def processAlgorithm(self, parameters, context, feedback):
# Init ORS client
providers = configmanager.read_config()['providers']
provider = providers[self.parameterAsEnum(parameters, self.IN_PROVIDER,
context)]
clnt = client.Client(provider)
clnt.overQueryLimit.connect(
lambda: feedback.reportError("OverQueryLimit: Retrying"))
mode = self.MODE_TYPES[self.parameterAsEnum(parameters, self.IN_MODE,
context)]
# Get parameter values
source = self.parameterAsSource(parameters, self.IN_START, context)
source_field_name = self.parameterAsString(parameters,
self.IN_START_FIELD,
context)
destination = self.parameterAsSource(parameters, self.IN_END, context)
destination_field_name = self.parameterAsString(
parameters, self.IN_END_FIELD, context)
avoid_layer = self.parameterAsSource(parameters, self.IN_AVOID,
context)
# Get fields from field name
source_field_id = source.fields().lookupField(source_field_name)
source_field = source.fields().field(source_field_id)
destination_field_id = destination.fields().lookupField(
destination_field_name)
destination_field = destination.fields().field(destination_field_id)
(sink, dest_id) = self.parameterAsSink(
parameters, self.OUT, context,
matrix_core.get_fields(source_field.type(),
destination_field.type()),
QgsWkbTypes.NoGeometry)
# Abort when MultiPoint type
if (source.wkbType() or destination.wkbType()) == 4:
raise QgsProcessingException(
"TypeError: Multipoint Layers are not accepted. Please convert to single geometry layer."
)
# Get feature amounts/counts
sources_amount = source.featureCount()
destinations_amount = destination.featureCount()
if (sources_amount or destinations_amount) > 10000:
raise QgsProcessingException(
"ProcessingError: Too large input, please decimate.")
sources_features = list(source.getFeatures())
destinations_features = list(destination.getFeatures())
# Get source and destination features
xformer_source = transform.transformToWGS(source.sourceCrs())
sources_points = [
xformer_source.transform(feat.geometry().asPoint())
for feat in sources_features
]
xformer_destination = transform.transformToWGS(destination.sourceCrs())
destination_points = [
xformer_destination.transform(feat.geometry().asPoint())
for feat in destinations_features
]
# Build params
params = dict(costing=self.PROFILE)
# Sets all advanced parameters as attributes of self.costing_options
self.costing_options.set_costing_options(self, parameters, context)
costing_params = get_costing_options(self.costing_options,
self.PROFILE, mode)
if costing_params:
params['costing_options'] = costing_params
if avoid_layer:
params['avoid_locations'] = get_avoid_locations(avoid_layer)
sources_attributes = [
feat.attribute(source_field_name) for feat in sources_features
]
destinations_attributes = [
feat.attribute(destination_field_name)
for feat in destinations_features
]
source_attr_iter = self._chunks(sources_attributes, 50)
for sources in self._chunks(sources_points, 50):
params["sources"] = get_locations(sources)
source_attributes = next(source_attr_iter)
destination_attr_iter = self._chunks(destinations_attributes, 50)
for destinations in self._chunks(destination_points, 50):
params["targets"] = get_locations(destinations)
params["id"] = "matrix"
destination_attributes = next(destination_attr_iter)
# Make request and catch ApiError
try:
response = clnt.request('/sources_to_targets',
post_json=params)
except (exceptions.ApiError) as e:
msg = "{}: {}".format(e.__class__.__name__, str(e))
feedback.reportError(msg)
logger.log(msg)
continue
except (exceptions.InvalidKey,
exceptions.GenericServerError) as e:
msg = "{}:\n{}".format(e.__class__.__name__, str(e))
logger.log(msg)
raise
feats = matrix_core.get_output_features_matrix(
response, self.PROFILE, costing_params, source_attributes,
destination_attributes)
for feat in feats:
sink.addFeature(feat)
return {self.OUT: dest_id}
def processAlgorithm(self, parameters, context, feedback):
# Init ORS client
providers = configmanager.read_config()['providers']
provider = providers[self.parameterAsEnum(parameters, self.IN_PROVIDER, context)]
clnt = client.Client(provider)
clnt.overQueryLimit.connect(lambda : feedback.reportError("OverQueryLimit: Retrying..."))
