From 480b698caa6b1fbc789ecf424ebd3d5c40d033c0 Mon Sep 17 00:00:00 2001 From: Tobias Koetter Date: Wed, 23 Nov 2022 20:59:14 +0100 Subject: [PATCH 01/24] Add new get_unique_column_name() method --- knime_extension/src/util/knime_utils.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/knime_extension/src/util/knime_utils.py b/knime_extension/src/util/knime_utils.py index 0de5fb90..257132dd 100644 --- a/knime_extension/src/util/knime_utils.py +++ b/knime_extension/src/util/knime_utils.py @@ -474,6 +474,19 @@ def fail_if_column_exists( raise knext.InvalidParametersError(msg) +def get_unique_column_name(column_name: str, input_schema: knext.Schema) -> str: + """Checks if the column name exists in the given schema and if so appends a number to it to make it unique. + The unique name if returned or the original if it was already unique.""" + if column_name is None: + raise knext.InvalidParametersError("Column name must not be None") + uniquifier = 1 + result = column_name + while result in input_schema.column_names: + result = column_name + f"(#{uniquifier})" + uniquifier += 1 + return result + + def check_canceled(exec_context: knext.ExecutionContext) -> None: """ Checks if the user has canceled the execution and if so throws a RuntimeException From 8bf562ac8d443d4884e02c61742c27c47f9bad12 Mon Sep 17 00:00:00 2001 From: Tobias Koetter Date: Wed, 23 Nov 2022 21:02:50 +0100 Subject: [PATCH 02/24] Use new get_unique_column_name() method --- knime_extension/src/nodes/calculation.py | 259 ++++++++++++----------- 1 file changed, 141 insertions(+), 118 deletions(-) diff --git a/knime_extension/src/nodes/calculation.py b/knime_extension/src/nodes/calculation.py index fde50c3f..7996536c 100644 --- a/knime_extension/src/nodes/calculation.py +++ b/knime_extension/src/nodes/calculation.py @@ -57,14 +57,25 @@ def __init__( def configure(self, configure_context, input_schema): # geo_col needs to be defined in the child class + self.geo_col = knut.column_exists_or_preset( configure_context, self.geo_col, input_schema, knut.is_geo ) - return input_schema.append(knext.Column(self.coltype, self.col_name)) + + # We have to do this twice because configure and execute are executed in different processes so they + # have different instances!!! + self.col_name = knut.get_unique_column_name(self.col_name, input_schema) + if self.coltype is not None: + return input_schema.append(knext.Column(self.coltype, self.col_name)) def execute(self, exec_context, input_table): # create GeoDataFrame with the selected column as active geometry column. # The geo_col needs to be defined in the child class + + # We have to do this twice because configure and execute are executed in different processes so they + # have different instances!!! + self.col_name = knut.get_unique_column_name(self.col_name, input_table.schema) + gdf = knut.load_geo_data_frame(input_table, self.geo_col, exec_context) gdf[self.col_name] = self.func( gdf @@ -135,110 +146,76 @@ def __init__(self): ############################################ -# Bounds node +# Bounding Box ############################################ @knext.node( - name="Bounds", + name="Bounding Box", node_type=knext.NodeType.MANIPULATOR, - icon_path=__NODE_ICON_PATH + "Bounds.png", + icon_path=__NODE_ICON_PATH + "BoundingBox.png", category=__category, ) @knext.input_table( name="Geo table", - description="Table with geometry column to compute the bounds per geometric object", + description="Table with geometry column to transform", ) @knext.output_table( - name="Geo table with bounds", - description="Input geo table with the bounds per geometric object", + name="Transformed geo table", + description="Transformed Geo input table", ) @knut.geo_node_description( - short_description="Computes the bound for geometric objects.", - description="This node computes the bounds for each geometry object. The bounds are appended to the input table as x/y coordinate columns.", + short_description="This node generate rectangles representing the envelope of each geometry.", + description="""This node generate rectangles representing the envelope of each geometry. + That is, the point or smallest rectangular polygon (with sides parallel to the coordinate axes) + that contains each of the geometries.""", references={ - "Bounds": "https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoSeries.bounds.html" + "Envelop": "https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoSeries.envelope.html", }, ) -class BoundsNode: +class BoundingBoxNode(_SingleCalculator): + geo_col = knut.geo_col_parameter( - description="Select the geometry column to compute the bounds for." + description="Select the geometry column to compute the bounding box." ) - def configure(self, configure_context, input_schema_1): - self.geo_col = knut.column_exists_or_preset( - configure_context, self.geo_col, input_schema_1, knut.is_geo - ) - return input_schema_1.append( - [ - knext.Column(knext.double(), "minx"), - knext.Column(knext.double(), "miny"), - knext.Column(knext.double(), "maxx"), - knext.Column(knext.double(), "maxy"), - ] - ) - - def execute(self, exec_context: knext.ExecutionContext, input_1): - gdf = knut.load_geo_data_frame(input_1, self.geo_col, exec_context) - bounds = gdf.bounds - gdf = pd.concat([gdf, bounds], axis=1, copy=False) - return knut.to_table(gdf, exec_context) + def __init__(self): + super().