fio-l1-vienna-shapefile-recovery

Status: done
Score: 96
Duration: 0:56
Cost: 0.28¢
Model: google/gemma-4-26b-a4b-it

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": "google/gemma-4-26b-a4b-it",
  "base_url": "https://openrouter.ai/api/v1"
}
0:03
Bash ls -F
column_map.csv
parcels.cpg
parcels.dbf
parcels.prj
parcels.shp
parcels.shx
0:04
Read 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
0:25
Write /work/solve.py
content · 98 lines · py
import geopandas as gpd
import pandas as pd
import json

def main():
    # Load the column mapping
    # The CSV seems to have a leading space and some potential issues with header/content
    # Based on the Read output:
    # 1	truncated,original
    # 2	KATASTRALG,KATASTRALGEMEINDE_NAME
    # ...
    # It looks like it might be a CSV where the first line is a header.
    # Let's try reading it with pandas.
    
    mapping_df = pd.read_csv('column_map.csv')
    # Rename columns if necessary, but based on 'Read', it looks like:
    # index, truncated, original
    
    # Create a dictionary for mapping: {truncated_name: original_name}
    # We need to make sure we skip the first row if it's just a header.
    # Looking at the 'Read' output:
    # 1	truncated,original
    # This means the first line is "truncated,original". 
    # Wait, the line numbers in 'Read' are 1-indexed.
    # line 1: truncated,original
    # line 2: KATASTRALG,KATASTRALGEMEINDE_NAME
    # It seems the file has no index column in the CSV itself, 
    # but the 'Read' tool added line numbers.
    
    # Let's inspect the first few lines properly to be sure about the structure.
    mapping_dict = {}
    for _, row in mapping_df.iterrows():
        # Based on 'Read' output:
        # line 1: truncated,original (This is the header)
        # line 2: KATASTRALG,KATASTRALGEMEINDE_NAME
        # So column 0 is 'truncated', column 1 is 'original'
        # But wait, the first line of Read says "1 truncated,original".
        # If 'truncated,original' is the first line, then column 0 is 'truncated' and column 1 is 'original'.
        
        # However, if the file actually starts with 1	truncated,original
        # it might mean there's an extra column or it's just how 'Read' presents it.
        # Let's assume the CSV has columns 'truncated' and 'original'.
        if pd.notna(row['truncated']) and pd.notna(row['original']):
            # The first row might be the header if it contains 'truncated'
            if row['truncated'] == 'truncated':
                continue
            mapping_dict[str(row['truncated'])] = str(row['original'])

    print(f"Mapping dictionary: {mapping_dict}")

    # Load the shapefile
    gdf = gpd.read_file('parcels.shp')
    print("Shapefile loaded.")
    print(f"Original columns: {gdf.columns.tolist()}")

    # Rename columns based on the mapping
    # We want the 'original' names (the values in the dictionary)
    # The mapping is {truncated_name: original_name}
    
    # Create a new dataframe with renamed columns
    # We only keep columns that are in the mapping or are the geometry column
    new_columns = {}
    for col in gdf.columns:
        if col in mapping_dict:
            new_columns[col] = mapping_dict[col]
        elif col == 'geometry':
            new_columns[col] = 'geometry'
        else:
            # If it's not in the mapping, should we keep it? 
            # The prompt says "with the correct full column names". 
            # Usually this implies using the mapping for what's provided.
            # Let's keep other columns as they are, or drop them if "clean" implies only mapped ones.
            # "produce a clean GeoJSON ... with the correct full column names" 
            # suggests we should use the mapping.
            new_columns[col] = col

    gdf = gdf.rename(columns=new_columns)
    
    # Ensure features are Polygon or MultiPolygon
    # Geopandas usually handles this, but let's check.
    # If there are any geometries that are not Polygons/MultiPolygons, we might want to filter them.
    # But the prompt says "The features should come through as Polygon or MultiPolygon".
    # This might imply filtering or ensuring they are valid.
    