mode = self.MODE_TYPES[self.parameterAsEnum(parameters, self.IN_MODE, context)]
# Get parameter values
source = self.parameterAsSource(
parameters,
self.IN_POINT,
context
)
source_field_name = self.parameterAsString(
parameters,
self.IN_FIELD,
context
)
avoid_layer = self.parameterAsLayer(
parameters,
self.IN_AVOID,
context
)
(sink, dest_id) = self.parameterAsSink(parameters, self.OUT, context,
directions_core.get_fields(from_type=source.fields().field(source_field_name).type(),
from_name=source_field_name,
line=True),
QgsWkbTypes.LineString,
QgsCoordinateReferenceSystem(4326))
input_points = list()
from_values = list()
xformer_source = transform.transformToWGS(source.sourceCrs())
if source.wkbType() == QgsWkbTypes.Point:
points = list()
for feat in sorted(source.getFeatures(), key=lambda f: f.id()):
points.append(xformer_source.transform(QgsPointXY(feat.geometry().asPoint())))
input_points.append(points)
from_values.append('')
elif source.wkbType() == QgsWkbTypes.MultiPoint:
# loop through multipoint features
for feat in sorted(source.getFeatures(), key=lambda f: f.id()):
points = list()
for point in feat.geometry().asMultiPoint():
points.append(xformer_source.transform(QgsPointXY(point)))
input_points.append(points)
from_values.append(feat[source_field_name])
count = source.featureCount()
params = dict()
if avoid_layer:
params['avoid_locations'] = get_avoid_locations(avoid_layer)
# Sets all advanced parameters as attributes of self.costing_options
self.costing_options.set_costing_options(self, parameters, context)
for num, (points, from_value) in enumerate(zip(input_points, from_values)):
# Stop the algorithm if cancel button has been clicked
if feedback.isCanceled():
break
params.update(get_directions_params(points, self.PROFILE, self.costing_options, mode))
params['id'] = from_value
try:
response = clnt.request('/route', post_json=params)
except (exceptions.ApiError) as e:
msg = "Feature ID {} caused a {}:\n{}".format(
from_value,
e.__class__.__name__,
str(e))
feedback.reportError(msg)
logger.log(msg)
continue
except (exceptions.InvalidKey, exceptions.GenericServerError) as e:
msg = "{}:\n{}".format(
e.__class__.__name__,
str(e))
logger.log(msg)
raise
options = {}
if params.get('costing_options'):
options = params['costing_options']
sink.addFeature(directions_core.get_output_feature_directions(
response,
self.PROFILE,
options.get(self.PROFILE),
from_value=from_value
))
feedback.setProgress(int(100.0 / count * num))
return {self.OUT: dest_id}
def processAlgorithm(self, parameters, context, feedback):
# Init ORS client
providers = configmanager.read_config()['providers']
provider = providers[self.parameterAsEnum(parameters, self.IN_PROVIDER, context)]
clnt = client.Client(provider)
clnt.overQueryLimit.connect(lambda : feedback.reportError("OverQueryLimit: Retrying..."))
