feat(tools): unified post-run UX across all Ready tool pages

Apply the Clean Text page's post-run UX pattern to every other Ready
tool page (Find Duplicates, Standardize Formats, Fix Missing Values,
Map Columns, Automated Workflows) for consistency and ease of use.

Per page:

1. Preview wrapped in ``st.expander(f"Preview: {filename}",
   expanded=not _has_result)``. Open before a result exists, folded
   afterwards.

2. Options / configuration controls wrapped in
   ``st.expander("Options", expanded=not _has_result)``. Inner
   sub-expanders preserved (Streamlit 1.36+ supports nesting).

3. After the primary action stashes the result, set a one-shot
   ``_<tool>_scroll_to_results`` flag in session state and call
   ``st.rerun()`` so the preview + options expanders see the new
   state on the next pass and collapse themselves.

4. ``<div id="<tool>-results-anchor" style="height:1px">`` placed
   immediately before the Results subheader.

5. End-of-page: pop the scroll flag and inject a tiny
   ``streamlit.components.v1.html`` iframe whose ``<script>`` calls
   ``scrollIntoView`` on the parent document's anchor. One-shot, so
   unrelated reruns (toggling Show-hidden, etc.) don't yank the
   viewport.

6. Download buttons hardened against the multi-button Streamlit
   footgun: byte buffers pre-computed outside the column scopes,
   explicit unique ``key="<tool>_dl_<purpose>"`` per button,
   ``use_container_width=True``, and previously-conditional buttons
   now render unconditionally with ``disabled=True`` + a help
   tooltip when the underlying data is empty so layout stays steady.

Per-page judgment calls (already noted in agent reports):

- Find Duplicates: sheet picker and delimiter selector kept OUTSIDE
  expanders (the user still needs to see them when a file fails to
  parse).
- Fix Missing Values: missingness profile wrapped INSIDE the Options
  expander together with Strategy — the Results section already
  shows a before/after missingness comparison that supersedes the
  static input profile.
- Map Columns: all three subsections (Target schema, Strategy,
  Mapping) wrapped under one outer Options expander, matching the
  Text Cleaner pattern.
- Automated Workflows: inner "Recommended tool order" expander stays
  nested inside the outer Options wrap; Run button stays outside
  Options so the user can re-run after tweaking the (collapsed)
  editor.

2008 tests pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

src/gui/pages/1_Deduplicator.py

@@ -173,12 +173,23 @@ if uploaded is not None:
                 st.session_state["review_decisions"] = {}
                 tmp_path.unlink(missing_ok=True)
 
+        # Collapse the input preview + options once a result exists so
+        # the Results section below becomes the primary visual focus
+        # after Find Duplicates runs. Mirrors the Clean Text pattern.
+        _has_result = st.session_state.get("result") is not None
+
         # Preview
+        with st.expander(f"Preview: {uploaded.name}", expanded=not _has_result):
+            # Subheader retained inside the expander so collected_text in
+            # the workflow tests still finds "Preview: <name>" — Streamlit's
+            # AppTest does not surface expander labels through the
+            # markdown/caption/subheader collections.
             st.subheader(f"Preview: {uploaded.name}")
             st.caption(f"{len(df)} rows, {len(df.columns)} columns")
             st.dataframe(df.head(10), use_container_width=True)
 
         # Advanced options
+        with st.expander("Options", expanded=not _has_result):
             settings = config_panel(df)
 
             # Apply loaded config if present
@@ -218,6 +229,11 @@ if uploaded is not None:
             progress_bar.empty()
             st.session_state["result"] = result
             st.session_state["review_decisions"] = {}
+            # One-shot flag for the scroll snippet at the bottom of the
+            # page. Force a rerun so the Preview / Options expanders see
+            # the new result on the next pass and collapse themselves.
+            st.session_state["_dedup_scroll_to_results"] = True
+            st.rerun()
 
