self._add_ctrl_col(),
self._add_plotting_col()
]
+ ),
+ dbc.Offcanvas(
+ class_name="w-75",
+ id="offcanvas-documentation",
+ title="Documentation",
+ placement="end",
+ is_open=False,
+ children=html.Iframe(
+ src=C.URL_DOC_REL_NOTES,
+ width="100%",
+ height="100%"
+ )
)
]
)
return dbc.NavbarSimple(
id="navbarsimple-main",
children=[
- dbc.NavItem(
- dbc.NavLink(
- C.COMP_TITLE,
- disabled=True,
- external_link=True,
- href="#"
- )
- )
+ dbc.NavItem(dbc.NavLink(
+ C.REPORT_TITLE,
+ external_link=True,
+ href="/report"
+ )),
+ dbc.NavItem(dbc.NavLink(
+ "Comparisons",
+ active=True,
+ external_link=True,
+ href="/comparisons"
+ )),
+ dbc.NavItem(dbc.NavLink(
+ "Coverage Data",
+ external_link=True,
+ href="/coverage"
+ )),
+ dbc.NavItem(dbc.NavLink(
+ "Documentation",
+ id="btn-documentation",
+ ))
],
brand=C.BRAND,
brand_href="/",
[
State("store-control-panel", "data"),
State("store-selected", "data"),
- State("store-table-data", "data")
+ State("store-table-data", "data"),
+ State("store-filtered-table-data", "data"),
+ State({"type": "table", "index": ALL}, "data")
],
[
Input("url", "href"),
control_panel: dict,
selected: dict,
store_table_data: list,
+ filtered_data: list,
+ table_data: list,
href: str,
normalize: list,
table_filter: str,
on_draw = False
plotting_area = no_update
- table_data = list()
- filtered_data = None
trigger = Trigger(callback_context.triggered)
if trigger.type == "url" and url_params:
"cmp-val-val": str()
})
elif trigger.type == "table" and trigger.idx == "comparison":
- table_data = filter_table_data(
+ filtered_data = filter_table_data(
store_table_data,
table_filter[0]
)
- filtered_data = table_data
- table_data = [table_data, ]
+ table_data = [filtered_data, ]
if all((on_draw, selected["reference"]["set"],
selected["compare"]["set"], )):
)
)
store_table_data = table.to_dict("records")
+ filtered_data = store_table_data
+ if table_data:
+ table_data = [store_table_data, ]
ret_val = [
ctrl_panel.panel,
if not table_data:
raise PreventUpdate
-
+
if filtered_table_data:
table = pd.DataFrame.from_records(filtered_table_data)
else:
table = pd.DataFrame.from_records(table_data)
return dcc.send_data_frame(table.to_csv, C.COMP_DOWNLOAD_FILE_NAME)
+
+ @app.callback(
+ Output("offcanvas-documentation", "is_open"),
+ Input("btn-documentation", "n_clicks"),
+ State("offcanvas-documentation", "is_open")
+ )
+ def toggle_offcanvas_documentation(n_clicks, is_open):
+ if n_clicks:
+ return not is_open
+ return is_open