mode = self.MODE_TYPES[self.parameterAsEnum(parameters, self.IN_MODE, context)]
# Get parameter values
source = self.parameterAsSource(
parameters,
self.IN_START,
context
)
source_field_name = self.parameterAsString(
parameters,
self.IN_START_FIELD,
context
)
destination = self.parameterAsSource(
parameters,
self.IN_END,
context
)
destination_field_name = self.parameterAsString(
parameters,
self.IN_END_FIELD,
context
)
matrix_mode = self.MODE_SELECTION[self.parameterAsEnum(
parameters,
self.IN_MATRIX_MODE,
context
)]
avoid_layer = self.parameterAsLayer(
parameters,
self.IN_AVOID,
context
)
# Get fields from field name
source_field_id = source.fields().lookupField(source_field_name)
source_field = source.fields().field(source_field_id)
destination_field_id = destination.fields().lookupField(destination_field_name)
destination_field = destination.fields().field(destination_field_id)
route_dict = self._get_route_dict(
source,
source_field,
destination,
destination_field
)
if matrix_mode == 'Row-by-Row':
route_count = min([source.featureCount(), destination.featureCount()])
else:
route_count = source.featureCount() * destination.featureCount()
(sink, dest_id) = self.parameterAsSink(parameters, self.OUT, context,
directions_core.get_fields(source_field.type(), destination_field.type()),
QgsWkbTypes.LineString,
QgsCoordinateReferenceSystem(4326))
counter = 0
params = dict()
if avoid_layer:
params['avoid_locations'] = get_avoid_locations(avoid_layer)
# Sets all advanced parameters as attributes of self.costing_options
self.costing_options.set_costing_options(self, parameters, context)
for points, values in directions_core.get_request_point_features(route_dict, matrix_mode):
# Stop the algorithm if cancel button has been clicked
if feedback.isCanceled():
break
params.update(get_directions_params(points, self.PROFILE, self.costing_options, mode))
params['id'] = f"{values[0]} & {values[1]}"
try:
response = clnt.request('/route', post_json=params)
except (exceptions.ApiError) as e:
msg = "Route from {} to {} caused a {}:\n{}".format(
values[0],
values[1],
e.__class__.__name__,
str(e))
feedback.reportError(msg)
logger.log(msg)
continue
except (exceptions.InvalidKey, exceptions.GenericServerError) as e:
msg = "{}:\n{}".format(
e.__class__.__name__,
str(e))
logger.log(msg)
raise
options = {}
if params.get('costing_options'):
options = params['costing_options']
sink.addFeature(directions_core.get_output_feature_directions(
response,
self.PROFILE,
options.get(self.PROFILE),
from_value=values[0],
to_value=values[1]
))
counter += 1
feedback.setProgress(int(100.0 / route_count * counter))
return {self.OUT: dest_id}
def processAlgorithm(self, parameters, context, feedback):
# Init ORS client
providers = configmanager.read_config()['providers']
provider = providers[self.parameterAsEnum(parameters, self.IN_PROVIDER,
context)]
clnt = client.Client(provider)
clnt.overQueryLimit.connect(
lambda: feedback.reportError("OverQueryLimit: Retrying..."))
params = dict()
geometry_param = self.GEOMETRY_TYPES[self.parameterAsEnum(
parameters, self.IN_GEOMETRY, context)]
params[
self.IN_GEOMETRY] = True if geometry_param == 'Polygon' else False
mode = self.MODE_TYPES[self.parameterAsEnum(parameters, self.IN_MODE,
context)]
source = self.parameterAsSource(parameters, self.IN_POINTS, context)
if source.wkbType() == 4:
raise QgsProcessingException(
"TypeError: Multipoint Layers are not accepted. Please convert to single geometry layer."
)
# Get ID field properties
id_field_name = self.parameterAsString(parameters, self.IN_FIELD,
context)
id_field_id = source.fields().lookupField(id_field_name)
if id_field_name == '':
id_field_id = 0
id_field_name = source.fields().field(id_field_id).name()
id_field = source.fields().field(id_field_id)
# Populate iso_layer instance with parameters
self.isochrones.set_parameters(self.PROFILE, geometry_param,
id_field.type(), id_field_name)
layer_time = QgsVectorLayer(f'{geometry_param}?crs=EPSG:4326',
f'Isochrones {self.PROFILE.capitalize()}',
'memory')
self.isos_time_id = layer_time.id()
layer_time_pr = layer_time.dataProvider()
layer_time_pr.addAttributes(self.isochrones.get_fields())
layer_time.updateFields()
layer_dist = QgsVectorLayer(
f'{geometry_param}?crs=EPSG:4326',
f'Isodistances {self.PROFILE.capitalize()}', 'memory')
self.isos_dist_id = layer_dist.id()
layer_dist_pr = layer_dist.dataProvider()
layer_dist_pr.addAttributes(self.isochrones.get_fields())
layer_dist.updateFields()
layer_snapped_points = QgsVectorLayer(
f'MultiPoint?crs=EPSG:4326',
f'Snapped Points {self.PROFILE.capitalize()}', 'memory')
self.points_snapped_id = layer_snapped_points.id()
layer_snapped_points_pr = layer_snapped_points.dataProvider()
