def group_values(
chart_type,
group_cols,
map_group_cols,
cs_group_cols,
treemap_group_cols,
pathname,
inputs,
prev_group_vals,
):
data_id = get_data_id(pathname)
group_cols = group_cols
if chart_type == "maps":
group_cols = map_group_cols
elif chart_type == "candlestick":
group_cols = cs_group_cols
elif chart_type == "treemap":
group_cols = treemap_group_cols
group_cols = make_list(group_cols)
group_types = get_group_types(inputs, data_id, group_cols)
if "groups" not in group_types:
return [], None
group_vals = run_query(
global_state.get_data(data_id),
inputs.get("query"),
global_state.get_context_variables(data_id),
)
group_vals = build_group_val_options(group_vals, group_cols)
selections = []
available_vals = [gv["value"] for gv in group_vals]
if prev_group_vals is not None:
selections = [pgv for pgv in prev_group_vals if pgv in available_vals]
if not len(selections) and len(group_vals) <= MAX_GROUPS:
selections = available_vals
return group_vals, selections
def group_values(chart_type, group_cols, map_group_cols, pathname, inputs,
prev_group_vals):
group_cols = make_list(group_cols)
if show_input_handler(chart_type
or "line")("group") and not len(group_cols):
return [], None
elif chart_type == "maps": # all maps have a group input
group_cols = make_list(map_group_cols)
if not len(group_cols):
return [], None
data_id = get_data_id(pathname)
group_vals = run_query(
global_state.get_data(data_id),
inputs.get("query"),
global_state.get_context_variables(data_id),
)
group_vals = build_group_val_options(group_vals, group_cols)
selections = []
available_vals = [gv["value"] for gv in group_vals]
if prev_group_vals is not None:
selections = [
pgv for pgv in prev_group_vals if pgv in available_vals
]
if not len(selections) and len(group_vals) <= MAX_GROUPS:
selections = available_vals
return group_vals, selections
def group_values(
chart_type,
group_cols,
map_group_cols,
cs_group_cols,
treemap_group_cols,
funnel_group_cols,
clustergram_group_cols,
pareto_group_cols,
inputs,
prev_group_vals,
):
data_id = inputs["data_id"]
group_cols = group_cols
if chart_type == "maps":
group_cols = map_group_cols
elif chart_type == "candlestick":
group_cols = cs_group_cols
elif chart_type == "treemap":
group_cols = treemap_group_cols
elif chart_type == "funnel":
group_cols = funnel_group_cols
elif chart_type == "clustergram":
group_cols = clustergram_group_cols
elif chart_type == "pareto":
group_cols = pareto_group_cols
group_cols = make_list(group_cols)
group_types = get_group_types(inputs, group_cols)
if "groups" not in group_types:
return [], None
group_vals = run_query(
handle_predefined(data_id),
inputs.get("query"),
global_state.get_context_variables(data_id),
)
group_vals = build_group_val_options(group_vals, group_cols)
selections = []
available_vals = [gv["value"] for gv in group_vals]
if prev_group_vals is not None:
selections = [
pgv for pgv in prev_group_vals if pgv in available_vals
]
if not len(selections) and len(group_vals) <= MAX_GROUPS:
selections = available_vals
return group_vals, selections
