feat: GIAS code->name dictionaries generated from live bulk CSV

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Tudor
2026-07-09 10:38:19 +01:00
co-authored by Claude Fable 5
parent 08bd86db05
commit e188c2ff4b
5 changed files with 626 additions and 0 deletions
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"""GIAS code -> name dictionaries.
GENERATED by pipeline/scripts/generate_gias_codes.py from the GIAS bulk CSV
— do not edit by hand; rerun the script when the dbt drift test warns.
The canonical file is backend/gias_codes.py; pipeline/scripts/gias_codes.py
must be byte-identical (enforced by backend/tests/test_gias_codes.py).
"""
from __future__ import annotations
import logging
import math
logger = logging.getLogger(__name__)
SCHOOL_TYPE: dict[int, str] = {
1: "Community school",
2: "Voluntary aided school",
3: "Voluntary controlled school",
5: "Foundation school",
6: "City technology college",
7: "Community special school",
8: "Non-maintained special school",
10: "Other independent special school",
11: "Other independent school",
12: "Foundation special school",
14: "Pupil referral unit",
15: "Local authority nursery school",
18: "Further education",
24: "Secure units",
25: "Offshore schools",
26: "Service children's education",
27: "Miscellaneous",
28: "Academy sponsor led",
29: "Higher education institutions",
30: "Welsh establishment",
31: "Sixth form centres",
32: "Special post 16 institution",
33: "Academy special sponsor led",
34: "Academy converter",
35: "Free schools",
36: "Free schools special",
37: "British schools overseas",
38: "Free schools alternative provision",
39: "Free schools 16 to 19",
40: "University technical college",
41: "Studio schools",
42: "Academy alternative provision converter",
43: "Academy alternative provision sponsor led",
44: "Academy special converter",
45: "Academy 16-19 converter",
46: "Academy 16 to 19 sponsor led",
49: "Online provider",
56: "Institution funded by other government department",
57: "Academy secure 16 to 19",
}
ESTABLISHMENT_STATUS: dict[int, str] = {
1: "Open",
2: "Closed",
3: "Open, but proposed to close",
4: "Proposed to open",
}
PHASE_OF_EDUCATION: dict[int, str] = {
0: "Not applicable",
1: "Nursery",
2: "Primary",
3: "Middle deemed primary",
4: "Secondary",
5: "Middle deemed secondary",
6: "16 plus",
7: "All-through",
}
OFFICIAL_SIXTH_FORM: dict[int, str] = {
0: "Not applicable",
1: "Has a sixth form",
2: "Does not have a sixth form",
}
RELIGIOUS_CHARACTER: dict[int, str] = {
0: "Does not apply",
2: "Church of England",
3: "Roman Catholic",
4: "Methodist",
5: "Jewish",
6: "None",
7: "Muslim",
8: "Seventh Day Adventist",
9: "Church of England/Methodist",
10: "Methodist/Church of England",
11: "Church of England/Roman Catholic",
12: "Church of England/United Reformed Church",
13: "Roman Catholic/Church of England",
14: "Quaker",
15: "Christian",
16: "United Reformed Church",
17: "Congregational Church",
18: "Free Church",
19: "Church of England/Free Church",
20: "Church of England/Christian",
21: "Sikh",
22: "Greek Orthodox",
24: "Buddhist",
25: "Hindu",
26: "Moravian",
28: "Inter- / non- denominational",
29: "Multi-faith",
30: "Church of England/Methodist/United Reform Church/Baptist",
31: "Anglican",
32: "Anglican/Christian",
33: "Anglican/Evangelical",
34: "Anglican/Church of England",
35: "Catholic",
36: "Charadi Jewish",
37: "Christian/Evangelical",
38: "Christian Science",
39: "Christian/Methodist",
40: "Christian/non-denominational",
41: "Church of England/Evangelical",
42: "Islam",
43: "Orthodox Jewish",
44: "Plymouth Brethren Christian Church",
45: "Protestant",
46: "Protestant/Evangelical",
47: "Reformed Baptist",
48: "Roman Catholic/Anglican",
49: "Sunni Deobandi",
}
ADMISSIONS_POLICY: dict[int, str] = {
0: "Not applicable",
2: "Selective",
4: "Non-selective",
}
def translate(code, mapping: dict[int, str]) -> str | None:
"""Translate a GIAS code to its display name.
