feat(pipeline): add legacy KS4 backfill (2015/16–2018/19)
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Mirrors the existing legacy KS2 pattern to fill the gap before EES hosted
KS4 data. Four files changed:

- tap-uk-ees: LegacyKS4Stream downloads each year's DfE Compare School
  Performance ZIP, extracts england_ks4final.csv, maps 416 legacy columns
  to Singer fields, strips % suffixes. Registered in discover_streams().
  TapUKEES.config_jsonschema gains legacy_ks4_urls setting.

- stg_legacy_ks4.sql: safe_numeric casts + NULL placeholders for columns
  not present in legacy format (ebacc_avg_score, gcse_grade_91_pct,
  prior_attainment_avg, sen_pct).

- int_ks4_with_lineage.sql: adds all_ks4 CTE unioning stg_ees_ks4 and
  stg_legacy_ks4, matching the int_ks2_with_lineage pattern.

- _stg_sources.yml + meltano.yml: source declaration and setting definition
  for legacy_ks4. URLs configured per-year once provided.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Tudor Sitaru
2026-04-16 10:37:24 +01:00
parent 3401654ab9
commit 7e6ded29e2
5 changed files with 206 additions and 6 deletions
+3
View File
@@ -26,6 +26,9 @@ plugins:
- name: legacy_ks2_urls
kind: object
description: "Year code → URL mapping for legacy KS2 CSVs"
- name: legacy_ks4_urls
kind: object
description: "Year code → URL mapping for legacy KS4 ZIPs (england_ks4final.csv inside)"
config:
legacy_ks2_urls:
"201516": "http://10.0.1.224:8081/filebrowser/api/public/dl/R9jjXFWa?inline=true"
@@ -712,6 +712,138 @@ class LegacyKS2Stream(Stream):
yield record
# ── Legacy KS4 (pre-EES wide format from DfE performance tables) ──────────────
# The DfE "Compare School Performance" ZIPs include england_ks4final.csv in a
# wide format (one row per school, ~416 columns, uppercase abbreviated names).
# EES only hosts 2 years of KS4 data; this stream backfills 2015-16 to 2018-19.
# Column mapping: old DfE CSV column → Singer field name (matches stg output).
_LEGACY_KS4_COLUMN_MAP = {
"URN": "urn",
"TPUP": "total_pupils",
# Attainment 8
"ATT8SCR": "attainment_8_score",
# Progress 8
"P8MEA": "progress_8_score",
"P8CILOW": "progress_8_lower_ci",
"P8CIUPP": "progress_8_upper_ci",
"P8MEAENG": "progress_8_english",
"P8MEAMAT": "progress_8_maths",
"P8MEAEBAC": "progress_8_ebacc",
"P8MEAOPEN": "progress_8_open",
# English & Maths pass rates (% suffix stripped at extract time)
"PTL2BASICS_95": "english_maths_strong_pass_pct",
"PTL2BASICS_94": "english_maths_standard_pass_pct",
# EBacc
"PTEBACC_E_PTQ_EE": "ebacc_entry_pct",
"PTEBACC_95": "ebacc_strong_pass_pct",
"PTEBACC_94": "ebacc_standard_pass_pct",
# Context
"PSENSE4": "sen_ehcp_pct",
"PSENAPK4": "sen_support_pct",
}
class LegacyKS4Stream(Stream):
"""Stream for pre-EES KS4 data from DfE 'Compare School Performance' ZIPs.
Downloads ZIPs from URLs configured in legacy_ks4_urls (a mapping of
6-digit year code → download URL), extracts england_ks4final.csv from each,
maps old DfE column names to match stg_ees_ks4 output schema, and emits
one record per school per year. The % suffix present on percentage columns
(e.g. "39.60%") is stripped here so safe_numeric in dbt can cast cleanly.
