feat(detail): surface GIAS identity/contact details, drop unwired sections

Add seven school-identity fields to the detail header (both primary and
secondary views): age range, religious character, nursery and sixth-form
indicators as chips; telephone (tel: link), county and parliamentary
constituency as header details. religious_denomination, age_range and
has_sixth_form were already served; telephone, nursery_provision, county
and parliamentary_constituency are newly wired through the marts query
(with a NULL fallback for un-rebuilt marts, mirroring has_sixth_form) and
the school_info API response.

Remove three UI sections the backend never populated (always null): Year 1
Phonics, the SEN "types of additional needs" breakdown, and the average
class-size card — along with their now-dead props, route plumbing, and the
SenDetail/Phonics types + class_size_avg field.

Extend the e2e detail journey to assert the Phonics section is gone and the
new header fields render when the record carries them.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

backend/data_loader.py

@@ -169,6 +169,8 @@ _MAIN_QUERY = text("""
         s.total_pupils         AS gias_total_pupils,
         s.headteacher_name,
         s.website,
+        s.telephone,
+        s.nursery_provision,
         foi.ofsted_grade,
         foi.ofsted_date,
         foi.ofsted_framework,
@@ -178,6 +180,8 @@ _MAIN_QUERY = text("""
         l.address_line1        AS address1,
         l.address_line2        AS address2,
         l.town,
+        l.county,
+        l.parliamentary_constituency,
         l.postcode,
         l.latitude,
         l.longitude,
@@ -301,6 +305,32 @@ for _old, _new in _LEGACY_NAME_REPLACEMENTS:
     _MAIN_QUERY_LEGACY_NAMES = _MAIN_QUERY_LEGACY_NAMES.replace(_old, _new)
 _MAIN_QUERY_LEGACY_NAMES = text(_MAIN_QUERY_LEGACY_NAMES)
 
+# Fallback used when marts predate the optional GIAS/location detail columns
+# (telephone, nursery provision, county, parliamentary constituency) — i.e. the
+# nightly dbt pipeline hasn't rebuilt the mart yet on this DB. Keeps each column
+# present as NULL so the whole data load degrades gracefully instead of failing.
+_EXTRA_OPTIONAL_COLUMNS = (
+    "telephone",
+    "nursery_provision",
+    "county",
+    "parliamentary_constituency",
+)
+_MAIN_QUERY_NO_EXTRA_COLS = str(_MAIN_QUERY)
+for _col, _tbl in (
+    ("telephone", "s"),
+    ("nursery_provision", "s"),
+    ("county", "l"),
+    ("parliamentary_constituency", "l"),
+):
+    _src = f"{_tbl}.{_col},"
+    assert _src in _MAIN_QUERY_NO_EXTRA_COLS, (
+        f"expected {_src!r} to be present in _MAIN_QUERY before replacement"
+    )
+    _MAIN_QUERY_NO_EXTRA_COLS = _MAIN_QUERY_NO_EXTRA_COLS.replace(
+        _src, f"NULL AS {_col},"
+    )
+_MAIN_QUERY_NO_EXTRA_COLS = text(_MAIN_QUERY_NO_EXTRA_COLS)
+
 _GIAS_CODE_COLUMN_NAMES = (
     "phase_code",
     "school_type_code",
@@ -352,6 +382,18 @@ def load_school_data_as_dataframe() -> pd.DataFrame:
             except Exception as exc2:
                 print(f"Warning: Could not load school data from marts: {exc2}")
                 return pd.DataFrame()
+        elif missing in _EXTRA_OPTIONAL_COLUMNS:
+            logging.getLogger(__name__).warning(
+                "marts.dim_school/dim_location is missing %s (pipeline hasn't "
+                "rebuilt the mart yet on this DB) — retrying without the "
+                "optional detail columns: %s",
+                missing, exc,
+            )
+            try:
+                df = pd.read_sql(_MAIN_QUERY_NO_EXTRA_COLS, engine)
+            except Exception as exc2:
+                print(f"Warning: Could not load school data from marts: {exc2}")
+                return pd.DataFrame()
         else:
             print(f"Warning: Could not load school data from marts: {exc}")
             return pd.DataFrame()