First commit of the workflow module
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Alireza Adli
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96a09e1487
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192
handle_mtl_ds_workflow.py
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handle_mtl_ds_workflow.py
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from scrub_layer_class import *
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from basic_functions import *
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qgis_path = 'C:/Program Files/QGIS 3.34.1/apps/qgis'
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# Gathering input data layers paths
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input_paths = {
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'NRCan':
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'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/'
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'data/input_data/nrcan/Autobuilding_QC_VILLE_MONTREAL.shp',
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'GeoIndex':
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'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/'
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'data/input_data/Geoindex_81670/mamh_usage_predo_2022_s_poly.shp',
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'Property Assessment':
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'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/'
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'data/input_data/property_assessment/uniteevaluationfonciere.shp',
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'Montreal Boundary':
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'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/'
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'data/input_data/montreal_boundary/Montreal_boundary.shp'
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}
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# Defining a directory for all the output data layers
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output_paths_dir = \
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'C:/Users/a_adli/PycharmProjects/hydroquebec_archetype_gispy/' \
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'data/gisoo_workflow_output_2'
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# Preparing a bedding for output data layers paths
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output_paths = {
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'Fixed NRCan': '',
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'Fixed GeoIndex': '',
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'Clipped Fixed GeoIndex': '',
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'Splitted NRCans': '',
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'Pairwise Clipped Property Assessment Partitions': '',
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'Pairwise Clipped Merged Property Assessment': '',
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'Property Assessment and NRCan': '',
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'Property Assessment and NRCan and GeoIndex': '',
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'Deleted Duplicates Layer': '',
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'Singled Parts Layer': ''
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}
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# Making folders for the output data layers
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create_output_folders(output_paths, output_paths_dir)
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# Initialize the input data layers
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nrcan = ScrubLayer(qgis_path, input_paths['NRCan'], 'NRCan')
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geo_index = ScrubLayer(qgis_path, input_paths['GeoIndex'], 'GeoIndex')
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property_assessment = \
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ScrubLayer(
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qgis_path, input_paths['Property Assessment'], 'Property Assessment')
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montreal_boundary = \
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ScrubLayer(qgis_path, input_paths['Montreal Boundary'], 'Montreal Boundary')
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# Processing the NRCan layer includes fixing its geometries
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print('Processing the NRCan layer')
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print(f'Data Count of the NRCan layer: {nrcan.data_count}')
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nrcan.create_spatial_index()
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nrcan.fix_geometries(output_paths['Fixed NRCan'])
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# Defining a new layer for the fixed NRCan
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nrcan_fixed = \
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ScrubLayer(qgis_path, output_paths['Fixed NRCan'], 'Fixed NRCan')
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nrcan_fixed.create_spatial_index()
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print(f'Data Count of the NRCan layer after fixing geometries '
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f'({nrcan_fixed.layer_name}): {nrcan_fixed.data_count}')
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# Processing the GeoIndex layer includes fixing its geometries and
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# clipping it based on the Montreal boundary data layer
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print('Processing the GeoIndex layer')
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print(f'Data Count of the GeoIndex layer: {geo_index.data_count}')
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geo_index.create_spatial_index()
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geo_index.fix_geometries(output_paths['Fixed GeoIndex'])
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# Defining a new layer for the fixed GeoIndex
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geo_index_fixed = ScrubLayer(qgis_path, output_paths['Fixed GeoIndex'],
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'Fixed GeoIndex')
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geo_index_fixed.create_spatial_index()
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print(f'Data Count of the GeoIndex layer after fixing geometries '
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f'({geo_index_fixed.layer_name}): {geo_index_fixed.data_count}')
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geo_index_fixed.clip_layer(montreal_boundary.layer_path,
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output_paths['Clipped Fixed GeoIndex'])
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geo_index_clipped = \
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ScrubLayer(qgis_path,
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output_paths['Clipped Fixed GeoIndex'], 'Clipped Fixed GeoIndex')
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geo_index_clipped.create_spatial_index()
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print(f'Data Count of the {geo_index_fixed.layer_name} '
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f' after clipping it '
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f'based on the Montreal Boundary layer ({geo_index_clipped.layer_name}): '
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f'{geo_index_clipped.layer.featureCount()}')
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# Processing the Property Assessment layer includes a pairwise clip, and
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# two spatial join with NRCan and GeoIndex layers, respectively
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print(f'Data Count of the Property Assessment layer:'
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f' {property_assessment.data_count}')
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property_assessment.create_spatial_index()
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# For the pairwise clip, number of overlaying layers can be chosen
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# (meaning number of splits for NRCan layer). This improves the performance
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# where may increase duplicates. This has been done because using the NRCan
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# layer as a whole causes crashing the clipping process.
