def __getstate__(self, view=None):
return {
"label": self.url,
"name": parametise_label(self.graph.tile.widget, view, self.label),
"dynamic_name_display": self.dynamic_label,
"hyperlink": parametise_label(self.graph.tile.widget, view, self.hyperlink),
}
def __getstate__(self, view=None):
state = {
"label": self.url,
"name": parametise_label(self.graph.tile.widget, view, self.label),
"colour": self.colour,
"hyperlink": parametise_label(self.graph.tile.widget, view, self.hyperlink),
"dynamic_name_display": self.dynamic_label,
}
if self.graph.use_secondary_numeric_axis:
if self.graph.graph_type == self.graph.LINE:
state["use_secondary_vertical_axis"] = self.use_secondary_numeric_axis
else:
state["use_secondary_numeric_axis"] = self.use_secondary_numeric_axis
return state
def apply_parametisation(self, obj, val, **kwargs):
parametisation_or_widget = kwargs.get("parametisation")
view = kwargs.get("view")
if view is None and parametisation_or_widget is None:
raise ImportExportException(
"Cannot determine which parametisation to use")
return parametise_label(parametisation_or_widget, view, val)
def __getstate__(self, view=None, parametisation=None):
state = {
"category": self.subcategory.category.name,
"subcategory": self.subcategory.name,
"label": self.url,
"name": parametise_label(parametisation, view, self.label),
"geom_type": self.geom_types[self.geom_type],
}
if self.is_external():
state["external_url"] = parametise_label(parametisation, view, self.ext_url)
state["external_type"] = self.ext_type
else:
state["properties"] = [
p.__getstate__()
for p in self.geopropertydefinition_set.all()
]
return state
def __getstate__(self, view=None):
return {
"corner_header": parametise_label(self.tile.widget, view, self.corner_label),
"show_column_headers": self.show_column_headers,
"show_row_headers": self.show_row_headers,
"columns": [ c.__getstate__(view) for c in self.gridcolumn_set.all() ],
"rows": [ c.__getstate__(view) for c in self.gridrow_set.all() ],
}
def __getstate__(self, view=None):
if not self.parametisation:
view = None
data = {
"category": self.subcategory().category.name,
"category_aspect": self.subcategory().category.category_aspect,
"subcategory": self.subcategory().name,
"name": parametise_label(self, view, self.name()),
"subtitle": parametise_label(self, view, self.family.subtitle),
"label": self.url(),
"display": {
"expansion_hint": self.expansion_hint,
"deexpansion_hint": self.deexpansion_hint,
"tiles": [ tile.__getstate__(view) for tile in self.tiledefinition_set.all() ],
},
"source_url": parametise_label(self, view, self.source_url()),
"source_url_text": parametise_label(self, view, self.family.source_url_text),
"refresh_rate": self.refresh_rate,
"about": parametise_label(self, view, self.about),
}
if self.rawdataset_set.all().count() > 0:
data["raw_data_sets"] = [ rds.__getstate__(view) for rds in self.rawdataset_set.all() ]
return data
def __getstate__(self, view=None):
state = {
"type": self.tile_types[self.tile_type],
"expansion": self.expansion,
"aspect": self.aspect,
}
if self.tile_type in (self.NEWSFEED, self.NEWSTICKER,
self.SINGLE_LIST_STAT, self.SINGLE_MAIN_STAT, self.DOUBLE_MAIN_STAT, self.MAIN_STAT,
self.PRIORITY_LIST, self.URGENCY_LIST, self.CALENDAR, self.TIME_LINE,
self.MULTI_LIST_STAT, self.GRAPH_SINGLE_STAT, self.TEXT_TEMPLATE,
self.TAG_CLOUD):
state["statistics"] = [ s.__getstate__(view) for s in self.statistic_set.all() ]
if self.tile_type == self.GRID_SINGLE_STAT:
state["statistics"] = []
for s in self.statistic_set.all():
if s.gridstatistic_set.count() == 0:
state["statistics"].append(s.__getstate__(view))
elif self.tile_type in (self.SINGLE_LIST_STAT, self.PRIORITY_LIST, self.URGENCY_LIST):
if self.list_label_width:
state["list_label_width"] = self.list_label_width
else:
