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tudor 0c7ad0f309 Merge pull request 'test(e2e): fix flaky compare journey — select two same-phase schools' (#40) from fix/e2e-compare-samephase into main
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Reviewed-on: #40
2026-07-14 22:30:18 +00:00
TudorandClaude Fable 5 06e4898c30 test(e2e): pick two same-phase schools for the compare journey
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The compare page's phase tabs put all-through schools (which carry KS4
data) on the secondary tab, so comparing an all-through school with a
pure primary splits them across tabs and only the active tab renders its
link. The test picked the first two 'primary' search hits without
guaranteeing same phase, so it flaked whenever a search returned an
all-through school first (e.g. URN 137306). Now selects two pure-Primary
URNs via the API — deterministic and data-invariant.

Verified against staging: was a 15.6s timeout, now passes in ~1.8s.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-14 23:12:23 +01:00
tudor a9611e21c3 Merge pull request 'perf(api): batch supplementary queries — /api/compare stops scaling per school' (#38) from perf/batch-supplementary into main
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Reviewed-on: #38
2026-07-14 21:57:27 +00:00
tudor 0696518995 Merge pull request 'ci: speed up Frontend Typecheck + Tests (cache node_modules; cancel superseded runs)' (#39) from ci/frontend-checks-speedup into main
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Reviewed-on: #39
2026-07-14 21:57:08 +00:00
TudorandClaude Fable 5 315f1feede perf(api): batch supplementary queries — one per table, not five per school
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get_supplementary_data ran ~5 sequential DB round-trips per URN, so
/api/compare scaled at ~37ms/school (measured on staging: 1 school 155ms,
3 schools 220ms, 6 schools 340ms). get_supplementary_data_batch fetches
each table once with WHERE urn IN (...) and groups in Python, collapsing
5*N round-trips to a constant 5. get_supplementary_data is now a thin
wrapper so the detail endpoint is unchanged; the compare endpoint makes
one batched call. Each table degrades independently on failure.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-14 22:42:10 +01:00
5 changed files with 279 additions and 90 deletions
+4 -1
View File
@@ -30,6 +30,7 @@ from .data_loader import (
load_latest_school_data,
geocode_single_postcode,
get_supplementary_data,
get_supplementary_data_batch,
search_schools_typesense,
)
from .data_loader import get_data_info as get_db_info
@@ -679,8 +680,10 @@ async def compare_schools(
db = None
try:
db = database.SessionLocal()
# One query per table for all schools, not ~5 queries per school.
batch = get_supplementary_data_batch(db, urn_list)
for urn in urn_list:
supp = get_supplementary_data(db, urn)
supp = batch.get(urn, {})
supplementary_by_urn[urn] = {
key: supp.get(key, default)
for key, default in _EMPTY_SUPPLEMENTARY.items()
+133 -75
View File
@@ -662,92 +662,150 @@ def _admissions_row_dict(a) -> dict:
}
def get_supplementary_data(db: Session, urn: int) -> dict:
"""Fetch all supplementary data for a single school URN."""
result = {}
def _census_dict(pc) -> dict:
return {
"year": pc.year,
"total_pupils": pc.total_pupils,
"female_pupils": pc.female_pupils,
"male_pupils": pc.male_pupils,
"fsm_pct": pc.fsm_pct,
"eal_pct": pc.eal_pct,
}
def safe_query(model, pk_field, latest_field=None):
def _deprivation_dict(d) -> dict:
return {
"lsoa_code": d.lsoa_code,
"idaci_score": d.idaci_score,
"idaci_decile": d.idaci_decile,
}
def _finance_dict(f) -> dict:
return {
"year": f.year,
"per_pupil_spend": f.per_pupil_spend,
"staff_cost_pct": f.staff_cost_pct,
"teacher_cost_pct": f.teacher_cost_pct,
"support_staff_cost_pct": f.support_staff_cost_pct,
"premises_cost_pct": f.premises_cost_pct,
}
def _empty_supplementary() -> dict:
return {
"ofsted": None,
"census": None,
"admissions": None,
"admissions_history": [],
"sen_detail": None,
"phonics": None,
"deprivation": None,
"finance": None,
}
def get_supplementary_data_batch(db: Session, urns: list[int]) -> dict:
"""Fetch supplementary data for many URNs with one query per table
(WHERE urn IN (...)) instead of ~5 queries per school, collapsing the
per-request round-trips from 5*N to a constant 5. Returns {urn: block}
with the same shape get_supplementary_data produces per URN.
