def test_get_selection_geometry_callback(self, df_type): bg = BaseGraph() df = initialize_df(df_type, {"a": [1, 2, 2], "b": [3, 4, 5]}) dashboard = DashBoard(dataframe=DataFrame.from_dataframe(df)) assert callable(type(bg.get_box_select_callback(dashboard))) assert callable(type(bg.get_lasso_select_callback(dashboard)))
def test_get_selection_geometry_callback(self): bg = BaseGraph() df = cudf.DataFrame({"a": [1, 2, 2], "b": [3, 4, 5]}) dashboard = DashBoard(dataframe=DataFrame.from_dataframe(df)) assert (bg.get_selection_geometry_callback(dashboard).__name__ == "selection_callback") assert callable(type(bg.get_selection_geometry_callback(dashboard)))
def test_lasso_election_callback(self): nodes = cudf.DataFrame({ "vertex": [0, 1, 2, 3], "x": [0, 1, 1, 2], "y": [0, 1, 2, 0] }) edges = cudf.DataFrame({ "source": [1, 1, 1, 1], "target": [0, 1, 2, 3] }) dashboard = DashBoard(dataframe=DataFrame.load_graph((nodes, edges))) bg = BaseGraph() bg.chart_type = "temp" bg.nodes = nodes bg.edges = edges bg.inspect_neighbors = CustomInspectTool(_active=False) def t_function(nodes, edges=None, patch_update=False): pass bg.reload_chart = t_function class evt: geometry = dict(x=[1, 1, 2], y=[1, 2, 1], type="poly") final = True t = bg.get_selection_geometry_callback(dashboard) with mock.patch("cuspatial.point_in_polygon") as pip: pip.return_value = cudf.DataFrame( {"selection": [True, False, True, False]}) t(evt) assert pip.called
def test_box_selection_callback(self, inspect_neighbors, result): nodes = cudf.DataFrame({ "vertex": [0, 1, 2, 3], "x": [0, 1, 1, 2], "y": [0, 1, 2, 0] }) edges = cudf.DataFrame({ "source": [1, 1, 1, 1], "target": [0, 1, 2, 3] }) dashboard = DashBoard(dataframe=DataFrame.load_graph((nodes, edges))) bg = BaseGraph() bg.chart_type = "temp" bg.nodes = nodes bg.edges = edges bg.inspect_neighbors = inspect_neighbors self.result = None def t_function(nodes, edges=None, patch_update=False): self.result = nodes.reset_index(drop=True) bg.reload_chart = t_function dashboard._active_view = bg.name class evt: geometry = dict(x0=1, x1=3, y0=0, y1=1, type="rect") t = bg.get_selection_geometry_callback(dashboard) t(evt) assert self.result.equals(result)
def test_variables(self): bg = BaseGraph() # BaseGraph variables assert bg.node_x == "x" assert bg.node_y == "y" assert bg.node_id == "vertex" assert bg.edge_source == "source" assert bg.edge_target == "target" assert bg.x_range is None assert bg.y_range is None assert bg.add_interaction is True assert bg.node_aggregate_col == "vertex" assert bg.edge_aggregate_col is None assert bg.node_aggregate_fn == "count" assert bg.edge_aggregate_fn == "count" assert bg.node_color_palette == constants.CUXF_DEFAULT_COLOR_PALETTE assert bg.edge_color_palette == ["#000000"] assert bg.node_point_size == 1 assert bg.node_point_shape == "circle" assert bg.node_pixel_shade_type == "eq_hist" assert bg.node_pixel_density == 0.5 assert bg.node_pixel_spread == "dynspread" assert bg.tile_provider == "CARTODBPOSITRON" assert bg.width == 800 assert bg.height == 400 assert bg.title == "" assert bg.timeout == 100 assert bg.chart_type is None assert bg.use_data_tiles is False assert bg.reset_event is None
def test_add_events( self, df_type, add_interaction, reset_event, event_1, event_2 ): bg = BaseGraph() bg.add_interaction = add_interaction bg.reset_event = reset_event bg.chart = hv.InteractiveDatashader() df = initialize_df(df_type, {"x": [1, 2, 2], "y": [3, 4, 5]}) dashboard = DashBoard(dataframe=DataFrame.from_dataframe(df)) self.event_1 = None self.event_2 = None def t_func(fn): self.event_1 = fn.__name__ def t_func1(fn): self.event_2 = fn.__name__ bg.chart.add_box_select_callback = t_func bg.chart.add_lasso_select_callback = t_func1 bg.add_events(dashboard) assert self.event_1 == event_1 assert self.event_2 == event_2
