restructured module

Dockerfile

@@ -11,10 +11,10 @@ RUN pip install --user --no-cache-dir --upgrade pip
 COPY ./requirements.txt /home/appuser/requirements.txt
 RUN pip install --user --no-cache-dir --upgrade -r /home/appuser/requirements.txt
 
-COPY geospatial-data-converter/ /home/appuser/geospatial-data-converter/
+COPY geospatial_data_converter/ /home/appuser/geospatial_data_converter/
 
 WORKDIR /workspace
 EXPOSE 7860
 
-CMD ["streamlit", "run", "/home/appuser/geospatial-data-converter/app.py", "--server.port", "7860", "--server.address", "0.0.0.0", "--server.enableXsrfProtection=false"]
+CMD ["streamlit", "run", "/home/appuser/geospatial_data_converter/app.py", "--server.port", "7860", "--server.address", "0.0.0.0", "--server.enableXsrfProtection=false"]
 #CMD ["/bin/bash"]

docker-compose.yml

@@ -9,7 +9,7 @@ services:
  working_dir: /workspace
  command: [
  "streamlit", "run",
- "/home/appuser/geospatial-data-converter/app.py",
+ "/home/appuser/geospatial_data_converter/app.py",
  "--server.port", "${APP_PORT:-7860}",
  "--server.address", "0.0.0.0",
  "--server.enableXsrfProtection=false"

{geospatial-data-converter → geospatial_data_converter}/kml_tricks.py

@@ -52,7 +52,7 @@ def parse_descriptions_to_geodf(geodf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
 
 def swap_coordinates(geometry):
  """
- Swap the latitude and longitude of Shapely Point, LineString, Polygon,
+ Swap the latitude and longitude of a shapely Point, LineString, Polygon,
  MultiPoint, MultiLineString, MultiPolygon, or LinearRing geometry.
 
  Parameters:

geospatial_data_converter/tests/test_kml.py

@@ -0,0 +1,16 @@
+import sys
+
+sys.path.append("..")
+from utils import convert, read_file
+
+
+def test_kml_coversion():
+ with open("boundary.kml", "rb") as f:
+ kml = read_file(f)
+ converted_data = convert(kml, "boundary_converted.kml", "kml")
+ with open("boundary_converted.kml", "wb") as f:
+ f.write(converted_data)
+
+
+def test_kmz_conversion():
+ pass

{geospatial-data-converter → geospatial_data_converter}/utils.py

@@ -64,9 +64,6 @@ def convert(gdf: gpd.GeoDataFrame, output_name: str, output_format: str) -> byte
  if output_format == "CSV":
  gdf.to_csv(out_path)
  else:
- # if output_format == 'KML': # need to longitude and latitude columns
- # # gdf = gdf.apply(lambda row: swap_coordinates(row), axis=1)
- # gdf['geometry'] = gdf['geometry'].apply(swap_coordinates)
  gdf.to_file(out_path, driver=output_format, engine="pyogrio")
 
  if output_format in ("ESRI Shapefile", "OpenFileGDB"):