component safety fixes

src/gh/components/DF_CAD_segmentator/code.py

@@ -1,13 +1,12 @@
 #! python3
 
-import typing
+import System
 
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
+from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
 
 
-import diffCheck
-import diffCheck.df_geometries
 from diffCheck.diffcheck_bindings import dfb_segmentation
 
 from diffCheck import df_cvt_bindings
@@ -16,11 +15,19 @@
 
 class DFCADSegmentator(component):
     def RunScript(self,
-        i_clouds : typing.List[rg.PointCloud],
-        i_assembly : diffCheck.df_geometries.DFAssembly,
-        i_angle_threshold : float,
-        i_association_threshold : float
-    ) -> rg.PointCloud:
+        i_clouds: System.Collections.Generic.IList[Rhino.Geometry.PointCloud],
+        i_assembly,
+        i_angle_threshold: float = 0.1,
+        i_association_threshold: float = 0.1) -> rg.PointCloud:
+
+        if i_clouds is None or i_assembly is None:
+            self.AddRuntimeMessage(RML.Warning, "Please provide a cloud and an assembly to segmentate")
+            return None
+        if i_angle_threshold is None:
+            i_angle_threshold = 0.1
+        if i_association_threshold is None:
+            i_association_threshold = 0.1
+
         o_clusters = []
         df_clusters = []
         # we make a deepcopy of the input clouds

src/gh/components/DF_CAD_segmentator/metadata.json

@@ -40,7 +40,7 @@
             {
                 "name": "i_angle_threshold",
                 "nickname": "i_angle_threshold",
-                "description": "From 0 to 1, it's the sin value. The closer to 0 the less permissive and viceversa to 1.",
+                "description": "From 0 to 1, it's the sin value. By default 0.1. The closer to 0 the less permissive and viceversa to 1.",
                 "optional": false,
                 "allowTreeAccess": true,
                 "showTypeHints": true,
@@ -52,7 +52,7 @@
             {
                 "name": "i_association_threshold",
                 "nickname": "i_association_threshold",
-                "description": "From 0 to infinite. By default 0.5. The closer to 0 the less permissive your point.",
+                "description": "From 0 to infinite. By default 0.1. The closer to 0 the less permissive your point.",
                 "optional": false,
                 "allowTreeAccess": true,
                 "showTypeHints": true,

src/gh/components/DF_cloud_cloud_distance/code.py

@@ -1,8 +1,8 @@
 #! python3
 
-import typing
+import System
 
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
 
 from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
@@ -14,8 +14,8 @@
 
 class DFCloudCloudDistance(component):
     def RunScript(self,
-        i_cloud_source:  typing.List[rg.PointCloud],
-        i_cloud_target: typing.List[rg.PointCloud],
+        i_cloud_source: System.Collections.Generic.List[Rhino.Geometry.PointCloud],
+        i_cloud_target: System.Collections.Generic.List[Rhino.Geometry.PointCloud],
         i_swap: bool):
         if i_cloud_source is None or i_cloud_target is None:
             ghenv.Component.AddRuntimeMessage(RML.Warning, "Please provide both objects of type point clouds to compare")  # noqa: F821

src/gh/components/DF_cloud_mesh_distance/code.py

@@ -1,24 +1,23 @@
 #! python3
 
-import typing
+import System
 
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
 from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
 
 import diffCheck
 from diffCheck import df_cvt_bindings
 from diffCheck import df_error_estimation
-from diffCheck.df_geometries import DFAssembly
 
 
 class DFCloudMeshDistance(component):
     def RunScript(self,
-        i_cloud_source: typing.List[rg.PointCloud],
-        i_assembly: DFAssembly,
-        i_signed_flag: bool,
-        i_swap: bool,
-        i_analysis_resolution):
+            i_cloud_source: System.Collections.Generic.List[Rhino.Geometry.PointCloud],
+            i_assembly,
+            i_signed_flag: bool,
+            i_swap: bool,
+            i_analysis_resolution: float):
 
         if i_analysis_resolution is None:
             scalef = diffCheck.df_util.get_doc_2_meters_unitf()

src/gh/components/DF_cloud_normal_estimator/code.py

@@ -1,19 +1,17 @@
 #! python3
 
-
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
 
 from diffCheck import df_cvt_bindings
 
 class DFCloudNormalEstimator(component):
     def RunScript(self,
-        i_cloud : rg.PointCloud = None,
-        i_knn : int = None,
-        i_radius : float = None,
-        i_switch_mode : bool = True
-    ):
-        o_cloud = rg.PointCloud()
+            i_cloud: Rhino.Geometry.PointCloud,
+            i_knn: int,
+            i_radius: int,
+            i_switch_mode: bool):
+        o_cloud = Rhino.Geometry.PointCloud()
 
         df_cloud = df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cloud)
 