"""
name = "legacy_ks4"
primary_keys = ["urn", "year"]
replication_key = None
schema = th.PropertiesList(
th.Property("urn", th.StringType, required=True),
th.Property("year", th.StringType, required=True),
th.Property("total_pupils", th.StringType),
th.Property("attainment_8_score", th.StringType),
th.Property("progress_8_score", th.StringType),
th.Property("progress_8_lower_ci", th.StringType),
th.Property("progress_8_upper_ci", th.StringType),
th.Property("progress_8_english", th.StringType),
th.Property("progress_8_maths", th.StringType),
th.Property("progress_8_ebacc", th.StringType),
th.Property("progress_8_open", th.StringType),
th.Property("english_maths_strong_pass_pct", th.StringType),
th.Property("english_maths_standard_pass_pct", th.StringType),
th.Property("ebacc_entry_pct", th.StringType),
th.Property("ebacc_strong_pass_pct", th.StringType),
th.Property("ebacc_standard_pass_pct", th.StringType),
th.Property("sen_ehcp_pct", th.StringType),
th.Property("sen_support_pct", th.StringType),
).to_dict()
def get_records(self, context):
import pandas as pd
url_map = self.config.get("legacy_ks4_urls", {})
if not url_map:
self.logger.warning("legacy_ks4_urls not configured, skipping legacy KS4")
return
self.logger.info("Loading legacy KS4 for %d year(s)", len(url_map))
for year_code, url in url_map.items():
self.logger.info("Downloading %s for %s", url, year_code)
try:
resp = requests.get(url, timeout=120)
resp.raise_for_status()
except Exception as e:
self.logger.warning("Failed to download %s: %s", url, e)
continue
try:
zf = zipfile.ZipFile(io.BytesIO(resp.content))
except zipfile.BadZipFile as e:
self.logger.warning("Not a ZIP for %s: %s", year_code, e)
continue
# Find england_ks4final.csv inside the ZIP
target = next(
(n for n in zf.namelist() if "ks4final" in n.lower() and n.endswith(".csv")),
None,
)
if not target:
self.logger.warning("england_ks4final.csv not found in ZIP for %s", year_code)
continue
with zf.open(target) as f:
df = pd.read_csv(
f,
dtype=str,
keep_default_na=False,
encoding="latin-1",
)
# Strip BOM from first column name
cols = list(df.columns)
if cols:
cols[0] = cols[0].lstrip("\ufeff").lstrip("")
df.columns = cols
# Filter to school-level rows: URN must be a plain integer
if "URN" in df.columns:
df = df[df["URN"].str.match(r"^\d+$", na=False)]
self.logger.info("Emitting %d schools for %s", len(df), year_code)
for _, row in df.iterrows():
record = {"year": year_code}
for old_col, new_col in _LEGACY_KS4_COLUMN_MAP.items():
val = row.get(old_col, "")
# Strip % suffix — legacy DfE CSVs use "39.60%" not "39.60"
if isinstance(val, str) and val.endswith("%"):
val = val[:-1]
record[new_col] = val
yield record
class TapUKEES(Tap):
"""Singer tap for UK Explore Education Statistics."""
@@ -730,6 +862,11 @@ class TapUKEES(Tap):
th.ObjectType(),
description="Mapping of 6-digit year code to download URL for legacy KS2 CSVs (e.g. {\"201819\": \"https://...\"})",
),
th.Property(
"legacy_ks4_urls",
th.ObjectType(),
description="Mapping of 6-digit year code to download URL for legacy KS4 ZIPs (e.g. {\"201819\": \"https://...\"})",
),
).to_dict()
def discover_streams(self):
@@ -741,6 +878,7 @@ class TapUKEES(Tap):
EESCensusStream(self),
EESAdmissionsStream(self),
LegacyKS2Stream(self),
LegacyKS4Stream(self),
EESKs2NationalStream(self),
]
@@ -1,6 +1,13 @@
-- Intermediate model: KS4 data chained across academy conversions
