Tudor
dd49ef28b2
Adds a full data integration pipeline for enriching school profiles with
supplementary data from Ofsted, GIAS, EES, IDACI, and FBIT.
Backend:
- Bump SCHEMA_VERSION to 3; add 8 new DB tables (ofsted_inspections,
ofsted_parent_view, school_census, admissions, sen_detail, phonics,
school_deprivation, school_finance) plus GIAS columns on schools
- Expose all supplementary data via GET /api/schools/{urn}
- Enrich school list responses with ofsted_grade + ofsted_date
Integrator (new service):
- FastAPI HTTP microservice; Kestra calls POST /run/{source}
- 9 source modules: ofsted, gias, parent_view, census, admissions,
sen_detail, phonics, idaci, finance
- 9 Kestra flow YAMLs with scheduled triggers and 3× retry
Frontend:
- SchoolRow: colour-coded Ofsted badge (Outstanding/Good/RI/Inadequate)
- SchoolDetailView: 7 new sections — Ofsted sub-judgements, Parent View
survey bars, Admissions, Pupils & Inclusion / SEN, Phonics, Deprivation
Context, Finances
- types.ts: 8 new interfaces + extended School/SchoolDetailsResponse
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
"""
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Shared EES (Explore Education Statistics) API client.
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Base URL: https://api.education.gov.uk/statistics/v1
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"""
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import sys
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from pathlib import Path
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from typing import Optional
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import requests
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API_BASE = "https://api.education.gov.uk/statistics/v1"
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TIMEOUT = 60
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def get_publication_files(publication_slug: str) -> list[dict]:
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"""Return list of data-set file descriptors for a publication."""
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url = f"{API_BASE}/publications/{publication_slug}/data-set-files"
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resp = requests.get(url, timeout=TIMEOUT)
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resp.raise_for_status()
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return resp.json().get("results", [])
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def get_latest_csv_url(publication_slug: str, keyword: str = "") -> Optional[str]:
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"""
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Find the most recent CSV download URL for a publication.
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Optionally filter by a keyword in the file name.
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"""
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files = get_publication_files(publication_slug)
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for entry in files:
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name = entry.get("name", "").lower()
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if keyword and keyword.lower() not in name:
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continue
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csv_url = entry.get("csvDownloadUrl") or entry.get("file", {}).get("url")
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if csv_url:
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return csv_url
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return None
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def download_csv(url: str, dest_path: Path) -> Path:
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"""Download a CSV from EES to dest_path."""
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if dest_path.exists():
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print(f" EES: {dest_path.name} already exists, skipping.")
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return dest_path
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print(f" EES: downloading {url} ...")
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resp = requests.get(url, timeout=300, stream=True)
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resp.raise_for_status()
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dest_path.parent.mkdir(parents=True, exist_ok=True)
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with open(dest_path, "wb") as f:
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for chunk in resp.iter_content(chunk_size=65536):
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f.write(chunk)
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print(f" EES: saved {dest_path} ({dest_path.stat().st_size // 1024} KB)")
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return dest_path
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