Add Phase 1A-C + ICE warehouse stocks: prices, methodology, pipeline automation
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>
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@@ -15,3 +15,17 @@ def cot_glob(evaluator) -> str:
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"""Return a quoted glob path for all COT CSV gzip files under LANDING_DIR."""
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landing_dir = evaluator.var("LANDING_DIR") or os.environ.get("LANDING_DIR", "data/landing")
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return f"'{landing_dir}/cot/**/*.csv.gzip'"
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@macro()
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def prices_glob(evaluator) -> str:
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"""Return a quoted glob path for all coffee price CSV gzip files under LANDING_DIR."""
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landing_dir = evaluator.var("LANDING_DIR") or os.environ.get("LANDING_DIR", "data/landing")
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return f"'{landing_dir}/prices/coffee_kc/**/*.csv.gzip'"
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@macro()
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def ice_stocks_glob(evaluator) -> str:
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"""Return a quoted glob path for all ICE warehouse stock CSV gzip files under LANDING_DIR."""
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landing_dir = evaluator.var("LANDING_DIR") or os.environ.get("LANDING_DIR", "data/landing")
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return f"'{landing_dir}/ice_stocks/**/*.csv.gzip'"
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