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# First we split the overlaying layers into our desired number
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nrcan_fixed.split_layer(120, output_paths['Splitted NRCans'])
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# Clipping have to be done in
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clipping_property_assessment = """
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from input_paths_and_layers import *
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property_assessment.clip_by_multiple(
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120, output_paths['Splitted NRCans'],
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output_paths['Pairwise Clipped Property Assessment Partitions'])"""
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exec(clipping_property_assessment)
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property_assessment.merge_layers(
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output_paths['Pairwise Clipped Property Assessment Partitions'],
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output_paths['Pairwise Clipped Merged Property Assessment'])
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clipped_property_assessment = ScrubLayer(
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qgis_path,
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output_paths['Pairwise Clipped Merged Property Assessment'],
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'Clipped Property Assessment')
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print(f'Data Count of the Property Assessment layer '
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f'after the pairwise clipped with NRCan layer '
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f'({clipped_property_assessment.layer_name}):'
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f' {clipped_property_assessment.data_count}')
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clipped_property_assessment.create_spatial_index()
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clipped_property_assessment.spatial_join(
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nrcan_fixed.layer_path,
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output_paths['Property Assessment and NRCan'])
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property_assessment_nrcan = ScrubLayer(
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qgis_path,
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output_paths['Property Assessment and NRCan'],
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'Property Assessment and NRCan')
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print(f'Data Count of the Property Assessment layer '
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f'after its spatial join with NRCan layer '
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f'({property_assessment_nrcan.layer_name}):'
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f' {property_assessment_nrcan.data_count}')
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property_assessment_nrcan.create_spatial_index()
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property_assessment_nrcan.spatial_join(
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geo_index_clipped,
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output_paths['Property Assessment and NRCan and GeoIndex'])
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property_assessment_nrcan_geo = ScrubLayer(
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qgis_path,
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output_paths['Property Assessment and NRCan and GeoIndex'],
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'Property Assessment and NRCan and GeoIndex')
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print(f'Data Count of the Property Assessment-NRCan layer '
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f'after its spatial join with GeoIndex layer:'
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f' {property_assessment_nrcan_geo.data_count}\n'
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f'Name of the new layer: '
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f'{property_assessment_nrcan_geo.layer_name}')
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property_assessment_nrcan_geo.create_spatial_index()
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property_assessment_nrcan_geo.delete_duplicates(
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output_paths['Deleted Duplicates Layer'])
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deleted_dups_layer = ScrubLayer(
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qgis_path,
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output_paths['Deleted Duplicates Layer'],
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'Deleted Duplicates Layer')
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print(f'Data Count of the Property Assessment-NRCan-GeoIndex layer '
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f'after deleting duplicates: {deleted_dups_layer.data_count}\n'
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f'Name of the new layer: '
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f'{deleted_dups_layer.layer_name}')
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property_assessment_nrcan_geo.create_spatial_index()
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property_assessment_nrcan_geo.multipart_to_singleparts(
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output_paths['Single Parts Layer'])
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single_parts_layer = ScrubLayer(
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qgis_path,
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output_paths['Single Parts Layer'],
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'Single Parts Layer')
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print(f'Data Count of the Deleted Duplicates layer '
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f'after separating multiparts to clickable single parts: '
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f'{single_parts_layer.data_count}\n'
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f'Name of the new layer: '
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f'{single_parts_layer.layer_name}')
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single_parts_layer.create_spatial_index()
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# The process of instantiating a new layer
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# (including print and create part) can be a method
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# Also experiment importing input_paths_and_layers
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0
input_paths_and_layers.py
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0
input_paths_and_layers.py
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