layer_snapped_points_pr.addAttributes(
self.isochrones.get_point_fields())
layer_snapped_points.updateFields()
layer_input_points = QgsVectorLayer(
f'Point?crs=EPSG:4326',
f'Input Points {self.PROFILE.capitalize()}', 'memory')
self.points_input_id = layer_input_points.id()
layer_input_points_pr = layer_input_points.dataProvider()
layer_input_points_pr.addAttributes(self.isochrones.get_point_fields())
layer_input_points.updateFields()
denoise = self.parameterAsDouble(parameters, self.IN_DENOISE, context)
if denoise:
params[self.IN_DENOISE] = denoise
generalize = self.parameterAsDouble(parameters, self.IN_GENERALIZE,
context)
if generalize:
params[self.IN_GENERALIZE] = generalize
avoid_layer = self.parameterAsLayer(parameters, self.IN_AVOID, context)
if avoid_layer:
params['avoid_locations'] = get_avoid_locations(avoid_layer)
show_locations = self.parameterAsBool(parameters,
self.IN_SHOW_LOCATIONS, context)
# Sets all advanced parameters as attributes of self.costing_options
self.costing_options.set_costing_options(self, parameters, context)
intervals_time = self.parameterAsString(parameters,
self.IN_INTERVALS_TIME,
context)
intervals_distance = self.parameterAsString(parameters,
self.IN_INTERVALS_DISTANCE,
context)
feat_count = source.featureCount(
) if not intervals_time else source.featureCount() * 2
self.intervals = {
"time": [{
"time": int(x)
} for x in intervals_time.split(',')] if intervals_time else [],
"distance": [{
"distance": int(x)
} for x in intervals_distance.split(',')]
if intervals_distance else []
}
counter = 0
for metric, interv in self.intervals.items():
if feedback.isCanceled():
break
if not interv:
continue
# Make the actual requests
requests = []
for properties in self.get_sorted_feature_parameters(source):
if feedback.isCanceled():
break
r_params = deepcopy(params)
r_params['contours'] = interv
# Get transformed coordinates and feature
locations, feat = properties
r_params.update(
get_directions_params(locations, self.PROFILE,
self.costing_options, mode))
r_params['id'] = feat[id_field_name]
requests.append(r_params)
for params in requests:
counter += 1
if feedback.isCanceled():
break
# If feature causes error, report and continue with next
try:
# Populate features from response
response = clnt.request('/isochrone', post_json=params)
except (exceptions.ApiError) as e:
msg = "Feature ID {} caused a {}:\n{}".format(
params['id'], e.__class__.__name__, str(e))
feedback.reportError(msg)
logger.log(msg, 2)
continue
except (exceptions.InvalidKey,
exceptions.GenericServerError) as e:
msg = "{}:\n{}".format(e.__class__.__name__, str(e))
feedback.reportError(msg)
logger.log(msg)
raise
options = {}
if params.get('costing_options'):
options = params['costing_options']
self.isochrones.set_response(response)
for isochrone in self.isochrones.get_features(
params['id'], options.get(self.PROFILE)):
if metric == 'time':
layer_time_pr.addFeature(isochrone)
elif metric == 'distance':
layer_dist_pr.addFeature(isochrone)
if show_locations:
for point_feat in self.isochrones.get_multipoint_features(
params['id']):
layer_snapped_points_pr.addFeature(point_feat)
for point_feat in self.isochrones.get_point_features(
params['id']):
layer_input_points_pr.addFeature(point_feat)
feedback.setProgress(int((counter / feat_count) * 100))
temp = []
if layer_time.hasFeatures():
layer_time.updateExtents()
context.temporaryLayerStore().addMapLayer(layer_time)
temp.append(
("Isochrones " + self.PROFILE.capitalize(), self.OUT_TIME,
layer_time.id()))
if layer_dist.hasFeatures():
layer_dist.updateExtents()
context.temporaryLayerStore().addMapLayer(layer_dist)
temp.append(
("Isochrones " + self.PROFILE.capitalize(), self.OUT_DISTANCE,
layer_dist.id()))
if show_locations:
layer_snapped_points.updateExtents()
context.temporaryLayerStore().addMapLayer(layer_snapped_points)
temp.append(("Snapped Points " + self.PROFILE.capitalize(),
self.POINTS_SNAPPED, layer_snapped_points.id()))
layer_input_points.updateExtents()
context.temporaryLayerStore().addMapLayer(layer_input_points)
temp.append(("Input Points " + self.PROFILE.capitalize(),
self.POINTS_INPUT, layer_input_points.id()))
results = dict()
for l_name, e_id, l_id in temp:
results[e_id] = l_id
context.addLayerToLoadOnCompletion(
l_id,
QgsProcessingContext.LayerDetails(l_name, context.project(),
l_name))
return results
def processAlgorithm(self, parameters, context, feedback):
# Init ORS client
providers = configmanager.read_config()['providers']
provider = providers[self.parameterAsEnum(parameters, self.IN_PROVIDER,
context)]
clnt = client.Client(provider)
clnt.overQueryLimit.connect(
lambda: feedback.reportError("OverQueryLimit: Retrying..."))
