0a83b2cb74
- New extraction package (cftc_cot): downloads yearly Disaggregated Futures ZIPs from CFTC, etag-based dedup, dynamic inner filename discovery, gzip normalization - SQLMesh 3-layer architecture: raw (technical) → foundation (business model) → serving (mart) - dim_commodity seed: conformed dimension mapping USDA ↔ CFTC codes — the commodity ontology - fct_cot_positioning: typed, deduplicated weekly positioning facts for all commodities - obt_cot_positioning: Coffee C mart with COT Index (26w/52w), WoW delta, OI ratios - Analytics functions + REST API endpoints: /commodities/<code>/positioning[/latest] - Dashboard widget: Managed Money net, COT Index card, dual-axis Chart.js chart - 23 passing tests (10 unit + 2 SQLMesh model + existing regression suite) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
25 lines
804 B
SQL
25 lines
804 B
SQL
-- Commodity dimension: conforms identifiers across source systems.
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--
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-- This is the ontology seed. Each row is a commodity tracked by BeanFlows.
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-- As new sources are added (ICO, futures prices, satellite), their
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-- commodity identifiers are added as columns here — not as separate tables.
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-- As new commodities are added (cocoa, sugar), rows are added here.
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--
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-- References:
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-- usda_commodity_code → raw.psd_alldata.commodity_code
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-- cftc_commodity_code → raw.cot_disaggregated.cftc_commodity_code
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MODEL (
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name foundation.dim_commodity,
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kind SEED (
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path '$root/seeds/dim_commodity.csv',
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csv_settings (delimiter = ';')
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),
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columns (
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usda_commodity_code varchar,
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cftc_commodity_code varchar,
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commodity_name varchar,
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commodity_group varchar
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)
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);
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