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
This commit is contained in:
Tudor
2026-07-14 22:42:10 +01:00
co-authored by Claude Fable 5
parent 8e4ee64140
commit 315f1feede
4 changed files with 253 additions and 79 deletions
+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)]