# Get parameter values
source = self.parameterAsSource(parameters, self.IN_LINES, context)
source_field_name = self.parameterAsString(parameters, self.IN_FIELD,
context)
avoid_layer = self.parameterAsLayer(parameters, self.IN_AVOID, context)
mode = self.MODE_TYPES[self.parameterAsEnum(parameters, self.IN_MODE,
context)]
params = dict()
# Sets all advanced parameters as attributes of self.costing_options
self.costing_options.set_costing_options(self, parameters, context)
if avoid_layer:
params['avoid_locations'] = get_avoid_locations(avoid_layer)
(sink, dest_id) = self.parameterAsSink(
parameters, self.OUT, context,
directions_core.get_fields(
from_type=source.fields().field(source_field_name).type(),
from_name=source_field_name,
line=True), source.wkbType(),
QgsCoordinateReferenceSystem(4326))
count = source.featureCount()
for num, (line, field_value) in enumerate(
self._get_sorted_lines(source, source_field_name)):
# Stop the algorithm if cancel button has been clicked
if feedback.isCanceled():
break
params.update(
get_directions_params(line, self.PROFILE, self.costing_options,
mode))
params['id'] = field_value
try:
response = clnt.request('/route', post_json=params)
except (exceptions.ApiError) as e:
msg = "Feature ID {} caused a {}:\n{}".format(
field_value, e.__class__.__name__, str(e))
feedback.reportError(msg)
logger.log(msg)
continue
except (exceptions.InvalidKey, exceptions.GenericServerError) as e:
msg = "{}:\n{}".format(e.__class__.__name__, str(e))
logger.log(msg)
raise
options = {}
if params.get('costing_options'):
options = params['costing_options']
sink.addFeature(
directions_core.get_output_feature_directions(
response,
self.PROFILE,
options.get(self.PROFILE),
from_value=field_value))
feedback.setProgress(int(100.0 / count * num))
return {self.OUT: dest_id}
def run_gui_control(self):
"""Slot function for OK button of main dialog."""
self.dlg: ValhallaDialog
# Associate annotations with map layer, so they get deleted when layer is deleted
for annotation in self.dlg.annotations:
# Has the potential to be pretty cool: instead of deleting, associate with mapLayer, you can change order after optimization
# Then in theory, when the layer is remove, the annotation is removed as well
# Doesng't work though, the annotations are still there when project is re-opened
# annotation.setMapLayer(layer_out)
self.project.annotationManager().removeAnnotation(annotation)
self.dlg.annotations = []
provider_id = self.dlg.provider_combo.currentIndex()
provider = configmanager.read_config()['providers'][provider_id]
# if there are no coordinates, throw an error message
if not self.dlg.routing_fromline_list.count():
QMessageBox.critical(
self.dlg, "No waypoints", """
Did you forget to set routing waypoints?<br><br>
Use the 'Add Waypoint' button to add up to 20 waypoints.
