school_compare/docs/superpowers/plans/2026-09-21-similar-schools-nearby.md

Similar Schools Nearby Implementation Plan

For agentic workers: REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (- [ ]) syntax for tracking.

Goal: Add a "Similar schools nearby" section to the school detail page, showing up to three crawlable links to nearby schools of the same phase and a comparable intake, each addable to the comparison basket.

Architecture: A pure backend function ranks candidates out of the cached latest-year DataFrame using hard filters (never relaxed) and tiered soft preferences, and its result rides in the existing /api/schools/{urn} payload. The frontend renders it as a server component inside SchoolDetailShell, with a single client island for the add-to-compare button.

Tech Stack: FastAPI + pandas/numpy (backend), Next.js App Router + React server components + CSS modules (frontend), pytest, Jest + Testing Library, Playwright.

Spec: docs/superpowers/specs/2026-09-21-similar-schools-nearby-design.md

Global Constraints

• Branch: feat/similar-schools-nearby, already created from origin/main. Never push to main; open a PR. Do not trigger the production promotion workflow.
• Do not start a local server to check the application. Use the unit tests in this plan.
• Target 3 cards, minimum 2. Fewer than 2 qualifying schools renders no section and no nav item.
• Tier radii, in miles: tier 1 = 3.0, tier 2 = 5.0, tier 3 = 10.0.
• Hard filters never relax: self, non-open status, missing coordinates, different phase group, special↔mainstream, selective↔non-selective, Boys↔Girls.
• Every new .module.css must use tokens only. No hex values, no rgb(), no named colours. __tests__/components/darkThemeSafety.test.ts scans every stylesheet under components/ and fails on hardcoded colour.
• Exact GIAS display strings (from backend/gias_codes.py): admissions_policy is one of "Not applicable", "Selective", "Non-selective", ""; religious_denomination includes "Does not apply", "None", "Church of England", "Roman Catholic" and others; gender is "Mixed", "Boys" or "Girls".
• Copy rule: the lede says "with a similar intake" only when no card is tier 3. A missing metric renders the exact string Not published.
• No "how these schools are chosen" disclosure. One caption line only: distances are straight-line, not road distance.
• Three cards maximum, with no overflow affordance. Surplus qualifying schools are dropped silently; NearbyPlaces below already leads to the full lists.
• The neighbour's metric never carries a valence colour. No --status-above / --status-below anywhere in this feature.
• Backend tests:

  python3.11 -m venv /tmp/schoolcompare-backend-venv
  /tmp/schoolcompare-backend-venv/bin/python -m pip install -r requirements.txt pytest 'httpx<0.28' pyyaml
  /tmp/schoolcompare-backend-venv/bin/python -m pytest backend/tests -q
  

• Frontend tests: from nextjs-app/, npm test -- --runInBand and npm run typecheck. There is no npm run lint.

File Structure

File	Responsibility
backend/similar_schools.py (new)	Pure selection logic: hard filters, tiers, chips. No I/O, no FastAPI.
backend/app.py (modify)	Thin _similar_schools_payload(urn) wrapper + one key on the detail response.
backend/tests/test_similar_schools.py (new)	Unit tests for the pure module and one payload integration test.
nextjs-app/lib/types.ts (modify)	SimilarSchool type + optional key on the detail response type.
nextjs-app/components/school/SimilarSchoolsSection.tsx (new)	Server component: gates, lede, disclosure, cards, CTA.
nextjs-app/components/school/SimilarSchools.module.css (new)	Section styles, tokens only.
nextjs-app/components/school/AddToCompareButton.tsx (new)	Client island: the per-card basket toggle.
nextjs-app/components/school/SimilarSchoolsCompareBar.tsx (new)	Client island: the selection count and the CTA into /compare.
nextjs-app/lib/schoolSections.ts (modify)	similar nav item in both builders.
nextjs-app/components/school/PrimarySchoolSections.tsx (modify)	Render the section last.
nextjs-app/components/school/SecondarySchoolSections.tsx (modify)	Render the section last.
nextjs-app/app/(frontend)/school/[slug]/page.tsx (modify)	Pass similar_schools through.
nextjs-app/__tests__/components/SimilarSchoolsSection.test.tsx (new)	Render gates, lede wording, chips, "Not published".
e2e/tests/journeys.spec.ts (modify)	Journey covering the section and the compare hand-off.

Two client islands rather than one, because they need different things: the button needs a single school, the bar needs the whole selection. Keeping them apart means a card never re-renders when the count changes.

The selection logic lives in its own module rather than in app.py because app.py is already ~1700 lines, and because a pure function over a DataFrame is testable without a TestClient, a database or a monkeypatch.

---

Task 1: Selection logic

Files:

• Create: backend/similar_schools.py
• Test: backend/tests/test_similar_schools.py

Interfaces:

• Consumes: nothing from earlier tasks.

• Produces: select_similar(frame: pd.DataFrame, urn: int, is_secondary: bool) -> list[dict]. Each dict has keys urn (int), school_name (str), distance_miles (float), school_type (str | None), age_range (str | None), shared (list[str]), tier (int), metric_value (float | None), metric_key (str), metric_year (int | None). Returns [] when fewer than 2 qualify.

• Step 1: Write the failing test

Create backend/tests/test_similar_schools.py:

"""Selection rules for the "similar schools nearby" section.

The hard filters encode claims the section is not allowed to make — that a
selective school is an alternative to a non-selective one, that a special
school is comparable to a mainstream one, or that a Girls school is an option
for a Boys school's reader. They never relax. The soft preferences describe
how close the intake is, and they do.
"""

import numpy as np
import pandas as pd

from backend.similar_schools import select_similar

# Roughly 0.7 miles apart in latitude at this longitude.
BASE_LAT, BASE_LON = 51.5000, -0.1000


def _row(urn, name, **overrides):
    base = {
        "urn": urn,
        "school_name": name,
        "local_authority": "Testshire",
        "school_type": "Community school",
        "phase": "Primary",
        "age_range": "4-11",
        "status": "Open",
        "gender": "Mixed",
        "religious_denomination": "None",
        "admissions_policy": "Not applicable",
        "latitude": BASE_LAT,
        "longitude": BASE_LON,
        "year": 202425,
        "rwm_expected_pct": 70.0,
        "attainment_8_score": np.nan,
    }
    base.update(overrides)
    return base


def _frame(*rows):
    return pd.DataFrame(list(rows))


def _at(miles):
    """A latitude `miles` north of BASE_LAT."""
    return BASE_LAT + miles / 69.0


def test_returns_nearest_same_phase_schools():
    frame = _frame(
        _row(100001, "Subject"),
        _row(100002, "Near", latitude=_at(0.5)),
        _row(100003, "Mid", latitude=_at(1.0)),
        _row(100004, "Far", latitude=_at(2.0)),
    )
    result = select_similar(frame, 100001, is_secondary=False)
    assert [s["urn"] for s in result] == [100002, 100003, 100004]
    assert result[0]["distance_miles"] == 0.5