state["list_label_width"] = 50
if self.tile_type == self.TEXT_TEMPLATE:
state["template"] = parametise_label(self.widget, view, self.template)
if self.tile_type in (self.PRIORITY_LIST, self.URGENCY_LIST, self.MULTI_LIST_STAT, self.SINGLE_LIST_STAT):
state["columns"] = self.columns
if self.tile_type in (self.GRAPH, self.GRAPH_SINGLE_STAT):
GraphDefinition = apps.get_app_config("widget_def").get_model("GraphDefinition")
g = GraphDefinition.objects.get(tile=self)
state["graph"] = g.__getstate__(view)
if self.tile_type == self.MAP:
state["map"] = {
"url": self.url,
"window": self.geo_window.__getstate__(view),
"layers": [ ds.__getstate__(view=view,parametisation=self.widget.paremetisation) for ds in self.geo_datasets.all() ],
}
if self.tile_type in (self.GRID, self.GRID_SINGLE_STAT):
GridDefinition = apps.get_app_config("widget_def").get_model("GridDefinition")
state["grid"] = GridDefinition.objects.get(tile=self).__getstate__(view)
if self.tile_type == self.MAIN_STAT:
state["main_stat_count"] = self.main_stat_count
return state
def __getstate__(self, view):
state = {
"label": self.url,
"type": self.stat_types[self.stat_type],
}
if self.tile.tile_type != TileDefinition.GRID:
state["name"] = parametise_label(self.tile.widget, view, self.name)
state["display_name"] = self.name_as_label
if self.is_numeric():
state["precision"] = self.num_precision
state["unit"] = {}
if self.unit_prefix:
state["unit"]["prefix"] = self.unit_prefix
if self.unit_suffix:
state["unit"]["suffix"] = self.unit_suffix
if self.unit_underfix:
state["unit"]["underfix"] = self.unit_underfix
if self.unit_signed:
state["unit"]["signed"] = True
if self.unit_si_prefix_rounding > 0:
state["unit"]["si_prefix_rounding"] = self.unit_si_prefix_rounding
if self.traffic_light_scale:
state["traffic_light_scale"] = self.traffic_light_scale.__getstate__()
elif self.traffic_light_automation:
state["traffic_light_scale"] = self.traffic_light_automation.strategy.scale.__getstate__()
else:
state["traffic_light_scale"] = None
if self.stat_type not in (self.STRING_LIST, self.LONG_STRING_LIST):
state["trend"] = self.trend
if self.icon_library:
state["icon_library"] = self.icon_library.name
else:
state["icon_library"] = None
if self.rotates:
state["rotates"] = self.rotates
if self.is_display_list():
state["numbered_list"] = self.numbered_list
if self.is_data_list():
state["hyperlinkable"] = self.hyperlinkable
state["footer"] = self.footer
return state
def __getstate__(self, view=None):
state = {
"heading": parametise_label(self.widget(), view, self.heading),
"graph_type": self.graph_types[self.graph_type],
"label": self.tile.url,
"display_options": self.graphdisplayoptions.__getstate__(self.graph_type),
}
if self.graph_type == self.LINE:
state["vertical_axis"] = {
"name": parametise_label(self.widget(), view, self.numeric_axis_label),
"always_show_zero": self.numeric_axis_always_show_zero,
}
if self.use_secondary_numeric_axis:
state["secondary_vertical_axis"] = {
"name": parametise_label(self.widget(), view, self.secondary_numeric_axis_label),
"always_show_zero": self.secondary_numeric_axis_always_show_zero,
}
state["horizontal_axis"] = {
"name": parametise_label(self.tile.widget, view, self.horiz_axis_label),
"type": self.axis_types[self.horiz_axis_type]
}
state["line_label"] = self.dataset_label
state["lines"] = [ d.__getstate__(view) for d in self.graphdataset_set.all() ]
elif self.graph_type in (self.HISTOGRAM, self.BAR):
state["numeric_axis"] = {
"name": parametise_label(self.tile.widget, view, self.numeric_axis_label),
"always_show_zero": self.numeric_axis_always_show_zero,
}
if self.use_secondary_numeric_axis:
state["secondary_numeric_axis"] = {
"name": parametise_label(self.tile.widget, view, self.secondary_numeric_axis_label),
"always_show_zero": self.secondary_numeric_axis_always_show_zero,
