feat(places): London localities and postcode districts

The GIAS town field puts 1,819 London schools under the single value
'London', so it cannot answer 'schools in Battersea' — a query that appears in
the baseline. No single field can: parliamentary constituency gives Battersea
but not Canary Wharf, admin_ward gives Canary Wharf but not Battersea, and
neither gives Clapham or Shoreditch. So a locality is curated, defined by the
postcode districts it covers, which needs no new ingestion.

A locality may not shadow a published town: the registry raises rather than
silently costing a page that carries real demand. One below the threshold is
logged rather than raising, because a locality can legitimately be too small.

The pipeline seed mirrors the module, with a test guarding the drift — the
same arrangement gias_codes has, and for the same reason: the backend image
does not contain pipeline/.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015mWQnpye9F299NVRCCSRvj

backend/localities.py

@@ -0,0 +1,47 @@
+"""Curated London localities, defined by the postcode districts they cover.
+
+The GIAS `town` field puts 1,819 London schools under the single value
+"London", so it cannot answer "schools in Battersea" — a query that appears in
+the Search Console baseline. No single field can: parliamentary constituency
+gives Battersea but not Canary Wharf; postcodes.io's admin_ward gives Canary
+Wharf but not Battersea; neither gives Clapham or Shoreditch, which are postal
+and colloquial rather than administrative.
+
+So this is curated. Where a locality ends is a judgement, not a fact, and a
+reviewable file is the honest place for a judgement. No new ingestion is
+needed — the corpus already carries postcodes.
+
+This is the canonical copy. `pipeline/transform/seeds/locality_outcodes.csv`
+mirrors it for anyone querying the warehouse directly; the backend image does
+not contain `pipeline/`, which is why the module rather than the seed is
+canonical. Same arrangement as `backend/gias_codes.py`.
+
+A locality whose outcodes hold fewer than MIN_SCHOOLS schools is not
+published, so a typo produces no page rather than an empty one. Places that
+fail that check are logged at startup, because a locality you meant to publish
+quietly not appearing is the failure worth hearing about.
+"""
+
+# slug -> (display name, outcodes)
+LOCALITY_OUTCODES: dict[str, tuple[str, tuple[str, ...]]] = {
+    "battersea":     ("Battersea",     ("SW11",)),
+    "canary-wharf":  ("Canary Wharf",  ("E14",)),
+    "clapham":       ("Clapham",       ("SW4",)),
+    "shoreditch":    ("Shoreditch",    ("EC2A", "E1")),
+    "peckham":       ("Peckham",       ("SE15",)),
+    "brixton":       ("Brixton",       ("SW2", "SW9")),
+    "hackney":       ("Hackney",       ("E5", "E8", "E9")),
+    "islington":     ("Islington",     ("N1", "N5", "N7")),
+    "camden-town":   ("Camden Town",   ("NW1",)),
+    "greenwich":     ("Greenwich",     ("SE10",)),
+    "wimbledon":     ("Wimbledon",     ("SW19",)),
+    "putney":        ("Putney",        ("SW15",)),
+    "fulham":        ("Fulham",        ("SW6",)),
+    "chiswick":      ("Chiswick",      ("W4",)),
+    "ealing":        ("Ealing",        ("W5", "W13")),
+    "richmond":      ("Richmond",      ("TW9", "TW10")),
+    "stratford":     ("Stratford",     ("E15",)),
+    "walthamstow":   ("Walthamstow",   ("E17",)),
+    "tooting":       ("Tooting",       ("SW17",)),
+    "dulwich":       ("Dulwich",       ("SE21", "SE22")),
+}

backend/places.py

@@ -12,8 +12,12 @@ Keys are "<kind>:<slug>" so the collision cannot reappear in the dict.
 
 from __future__ import annotations
 
+import logging
+import re
 from dataclasses import dataclass
 
+logger = logging.getLogger(__name__)
+
 # Five schools with publishable data. Below this a place has nothing to say
 # that a list of schools does not, and publishing it is index bloat.
 MIN_SCHOOLS = 5
@@ -80,6 +84,71 @@ def _group(df, column: str, kind: str, publishable: set[int]) -> dict[str, Place
     return out
 
