def build(self):
base_code = build_code_export(
self.data_id,
imports="{}\n\n".format("\n".join([
"import numpy as np",
"import pandas as pd",
"import plotly.graph_objs as go",
])),
)
return_data, code = self.analysis.build(self)
return dict(code=build_final_chart_code(base_code + code),
query=self.query,
cols=global_state.get_dtypes(self.data_id),
dtype=self.dtype,
chart_type=self.analysis_type,
**return_data)
def on_data(
_ts1,
_ts2,
_ts3,
_ts4,
_ts5,
_ts6,
_ts7,
_ts8,
load_clicks,
inputs,
chart_inputs,
yaxis_data,
map_data,
cs_data,
treemap_data,
funnel_data,
last_chart_inputs,
auto_load,
prev_load_clicks,
ext_aggs,
):
"""
dash callback controlling the building of dash charts
"""
all_inputs = dict_merge(
inputs,
chart_inputs,
dict(yaxis=yaxis_data or {}),
map_data,
cs_data,
treemap_data,
funnel_data,
dict(extended_aggregation=ext_aggs or [])
if inputs.get("chart_type") not in NON_EXT_AGGREGATION else {},
)
if not auto_load and load_clicks == prev_load_clicks:
raise PreventUpdate
if all_inputs == last_chart_inputs:
raise PreventUpdate
if is_app_root_defined(dash_app.server.config.get("APPLICATION_ROOT")):
all_inputs["app_root"] = dash_app.server.config["APPLICATION_ROOT"]
charts, range_data, code = build_chart(**all_inputs)
agg_disabled = len(ext_aggs) > 0
ext_agg_tt = text("ext_agg_desc")
ext_agg_warning = show_style(agg_disabled)
if agg_disabled:
ext_agg_tt = html.Div([
html.Span(text("ext_agg_desc")),
html.Br(),
html.Ul([
html.Li(
extended_aggregations.build_extended_agg_desc(ext_agg),
className="mb-0",
) for ext_agg in ext_aggs
]),
])
final_cols = build_final_cols(
make_list(inputs.get("y")),
inputs.get("z"),
inputs.get("agg"),
ext_aggs
if inputs.get("chart_type") not in NON_EXT_AGGREGATION else [],
)
return (
charts,
all_inputs,
range_data,
build_final_chart_code(code),
get_yaxis_type_tabs(final_cols),
load_clicks,
dict(display="block" if valid_chart(**all_inputs) else "none"),
agg_disabled,
ext_agg_tt,
ext_agg_warning,
)