         # -------------------------------------------------------------------
         # Results
@@ -227,6 +243,14 @@ if uploaded is not None:
 
         if result is not None:
             st.divider()
+            # Anchor target for the post-run auto-scroll snippet at the
+            # bottom of this page. A bare ``<div id="...">`` survives
+            # Streamlit's HTML sanitizer; a 1px-tall div doesn't shift
+            # layout.
+            st.markdown(
+                '<div id="dedup-results-anchor" style="height:1px"></div>',
+                unsafe_allow_html=True,
+            )
             st.subheader("Results")
 
             # Summary + download buttons
@@ -324,26 +348,44 @@ if uploaded is not None:
                             df, result.match_groups, decisions,
                         )
 
-                        csv_bytes = reviewed_df.to_csv(
+                        # Pre-compute every byte buffer up front so each
+                        # ``st.download_button`` sees stable ``data``
+                        # across reruns. Render the empty-removed case
+                        # as a disabled button (rather than hiding it)
+                        # so layout stays steady and the user can see
+                        # why the download isn't available.
+                        reviewed_bytes = reviewed_df.to_csv(
                             index=False
                         ).encode("utf-8-sig")
+                        reviewed_removed_empty = reviewed_removed.empty
+                        reviewed_removed_bytes = (
+                            reviewed_removed.to_csv(index=False).encode("utf-8-sig")
+                            if not reviewed_removed_empty
+                            else b""
+                        )
+
                         st.download_button(
                             "Download Reviewed & Deduplicated CSV",
-                            data=csv_bytes,
+                            data=reviewed_bytes,
                             file_name="deduplicated_reviewed.csv",
                             mime="text/csv",
-                            key="reviewed_download",
+                            key="dedup_dl_reviewed",
+                            use_container_width=True,
                         )
-                        if not reviewed_removed.empty:
-                            removed_bytes = reviewed_removed.to_csv(
-                                index=False
-                            ).encode("utf-8-sig")
                         st.download_button(
                             "Download Reviewed Removed Rows",
-                                data=removed_bytes,
+                            data=reviewed_removed_bytes,
                             file_name="removed_reviewed.csv",
                             mime="text/csv",
-                                key="reviewed_removed_download",
+                            key="dedup_dl_reviewed_removed",
+                            disabled=reviewed_removed_empty,
+                            help=(
+                                "No rows were removed under the current "
+                                "review decisions."
+                                if reviewed_removed_empty
+                                else None
+                            ),
+                            use_container_width=True,
                         )
 
             # Log entries
@@ -365,3 +407,27 @@ st.caption(
     "Runs locally. Your data never leaves this computer. "
     "| DataTools v3.0"
 )
+
+# ---------------------------------------------------------------------------
+# Post-run auto-scroll
+# ---------------------------------------------------------------------------
+#
+# When Find Duplicates fires, the preview + options collapse, but
+# Streamlit by itself doesn't scroll — the Results section sits below a
+# tall page so the user has to hunt for it. Inject a tiny
+# component-html iframe that calls ``scrollIntoView`` on the parent's
+# Results anchor. The flag is one-shot (``pop`` removes it) so reruns
+# triggered by unrelated widgets in the Results section don't yank the
+# viewport back to the top of Results.
+if st.session_state.pop("_dedup_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('dedup-results-anchor');
+          if (target) target.scrollIntoView({behavior: 'smooth', block: 'start'});
+        </script>
+        """,
+        height=0,
+    )

src/gui/pages/3_Format_Standardizer.py

@@ -99,7 +99,11 @@ except Exception as e:
     )
     st.stop()
 
-st.subheader(f"Preview: {uploaded.name}")
+# Collapse the input preview once the user has clicked Standardize Formats
+# so the Results section below is the primary visual focus. The user can
+# re-expand the expander to re-inspect the source rows.
+_has_result = st.session_state.get("fmtstd_result") is not None
+with st.expander(f"Preview: {uploaded.name}", expanded=not _has_result):
     st.caption(f"{len(df)} rows, {len(df.columns)} columns")
     st.dataframe(df.head(10), use_container_width=True)
 st.divider()
@@ -180,7 +184,16 @@ def _detect_field_type(col: str, samples: list[str]) -> FieldType | None:
 # ---------------------------------------------------------------------------
 # 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 Standardize Formats. Together they push the Results section to
+# the top of the visible area after a run.
 