def test_excludes_the_subject_school():
    frame = _frame(
        _row(100001, "Subject"),
        _row(100002, "A", latitude=_at(0.5)),
        _row(100003, "B", latitude=_at(0.6)),
    )
    assert 100001 not in {s["urn"] for s in select_similar(frame, 100001, is_secondary=False)}


def test_selective_never_meets_non_selective():
    frame = _frame(
        _row(100001, "Grammar", phase="Secondary", admissions_policy="Selective"),
        _row(100002, "Comp A", phase="Secondary", admissions_policy="Non-selective", latitude=_at(0.5)),
        _row(100003, "Comp B", phase="Secondary", admissions_policy="Non-selective", latitude=_at(0.6)),
    )
    assert select_similar(frame, 100001, is_secondary=True) == []

    reverse = select_similar(frame, 100002, is_secondary=True)
    assert 100001 not in {s["urn"] for s in reverse}


def test_special_schools_match_only_each_other():
    frame = _frame(
        _row(100001, "Special", school_type="Community special school"),
        _row(100002, "Mainstream A", latitude=_at(0.5)),
        _row(100003, "Mainstream B", latitude=_at(0.6)),
    )
    assert select_similar(frame, 100001, is_secondary=False) == []
    assert select_similar(frame, 100002, is_secondary=False) == []


def test_boys_never_meets_girls():
    frame = _frame(
        _row(100001, "Boys School", gender="Boys"),
        _row(100002, "Girls School", gender="Girls", latitude=_at(0.5)),
        _row(100003, "Mixed School", gender="Mixed", latitude=_at(0.6)),
        _row(100004, "Another Mixed", gender="Mixed", latitude=_at(0.7)),
    )
    urns = {s["urn"] for s in select_similar(frame, 100001, is_secondary=False)}
    assert 100002 not in urns
    assert urns == {100003, 100004}


def test_closed_schools_and_missing_coordinates_are_dropped():
    frame = _frame(
        _row(100001, "Subject"),
        _row(100002, "Closed", status="Closed", latitude=_at(0.5)),
        _row(100003, "No coords", latitude=np.nan, longitude=np.nan),
        _row(100004, "Good A", latitude=_at(0.6)),
        _row(100005, "Good B", latitude=_at(0.7)),
    )
    assert {s["urn"] for s in select_similar(frame, 100001, is_secondary=False)} == {100004, 100005}


def test_tiers_relax_faith_before_gender():
    frame = _frame(
        _row(100001, "Subject", gender="Boys", religious_denomination="Roman Catholic"),
        # Tier 1: same gender and same faith.
        _row(100002, "Tier one", gender="Boys", religious_denomination="Roman Catholic", latitude=_at(2.0)),
        # Tier 2: same gender, different faith — closer, but a weaker match.
        _row(100003, "Tier two", gender="Boys", religious_denomination="None", latitude=_at(0.5)),
        # Tier 3: mixed gender, different faith.
        _row(100004, "Tier three", gender="Mixed", religious_denomination="None", latitude=_at(0.6)),
    )
    result = select_similar(frame, 100001, is_secondary=False)
    tier_by_urn = {s["urn"]: s["tier"] for s in result}
    assert tier_by_urn == {100002: 1, 100003: 2, 100004: 3}
    # Selected by tier, displayed by distance.
    assert [s["urn"] for s in result] == [100003, 100004, 100002]


def test_a_school_is_never_taken_twice():
    frame = _frame(
        _row(100001, "Subject"),
        _row(100002, "A", latitude=_at(0.5)),
        _row(100003, "B", latitude=_at(0.6)),
    )
    result = select_similar(frame, 100001, is_secondary=False)
    assert len(result) == len({s["urn"] for s in result})


def test_fewer_than_two_matches_returns_empty():
    frame = _frame(
        _row(100001, "Subject"),
        _row(100002, "Only neighbour", latitude=_at(0.5)),
    )
    assert select_similar(frame, 100001, is_secondary=False) == []


def test_beyond_the_widest_radius_is_not_offered():
    frame = _frame(
        _row(100001, "Subject"),
        _row(100002, "A", latitude=_at(11.0)),
        _row(100003, "B", latitude=_at(12.0)),
    )
    assert select_similar(frame, 100001, is_secondary=False) == []


def test_all_through_is_offered_on_both_phase_sides():
    frame = _frame(
        _row(100001, "Primary subject", phase="Primary"),
        _row(100002, "All through", phase="All-through", latitude=_at(0.5)),
        _row(100003, "Primary peer", phase="Primary", latitude=_at(0.6)),
    )
    assert 100002 in {s["urn"] for s in select_similar(frame, 100001, is_secondary=False)}

    secondary = _frame(
        _row(100010, "Secondary subject", phase="Secondary"),
        _row(100002, "All through", phase="All-through", latitude=_at(0.5)),
        _row(100011, "Secondary peer", phase="Secondary", latitude=_at(0.6)),
    )
    assert 100002 in {s["urn"] for s in select_similar(secondary, 100010, is_secondary=True)}


def test_chips_state_only_what_the_tier_earned():
    frame = _frame(
        _row(100001, "Subject", phase="Secondary", gender="Mixed",
             religious_denomination="None", admissions_policy="Non-selective"),
        _row(100002, "Full match", phase="Secondary", gender="Mixed",
             religious_denomination="None", admissions_policy="Non-selective", latitude=_at(0.5)),
        _row(100003, "Faith differs", phase="Secondary", gender="Mixed",
             religious_denomination="Church of England", admissions_policy="Non-selective", latitude=_at(0.6)),
    )
    by_urn = {s["urn"]: s for s in select_similar(frame, 100001, is_secondary=True)}
    assert by_urn[100002]["shared"] == ["Mixed", "Non-selective", "No religious character"]
    assert by_urn[100003]["shared"] == ["Mixed", "Non-selective"]


def test_tier_three_chip_is_the_plain_phase():
    frame = _frame(
        _row(100001, "Subject", gender="Boys"),
        _row(100002, "A", gender="Mixed", latitude=_at(0.5)),
        _row(100003, "B", gender="Mixed", latitude=_at(0.6)),
    )
    result = select_similar(frame, 100001, is_secondary=False)
    assert all(s["shared"] == ["Primary school"] for s in result)


def test_metric_follows_the_template_not_the_neighbour():
    frame = _frame(
        _row(100001, "Subject", phase="Secondary", attainment_8_score=50.0),
        _row(100002, "A", phase="Secondary", attainment_8_score=52.8, latitude=_at(0.5)),
        _row(100003, "B", phase="Secondary", attainment_8_score=np.nan, latitude=_at(0.6)),
    )
    by_urn = {s["urn"]: s for s in select_similar(frame, 100001, is_secondary=True)}
    assert by_urn[100002]["metric_key"] == "attainment_8_score"
    assert by_urn[100002]["metric_value"] == 52.8
    assert by_urn[100002]["metric_year"] == 202425
    assert by_urn[100003]["metric_value"] is None


def test_values_are_json_safe_native_types():
    frame = _frame(
        _row(100001, "Subject"),
        _row(100002, "A", latitude=_at(0.5)),
        _row(100003, "B", latitude=_at(0.6)),
    )
    for school in select_similar(frame, 100001, is_secondary=False):
        assert isinstance(school["urn"], int)
        assert isinstance(school["distance_miles"], float)
        assert not isinstance(school["metric_value"], np.generic)

