Add RSS-backed subscription discovery

[120318]

Summary

• Add RSS-backed subscription resource discovery with scheduled search backfill cadence.
• Track subscription active-search timestamps and add migration coverage for the new cadence field.
• Refine notification/event boundaries, Telegram rendering, media execution snapshot usage, and related frontend flows.
• Move the development compose baseline to docker-compose.dev.yml with override support and Docker log rotation defaults.

Validation

• ./scripts/review_with_gates.sh
  • Backend quality checks passed.
  • Backend tests: 227 passed, 50 deselected.
  • Frontend quality, lint, and production build passed.

Runtime Evidence

• Recent subscription downloads for tmdb:tv:153869 and tmdb:tv:233295 were confirmed from RSS sweep logs with search_run=0 and queued=2.

[chatgpt-codex-connector]

💡 Codex Review

Aethera/backend/app/clients/prowlarr.py

Lines 407 to 409 in e7e7e9f

	search_param == "q"
	and capabilities.supports_search
	and self._search_type_supports_param("search", search_param, capabilities)

允许 ID 模式回退到通用 Torznab 搜索

对于只在通用 search 能力中声明 imdbid/doubanid、但没有 TV 专用搜索的 Prowlarr 站点，这个回退分支只有 search_param == "q" 才会使用 t=search，所以资源搜索构建出的 ID 模式会返回 None 并被跳过；这会把本来精确的 ID 匹配降级为标题匹配，甚至在站点禁用标题搜索时完全搜不到。电影分支也有同样条件。

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[chatgpt-codex-connector]

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 3fa896c720

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".