fix(pipeline): include 2015/16 national averages
Widen the year filter in stg_ees_ks2_national.sql from >= 201617 to >= 201516 so the England national-averages line no longer starts a year late; the catalogue CSV has a real, comparable 201516 row (2015/16 was the first year of the current expected-standard tests, so it's the correct floor). GPS/science/scaled-score national columns confirmed present at source with correct mapping; prod NULLs are stale raw data, backfilled by the next extract run. No _KS2_NATIONAL_COL_MAP change accompanies this fix. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
This commit is contained in:
@@ -31,4 +31,10 @@ select
|
|||||||
|
|
||||||
from {{ source('raw', 'ees_ks2_national') }}
|
from {{ source('raw', 'ees_ks2_national') }}
|
||||||
where time_period ~ '^[0-9]+$'
|
where time_period ~ '^[0-9]+$'
|
||||||
and cast(trim(time_period) as integer) >= 201617
|
-- 2015/16 was the first year of the current expected-standard tests, so it's
|
||||||
|
-- the correct floor (not 2016/17 -- that excluded a real, comparable national
|
||||||
|
-- row). GPS/science/scaled-score columns are already mapped correctly end to
|
||||||
|
-- end (tap.py's _KS2_NATIONAL_COL_MAP + this model select them fine); the
|
||||||
|
-- prod NULLs for those fields are stale raw.ees_ks2_national data from before
|
||||||
|
-- the map covered them, not a mapping bug -- no map change accompanies this fix.
|
||||||
|
and cast(trim(time_period) as integer) >= 201516
|
||||||
|
|||||||
Reference in New Issue
Block a user