""")
return
# if no API key is present, when ORS is selected, throw an error message
if not provider['key'] and provider['base_url'].startswith(
'https://api.openrouteservice.org'):
QMessageBox.critical(
self.dlg, "Missing API key", """
Did you forget to set an <b>API key</b> for Mapbox?<br><br>
If you don't have an API key, please visit https://account.mapbox.com/auth/signup/?route-to="/" to get one. <br><br>
Then enter the API key in Web ► Valhalla ► Provider Settings or the settings symbol in the main Valhalla GUI, next to the provider dropdown.
""")
return
clnt = client.Client(provider)
clnt_msg = ''
method = self.dlg.routing_method.currentText()
profile = self.dlg.routing_travel_combo.currentText()
params = {}
# Add extra params
extra_params_text = self.dlg.dlg_params.extra_params_text.toPlainText()
extra_params = {}
if extra_params_text:
extra_params = json.loads(extra_params_text)
try:
if method == 'route':
layer_out = QgsVectorLayer("LineString?crs=EPSG:4326",
f"Route {profile.capitalize()}",
"memory")
layer_out.dataProvider().addAttributes(
directions_core.get_fields())
layer_out.updateFields()
directions = directions_gui.Directions(self.dlg)
params = directions.get_parameters()
params.update(extra_params)
response = clnt.request('/route', {}, post_json=params)
feat = directions_core.get_output_feature_directions(
response, profile, directions.costing_options,
"{}, {}".format(params['locations'][0]['lon'],
params['locations'][0]['lat']),
"{}, {}".format(params['locations'][-1]['lon'],
params['locations'][-1]['lat']))
layer_out.dataProvider().addFeature(feat)
layer_out.updateExtents()
self.project.addMapLayer(layer_out)
elif method == 'isochrone':
geometry_type = self.dlg.polygons.currentText()
isochrones = isochrones_core.Isochrones()
isochrones.set_parameters(profile, geometry_type)
locations = get_locations(self.dlg.routing_fromline_list)
aggregate = self.dlg.iso_aggregate.isChecked()
locations = [locations] if aggregate else locations
no_points = self.dlg.iso_no_points.isChecked()
metrics = []
if self.dlg.contours_distance.text():
metrics.append('distance')
if self.dlg.contours.text():
metrics.append('time')
for metric in metrics:
isochrones_ui = isochrones_gui.Isochrones(self.dlg)
params = isochrones_ui.get_parameters(
metric) # change once isodistances are there too
params.update(extra_params)
name = 'Isodistance' if metric == 'distance' else 'Isochrone'
layer_out = QgsVectorLayer(
f"{geometry_type}?crs=EPSG:4326",
f"{name} {params['costing']}", "memory")
layer_out.dataProvider().addAttributes(
isochrones.get_fields())
layer_out.updateFields()
for i, location in enumerate(locations):
params['locations'] = location if aggregate else [
location
]
isochrones.set_response(
clnt.request('/isochrone', {}, post_json=params))
for feat in isochrones.get_features(
str(i), isochrones_ui.costing_options):
layer_out.dataProvider().addFeature(feat)
layer_out.updateExtents()
isochrones.stylePoly(layer_out, metric)
self.project.addMapLayer(layer_out)
if not no_points:
multipoint_layer = QgsVectorLayer(
"MultiPoint?crs=EPSG:4326",
f"Snapped Points {params['costing']}", "memory")
point_layer = QgsVectorLayer(
"Point?crs=EPSG:4326",
f"Input Points {params['costing']}", "memory")
multipoint_layer.dataProvider().addAttributes(
isochrones.get_point_fields())
multipoint_layer.updateFields()
point_layer.dataProvider().addAttributes(
isochrones.get_point_fields())
point_layer.updateFields()
for feat in isochrones.get_multipoint_features('0'):
multipoint_layer.dataProvider().addFeature(feat)
for feat in isochrones.get_point_features('0'):
point_layer.dataProvider().addFeature(feat)
multipoint_layer.updateExtents()
point_layer.updateExtents()
self.project.addMapLayer(multipoint_layer)
self.project.addMapLayer(point_layer)
elif method == 'sources_to_targets':
layer_out = QgsVectorLayer("None", 'Matrix_Valhalla', "memory")
layer_out.dataProvider().addAttributes(
matrix_core.get_fields())
layer_out.updateFields()
matrix = matrix_gui.Matrix(self.dlg)
params = matrix.get_parameters()
params.update(extra_params)
response = clnt.request('/sources_to_targets',
post_json=params)
feats = matrix_core.get_output_features_matrix(
response, profile, matrix.costing_options)
for feat in feats:
layer_out.dataProvider().addFeature(feat)
self.project.addMapLayer(layer_out)
elif method == 'locate':
locate_dlg = ValhallaDialogLocateMain()
locate_dlg.setWindowTitle('Locate Response')
locate = locate_gui.Locate(self.dlg)
params = locate.get_parameters()
params.update(extra_params)
response = clnt.request('/locate', post_json=params)
locate_dlg.responseArrived.emit(json.dumps(response, indent=4))
locate_dlg.exec_()
elif method == 'extract-osm':
if not which('osmium'):
QMessageBox.critical(
self.dlg, "ModuleNotFoundError",
"""<a href="https://osmcode.org/osmium-tool/">osmium</a> wasn\'t found in your PATH. <br/><br/>Please install before trying again."""
