Assembly Manager

The Assembly Manager can be found by clicking the flange icon on the toolbar.

Assembly Manager on Toolbar

The Assembly Manager is largely controlled from an Excel workbook that is saved inside the plugin by default. The workbook contains three sheets; an Assembly List, a Filter List and a Parameter List.

Assembly Manager

A list of fittings is made by combining a selected point layer with the Assembly List and filtering out any fittings that meet the criteria listed in the Filter List sheet (default examples include reducers that have the same size or SDR transitions that have the same SDR).

Assembly Manager Results

Algorithms

1 Bends

Identifies all bends per corridor in a given network layer.

1.1 Parameters

Label Name Type Description
Input layer INPUT [vector: line] Line layer user wishes to identify bends on
ID Field ID_FIELD [tablefield: any] Default: Not set Field containing unique identifiers on line layer
Minimum Bend Angle (degrees) MIN_ANGLE [numeric: double] Default: 30 Bends with angles smaller than this value will be discarded
ID Expression ID_EXPRESSION [expression] Default: “CONCAT(‘BEND_‘,LPAD($id,5,’00000’))” ID expression for each bend.

1.2 Outputs

Label Name Type Description
Bends OUTPUT [vector: point] Returns a point layer containing all identified bends along with their angle

1.3 Python Code


import processing

processing.run("algorithm_id", {parameters_dictionary})

2 Tees

Identifies all tee junctions in a given network layer.

2.1 Parameters

Label Name Type Description
Input layer INPUT [vector: line] Line layer user wishes to identify junctions on
ID Field ID_FIELD [tablefield: any] Default: Not set Field containing unique identifiers on line layer
ID Expression ID_EXPRESSION [expression] Default: “CONCAT(‘JUNCTION_‘,LPAD($id,5,’00000’))” ID expression for each junction.

2.2 Outputs

Label Name Type Description
Tees OUTPUT [vector: point] Returns a point layer containing all identified Tee Junctions

2.3 Python Code


import processing

processing.run("algorithm_id", {parameters_dictionary})

3 Four Way Unions

Identifies all four way junctions in a given network layer.

3.1 Parameters

Label Name Type Description
Input layer INPUT [vector: line] Line layer user wishes to identify junctions on
ID Field ID_FIELD [tablefield: any] Default: Not set Field containing unique identifiers on line layer
ID Expression ID_EXPRESSION [expression] Default: “CONCAT(‘JUNCTION_‘,LPAD($id,5,’00000’))” ID expression for each junction.

3.2 Outputs

Label Name Type Description
Unions OUTPUT [vector: point] Returns a point layer containing all identified four way junctions

3.3 Python Code


import processing

processing.run("algorithm_id", {parameters_dictionary})

4 Add Attributes to Layer

Pulls data from one layer and attaches it to another - useful for populating tees, bends and four way union layers with associated line sizing.

4.1 Parameters

Label Name Type Description
Layer with Attributes ATTRIBUTES_LAYER [vector: any] Layer containing fields with attributes.
Attribute Layer ID Field ATTRIBUTE_ID_FIELD [tablefield: any] Default: Not set Field that with value in selected fields on second layer.
Attribute Fields to Copy FIELDS_TO_COPY [tablefield: any] [list] Fields to add to second layer.
Layer to Add Attributes To ATTRIBUTED_LAYER [vector: any] ID expression for each junction.
Fields Containing Attributes ATTRIBUTE_FIELDS [tablefield: any] [list] Fields that will be matched up to ID field from original layer

4.2 Outputs

Label Name Type Description
Layer With Attributes Added OUTPUT [vector: any] Returns a layer with all values copied over

4.3 Python Code


import processing

processing.run("algorithm_id", {parameters_dictionary})