+column_types: dict[str, FieldType] = {}
+extra_abbreviations: dict[str, str] = {}
+
+with st.expander("Options", expanded=not _has_result):
     st.subheader("Column types")
     st.caption(
         "Assign each column to a field type. Auto-detected suggestions are "
@@ -202,7 +215,6 @@ _LABELS = list(_FIELD_LABELS.keys())
     sample_size = min(len(df), 200)
     sample_df = df.head(sample_size)
 
-column_types: dict[str, FieldType] = {}
     cols_per_row = 3
     columns_iter = list(df.columns)
     for i in range(0, len(columns_iter), cols_per_row):
@@ -445,7 +457,6 @@ with opt_cols[1]:
     # table. Show it in a data_editor so the override is visible — the table
     # is small, this is the right surface.
 
-extra_abbreviations: dict[str, str] = {}
     if any(ft == FieldType.ADDRESS for ft in column_types.values()):
         with st.expander("Custom address abbreviations (advanced)", expanded=False):
             st.caption(
@@ -528,6 +539,14 @@ if st.button(
             st.stop()
     st.session_state["fmtstd_result"] = result
     st.session_state["fmtstd_input_name"] = uploaded.name
+    # 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["_fmtstd_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("fmtstd_result")
 if result is None:
@@ -538,6 +557,16 @@ 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="fmtstd-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
@@ -574,36 +603,83 @@ st.dataframe(result.standardized_df.head(10), use_container_width=True)
 # ---------------------------------------------------------------------------
 # Downloads
 # ---------------------------------------------------------------------------
+#
+# All three byte buffers are prepared up front (outside the columns) so
+# each ``st.download_button`` sees stable ``data`` across reruns and an
+# explicit ``key`` — without those, Streamlit auto-derived widget IDs
+# can collide for multiple download_buttons in adjacent columns and
+# only the first one actually fires on click. The empty-changes case
+# now renders a disabled button (rather than vanishing) so the layout
+# stays steady and the user understands why nothing's available.
 
 st.divider()
 stem = Path(st.session_state.get("fmtstd_input_name", "input")).stem
 
+standardized_bytes = result.standardized_df.to_csv(index=False).encode("utf-8-sig")
+changes_bytes = (
+    result.changes.to_csv(index=False).encode("utf-8-sig")
+    if not result.changes.empty
+    else b""
+)
+config_bytes = json.dumps(options.to_dict(), indent=2).encode("utf-8")
+
 dl_a, dl_b, dl_c = st.columns(3)
 with dl_a:
-    standardized_bytes = result.standardized_df.to_csv(index=False).encode("utf-8-sig")
     st.download_button(
         "Download standardized CSV",
         data=standardized_bytes,
         file_name=f"{stem}_standardized.csv",
         mime="text/csv",
+        key="fmtstd_dl_standardized",
+        use_container_width=True,
     )
 with dl_b:
-    if not result.changes.empty:
-        changes_bytes = result.changes.to_csv(index=False).encode("utf-8-sig")
     st.download_button(
         "Download changes audit",
         data=changes_bytes,
         file_name=f"{stem}_changes.csv",
         mime="text/csv",
+        key="fmtstd_dl_changes",
+        disabled=result.changes.empty,
+        help="No changes to audit." if result.changes.empty else None,
+        use_container_width=True,
     )
 with dl_c:
-    config_bytes = json.dumps(options.to_dict(), indent=2).encode("utf-8")
     st.download_button(
         "Download config JSON",
         data=config_bytes,
         file_name="format_standardize_config.json",
         mime="application/json",
+        key="fmtstd_dl_config",
+        use_container_width=True,
     )
 
 st.divider()
 st.caption("Runs locally. Your data never leaves this computer. | DataTools v3.0")
+
+# ---------------------------------------------------------------------------
+# Post-run auto-scroll
+# ---------------------------------------------------------------------------
+#
+# When the user clicks Standardize Formats, 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 don't yank the viewport back
+# to the top of Results.
+if st.session_state.pop("_fmtstd_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('fmtstd-results-anchor');
+          if (target) target.scrollIntoView({behavior: 'smooth', block: 'start'});
+        </script>
+        """,
+        height=0,
+    )

src/gui/pages/4_Missing_Values.py

@@ -95,16 +95,31 @@ except Exception as e:
     )
     st.stop()
 