• Step 2: Run the tests to verify they fail

Run:

/tmp/schoolcompare-backend-venv/bin/python -m pytest backend/tests/test_similar_schools.py -q

Expected: collection error, ModuleNotFoundError: No module named 'backend.similar_schools'.

• Step 3: Move PHASE_GROUPS out of app.py first

PHASE_GROUPS lives in backend/app.py:51-55, and importing app from similar_schools while app imports similar_schools is a cycle. Move the constant to backend/schemas.py, which app.py already imports and which holds the other shared column and display constants.

In backend/schemas.py, add near SCHOOL_COLUMNS:

# Phase groups for search, place pages and similar-school matching. All-through
# schools belong to both sides, which is why this is a set per phase rather
# than a single phase string comparison.
PHASE_GROUPS: dict[str, set[str]] = {
    "primary": {"primary", "middle deemed primary", "all-through"},
    "secondary": {"secondary", "middle deemed secondary", "all-through", "16 plus"},
    "all-through": {"all-through"},
}

In backend/app.py, delete the PHASE_GROUPS definition at lines 51-55 and add PHASE_GROUPS to the existing from .schemas import (...) list. Leave the call sites at app.py:762 and app.py:1402 untouched — the name resolves the same.

• Step 4: Write the implementation

Create backend/similar_schools.py:

"""Which nearby schools a detail page may offer as alternatives.

Two kinds of rule, and they are not interchangeable.

HARD FILTERS encode claims the section is not allowed to make. A selective
school is not an alternative to a non-selective one, a special school is not
comparable to a mainstream one, and a Girls school is not an option for a Boys
school's reader. These never relax, at any distance, even where that means the
section does not render at all.

SOFT PREFERENCES describe how closely an intake resembles this school's. They
relax in tiers, and every card reports the tier that actually took it so the
page can say what is shared rather than implying more.

Pure functions over a DataFrame: no I/O, no FastAPI, no database.
"""

from __future__ import annotations

import re

import numpy as np
import pandas as pd

from .schemas import PHASE_GROUPS

TARGET = 3
MINIMUM = 2

# (tier, radius in miles). Faith relaxes before gender: a faith mismatch
# changes the character of a school, while a gender mismatch can mean the
# school is not available to this reader's child at all.
TIERS: tuple[tuple[int, float], ...] = ((1, 3.0), (2, 5.0), (3, 10.0))

EARTH_RADIUS_MILES = 3958.8

_SPECIAL = re.compile(r"\bspecial\b|pupil referral|alternative provision", re.I)

# Values that mean "this school has no religious character".
_NO_FAITH = {"", "none", "does not apply", "not applicable"}


def is_special_provision(school_type: str | None) -> bool:
    """Mirror of isSpecialSchool() in nextjs-app/lib/utils.ts.

    Special schools carry a mainstream phase, so phase alone cannot identify
    them. The two implementations must agree: a school the frontend treats as
    special for benchmarking but this treats as mainstream would be dropped
    from its own England comparison and then offered as a peer to a mainstream
    school on the next page along.
    """
    return bool(_SPECIAL.search(school_type or ""))


def is_selective(admissions_policy: str | None) -> bool:
    """Strictly selective. Unknown counts as non-selective, which is the safe
    direction: it can only ever exclude a pairing, never invent one."""
    return (admissions_policy or "").strip().lower() == "selective"


def faith_key(denomination: str | None) -> str:
    value = (denomination or "").strip().lower()
    return "" if value in _NO_FAITH else value


def faith_label(denomination: str | None) -> str:
    return denomination.strip() if faith_key(denomination) else "No religious character"


def genders_compatible(a: str | None, b: str | None) -> bool:
    single = {"boys", "girls"}
    left, right = (a or "").strip().lower(), (b or "").strip().lower()
    return not (left in single and right in single and left != right)


def phase_label(phase: str | None) -> str:
    text = (phase or "").strip()
    if not text:
        return "School"
    if text.lower() == "all-through":
        return "All-through school"
    return f"{text.capitalize()} school"


def _phase_group(is_secondary: bool) -> set[str]:
    return PHASE_GROUPS["secondary" if is_secondary else "primary"]


def _haversine_miles(lat1: float, lon1: float, lat2, lon2):
    """Vectorised, matching the postcode search in app.py."""
    lat1_r, lon1_r = np.radians(lat1), np.radians(lon1)
    lat2_r, lon2_r = np.radians(lat2.astype(float)), np.radians(lon2.astype(float))
    dlat, dlon = lat2_r - lat1_r, lon2_r - lon1_r
    a = np.sin(dlat / 2) ** 2 + np.cos(lat1_r) * np.cos(lat2_r) * np.sin(dlon / 2) ** 2
    return 2 * EARTH_RADIUS_MILES * np.arcsin(np.sqrt(a))


def _native(value):
    """NaN and numpy scalars both reach JSONResponse badly; normalise here so
    the caller never has to remember to."""
    if value is None or (isinstance(value, float) and np.isnan(value)):
        return None
    if isinstance(value, np.generic):
        value = value.item()
    if isinstance(value, float) and np.isnan(value):
        return None
    return value


def _chips(subject: pd.Series, candidate: pd.Series, tier: int, is_secondary: bool) -> list[str]:
    if tier >= 3:
        return [phase_label(candidate.get("phase"))]

    chips = [str(subject.get("gender") or "").strip()]
    if is_secondary:
        policy = (candidate.get("admissions_policy") or "").strip()
        if policy and policy.lower() not in {"not applicable", "unknown"}:
            chips.append(policy)
    if tier == 1:
        chips.append(faith_label(candidate.get("religious_denomination")))
    return [chip for chip in chips if chip]


def select_similar(frame: pd.DataFrame, urn: int, is_secondary: bool) -> list[dict]:
    """Up to TARGET nearby schools this page may offer, or [] below MINIMUM.