__init__(lambda gdf: gdf.envelope, "box", None) ############################################ -# Total bounds node +# Convex Hull ############################################ @knext.node( - name="Total Bounds", + name="Convex Hull", node_type=knext.NodeType.MANIPULATOR, - icon_path=__NODE_ICON_PATH + "TotalBounds.png", + icon_path=__NODE_ICON_PATH + "ConvexHull.png", category=__category, ) @knext.input_table( name="Geo table", - description="Table with geometry column to compute the total bounds for.", + description="Table with geometry column to transform", ) @knext.output_table( - name="Table with the total bounds", - description="Table with the total bounds for all geometric input objects", + name="Transformed Geo table", + description="Transformed Geo input table", ) @knut.geo_node_description( - short_description="Computes the total bounds for all given geometric objects.", - description="This node computes the total bounds for all given geometric input objects.", + short_description="This node generate the smallest convex Polygon containing all the points in each geometry.", + description="""This node generate the smallest convex Polygon containing all the points in each geometry. + The convex hull of a geometry is the smallest convex Polygon containing all the points in each geometry, + unless the number of points in the geometric object is less than three. For two points, the convex hull + collapses to a LineString; for 1, a Point.""", references={ - "Total bounds": "https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoSeries.total_bounds.html" + "Convex hull": "https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoSeries.convex_hull.html", }, ) -class TotalBoundsNode: +class ConvexHullNode(_SingleCalculator): geo_col = knut.geo_col_parameter( - description="Select the geometry column to compute the total bounds for." + description="Select the geometry column to compute the convex hull." ) - col_min_x = "minx" - col_min_y = "miny" - col_max_x = "maxx" - col_max_y = "maxy" - - def configure(self, configure_context, input_schema_1): - self.geo_col = knut.column_exists_or_preset( - configure_context, self.geo_col, input_schema_1, knut.is_geo - ) - return knext.Schema.from_columns( - [ - knext.Column(knext.double(), self.col_min_x), - knext.Column(knext.double(), self.col_min_y), - knext.Column(knext.double(), self.col_max_x), - knext.Column(knext.double(), self.col_max_y), - ] - ) - - def execute(self, exec_context: knext.ExecutionContext, input_1): - gdf = knut.load_geo_data_frame(input_1, self.geo_col, exec_context) - bounds = gdf.total_bounds - result = pd.DataFrame( - [bounds], - columns=[self.col_min_x, self.col_min_y, self.col_max_x, self.col_max_y], - ) - return knut.to_table(result, exec_context) + def __init__(self): + super().__init__(lambda gdf: gdf.convex_hull, "hull", None) ############################################ @@ -290,121 +267,166 @@ def configure(self, configure_context, input_schema_1): ) result = input_schema_1.append( [ - knext.Column(knext.double(), self.col_x), - knext.Column(knext.double(), self.col_y), + knext.Column( + knext.double(), + knut.get_unique_column_name(self.col_x, input_schema_1), + ), + knext.Column( + knext.double(), + knut.get_unique_column_name(self.col_y, input_schema_1), + ), ] ) if self.add_z: - result = result.append(knext.Column(knext.double(), self.col_z)) + result = result.append( + knext.Column( + knext.double(), + knut.get_unique_column_name(self.col_z, input_schema_1), + ) + ) return result def execute(self, exec_context: knext.ExecutionContext, input_1): gdf = knut.load_geo_data_frame(input_1, self.geo_col, exec_context) gs = gdf.loc[:, self.geo_col] - gdf[self.col_x] = gs.x - gdf[self.col_y] = gs.y + gdf[knut.get_unique_column_name(self.col_x, input_1.schema)] = gs.x + gdf[knut.get_unique_column_name(self.col_y, input_1.schema)] = gs.y if self.add_z: - gdf[self.col_z] = gs.z + gdf[knut.get_unique_column_name(self.col_z, input_1.schema)] = gs.z return knut.to_table(gdf, exec_context) ############################################ -# Bounding Box +# Bounds node ############################################ - - @knext.node( - name="Bounding Box", + name="Bounds", node_type=knext.NodeType.MANIPULATOR, - icon_path=__NODE_ICON_PATH + "BoundingBox.png", + icon_path=__NODE_ICON_PATH + "Bounds.png", category=__category, ) @knext.input_table( name="Geo table", - description="Table with geometry column to transform", + description="Table with geometry column to compute the bounds per geometric object", ) @knext.output_table( - name="Transformed geo table", - description="Transformed Geo input table", + name="Geo table with bounds", + description="Input geo table with the bounds per geometric object", ) @knut.geo_node_description( - short_description="This node generate rectangles representing the envelope of each geometry.", - description="""This node generate rectangles representing the envelope of each geometry. - That is, the point or smallest rectangular polygon (with sides parallel to the coordinate axes) - that contains each of the geometries.""", + short_description="Computes the bound for geometric objects.", + description="""This node computes the bounds for each geometry object. The bounds are appended to the input + table as x/y coordinate columns.""", references={ - "Envelop": "https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoSeries.envelope.html", + "Bounds": "https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoSeries.bounds.html" }, ) -class BoundingBoxNode: +class BoundsNode: geo_col = knut.geo_col_parameter( - description="Select the geometry column to compute the bounding box." + description="Select the geometry column to compute the bounds for." ) + c_min_x = "minx" + c_min_y = "miny" + c_max_x = "maxx" + x_max_y = "maxy" def configure(self, configure_context, input_schema_1): self.geo_col = knut.column_exists_or_preset( configure_context, self.geo_col, input_schema_1, knut.is_geo ) - return input_schema_1 + return input_schema_1.append( + [ + knext.Column( + knext.double(), + knut.get_unique_column_name(self.c_min_x, input_schema_1), + ), + knext.Column( + knext.double(), + knut.get_unique_column_name(self.c_min_y, input_schema_1), + ), + knext.Column( + knext.double(), + knut.get_unique_column_name(self.c_max_x, input_schema_1), + ), + knext.Column( + knext.double(), + knut.get_unique_column_name(self.c_max_y, input_schema_1), + ), + ] + ) def execute(self, exec_context: knext.ExecutionContext, input_1): - gdf = gp.GeoDataFrame(input_1.to_pandas(), geometry=self.geo_col) - exec_context.set_progress( - 0.3, "Geo data frame loaded. Starting transformation..." + gdf = knut.load_geo_data_frame(input_1, self.geo_col, exec_context) + bounds = gdf.bounds + bounds.rename( + columns={ + self.c_min_x: knut.get_unique_column_name(self.c_min_x, input_1.schema), + self.c_min_y: knut.get_unique_column_name(self.c_min_y, input_1.schema), + self.c_max_x: