Revise geometry API for CSV

app.py

@@ -17,7 +17,7 @@ import requests
 import kml2geojson
 import folium
 import xml.etree.ElementTree as ET
-from fastapi import FastAPI, HTTPException
+from fastapi import FastAPI, HTTPException, Response
 from urllib.parse import unquote
 from pydantic import BaseModel, HttpUrl
 
@@ -381,7 +381,7 @@ def process_and_display(file_obj, url_str, buffer_m, progress=gr.Progress()):
     return m._repr_html_(), None, stats_df, dem_html, slope_html, geometry_json, buffer_geometry_json
 
 
-@app.get("/api/geometry")
+@app.get("/api/geometry1")
 def calculate_geometry_metrics(file_url: str):
     """
     Accepts a URL to a KML/GeoJSON file, calculates the area and 
@@ -422,6 +422,63 @@ def calculate_geometry_metrics(file_url: str):
         # Handle any other unexpected errors with a 500 Internal Server Error
         print(f"An unexpected error occurred in /api/geometry: {e}")
         raise HTTPException(status_code=500, detail="An unexpected server error occurred.")
+
+@app.get("/api/geometry")
+def calculate_geometry_metrics(file_url: str):
+    """
+    Accepts a URL to a KML/GeoJSON file, calculates the area and
+    perimeter of the first valid polygon, and returns the results
+    in a CSV format compatible with Google Sheets' IMPORTDATA.
+    """
+    try:
+        decoded_url = unquote(file_url)
+        input_gdf = get_gdf_from_url(decoded_url)
+
+        if input_gdf is None or input_gdf.empty:
+            raise ValueError("Could not read geometry from the provided URL.")
+
+        input_gdf = preprocess_gdf(input_gdf)
+        geometry_gdf = next((input_gdf.iloc[[i]] for i in range(len(input_gdf)) if is_valid_polygon(input_gdf.iloc[[i]])), None)
+
+        if geometry_gdf is None:
+            raise ValueError("No valid polygon found in the provided file.")
+
+        projected_gdf = to_best_crs(geometry_gdf)
+
+        # Calculate area (in hectares) and perimeter (in meters)
+        area_hectares = projected_gdf.area.item() / 10000
+        perimeter_meters = projected_gdf.length.item()
+
+        # reproject to WGS84 (EPSG:4326) for centroid
+        centroid_gdf = projected_gdf.to_crs(epsg=4326)
+        centroid_point = centroid_gdf.centroid.item()
+
+        # --- CSV Formatting ---
+        # 1. Define the header row
+        header = "area_hectares,perimeter_meters,latitude,longitude"
+
+        # 2. Define the data row, rounding the values
+        data_row = (
+            f"{round(area_hectares, 4)},"
+            f"{round(perimeter_meters, 4)},"
+            f"{round(centroid_point.y, 4)},"
+            f"{round(centroid_point.x, 4)}"
+        )
+
+        # 3. Combine header and data with a newline character
+        csv_output = f"{header}\n{data_row}"
+
+        # 4. Return the CSV string with the correct media type
+        return Response(content=csv_output, media_type="text/csv")
+
+    except ValueError as e:
+        # Handle specific errors with a 400 Bad Request
+        raise HTTPException(status_code=400, detail=str(e))
+    except Exception as e:
+        # Handle any other unexpected errors with a 500
+        print(f"An unexpected error occurred in /api/geometry: {e}")
+        raise HTTPException(status_code=500, detail="An unexpected server error occurred.")
+
             
 def calculate_indices(
     geometry_json, buffer_geometry_json, veg_indices, evi_vars, date_range,