Each table is queried independently and failures degrade that table to
empty for every URN — a missing mart never blanks the others.
"""
urns = [int(u) for u in urns]
result = {urn: _empty_supplementary() for urn in urns}
if not urns:
return result
def _safe(fn):
try:
q = db.query(model).filter(getattr(model, pk_field) == urn)
if latest_field:
q = q.order_by(getattr(model, latest_field).desc())
return q.first()
fn()
except Exception as e:
import logging
logging.getLogger(__name__).error("safe_query failed for %s: %s", model.__name__, e)
logging.getLogger(__name__).error("batch supplementary query failed: %s", e)
db.rollback()
return None
# Latest Ofsted inspection
o = safe_query(FactOfstedInspection, "urn", "inspection_date")
result["ofsted"] = _ofsted_block(o, urn) if o else None
# Census (latest year of fact_pupil_characteristics)
pc = safe_query(FactPupilCharacteristics, "urn", "year")
result["census"] = (
{
"year": pc.year,
"total_pupils": pc.total_pupils,
"female_pupils": pc.female_pupils,
"male_pupils": pc.male_pupils,
"fsm_pct": pc.fsm_pct,
"eal_pct": pc.eal_pct,
}
if pc
else None
)
# Admissions — all years, oldest first (for the multi-year trend view).
try:
admissions_rows = (
db.query(FactAdmissions)
.filter(FactAdmissions.urn == urn)
.order_by(FactAdmissions.year.asc())
# Ofsted — latest inspection per URN. Ordered so the first row seen per
# URN is the most recent.
def _ofsted():
rows = (
db.query(FactOfstedInspection)
.filter(FactOfstedInspection.urn.in_(urns))
.order_by(FactOfstedInspection.urn, FactOfstedInspection.inspection_date.desc())
.all()
)
except Exception as e:
import logging
logging.getLogger(__name__).error("admissions history query failed: %s", e)
db.rollback()
admissions_rows = []
seen = set()
for o in rows:
if o.urn in seen:
continue
seen.add(o.urn)
result[o.urn]["ofsted"] = _ofsted_block(o, o.urn)
_safe(_ofsted)
history = [_admissions_row_dict(a) for a in admissions_rows]
result["admissions_history"] = history
# Keep the single latest-year object for backwards-compatible consumers
# (hero chips, etc.).
result["admissions"] = history[-1] if history else None
# Census — latest year per URN.
def _census():
rows = (
db.query(FactPupilCharacteristics)
.filter(FactPupilCharacteristics.urn.in_(urns))
.order_by(FactPupilCharacteristics.urn, FactPupilCharacteristics.year.desc())
.all()
)
seen = set()
for pc in rows:
if pc.urn in seen:
continue
seen.add(pc.urn)
result[pc.urn]["census"] = _census_dict(pc)
_safe(_census)
# SEN detail — not available in current marts
result["sen_detail"] = None
# Admissions — all years per URN, oldest first (multi-year trend view).
def _admissions():
rows = (
db.query(FactAdmissions)
.filter(FactAdmissions.urn.in_(urns))
.order_by(FactAdmissions.urn, FactAdmissions.year.asc())
.all()
)
history: dict = {urn: [] for urn in urns}
for a in rows:
history[a.urn].append(_admissions_row_dict(a))
for urn, rows_for_urn in history.items():
result[urn]["admissions_history"] = rows_for_urn
result[urn]["admissions"] = rows_for_urn[-1] if rows_for_urn else None
_safe(_admissions)
# Phonics — no school-level data on EES
result["phonics"] = None
# Deprivation — one row per URN.
def _deprivation():
rows = (
db.query(FactDeprivation)
.filter(FactDeprivation.urn.in_(urns))
.all()
)
for d in rows:
result[d.urn]["deprivation"] = _deprivation_dict(d)
_safe(_deprivation)
# Deprivation
d = safe_query(FactDeprivation, "urn")
result["deprivation"] = (
{
"lsoa_code": d.lsoa_code,
"idaci_score": d.idaci_score,
"idaci_decile": d.idaci_decile,
}
if d
else None
)
# Finance (latest year)
f = safe_query(FactFinance, "urn", "year")
result["finance"] = (
{
"year": f.year,
"per_pupil_spend": f.per_pupil_spend,
"staff_cost_pct": f.staff_cost_pct,
"teacher_cost_pct": f.teacher_cost_pct,
"support_staff_cost_pct": f.support_staff_cost_pct,
"premises_cost_pct": f.premises_cost_pct,
}
if f
else None
)