-- Unions EES (2023/24 onwards) and legacy (2015/162018/19) school-level data
with current_ks4 as (
with all_ks4 as (
select * from {{ ref('stg_ees_ks4') }}
union all
select * from {{ ref('stg_legacy_ks4') }}
),
current_ks4 as (
select
urn as current_urn,
urn as source_urn,
@@ -11,8 +18,8 @@ with current_ks4 as (
english_maths_strong_pass_pct, english_maths_standard_pass_pct,
ebacc_entry_pct, ebacc_strong_pass_pct, ebacc_standard_pass_pct, ebacc_avg_score,
gcse_grade_91_pct,
sen_pct, sen_ehcp_pct, sen_support_pct
from {{ ref('stg_ees_ks4') }}
sen_pct, sen_support_pct, sen_ehcp_pct
from all_ks4
),
predecessor_ks4 as (
@@ -27,12 +34,12 @@ predecessor_ks4 as (
ks4.english_maths_strong_pass_pct, ks4.english_maths_standard_pass_pct,
ks4.ebacc_entry_pct, ks4.ebacc_strong_pass_pct, ks4.ebacc_standard_pass_pct, ks4.ebacc_avg_score,
ks4.gcse_grade_91_pct,
ks4.sen_pct, ks4.sen_ehcp_pct, ks4.sen_support_pct
from {{ ref('stg_ees_ks4') }} ks4
ks4.sen_pct, ks4.sen_support_pct, ks4.sen_ehcp_pct
from all_ks4 ks4
inner join {{ ref('int_school_lineage') }} lin
on ks4.urn = lin.predecessor_urn
where not exists (
select 1 from {{ ref('stg_ees_ks4') }} curr
select 1 from all_ks4 curr
where curr.urn = lin.current_urn
and curr.year = ks4.year
)
@@ -39,6 +39,9 @@ sources:
- name: ees_ks4_info
description: KS4 school information (wide format — context/demographics per school)
- name: legacy_ks4
description: Pre-EES KS4 school-level data (2015/162018/19) from DfE Compare School Performance ZIPs
- name: ees_census
description: School census pupil characteristics
@@ -0,0 +1,49 @@
{{ config(materialized='table') }}
-- Staging model: Legacy KS4 data from pre-EES DfE performance tables
-- Covers 2015/16 2018/19; EES provides 2023/24 onwards.
-- The tap already maps old column names and strips % suffixes;
-- this model just applies safe_numeric casts and adds NULL placeholders
-- for columns not available in the legacy format.
select
cast(trim(urn) as integer) as urn,
cast(trim(year) as integer) as year,
{{ safe_numeric('total_pupils') }}::integer as total_pupils,
{{ safe_numeric('total_pupils') }}::integer as eligible_pupils,
null::numeric as prior_attainment_avg,
-- Attainment 8
{{ safe_numeric('attainment_8_score') }} as attainment_8_score,
-- Progress 8
{{ safe_numeric('progress_8_score') }} as progress_8_score,
{{ safe_numeric('progress_8_lower_ci') }} as progress_8_lower_ci,
{{ safe_numeric('progress_8_upper_ci') }} as progress_8_upper_ci,
{{ safe_numeric('progress_8_english') }} as progress_8_english,
{{ safe_numeric('progress_8_maths') }} as progress_8_maths,
{{ safe_numeric('progress_8_ebacc') }} as progress_8_ebacc,
{{ safe_numeric('progress_8_open') }} as progress_8_open,
-- English & Maths pass rates
{{ safe_numeric('english_maths_strong_pass_pct') }} as english_maths_strong_pass_pct,
{{ safe_numeric('english_maths_standard_pass_pct') }} as english_maths_standard_pass_pct,
-- EBacc
{{ safe_numeric('ebacc_entry_pct') }} as ebacc_entry_pct,
{{ safe_numeric('ebacc_strong_pass_pct') }} as ebacc_strong_pass_pct,
{{ safe_numeric('ebacc_standard_pass_pct') }} as ebacc_standard_pass_pct,
null::numeric as ebacc_avg_score,
-- GCSE grade 9-1 (not published in legacy format)
null::numeric as gcse_grade_91_pct,
-- SEN
null::numeric as sen_pct,
{{ safe_numeric('sen_support_pct') }} as sen_support_pct,
{{ safe_numeric('sen_ehcp_pct') }} as sen_ehcp_pct
from {{ source('raw', 'legacy_ks4') }}
where urn is not null
and urn ~ '^[0-9]+$'