def html(self, identifiers=None, layout_options=None):
"""
Popup with graph - table - bargraph.
We're using the template of RainApp's popup, so this function was
written to result in exactly the same context variables as RainApp's
adapter results in.
"""
add_snippet = layout_options.get('add_snippet', False)
# Make table with given identifiers.
# Layer options contain request - not the best way but it works.
start_date, end_date = current_start_end_dates(
layout_options['request'])
# Convert start and end dates to utc.
start_date_utc = dates.to_utc(start_date)
end_date_utc = dates.to_utc(end_date)
info = []
symbol_url = self.symbol_url()
for identifier in identifiers:
logger.debug("IN HTML, identifier = {0}".format(identifier))
image_graph_url = self.workspace_mixin_item.url(
"lizard_map_adapter_image", (identifier,))
flot_graph_data_url = self.workspace_mixin_item.url(
"lizard_map_adapter_flot_graph_data", (identifier,))
values = self.values(identifier, start_date_utc, end_date_utc)
infoname = self._grid_name(
identifier['region_name'], identifier['identifier'])
info.append({
'identifier': identifier,
'identifier_json': json.dumps(identifier).replace('"', '%22'),
'shortname': infoname,
'name': infoname,
'location': infoname,
'image_graph_url': image_graph_url,
'flot_graph_data_url': flot_graph_data_url,
'url': self.workspace_mixin_item.url(
"lizard_map_adapter_values", [identifier, ],
extra_kwargs={'output_type': 'csv'}),
'workspace_item': self.workspace_mixin_item,
'adapter': self
})
return render_to_string(
'lizard_rainapp/popup_rainapp.html',
{
'title': infoname,
'symbol_url': symbol_url,
'add_snippet': add_snippet,
'workspace_item': self.workspace_item,
'info': info
}
)
def values(self, identifier, start_date, end_date):
# Convert start and end dates to utc.
start_date_utc = dates.to_utc(start_date)
end_date_utc = dates.to_utc(end_date)
timeseries = thredds.get_timeseries(
start_date_utc, end_date_utc, identifier)
if timeseries:
return [{
'datetime': k,
'value': v,
'unit': 'mm/5min'} for (k, v) in timeseries.iter_items()]
else:
return []
def _render_graph(
self, identifiers, start_date, end_date, layout_extra=None,
raise_404_if_empty=False, GraphClass=Graph, **extra_params):
"""
Visualize timeseries in a graph.
Legend is always drawn.
New: this is now a more generalized version of image(), to
support FlotGraph.
"""
tz = pytz.timezone(settings.TIME_ZONE)
today_site_tz = tz.localize(datetime.datetime.now())
start_date_utc = dates.to_utc(start_date)
end_date_utc = dates.to_utc(end_date)
graph = GraphClass(start_date_utc,
end_date_utc,
today=today_site_tz,
tz=tz,
**extra_params)
# Gets timeseries, draws the bars, sets the legend
for identifier in identifiers:
location_name = self._grid_name(
identifier['region_name'], identifier['identifier'])
cached_value_result = self.values(identifier,
start_date_utc,
end_date_utc)
dates_utc_timezoneaware = [row['datetime']
for row in cached_value_result]
values = [row['value'] for row in cached_value_result]
units = [row['unit'] for row in cached_value_result]
unit = ''
if len(units) > 0:
unit = units[0]
if values:
unit_timedelta = UNIT_TO_TIMEDELTA.get(unit, None)
if unit_timedelta:
# We can draw bars corresponding to period
bar_width = graph.get_bar_width(unit_timedelta)
offset = -1 * unit_timedelta
offset_dates = [d + offset
for d in dates_utc_timezoneaware]
else:
# We can only draw spikes.
bar_width = 0
offset_dates = dates_utc_timezoneaware
graph.axes.bar(offset_dates,
values,
edgecolor='blue',
width=bar_width,
label=location_name)
graph.set_ylabel(unit)
# graph.legend()
graph.suptitle(location_name)
# Use first identifier and breaks the loop
break
graph.responseobject = HttpResponse(content_type='image/png')
return graph.render()
def html(self, identifiers=None, layout_options=None):
"""
Popup with graph - table - bargraph.
We're using the template of RainApp's popup, so this function was
written to result in exactly the same context variables as RainApp's
adapter results in.
"""
add_snippet = layout_options.get('add_snippet', False)