}
state["cluster_label"] = self.cluster_label
state["bar_label"] = self.dataset_label
state["dynamic_clusters"] = self.dynamic_clusters
if not self.dynamic_clusters:
state["clusters"] = [ c.__getstate__(view) for c in self.graphcluster_set.all() ]
state["bars"] = [ d.__getstate__(view) for d in self.graphdataset_set.all()]
elif self.graph_type == self.PIE:
state["sector_label"] = self.dataset_label
state["pie_label"] = self.cluster_label
state["dynamic_pies"] = self.dynamic_clusters
if not self.dynamic_clusters:
state["pies"] = [ c.__getstate__(view) for c in self.graphcluster_set.all() ]
state["sectors"] = [ d.__getstate__(view) for d in self.graphdataset_set.all()]
return state
def csv(self, view=None):
"""Return a CSV escaped heading for this column"""
return csv_escape(parametise_label(self.rds.widget, view, self.heading))
def api_get_single_graph_data(graph, view, pval=None, verbose=False):
pval = resolve_pval(graph.widget().parametisation, view=view, pval=pval)
graph_json = { "data": {} }
if verbose:
graph_json["data"] = []
else:
if graph.use_clusters():
for cluster in graph.clusters(pval):
graph_json["data"][cluster.url] = {}
else:
for dataset in graph.graphdataset_set.all():
graph_json["data"][dataset.url] = []
numeric_min = None
numeric_max = None
numeric2_min = None
numeric2_max = None
horiz_min = None
horiz_max = None
for gd in graph.get_data(pval=pval):
if graph.use_numeric_axes():
if graph.use_secondary_numeric_axis and gd.dataset.use_secondary_numeric_axis:
(numeric2_min, numeric2_max)=update_maxmin(gd.value,
numeric2_min, numeric2_max)
else:
(numeric_min, numeric_max)=update_maxmin(gd.value,
numeric_min, numeric_max)
if not graph.use_clusters():
(horiz_min, horiz_max) = update_maxmin(gd.horiz_value(),
horiz_min, horiz_max)
if verbose:
if graph.use_numeric_axes():
if gd.dataset.use_secondary_numeric_axis:
data_label = graph.secondary_numeric_axis_label
else:
data_label = graph.numeric_axis_label
data_label = parametise_label(graph.widget(), view, data_label)
else:
data_label = "value"
graph_datum = {
parametise_label(graph.widget(), view, graph.dataset_label): parametise_label(graph.widget(), view, get_graph_subset_displayname(gd.dataset,pval)),
data_label: gd.value
}
if graph.use_clusters():
graph_datum[parametise_label(graph.widget(), view, graph.cluster_label)] = parametise_label(graph.widget(), view, gd.get_cluster().label)
else:
graph_datum[parametise_label(graph.widget(), view, graph.horiz_axis_label)] = gd.horiz_json_value()
if gd.dataset.use_error_bars:
graph_datum[data_label + "_min"] = gd.err_valmin
graph_datum[data_label + "_max"] = gd.err_valmax
graph_json["data"].append(graph_datum)
else:
if gd.dataset.use_error_bars:
json_val = {
"value": gd.value,
"min": gd.err_valmin,
"max": gd.err_valmax,
}
else:
json_val = gd.value
if graph.use_clusters():
graph_json["data"][gd.get_cluster().url][gd.dataset.url] = json_val
else:
if gd.dataset.use_error_bars:
json_val["horizontal_value"] = gd.horiz_json_value()
else:
json_val = ( gd.horiz_json_value(), json_val )
graph_json["data"][gd.dataset.url].append(json_val)
if graph.use_numeric_axes():
graph_json["%s_scale" % graph.numeric_axis_name()] = {
"min": numeric_min,
"max": numeric_max
}
if graph.use_secondary_numeric_axis:
graph_json["%s_2_scale" % graph.numeric_axis_name()] = {
"min": numeric2_min,
"max": numeric2_max
}
if not graph.use_clusters():
graph_json["horizontal_axis_scale"] = {
"min": graph.jsonise_horiz_value(horiz_min),
"max": graph.jsonise_horiz_value(horiz_max)
}
if graph.use_clusters() and graph.dynamic_clusters:
if graph.is_histogram():
graph_json["clusters"] = [ c.__getstate__(view) for c in graph.clusters(pval) ]
else:
graph_json["pies"] = [ c.__getstate__(view) for c in graph.clusters(pval) ]