-st.subheader(f"Preview: {uploaded.name}")
+# Collapse the input preview + options once the user has clicked
+# Handle Missing Values so the Results section below is the primary
+# visual focus. The user can re-expand to re-inspect the source rows
+# or tweak strategy and rerun.
+_has_result = st.session_state.get("missing_result") is not None
+
+with st.expander(f"Preview: {uploaded.name}", expanded=not _has_result):
     st.caption(f"{len(df)} rows, {len(df.columns)} columns")
     st.dataframe(df.head(10), use_container_width=True)
 
 st.divider()
 
 # ---------------------------------------------------------------------------
-# Initial profile (read-only)
+# Options (Missingness profile + Strategy)
 # ---------------------------------------------------------------------------
+#
+# Wrapped in an outer expander whose default state mirrors the preview
+# expander above: open before a result exists, folded once the user has
+# clicked Handle Missing Values. The Missingness profile lives inside
+# this expander too — after a run the Results section shows a richer
+# before-vs-after comparison that supersedes the static input profile,
+# so keeping it tucked away with the controls cleanly pushes Results
+# to the top of the visible area.
 
+with st.expander("Options", expanded=not _has_result):
     st.subheader("Missingness profile")
 
     initial_profile = profile_missing(df, MissingOptions())
@@ -123,10 +138,6 @@ if initial_profile.cells_missing == 0:
 
     st.divider()
 
-# ---------------------------------------------------------------------------
-# Options
-# ---------------------------------------------------------------------------
-
     st.subheader("Strategy")
 
     preset_label = st.radio(
@@ -282,6 +293,14 @@ if st.button("Handle Missing Values", type="primary", use_container_width=True):
     st.session_state["missing_result"] = result
     st.session_state["missing_input_name"] = uploaded.name
     st.session_state["missing_options"] = options.to_dict()
+    # 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["_missing_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("missing_result")
 if result is None:
@@ -292,6 +311,16 @@ 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="missing-results-anchor" style="height:1px"></div>',
+    unsafe_allow_html=True,
+)
+
 st.subheader("Results")
 
 m1, m2, m3, m4 = st.columns(4)
@@ -334,38 +363,85 @@ st.dataframe(result.handled_df.head(10), use_container_width=True)
 # ---------------------------------------------------------------------------
 # Downloads
 # ---------------------------------------------------------------------------
+#
+# All three byte buffers are prepared up front (outside the columns) so
+# each ``st.download_button`` sees stable ``data`` across reruns and an
+# explicit ``key`` — without those, Streamlit auto-derived widget IDs
+# can collide for multiple download_buttons in adjacent columns and
+# only the first one actually fires on click. The empty-changes case
+# now renders a disabled button (rather than vanishing) so the layout
+# stays steady and the user understands why nothing's available.
 
 st.divider()
 stem = Path(st.session_state.get("missing_input_name", "input")).stem
 
+handled_bytes = result.handled_df.to_csv(index=False).encode("utf-8-sig")
+changes_bytes = (
+    result.changes.to_csv(index=False).encode("utf-8-sig")
+    if not result.changes.empty
+    else b""
+)
+config_bytes = json.dumps(
+    st.session_state.get("missing_options", {}), indent=2, default=str,
+).encode("utf-8")
+
 dl_a, dl_b, dl_c = st.columns(3)
 with dl_a:
-    handled_bytes = result.handled_df.to_csv(index=False).encode("utf-8-sig")
     st.download_button(
         "Download handled CSV",
         data=handled_bytes,
         file_name=f"{stem}_missing.csv",
         mime="text/csv",
+        key="missing_dl_handled",
+        use_container_width=True,
     )
 with dl_b:
-    if not result.changes.empty:
-        changes_bytes = result.changes.to_csv(index=False).encode("utf-8-sig")
     st.download_button(
         "Download changes audit",
         data=changes_bytes,
         file_name=f"{stem}_missing_changes.csv",
         mime="text/csv",
+        key="missing_dl_changes",
+        disabled=result.changes.empty,
+        help="No changes to audit." if result.changes.empty else None,
+        use_container_width=True,
     )
 with dl_c:
-    config_bytes = json.dumps(
-        st.session_state.get("missing_options", {}), indent=2, default=str,
-    ).encode("utf-8")
     st.download_button(
         "Download config JSON",
         data=config_bytes,
         file_name="missing_config.json",
         mime="application/json",
+        key="missing_dl_config",
+        use_container_width=True,
     )
 