    Selected by tier, displayed by distance: the tier decides which schools
    earn a slot, and the render order is then closest-first, because "nearby"
    is the promise in the heading.
    """
    subject_rows = frame[frame["urn"] == urn]
    if subject_rows.empty:
        return []
    subject = subject_rows.iloc[0]

    lat, lon = _native(subject.get("latitude")), _native(subject.get("longitude"))
    if lat is None or lon is None:
        return []

    metric_key = "attainment_8_score" if is_secondary else "rwm_expected_pct"

    candidates = frame[frame["urn"] != urn].copy()
    for column in ("latitude", "longitude"):
        candidates = candidates[candidates[column].notna()]
    if candidates.empty:
        return []

    # ── Hard filters ────────────────────────────────────────────────────
    allowed_phases = _phase_group(is_secondary)
    candidates = candidates[
        candidates["phase"].fillna("").str.lower().isin(allowed_phases)
    ]
    candidates = candidates[candidates["status"].fillna("").str.lower().str.startswith("open")]

    subject_special = is_special_provision(subject.get("school_type"))
    special = candidates["school_type"].apply(is_special_provision)
    candidates = candidates[special if subject_special else ~special]

    subject_selective = is_selective(subject.get("admissions_policy"))
    selective = candidates["admissions_policy"].apply(is_selective)
    candidates = candidates[selective if subject_selective else ~selective]

    subject_gender = subject.get("gender")
    candidates = candidates[
        candidates["gender"].apply(lambda g: genders_compatible(subject_gender, g))
    ]
    if candidates.empty:
        return []

    candidates["distance_miles"] = _haversine_miles(
        lat, lon, candidates["latitude"].values, candidates["longitude"].values
    ).round(1)

    # ── Soft preferences, in tiers ──────────────────────────────────────
    subject_faith = faith_key(subject.get("religious_denomination"))
    subject_gender_key = (subject_gender or "").strip().lower()
    same_gender = candidates["gender"].fillna("").str.strip().str.lower() == subject_gender_key
    same_faith = candidates["religious_denomination"].apply(faith_key) == subject_faith

    tier_masks = {
        1: same_gender & same_faith,
        2: same_gender,
        3: pd.Series(True, index=candidates.index),
    }

    picked: dict[int, tuple[int, pd.Series]] = {}
    for tier, radius in TIERS:
        if len(picked) >= TARGET:
            break
        within = candidates[tier_masks[tier] & (candidates["distance_miles"] <= radius)]
        for _, row in within.sort_values("distance_miles").iterrows():
            candidate_urn = int(row["urn"])
            if candidate_urn in picked:
                continue
            picked[candidate_urn] = (tier, row)
            if len(picked) >= TARGET:
                break

    if len(picked) < MINIMUM:
        return []

    selected = sorted(picked.values(), key=lambda pair: float(pair[1]["distance_miles"]))
    return [
        {
            "urn": int(row["urn"]),
            "school_name": str(row.get("school_name") or ""),
            "distance_miles": float(row["distance_miles"]),
            "school_type": _native(row.get("school_type")),
            "age_range": _native(row.get("age_range")),
            "shared": _chips(subject, row, tier, is_secondary),
            "tier": tier,
            "metric_value": _native(row.get(metric_key)),
            "metric_key": metric_key,
            "metric_year": _native(row.get("year")),
        }
        for tier, row in selected
    ]

• Step 5: Run the tests to verify they pass

Run:

/tmp/schoolcompare-backend-venv/bin/python -m pytest backend/tests/test_similar_schools.py -q

Expected: PASS, 14 tests.

• Step 6: Run the whole backend suite for the PHASE_GROUPS move

Run:

/tmp/schoolcompare-backend-venv/bin/python -m pytest backend/tests -q

Expected: PASS. Any failure here is the constant move, not the new module.

• Step 7: Commit

git add backend/similar_schools.py backend/tests/test_similar_schools.py backend/schemas.py backend/app.py
git commit -m "feat(api): decide which nearby schools a page may offer

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>"

---

Task 2: Serve it on the detail endpoint

Files:

• Modify: backend/app.py (detail route at line 910, response dict at ~975)
• Test: backend/tests/test_similar_schools.py (append)

Interfaces:

• Consumes: select_similar(frame, urn, is_secondary) from Task 1.

• Produces: a similar_schools key on the /api/schools/{urn} JSON response — a list of the Task 1 dicts, [] when nothing qualifies. Never absent on a build that has this code.

• Step 1: Write the failing test

Append to backend/tests/test_similar_schools.py:

import pytest
from fastapi.testclient import TestClient


def _endpoint_frame():
    return _frame(
        _row(100001, "Subject Primary"),
        _row(100002, "Neighbour A", latitude=_at(0.5)),
        _row(100003, "Neighbour B", latitude=_at(0.6)),
    )


@pytest.fixture()
def client(monkeypatch):
    from backend import app as app_module

    monkeypatch.setattr(app_module, "load_latest_school_data", _endpoint_frame)
    monkeypatch.setattr(app_module, "load_school_data", _endpoint_frame)
    monkeypatch.setattr(app_module, "get_supplementary_data", lambda db, urn: {})
    return TestClient(app_module.app, raise_server_exceptions=False)


def test_detail_payload_carries_similar_schools(client):
    resp = client.get("/api/schools/100001")
    assert resp.status_code == 200, resp.text
    similar = resp.json()["similar_schools"]
    assert [s["school_name"] for s in similar] == ["Neighbour A", "Neighbour B"]
    assert similar[0]["metric_key"] == "rwm_expected_pct"


def test_a_failure_in_selection_does_not_break_the_page(client, monkeypatch):
    from backend import app as app_module

    def _explode(*args, **kwargs):
        raise ValueError("selection blew up")

    monkeypatch.setattr(app_module, "select_similar", _explode)
    resp = client.get("/api/schools/100001")
    assert resp.status_code == 200, resp.text
    assert resp.json()["similar_schools"] == []

• Step 2: Run the tests to verify they fail

Run:

/tmp/schoolcompare-backend-venv/bin/python -m pytest backend/tests/test_similar_schools.py -q -k "detail_payload or failure_in_selection"

Expected: FAIL with KeyError: 'similar_schools'.

• Step 3: Write the implementation

In backend/app.py, add to the imports:

from .similar_schools import select_similar

Add this helper beside _places_payload:

def _similar_schools_payload(urn: int, phase: str | None) -> list[dict]:
    """Nearby schools this page may offer as alternatives.

