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
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@@ -662,92 +662,150 @@ def _admissions_row_dict(a) -> dict:
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}
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def get_supplementary_data(db: Session, urn: int) -> dict:
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"""Fetch all supplementary data for a single school URN."""
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result = {}
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def _census_dict(pc) -> dict:
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return {
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"year": pc.year,
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"total_pupils": pc.total_pupils,
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"female_pupils": pc.female_pupils,
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"male_pupils": pc.male_pupils,
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"fsm_pct": pc.fsm_pct,
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"eal_pct": pc.eal_pct,
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}
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def safe_query(model, pk_field, latest_field=None):
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def _deprivation_dict(d) -> dict:
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return {
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"lsoa_code": d.lsoa_code,
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"idaci_score": d.idaci_score,
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"idaci_decile": d.idaci_decile,
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}
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def _finance_dict(f) -> dict:
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return {
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"year": f.year,
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"per_pupil_spend": f.per_pupil_spend,
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"staff_cost_pct": f.staff_cost_pct,
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"teacher_cost_pct": f.teacher_cost_pct,
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"support_staff_cost_pct": f.support_staff_cost_pct,
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"premises_cost_pct": f.premises_cost_pct,
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}
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def _empty_supplementary() -> dict:
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return {
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"ofsted": None,
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"census": None,
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"admissions": None,
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"admissions_history": [],
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"sen_detail": None,
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"phonics": None,
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"deprivation": None,
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"finance": None,
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}
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def get_supplementary_data_batch(db: Session, urns: list[int]) -> dict:
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"""Fetch supplementary data for many URNs with one query per table
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(WHERE urn IN (...)) instead of ~5 queries per school, collapsing the
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per-request round-trips from 5*N to a constant 5. Returns {urn: block}
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with the same shape get_supplementary_data produces per URN.
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Each table is queried independently and failures degrade that table to
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empty for every URN — a missing mart never blanks the others.
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"""
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urns = [int(u) for u in urns]
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result = {urn: _empty_supplementary() for urn in urns}
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if not urns:
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return result
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def _safe(fn):
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try:
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q = db.query(model).filter(getattr(model, pk_field) == urn)
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if latest_field:
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q = q.order_by(getattr(model, latest_field).desc())
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return q.first()
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fn()
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except Exception as e:
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import logging
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logging.getLogger(__name__).error("safe_query failed for %s: %s", model.__name__, e)
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logging.getLogger(__name__).error("batch supplementary query failed: %s", e)
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db.rollback()
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return None
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# Latest Ofsted inspection
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o = safe_query(FactOfstedInspection, "urn", "inspection_date")
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result["ofsted"] = _ofsted_block(o, urn) if o else None
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# Census (latest year of fact_pupil_characteristics)
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pc = safe_query(FactPupilCharacteristics, "urn", "year")
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result["census"] = (
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{
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"year": pc.year,
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"total_pupils": pc.total_pupils,
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"female_pupils": pc.female_pupils,
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"male_pupils": pc.male_pupils,
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"fsm_pct": pc.fsm_pct,
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"eal_pct": pc.eal_pct,
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}
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if pc
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else None
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)
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# Admissions — all years, oldest first (for the multi-year trend view).
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try:
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admissions_rows = (
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db.query(FactAdmissions)
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.filter(FactAdmissions.urn == urn)
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.order_by(FactAdmissions.year.asc())
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# Ofsted — latest inspection per URN. Ordered so the first row seen per
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# URN is the most recent.
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def _ofsted():
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rows = (
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db.query(FactOfstedInspection)
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.filter(FactOfstedInspection.urn.in_(urns))
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.order_by(FactOfstedInspection.urn, FactOfstedInspection.inspection_date.desc())
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.all()
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)
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except Exception as e:
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import logging
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logging.getLogger(__name__).error("admissions history query failed: %s", e)
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db.rollback()
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admissions_rows = []
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seen = set()
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for o in rows:
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if o.urn in seen:
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continue
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seen.add(o.urn)
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result[o.urn]["ofsted"] = _ofsted_block(o, o.urn)
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_safe(_ofsted)
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history = [_admissions_row_dict(a) for a in admissions_rows]
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result["admissions_history"] = history
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# Keep the single latest-year object for backwards-compatible consumers
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# (hero chips, etc.).
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result["admissions"] = history[-1] if history else None
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# Census — latest year per URN.
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def _census():
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rows = (
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db.query(FactPupilCharacteristics)
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.filter(FactPupilCharacteristics.urn.in_(urns))
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.order_by(FactPupilCharacteristics.urn, FactPupilCharacteristics.year.desc())
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.all()
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)
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seen = set()
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for pc in rows:
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if pc.urn in seen:
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continue
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seen.add(pc.urn)
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result[pc.urn]["census"] = _census_dict(pc)
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_safe(_census)
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# SEN detail — not available in current marts
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result["sen_detail"] = None
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# Admissions — all years per URN, oldest first (multi-year trend view).
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def _admissions():
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rows = (
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db.query(FactAdmissions)
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.filter(FactAdmissions.urn.in_(urns))
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.order_by(FactAdmissions.urn, FactAdmissions.year.asc())
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.all()
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)
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history: dict = {urn: [] for urn in urns}
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for a in rows:
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history[a.urn].append(_admissions_row_dict(a))
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for urn, rows_for_urn in history.items():
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result[urn]["admissions_history"] = rows_for_urn
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result[urn]["admissions"] = rows_for_urn[-1] if rows_for_urn else None
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_safe(_admissions)
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# Phonics — no school-level data on EES
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result["phonics"] = None
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# Deprivation — one row per URN.
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def _deprivation():
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rows = (
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db.query(FactDeprivation)
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.filter(FactDeprivation.urn.in_(urns))
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.all()
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)
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for d in rows:
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result[d.urn]["deprivation"] = _deprivation_dict(d)
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_safe(_deprivation)
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# Deprivation
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d = safe_query(FactDeprivation, "urn")
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result["deprivation"] = (
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{
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"lsoa_code": d.lsoa_code,
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"idaci_score": d.idaci_score,
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"idaci_decile": d.idaci_decile,
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}
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if d
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else None
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)
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# Finance (latest year)
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f = safe_query(FactFinance, "urn", "year")
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result["finance"] = (
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{
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"year": f.year,
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"per_pupil_spend": f.per_pupil_spend,
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"staff_cost_pct": f.staff_cost_pct,
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"teacher_cost_pct": f.teacher_cost_pct,
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"support_staff_cost_pct": f.support_staff_cost_pct,
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"premises_cost_pct": f.premises_cost_pct,
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}
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if f
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else None
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)
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# Finance — latest year per URN.
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def _finance():
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rows = (
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db.query(FactFinance)
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.filter(FactFinance.urn.in_(urns))
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.order_by(FactFinance.urn, FactFinance.year.desc())
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.all()
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)
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seen = set()
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for f in rows:
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if f.urn in seen:
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continue
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seen.add(f.urn)
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result[f.urn]["finance"] = _finance_dict(f)
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_safe(_finance)
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return result
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def get_supplementary_data(db: Session, urn: int) -> dict:
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"""Supplementary data for a single URN (thin wrapper over the batch)."""
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return get_supplementary_data_batch(db, [urn])[int(urn)]
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