGI",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",400000.0],PARAMETER["Central_Meridian",13.3333333333333],PARAMETER["Standard_Parallel_1",49.0],PARAMETER["Standard_Parallel_2",46.0],PARAMETER["Latitude_Of_Origin",47.5],UNIT["Meter",1.0]]
0:16
Let me analyze the data: 1. **column_map.csv**: Maps truncated column names (10 chars or less, shapefile limit) to full names: - KATASTRALG → KATASTRALGEMEINDE_NAME - GRUNDSTUEC → GRUNDSTUECKSNUMMER - EIGENTUEME → EIGENTUEMER_NAME - WIDMUNG_BE → WIDMUNG_BEZEICHNUNG - STRASSE_NA → STRASSE_NAME - FLAECHE_M2 → FLAECHE_M2 (same) 2. **parcels.cpg**: Character encoding is CP1252 (Windows Western European). 3. **parcels.prj**: Projection is MGI Austria Lambert (EPSG:31287 or 31285/31286?), a projected coordinate system. I need to: 1. Read the shapefile with geopandas using the correct encoding (CP1252) 2. Rename columns according to the mapping 3. Convert to WGS84 (GeoJSON standard is EPSG:4326) 4. Ensure geometries are Polygon or MultiPolygon 5. Write to GeoJSON Let me first inspect the shapefile to understand its columns.
0:16
Bash
cd /work && python3 -c "
cd /work && python3 -c "
import geopandas as gpd
gdf = gpd.read_file('parcels.shp', encoding='CP1252')
print('Columns:', list(gdf.columns))
print('Shape:', gdf.shape)
print('Geometry types:', gdf.geometry.type.value_counts().to_dict())
print()
print(gdf.head(3).to_string())
print()
print(gdf.dtypes)
"
Columns: ['KATASTRALG', 'GRUNDSTUEC', 'EIGENTUEME', 'WIDMUNG_BE', 'STRASSE_NA', 'FLAECHE_M2', 'geometry']
Shape: (60, 7)
Geometry types: {'Polygon': 60}
KATASTRALG GRUNDSTUEC EIGENTUEME WIDMUNG_BE STRASSE_NA FLAECHE_M2 geometry
0 Innere Stadt 0013/1 Müller GmbH Wohngebiet Mariahilfer Straße 750.00 POLYGON ((625700 483400, 625700 483425, 625730 483425, 625730 483400, 625700 483400))
1 Mariahilf 0020/2 Schönbrunner Bauges. m.b.H. Wohngebiet Döblinger Hauptstraße 751.25 POLYGON ((625732 483400, 625732 483425, 625762 483425, 625762 483400, 625732 483400))
2 Währing 0027/3 Müller GmbH Wohngebiet Währinger Gürtel 752.50 POLYGON ((625764 483400, 625764 483425, 625794 483425, 625794 483400, 625764 483400))
KATASTRALG str
GRUNDSTUEC str
EIGENTUEME str
WIDMUNG_BE str
STRASSE_NA str
FLAECHE_M2 float64
geometry geometry
dtype: object
0:30
Now I have all the information I need: 1. The shapefile has columns: KATASTRALG, GRUNDSTUEC, EIGENTUEME, WIDMUNG_BE, STRASSE_NA, FLAECHE_M2 2. The column_map.csv maps truncated names to full names: - KATASTRALG → KATASTRALGEMEINDE_NAME - GRUNDSTUEC → GRUNDSTUECKSNUMMER - EIGENTUEME → EIGENTUEMER_NAME - WIDMUNG_BE → WIDMUNG_BEZEICHNUNG - STRASSE_NA → STRASSE_NAME - FLAECHE_M2 → FLAECHE_M2 3. Encoding is CP1252 (from the .cpg file) 4. CRS is MGI_Austria_Lambert (projected) 5. All geometries are Polygon I need to: - Read with CP1252 encoding - Rename columns according to the map - Convert to GeoJSON with EPSG:4326 (WGS84) if desired? Or keep the original CRS? The user says "proper character encoding" - CP1252 is already handled. They want "correct full column names" - using the map. And "clean GeoJSON" - so likely reproject to WGS84 (EPSG:4326) as GeoJSON typically uses. But actually GeoJSON can be in any CRS but the spec says coordinates should be in WGS84. Let me check if the user wants WGS84. Actually, standard GeoJSON requires coordinates to be in WGS84 (EPSG:4326). Let me reproject. Let me write a script.
0:30
Write
/work/solve.py
content · 23 lines · py
import geopandas as gpd
import pandas as pd
# Read column map
col_map = pd.read_csv('/work/column_map.csv')
rename_dict = dict(zip(col_map['truncated'], col_map['original']))
print("Rename mapping:", rename_dict)
# Read shapefile with CP1252 encoding
gdf = gpd.read_file('/work/parcels.shp', encoding='CP1252')
# Rename columns (only those that exist in the dataframe)
gdf = gdf.rename(columns=rename_dict)
print("Columns after rename:", list(gdf.columns))
# Reproject to WGS84 (standard for GeoJSON)
gdf = gdf.to_crs('EPSG:4326')
# Write GeoJSON (ensure driver produces clean GeoJSON)
gdf.to_file('/work/parcels.geojson', driver='GeoJSON', encoding='utf-8')
print("Done. Output CRS:", gdf.crs)
print("Feature count:", len(gdf))Wrote /work/solve.py (734 chars).
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Let me run the script.
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Bash
cd /work && python solve.py
Rename mapping: {'KATASTRALG': 'KATASTRALGEMEINDE_NAME', 'GRUNDSTUEC': 'GRUNDSTUECKSNUMMER', 'EIGENTUEME': 'EIGENTUEMER_NAME', 'WIDMUNG_BE': 'WIDMUNG_BEZEICHNUNG', 'STRASSE_NA': 'STRASSE_NAME', 'FLAECHE_M2': 'FLAECHE_M2'}
Columns after rename: ['KATASTRALGEMEINDE_NAME', 'GRUNDSTUECKSNUMMER', 'EIGENTUEMER_NAME', 'WIDMUNG_BEZEICHNUNG', 'STRASSE_NAME', 'FLAECHE_M2', 'geometry']
Done. Output CRS: EPSG:4326
Feature count: 60
0:39
Let me verify the output file is valid GeoJSON and check the content.
0:39
Bash
cd /work && python3 -c "
cd /work && python3 -c "
import json
with open('parcels.geojson', 'r', encoding='utf-8') as f:
data = json.load(f)
print('type:', data['type'])
print('crs:', data.get('crs'))
print('features:', len(data['features']))
print()
# Show first feature
f1 = data['features'][0]
print('Properties:', json.dumps(f1['properties'], ensure_ascii=False))
print('Geometry type:', f1['geometry']['type'])
print('Coords:', f1['geometry']['coordinates'])
bash: -c: line 1: unexpected EOF while looking for matching `"'
0:47
The quoting is messed up. Let me use a script file or fix the quoting.
0:47
Write
/work/check.py
content · 8 lines · py
import json
with open('/work/parcels.geojson', 'r', encoding='utf-8') as f:
data = json.load(f)
print('type:', data['type'])
print('features:', len(data['features']))
f1 = data['features'][0]
print('Properties:', json.dumps(f1['properties'], ensure_ascii=False, indent=2))
print('Geometry type:', f1['geometry']['type'])Wrote /work/check.py (324 chars).
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