skip tests with transitive deps on ecoscope core

tests/tasks/test_calculate_time_density.py

@@ -1,14 +1,15 @@
 from importlib.resources import files
 
-import geopandas as gpd
 import pandas as pd
 import pytest
 
 from ecoscope_workflows.tasks.analysis import calculate_time_density
 
 
-@pytest.mark.requires_ecoscope_core
+@pytest.mark.requires_ecoscope_core(transitive_dependencies=["geopandas"])
 def test_calculate_time_density():
+    import geopandas as gpd
+
     example_input_df_path = (
         files("ecoscope_workflows.tasks.preprocessing")
         / "relocations-to-trajectory.example-return.parquet"

tests/tasks/test_classification.py

@@ -1,11 +1,14 @@
-import matplotlib
 import numpy as np
 import pandas as pd
+import pytest
 
 from ecoscope_workflows.tasks.transformation import color_map
 
 
+@pytest.mark.requires_ecoscope_core(transitive_dependencies=["matplotlib"])
 def test_color_map():
+    import matplotlib
+
     df = pd.DataFrame({"column_name": ["A", "B", "A", "C", "B", "C"]})
     result = color_map(df, "column_name", "viridis")
 

tests/tasks/test_filtering.py

@@ -1,6 +1,5 @@
 import pandas as pd
 import pytest
-from shapely.geometry import Point
 
 from ecoscope_workflows.tasks.transformation._filtering import (
     Coordinate,
@@ -10,6 +9,8 @@
 
 @pytest.fixture
 def df_with_geometry():
+    from shapely.geometry import Point
+
     data = {
         "geometry": [
             Point(0.0, 0.0),
@@ -21,7 +22,10 @@ def df_with_geometry():
     return pd.DataFrame(data)
 
 
+@pytest.mark.requires_ecoscope_core(transitive_dependencies=["shapely"])
 def test_filter_points(df_with_geometry):
+    from shapely.geometry import Point
+
     # Sample data fixture (can be replaced with a parametrized fixture)
     expected_df = pd.DataFrame(
         {
@@ -42,7 +46,10 @@ def test_filter_points(df_with_geometry):
     pd.testing.assert_frame_equal(filtered_df, expected_df)
 
 
+@pytest.mark.requires_ecoscope_core(transitive_dependencies=["shapely"])
 def test_filter_range(df_with_geometry):
+    from shapely.geometry import Point
+
     # Sample data fixture (can be replaced with a parametrized fixture)
     expected_df = pd.DataFrame({"geometry": [Point(-170.0, 80.0)]})
 

tests/tasks/test_preprocessing.py

@@ -1,6 +1,5 @@
 from importlib.resources import files
 
-import geopandas as gpd
 import pandas as pd
 import pytest
 
@@ -10,10 +9,11 @@
 )
 from ecoscope_workflows.tasks.transformation._filtering import Coordinate
 
-pytestmark = pytest.mark.requires_ecoscope_core
-
 
+@pytest.mark.requires_ecoscope_core(transitive_dependencies=["geopandas"])
 def test_process_relocations():
+    import geopandas as gpd
+
     example_input_df_path = (
         files("ecoscope_workflows.tasks.io")
         / "get-subjectgroup-observations.example-return.parquet"
@@ -36,7 +36,10 @@ def test_process_relocations():
     pd.testing.assert_frame_equal(result, cached)
 
 
+@pytest.mark.requires_ecoscope_core(transitive_dependencies=["geopandas"])
 def test_relocations_to_trajectory():
+    import geopandas as gpd
+
     example_input_df_path = (
         files("ecoscope_workflows.tasks.preprocessing")
         / "process-relocations.example-return.parquet"