# Make table with given identifiers.
# Layer options contain request - not the best way but it works.
start_date, end_date = current_start_end_dates(
layout_options['request'])
# Convert start and end dates to utc.
start_date_utc = dates.to_utc(start_date)
end_date_utc = dates.to_utc(end_date)
td_windows = [datetime.timedelta(days=2),
datetime.timedelta(days=1),
datetime.timedelta(hours=3),
datetime.timedelta(hours=1)]
info = []
symbol_url = self.symbol_url()
for identifier in identifiers:
logger.debug("IN HTML, identifier = {0}".format(identifier))
image_graph_url = self.workspace_mixin_item.url(
"lizard_map_adapter_image", (identifier,))
flot_graph_data_url = self.workspace_mixin_item.url(
"lizard_map_adapter_flot_graph_data", (identifier,))
values = self.values(identifier, start_date_utc, end_date_utc)
area_km2 = 1.0 # A defining feature of the Neerslagradar
# is that we always work in a 1km x 1km
# grid.
period_summary_row = {
'max': sum(v['value'] for v in values),
'start': start_date,
'end': end_date,
'delta': (end_date - start_date).days,
't': t_to_string(None),
}
infoname = self._grid_name(
identifier['region_name'], identifier['identifier'])
info.append({
'identifier': identifier,
'identifier_json': json.dumps(identifier).replace('"', '%22'),
'shortname': infoname,
'name': infoname,
'location': infoname,
'period_summary_row': period_summary_row,
'table': [rain_stats(values,
area_km2,
td_window,
start_date_utc,
end_date_utc)
for td_window in td_windows],
'image_graph_url': image_graph_url,
'flot_graph_data_url': flot_graph_data_url,
'url': self.workspace_mixin_item.url(
"lizard_map_adapter_values", [identifier, ],
extra_kwargs={'output_type': 'csv'}),
'workspace_item': self.workspace_mixin_item,
'adapter': self
})
return render_to_string(
'lizard_rainapp/popup_rainapp.html',
{
'title': infoname,
'symbol_url': symbol_url,
'add_snippet': add_snippet,
'workspace_item': self.workspace_item,
'info': info
}
)
def html(self, identifiers=None, layout_options=None):
"""
Popup with graph - table - bargraph.
We're using the template of RainApp's popup, so this function was
written to result in exactly the same context variables as RainApp's
adapter results in.
"""
add_snippet = layout_options.get('add_snippet', False)
# Make table with given identifiers.
# Layer options contain request - not the best way but it works.
start_date, end_date = current_start_end_dates(
layout_options['request'])
# Convert start and end dates to utc.
start_date_utc = dates.to_utc(start_date)
end_date_utc = dates.to_utc(end_date)
info = []
symbol_url = self.symbol_url()
for identifier in identifiers:
logger.debug("IN HTML, identifier = {0}".format(identifier))
image_graph_url = self.workspace_mixin_item.url(
"lizard_map_adapter_image", (identifier, ))
flot_graph_data_url = self.workspace_mixin_item.url(
"lizard_map_adapter_flot_graph_data", (identifier, ))
values = self.values(identifier, start_date_utc, end_date_utc)
infoname = self._grid_name(identifier['region_name'],
identifier['identifier'])
info.append({
'identifier':
identifier,
'identifier_json':
json.dumps(identifier).replace('"', '%22'),
'shortname':
infoname,
'name':
infoname,
'location':
infoname,
'image_graph_url':
image_graph_url,
'flot_graph_data_url':
flot_graph_data_url,
'url':
self.workspace_mixin_item.url(
"lizard_map_adapter_values", [
identifier,
],
extra_kwargs={'output_type': 'csv'}),
'workspace_item':
self.workspace_mixin_item,
'adapter':
self
})
return render_to_string(
'lizard_rainapp/popup_rainapp.html', {
'title': infoname,
'symbol_url': symbol_url,
'add_snippet': add_snippet,
'workspace_item': self.workspace_item,
'info': info
})
def _render_graph(self,
identifiers,
start_date,
end_date,
layout_extra=None,
raise_404_if_empty=False,
GraphClass=Graph,
**extra_params):
"""
Visualize timeseries in a graph.
Legend is always drawn.
New: this is now a more generalized version of image(), to
support FlotGraph.
"""
tz = pytz.timezone(settings.TIME_ZONE)
today_site_tz = tz.localize(datetime.datetime.now())
start_date_utc = dates.to_utc(start_date)
end_date_utc = dates.to_utc(end_date)
graph = GraphClass(start_date_utc,
end_date_utc,
today=today_site_tz,
tz=tz,
**extra_params)
# Gets timeseries, draws the bars, sets the legend
for identifier in identifiers:
location_name = self._grid_name(identifier['region_name'],
identifier['identifier'])
cached_value_result = self.values(identifier, start_date_utc,
end_date_utc)
dates_utc_timezoneaware = [
row['datetime'] for row in cached_value_result
]
values = [row['value'] for row in cached_value_result]
units = [row['unit'] for row in cached_value_result]
unit = ''
if len(units) > 0:
unit = units[0]
if values:
unit_timedelta = UNIT_TO_TIMEDELTA.get(unit, None)
if unit_timedelta:
# We can draw bars corresponding to period
bar_width = graph.get_bar_width(unit_timedelta)
offset = -1 * unit_timedelta
offset_dates = [
d + offset for d in dates_utc_timezoneaware
]
else:
# We can only draw spikes.
bar_width = 0
offset_dates = dates_utc_timezoneaware
graph.axes.bar(offset_dates,
values,
edgecolor='blue',
width=bar_width,
label=location_name)
graph.set_ylabel(unit)
# graph.legend()
graph.suptitle(location_name)
# Use first identifier and breaks the loop
break
graph.responseobject = HttpResponse(content_type='image/png')
return graph.render()