knut.get_unique_column_name(self.c_max_x, input_1.schema), + self.c_max_y: knut.get_unique_column_name(self.c_max_y, input_1.schema), + }, + inplace=True, ) - gdf["geometry"] = gdf.envelope - exec_context.set_progress(0.1, "Transformation done") - return knext.Table.from_pandas(gdf) + gdf = pd.concat([gdf, bounds], axis=1, copy=False) + return knut.to_table(gdf, exec_context) ############################################ -# Convex Hull +# Total bounds node ############################################ - - @knext.node( - name="Convex Hull", + name="Total Bounds", node_type=knext.NodeType.MANIPULATOR, - icon_path=__NODE_ICON_PATH + "ConvexHull.png", + icon_path=__NODE_ICON_PATH + "TotalBounds.png", category=__category, ) @knext.input_table( name="Geo table", - description="Table with geometry column to transform", + description="Table with geometry column to compute the total bounds for.", ) @knext.output_table( - name="Transformed Geo table", - description="Transformed Geo input table", + name="Table with the total bounds", + description="Table with the total bounds for all geometric input objects", ) @knut.geo_node_description( - short_description="This node generate the smallest convex Polygon containing all the points in each geometry.", - description="""This node generate the smallest convex Polygon containing all the points in each geometry. - The convex hull of a geometry is the smallest convex Polygon containing all the points in each geometry, - unless the number of points in the geometric object is less than three. For two points, the convex hull - collapses to a LineString; for 1, a Point.""", + short_description="Computes the total bounds for all given geometric objects.", + description="This node computes the total bounds for all given geometric input objects.", references={ - "Convex hull": "https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoSeries.convex_hull.html", + "Total bounds": "https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoSeries.total_bounds.html" }, ) -class ConvexHullNode: +class TotalBoundsNode: + geo_col = knut.geo_col_parameter( - description="Select the geometry column to compute the convex hull." + description="Select the geometry column to compute the total bounds for." ) + col_min_x = "minx" + col_min_y = "miny" + col_max_x = "maxx" + col_max_y = "maxy" + def configure(self, configure_context, input_schema_1): self.geo_col = knut.column_exists_or_preset( configure_context, self.geo_col, input_schema_1, knut.is_geo ) - return input_schema_1 + return knext.Schema.from_columns( + [ + knext.Column(knext.double(), self.col_min_x), + knext.Column(knext.double(), self.col_min_y), + knext.Column(knext.double(), self.col_max_x), + knext.Column(knext.double(), self.col_max_y), + ] + ) def execute(self, exec_context: knext.ExecutionContext, input_1): - gdf = gp.GeoDataFrame(input_1.to_pandas(), geometry=self.geo_col) - exec_context.set_progress( - 0.3, "Geo data frame loaded. Starting transformation..." + gdf = knut.load_geo_data_frame(input_1, self.geo_col, exec_context) + bounds = gdf.total_bounds + result = pd.DataFrame( + [bounds], + columns=[self.col_min_x, self.col_min_y, self.col_max_x, self.col_max_y], ) - gdf["geometry"] = gdf.convex_hull - exec_context.set_progress(0.1, "Transformation done") - return knext.Table.from_pandas(gdf) + return knut.to_table(result, exec_context) ############################################ @@ -434,6 +456,7 @@ def execute(self, exec_context: knext.ExecutionContext, input_1): }, ) class UnaryUnionNode: + geo_col = knut.geo_col_parameter( description="Select the geometry column to compute the unary union." ) From 84fe77cf0e50223de40eee864daf10a1b91ecc24 Mon Sep 17 00:00:00 2001 From: Tobias Koetter Date: Fri, 25 Nov 2022 13:17:30 +0100 Subject: [PATCH 03/24] Change version to 1.0 to prepare for release --- knime_extension/knime.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/knime_extension/knime.yml b/knime_extension/knime.yml index 809a86d7..eff4f049 100644 --- a/knime_extension/knime.yml +++ b/knime_extension/knime.yml @@ -4,7 +4,7 @@ author: Lingbo Liu,Xiaokang Fu,Tobias Koetter vendor: SDL, Harvard, Cambridge US description: Geospatial Analytics Extension for KNIME # Human readable bundle name / description long_description: KNIME nodes for processing, analyzing and visualizing Geospatial data. -version: 0.1.0 # Version of this Python node extension +version: 1.0.0 # Version of this Python node extension license_file: LICENSE.TXT # Best practice: put your LICENSE.TXT next to the knime.yml; otherwise you would need to change to path/to/LICENSE.txt extension_module: src/geospatial_ext # The .py Python module containing the nodes of your extension env_yml_path: geospatial_env.yml # This is necessary for bundling, but not needed during development From 7f9adfcf7ab556057e72f18cdb5c3348388d599f Mon Sep 17 00:00:00 2001 From: Tobias Koetter Date: Fri, 25 Nov 2022 13:20:01 +0100 Subject: [PATCH 04/24] Append unique column names --- knime_extension/src/nodes/calculation.py | 32 +++--- knime_extension/src/nodes/conversion.py | 122 +++++++++++++---------- 2 files changed, 87 insertions(+), 67 deletions(-) diff --git a/knime_extension/src/nodes/calculation.py b/knime_extension/src/nodes/calculation.py index 7996536c..41dc023f 100644 --- a/knime_extension/src/nodes/calculation.py +++ b/knime_extension/src/nodes/calculation.py @@ -325,10 +325,10 @@ class BoundsNode: geo_col = knut.geo_col_parameter( description="Select the geometry column to compute the bounds for." ) - c_min_x = "minx" - c_min_y = "miny" - c_max_x = "maxx" - x_max_y = "maxy" + col_min_x = "minx" + col_min_y = "miny" + col_max_x = "maxx" + col_max_y = "maxy" def configure(self, configure_context, input_schema_1): self.geo_col = knut.column_exists_or_preset( @@ -338,19 +338,19 @@ def configure(self, configure_context, input_schema_1): [ knext.Column( knext.double(), - knut.get_unique_column_name(self.c_min_x, input_schema_1), + knut.get_unique_column_name(self.col_min_x, input_schema_1), ), knext.Column( knext.double(), - knut.get_unique_column_name(self.c_min_y, input_schema_1), + knut.get_unique_column_name(self.col_min_y, input_schema_1), ), knext.Column( knext.double(), - knut.get_unique_column_name(self.c_max_x, input_schema_1), + knut.get_unique_column_name(self.col_max_x, input_schema_1), ), knext.Column( knext.double(), - knut.get_unique_column_name(self.c_max_y, input_schema_1), + knut.get_unique_column_name(self.col_max_y, input_schema_1), ), ] ) @@ -360,10 +360,18 @@ def execute(self, exec_context: knext.ExecutionContext, input_1): bounds = gdf.bounds bounds.rename( columns={ - self.c_min_x: knut.get_unique_column_name(self.c_min_x, input_1.schema), - self.c_min_y: knut.get_unique_column_name(self.c_min_y, input_1.schema), - self.c_max_x: knut.get_unique_column_name(self.c_max_x, input_1.schema), - self.c_max_y: knut.get_unique_column_name(self.c_max_y, input_1.schema), + self.col_min_x: knut.get_unique_column_name( + self.col_min_x, input_1.schema + ), + self.col_min_y: knut.get_unique_column_name( + self.col_min_y, input_1.schema + ), + self.col_max_x: knut.get_unique_column_name( + self.col_max_x, input_1.schema + ), + self.col_max_y: knut.get_unique_column_name( + self.col_max_y, input_1.schema + ), }, inplace=True, ) diff --git a/knime_extension/src/nodes/conversion.py b/knime_extension/src/nodes/conversion.py index bffe0457..ac9c084b 100644 --- a/knime_extension/src/nodes/conversion.py +++ b/knime_extension/src/nodes/conversion.py @@ -5,7 +5,6 @@ import knime_extension as knext import util.knime_utils as knut import pyproj as pyp -from shapely.geometry import shape __category = knext.category( @@ -91,23 +90,27 @@ def configure(self, configure_context, input_schema): self.input_column = knut.column_exists_or_preset( configure_context, self.input_column, input_schema, self.column_type_check ) - # check that the output column does NOT exist to prevent overwriting - knut.fail_if_column_exists( - self.DEF_GEO_COL_NAME, - input_schema, - f"Output column '{self.DEF_GEO_COL_NAME}' exists in input table", - ) validate_crs(self.crs) - # we can not return a schema since we do not know the geometric type of the column without parsing all rows + import knime.types.geospatial as gt + + return input_schema.append( + knext.Column( + ktype=knext.logical(gt.GeoValue), + name=knut.get_unique_column_name(self.DEF_GEO_COL_NAME, input_schema), + ) + ) def execute(self, exec_context, input_table): # create GeoDataFrame with the selected column as active geometry column df = input_table.to_pandas() try: # input_column and crs need to be defined in the child class - df[self.DEF_GEO_COL_NAME] = self.converter(df, self.input_column) - gdf = gp.GeoDataFrame(df, geometry=self.DEF_GEO_COL_NAME, crs=self.crs) + result_col_name = knut.get_unique_column_name( + self.DEF_GEO_COL_NAME, input_table.schema + ) + df[result_col_name] = self.converter(df, self.input_column) + gdf = gp.GeoDataFrame(df, geometry=result_col_name, crs=self.crs) except Exception as error: raise RuntimeError( f"Error converting '{self.input_column}' column to geometry: {str(error)}" @@ -231,11 +234,16 @@ def __init__(self): def execute(self, exec_context, input_table): # create GeoDataFrame with the selected column as active geometry column df = input_table.to_pandas() - try: - # input_column and crs need to be defined in the child class - mygdf = gp.read_file(df[self.input_column][0], driver="GeoJSON") - gdf = gp.GeoDataFrame(df, geometry=self.DEF_GEO_COL_NAME, crs=self.crs) + result_col_name = knut.get_unique_column_name( + self.DEF_GEO_COL_NAME, input_table.schema + ) + try: + # read each GeoJson cell and append the result to the table + df[result_col_name] = df[self.input_column].apply( + lambda row: gp.read_file(row, driver="GeoJSON").geometry + ) + gdf = gp.GeoDataFrame(df, geometry=result_col_name, crs=self.crs) except Exception as error: raise RuntimeError( f"Error converting '{self.input_column}' column to geometry: {str(error)}" @@ -285,20 +293,24 @@ class LatLongToGeoNode: crs = crs_input_parameter() - def configure(self, configure_context, input_schema_1): - knut.column_exists(self.lat_col, input_schema_1, knut.is_numeric) - knut.column_exists(self.lon_col, input_schema_1, knut.is_numeric) + def configure(self, configure_context, input_schema): + knut.column_exists(self.lat_col, input_schema, knut.is_numeric) + knut.column_exists(self.lon_col, input_schema, knut.is_numeric) knut.fail_if_column_exists( _ToGeoConverter.DEF_GEO_COL_NAME, - input_schema_1, + input_schema, f"Output column '{_ToGeoConverter.DEF_GEO_COL_NAME}' exists in input table", ) validate_crs(self.crs) + from shapely.geometry import Point - return input_schema_1.append( + return input_schema.append( knext.Column( - ktype=knext.logical(Point), name=_ToGeoConverter.DEF_GEO_COL_NAME + ktype=knext.logical(Point), + name=knut.get_unique_column_name( + _ToGeoConverter.DEF_GEO_COL_NAME, input_schema + ), ) ) @@ -306,14 +318,13 @@ def execute(self, exec_context: knext.ExecutionContext, input_table): # https://geopandas.org/en/stable/docs/user_guide/projections.html#the-axis-order-of-a-crs # In GeoPandas the coordinates are always stored as (x, y), and thus as (lon, lat) order, regardless of the CRS df = input_table.to_pandas() + result_col_name = knut.get_unique_column_name( + _ToGeoConverter.DEF_GEO_COL_NAME, input_table.schema + ) try: # input_column and crs need to be defined in the child class - df[_ToGeoConverter.DEF_GEO_COL_NAME] = gp.points_from_xy( - df[self.lon_col], df[self.lat_col] - ) - gdf = gp.GeoDataFrame( - df, geometry=_ToGeoConverter.DEF_GEO_COL_NAME, crs=self.crs - ) + df[result_col_name] = gp.points_from_xy(df[self.lon_col], df[self.lat_col]) + gdf = gp.GeoDataFrame(df, geometry=result_col_name, crs=self.crs) except Exception as error: raise RuntimeError( f"Error converting '{self.lat_col}' and '{self.lon_col}' column to geometry: {str(error)}" @@ -362,24 +373,26 @@ def configure(self, configure_context, input_schema): self.geo_column = knut.column_exists_or_preset( configure_context, self.geo_column, input_schema, knut.is_geo ) - # check that the output column does NOT exist to prevent overwriting - knut.fail_if_column_exists( - self.column_name, - input_schema, - f"Output column '{self.column_name}' exists in input table", + return