Replace the domain+title fuzzy alias scoring with a canonical
candidate-key index built from published-link aliases — only exact
matches now resolve to a SaaS source, eliminating false positives
across articles sharing a host (e.g. m.163.com vs www.163.com).
Surface the summary scoping that already existed on loadCitationRanking
/ loadCitedArticles by accepting brand_id, keyword_id, ai_platform_id
and business_date on CitationSummary, plumbing them through the handler
and admin tracking view.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Persist host/registrable_domain/site_key on monitoring article URL
aliases, populate them on desktop-publish completion, and use them in
the citation pipeline to count how often SaaS-published content
appears as a citation source. Expose a /citation-summary endpoint with
a 7/30-day window switch and surface the new source-share metrics in
the tracking dashboard.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Daily monitoring tasks were pinned to a single primary client. If that
client went offline the task wedged even when another desktop client of
the same workspace was online and bound to the same account. Drop the
primary-client constraint on the materialized collect rows, and instead
pick a target per-platform from live account/client presence in Redis,
falling back to the DB client_id when the desktop client is still flagged
online. Desktop task lease for kind=monitor now matches by account
ownership in addition to target_client_id, so any client owning the
account can drain the queue.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds a MonitoringDailyTaskWorker that materializes and dispatches
daily collect tasks from active subscription/desktop-client state,
with per-run atomic metrics and a Prometheus collector. Dashboard
and question-detail APIs now surface a platform_authorization_status
so the UI can distinguish no-desktop-client, no-authorized-platforms,
and authorized states; quota/access-state lookups resolve by request
workspace instead of tenant.
Hardens heartbeat: a desktop_client_primary_leases table gives
per-(tenant, workspace) sticky primary selection, read-mostly lease
resolution avoids a per-heartbeat transaction, and unchanged platform
access reports skip snapshot upserts outside a 10-minute refresh
window. Adds heartbeat primary/snapshot metrics exposed via
token-protected tenant-api /api/internal/metrics endpoints plus
Prometheus. Monitoring quota seed is removed from dev-seed since
daily plans now derive from desktop bindings, and the projection
uses the canonical six-platform catalog so platforms with zero
samples still render.
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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