Commit Graph

4 Commits

Author SHA1 Message Date
root 1eae6fb6d4 feat(questions): make brand questions the primary monitoring & template axis
Deployment Config CI / Deployment Config (push) Successful in 29s
Frontend CI / Frontend (push) Successful in 4m4s
Backend CI / Backend (push) Failing after 7m12s
- 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>
2026-05-13 15:59:39 +08:00
root 37b0b32327 feat(admin-brand): add question expansion service and related functionality
- 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.
2026-05-12 21:53:36 +08:00
root 01fa2b8309 fix quota reset reservation race
Desktop Client Build / Resolve Build Metadata (push) Successful in 28s
Frontend CI / Frontend (push) Successful in 3m57s
Backend CI / Backend (push) Successful in 17m3s
Desktop Client Build / Build Desktop Client (push) Successful in 26m8s
Desktop Client Build / Publish Client Artifacts to NAS (push) Successful in 51s
2026-05-12 02:24:57 +08:00
root e307a048d1 feat(server): meter AI point usage across tenant AI features
Adds an ai_point_usage_logs ledger and a reserve/refund/complete pipeline
that charges AI points for article selection optimize, template analyze
/title/outline, and KOL prompt generate/optimize. Pending reservations
are reconciled when the kol-assist worker and template-assist tasks
finish or fail, so points refund automatically on errors. Workspace now
exposes the AI quota status and a paginated usage ledger.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-28 11:33:47 +08:00