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
This commit was merged in pull request #38.
This commit is contained in:
+4
-1
@@ -30,6 +30,7 @@ from .data_loader import (
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load_latest_school_data,
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geocode_single_postcode,
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get_supplementary_data,
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get_supplementary_data_batch,
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search_schools_typesense,
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)
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from .data_loader import get_data_info as get_db_info
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@@ -679,8 +680,10 @@ async def compare_schools(
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db = None
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try:
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db = database.SessionLocal()
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# One query per table for all schools, not ~5 queries per school.
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batch = get_supplementary_data_batch(db, urn_list)
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for urn in urn_list:
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supp = get_supplementary_data(db, urn)
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supp = batch.get(urn, {})
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supplementary_by_urn[urn] = {
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key: supp.get(key, default)
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for key, default in _EMPTY_SUPPLEMENTARY.items()
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+133
-75
@@ -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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@@ -67,7 +67,9 @@ def client(monkeypatch):
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monkeypatch.setattr(app_module, "load_school_data", _two_primary_schools_df)
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monkeypatch.setattr(
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app_module, "get_supplementary_data", lambda db, urn: dict(CANNED_SUPPLEMENTARY)
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app_module,
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"get_supplementary_data_batch",
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lambda db, urns: {int(u): dict(CANNED_SUPPLEMENTARY) for u in urns},
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)
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monkeypatch.setattr(database_module, "SessionLocal", _StubSession)
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return TestClient(app_module.app, raise_server_exceptions=False)
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@@ -102,10 +104,10 @@ def test_top_level_national_averages_and_benchmarks(client):
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def test_supplementary_failure_degrades_not_500(client, monkeypatch):
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from backend import app as app_module
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def _boom(db, urn):
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def _boom(db, urns):
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raise RuntimeError("marts unavailable")
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monkeypatch.setattr(app_module, "get_supplementary_data", _boom)
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monkeypatch.setattr(app_module, "get_supplementary_data_batch", _boom)
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resp = client.get("/api/compare?urns=100140")
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assert resp.status_code == 200
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school = resp.json()["comparison"]["100140"]
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@@ -0,0 +1,111 @@
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"""get_supplementary_data_batch fetches one query per table for all URNs
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(not ~5 per school) and returns the same per-URN block shape as the
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single-URN function, picking the latest row per URN where relevant."""
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import types
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from backend import data_loader
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from backend.data_loader import get_supplementary_data_batch
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class _FakeQuery:
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"""Records that a query ran and serves canned rows filtered by an in-list."""
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def __init__(self, recorder, model_name, rows):
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self._rec = recorder
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self._model = model_name
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self._rows = rows
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def filter(self, *args, **kwargs):
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return self
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def order_by(self, *args, **kwargs):
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return self
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def all(self):
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self._rec.append(self._model)
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return self._rows
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def first(self):
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self._rec.append(self._model)
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return self._rows[0] if self._rows else None
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class _FakeSession:
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def __init__(self, rows_by_model):
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self.rows_by_model = rows_by_model
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self.queries: list[str] = []
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def query(self, model):
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name = model.__name__
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return _FakeQuery(self.queries, name, self.rows_by_model.get(name, []))
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def rollback(self):
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pass
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def _ofsted_row(urn, date, oe):
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base = {f: None for f in (
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"framework", "inspection_type", "quality_of_education", "behaviour_attitudes",
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"personal_development", "leadership_management", "early_years_provision",
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"sixth_form_provision", "ungraded_outcome", "ungraded_grade",
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"rc_safeguarding_met", "rc_inclusion", "rc_curriculum_teaching", "rc_achievement",
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"rc_attendance_behaviour", "rc_personal_development", "rc_leadership_governance",
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"rc_early_years", "rc_sixth_form", "report_url",
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)}
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base.update(urn=urn, inspection_date=types.SimpleNamespace(isoformat=lambda: date),
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overall_effectiveness=oe, grade_source=None)
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return types.SimpleNamespace(**base)
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def _adm_row(urn, year):
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return types.SimpleNamespace(
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urn=urn, year=year, school_phase="Primary", places_offered=100,
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total_applications=200, first_preference_applications=150,
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first_preference_offers=140, first_preference_offer_pct=93.3,
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oversubscription_ratio=1.5, oversubscribed=True,
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total_offers=100, second_preference_offers=5, third_preference_offers=2,
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cross_la_applications=10, cross_la_offers=3,
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)
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def test_one_query_per_table_and_latest_row_per_urn():
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rows = {
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# URN 1 has two Ofsted rows; the batch must keep the most recent (2023).
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"FactOfstedInspection": [
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_ofsted_row(1, "2023-01-01", 2),
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_ofsted_row(1, "2019-01-01", 3),
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_ofsted_row(2, "2021-06-01", 1),
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],
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"FactAdmissions": [_adm_row(1, 202526), _adm_row(1, 202627), _adm_row(2, 202627)],
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"FactPupilCharacteristics": [],
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"FactDeprivation": [],
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"FactFinance": [],
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}
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session = _FakeSession(rows)
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out = get_supplementary_data_batch(session, [1, 2])
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# Exactly one query per table — five total, regardless of two URNs.
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assert sorted(session.queries) == [
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"FactAdmissions", "FactDeprivation", "FactFinance",
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"FactOfstedInspection", "FactPupilCharacteristics",
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]
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# Latest Ofsted kept per URN
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assert out[1]["ofsted"]["overall_effectiveness"] == 2
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assert out[2]["ofsted"]["overall_effectiveness"] == 1
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# Admissions history grouped per URN, latest exposed as `admissions`
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assert [r["year"] for r in out[1]["admissions_history"]] == [202526, 202627]
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assert out[1]["admissions"]["year"] == 202627
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assert out[2]["admissions_history"] == [{**out[2]["admissions_history"][0]}]
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# Empty tables degrade to the null block, not a crash
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assert out[1]["census"] is None and out[1]["deprivation"] is None
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def test_single_wrapper_matches_batch(monkeypatch):
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session = _FakeSession({"FactOfstedInspection": [_ofsted_row(5, "2022-01-01", 2)]})
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single = data_loader.get_supplementary_data(session, 5)
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assert single["ofsted"]["overall_effectiveness"] == 2
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assert single["admissions_history"] == []
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