    Wrapped: a failure in selection must never 500 a page that is otherwise
    complete, which is the posture get_supplementary_data already takes. The
    section simply does not render.
    """
    try:
        phase_text = (phase or "").lower()
        # All-through schools render with the primary template, which is what
        # decides the metric, so they are not secondary here.
        is_secondary = phase_text != "all-through" and "secondary" in phase_text
        return select_similar(load_latest_school_data(), int(urn), is_secondary)
    except Exception:
        logger.exception("similar schools selection failed for urn=%s", urn)
        return []

In the /api/schools/{urn} response dict, immediately after the "places" key:

        # Nearby schools of the same phase and a comparable intake. Always
        # present on a build with this code; the frontend treats absent and
        # empty identically, which is what lets the two images deploy
        # independently.
        "similar_schools": _similar_schools_payload(urn, latest.get("phase")),

• Step 4: Run the tests to verify they pass

Run:

/tmp/schoolcompare-backend-venv/bin/python -m pytest backend/tests -q

Expected: PASS, whole suite.

• Step 5: Commit

git add backend/app.py backend/tests/test_similar_schools.py
git commit -m "feat(api): serve similar schools on the detail endpoint

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>"

---

Task 3: Types and the section component

Files:

• Modify: nextjs-app/lib/types.ts
• Create: nextjs-app/components/school/SimilarSchoolsSection.tsx
• Create: nextjs-app/components/school/SimilarSchools.module.css
• Create: nextjs-app/components/school/AddToCompareButton.tsx
• Test: nextjs-app/__tests__/components/SimilarSchoolsSection.test.tsx

Interfaces:

• Consumes: the similar_schools payload from Task 2.

• Produces: SimilarSchool (exported from lib/types.ts) and <SimilarSchoolsSection schoolName={string} phaseNoun={string} thisMetricValue={number | null} similar={SimilarSchool[]} />, which returns null when it must not render. Also shouldRenderSimilar(similar?: SimilarSchool[] | null): boolean, exported from the same file and consumed by Task 4's nav gating, and <SimilarSchoolsCompareBar thisUrn={number} candidates={SimilarSchool[]} />.

• Step 1: Write the failing test

Create nextjs-app/__tests__/components/SimilarSchoolsSection.test.tsx:

/**
 * The section's job is to be honest about what it matched. These tests pin the
 * three ways it could lie: rendering below the minimum, claiming a similar
 * intake at tier 3, and showing a missing figure as a number.
 */

import { render, screen } from '@testing-library/react';

import {
  SimilarSchoolsSection,
  shouldRenderSimilar,
} from '@/components/school/SimilarSchoolsSection';
import type { SimilarSchool } from '@/lib/types';

jest.mock('@/components/school/AddToCompareButton', () => ({
  AddToCompareButton: ({ school }: { school: SimilarSchool }) => (
    <button type="button">Add {school.school_name} to compare</button>
  ),
}));

jest.mock('@/components/school/SimilarSchoolsCompareBar', () => ({
  SimilarSchoolsCompareBar: ({ thisUrn }: { thisUrn: number }) => (
    <div data-testid="compare-bar">bar for {thisUrn}</div>
  ),
}));

function school(overrides: Partial<SimilarSchool> = {}): SimilarSchool {
  return {
    urn: 100002,
    school_name: 'Willow Lane Primary School',
    distance_miles: 0.6,
    school_type: 'Community school',
    age_range: '4-11',
    shared: ['Mixed', 'No religious character'],
    tier: 1,
    metric_value: 74,
    metric_key: 'rwm_expected_pct',
    metric_year: 202425,
    ...overrides,
  };
}

function renderSection(similar: SimilarSchool[]) {
  return render(
    <SimilarSchoolsSection
      urn={100001}
      schoolName="Meadowbrook Primary School"
      phaseNoun="primary"
      thisMetricValue={72}
      similar={similar}
    />,
  );
}

describe('render gates', () => {
  it.each([
    ['undefined', undefined],
    ['null', null],
    ['empty', []],
    ['a single school', [school()]],
  ])('renders nothing for %s', (_label, value) => {
    expect(shouldRenderSimilar(value as SimilarSchool[] | null | undefined)).toBe(false);
  });

  it('renders for two or more schools', () => {
    expect(shouldRenderSimilar([school(), school({ urn: 100003 })])).toBe(true);
  });

  it('returns null rather than an empty shell below the minimum', () => {
    const { container } = renderSection([school()]);
    expect(container).toBeEmptyDOMElement();
  });
});

describe('the claim the lede makes', () => {
  it('claims a similar intake when every card is tier 1 or 2', () => {
    renderSection([school({ tier: 1 }), school({ urn: 100003, tier: 2 })]);
    expect(screen.getByText(/with a similar intake/i)).toBeInTheDocument();
  });

  it('drops the claim when any card is tier 3', () => {
    renderSection([school({ tier: 1 }), school({ urn: 100003, tier: 3, shared: ['Primary school'] })]);
    expect(screen.queryByText(/with a similar intake/i)).not.toBeInTheDocument();
  });
});

describe('cards', () => {
  it('links each school to its canonical slug', () => {
    renderSection([school(), school({ urn: 100003, school_name: 'Oakfield Primary School' })]);
    const link = screen.getByRole('link', { name: /Willow Lane Primary School/ });
    expect(link).toHaveAttribute('href', '/school/100002-willow-lane-primary-school');
  });

  it('shows the distance and the shared characteristics', () => {
    renderSection([school(), school({ urn: 100003 })]);
    expect(screen.getAllByText('0.6 miles away').length).toBeGreaterThan(0);
    expect(screen.getAllByText('Mixed').length).toBeGreaterThan(0);
  });

  it('renders a missing figure as "Not published", never as a number', () => {
    renderSection([school({ metric_value: null }), school({ urn: 100003 })]);
    expect(screen.getByText('Not published')).toBeInTheDocument();
  });

  it('anchors each figure against this school', () => {
    renderSection([school(), school({ urn: 100003 })]);
    expect(screen.getAllByText('72% at this school').length).toBe(2);
  });

  it('offers the compare bar once, for this school', () => {
    renderSection([school(), school({ urn: 100003 })]);
    expect(screen.getByTestId('compare-bar')).toHaveTextContent('bar for 100001');
  });

  it('says distances are straight-line, and offers no method panel', () => {
    const { container } = renderSection([school(), school({ urn: 100003 })]);
    expect(screen.getByText(/straight-line from this school/i)).toBeInTheDocument();
    expect(container.querySelector('details')).toBeNull();
  });
});

• Step 2: Run the test to verify it fails

Run (from nextjs-app/):

npm test -- --runInBand SimilarSchoolsSection

Expected: FAIL, cannot resolve @/components/school/SimilarSchoolsSection.

