rectify parameters and add crs to output

lidro/create_virtual_point/vectors/points_along_skeleton.py

@@ -1,29 +1,24 @@
 # -*- coding: utf-8 -*-
-""" Create severals points every 2 meters (by default) along skeleton Hydro
+""" Create several points every 2 meters (by default) along skeleton Hydro
 """
-import os
-
 import geopandas as gpd
 from shapely.geometry import Point
 from shapely.ops import linemerge
 
 
-def generate_points_along_skeleton(
-    input_folder: str, input_file: str, distance_meters: 2, crs: tuple
-) -> gpd.GeoDataFrame:
+def generate_points_along_skeleton(input_file: str, distance_meters: 2, crs: str | int) -> gpd.GeoDataFrame:
     """Create several points every 2 meters (by default) along skeleton Hydro
 
     Args:
-        input_folder (str): folder which contains Skeleton Hydro (1 file ".GeoJSON")
-        input_file (str): input filename from Skeleton Hydro
+        input_file (str): Path from Skeleton Hydro
         distance_meters (float): distance in meters between 2 consecutive points (default: 2 meters)
-        crs (tuple): a pyproj CRS object used to create the output GeoJSON file
+        crs (str | int): Make a CRS from an EPSG code : CRS WKT string
 
     Returns:
         gpd.GeoDataFrame: Points every 2 meters (by default) along skeleton hydro
     """
     # Read the input file
-    lines_gdf = gpd.read_file(os.path.join(input_folder, input_file), crs=crs)
+    lines_gdf = gpd.read_file(input_file, crs=crs)
 
     # Segmentize geometry
     lines_merged = linemerge(lines_gdf.unary_union, directed=False)
@@ -34,6 +29,6 @@ def generate_points_along_skeleton(
         for distance in range(0, int(lines_merged.length), distance_meters)
     ]
 
-    points_gdf = gpd.GeoDataFrame(geometry=list_points).explode(ignore_index=True)
+    points_gdf = gpd.GeoDataFrame(geometry=list_points, crs=crs).explode(ignore_index=True)
 
     return points_gdf