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fix(pipeline): build stg_ees_ks4_national in the annual EES DAG
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The DAG's dbt --select list predates the official-KS4-nationals stream,
so the extract loaded raw.ees_ks4_national but the staging model and
fact_ks4_national_averages were never rebuilt — staging kept serving the
old computed means after the DAG run.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
This commit is contained in:
Tudor
2026-07-17 14:15:11 +01:00
co-authored by Claude Fable 5
parent 64b63b96c8
commit 79246edc22
1 changed files with 1 additions and 1 deletions
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pipeline/dags/school_data_pipeline.py
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@@ -180,7 +180,7 @@ with DAG(
dbt_build_ees = BashOperator( dbt_build_ees = BashOperator(
task_id="dbt_build", task_id="dbt_build",
bash_command=f"cd {PIPELINE_DIR}/transform && {DBT_BIN} build --profiles-dir . --target production --select stg_ees_ks2+ stg_legacy_ks2+ stg_ees_ks4+ stg_legacy_ks4+ stg_ees_census+ stg_ees_admissions+ stg_ees_ks2_national+", bash_command=f"cd {PIPELINE_DIR}/transform && {DBT_BIN} build --profiles-dir . --target production --select stg_ees_ks2+ stg_legacy_ks2+ stg_ees_ks4+ stg_legacy_ks4+ stg_ees_census+ stg_ees_admissions+ stg_ees_ks2_national+ stg_ees_ks4_national+",
) )
sync_typesense_ees = BashOperator( sync_typesense_ees = BashOperator(