    # Filtering for only Polygon and MultiPolygon
    gdf = gdf[gdf.geometry.type.isin(['Polygon', 'MultiPolygon'])]
    
    print(f"Columns after renaming: {gdf.columns.tolist()}")
    print(f"Number of features: {len(gdf)}")

    # Save to GeoJSON
    # GeoJSON supports UTF-8 by default.
    gdf.to_file('parcels.geojson', driver='GeoJSON')
    print("Successfully saved to parcels.geojson")

if __name__ == "__main__":
    main()
Wrote /work/solve.py (4174 chars).
0:26
Bash python solve.py
Mapping dictionary: {'KATASTRALG': 'KATASTRALGEMEINDE_NAME', 'GRUNDSTUEC': 'GRUNDSTUECKSNUMMER', 'EIGENTUEME': 'EIGENTUEMER_NAME', 'WIDMUNG_BE': 'WIDMUNG_BEZEICHNUNG', 'STRASSE_NA': 'STRASSE_NAME', 'FLAECHE_M2': 'FLAECHE_M2'}
Shapefile loaded.
Original columns: ['KATASTRALG', 'GRUNDSTUEC', 'EIGENTUEME', 'WIDMUNG_BE', 'STRASSE_NA', 'FLAECHE_M2', 'geometry']
Columns after renaming: ['KATASTRALGEMEINDE_NAME', 'GRUNDSTUECKSNUMMER', 'EIGENTUEMER_NAME', 'WIDMUNG_BEZEICHNUNG', 'STRASSE_NAME', 'FLAECHE_M2', 'geometry']
Number of features: 60
Successfully saved to parcels.geojson
0:36
Bash head -n 20 parcels.geojson
{
"type": "FeatureCollection",
"name": "parcels",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:EPSG::31287" } },
"features": [
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Innere Stadt", "GRUNDSTUECKSNUMMER": "0013/1", "EIGENTUEMER_NAME": "Müller GmbH", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Mariahilfer Straße", "FLAECHE_M2": 750.0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625700.0, 483400.0 ], [ 625700.0, 483425.0 ], [ 625730.0, 483425.0 ], [ 625730.0, 483400.0 ], [ 625700.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Mariahilf", "GRUNDSTUECKSNUMMER": "0020/2", "EIGENTUEMER_NAME": "Schönbrunner Bauges. m.b.H.", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Döblinger Hauptstraße", "FLAECHE_M2": 751.25 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625732.0, 483400.0 ], [ 625732.0, 483425.0 ], [ 625762.0, 483425.0 ], [ 625762.0, 483400.0 ], [ 625732.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Währing", "GRUNDSTUECKSNUMMER": "0027/3", "EIGENTUEMER_NAME": "Müller GmbH", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Währinger Gürtel", "FLAECHE_M2": 752.5 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625764.0, 483400.0 ], [ 625764.0, 483425.0 ], [ 625794.0, 483425.0 ], [ 625794.0, 483400.0 ], [ 625764.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Döbling", "GRUNDSTUECKSNUMMER": "0034/4", "EIGENTUEMER_NAME": "Schönbrunner Bauges. m.b.H.", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Höfergasse", "FLAECHE_M2": 753.75 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625796.0, 483400.0 ], [ 625796.0, 483425.0 ], [ 625826.0, 483425.0 ], [ 625826.0, 483400.0 ], [ 625796.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Hütteldorf", "GRUNDSTUECKSNUMMER": "0041/5", "EIGENTUEMER_NAME": "Müller GmbH", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Schönbrunner Allee", "FLAECHE_M2": 755.0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625828.0, 483400.0 ], [ 625828.0, 483425.0 ], [ 625858.0, 483425.0 ], [ 625858.0, 483400.0 ], [ 625828.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Floridsdorf", "GRUNDSTUECKSNUMMER": "0048/6", "EIGENTUEMER_NAME": "Schönbrunner Bauges. m.b.H.", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Bäckerstraße", "FLAECHE_M2": 750.0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625860.0, 483400.0 ], [ 625860.0, 483425.0 ], [ 625890.0, 483425.0 ], [ 625890.0, 483400.0 ], [ 625860.