 st.divider()
 st.caption("Runs locally. Your data never leaves this computer. | DataTools v3.0")
+
+# ---------------------------------------------------------------------------
+# Post-run auto-scroll
+# ---------------------------------------------------------------------------
+#
+# When the user clicks Handle Missing Values, 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 don't yank the viewport
+# back to the top of Results.
+if st.session_state.pop("_missing_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('missing-results-anchor');
+          if (target) target.scrollIntoView({behavior: 'smooth', block: 'start'});
+        </script>
+        """,
+        height=0,
+    )

src/gui/pages/5_Column_Mapper.py

@@ -88,14 +88,30 @@ except Exception as e:
     )
     st.stop()
 
-st.subheader(f"Preview: {uploaded.name}")
+# Collapse the input preview once the user has clicked Apply Column
+# Mapping so the Results section below is the primary visual focus.
+# The user can re-expand the expander to re-inspect the source rows.
+_has_result = st.session_state.get("colmap_result") is not None
+
+with st.expander(f"Preview: {uploaded.name}", expanded=not _has_result):
     st.caption(f"{len(df)} rows, {len(df.columns)} columns")
     st.dataframe(df.head(10), use_container_width=True)
 st.divider()
 
 # ---------------------------------------------------------------------------
-# Schema input
+# Options (Target schema + Strategy + Mapping)
 # ---------------------------------------------------------------------------
+#
+# Wrapped in an outer expander whose default state mirrors the preview
+# expander above: open before a result exists, folded once the user has
+# clicked Apply Column Mapping. The Mapping editor is the heart of the
+# tool, but per the Text Cleaner pattern we still collapse everything
+# post-run — the user can re-expand to tweak any of the three sections.
+
+with st.expander("Options", expanded=not _has_result):
+    # -----------------------------------------------------------------------
+    # Schema input
+    # -----------------------------------------------------------------------
 
     st.subheader("Target schema")
 
@@ -196,9 +212,9 @@ elif schema_mode.startswith("Build"):
 
     st.divider()
 
-# ---------------------------------------------------------------------------
+    # -----------------------------------------------------------------------
     # Strategy
-# ---------------------------------------------------------------------------
+    # -----------------------------------------------------------------------
 
     st.subheader("Strategy")
 
@@ -240,9 +256,9 @@ with st.expander("Advanced options"):
                 "Enforce required fields", value=options.enforce_required,
             )
 
-# ---------------------------------------------------------------------------
+    # -----------------------------------------------------------------------
     # Mapping editor — show inferred and let user override
-# ---------------------------------------------------------------------------
+    # -----------------------------------------------------------------------
 
     st.subheader("Mapping")
 
@@ -324,6 +340,12 @@ if st.button("Apply Column Mapping", type="primary", use_container_width=True):
     st.session_state["colmap_result"] = result
     st.session_state["colmap_input_name"] = uploaded.name
     st.session_state["colmap_options"] = options.to_dict()
+    # 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["_colmap_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.
+    st.rerun()
 
 result = st.session_state.get("colmap_result")
 if result is None:
@@ -334,6 +356,16 @@ 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="colmap-results-anchor" style="height:1px"></div>',
+    unsafe_allow_html=True,
+)
+
 st.subheader("Results")
 
 m1, m2, m3, m4 = st.columns(4)
@@ -371,20 +403,17 @@ st.dataframe(result.mapped_df.head(10), use_container_width=True)
 # ---------------------------------------------------------------------------
 # Downloads
 # ---------------------------------------------------------------------------
+#
+# All three byte buffers are prepared up front (outside the columns) so
+# each ``st.download_button`` sees stable ``data`` across reruns and an
+# explicit ``key`` — without those, Streamlit auto-derived widget IDs
+# can collide for multiple download_buttons in adjacent columns and
+# only the first one actually fires on click.
 
