Make ipytree optional (#2295)

Author: giswqs

geemap/common.py

@@ -23,7 +23,7 @@
 
 import ee
 import ipywidgets as widgets
-from ipytree import Node, Tree
+
 from typing import Union, List, Dict, Optional, Any
 
 from .coreutils import *
@@ -4359,6 +4359,7 @@ def build_api_tree(api_dict, output_widget, layout_width="100%"):
     Returns:
         tuple: Returns a tuple containing two items: a tree Output widget and a tree dictionary.
     """
+    from ipytree import Node, Tree
 
     warnings.filterwarnings("ignore")
 
@@ -4412,6 +4413,7 @@ def search_api_tree(keywords, api_tree):
     Returns:
         object: An ipytree object/widget.
     """
+    from ipytree import Tree
 
     warnings.filterwarnings("ignore")
 
@@ -4578,6 +4580,8 @@ def ee_user_id():
 
 
 def build_asset_tree(limit=100):
+
+    from ipytree import Node, Tree
     import geeadd.ee_report as geeadd
 
     warnings.filterwarnings("ignore")
@@ -4825,6 +4829,7 @@ def file_browser(
         object: An ipywidget.
     """
     import platform
+    from ipytree import Node, Tree
 
     if in_dir is None:
         in_dir = os.getcwd()

geemap/coreutils.py

@@ -6,7 +6,6 @@
 
 import ee
 import ipywidgets as widgets
-from ipytree import Node, Tree
 
 try:
     from IPython.display import display, Javascript
@@ -245,7 +244,7 @@ def get_info(
     layer_name: str = "",
     opened: bool = False,
     return_node: bool = False,
-) -> Union[Node, Tree, None]:
+) -> Union["Node", "Tree", None]:
     """Print out the information for an Earth Engine object using a tree structure.
     The source code was adapted from https://github.com/google/earthengine-jupyter.
     Credits to Tyler Erickson.
@@ -262,6 +261,7 @@ def get_info(
         Union[Node, Tree, None]: The tree or node representing the Earth Engine
             object information.
     """
+    from ipytree import Node, Tree
 
     tree_json = build_computed_object_tree(ee_object, layer_name, opened)
 

pyproject.toml

@@ -35,7 +35,6 @@ dependencies = [
     "ipyevents",
     "ipyfilechooser>=0.6.0",
     "ipyleaflet>=0.19.2",
-    "ipytree",
     "matplotlib",
     "numpy",
     "pandas",
@@ -79,6 +78,7 @@ extra = [
     "geojson",
     "geopandas",
     "ipynb-py-convert",
+    "ipytree",
     "jupyterlab>=3",
     "mapclassify>=2.4.0",
     "mss",