feat: Supply Chain + Consumer Demand Intelligence (cross-industry exp… - #16
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…ansion #2 and #3) Closes out the 3-part cross-industry expansion (real estate was #1, shipped 2026-08-30). Both new modules follow the same pattern as real_estate_service.py: FRED national indicators paired with an explicit ticker map of names/sectors with a real, direct linkage -- None for any unmapped ticker, never a fabricated reading. - services/supply_chain_service.py: inventory/sales ratio, manufacturing new orders, durable goods orders, industrial production, manufacturing employment -- mapped to freight carriers, railroads, logistics, and 2 transportation ETFs. New GET /v1/supply-chain/{ticker}. - services/consumer_demand_service.py: retail sales, personal consumption expenditures, durable goods consumption -- mapped to large retailers, e-commerce, and 2 consumer-discretionary ETFs. New GET /v1/consumer-demand/{ticker}. Deliberately NOT Google Trends search-interest data -- no officially licensed, commercial-use-safe search-trends API exists (see that module's docstring); real FRED consumer-spending data is a more reliable proxy for the same question at zero legal risk. Also explicitly excludes UMCSENT (University of Michigan Consumer Sentiment) despite being on FRED, since it carries a third-party copyright notice per FRED's own terms -- verified by direct fetch of fred.stlouisfed.org/series/UMCSENT before excluding it. All FRED series IDs verified live via direct fetch of their FRED series pages before use (ISRATIO, AMTMNO, DGORDER, IPMAN, MANEMP, RSAFS, RSXFS, PCE, PCEDG) -- all Census Bureau/BEA sourced, 'Public Domain: Citation Requested', no third-party copyright marker. Also: wired both into intelligence status, changelog, PUBLIC_INTEL_PATHS, quota weights (2 each, same tier as real_estate/agriculture/energy), and 2 new scheduler pre-warm jobs (03:20, 03:25 UTC).
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real-estate shipped 2026-08-30 without doc/SDK coverage; closing that gap together with the two endpoints in this same branch. - intelligence-api.html: 3 new endpoint cards (schema docs, response fields, coverage lists) + 3 new try-it-now console options. - services/i18n.py: 9 new i18n keys x 47 languages (ia_ep18/19/20 name+desc, 3 schema notes) -- English text in every language block, matching this file's existing convention that developer-facing API doc strings (ia_ prefix) stay English-only, unlike the consumer-app strings that got full per-language translation in the mixed-language audit. - sdk/python + sdk/js: real_estate()/realEstate(), supply_chain()/ supplyChain(), consumer_demand()/consumerDemand() methods, same shape as the existing agriculture()/energy() methods.
Found while proposing promotion next steps -- the count was stale since before this session even started (already ~20 endpoints, said seven). Updated the static HTML default, the English i18n entry, and the 3 Chinese variants (zh-TW/zh-HK/zh-CN, AJ's primary audience). The other 44 languages' ia_hero_p still say 'Seven ...' in their own language -- known gap, not silently left unflagged; full retranslation to match is a separate follow-up if wanted, out of scope for this pass.
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…ansion #2 and #3)
Closes out the 3-part cross-industry expansion (real estate was #1, shipped 2026-08-30). Both new modules follow the same pattern as real_estate_service.py: FRED national indicators paired with an explicit ticker map of names/sectors with a real, direct linkage -- None for any unmapped ticker, never a fabricated reading.
services/supply_chain_service.py: inventory/sales ratio, manufacturing new orders, durable goods orders, industrial production, manufacturing employment -- mapped to freight carriers, railroads, logistics, and 2 transportation ETFs. New GET /v1/supply-chain/{ticker}.
services/consumer_demand_service.py: retail sales, personal consumption expenditures, durable goods consumption -- mapped to large retailers, e-commerce, and 2 consumer-discretionary ETFs. New GET /v1/consumer-demand/{ticker}. Deliberately NOT Google Trends search-interest data -- no officially licensed, commercial-use-safe search-trends API exists (see that module's docstring); real FRED consumer-spending data is a more reliable proxy for the same question at zero legal risk. Also explicitly excludes UMCSENT (University of Michigan Consumer Sentiment) despite being on FRED, since it carries a third-party copyright notice per FRED's own terms -- verified by direct fetch of fred.stlouisfed.org/series/UMCSENT before excluding it.
All FRED series IDs verified live via direct fetch of their FRED series pages before use (ISRATIO, AMTMNO, DGORDER, IPMAN, MANEMP, RSAFS, RSXFS, PCE, PCEDG) -- all Census Bureau/BEA sourced, 'Public Domain: Citation Requested', no third-party copyright marker.
Also: wired both into intelligence status, changelog, PUBLIC_INTEL_PATHS, quota weights (2 each, same tier as real_estate/agriculture/energy), and 2 new scheduler pre-warm jobs (03:20, 03:25 UTC).