feat(text-cleaner): collapse options + auto-scroll to Results on run

After clicking Clean Text the user was left at the bottom of the
script with the Options block still expanded and no viewport movement
— they had to scroll to find the Results.

- Wrap the whole Options block in an outer ``st.expander("Options",
  expanded=not _has_result)``. After the Clean Text rerun, both
  Preview AND Options collapse, leaving the primary action button +
  Results as the only prominent elements above the fold. The inner
  Advanced-options expander is preserved as a nested expander
  (supported in Streamlit 1.36+; this repo pins 1.35+).
- Add a 1px anchor div ``#textclean-results-anchor`` immediately
  before the Results subheader.
- On Clean Text click, set a one-shot ``_textclean_scroll_to_results``
  flag in session state; on the next render, pop the flag and inject
  a tiny ``st.components.v1.html`` iframe whose ``<script>`` calls
  ``scrollIntoView`` on the parent document's anchor. One-shot so
  re-renders triggered by other widgets (Show-hidden toggle, etc.)
  don't jerk the viewport back to the top of Results.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-05-16 20:50:43 +00:00
parent ca14ce2952
commit 0a61d52200

View File

@@ -123,82 +123,86 @@ st.divider()
# ---------------------------------------------------------------------------
# Options
# ---------------------------------------------------------------------------
#
# Wrapped in an outer expander whose default state mirrors the preview
# expander above: open before a result exists, folded once the user has
# clicked Clean Text. Together they push the Results section to the top
# of the visible area after a run.
st.subheader("Options")
preset_label = st.radio(
"Preset",
["excel-hygiene (recommended)", "minimal", "paranoid"],
index=0,
horizontal=True,
help=(
"excel-hygiene: trim, collapse whitespace, fold smart quotes, strip "
"invisible chars, normalize line endings, NFC. "
"minimal: only trim and collapse. "
"paranoid: everything including NFKC compat fold (lossy)."
),
)
preset_key = preset_label.split(" ", 1)[0]
options = CleanOptions.from_preset(preset_key)
with st.expander("Advanced options"):
col_a, col_b = st.columns(2)
with col_a:
options.trim = st.checkbox("Trim leading/trailing whitespace", value=options.trim)
options.collapse_whitespace = st.checkbox(
"Collapse internal whitespace", value=options.collapse_whitespace,
)
options.normalize_line_endings = st.checkbox(
"Normalize line endings (\\r\\n → \\n)", value=options.normalize_line_endings,
)
options.strip_control = st.checkbox(
"Strip control characters", value=options.strip_control,
)
options.strip_bom = st.checkbox("Strip BOM", value=options.strip_bom)
with col_b:
options.fold_smart_chars = st.checkbox(
"Fold smart characters (curly quotes, em-dash, NBSP)",
value=options.fold_smart_chars,
)
options.strip_zero_width = st.checkbox(
"Strip zero-width / invisible characters", value=options.strip_zero_width,
)
options.nfc = st.checkbox("Unicode NFC normalization", value=options.nfc)
options.nfkc = st.checkbox(
"Unicode NFKC compat fold (lossy: ① → 1, fi → fi)",
value=options.nfkc,
)
st.markdown("**Scope**")
string_cols = [
c for c in df.columns
if pd.api.types.is_object_dtype(df[c]) or pd.api.types.is_string_dtype(df[c])
]
selected_cols = st.multiselect(
"Columns to clean (default: all string columns)",
options=list(df.columns),
default=string_cols,
)
skip_cols = st.multiselect(
"Columns to skip even if they look like text",
options=list(df.columns),
default=[],
)
options.columns = selected_cols if selected_cols else None
options.skip_columns = list(skip_cols)
st.markdown("**Case conversion**")
case_global = st.selectbox(
"Apply case conversion to selected columns",
["None", "UPPER", "lower", "Title", "Sentence"],
with st.expander("Options", expanded=not _has_result):
preset_label = st.radio(
"Preset",
["excel-hygiene (recommended)", "minimal", "paranoid"],
index=0,
horizontal=True,
help=(
"excel-hygiene: trim, collapse whitespace, fold smart quotes, strip "
"invisible chars, normalize line endings, NFC. "
"minimal: only trim and collapse. "
"paranoid: everything including NFKC compat fold (lossy)."
),
)
case_map = {
"UPPER": "upper", "lower": "lower",
"Title": "title", "Sentence": "sentence",
}
if case_global != "None":
options.case = case_map[case_global] # type: ignore[assignment]
preset_key = preset_label.split(" ", 1)[0]
options = CleanOptions.from_preset(preset_key)
with st.expander("Advanced options"):
col_a, col_b = st.columns(2)
with col_a:
options.trim = st.checkbox("Trim leading/trailing whitespace", value=options.trim)