• Step 3: Add the type

In nextjs-app/lib/types.ts, beside the other detail-payload types:

/** A nearby school of the same phase and a comparable intake.
 *  `tier` is carried explicitly rather than inferred from `shared`, because it
 *  drives two separate decisions — whether the lede may claim a similar intake,
 *  and whether a chip renders as a fill or a muted outline. */
export interface SimilarSchool {
  urn: number;
  school_name: string;
  distance_miles: number;
  school_type: string | null;
  age_range: string | null;
  shared: string[];
  tier: number;
  metric_value: number | null;
  metric_key: string;
  metric_year: number | null;
}

Add to the school detail response interface (the one fetchSchoolDetails returns), keeping it optional so an older backend image still typechecks:

  similar_schools?: SimilarSchool[];

• Step 4: Write the client island

Create nextjs-app/components/school/AddToCompareButton.tsx:

'use client';

/**
 * The only client JavaScript in the similar-schools section.
 *
 * The links are server-rendered, so the section works with JS off; this adds
 * the basket interaction on top rather than being what makes the section
 * function.
 */

import { useComparisonContext } from '@/context/ComparisonContext';
import type { School, SimilarSchool } from '@/lib/types';
import styles from './SimilarSchools.module.css';

export function AddToCompareButton({ school }: { school: SimilarSchool }) {
  const { addSchool, removeSchool, selectedSchools } = useComparisonContext();
  const selected = selectedSchools.some((s) => s.urn === school.urn);

  const toggle = () => {
    if (selected) {
      removeSchool(school.urn);
      return;
    }
    // The basket only needs identity and display fields; the compare page
    // fetches everything it renders by URN.
    addSchool({
      urn: school.urn,
      school_name: school.school_name,
      school_type: school.school_type,
      age_range: school.age_range,
    } as School);
  };

  return (
    <button
      type="button"
      className={styles.add}
      onClick={toggle}
      aria-pressed={selected}
    >
      {selected ? '✓ Added to compare' : '+ Add to compare'}
      <span className={styles.srOnly}> — {school.school_name}</span>
    </button>
  );
}

• Step 5: Write the compare bar

Create nextjs-app/components/school/SimilarSchoolsCompareBar.tsx:

'use client';

/**
 * The selection count and the one decisive action in the section.
 *
 * The CTA is a real link, not a handler: /compare already parses `urns` from
 * the query string, so the hand-off needs no new compare plumbing. It counts
 * this school plus whatever the reader ticked, because comparing a shortlist
 * without the school they are looking at is not what they asked for.
 */

import Link from 'next/link';
import { useComparisonContext } from '@/context/ComparisonContext';
import type { SimilarSchool } from '@/lib/types';
import styles from './SimilarSchools.module.css';

export function SimilarSchoolsCompareBar({
  thisUrn,
  candidates,
}: {
  thisUrn: number;
  candidates: SimilarSchool[];
}) {
  const { selectedSchools } = useComparisonContext();

  // Only the schools this section offers, in the order the cards show them —
  // the basket may hold schools picked up elsewhere on the site, and this bar
  // speaks for this section.
  const offered = candidates
    .map((c) => c.urn)
    .filter((urn) => selectedSchools.some((s) => s.urn === urn));

  const count = offered.length;
  const href = `/compare?urns=${[thisUrn, ...offered].join(',')}`;

  return (
    <div className={styles.footer}>
      <p aria-live="polite">
        <strong>
          {count
            ? `${count} school${count === 1 ? '' : 's'} selected`
            : 'Compare side by side'}
        </strong>
        {count
          ? 'This school is included automatically.'
          : 'Add a school to compare it with this one.'}
      </p>
      {count ? (
        <Link className={styles.compare} href={href}>
          Compare {count + 1} schools →
        </Link>
      ) : (
        <span className={styles.compare} aria-disabled="true">
          Compare →
        </span>
      )}
    </div>
  );
}

• Step 6: Write the section

Create nextjs-app/components/school/SimilarSchoolsSection.tsx:

/**
 * SimilarSchoolsSection — nearby schools of the same phase and a comparable
 * intake. Server component; only AddToCompareButton is client-side.
 *
 * The section is allowed to say exactly what the backend matched and no more.
 * The lede only claims a similar intake when no card came from tier 3, and a
 * card's chips list what that school actually shares rather than a match it
 * did not earn.
 *
 * There is deliberately no "how these are chosen" panel: the method is already
 * visible in the lede, the chips and the distances. The single caption line is
 * not a method note — it is the one thing a card cannot self-correct.
 */

import Link from 'next/link';
import type { SimilarSchool } from '@/lib/types';
import { schoolUrl } from '@/lib/utils';
import { AddToCompareButton } from './AddToCompareButton';
import { SimilarSchoolsCompareBar } from './SimilarSchoolsCompareBar';
import { Section } from './sectionShared';
import styles from './SimilarSchools.module.css';

const MINIMUM = 2;

export function shouldRenderSimilar(similar?: SimilarSchool[] | null): boolean {
  return (similar?.length ?? 0) >= MINIMUM;
}

function metricLabel(key: string): string {
  return key === 'attainment_8_score' ? 'Attainment 8' : 'Reading, writing & maths';
}

function formatMetric(value: number | null, key: string): string {
  if (value == null) return 'Not published';
  return key === 'attainment_8_score' ? value.toFixed(1) : `${Math.round(value)}%`;
}

export function SimilarSchoolsSection({
  urn,
  schoolName,
  phaseNoun,
  thisMetricValue,
  similar,
}: {
  urn: number;
  schoolName: string;
  phaseNoun: string;
  thisMetricValue: number | null;
  similar?: SimilarSchool[] | null;
}) {
  if (!shouldRenderSimilar(similar)) return null;
  const schools = similar as SimilarSchool[];

  // One card matched on phase alone, so the section may not claim the set
  // shares an intake with this school.
  const loosest = Math.max(...schools.map((s) => s.tier));
  const metricKey = schools[0].metric_key;

  return (
    <Section id="similar">
      <h2 className={styles.heading}>Similar schools nearby</h2>
      <p className={styles.lede}>
        {loosest >= 3
          ? `Other ${phaseNoun} schools near ${schoolName}.`
          : `Other ${phaseNoun} schools near ${schoolName}, with a similar intake.`}
      </p>

      <ul className={styles.grid}>
        {schools.map((school) => (
          <li key={school.urn} className={styles.school}>
            <p className={styles.distance}>{school.distance_miles} miles away</p>
            <h3 className={styles.name}>
              <Link href={schoolUrl(school.urn, school.school_name)}>
                {school.school_name}
              </Link>
            </h3>
            <p className={styles.meta}>
              {[school.school_type, school.age_range && `Ages ${school.age_range}`]
                .filter(Boolean)
                .join(' · ')}
            </p>
            <ul className={styles.shared}>
              {school.shared.map((label) => (
                <li key={label} className={school.tier >= 3 ? styles.chipLoose : styles.chip}>
                  {label}
                </li>
              ))}
            </ul>
            <div className={styles.metric}>
              <p
                className={
                  school.metric_value == null ? styles.valueAbsent : styles.value
                }
              >
                {formatMetric(school.metric_value, school.metric_key)}
              </p>
              <p className={styles.metricLabel}>{metricLabel(school.metric_key)}</p>
              {thisMetricValue != null && (
                <p className={styles.metricRef}>
                  {formatMetric(thisMetricValue, metricKey)} at this school
                </p>
              )}
            </div>
            <AddToCompareButton school={school} />
          </li>
        ))}
      </ul>

