- 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>
- Added a new Qwen adapter to facilitate monitoring through Playwright, leveraging internal text/chat managers.
- Updated account detection logic to recognize Qwen sessions based on persisted cookies, improving binding reliability.
- Relaxed authentication requirements for monitor tasks, allowing anonymous execution for certain AI platforms.
- Enhanced the generic AI platform detection to include Qwen-specific logic, ensuring accurate session identification.
- Modified the monitoring dashboard to include runtime state indicating if the current user's desktop client is online.
- Updated various files including `account-binder.ts`, `runtime-controller.ts`, and `monitoring_service.go` to support new features and improvements.
Add ai_platforms table + shared catalog (yuanbao/kimi/wenxin/deepseek/doubao/qwen),
drop FKs from platform_accounts and desktop_tasks to media_platforms, and wire
target_account_id + platform into DesktopTaskEvent so the desktop runtime no
longer has to infer them from local state. Desktop client gains generic AI page
detection for binding, drops stale-business-date monitor tasks at the edge, and
refactors AccountsView/AiPlatformsView around the shared catalog. Admin tracking
view surfaces per-platform sampling status cards.
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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