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Brigittenau", "GRUNDSTUECKSNUMMER": "0055/7", "EIGENTUEMER_NAME": "Müller GmbH", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Naschmarkt", "FLAECHE_M2": 751.25 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625892.0, 483400.0 ], [ 625892.0, 483425.0 ], [ 625922.0, 483425.0 ], [ 625922.0, 483400.0 ], [ 625892.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Schönbrunn", "GRUNDSTUECKSNUMMER": "0062/8", "EIGENTUEMER_NAME": "Schönbrunner Bauges. m.b.H.", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Mariahilfer Straße", "FLAECHE_M2": 752.5 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625924.0, 483400.0 ], [ 625924.0, 483425.0 ], [ 625954.0, 483425.0 ], [ 625954.0, 483400.0 ], [ 625924.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Innere Stadt", "GRUNDSTUECKSNUMMER": "0069/9", "EIGENTUEMER_NAME": "Müller GmbH", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Döblinger Hauptstraße", "FLAECHE_M2": 753.75 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625956.0, 483400.0 ], [ 625956.0, 483425.0 ], [ 625986.0, 483425.0 ], [ 625986.0, 483400.0 ], [ 625956.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Mariahilf", "GRUNDSTUECKSNUMMER": "0076/1", "EIGENTUEMER_NAME": "Schönbrunner Bauges. m.b.H.", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Währinger Gürtel", "FLAECHE_M2": 755.0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625988.0, 483400.0 ], [ 625988.0, 483425.0 ], [ 626018.0, 483425.0 ], [ 626018.0, 483400.0 ], [ 625988.0, 483400.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Währing", "GRUNDSTUECKSNUMMER": "0083/2", "EIGENTUEMER_NAME": "Müller GmbH", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Höfergasse", "FLAECHE_M2": 750.0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625700.5, 483427.0 ], [ 625700.5, 483452.0 ], [ 625730.5, 483452.0 ], [ 625730.5, 483427.0 ], [ 625700.5, 483427.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Döbling", "GRUNDSTUECKSNUMMER": "0090/3", "EIGENTUEMER_NAME": "Schönbrunner Bauges. m.b.H.", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Schönbrunner Allee", "FLAECHE_M2": 751.25 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625732.5, 483427.0 ], [ 625732.5, 483452.0 ], [ 625762.5, 483452.0 ], [ 625762.5, 483427.0 ], [ 625732.5, 483427.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Hütteldorf", "GRUNDSTUECKSNUMMER": "0097/4", "EIGENTUEMER_NAME": "Müller GmbH", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Bäckerstraße", "FLAECHE_M2": 752.5 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625764.5, 483427.0 ], [ 625764.5, 483452.0 ], [ 625794.5, 483452.0 ], [ 625794.5, 483427.0 ], [ 625764.5, 483427.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Floridsdorf", "GRUNDSTUECKSNUMMER": "0104/5", "EIGENTUEMER_NAME": "Schönbrunner Bauges. m.b.H.", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Naschmarkt", "FLAECHE_M2": 753.75 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625796.5, 483427.0 ], [ 625796.5, 483452.0 ], [ 625826.5, 483452.0 ], [ 625826.5, 483427.0 ], [ 625796.5, 483427.0 ] ] ] } },
{ "type": "Feature", "properties": { "KATASTRALGEMEINDE_NAME": "Brigittenau", "GRUNDSTUECKSNUMMER": "0111/6", "EIGENTUEMER_NAME": "Müller GmbH", "WIDMUNG_BEZEICHNUNG": "Wohngebiet", "STRASSE_NAME": "Mariahilfer Straße", "FLAECHE_M2": 755.0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 625828.5, 483427.0 ], [ 625828.5, 483452.0 ], [ 625858.5, 483452.0 ], [ 625858.5, 483427.0 ], [ 625828.5, 483427.0 ] ] ] } },
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