options.collapse_whitespace = st.checkbox(
"Collapse internal whitespace", value=options.collapse_whitespace,
)
options.normalize_line_endings = st.checkbox(
"Normalize line endings (\\r\\n → \\n)", value=options.normalize_line_endings,
)
options.strip_control = st.checkbox(
"Strip control characters", value=options.strip_control,
)
options.strip_bom = st.checkbox("Strip BOM", value=options.strip_bom)
with col_b:
options.fold_smart_chars = st.checkbox(
"Fold smart characters (curly quotes, em-dash, NBSP)",
value=options.fold_smart_chars,
)
options.strip_zero_width = st.checkbox(
"Strip zero-width / invisible characters", value=options.strip_zero_width,
)
options.nfc = st.checkbox("Unicode NFC normalization", value=options.nfc)
options.nfkc = st.checkbox(
"Unicode NFKC compat fold (lossy: ① → 1, fi → fi)",
value=options.nfkc,
)
st.markdown("**Scope**")
string_cols = [
c for c in df.columns
if pd.api.types.is_object_dtype(df[c]) or pd.api.types.is_string_dtype(df[c])
]
selected_cols = st.multiselect(
"Columns to clean (default: all string columns)",
options=list(df.columns),
default=string_cols,
)
skip_cols = st.multiselect(
"Columns to skip even if they look like text",
options=list(df.columns),
default=[],
)
options.columns = selected_cols if selected_cols else None
options.skip_columns = list(skip_cols)
st.markdown("**Case conversion**")
case_global = st.selectbox(
"Apply case conversion to selected columns",
["None", "UPPER", "lower", "Title", "Sentence"],
index=0,
)
case_map = {
"UPPER": "upper", "lower": "lower",
"Title": "title", "Sentence": "sentence",
}
if case_global != "None":
options.case = case_map[case_global] # type: ignore[assignment]
# ---------------------------------------------------------------------------
# Run
@@ -215,10 +219,13 @@ if st.button("Clean Text", type="primary", use_container_width=True):
st.stop()
st.session_state["textclean_result"] = result
st.session_state["textclean_input_name"] = uploaded.name
# Force a second rerun so the preview-section expander above sees
# the new result on its NEXT script pass and collapses itself.
# Without this the preview stays expanded until the user touches
# any other widget.
# One-shot flag picked up on the next pass to scroll the parent
# document to the Results anchor (see scroll snippet below).
st.session_state["_textclean_scroll_to_results"] = True
# Force a second rerun so the preview and options expanders see
# the new result on the NEXT script pass and collapse themselves.
# Without this they stay expanded until the user touches any
# other widget.
st.rerun()
result = st.session_state.get("textclean_result")
@@ -229,6 +236,16 @@ if result is None:
# Results
# ---------------------------------------------------------------------------
# Anchor target for the auto-scroll snippet at the end of this block.
# A bare ``<div id="...">`` survives Streamlit's HTML sanitizer (only
# ``<script>`` is stripped), and a 1px-tall div doesn't visually shift
# anything. Placed before the subheader so the scrolled-to viewport
# starts a few pixels above the section heading rather than below it.
st.markdown(
'<div id="textclean-results-anchor" style="height:1px"></div>',
unsafe_allow_html=True,
)
st.subheader("Results")
pct = (result.cells_changed / result.cells_total * 100.0) if result.cells_total else 0.0
@@ -344,3 +361,30 @@ with dl_c:
st.divider()
st.caption("Runs locally. Your data never leaves this computer. | DataTools v3.0")
# ---------------------------------------------------------------------------
# Post-run auto-scroll
# ---------------------------------------------------------------------------
#
# When the user clicks Clean Text, the preview + options collapse but
# Streamlit by itself doesn't scroll — the Results section is at the
# bottom of a tall script so the user has to find it. Inject a tiny
# component-html iframe that calls ``scrollIntoView`` on the parent's
# Results anchor. Streamlit's main page is same-origin with component
# iframes so ``window.parent.document`` access is allowed.
#
# The flag is one-shot (``pop`` removes it) so re-renders triggered by
# unrelated widgets in the Results section (e.g., the Show-hidden
# toggle) don't yank the viewport back to the top of Results.
if st.session_state.pop("_textclean_scroll_to_results", False):
from streamlit.components.v1 import html as _components_html
_components_html(
"""
<script>
const doc = window.parent.document;
const target = doc.getElementById('textclean-results-anchor');
if (target) target.scrollIntoView({behavior: 'smooth', block: 'start'});
</script>
""",
height=0,
)