src/gh/components/DF_cloud_size_downsample/code.py

@@ -1,17 +1,14 @@
 #! python3
 
 
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
 
 
 from diffCheck import df_cvt_bindings
 
 class DFCloudSizeDownsample(component):
-    def RunScript(self,
-        i_cloud: rg.PointCloud,
-        i_size: int,
-    ) -> rg.PointCloud:
+    def RunScript(self, i_cloud: Rhino.Geometry.PointCloud, i_size: float) -> Rhino.Geometry.PointCloud:
         df_cloud = df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cloud)
         df_cloud.downsample_by_size(i_size)
         o_cloud = df_cvt_bindings.cvt_dfcloud_2_rhcloud(df_cloud)

src/gh/components/DF_cloud_uniform_downsample/code.py

@@ -1,17 +1,14 @@
 #! python3
 
 
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
 
 
 from diffCheck import df_cvt_bindings
 
 class DFCloudUniformDownsample(component):
-    def RunScript(self,
-        i_cloud: rg.PointCloud,
-        i_every_k_points: int,
-    ) -> rg.PointCloud:
+    def RunScript(self, i_cloud: Rhino.Geometry.PointCloud, i_every_k_points: int) -> Rhino.Geometry.PointCloud:
         df_cloud = df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cloud)
         df_cloud.uniform_downsample(i_every_k_points)
         o_cloud = df_cvt_bindings.cvt_dfcloud_2_rhcloud(df_cloud)

src/gh/components/DF_cloud_voxel_downsample/code.py

@@ -1,17 +1,14 @@
 #! python3
 
 
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
 
 
 from diffCheck import df_cvt_bindings
 
 class DFCloudVoxelDownsample(component):
-    def RunScript(self,
-        i_cloud: rg.PointCloud,
-        i_voxel_size: float,
-    ) -> rg.PointCloud:
+    def RunScript(self, i_cloud: Rhino.Geometry.PointCloud, i_voxel_size: float) -> Rhino.Geometry.PointCloud:
         df_cloud = df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cloud)
         df_cloud.voxel_downsample(i_voxel_size)
         o_cloud = df_cvt_bindings.cvt_dfcloud_2_rhcloud(df_cloud)

src/gh/components/DF_csv_exporter/metadata.json

@@ -51,7 +51,7 @@
             },
             {
                 "name": "i_export_seperate_files",
-                "nickname": "i_export_seperate_file",
+                "nickname": "i_export_seperate_files",
                 "description": "Whether to export one single file or seperate files per element.",
                 "optional": true,
                 "allowTreeAccess": true,

src/gh/components/DF_deconstruct_beam/code.py

@@ -1,16 +1,12 @@
 #! python3
 
-import typing
-
+import System
 
 from ghpythonlib.componentbase import executingcomponent as component
 
-from diffCheck.df_geometries import DFBeam
-
 
 class DFDeconstructBeam(component):
-    def RunScript(self,
-            i_beams : typing.List[DFBeam]):
+    def RunScript(self, i_beams: System.Collections.Generic.List[object]):
         o_side_faces, o_joint_faces, o_joint_ids = [], [], []
 
         for i_b in i_beams:

src/gh/components/DF_fast_global_registration/code.py

@@ -1,7 +1,7 @@
 #! python3
 
 
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
 
 from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
@@ -12,15 +12,13 @@
 
 class DFFastGlobalRegistration(component):
     def RunScript(self,
-        i_cloud_source: rg.PointCloud,
-        i_cloud_target: rg.PointCloud,
-        i_radius_kd_search: float,
-        i_neighbours_kd_search: int,
-        i_max_corrspondence_dist: float,
-        i_iteration_number: int,
-        i_max_tuple_count: int
-    ) -> rg.Transform:
-        # preliminary checks
+            i_cloud_source: Rhino.Geometry.PointCloud,
+            i_cloud_target: Rhino.Geometry.PointCloud,
+            i_radius_kd_search: float,
+            i_neighbours_kd_search: int,
+            i_max_corrspondence_dist: float,
+            i_iteration_number: int,
+            i_max_tuple_count: int) -> Rhino.Geometry.Transform:
         if i_cloud_source is None or i_cloud_target is None:
             ghenv.Component.AddRuntimeMessage(RML.Warning, "Please provide both objects of type point clouds to align")  # noqa: F821
             return None
@@ -60,11 +58,11 @@ def RunScript(self,
 
