Introduce 仿写创作: new list and create views, backend imitation service
and prompt templates, worker task routing for imitation jobs, and one-click
rewrite triggers from question citation sources. Surface source article
URL/title on article list/detail, and restrict failed articles to delete-only.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Skip article alias resolution and content-citation aggregates when the
platform is qwen, and hide the content-citation badge/meta in the
tracking detail view, since qwen's source URLs are not reliable enough
to map to brand articles.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Normalize provider_model so UI shows DeepSeek/DeepSeek-R1 instead of raw toggle text (联网搜索 etc.)
- Unwrap DeepSeek redirect URLs (chat.deepseek.com/api/redirect?url=...) to canonical sources
- Expand reasoning sections and separate reasoning search pages from answer-body citations
- Improve webpages-trigger click heuristics and auxiliary link filtering in answer rendering
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Dashboard and question-detail views now read platform_authorization_status
from the API. Tracking disables collect-now when the account has no
desktop client, no authorized platforms, or the selected platform is
unauthorized, and keeps the six-platform matrix stable; question-detail
replaces tabs and cards with an explicit unavailable notice when the
account is not authorized for monitoring. Adds the shared type and
en/zh strings covering each status.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- desktop: new DeepSeek page adapter and monitor registry
- desktop: extract generic AI auth helpers into shared module and
skip binding when challenge signals are present
- admin-web: render DeepSeek HTML answers with inline citation anchors
and surface reference-number badges on source cards
- server: fall back to inline_links/source_panel_links and read
text/siteName fields when extracting DeepSeek citations
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- drop brand_time_buckets and sparkline/coverage UI; dashboard now returns a single day
- compute mention rate from total actual samples instead of averaging per-platform rates
- canonicalize ai_platform_id across services and aggregate platform-overview snapshots
- strip mojibake and non-answer noise from callback payloads and question detail answers
- keep Kimi citations panel-only; still store raw search_results for audit
- render linked [n] inline citations for qwen/yuanbao answers with scroll-to-source behavior
- restrict立即采集 to today's business date with a clear i18n hint
- refresh content-citations into an ant-design table with truncation and hover styling
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replace SSE /desktop/events with priority AMQP dispatch for monitoring
runs, and add phase1/phase2 infrastructure so desktop workers can lease,
resume, report, skip, and cancel monitoring tasks over the existing
dispatch WebSocket.
- Add monitoring collect outbox worker and phase2 desktop task fields
- Add /desktop/monitoring/tasks/{lease,resume,result,skip,cancel} routes
- Introduce execution-devtools and network-observer on desktop runtime
- Refactor runtime-controller, LoginView, and doubao adapter for the new flow
- Add channelName column to tracking views
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Implemented a new prompts loader in `loader.go` to manage prompt templates and configurations.
- Introduced caching mechanism for prompt configurations to optimize loading.
- Added functions to apply platform-specific prompt template overrides.
- Created unit tests in `loader_test.go` to validate prompt configuration loading and reloading behavior.
- Ensured that the last valid configuration is retained in case of errors during reload.
- Implement monitoring service with heartbeat, lease tasks, resume tasks, and task result handling.
- Create monitoring time utilities for business date calculations.
- Add unit tests for date window resolution and business day handling.
- Define database schema for monitoring-related tables including quotas, daily reports, and task management.
- Establish migration scripts for creating and dropping monitoring tables.
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