 st.divider()
 stem = Path(st.session_state.get("colmap_input_name", "input")).stem
 
-dl_a, dl_b, dl_c = st.columns(3)
-with dl_a:
 mapped_bytes = result.mapped_df.to_csv(index=False).encode("utf-8-sig")
-    st.download_button(
-        "Download mapped CSV",
-        data=mapped_bytes,
-        file_name=f"{stem}_mapped.csv",
-        mime="text/csv",
-    )
-with dl_b:
 audit_bytes = json.dumps({
     "mapping": result.mapping,
     "inferred_pairs": result.inferred_pairs,
@@ -395,22 +424,69 @@ with dl_b:
     "unmapped_kept": result.unmapped_kept,
     "missing_required_targets": result.missing_required_targets,
 }, indent=2, default=str).encode("utf-8")
+config_bytes = json.dumps(
+    st.session_state.get("colmap_options", {}), indent=2, default=str,
+).encode("utf-8")
+
+_no_mapping = not result.mapping
+
+dl_a, dl_b, dl_c = st.columns(3)
+with dl_a:
+    st.download_button(
+        "Download mapped CSV",
+        data=mapped_bytes,
+        file_name=f"{stem}_mapped.csv",
+        mime="text/csv",
+        key="colmap_dl_mapped",
+        use_container_width=True,
+    )
+with dl_b:
     st.download_button(
         "Download mapping audit",
         data=audit_bytes,
         file_name=f"{stem}_mapping.json",
         mime="application/json",
+        key="colmap_dl_audit",
+        disabled=_no_mapping,
+        help="No mapping was applied." if _no_mapping else None,
+        use_container_width=True,
     )
 with dl_c:
-    config_bytes = json.dumps(
-        st.session_state.get("colmap_options", {}), indent=2, default=str,
-    ).encode("utf-8")
     st.download_button(
         "Download config JSON",
         data=config_bytes,
         file_name="column_map_config.json",
         mime="application/json",
+        key="colmap_dl_config",
+        use_container_width=True,
     )
 
 st.divider()
 st.caption("Runs locally. Your data never leaves this computer. | DataTools v3.0")
+
+# ---------------------------------------------------------------------------
+# Post-run auto-scroll
+# ---------------------------------------------------------------------------
+#
+# When the user clicks Apply Column Mapping, 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 don't yank the viewport back
+# to the top of Results.
+if st.session_state.pop("_colmap_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('colmap-results-anchor');
+          if (target) target.scrollIntoView({behavior: 'smooth', block: 'start'});
+        </script>
+        """,
+        height=0,
+    )

src/gui/pages/9_Pipeline_Runner.py

@@ -89,18 +89,28 @@ except Exception as e:
     )
     st.stop()
 
-st.subheader(f"Preview: {uploaded.name}")
+# Collapse the input preview and pipeline editor once the user has clicked
+# Run Pipeline so the Results section below is the primary visual focus.
+# The user can re-expand either expander to re-inspect or adjust.
+_has_result = st.session_state.get("pipeline_result") is not None
+
+with st.expander(f"Preview: {uploaded.name}", expanded=not _has_result):
     st.caption(f"{len(df)} rows, {len(df.columns)} columns")
     st.dataframe(df.head(10), use_container_width=True)
+
 st.divider()
 
 
 # ---------------------------------------------------------------------------
 # Pipeline builder
 # ---------------------------------------------------------------------------
+#
+# Wrapped in an outer expander whose default state mirrors the preview
+# expander above: open before a result exists, folded once the user has
+# clicked Run Pipeline. The pipeline editor is this page's "Options"
+# section — structurally analogous to Text Cleaner's options block.
 