def test_view(self, chart, _chart): bg = BaseGraph() bg.chart = mock.Mock(**{"view.return_value": chart}) bg.width = 400 bg.title = "test" assert str(bg.view()) == str( chart_view(_chart, width=bg.width, title=bg.title) )
def test_compute_query_dict(self, x_range, y_range, query, local_dict): bg = BaseGraph() bg.chart_type = "test" bg.x_range = x_range bg.y_range = y_range df = cudf.DataFrame({"x": [1, 2, 2], "y": [3, 4, 5]}) dashboard = DashBoard(dataframe=DataFrame.from_dataframe(df)) bg.compute_query_dict(dashboard._query_str_dict, dashboard._query_local_variables_dict) assert dashboard._query_str_dict["x_test"] == query for key in local_dict: assert ( dashboard._query_local_variables_dict[key] == local_dict[key])
def test_compute_query_dict( self, df_type, x_range, y_range, query, local_dict ): bg = BaseGraph() bg.chart_type = "test" bg.box_selected_range = local_dict bg.x_range = x_range bg.y_range = y_range df = initialize_df(df_type, {"x": [1, 2, 2], "y": [3, 4, 5]}) dashboard = DashBoard(dataframe=DataFrame.from_dataframe(df)) bg.compute_query_dict( dashboard._query_str_dict, dashboard._query_local_variables_dict ) assert ( dashboard._query_str_dict[f"x_y_vertex_count_test_{bg.title}"] == query ) for key in local_dict: assert ( dashboard._query_local_variables_dict[key] == local_dict[key] )
def test_box_selection_callback( self, df_type, inspect_neighbors, result, index ): nodes = initialize_df( df_type, {"vertex": [0, 1, 2, 3], "x": [0, 1, 1, 2], "y": [0, 1, 2, 0]}, ) edges = initialize_df( df_type, {"source": [1, 1, 1, 1], "target": [0, 1, 2, 3]} ) dashboard = DashBoard(dataframe=DataFrame.load_graph((nodes, edges))) bg = BaseGraph() bg.chart_type = "temp" bg.nodes = nodes bg.edges = edges bg.inspect_neighbors = inspect_neighbors self.result = None def t_function(data, edges=None, patch_update=False): self.result = data.reset_index(drop=True) bg.reload_chart = t_function dashboard._active_view = bg class evt: bounds = (1, 3, 0, 1) x_selection = (1, 3) y_selection = (0, 1) t = bg.get_box_select_callback(dashboard) t(evt.bounds, evt.x_selection, evt.y_selection) result = initialize_df(df_type, result, index) assert df_equals(self.result, result)
def test_add_events(self, add_interaction, reset_event, event_1, event_2): bg = BaseGraph() bg.add_interaction = add_interaction bg.reset_event = reset_event df = cudf.DataFrame({"x": [1, 2, 2], "y": [3, 4, 5]}) dashboard = DashBoard(dataframe=DataFrame.from_dataframe(df)) self.event_1 = None self.event_2 = None def t_func(fn): self.event_1 = fn.__name__ def t_func1(event, fn): self.event_2 = fn.__name__ bg.add_selection_geometry_event = t_func bg.add_event = t_func1 bg.add_events(dashboard) assert self.event_1 == event_1 assert self.event_2 == event_2
def test_lasso_selection_callback(self, df_type): nodes = initialize_df( df_type, {"vertex": [0, 1, 2, 3], "x": [0, 1, 1, 2], "y": [0, 1, 2, 0]}, ) edges = initialize_df( df_type, {"source": [1, 1, 1, 1], "target": [0, 1, 2, 3]} ) dashboard = DashBoard(dataframe=DataFrame.load_graph((nodes, edges))) bg = BaseGraph() bg.chart_type = "temp" bg.nodes = nodes bg.edges = edges bg.inspect_neighbors = CustomInspectTool(_active=False) def t_function(data, edges=None, patch_update=False): self.result = data bg.reload_chart = t_function geometry = np.array([[1, 1, 2], [1, 2, 1]]) t = bg.get_lasso_select_callback(dashboard) with mock.patch("cuspatial.point_in_polygon") as pip: if isinstance(nodes, dask_cudf.DataFrame): # point in polygon is called per partition, # in this case 2 partitions of length 2 each pip.return_value = cudf.DataFrame({"selection": [True, False]}) else: pip.return_value = cudf.DataFrame( {"selection": [True, False, True, False]} ) t(geometry) assert pip.called assert isinstance(self.result, df_type)
