Reject AI seed topics shorter than 2 characters on both client and server with
a dedicated invalid_seed_topic error code, and render an inline hint listing
the offending terms so users know exactly what to fix.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Search terms like "全屋定制" or "GEO排名优化" were rejected as invalid because
both the Vue candidate validator and the Go question_metadata classifier
required interrogative cues (什么/如何/为什么/...). Lexicon entries are search
terms, not questions, so require only letters or digits plus the existing
4-char minimum. Rename helpers to searchTermLooksValid/questionLooksValid
to reflect the looser semantics, and relabel the navigation entry from
"公司和词库" to "品牌和词库" to match the actual domain.
- Shrink desktop presence TTL to 30s and heartbeat to 15s so unexpected
client exits surface within one TTL even if the explicit offline call
is missed; keep migration default aligned.
- Trust a known presence miss in resolveDesktopClientOnline instead of
falling back to the recent-heartbeat heuristic, so a still-cached
LastSeenAt cannot mask an offline client.
- Release the runtime session before clearing renderer desktop sessions
on shutdown to avoid leaving stale leases behind.
- Auto-refresh the MediaView account list every 5s and revamp card
layout (inline platform badge, status tags, UID row, meta box).
- Let the brand-question AI wizard accept multiple seed topics via a
tag-style input; candidates from each topic are merged and deduped.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- add /questions/combination-fill endpoint with AI-driven, IP-region-aware matrix fill
- extract ip2region resolver from ops/app into shared/ipregion for cross-service use
- thread question_id filter through dashboard composite, citation summary, and collect-now
- switch template wizard from keyword inputs to brand-question selection (primary + supplemental)
- pass brand_question and supplemental_questions through assist/title/outline prompts
- add AiWaitingModal + 45s client timeout and request_timeout error mapping for long AI flows
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Implemented QuestionExpansionService for generating and materializing questions based on combinations and AI distillation.
- Added question metadata classification logic to infer intent and layer of questions.
- Created API handlers for question expansion operations including combination preview, AI distillation, metadata classification, and materialization.
- Introduced database migrations to support new question-related fields and constraints in brand_questions and brand_keywords tables.
- Added caching mechanism for AI distillation results to improve performance.
- Defined JSON schemas for question distillation responses to ensure data integrity.
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