         # cvt df xform to rhino xform
         df_xform_matrix = df_xform.transformation_matrix
-        rh_form = rg.Transform()
+        rh_form = Rhino.Geometry.Transform()
         for i in range(4):
             for j in range(4):
                 rh_form[i, j] = df_xform_matrix[i, j]
-        if rh_form == rg.Transform.Identity:
+        if rh_form == Rhino.Geometry.Transform.Identity:
             ghenv.Component.AddRuntimeMessage(RML.Warning, "The transformation matrix is identity, no transformation is applied")  # noqa: F821
             return None
 

src/gh/components/DF_icp_registration/code.py

@@ -1,7 +1,7 @@
 #! python3
 
 
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
 
 from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
@@ -12,18 +12,13 @@
 
 class DFICPRegistration(component):
     def RunScript(self,
-        i_cloud_source: rg.PointCloud,
-        i_cloud_target: rg.PointCloud,
-
-        i_use_generalized_icp: bool,
-
-        i_max_corrspondence_dist: float,
-        i_max_iteration: int,
-
-        is_t_estimate_pt2pt: bool,  # valid only for 03dicp
-        i_use_point_to_plane: bool  # valid only for 03dicp
-    ) -> rg.Transform:
-        # preliminary checks
+            i_use_generalized_icp: bool,
+            i_cloud_source: Rhino.Geometry.PointCloud,
+            i_cloud_target: Rhino.Geometry.PointCloud,
+            i_max_corrspondence_dist: float,
+            i_max_iteration: int,
+            is_t_estimate_pt2pt: bool,
+            i_use_point_to_plane: bool) -> Rhino.Geometry.Transform:
         if i_cloud_source is None or i_cloud_target is None:
             ghenv.Component.AddRuntimeMessage(RML.Warning, "Please provide both objects of type point clouds to align")  # noqa: F821
             return None
@@ -75,11 +70,11 @@ def RunScript(self,
 
         # cvt df xform to rhino xform
         df_xform_matrix = df_xform.transformation_matrix
-        rh_form = rg.Transform()
+        rh_form = Rhino.Geometry.Transform()
         for i in range(4):
             for j in range(4):
                 rh_form[i, j] = df_xform_matrix[i, j]
-        if rh_form == rg.Transform.Identity:
+        if rh_form == Rhino.Geometry.Transform.Identity:
             ghenv.Component.AddRuntimeMessage(RML.Warning, "The transformation matrix is identity, no transformation is applied")  # noqa: F821
             return None
 

src/gh/components/DF_joint_segmentator/code.py

@@ -9,15 +9,15 @@
 from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
 from ghpythonlib.componentbase import executingcomponent as component
 
-import typing
+import System
 
 ABSTOL = Rhino.RhinoDoc.ActiveDoc.ModelAbsoluteTolerance
 
 class DFJointSegmentator(component):
     def __init__(self):
         super(DFJointSegmentator, self).__init__()
     def RunScript(self,
-                  i_clusters: typing.List[Rhino.Geometry.PointCloud],
+                  i_clusters: System.Collections.Generic.List[Rhino.Geometry.PointCloud],
                   i_assembly: diffCheck.df_geometries.DFAssembly,
                   i_angle_threshold: float,
                   i_distance_threshold: float):

src/gh/components/DF_mesh_to_cloud/code.py

@@ -12,15 +12,9 @@
 
 
 class DFMeshToCloud(component):
-    def RunScript(self,
-        i_meshes:System.Collections.Generic.IList[Rhino.Geometry.Mesh],
-        i_points: int) -> Rhino.Geometry.PointCloud:
-
-        if i_meshes is None:
-            return None
-
-        if i_points is None:
-            i_points = 1000
+    def RunScript(self, i_mesh: Rhino.Geometry.Mesh, i_points: int) -> Rhino.Geometry.PointCloud:
+        df_mesh = diffCheck.df_cvt_bindings.cvt_rhmesh_2_dfmesh(i_mesh)
+        df_cloud = df_mesh.sample_points_uniformly(i_points)
 
         rh_mesh = i_meshes[0]
         for i  in range(1, len(i_meshes)):
@@ -33,6 +27,8 @@ def RunScript(self,
         df_cloud = df_mesh.sample_points_uniformly(i_points)
         rgpoints = [Rhino.Geometry.Point3d(p[0], p[1], p[2]) for p in df_cloud.points]
         # convert the df_cloud to a rhino cloud
+
+        rgpoints = [Rhino.Geometry.Point3d(pt[0], pt[1], pt[2]) for pt in df_cloud.points]
         rh_cloud = Rhino.Geometry.PointCloud(rgpoints)
 
         return [rh_cloud]

src/gh/components/DF_normal_segmentator/code.py

@@ -1,7 +1,7 @@
 #! python3
 
 
-import Rhino.Geometry as rg
+import Rhino
 from ghpythonlib.componentbase import executingcomponent as component
 
 
@@ -12,13 +12,13 @@
 
 class DFCloudNormalSegmentator(component):
     def RunScript(self,
-        i_cloud,
+        i_cloud: Rhino.Geometry.PointCloud,
         i_normal_threshold_degree=None,
         i_min_cluster_size=None,
         i_use_knn_neighborhood=None,
         i_knn_neighborhood_size=None,
         i_radius_neighborhood_size=None
-    ) -> rg.PointCloud:
+    ) -> Rhino.Geometry.PointCloud:
         o_clusters = []
         df_cloud = df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cloud)