Components to assist with user information, including about the app,
Help message settings
Attributes:
Name |
Type |
Description |
open |
Reactive[bool]
|
whether menu is open or not
|
tab |
Reactive[int]
|
|
lookup |
dict[int, str]
|
|
Source code in src/sdss_explorer/dashboard/components/sidebar/glossary.py
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60 | class Help:
"""
Help message settings
Attributes:
open (solara.Reactive[bool]): whether menu is open or not
tab (solara.Reactive[int]): which tab is open
lookup (dict[int,str]): the lookup instance
"""
open = sl.reactive(False)
tab = sl.reactive("")
lookup = lookup
@staticmethod
def update(tab):
Help.tab.set(Help.lookup[tab])
Help.open.set(True)
@staticmethod
def close():
Help.tab.set(1)
Help.open.set(False)
|
Complete list of all columns and what they do
Source code in src/sdss_explorer/dashboard/components/sidebar/glossary.py
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161 | @sl.component()
def ColumnGlossary():
"""Complete list of all columns and what they do"""
# TODO: fetch via valis instead of via precompiled json
# TODO: make datamodel/airflow render for data file
dm = State.datamodel.value
query, set_query = sl.use_state("")
filter, set_filter = sl.use_state(None)
dmf = dm
if filter is not None:
dmf = dm[filter]
def update_columns():
# always need to cut
if query:
# union of regex across name and desc
alpha = filter_regex(dm, query=query, col="name")
beta = filter_regex(dm, query=query, col="description")
set_filter(np.logical_or(alpha, beta))
elif query == "":
set_filter(None)
result = sl.lab.use_task(update_columns, dependencies=[query])
with rv.ExpansionPanel() as main:
rv.ExpansionPanelHeader(children=["Column Glossary"])
with rv.ExpansionPanelContent():
with sl.Div():
if dm is None:
sl.Error("Error in datamodel load.")
else:
InputTextExposed(
label="Filter columns by name",
value=query,
on_value=set_query,
continuous_update=True,
)
with sl.GridFixed(columns=1,
align_items="end",
justify_items="stretch"):
if result.finished:
if len(dmf) == 0:
sl.Warning(
"No columns found, try a different filter")
else:
# summary text logic
if len(dmf) > 20:
summary = (
f"{len(dmf):,}/{len(dm):,} columns (showing 20)"
)
elif len(dmf) == len(dm):
summary = f"{len(dm):,} total columns (showing 20)"
else:
summary = f"{len(dmf):,}/{len(dm):,} columns"
sl.Info(summary)
# TODO: change from showing just first 20 to more via lazy-loading
for n, d in enumerate(dmf.iloc):
if n > 19:
break
with sl.Columns([1, 1]):
sl.Text(d["name"])
sl.Text(d["description"])
else:
with sl.Div():
sl.Text("Loading...")
rv.ProgressCircular(indeterminate=True,
class_="solara-progress")
return main
|
Dialog popup to provide short help blurbs for the application. Expected to read markdown files.
Source code in src/sdss_explorer/dashboard/components/sidebar/glossary.py
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88 | @sl.component()
def HelpBlurb():
"""Dialog popup to provide short help blurbs for the application. Expected to read markdown files."""
with rv.AppBarNavIcon() as main:
with sl.Tooltip("About the app + Help"):
sl.Button(
icon_name="mdi-information-outline",
icon=True,
text=True,
on_click=lambda: Help.update("about"),
)
with Dialog(
Help.open.value,
ok=None,
title="About",
cancel="close",
max_width="960", # 1920/2
on_cancel=lambda: Help.close(),
):
with rv.Card(flat=True, style_="width: 100%; height: 100%"):
with Tabs(value=Help.tab.value, on_value=Help.tab.set):
for label, (icon, text) in sorted(help_text.items()):
with Tab(label=label, icon_name=icon):
sl.Markdown(text)
return main
|