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有时候各种源的频道名字不一样,和通用的epg好难配对 ,能否加上批量自动规整功能? 例如:
CCTV1:CCTV1#CCTV1综合#CCTV-1综合#CCTV-1#CCTV1HD#CCTV1高清#CCTV1综合HD#CCTV1综合高清#CCTV-1综合HD#CCTV-1综合高清#CCTV-1HD#CCTV-1高清
CCTV2:CCTV2#CCTV2财经#CCTV-2财经#CCTV-2#CCTV2HD#CCTV2高清#CCTV2财经HD#CCTV2财经高清#CCTV-2财经HD#CCTV-2财经高清#CCTV-2HD#CCTV-2高清 ...
Context
Phase A shipped in dp-relay v0.4.0 (deployed to brennan.games): a passive analytics tap that captures a structured,
PII-minimised event per player action (joins, deaths, advancements, sessions, ...
Idea stage. A separate CONSUMER (B2C) app — the least related to the Plume salon/scheduling engine of the ideas so far
(cf. travel #418, HOA #419). Captured during a multi-vertical session; this one is ...
feature
Notes — patterns tier · The Loop 2.0 Main Library
Figma node: 26642-61530 OutSystems UI mapping: .callout / .alert (TBD) — Inline note/callout (confirm native vs custom)
(restyle for max reuse) Structure: ...
component
needs-template
to-build
Popover — patterns tier · The Loop 2.0 Main Library
Figma node: 26345-2762 OutSystems UI mapping: [data-popover] / .popover — Popover widget (restyle for max reuse)
Structure: ⚠️ Pattern DOM not in outsystems-widgets-reference/ ...
component
needs-template
to-build
System Alert — patterns tier · The Loop 2.0 Main Library
Figma node: 17873-7603 OutSystems UI mapping: .notification / [data-notification] — Notification pattern (app-level
banner) (restyle for max reuse) ...
component
needs-template
to-build
Review Pull Requests
img alt= original github octocat src= https://octodex.github.com/images/original.png align= left height= 80px /
👋 Hey there @Anthony59Ruiz! Welcome to your Skills exercise!
Let ...
The icons lack clarity and distinctiveness, and the interface color blocks have insufficient contrast, resulting in a
weak visual impact.
목표
운영기관 담당 시스템이 접근성 시설 현황 리포트 데이터를 JSON API로 조회할 수 있게 한다.
대상 영역
- backend operator API
- /operator/** 보안 영역
- 접근성 시설/데이터 품질 리포트 응답 모델
배경
운영기관 접근성 시설 현황 화면은 제공되지만, B2G/B2B 협업에서 다른 보고 도구나 내부 시스템이 ...
enhancement
The top-level eval — the one that says whether Kindred is actually good. Distinct from the four stage datasets (#13 Map,
#15 Fetch, #18 Enrich, #19 Select), which are the diagnostic layer (where a failure ...

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