Source code for svir.dialogs.load_losses_by_asset_as_layer_dialog

# -*- coding: utf-8 -*-
# /***************************************************************************
# Irmt
#                                 A QGIS plugin
# OpenQuake Integrated Risk Modelling Toolkit
#                              -------------------
#        begin                : 2013-10-24
#        copyright            : (C) 2014 by GEM Foundation
#        email                : devops@openquake.org
# ***************************************************************************/
#
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OpenQuake is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake.  If not, see <http://www.gnu.org/licenses/>.

import numpy
import collections
from qgis.core import QgsFeature, QgsGeometry, QgsPoint
from svir.dialogs.load_output_as_layer_dialog import LoadOutputAsLayerDialog
from svir.calculations.calculate_utils import add_numeric_attribute
from svir.utilities.utils import (WaitCursorManager,
                                  LayerEditingManager,
                                  log_msg,
                                  extract_npz,
                                  )
from svir.utilities.shared import DEBUG


[docs]class LoadLossesByAssetAsLayerDialog(LoadOutputAsLayerDialog): """ Modal dialog to load losses by asset or average asset losses from an oq-engine output, as layer """ def __init__(self, iface, viewer_dock, session, hostname, calc_id, output_type=None, path=None, mode=None, zonal_layer_path=None): assert output_type in ('losses_by_asset', 'avg_losses-stats') LoadOutputAsLayerDialog.__init__( self, iface, viewer_dock, session, hostname, calc_id, output_type, path, mode, zonal_layer_path) # FIXME: add layout only for output types that load from file self.remove_file_hlayout() if self.output_type == 'losses_by_asset': self.setWindowTitle( 'Load losses by asset, aggregated by location, as layer') elif self.output_type == 'avg_losses-stats': self.setWindowTitle( 'Load average asset losses (statistics),' ' aggregated by location, as layer') else: raise NotImplementedError(output_type) self.create_load_selected_only_ckb() self.create_num_sites_indicator() self.create_rlz_or_stat_selector() self.create_taxonomy_selector() self.create_loss_type_selector() self.create_zonal_layer_selector() # NOTE: it's correct to use 'losses_by_asset' instead of output_type, # both in case of losses_by_asset and in case of avg_losses-stats self.npz_file = extract_npz( session, hostname, calc_id, 'losses_by_asset', message_bar=iface.messageBar(), params=None) self.populate_out_dep_widgets() if self.zonal_layer_path: # NOTE: it happens while running tests. We need to avoid # overwriting the original layer, so we make a copy of it. zonal_layer_plus_stats = self.load_zonal_layer( self.zonal_layer_path, make_a_copy=True) self.populate_zonal_layer_cbx(zonal_layer_plus_stats) else: self.pre_populate_zonal_layer_cbx() self.adjustSize() self.set_ok_button()
[docs] def set_ok_button(self): self.ok_button.setEnabled(True)
[docs] def on_rlz_or_stat_changed(self): self.dataset = self.npz_file[self.rlz_or_stat_cbx.currentText()] self.taxonomies = numpy.unique(self.dataset['taxonomy']).tolist() self.populate_taxonomy_cbx(self.taxonomies) # discarding 'asset_ref', 'taxonomy', 'lon', 'lat' self.loss_types = self.dataset.dtype.names[4:] self.populate_loss_type_cbx(self.loss_types) self.set_ok_button()
[docs] def populate_taxonomy_cbx(self, taxonomies): taxonomies.insert(0, 'All') self.taxonomy_cbx.clear() self.taxonomy_cbx.addItems(taxonomies) self.taxonomy_cbx.setEnabled(True)
[docs] def build_layer_name(self, rlz_or_stat, **kwargs): taxonomy = kwargs['taxonomy'] loss_type = kwargs['loss_type'] if self.output_type == 'losses_by_asset': layer_name = "losses_by_asset_%s_%s_%s" % ( rlz_or_stat, taxonomy, loss_type) elif self.output_type == 'avg_losses-stats': layer_name = "avg_losses-stats_%s_%s_%s" % ( rlz_or_stat, taxonomy, loss_type) else: raise NotImplementedError(self.output_type) return layer_name
[docs] def get_field_names(self, **kwargs): loss_type = kwargs['loss_type'] field_names = ['lon', 'lat', loss_type] self.default_field_name = loss_type return field_names
[docs] def add_field_to_layer(self, field_name): # NOTE: add_numeric_attribute uses LayerEditingManager added_field_name = add_numeric_attribute( field_name, self.layer) return added_field_name
[docs] def read_npz_into_layer(self, field_names, **kwargs): rlz_or_stat = kwargs['rlz_or_stat'] loss_type = kwargs['loss_type'] taxonomy = kwargs['taxonomy'] with LayerEditingManager(self.layer, 'Reading npz', DEBUG): feats = [] grouped_by_site = self.group_by_site( self.npz_file, rlz_or_stat, loss_type, taxonomy) for row in grouped_by_site: # add a feature feat = QgsFeature(self.layer.pendingFields()) for field_name_idx, field_name in enumerate(field_names): if field_name in ['lon', 'lat']: continue value = float(row[field_name_idx]) feat.setAttribute(field_names[field_name_idx], value) feat.setGeometry(QgsGeometry.fromPoint( QgsPoint(row['lon'], row['lat']))) feats.append(feat) added_ok = self.layer.addFeatures(feats, makeSelected=False) if not added_ok: msg = 'There was a problem adding features to the layer.' log_msg(msg, level='C', message_bar=self.iface.messageBar())
[docs] def load_from_npz(self): for rlz_or_stat in self.rlzs_or_stats: if (self.load_selected_only_ckb.isChecked() and rlz_or_stat != self.rlz_or_stat_cbx.currentText()): continue for taxonomy in self.taxonomies: if (self.load_selected_only_ckb.isChecked() and taxonomy != self.taxonomy_cbx.currentText()): continue for loss_type in self.loss_types: if (self.load_selected_only_ckb.isChecked() and loss_type != self.loss_type_cbx.currentText()): continue with WaitCursorManager( 'Creating layer for "%s", ' ' taxonomy "%s" and loss type "%s"...' % ( rlz_or_stat, taxonomy, loss_type), self.iface.messageBar()): self.build_layer(rlz_or_stat, taxonomy=taxonomy, loss_type=loss_type) self.style_maps() if self.npz_file is not None: self.npz_file.close()
[docs] def group_by_site(self, npz, rlz_or_stat, loss_type, taxonomy='All'): # example: # npz = numpy.load(npzfname) # print(group_by_site(npz, 'rlz-000', 'structural_ins', '"tax1"')) F32 = numpy.float32 loss_by_site = collections.defaultdict(float) # lon, lat -> loss for rec in npz[rlz_or_stat]: if taxonomy == 'All' or taxonomy == rec['taxonomy']: loss_by_site[rec['lon'], rec['lat']] += rec[loss_type] data = numpy.zeros(len(loss_by_site), [('lon', F32), ('lat', F32), (loss_type, F32)]) for i, (lon, lat) in enumerate(sorted(loss_by_site)): data[i] = (lon, lat, loss_by_site[lon, lat]) return data