      <SimilarSchoolsCompareBar thisUrn={urn} candidates={schools} />

      {/* The one caveat the cards cannot make on their own: a reader who takes
          "0.6 miles away" for the walk has been misled, and nothing else here
          corrects that. */}
      <p className={styles.caption}>
        Distances are straight-line from this school, not road distance.
      </p>
    </Section>
  );
}

• Step 7: Write the stylesheet

Create nextjs-app/components/school/SimilarSchools.module.css. Tokens only — darkThemeSafety.test.ts fails the build on any hardcoded colour:

.heading { font-family: var(--font-display); font-size: 1.4rem; letter-spacing: -0.4px; margin: 0; }
.lede { margin: 0.5rem 0 1.25rem; color: var(--text-secondary); max-width: 64ch; }
.caption { margin: 1rem 0 0; font-size: 0.72rem; color: var(--text-muted); }

.grid { display: grid; grid-template-columns: repeat(3, minmax(0, 1fr)); gap: 0.9rem; list-style: none; margin: 0; padding: 0; }
@media (max-width: 820px) { .grid { grid-template-columns: repeat(2, minmax(0, 1fr)); } }
@media (max-width: 560px) { .grid { grid-template-columns: 1fr; } }

.school { position: relative; display: flex; flex-direction: column; border: 1px solid var(--border); border-radius: 8px; padding: 1rem; background: var(--bg-card); }
.school:hover { border-color: var(--border-strong); }

.distance { margin: 0 0 0.6rem; font-size: 0.75rem; color: var(--text-muted); }
.name { font-family: var(--font-display); font-size: 1rem; line-height: 1.35; margin: 0 0 0.35rem; }
.name a { color: var(--text-primary); text-decoration: none; }
/* The whole card is the link target; the button sits above it on z-index. */
.name a::after { content: ""; position: absolute; inset: 0; border-radius: 8px; }
.name a:hover { color: var(--brand); text-decoration: underline; }
.meta { margin: 0 0 0.75rem; font-size: 0.78rem; color: var(--text-muted); }

.shared { display: flex; flex-wrap: wrap; gap: 0.35rem; list-style: none; margin: 0 0 0.85rem; padding: 0; }
.chip { font-size: 0.72rem; line-height: 1.4; padding: 0.25rem 0.5rem; border-radius: 999px; background: var(--brand-bg); color: var(--brand); border: 1px solid transparent; }
.chipLoose { font-size: 0.72rem; line-height: 1.4; padding: 0.25rem 0.5rem; border-radius: 999px; background: transparent; color: var(--text-muted); border: 1px solid var(--border); }

.metric { margin-top: auto; padding-top: 0.8rem; border-top: 1px solid var(--border); }
/* No valence colour here, deliberately: green and terracotta mean "against the
   England average" everywhere else on the site, and colouring a neighbour
   against this school would read as ranking the neighbours. */
.value { font-family: var(--font-display); font-size: 1.6rem; font-weight: 700; letter-spacing: -0.6px; margin: 0; color: var(--text-primary); }
.valueAbsent { font-size: 0.95rem; font-weight: 600; margin: 0; color: var(--text-muted); }
.metricLabel { margin: 0.25rem 0 0; font-size: 0.75rem; color: var(--text-secondary); }
.metricRef { margin: 0.1rem 0 0; font-size: 0.75rem; color: var(--text-muted); }

.add { position: relative; z-index: 1; margin-top: 0.85rem; width: 100%; min-height: 40px; font: inherit; font-size: 0.82rem; font-weight: 500; cursor: pointer; border-radius: 8px; border: 1px solid var(--border-strong); background: var(--bg-card); color: var(--brand); }
.add:hover { border-color: var(--brand); background: var(--brand-bg); }
.add[aria-pressed="true"] { border-color: var(--brand); background: var(--brand-bg); font-weight: 600; }

.footer { display: flex; flex-wrap: wrap; align-items: center; justify-content: space-between; gap: 0.85rem; margin-top: 1.25rem; padding-top: 1.1rem; border-top: 1px solid var(--border); }
.footer p { margin: 0; font-size: 0.78rem; color: var(--text-muted); }
.footer strong { display: block; font-size: 0.88rem; font-weight: 600; color: var(--text-primary); }
/* Coral is the one decisive action per screen, and in this section this is it. */
.compare { min-height: 44px; padding: 0 1.25rem; border-radius: 8px; font-size: 0.88rem; font-weight: 600; background: var(--action); color: var(--action-on); border: 1px solid var(--action); text-decoration: none; display: inline-flex; align-items: center; }
.compare:hover { background: var(--action-strong); border-color: var(--action-strong); }
.compare[aria-disabled="true"] { opacity: 0.45; pointer-events: none; }

.srOnly { position: absolute; width: 1px; height: 1px; padding: 0; margin: -1px; overflow: hidden; clip: rect(0 0 0 0); white-space: nowrap; border: 0; }

• Step 8: Run the tests to verify they pass

Run (from nextjs-app/):

npm test -- --runInBand SimilarSchoolsSection darkThemeSafety
npm run typecheck

Expected: PASS on both suites, and typecheck clean.

• Step 9: Commit

git add nextjs-app/lib/types.ts nextjs-app/components/school/SimilarSchoolsSection.tsx nextjs-app/components/school/SimilarSchools.module.css nextjs-app/components/school/AddToCompareButton.tsx nextjs-app/components/school/SimilarSchoolsCompareBar.tsx nextjs-app/__tests__/components/SimilarSchoolsSection.test.tsx
git commit -m "feat(web): similar schools section, honest about what it matched

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>"

---

Task 4: Wire it into both templates

Files:

• Modify: nextjs-app/lib/schoolSections.ts (buildNavItems at line 143, buildSecondaryNavItems)
• Modify: nextjs-app/components/school/PrimarySchoolSections.tsx
• Modify: nextjs-app/components/school/SecondarySchoolSections.tsx
• Modify: nextjs-app/app/(frontend)/school/[slug]/page.tsx
• Test: nextjs-app/__tests__/lib/schoolSections.test.ts (append, or create if absent)

Interfaces:

• Consumes: shouldRenderSimilar and SimilarSchoolsSection from Task 3.

• Produces: nothing later tasks build on.

