67c048485b
Phase 1A — KC=F Coffee Futures Prices: - New extract/coffee_prices/ package (yfinance): downloads KC=F daily OHLCV, stores as gzip CSV with SHA256-based idempotency - SQLMesh models: raw/coffee_prices → foundation/fct_coffee_prices → serving/coffee_prices (with 20d/50d SMA, 52-week high/low, daily return %) - Dashboard: 4 metric cards + dual-line chart (close, 20d MA, 50d MA) - API: GET /commodities/<ticker>/prices Phase 1B — Data Methodology Page: - New /methodology route with full-page template (base.html) - 6 anchored sections: USDA PSD, CFTC COT, KC=F price, ICE warehouse stocks, data quality model, update schedule table - "Methodology" link added to marketing footer Phase 1C — Automated Pipeline: - supervisor.sh updated: runs extract_cot, extract_prices, extract_ice in sequence before transform - Webhook failure alerting via ALERT_WEBHOOK_URL env var (ntfy/Slack/Telegram) ICE Warehouse Stocks: - New extract/ice_stocks/ package (niquests): normalizes ICE Report Center CSV to canonical schema, hash-based idempotency, soft-fail on 404 with guidance - SQLMesh models: raw/ice_warehouse_stocks → foundation/fct_ice_warehouse_stocks → serving/ice_warehouse_stocks (30d avg, WoW change, 52w drawdown) - Dashboard: 4 metric cards + line chart (certified bags + 30d avg) - API: GET /commodities/<code>/stocks Foundation: - dim_commodity: added ticker (KC=F) and ice_stock_report_code (COFFEE-C) columns - macros/__init__.py: added prices_glob() and ice_stocks_glob() - pipelines.py: added extract_prices and extract_ice entries Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
47 lines
1.0 KiB
SQL
47 lines
1.0 KiB
SQL
-- Raw KC=F Coffee C futures prices — technical ingestion layer.
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--
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-- Reads daily OHLCV gzip CSVs from the landing directory. All values are
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-- varchar; casting happens in foundation.fct_coffee_prices.
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--
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-- Source: Yahoo Finance via yfinance (KC=F ticker)
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-- Coverage: 1971-present (historical futures data)
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-- Frequency: daily (trading days only)
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MODEL (
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name raw.coffee_prices,
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kind FULL,
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grain (Date),
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cron '@daily',
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columns (
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Date varchar,
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Open varchar,
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High varchar,
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Low varchar,
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Close varchar,
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Adj_Close varchar,
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Volume varchar,
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filename varchar
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)
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);
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SELECT
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"Date" AS Date,
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"Open" AS Open,
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"High" AS High,
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"Low" AS Low,
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"Close" AS Close,
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"Adj Close" AS Adj_Close,
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"Volume" AS Volume,
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filename
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FROM read_csv(
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@prices_glob(),
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delim = ',',
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encoding = 'utf-8',
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compression = 'gzip',
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header = true,
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union_by_name = true,
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filename = true,
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all_varchar = true,
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ignore_errors = true
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)
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