overrides = get_graph_overrides(graph.graphdataset_set, GraphDatasetData, "dataset", pval)
if overrides:
graph_json["dataset_name_overrides"] = overrides
return graph_json
def __getstate__(self, view=None):
return {
"header": parametise_label(self.grid.tile.widget, view, self.label),
}
def __getstate__(self, view=None):
return {
"header": parametise_label(self.grid.tile.widget, view, self.label),
"statistics": [ s.__getstate__(view) for s in self.grid.gridstatistic_set.filter(row=self).order_by("column") ]
}
def api_get_single_graph_data(graph, view, pval=None, verbose=False):
pval = resolve_pval(graph.widget().parametisation, view=view, pval=pval)
graph_json = { "data": {} }
if verbose:
graph_json["data"] = []
else:
if graph.use_clusters():
for cluster in graph.graphcluster_set.all():
graph_json["data"][cluster.url] = {}
else:
for dataset in graph.graphdataset_set.all():
graph_json["data"][dataset.url] = []
numeric_min = None
numeric_max = None
numeric2_min = None
numeric2_max = None
horiz_min = None
horiz_max = None
for gd in graph.get_data(pval=pval):
if graph.use_numeric_axes():
if graph.use_secondary_numeric_axis and gd.dataset.use_secondary_numeric_axis:
(numeric2_min, numeric2_max)=update_maxmin(gd.value,
numeric2_min, numeric2_max)
else:
(numeric_min, numeric_max)=update_maxmin(gd.value,
numeric_min, numeric_max)
if not graph.use_clusters():
(horiz_min, horiz_max) = update_maxmin(gd.horiz_value(),
horiz_min, horiz_max)
if verbose:
if graph.use_clusters():
if gd.dataset.use_secondary_numeric_axis:
data_label = graph.secondary_numeric_axis_label
else:
data_label = graph.numeric_axis_label
data_label = parametise_label(graph.widget(), view, data_label)
graph_json["data"].append({
parametise_label(graph.widget(), view, graph.cluster_label): parametise_label(graph.widget(), view, get_graph_subset_displayname(gd.cluster,pval)),
parametise_label(graph.widget(), view, graph.dataset_label): parametise_label(graph.widget(), view, get_graph_subset_displayname(gd.dataset,pval)),
data_label: gd.value
})
else:
graph_json["data"].append({
parametise_label(graph.widget(), view, graph.horiz_axis_label): gd.horiz_json_value(),
parametise_label(graph.widget(), view, graph.dataset_label): parametise_label(graph.widget(), view, get_graph_subset_displayname(gd.dataset,pval)),
data_label: gd.value
})
else:
if graph.use_clusters():
graph_json["data"][gd.cluster.url][gd.dataset.url] = gd.value
else:
graph_json["data"][gd.dataset.url].append([
gd.horiz_json_value(),
gd.value
])
if graph.use_numeric_axes():
graph_json["%s_scale" % graph.numeric_axis_name()] = {
"min": numeric_min,
"max": numeric_max
}
if graph.use_secondary_numeric_axis:
graph_json["%s_2_scale" % graph.numeric_axis_name()] = {
"min": numeric2_min,
"max": numeric2_max
}
if not graph.use_clusters():
graph_json["horizontal_axis_scale"] = {
"min": graph.jsonise_horiz_value(horiz_min),
"max": graph.jsonise_horiz_value(horiz_max)
}
overrides = get_graph_overrides(graph.graphcluster_set, GraphClusterData, "cluster", pval)
if overrides:
graph_json["cluster_name_overrides"] = overrides
overrides = get_graph_overrides(graph.graphdataset_set, GraphDatasetData, "dataset", pval)
if overrides:
graph_json["dataset_name_overrides"] = overrides
return graph_json
def csv(self, view=None):
"""Return a CSV escaped heading for this column"""
return csv_escape(parametise_label(self.rds.widget, view,
self.heading))
def __getstate__(self, view=None):
return {
"label": self.url,
"name": parametise_label(self.widget(), view, self.label),
"hyperlink": parametise_label(self.widget(), view, self.hyperlink),
}
def __getstate__(self, view=None):
data = { "heading": parametise_label(self.rds.widget, view, self.heading) }
if self.description:
data["description"] = parametise_label(self.rds.widget, view, self.description)