# Finance — latest year per URN.
def _finance():
rows = (
db.query(FactFinance)
.filter(FactFinance.urn.in_(urns))
.order_by(FactFinance.urn, FactFinance.year.desc())
.all()
)
seen = set()
for f in rows:
if f.urn in seen:
continue
seen.add(f.urn)
result[f.urn]["finance"] = _finance_dict(f)
_safe(_finance)
return result
def get_supplementary_data(db: Session, urn: int) -> dict:
"""Supplementary data for a single URN (thin wrapper over the batch)."""
return get_supplementary_data_batch(db, [urn])[int(urn)]
+5 -3
View File
@@ -67,7 +67,9 @@ def client(monkeypatch):
monkeypatch.setattr(app_module, "load_school_data", _two_primary_schools_df)
monkeypatch.setattr(
app_module, "get_supplementary_data", lambda db, urn: dict(CANNED_SUPPLEMENTARY)
app_module,
"get_supplementary_data_batch",
lambda db, urns: {int(u): dict(CANNED_SUPPLEMENTARY) for u in urns},
)
monkeypatch.setattr(database_module, "SessionLocal", _StubSession)
return TestClient(app_module.app, raise_server_exceptions=False)
@@ -102,10 +104,10 @@ def test_top_level_national_averages_and_benchmarks(client):
def test_supplementary_failure_degrades_not_500(client, monkeypatch):
from backend import app as app_module
def _boom(db, urn):
def _boom(db, urns):
raise RuntimeError("marts unavailable")
monkeypatch.setattr(app_module, "get_supplementary_data", _boom)
monkeypatch.setattr(app_module, "get_supplementary_data_batch", _boom)
resp = client.get("/api/compare?urns=100140")
assert resp.status_code == 200
school = resp.json()["comparison"]["100140"]
+111
View File
@@ -0,0 +1,111 @@
"""get_supplementary_data_batch fetches one query per table for all URNs
(not ~5 per school) and returns the same per-URN block shape as the
single-URN function, picking the latest row per URN where relevant."""
import types
from backend import data_loader
from backend.data_loader import get_supplementary_data_batch
class _FakeQuery:
"""Records that a query ran and serves canned rows filtered by an in-list."""
def __init__(self, recorder, model_name, rows):
self._rec = recorder
self._model = model_name
self._rows = rows
def filter(self, *args, **kwargs):
return self
def order_by(self, *args, **kwargs):
return self
def all(self):
self._rec.append(self._model)
return self._rows
def first(self):
self._rec.append(self._model)
return self._rows[0] if self._rows else None
class _FakeSession:
def __init__(self, rows_by_model):
self.rows_by_model = rows_by_model
self.queries: list[str] = []
def query(self, model):
name = model.__name__
return _FakeQuery(self.queries, name, self.rows_by_model.get(name, []))
def rollback(self):
pass
def _ofsted_row(urn, date, oe):
base = {f: None for f in (
"framework", "inspection_type", "quality_of_education", "behaviour_attitudes",
"personal_development", "leadership_management", "early_years_provision",
"sixth_form_provision", "ungraded_outcome", "ungraded_grade",
"rc_safeguarding_met", "rc_inclusion", "rc_curriculum_teaching", "rc_achievement",
"rc_attendance_behaviour", "rc_personal_development", "rc_leadership_governance",
"rc_early_years", "rc_sixth_form", "report_url",
)}
base.update(urn=urn, inspection_date=types.SimpleNamespace(isoformat=lambda: date),
overall_effectiveness=oe, grade_source=None)
return types.SimpleNamespace(**base)
def _adm_row(urn, year):
return types.SimpleNamespace(
urn=urn, year=year, school_phase="Primary", places_offered=100,
total_applications=200, first_preference_applications=150,
first_preference_offers=140, first_preference_offer_pct=93.3,
oversubscription_ratio=1.5, oversubscribed=True,
total_offers=100, second_preference_offers=5, third_preference_offers=2,
cross_la_applications=10, cross_la_offers=3,
)
def test_one_query_per_table_and_latest_row_per_urn():