 
+# "SW11 2AA" -> "SW11". Two letters max, one or two digits, optional letter.
+_OUTCODE_RE = re.compile(r"^([A-Z]{1,2}\d{1,2}[A-Z]?)\s")
+
+
+def _outcode(postcode) -> str | None:
+    if not isinstance(postcode, str):
+        return None
+    m = _OUTCODE_RE.match(postcode.upper().strip())
+    return m.group(1) if m else None
+
+
+def _outcode_places(df, publishable: set[int]) -> dict[str, Place]:
+    """One Place per postcode district clearing the threshold.
+
+    These carry no phase variants: nobody searches "primary schools in SW11".
+    """
+    if "postcode" not in df.columns:
+        return {}
+    working = df.assign(_oc=df["postcode"].map(_outcode))
+    working = working[working["_oc"].notna()]
+
+    out: dict[str, Place] = {}
+    for oc, group in working.groupby("_oc"):
+        urns = tuple(sorted({int(u) for u in group["urn"]} & publishable))
+        if len(urns) < MIN_SCHOOLS:
+            continue
+        place = Place(kind="outcode", slug=str(oc).lower(), name=str(oc),
+                      urns=urns, parent_authority=_parent_authority(group))
+        out[place.key] = place
+    return out
+
+
+def _locality_places(df, publishable: set[int],
+                     town_slugs: set[str]) -> dict[str, Place]:
+    """One Place per curated locality clearing the threshold."""
+    from backend.localities import LOCALITY_OUTCODES
+
+    if "postcode" not in df.columns:
+        return {}
+    working = df.assign(_oc=df["postcode"].map(_outcode))
+
+    out: dict[str, Place] = {}
+    for slug, (name, outcodes) in LOCALITY_OUTCODES.items():
+        if slug in town_slugs:
+            raise ValueError(
+                f"locality {slug!r} collides with a published town of the same "
+                "slug; publishing both would shadow the town silently"
+            )
+        group = working[working["_oc"].isin(outcodes)]
+        urns = tuple(sorted({int(u) for u in group["urn"]} & publishable))
+        if len(urns) < MIN_SCHOOLS:
+            # Not an error — a locality can legitimately be too small. Logged
+            # because one you meant to publish quietly vanishing is the
+            # failure worth hearing about.
+            logger.warning(
+                "locality %s (%s) has %d publishable schools, below the "
+                "threshold of %d - not published",
+                slug, ", ".join(outcodes), len(urns), MIN_SCHOOLS)
+            continue
+        place = Place(kind="locality", slug=slug, name=name, urns=urns,
+                      parent_authority=_parent_authority(group))
+        out[place.key] = place
+    return out
+
+
 def build_place_registry(df) -> dict[str, Place]:
     """Every place the site publishes, keyed by "<kind>:<slug>"."""
     if df.empty or "urn" not in df.columns:
@@ -88,5 +157,11 @@ def build_place_registry(df) -> dict[str, Place]:
     publishable = _publishable_urns(df)
     registry: dict[str, Place] = {}
     registry.update(_group(df, "local_authority", "authority", publishable))
-    registry.update(_group(df, "town", "town", publishable))
+
+    towns = _group(df, "town", "town", publishable)
+    registry.update(towns)
+
+    town_slugs = {p.slug for p in towns.values()}
+    registry.update(_locality_places(df, publishable, town_slugs))
+    registry.update(_outcode_places(df, publishable))
     return registry

