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A serverless, purely static single-page application (SPA). GitHub Actions periodically runs a Python data-processing script that pulls raw open data from the Taiwan Food and Drug Administration (TFDA), pre-fetches and cleanses it, and generates a lightweight static JSON cache. This architecture removes the physical limits of calling government APIs directly from the frontend — CORS restrictions, high network latency and browser out-of-memory (OOM) — and delivers millisecond-level client-side search. The interface is in Traditional Chinese.
Designed around the lookup pain points of clinical staff and the public, the frontend offers these engineering and UX advantages:
🚀 Millisecond search (in-memory): No API round trips. When the page loads, the lightweight JSON is cached locally, and all Chinese/English fuzzy searches complete instantly in memory — results appear as you type, with zero latency.
🔎 Name / ingredient / ATC search scope: Besides Chinese and English product names, you can switch to searching by ingredient, matched directly against the raw ingredients field, so AMLODIPINE also matches AMLODIPINE (AS BESYLATE). This covers brand names that don't contain the ingredient string (e.g. 「脈優」), and ingredient search returns a notably larger result set than name search. The default stays on "name" so that combination products of common ingredients such as ACETAMINOPHEN don't dilute name results.
🏷️ ATC code search: Prefix match against NHI ATC codes, for both finding a drug class and exact lookup: C09 lists the whole RAS class, while C09CA01 lists only losartan. Results come with an ATC group summary table (code / ingredient / product count); clicking a code narrows the cards to that group, so a whole class is visible despite the 30-card limit. Limitations:
N07CA) are not included in deeper queries — they may be a different drug in the same class. Only their count is shown.See docs/plan-atc-search.md.
🌐 US prescription label reference (openFDA): A collapsible section in each drug card. It matches openFDA US prescription drug labels by ingredient and route, and shows the verbatim Boxed Warning, pregnancy and lactation text of a representative label (NDA/BLA innovator labels first), with a DailyMed link.
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