)
return
if not self.dlg.pbf_file.filePath():
QMessageBox.critical(
self.dlg, "FileNotFoundError",
"""Seems like you forgot to set a PBF file path in the configuration for the Identity tool."""
)
return
identify = identify_gui.Identify(self.dlg)
params = identify.get_locate_parameters()
response = clnt.request('/locate', post_json=params)
way_dict = identify.get_tags(response)
for way_id in way_dict:
way = way_dict[way_id]
layer_out = QgsVectorLayer("LineString?crs=EPSG:4326",
"Way " + str(way_id), "memory")
layer_out.dataProvider().addAttributes(
identify.get_fields(way["tags"]))
layer_out.updateFields()
feat = identify.get_output_feature(way)
layer_out.dataProvider().addFeature(feat)
layer_out.updateExtents()
self.project.addMapLayer(layer_out)
elif method == 'centroid [experimental]':
layer_routes = QgsVectorLayer("LineString?crs=EPSG:4326",
f"Centroid Routes {profile}",
"memory")
layer_gravity = QgsVectorLayer("Point?crs=EPSG:4326",
f"Centroid Point {profile}",
"memory")
layer_routes.dataProvider().addAttributes(
gravity_core.get_fields())
layer_gravity.dataProvider().addAttributes(
gravity_core.get_fields())
layer_routes.updateFields()
layer_gravity.updateFields()
directions = directions_gui.Directions(self.dlg)
params = directions.get_parameters()
params.update(extra_params)
response = clnt.request('/centroid', {}, post_json=params)
line_feats, point_feat = gravity_core.get_output_feature_gravity(
response, profile, directions.costing_options)
layer_routes.dataProvider().addFeatures(line_feats)
layer_gravity.dataProvider().addFeature(point_feat)
layer_routes.updateExtents()
layer_gravity.updateExtents()
self.project.addMapLayer(layer_routes)
self.project.addMapLayer(layer_gravity)
except exceptions.Timeout as e:
msg = "The connection has timed out!"
logger.log(msg, 2)
self.dlg.debug_text.setText(msg)
self._display_error_popup(e)
return
except (exceptions.ApiError, exceptions.InvalidKey,
exceptions.GenericServerError) as e:
msg = (e.__class__.__name__, str(e))
logger.log("{}: {}".format(*msg), 2)
clnt_msg += "<b>{}</b>: ({})<br>".format(*msg)
self._display_error_popup(e)
return
except Exception as e:
msg = [e.__class__.__name__, str(e)]
logger.log("{}: {}".format(*msg), 2)
clnt_msg += "<b>{}</b>: {}<br>".format(*msg)
self._display_error_popup(e)
raise
finally:
# Set URL in debug window
clnt_msg += '<a href="{0}">{0}</a><br>Parameters:<br>{1}<br><b>timing</b>: {2:.3f} secs'.format(
clnt.url, json.dumps(params, indent=2), clnt.response_time)
self.dlg.debug_text.setHtml(clnt_msg)