None/NaN -> None (column absent or suppressed). Unknown codes degrade to
"Unknown (<code>)" with a warning so a new DfE value never blanks the UI.
"""
if code is None or (isinstance(code, float) and math.isnan(code)):
return None
code = int(code)
if code not in mapping:
logger.warning("Unknown GIAS code %s (not in dictionary)", code)
return f"Unknown ({code})"
return mapping[code]
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"""Tests for the GIAS code->name dictionaries (spec 2026-07-09).
The dictionaries are generated from the live GIAS bulk CSV by
pipeline/scripts/generate_gias_codes.py — these tests assert the module's
contract, key sentinel values the marts/UI depend on, and that the pipeline
copy has not drifted from the canonical backend module.
"""
import math
from pathlib import Path
from backend.gias_codes import (
ADMISSIONS_POLICY,
ESTABLISHMENT_STATUS,
OFFICIAL_SIXTH_FORM,
PHASE_OF_EDUCATION,
RELIGIOUS_CHARACTER,
SCHOOL_TYPE,
translate,
)
REPO = Path(__file__).resolve().parents[2]
def test_translate_known_code():
open_code = next(c for c, n in ESTABLISHMENT_STATUS.items() if n == "Open")
assert translate(open_code, ESTABLISHMENT_STATUS) == "Open"
def test_translate_unknown_code_degrades_gracefully():
assert translate(9999, ESTABLISHMENT_STATUS) == "Unknown (9999)"
def test_translate_none_and_nan_return_none():
assert translate(None, ESTABLISHMENT_STATUS) is None
assert translate(float("nan"), ESTABLISHMENT_STATUS) is None
def test_translate_accepts_float_codes():
# pd.read_sql yields float columns when NULLs are present
open_code = next(c for c, n in ESTABLISHMENT_STATUS.items() if n == "Open")
assert translate(float(open_code), ESTABLISHMENT_STATUS) == "Open"
def test_sentinel_names_present():
"""Names the marts/UI compare against must exist verbatim."""
assert "Open" in ESTABLISHMENT_STATUS.values()
assert "Open, but proposed to close" in ESTABLISHMENT_STATUS.values()
assert "Has a sixth form" in OFFICIAL_SIXTH_FORM.values()
assert "Primary" in PHASE_OF_EDUCATION.values()
assert "Secondary" in PHASE_OF_EDUCATION.values()
assert "Does not apply" in RELIGIOUS_CHARACTER.values()
assert all(len(d) > 0 for d in (
SCHOOL_TYPE, ESTABLISHMENT_STATUS, PHASE_OF_EDUCATION,
OFFICIAL_SIXTH_FORM, RELIGIOUS_CHARACTER, ADMISSIONS_POLICY,
))
def test_pipeline_copy_is_identical():
canonical = (REPO / "backend" / "gias_codes.py").read_text()
copy = (REPO / "pipeline" / "scripts" / "gias_codes.py").read_text()
assert canonical == copy, (
"pipeline/scripts/gias_codes.py has drifted from backend/gias_codes.py — "
"regenerate with pipeline/scripts/generate_gias_codes.py and copy the file"
)
def test_seed_matches_dictionaries():
import csv
fields = {
"school_type": SCHOOL_TYPE,
"establishment_status": ESTABLISHMENT_STATUS,
"phase_of_education": PHASE_OF_EDUCATION,
"official_sixth_form": OFFICIAL_SIXTH_FORM,
"religious_character": RELIGIOUS_CHARACTER,
"admissions_policy": ADMISSIONS_POLICY,
}
seed_path = REPO / "pipeline" / "transform" / "seeds" / "gias_code_names.csv"
seed: dict[str, dict[int, str]] = {k: {} for k in fields}
with open(seed_path, newline="") as fh:
for row in csv.DictReader(fh):
seed[row["field"]][int(row["code"])] = row["name"]
assert seed == fields