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Replaces the hand-rolled integrator with a production-grade ELT pipeline using Meltano (Singer taps), dbt Core (medallion architecture), and Apache Airflow (orchestration). Adds Typesense for search and PostGIS for geospatial queries. - 6 custom Singer taps (GIAS, EES, Ofsted, Parent View, FBIT, IDACI) - dbt project: 12 staging, 5 intermediate, 12 mart models - 3 Airflow DAGs (daily/monthly/annual schedules) - Typesense sync + batch geocoding scripts - docker-compose: add Airflow, Typesense; upgrade to PostGIS - Portainer stack definition matching live deployment topology Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
14 lines
600 B
SQL
14 lines
600 B
SQL
-- Macro: Parse Ofsted grade from various text/numeric representations
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{% macro parse_ofsted_grade(column) %}
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case
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when {{ column }}::text in ('1', 'Outstanding') then 1
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when {{ column }}::text in ('2', 'Good') then 2
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when {{ column }}::text in ('3', 'Requires improvement', 'Requires Improvement', 'Satisfactory') then 3
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when {{ column }}::text in ('4', 'Inadequate') then 4
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when {{ column }}::text in ('9', 'SWK', 'Serious Weaknesses') then 4
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when {{ column }}::text in ('SM', 'Special Measures') then 4
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else null
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end
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{% endmacro %}
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