input_schema.append( + knext.Column( + self.column_type, + knut.get_unique_column_name(self.column_name, input_schema), + ) ) - return input_schema.append(knext.Column(self.column_type, self.column_name)) def execute(self, exec_context, input_table): # create GeoDataFrame with the selected column as active geometry column gdf = knut.load_geo_data_frame(input_table, self.geo_column, exec_context) # execute the function and append the result + result_col_name = knut.get_unique_column_name( + self.column_name, input_table.schema + ) try: result = self.converter(gdf[self.geo_column]) - gdf[self.column_name] = result + gdf[result_col_name] = result except Exception as error: raise knext.InvalidParametersError( - f"Error converting to {self.column_name}: {str(error)}" + f"Error converting to {result_col_name}: {str(error)}" ) return knut.to_table(gdf, exec_context) @@ -485,13 +498,16 @@ def execute(self, exec_context, input_table): # create GeoDataFrame with the selected column as active geometry column gdf = knut.load_geo_data_frame(input_table, self.geo_column, exec_context) # execute the function and append the result + result_col_name = knut.get_unique_column_name( + self.column_name, input_table.schema + ) try: - gdf[self.column_name] = gdf[self.geo_column].apply( + gdf[result_col_name] = gdf[self.geo_column].apply( lambda e: gp.GeoSeries(e).to_json() ) except Exception as error: raise knext.InvalidParametersError( - f"Error converting to {self.column_name}: {str(error)}" + f"Error converting to {result_col_name}: {str(error)}" ) return knut.to_table(gdf, exec_context) @@ -531,34 +547,30 @@ class GeoToLatLongNode: col_lat = "lat" col_lon = "lon" - def configure(self, configure_context, input_schema_1): + def configure(self, configure_context, input_schema): self.geo_col = knut.column_exists_or_preset( - configure_context, self.geo_col, input_schema_1, knut.is_geo_point - ) - knut.fail_if_column_exists( - self.col_lat, - input_schema_1, - f"Output column '{self.col_lat}' exists in input table", - ) - knut.fail_if_column_exists( - self.col_lon, - input_schema_1, - f"Output column '{self.col_lon}' exists in input table", + configure_context, self.geo_col, input_schema, knut.is_geo_point ) - return input_schema_1.append( + return input_schema.append( [ - knext.Column(knext.double(), self.col_lat), - knext.Column(knext.double(), self.col_lon), + knext.Column( + knext.double(), + knut.get_unique_column_name(self.col_lat, input_schema), + ), + knext.Column( + knext.double(), + knut.get_unique_column_name(self.col_lon, input_schema), + ), ] ) - def execute(self, exec_context: knext.ExecutionContext, input_1): - gdf = knut.load_geo_data_frame(input_1, self.geo_col, exec_context) + def execute(self, exec_context: knext.ExecutionContext, input): + gdf = knut.load_geo_data_frame(input, self.geo_col, exec_context) gs = gdf.loc[:, self.geo_col] # https://geopandas.org/en/stable/docs/user_guide/projections.html#the-axis-order-of-a-crs # In GeoPandas the coordinates are always stored as (x, y), and thus as (lon, lat) order, regardless of the CRS # However the standard order for EPSG:4326 is latitude, longitude which is why we use this order in the output # Also the ISO 6709 standard (https://en.wikipedia.org/wiki/ISO_6709) uses this order - gdf[self.col_lat] = gs.y - gdf[self.col_lon] = gs.x + gdf[knut.get_unique_column_name(self.col_lat, input.schema)] = gs.y + gdf[knut.get_unique_column_name(self.col_lon, input.schema)] = gs.x return knut.to_table(gdf, exec_context) From fc3d833b088038c0acf9d32de22e9dd49d9dab7c Mon Sep 17 00:00:00 2001 From: Tobias Koetter Date: Fri, 25 Nov 2022 13:20:19 +0100 Subject: [PATCH 05/24] Use util methods --- knime_extension/src/nodes/transform.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/knime_extension/src/nodes/transform.py b/knime_extension/src/nodes/transform.py index 50e39787..698b2d4c 100644 --- a/knime_extension/src/nodes/transform.py +++ b/knime_extension/src/nodes/transform.py @@ -69,13 +69,12 @@ def configure(self, configure_context, input_schema_1): ) return input_schema_1 - def execute(self, exec_context: knext.ExecutionContext, input_1): - gdf = gp.GeoDataFrame(input_1.to_pandas(), geometry=self.geo_col) - exec_context.set_progress(0.3, "Geo data frame loaded. Starting projection...") + def execute(self, exec_context: knext.ExecutionContext, input_table): + gdf = knut.load_geo_data_frame(input_table, self.geo_col, exec_context) gdf = gdf.to_crs(self.new_crs) - exec_context.set_progress(0.1, "Projection done") + crs = gdf.crs LOGGER.debug("CRS converted to " + self.new_crs) - return knext.Table.from_pandas(gdf) + return knut.to_table(gdf, exec_context) ############################################ From b7b4c3458464f0670ff7c97e264d9ccacd8a8cdc Mon Sep 17 00:00:00 2001 From: UrbanGISer Date: Sun, 27 Nov 2022 11:58:38 -0500 Subject: [PATCH 06/24] update US tiger --- knime_extension/src/nodes/opendata.py | 208 +++++++++++++------------- 1 file changed, 104 insertions(+), 104 deletions(-) diff --git a/knime_extension/src/nodes/opendata.py b/knime_extension/src/nodes/opendata.py index a401d9b3..746269de 100644 --- a/knime_extension/src/nodes/opendata.py +++ b/knime_extension/src/nodes/opendata.py @@ -94,112 +94,112 @@ def execute(self, exec_context: knext.ExecutionContext): USdict = pd.DataFrame.from_dict( { "state": [ - "01", - "02", - "04", - "05", - "06", - "08", - "09", - "10", - "11", - "12", - "13", - "15", - "16", - "17", - "18", - "19", - "20", - "21", - "22", - "23", - "24", - "25", - "26", - "27", - "28", - "29", - "30", - "31", - "32", - "33", - "34", - "35", - "36", - "37", - "38", - "39", - "40", - "41", - "42", - "44", - "45", - "46", - "47", - "48", - "49", - "50", - "51", - "53", - "54", - "55", - "56", - "72", + '01', + '02', + '04', + '05', + '06', + '08', + '09', + '10', + '11', + '12', + '13', + '15', + '16', + '17', + '18', + '19', + '20', + '21', + '22', + '23', + '24', + '25', + '26', + '27', + '28', + '29', + '30', + '31', + '32', + '33', + '34', + '35', + '36', + '37', + '38', + '39', + '40', + '41', + '42', + '44', + '45', + '46', + '47', + '48', + '49', + '50', + '51', + '53', + '54', + '55', + '56', + '72', ], "stateName": [ - "ALABAMA", - "ALASKA", - "ARIZONA", - "ARKANSAS", - "CALIFORNIA", - "COLORADO", - "CONNECTICUT", - "DELAWARE", - "COLUMBIA", - "FLORIDA", - "GEORGIA", - "HAWAII", - "IDAHO", - "ILLINOIS", - "INDIANA", - "IOWA", - "KANSAS", - "KENTUCKY", - "LOUISIANA", - "MAINE", - "MARYLAND", - "MASSACHUSETTS", - "MICHIGAN", - "MINNESOTA", - "MISSISSIPPI", - "MISSOURI", - "MONTANA", - "NEBRASKA", - "NEVADA", - "HAMPSHIRE", - "JERSEY", - "MEXICO", - "YORK", - "CAROLINA", - "DAKOTA", - "OHIO", - "OKLAHOMA", - "OREGON", - "PENNSYLVANIA", - "ISLAND", - "CAROLINA", - "DAKOTA", - "TENNESSEE", - "TEXAS", - "UTAH", - "VERMONT", - "VIRGINIA", - "WASHINGTON", - "VIRGINIA", - "WISCONSIN", - "WYOMING", - "RICO", + 'ALABAMA', + 'ALASKA', + 'ARIZONA', + 'ARKANSAS', + 'CALIFORNIA', + 'COLORADO', + 'CONNECTICUT', + 'DELAWARE', + 'DISTRICT_OF_COLUMBIA', + 'FLORIDA', + 'GEORGIA', + 'HAWAII', + 'IDAHO', + 'ILLINOIS', + 'INDIANA', + 'IOWA', + 'KANSAS', + 'KENTUCKY', + 'LOUISIANA', + 'MAINE', + 'MARYLAND', + 'MASSACHUSETTS', + 'MICHIGAN', + 'MINNESOTA', + 'MISSISSIPPI', + 'MISSOURI', + 'MONTANA', + 'NEBRASKA', + 'NEVADA', + 'NEW_HAMPSHIRE', + 'NEW_JERSEY', + 'NEW_MEXICO', + 'NEW_YORK', + 'NORTH_CAROLINA', + 'NORTH_DAKOTA', + 'OHIO', + 'OKLAHOMA', + 'OREGON', + 'PENNSYLVANIA', + 'RHODE_ISLAND', + 'SOUTH_CAROLINA', + 'SOUTH_DAKOTA', + 'TENNESSEE', + 'TEXAS', + 'UTAH', + 'VERMONT', + 'VIRGINIA', + 'WASHINGTON', + 'WEST_VIRGINIA', + 'WISCONSIN', + 'WYOMING', + 'PUERTO_RICO', ], } ) From 74abc4a03751a1fca48c9415183d26ce733a17a3 Mon Sep 17 00:00:00 2001 From: UrbanGISer Date: Sun, 27 Nov 2022 13:03:42 -0500 Subject: [PATCH 07/24] revise US Tiger --- knime_extension/src/nodes/opendata.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/knime_extension/src/nodes/opendata.py b/knime_extension/src/nodes/opendata.py index 746269de..3b1e732a 100644 --- a/knime_extension/src/nodes/opendata.py +++ b/knime_extension/src/nodes/opendata.py @@ -50,13 +50,13 @@ class US2020TIGERNode: StateFips = knext.StringParameter( label="State FIPS (2-digits)", description="The State to use", - default_value="25", + default_value="", ) County3Fips = knext.StringParameter( "County FIPS(3-digits)/ or State FIPS ", "The County/State FIPS code to use", - "017", + "", ) geofile = knext.StringParameter( @@ -70,7 +70,7 @@ class US2020TIGERNode:
  • State: state10,state20, for US State in 2010 and 2020,same as County.
  • """, - default_value="bg20", + default_value="", enum=[ "bg10", "bg20", @@ -212,7 +212,7 @@ def execute(self, exec_context: knext.ExecutionContext): base_url = "https://www2.census.gov/geo/tiger/TIGER2020PL/STATE/" - if self.StateFips != self.County3Fips: + if self.StateFips != self.County3Fips and self.County3Fips != "*": data_url = f"{base_url}{Statepath}/{County5Fips}/tl_2020_{County5Fips}_{self.geofile}.zip" else: County5Fips = self.StateFips From 03b98850028f80f7622a18b1d1a798af00278383 Mon Sep 17 00:00:00 2001 From: Tobias Koetter Date: Wed, 30 Nov 2022 13:10:14 +0100 Subject: [PATCH 08/24] Add short description to each node --- knime_extension/src/nodes/spatialmodels.py | 36 +++++++++---------- .../src/nodes/spatialstatistics.py | 23 ++++++------ knime_extension/src/nodes/spatialtool.py | 6 ++-- knime_extension/src/nodes/visualize.py | 14 ++++---- 4 files changed, 39 insertions(+), 40 deletions(-) diff --git a/knime_extension/src/nodes/spatialmodels.py b/knime_extension/src/nodes/spatialmodels.py index 5abc7aaf..63ed77b0 100644 --- a/knime_extension/src/nodes/spatialmodels.py +++ b/knime_extension/src/nodes/spatialmodels.py @@ -65,8 +65,8 @@ description="Model Summary View of Spatial 2SlS", ) class Spatial2SLSModel: - """ - Spatial two stage least squares (S2SLS) with results and diagnostics; Anselin (1988) + """Spatial two stage least squares (S2SLS) with results and diagnostics. + Spatial two stage least squares (S2SLS) with results and diagnostics; Anselin (1988). """ # input parameters @@ -220,8 +220,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, input_2): description="Model Summary for Spatial Lag Panel Model with Fixed Effects", ) class SpatialLagPanelModelwithFixedEffects: - """ - Spatial Lag Panel Model with Fixed Effects + """Spatial Lag Panel Model with Fixed Effects. + Spatial Lag Panel Model with Fixed Effects. """ geo_col = knut.geo_col_parameter() @@ -344,8 +344,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, input_2): description="Model Summary for Spatial Error Panel Model with Fixed Effects", ) class SpatialErrorPanelModelwithFixedEffects: - """ - Spatial Error Panel Model with Fixed Effects node + """Spatial Error Panel Model with Fixed Effects node. + Spatial Error Panel Model with Fixed Effects node. """ geo_col = knut.geo_col_parameter() @@ -468,8 +468,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, input_2): description="Model Summary for Geographically Weighted Regression", ) class GeographicallyWeightedRegression: - """ - Geographically Weighted Regression node + """Geographically Weighted Regression node. + Geographically Weighted Regression node. """ geo_col = knut.geo_col_parameter() @@ -597,8 +597,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1): description="Output table for Geographically Weighted Regression Predictor", ) class GeographicallyWeightedRegressionPredictor: - """ - Geographically Weighted Regression Predictor node + """Geographically Weighted Regression Predictor node. + Geographically Weighted Regression Predictor node. """ geo_col = knut.geo_col_parameter() @@ -660,8 +660,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, model): description="Model Summary for Multiscale Geographically Weighted Regression", ) class MultiscaleGeographicallyWeightedRegression: - """ - Multiscale Geographically Weighted Regression node + """Multiscale Geographically Weighted Regression node. + Multiscale Geographically Weighted Regression node. """ geo_col = knut.geo_col_parameter() @@ -870,8 +870,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1): description="Model summary view of the spatial OLS model.", ) class SpatialOLS: - """ - Spatial OLS + """Spatial OLS node. + Spatial OLS node. """ geo_col = knut.geo_col_parameter() @@ -994,8 +994,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, input_2): description="Model summary view of the spatial ML_Lag model.", ) class SpatialML_Lag: - """ - Spatial ML_Lag + """Spatial ML_Lag. + Spatial ML_Lag. """ geo_col = knut.geo_col_parameter() @@ -1117,8 +1117,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, input_2): description="Model summary view of the spatial ML_Error model.", ) class SpatialML_Error: - """ - Spatial ML_Error + """Spatial ML_Error. + Spatial ML_Error. """ geo_col = knut.geo_col_parameter() diff --git a/knime_extension/src/nodes/spatialstatistics.py b/knime_extension/src/nodes/spatialstatistics.py index 9ec82f4e..2d95b7a1 100644 --- a/knime_extension/src/nodes/spatialstatistics.py +++ b/knime_extension/src/nodes/spatialstatistics.py @@ -44,8 +44,7 @@ @knext.input_table(name="Geo table", description="Table with geometry column") @knext.output_table(name="Spatial Weights", description="Spatial Weights") class spatialWeights: - """ - + """This node constructs a contiguity spatial weights matrix from the input data. This node constructs a contiguity spatial weights matrix from the input data. """ @@ -244,8 +243,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1): description="Output view of Global Moran's I", ) class GlobalMoransI: - """ - Global Moran's I + """Global Moran's I. + Global Moran's I. """ # input parameters @@ -320,8 +319,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, input_2): description="Output view of Local Moran's I", ) class LocalMoransI: - """ - Local Moran's I + """Local Moran's I. + Local Moran's I. """ # input parameters @@ -424,8 +423,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, input_2): description="Output view of Global Geary’s C", ) class GlobalGearysC: - """ - Global Geary’s C + """Global Geary’s C. + Global Geary’s C. """ # input parameters @@ -503,8 +502,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, input_2): description="Output view of Global Getis-Ord", ) class GlobalGetisOrd: - """ - Global Getis-Ord + """Global Getis-Ord. + Global Getis-Ord. """ # input parameters @@ -582,8 +581,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1, input_2): description="Output view of Local Getis-Ord", ) class LocalGetisOrd: - """ - Local Getis-Ord + """Local Getis-Ord. + Local Getis-Ord. """ # input parameters diff --git a/knime_extension/src/nodes/spatialtool.py b/knime_extension/src/nodes/spatialtool.py index db36cd20..1faca5ec 100644 --- a/knime_extension/src/nodes/spatialtool.py +++ b/knime_extension/src/nodes/spatialtool.py @@ -865,8 +865,8 @@ def execute(self, exec_context: knext.ExecutionContext, input_1): description="Output table of Create Grid", ) class CreateGrid: - """ - Create Grid + """Create Grid node. + This node creates an even grid like geospatial object. """ geo_col = knut.geo_col_parameter() @@ -937,7 +937,7 @@ def execute(self, exec_context: knext.ExecutionContext, input_table): description="Output table containing haversine distance", ) class HaversineDistGrid: - """ + """Calculates the Haversine Distance. Calculates the [Haversine Distance](https://en.wikipedia.org/wiki/Haversine_formula). """ diff --git a/knime_extension/src/nodes/visualize.py b/knime_extension/src/nodes/visualize.py index 2d257e06..10359e9c 100644 --- a/knime_extension/src/nodes/visualize.py +++ b/knime_extension/src/nodes/visualize.py @@ -241,7 +241,7 @@ class LegendSettings: description="Showing a interactive map with the geospatial data", ) class ViewNode: - """ + """Creates an interactive map view based on the selected geometric elements of the input table. This node creates an interactive map view based on the selected geometric elements of the input table. """ @@ -557,7 +557,7 @@ class StaticColorSettings: min_value=1, max_value=50, ) - + edge_color = knext.StringParameter( "Edge color", "Set the edge color. See [Colormaps in Matplotlib](https://matplotlib.org/stable/tutorials/colors/colormaps.html).", @@ -588,7 +588,6 @@ class StaticColorSettings: ) - @knext.parameter_group(label="Legend Settings") class StaticLegendSettings: """ @@ -735,7 +734,7 @@ class StaticLegendSettings: name="Geospatial View", description="Showing a map with the geospatial data" ) class ViewNodeStatic: - """ + """Creates a static map of the given geometric elements. This node will visualize the given geometric elements on a static map. """ @@ -927,8 +926,9 @@ def execute(self, exec_context: knext.ExecutionContext, input_table): name="Geospatial View", description="Showing a map with the geospatial data" ) class ViewNodeKepler: - """ - This node will visualize the given geometric elements on a map. + """This node will visualize the given geometric elements on a map. + This node will visualize the given geometric elements on a map using the [kepler.gl](https://kepler.gl/) + visualization framework. """ geo_col = knext.ColumnParameter( @@ -1007,7 +1007,7 @@ def execute(self, exec_context: knext.ExecutionContext, input_table): ) @knext.output_view(name="Heatmap View", description="Showing a heatmap with the data") class ViewNodeHeatmap: - """ + """This node will visualize the given data on a heatmap. This node will visualize the given data on a heatmap. Please find more information about the heatmap [here](https://www.gislounge.com/heat-maps-in-gis/). """ From 77026fab58d0c287141c91c5b9dda4e0d96e3159 Mon Sep 17 00:00:00 2001 From: Tobias Koetter Date: Wed, 30 Nov 2022 13:15:49 +0100 Subject: [PATCH 09/24] Introduce geospatial type constants --- knime_extension/src/util/knime_utils.py | 48 ++++++++++++------------- 1 file changed, 24 insertions(+), 24 deletions(-) diff --git a/knime_extension/src/util/knime_utils.py b/knime_extension/src/util/knime_utils.py index 257132dd..9f3ffb8e 100644 --- a/knime_extension/src/util/knime_utils.py +++ b/knime_extension/src/util/knime_utils.py @@ -36,17 +36,17 @@ # Geometry value types ############################################ -# TYPE_GEO = knext.logical(gt.GeoValue) +TYPE_GEO = knext.logical(gt.GeoValue) -# TYPE_POINT = knext.logical(Point) -# TYPE_LINE = knext.logical(LineString) -# TYPE_POLYGON = knext.logical(Polygon) +TYPE_POINT = knext.logical(Point) +TYPE_LINE = knext.logical(LineString) +TYPE_POLYGON = knext.logical(Polygon) -# TYPE_MULTI_POINT = knext.logical(MultiPoint) -# TYPE_MULTI_LINE = knext.logical(MultiLineString) -# TYPE_MULTI_POLYGON = knext.logical(MultiPolygon) +TYPE_MULTI_POINT = knext.logical(MultiPoint) +TYPE_MULTI_LINE = knext.logical(MultiLineString) +TYPE_MULTI_POLYGON = knext.logical(MultiPolygon) -# TYPE_GEO_COLLECTION = knext.logical(GeometryCollection) +TYPE_GEO_COLLECTION = knext.logical(GeometryCollection) ############################################ @@ -56,14 +56,14 @@ __DEF_GEO_COL_LABEL = "Geometry column" __DEF_GEO_COL_DESC = "Select the geometry column to use" -__TYPE_GEO = "org.knime.geospatial.core.data.cell.Geo" -__TYPE_POINT = "GeoPointCell" -__TYPE_LINE = "GeoLineCell" -__TYPE_POLYGON = "GeoPolygonCell" -__TYPE_COLLECTION = "GeoCollectionCell" -__TYPE_MULTI_POINT = "GeoMultiPointCell" -__TYPE_MULTI_LINE = "GeoMultiLineCell" -__TYPE_MULTI_POLYGON = "GeoMultiPolygonCell" +__CELL_TYPE_GEO = "org.knime.geospatial.core.data.cell.Geo" +__CELL_TYPE_POINT = "GeoPointCell" +__CELL_TYPE_LINE = "GeoLineCell" +__CELL_TYPE_POLYGON = "GeoPolygonCell" +__CELL_TYPE_COLLECTION = "GeoCollectionCell" +__CELL_TYPE_MULTI_POINT = "GeoMultiPointCell" +__CELL_TYPE_MULTI_LINE = "GeoMultiLineCell" +__CELL_TYPE_MULTI_POLYGON = "GeoMultiPolygonCell" def geo_point_col_parameter( @@ -162,7 +162,7 @@ def is_geo(column: knext.Column) -> bool: GeoPointCell, GeoLineCell, GeoPolygonCell, GeoMultiPointCell, GeoMultiLineCell, GeoMultiPolygonCell, ... @return: True if Column Type is GeoValue compatible """ - return __is_type_x(column, __TYPE_GEO) + return __is_type_x(column, __CELL_TYPE_GEO) def is_geo_point(column: knext.Column) -> bool: @@ -170,7 +170,7 @@ def is_geo_point(column: knext.Column) -> bool: Checks if column is a GeoPointCell. @return: True if Column Type is a GeoPointCell """ - return __is_type_x(column, __TYPE_POINT) + return __is_type_x(column, __CELL_TYPE_POINT) def is_geo_line(column: knext.Column) -> bool: @@ -178,7 +178,7 @@ def is_geo_line(column: knext.Column) -> bool: Checks if column is a GeoLineCell. @return: True if Column Type is a GeoLineCell """ - return __is_type_x(column, __TYPE_LINE) + return __is_type_x(column, __CELL_TYPE_LINE) def is_geo_polygon(column: knext.Column) -> bool: @@ -186,7 +186,7 @@ def is_geo_polygon(column: knext.Column) -> bool: Checks if column is a GeoPolygonCell. @return: True if Column Type is a GeoPolygonCell """ - return __is_type_x(column, __TYPE_POLYGON) + return __is_type_x(column, __CELL_TYPE_POLYGON) def is_geo_collection(column: knext.Column) -> bool: @@ -194,7 +194,7 @@ def is_geo_collection(column: knext.Column) -> bool: Checks if column is a GeoCollectionCell. @return: True if Column Type is a GeoCollectionCell """ - return __is_type_x(column, __TYPE_COLLECTION) + return __is_type_x(column, __CELL_TYPE_COLLECTION) def is_geo_multi_point(column: knext.Column) -> bool: @@ -202,7 +202,7 @@ def is_geo_multi_point(column: knext.Column) -> bool: Checks if column is a GeoMultiPointCell. @return: True if Column Type is a GeoMultiPointCell """ - return __is_type_x(column, __TYPE_MULTI_POINT) + return __is_type_x(column, __CELL_TYPE_MULTI_POINT) def is_geo_multi_line(column: knext.Column) -> bool: @@ -210,7 +210,7 @@ def is_geo_multi_line(column: knext.Column) -> bool: Checks if column is a GeoMultiLineCell. @return: True if Column Type is a GeoMultiLineCell """ - return __is_type_x(column, __TYPE_MULTI_LINE) + return __is_type_x(column, __CELL_TYPE_MULTI_LINE) def is_geo_multi_polygon(column: knext.Column) -> bool: @@ -218,7 +218,7 @@ def is_geo_multi_polygon(column: knext.Column) -> bool: Checks if column is a GeoMultiPolygonCell. @return: True if Column Type is a GeoMultiPolygonCell """ - return __is_type_x(column, __TYPE_MULTI_POLYGON) + return __is_type_x(column, __CELL_TYPE_MULTI_POLYGON) def __is_type_x(column: knext.Column, type: str) -> bool: From a6a4217d401faf0c442443a62364ce96397b28cf Mon Sep 17 00:00:00 2001 From: Tobias Koetter Date: Wed, 30 Nov 2022 13:15:49 +0100 Subject: [PATCH 10/24] Remove external dependencies from Leaflet based views --- .../leaflet/1.6.0/bootstrap-theme.min.css | 5 + .../libs/leaflet/1.6.0/bootstrap.min.css | 5 + .../libs/leaflet/1.6.0/bootstrap.min.js | 6 + .../libs/leaflet/1.6.0/font-awesome.min.css | 4 + .../libs/leaflet/1.6.0/images/layers.png | Bin 0 -> 696 bytes .../libs/leaflet/1.6.0/jquery-1.12.4.min.js | 5 + .../leaflet/1.6.0/leaflet.awesome-markers.css | 124 ++++ .../leaflet/1.6.0/leaflet.awesome-markers.js | 125 ++++ .../1.6.0/leaflet.awesome.rotate.min.css | 8 + .../libs/leaflet/1.6.0/leaflet.css | 640 ++++++++++++++++++ knime_extension/libs/leaflet/1.6.0/leaflet.js | 5 + .../libs/leaflet/1.6.0/leaflet_heat.min.js | 13 + knime_extension/src/nodes/visualize.py | 65 +- 13 files changed, 997 insertions(+), 8 deletions(-) create mode 100644 knime_extension/libs/leaflet/1.6.0/bootstrap-theme.min.css create mode 100644 knime_extension/libs/leaflet/1.6.0/bootstrap.min.css create mode 100644 knime_extension/libs/leaflet/1.6.0/bootstrap.min.js create mode 100644 knime_extension/libs/leaflet/1.6.0/font-awesome.min.css create mode 100644 knime_extension/libs/leaflet/1.6.0/images/layers.png create mode 100644 knime_extension/libs/leaflet/1.6.0/jquery-1.12.4.min.js create mode 100644 knime_extension/libs/leaflet/1.6.0/leaflet.awesome-markers.css create mode 100644 knime_extension/libs/leaflet/1.6.0/leaflet.awesome-markers.js create mode 100644 knime_extension/libs/leaflet/1.6.0/leaflet.awesome.rotate.min.css create mode 100644 knime_extension/libs/leaflet/1.6.0/leaflet.css create mode 100644 knime_extension/libs/leaflet/1.6.0/leaflet.js create mode 100644 knime_extension/libs/leaflet/1.6.0/leaflet_heat.min.js diff --git a/knime_extension/libs/leaflet/1.6.0/bootstrap-theme.min.css b/knime_extension/libs/leaflet/1.6.0/bootstrap-theme.min.css new file mode 100644 index 00000000..2e97597c --- /dev/null +++ b/knime_extension/libs/leaflet/1.6.0/bootstrap-theme.min.css @@ -0,0 +1,5 @@ +/*! + * Bootstrap v3.2.0 (http://getbootstrap.com) + * Copyright 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