rows = {
# URN 1 has two Ofsted rows; the batch must keep the most recent (2023).
"FactOfstedInspection": [
_ofsted_row(1, "2023-01-01", 2),
_ofsted_row(1, "2019-01-01", 3),
_ofsted_row(2, "2021-06-01", 1),
],
"FactAdmissions": [_adm_row(1, 202526), _adm_row(1, 202627), _adm_row(2, 202627)],
"FactPupilCharacteristics": [],
"FactDeprivation": [],
"FactFinance": [],
}
session = _FakeSession(rows)
out = get_supplementary_data_batch(session, [1, 2])
# Exactly one query per table — five total, regardless of two URNs.
assert sorted(session.queries) == [
"FactAdmissions", "FactDeprivation", "FactFinance",
"FactOfstedInspection", "FactPupilCharacteristics",
]
# Latest Ofsted kept per URN
assert out[1]["ofsted"]["overall_effectiveness"] == 2
assert out[2]["ofsted"]["overall_effectiveness"] == 1
# Admissions history grouped per URN, latest exposed as `admissions`
assert [r["year"] for r in out[1]["admissions_history"]] == [202526, 202627]
assert out[1]["admissions"]["year"] == 202627
assert out[2]["admissions_history"] == [{**out[2]["admissions_history"][0]}]
# Empty tables degrade to the null block, not a crash
assert out[1]["census"] is None and out[1]["deprivation"] is None
def test_single_wrapper_matches_batch(monkeypatch):
session = _FakeSession({"FactOfstedInspection": [_ofsted_row(5, "2022-01-01", 2)]})
single = data_loader.get_supplementary_data(session, 5)
assert single["ofsted"]["overall_effectiveness"] == 2
assert single["admissions_history"] == []
+26 -11
View File
@@ -19,6 +19,27 @@ function schoolLinks(page: Page) {
return page.locator('a[href^="/school/"]');
}
/**
* Two URNs guaranteed to be pure-primary (same phase). The compare page's
* phase tabs split all-through schools (which carry KS4 data) onto the
* secondary tab, so picking two arbitrary "primary" search hits can land
* them on different tabs where only the active one renders. Selecting via
* the API by exact phase keeps both on the same tab. Data-invariant: uses
* whatever primaries the environment holds.
*/
async function twoPrimaryUrns(page: Page): Promise<[string, string]> {
const res = await page.request.get('/api/schools?search=primary&per_page=50');
expect(res.ok()).toBeTruthy();
const body = await res.json();
const urns: string[] = (body.schools ?? [])
.filter((s: { phase?: string; rwm_expected_pct?: number | null }) =>
s.phase === 'Primary' && s.rwm_expected_pct != null,
)
.map((s: { urn: number }) => String(s.urn));
expect(urns.length).toBeGreaterThanOrEqual(2);
return [urns[0], urns[1]];
}
test('home page loads with hero search', async ({ page }) => {
await page.goto('/');
await expect(page.locator('h1').first()).toBeVisible();
@@ -139,19 +160,13 @@ test('results map fullscreen falls back to an overlay on iOS', async ({ page })
});
test('comparing two schools shows the parent-first sections side by side', async ({ page }) => {
// Collect two school URNs from search results, then load the share URL
await searchByName(page, 'primary');
await expect(schoolLinks(page).first()).toBeVisible({ timeout: 15_000 });
const hrefs = await schoolLinks(page).evaluateAll((links) =>
links.map((l) => (l as HTMLAnchorElement).getAttribute('href') || '')
);
const urns = [...new Set(hrefs.map((h) => h.match(/\/school\/(\d+)/)?.[1]).filter(Boolean))];
expect(urns.length).toBeGreaterThanOrEqual(2);
// Two same-phase (pure primary) schools so both stay on one tab.
const [urn0, urn1] = await twoPrimaryUrns(page);
await page.goto(`/compare?urns=${urns[0]},${urns[1]}`);
await page.goto(`/compare?urns=${urn0},${urn1}`);
// Both schools' detail links should render in the comparison view
await expect(page.locator(`a[href*="${urns[0]}"]`).first()).toBeVisible({ timeout: 15_000 });
await expect(page.locator(`a[href*="${urns[1]}"]`).first()).toBeVisible();
await expect(page.locator(`a[href*="${urn0}"]`).first()).toBeVisible({ timeout: 15_000 });
await expect(page.locator(`a[href*="${urn1}"]`).first()).toBeVisible();
// The parent-first sections render in order (data-invariant: headings only)
for (const heading of [