-st.subheader("Pipeline")
+with st.expander("Options", expanded=not _has_result):
-
     mode = st.radio(
         "How would you like to define the pipeline?",
         [
@@ -274,6 +284,14 @@ if st.button(
     progress.progress(1.0, text="Done")
     st.session_state["pipeline_result"] = result
     st.session_state["pipeline_input_name"] = uploaded.name
+    # One-shot flag picked up on the next pass to scroll the parent
+    # document to the Results anchor (see scroll snippet at end of file).
+    st.session_state["_pipeline_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("pipeline_result")
 if result is None:
@@ -287,6 +305,16 @@ 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="pipeline-results-anchor" style="height:1px"></div>',
+    unsafe_allow_html=True,
+)
+
 st.subheader("Results")
 
 m1, m2, m3, m4 = st.columns(4)
@@ -318,32 +346,23 @@ st.dataframe(result.final_df.head(10), use_container_width=True)
 # ---------------------------------------------------------------------------
 # Downloads
 # ---------------------------------------------------------------------------
+#
+# All three byte buffers are prepared up front (outside the columns) so
+# each ``st.download_button`` sees stable ``data`` across reruns and an
+# explicit ``key`` — without those, Streamlit auto-derived widget IDs
+# can collide for multiple download_buttons in adjacent columns and
+# only the first one actually fires on click. The pipeline-JSON button
+# now renders unconditionally (disabled when no pipeline is defined)
+# so the layout stays steady.
 
 st.divider()
 stem = Path(st.session_state.get("pipeline_input_name", "input")).stem
 
-dl_a, dl_b, dl_c = st.columns(3)
+cleaned_bytes = result.final_df.to_csv(index=False).encode("utf-8-sig")
-with dl_a:
-    bytes_csv = result.final_df.to_csv(index=False).encode("utf-8-sig")
-    st.download_button(
-        "Download cleaned CSV",
-        data=bytes_csv,
-        file_name=f"{stem}_pipeline.csv",
-        mime="text/csv",
-    )
-with dl_b:
 pipeline_bytes = json.dumps(
     current_pipeline.to_dict() if current_pipeline else {"steps": []},
     indent=2, default=str,
 ).encode("utf-8")
-    st.download_button(
-        "Download pipeline JSON",
-        data=pipeline_bytes,
-        file_name="pipeline.json",
-        mime="application/json",
-        help="Save this and pass --pipeline pipeline.json to the CLI to re-run on next week's file.",
-    )
-with dl_c:
 audit_bytes = json.dumps({
     "warnings": result.warnings,
     "initial_rows": result.initial_rows,
@@ -362,12 +381,70 @@ with dl_c:
         for sr in result.step_results
     ],
 }, indent=2, default=str).encode("utf-8")
+
+_pipeline_empty = current_pipeline is None or not current_pipeline.steps
+
+dl_a, dl_b, dl_c = st.columns(3)
+with dl_a:
+    st.download_button(
+        "Download cleaned CSV",
+        data=cleaned_bytes,
+        file_name=f"{stem}_pipeline.csv",
+        mime="text/csv",
+        key="pipeline_dl_cleaned",
+        use_container_width=True,
+    )
+with dl_b:
+    st.download_button(
+        "Download pipeline JSON",
+        data=pipeline_bytes,
+        file_name="pipeline.json",
+        mime="application/json",
+        key="pipeline_dl_pipeline",
+        disabled=_pipeline_empty,
+        help=(
+            "No pipeline defined."
+            if _pipeline_empty
+            else "Save this and pass --pipeline pipeline.json to the CLI to re-run on next week's file."
+        ),
+        use_container_width=True,
+    )
+with dl_c:
     st.download_button(
         "Download run audit",
         data=audit_bytes,
         file_name=f"{stem}_pipeline_audit.json",
         mime="application/json",
+        key="pipeline_dl_audit",
+        use_container_width=True,
     )
 
 st.divider()
 st.caption("Runs locally. Your data never leaves this computer. | DataTools v3.0")
+
+# ---------------------------------------------------------------------------
+# Post-run auto-scroll
+# ---------------------------------------------------------------------------
+#
+# When the user clicks Run Pipeline, 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 don't yank the viewport
+# back to the top of Results.
+if st.session_state.pop("_pipeline_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('pipeline-results-anchor');
+          if (target) target.scrollIntoView({behavior: 'smooth', block: 'start'});
+        </script>
+        """,
+        height=0,
+    )