return data
def __getstate__(self, view=None):
return {
"label": self.url,
"name": parametise_label(self.widget, view, self.name),
"columns": [ c.__getstate__(view) for c in self.rawdatasetcolumn_set.all() ],
}
def api_get_single_graph_data(graph, view, pval=None, verbose=False):
pval = resolve_pval(graph.widget().parametisation, view=view, pval=pval)
graph_json = {"data": {}}
if verbose:
graph_json["data"] = []
else:
if graph.use_clusters():
for cluster in graph.clusters(pval):
graph_json["data"][cluster.url] = {}
else:
for dataset in graph.datasets.all():
graph_json["data"][dataset.url] = []
numeric_min = None
numeric_max = None
numeric2_min = None
numeric2_max = None
horiz_min = None
horiz_max = None
for gd in graph.get_data(pval=pval):
if graph.use_numeric_axes():
if graph.use_secondary_numeric_axis and gd.dataset.use_secondary_numeric_axis:
(numeric2_min,
numeric2_max) = update_graph_maxmin(gd, numeric2_min,
numeric2_max)
else:
(numeric_min,
numeric_max) = update_graph_maxmin(gd, numeric_min,
numeric_max)
if not graph.use_clusters():
(horiz_min, horiz_max) = update_maxmin(gd.horiz_value(), horiz_min,
horiz_max)
if verbose:
if graph.use_numeric_axes():
if gd.dataset.use_secondary_numeric_axis:
data_label = graph.secondary_numeric_axis_label
else:
data_label = graph.numeric_axis_label
data_label = parametise_label(graph.widget(), view, data_label)
else:
data_label = "value"
graph_datum = {
parametise_label(graph.widget(), view, graph.dataset_label):
parametise_label(
graph.widget(), view,
get_graph_subset_displayname(gd.dataset, pval)),
data_label:
gd.value
}
if graph.use_clusters():
graph_datum[parametise_label(
graph.widget(), view,
graph.cluster_label)] = parametise_label(
graph.widget(), view,
gd.get_cluster().label)
else:
graph_datum[parametise_label(
graph.widget(), view,
graph.horiz_axis_label)] = gd.horiz_json_value()
if gd.dataset.use_error_bars:
graph_datum[data_label + "_min"] = gd.err_valmin
graph_datum[data_label + "_max"] = gd.err_valmax
graph_json["data"].append(graph_datum)
else:
if gd.dataset.use_error_bars:
json_val = {
"value": gd.value,
"min": gd.err_valmin,
"max": gd.err_valmax,
}
else:
json_val = gd.value
if graph.use_clusters():
graph_json["data"][gd.get_cluster().url][
gd.dataset.url] = json_val
else:
if gd.dataset.use_error_bars:
json_val["horizontal_value"] = gd.horiz_json_value()
else:
json_val = (gd.horiz_json_value(), json_val)
graph_json["data"][gd.dataset.url].append(json_val)
if graph.use_numeric_axes():
numeric_min, numeric_max = apply_vertical_axis_buffer(
graph, numeric_min, numeric_max)
graph_json["%s_scale" % graph.numeric_axis_name()] = {
"min": numeric_min,
"max": numeric_max
}
if graph.use_secondary_numeric_axis:
numeric2_min, numeric2_max = apply_vertical_axis_buffer(
graph, numeric2_min, numeric2_max)
graph_json["%s_2_scale" % graph.numeric_axis_name()] = {
"min": numeric2_min,
"max": numeric2_max
}
if not graph.use_clusters():
graph_json["horizontal_axis_scale"] = {
"min": graph.jsonise_horiz_value(horiz_min),
"max": graph.jsonise_horiz_value(horiz_max)
}
if graph.use_clusters():
if graph.is_histogram():
clusters_attrib = "clusters"
else:
clusters_attrib = "pies"
graph_json[clusters_attrib] = [
c.__getstate__(view=view) for c in graph.clusters(pval)
]
overrides = get_graph_overrides(graph.datasets, GraphDatasetData,
"dataset", pval)
datasets = {}
for ds in graph.datasets.all():
datasets[ds.url] = ds.__getstate__(view=view)
del datasets[ds.url]["dynamic_name_display"]
if ds.url in overrides:
datasets[ds.url]["name"] = overrides[ds.url]
if graph.is_histogram():
datasets_attrib = "datasets"
else:
datasets_attrib = "sectors"
graph_json[datasets_attrib] = datasets
if overrides:
graph_json["dataset_name_overrides"] = overrides
return graph_json
