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