def test_view(self, chart, _chart): bg = BaseGraph() bg.chart = chart bg.width = 400 assert str(bg.view()) == str(chart_view(_chart, width=bg.width))
def test_query_chart_by_indices(self, new_indices, result): bg = BaseGraph() bg.chart_type = "test" bg.x = "a" bg_1 = BaseGraph() bg_1.chart_type = "test" bg_1.x = "b" new_indices = new_indices df = cudf.DataFrame({"a": [1, 2, 3, 4], "b": [3, 4, 5, 6]}) bg.nodes = df self.result = None def t_func(data): self.result = data # creating a dummy reload chart fn as its not implemented in core # non aggregate chart class bg.reload_chart = t_func bg.query_chart_by_indices( active_chart=bg_1, old_indices=[], new_indices=new_indices, datatile=None, ) assert self.result.to_string() == result
def test_query_chart_by_range(self): bg = BaseGraph() bg.chart_type = "test" bg.x = "a" bg_1 = BaseGraph() bg_1.chart_type = "test" bg_1.x = "b" query_tuple = (4, 5) df = cudf.DataFrame({"a": [1, 2, 3, 4], "b": [3, 4, 5, 6]}) bg.nodes = df self.result = None def t_func(data): self.result = data # creating a dummy reload chart fn as its not implemented in core # non aggregate chart class bg.reload_chart = t_func bg.query_chart_by_range(active_chart=bg_1, query_tuple=query_tuple, datatile=None) assert self.result.to_string() == " a b\n1 2 4\n2 3 5"
def test_add_reset_event(self): bg = BaseGraph() bg.edges = None bg.chart_type = "test" bg.x = "a" bg.x_range = (0, 2) bg.y_range = (3, 5) df = cudf.DataFrame({"a": [1, 2, 2], "b": [3, 4, 5]}) dashboard = DashBoard(dataframe=DataFrame.from_dataframe(df)) dashboard._active_view = "a_test" def t_func1(event, fn): fn("event") def reload_fn(nodes, edges=None, patch_update=False): pass bg.add_event = t_func1 bg.reload_chart = reload_fn bg.add_reset_event(dashboard) assert bg.x_range is None assert bg.y_range is None assert dashboard._active_view == "a_test"
def test_query_chart_by_indices(self, df_type, new_indices, result, index): bg = BaseGraph() bg.chart_type = "test" bg.x = "a" bg_1 = BaseGraph() bg_1.chart_type = "test" bg_1.x = "b" new_indices = new_indices df = initialize_df(df_type, {"a": [1, 2, 3, 4], "b": [3, 4, 5, 6]}) bg.nodes = df self.result = None def t_func(data): self.result = data # creating a dummy reload chart fn as its not implemented in core # non aggregate chart class bg.reload_chart = t_func bg.query_chart_by_indices( active_chart=bg_1, old_indices=[], new_indices=new_indices, datatile=None, ) result = initialize_df(df_type, result, index) assert df_equals(self.result, result)
def test_query_chart_by_range(self, df_type): bg = BaseGraph() bg.chart_type = "test" bg.x = "a" bg_1 = BaseGraph() bg_1.chart_type = "test" bg_1.x = "b" query_tuple = (4, 5) df = initialize_df(df_type, {"a": [1, 2, 3, 4], "b": [3, 4, 5, 6]}) bg.nodes = df self.result = None def t_func(data): self.result = data # creating a dummy reload chart fn as its not implemented in core # non aggregate chart class bg.reload_chart = t_func bg.query_chart_by_range( active_chart=bg_1, query_tuple=query_tuple, datatile=None ) assert df_equals( self.result, initialize_df(df_type, {"a": [2, 3], "b": [4, 5]}, [1, 2]), )
def test_add_reset_event(self, df_type): bg = BaseGraph() bg.edges = None bg.chart_type = "test" bg.x = "a" bg.x_range = (0, 2) bg.y_range = (3, 5) bg.chart = hv.InteractiveDatashader() df = initialize_df(df_type, {"a": [1, 2, 2], "b": [3, 4, 5]}) dashboard = DashBoard(dataframe=DataFrame.from_dataframe(df)) dashboard._active_view = bg def t_func1(event, fn): fn("event") def reload_fn(data, edges=None, patch_update=False): pass bg.add_event = t_func1 bg.reload_chart = reload_fn bg.add_reset_event(dashboard) assert bg.selected_indices is None