backend/tests/test_places.py

@@ -84,3 +84,93 @@ def test_a_school_is_counted_once_even_with_several_years_of_rows():
         rows += [{**r, "year": year} for r in _town(MIN_SCHOOLS, "Beccles", "Suffolk")]
     reg = build_place_registry(_df(rows))
     assert len(reg["town:beccles"].urns) == MIN_SCHOOLS
+
+
+def test_locality_groups_schools_by_outcode(monkeypatch):
+    # The GIAS town field collapses 1,819 London schools into "London", so a
+    # locality is defined by its postcode districts instead.
+    from backend import localities
+    monkeypatch.setattr(localities, "LOCALITY_OUTCODES",
+                        {"battersea": ("Battersea", ("SW11",))})
+    rows = _town(MIN_SCHOOLS, "London", "Wandsworth")
+    for r in rows:
+        r["postcode"] = "SW11 2AA"
+    reg = build_place_registry(_df(rows))
+    assert reg["locality:battersea"].name == "Battersea"
+    assert len(reg["locality:battersea"].urns) == MIN_SCHOOLS
+
+
+def test_locality_below_the_threshold_is_not_published(monkeypatch):
+    from backend import localities
+    monkeypatch.setattr(localities, "LOCALITY_OUTCODES",
+                        {"nowhere": ("Nowhere", ("ZZ99",))})
+    reg = build_place_registry(_df(_town(MIN_SCHOOLS, "London", "Wandsworth")))
+    assert "locality:nowhere" not in reg
+
+
+def test_a_locality_may_not_shadow_a_viable_town(monkeypatch):
+    # Silently shadowing a town would lose a page carrying real demand.
+    from backend import localities
+    monkeypatch.setattr(localities, "LOCALITY_OUTCODES",
+                        {"brentwood": ("Brentwood", ("CM13",))})
+    rows = _town(MIN_SCHOOLS, "Brentwood", "Essex")
+    for r in rows:
+        r["postcode"] = "CM13 1AA"
+    with pytest.raises(ValueError, match="brentwood"):
+        build_place_registry(_df(rows))
+
+
+def test_outcode_places_are_built_from_postcodes():
+    rows = _town(MIN_SCHOOLS, "Brentwood", "Essex")
+    for r in rows:
+        r["postcode"] = "CM13 1AA"
+    reg = build_place_registry(_df(rows))
+    assert reg["outcode:cm13"].name == "CM13"
+    assert len(reg["outcode:cm13"].urns) == MIN_SCHOOLS
+
+
+def test_malformed_postcodes_do_not_create_places():
+    rows = _town(MIN_SCHOOLS, "Brentwood", "Essex")
+    for r in rows:
+        r["postcode"] = "not a postcode"
+    reg = build_place_registry(_df(rows))
+    assert not any(k.startswith("outcode:") for k in reg)
+
+
+def test_every_curated_locality_is_structurally_valid():
+    # Guards the hand-maintained file: real slug, real name, real outcodes.
+    import re
+    from backend.localities import LOCALITY_OUTCODES
+
+    assert LOCALITY_OUTCODES, "the curated locality list must not be empty"
+    for slug, (name, outcodes) in LOCALITY_OUTCODES.items():
+        assert re.fullmatch(r"[a-z0-9-]+", slug), slug
+        assert name.strip() == name and name, slug
+        assert outcodes, f"{slug} has no outcodes"
+        for oc in outcodes:
+            assert re.fullmatch(r"[A-Z]{1,2}\d{1,2}[A-Z]?", oc), (slug, oc)
+
+
+def test_the_pipeline_seed_mirrors_the_canonical_module():
+    """Two copies with no drift guard is worse than one copy.
+
+    backend/localities.py is canonical because the backend image does not
+    contain pipeline/. The seed exists so the warehouse can join on the same
+    definitions, and this is what stops the two diverging — the same
+    arrangement assert_gias_code_names_match_seed.sql gives gias_codes.
+    """
+    import csv
+    from pathlib import Path
+
+    from backend.localities import LOCALITY_OUTCODES
+
+    seed_path = (Path(__file__).resolve().parents[2]
+                 / "pipeline/transform/seeds/locality_outcodes.csv")
+    assert seed_path.exists(), f"missing seed mirror at {seed_path}"
+
+    seed = {
+        row["locality_slug"]: (row["locality_name"],
+                               tuple(row["outcodes"].split("|")))
+        for row in csv.DictReader(seed_path.open())
+    }
+    assert seed == LOCALITY_OUTCODES

pipeline/transform/seeds/locality_outcodes.csv

@@ -0,0 +1,21 @@
+locality_slug,locality_name,outcodes,region
+battersea,Battersea,SW11,London
+canary-wharf,Canary Wharf,E14,London
+clapham,Clapham,SW4,London
+shoreditch,Shoreditch,EC2A|E1,London
+peckham,Peckham,SE15,London
+brixton,Brixton,SW2|SW9,London
+hackney,Hackney,E5|E8|E9,London
+islington,Islington,N1|N5|N7,London
+camden-town,Camden Town,NW1,London
+greenwich,Greenwich,SE10,London
+wimbledon,Wimbledon,SW19,London
+putney,Putney,SW15,London
+fulham,Fulham,SW6,London
+chiswick,Chiswick,W4,London
+ealing,Ealing,W5|W13,London
+richmond,Richmond,TW9|TW10,London
+stratford,Stratford,E15,London
+walthamstow,Walthamstow,E17,London
+tooting,Tooting,SW17,London
+dulwich,Dulwich,SE21|SE22,London