• Step 1: Write the failing test

Append to the existing nextjs-app/__tests__/lib/schoolSections.test.ts, matching the imports already at the top of that file:

import { buildNavItems, buildSecondaryNavItems, computeSchoolFlags } from '@/lib/schoolSections';

const navInput = {
  ofsted: null,
  admissions: null,
  admissionDistance: null,
  hasLocation: true,
  yearlyDataLength: 1,
  hasSimilarSchools: true,
};

describe('the similar-schools nav item', () => {
  it('appears on both templates when the section renders', () => {
    const flags = computeSchoolFlags({
      schoolInfo: { phase: 'Primary' } as never,
      yearlyData: [], absenceData: [], census: null,
      deprivation: null, finance: null, destinations: null,
    });
    expect(buildNavItems(flags, navInput).map((i) => i.id)).toContain('similar');
    expect(buildSecondaryNavItems(flags as never, navInput).map((i) => i.id)).toContain('similar');
  });

  it('is absent when the section does not render', () => {
    const flags = computeSchoolFlags({
      schoolInfo: { phase: 'Primary' } as never,
      yearlyData: [], absenceData: [], census: null,
      deprivation: null, finance: null, destinations: null,
    });
    const without = { ...navInput, hasSimilarSchools: false };
    expect(buildNavItems(flags, without).map((i) => i.id)).not.toContain('similar');
    expect(buildSecondaryNavItems(flags as never, without).map((i) => i.id)).not.toContain('similar');
  });
});

• Step 2: Run the test to verify it fails

Run (from nextjs-app/):

npm test -- --runInBand schoolSections

Expected: FAIL — 'similar' is not in the nav item ids.

• Step 3: Add the nav item

In nextjs-app/lib/schoolSections.ts, add hasSimilarSchools: boolean; to the NavItemsInput interface, then destructure it in both builders and append, as the last item in each (the section renders last, and the scroll-spy order must match the DOM order):

  if (hasSimilarSchools) navItems.push({ id: 'similar', label: 'Similar schools' });

• Step 4: Render the section in both templates

In PrimarySchoolSections.tsx and SecondarySchoolSections.tsx: add similarSchools?: SimilarSchool[] to the props interface, import SimilarSchoolsSection, and render it as the last child, after every existing section:

      <SimilarSchoolsSection
        urn={schoolInfo.urn}
        schoolName={schoolInfo.school_name}
        phaseNoun={phaseNoun}
        thisMetricValue={thisMetricValue}
        similar={similarSchools}
      />

In PrimarySchoolSections.tsx, derive the two values from what the component already has:

  const phaseNoun = (schoolInfo.phase ?? '').toLowerCase() === 'all-through'
    ? 'all-through'
    : 'primary';
  const thisMetricValue = flags.latestResults?.rwm_expected_pct ?? null;

In SecondarySchoolSections.tsx:

  const phaseNoun = 'secondary';
  const thisMetricValue = flags.latestResults?.attainment_8_score ?? null;

• Step 5: Pass the payload through the page

In nextjs-app/app/(frontend)/school/[slug]/page.tsx:

Add similar_schools to the destructure of data (around line 155):

  // Absent on an older API build, exactly like `places` above.
  const similarSchools = data.similar_schools ?? [];

Add to navInput (around line 185):

    hasSimilarSchools: shouldRenderSimilar(similarSchools),

importing shouldRenderSimilar from @/components/school/SimilarSchoolsSection, and pass similarSchools={similarSchools} to both <PrimarySchoolSections> and <SecondarySchoolSections>.

• Step 6: Run the full frontend suite

Run (from nextjs-app/):

npm run typecheck && npm test -- --runInBand

Expected: PASS on both. Every existing caller of buildNavItems / buildSecondaryNavItems now needs hasSimilarSchools; a typecheck failure here is a caller you have not updated yet.

• Step 7: Commit

git add nextjs-app/lib/schoolSections.ts nextjs-app/components/school/PrimarySchoolSections.tsx nextjs-app/components/school/SecondarySchoolSections.tsx "nextjs-app/app/(frontend)/school/[slug]/page.tsx" nextjs-app/__tests__/lib/schoolSections.test.ts
git commit -m "feat(web): render similar schools on both detail templates

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>"

---

Task 5: Journey and documentation

Files:

• Modify: e2e/tests/journeys.spec.ts
• Modify: docs/ARCHITECTURE.md

Interfaces:

• Consumes: the rendered section from Task 4.

• Produces: nothing.

• Step 1: Write the journey

Append to e2e/tests/journeys.spec.ts, following the file's existing convention of asserting stable invariants rather than exact numbers:

/**
 * Similar schools nearby.
 *
 * The section is absent by design where fewer than two schools qualify, so
 * this walks from a search hit to a school page and asserts the section's
 * contract only where it renders — and asserts the compare hand-off, which is
 * the one part that can break silently.
 */
test('similar schools link on to other schools and into compare', async ({ page }) => {
  await searchByName(page, 'Primary');
  await schoolLinks(page).first().click();
  await page.waitForURL(/\/school\//);

  const section = page.locator('#similar');
  if ((await section.count()) === 0) {
    test.skip(true, 'No qualifying similar schools for this school');
  }

  // Every card is a real link to another school page.
  const links = section.locator('a[href^="/school/"]');
  expect(await links.count()).toBeGreaterThanOrEqual(2);
  const href = await links.first().getAttribute('href');
  expect(href).toMatch(/^\/school\/\d{6}-/);

  // A missing figure says so rather than showing a number.
  await expect(section.getByText(/miles away/).first()).toBeVisible();

  // The compare hand-off.
  await section.getByRole('button', { name: /Add to compare/ }).first().click();
  await expect(
    section.getByRole('button', { name: /Added to compare/ }).first(),
  ).toBeVisible();
});

• Step 2: Note the staging gate

Do not try to run this journey locally against a dev server. On this project the E2E gate runs against staging after merge, so this journey is not provable in the PR checks. Verify the PR on the unit suites, and check the post-merge staging run.

• Step 3: Document the section

In docs/ARCHITECTURE.md, under "Frontend boundaries", after the sentence about components/school/, add:

The similar-schools section is selected in `backend/similar_schools.py` — hard
filters that never relax (phase, provision, selectivity, gender) and soft
preferences that do (religious character, then gender exactness) — and served on
`/api/schools/{urn}`. Its selection rules are presentation logic, deliberately
kept out of `marts.*` so they can be tuned by deploy rather than by pipeline run.

• Step 4: Run every check before the PR

Run:

/tmp/schoolcompare-backend-venv/bin/python -m pytest backend/tests pipeline/tests scripts/ci/tests -q
cd nextjs-app && npm run typecheck && npm test -- --runInBand

Expected: PASS on all three.

• Step 5: Commit and open the PR

git add e2e/tests/journeys.spec.ts docs/ARCHITECTURE.md
git commit -m "test(e2e): cover the similar-schools section and compare hand-off

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>"
git push -u origin feat/similar-schools-nearby

Open a PR against main with passing checks. Do not push to main directly and do not trigger the promotion workflow.