923fa671fe
ContentGuardianAgent consolidation:
- Merge 3 duplicate classes into single source in specialized/content_guardian.py
- Watchdog audit_committee() with heuristic scoring, coverage gaps, overlaps, alerts
- Remove misleading rejection_rate() helper; use acceptance_rate directly
- Integrate audit + alerts + trend signals into today_workflow_service.py
Team Activity page:
- QualityAuditPanel: health ring, per-agent critiques, coverage gaps, overlaps
- TrendSignalsPanel: opportunity cards with urgency/impact/coverage bars
- AlertBanner: persistent dismiss via POST /alerts/{id}/mark-read
- AgentHelpModal: dialog showing all 8 agents with descriptions, tools, schedule
- QualityAuditPanel action buttons: Fill gap -> /content-planning, Resolve overlap, View CTA on alerts/issues
- TrendSignalsPanel action buttons: Create content from this trend -> /blog-writer with trend context state
Onboarding system:
- Step 4 validation: no auto-pass via basic_ready; requires persona data or explicit progression
- Step 5 validation: logs warning on auto-pass without integration data
- OnboardingCompletionService: single DB session, transactional task creation, upsert pattern
- Business-without-website: nullable website_url on SIFIndexingTask and MarketTrendsTask
- DeepCompetitorAnalysisExecutor: 5-min timeout, 10-competitor cap, asyncio.wait_for
- Persona generation: async with 30s timeout, falls back to scheduler
- OnboardingProgressService.reset_onboarding(): resets session + pauses all DB tasks
- OnboardingControlService.reset_onboarding(): also cancels APScheduler jobs
- FinalStep TaskSchedulingPanel: shows scheduled/failed tasks after completion, 8s auto-redirect
- onboarding_completed agent activity event logged to feed
Documentation:
- docs-site/features/onboarding/: overview, steps, scheduler-tasks, technical-reference (4 pages)
- docs-site/mkdocs.yml: added Onboarding System nav section
- docs-site/features/sif-agents/: overview, agent-directory, committee-system, content-guardian (4 pages)
- docs-site/features/team-activity/: overview, quality-audit, trend-signals, alert-system (4 pages)
- docs-site/features/todays-workflow/: updated overview, technical-architecture, workflow-guide, api-reference
75 lines
1.8 KiB
Python
75 lines
1.8 KiB
Python
"""
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ALwrity Autonomous Marketing Agents Module
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This module provides autonomous marketing agents built on txtai's native agent framework.
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The agents work together to monitor market conditions, analyze competitor activities,
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and execute coordinated marketing strategies without human intervention.
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"""
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# Core agent framework
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from .core_agent_framework import (
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BaseALwrityAgent,
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AgentAction,
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AgentPerformance,
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StrategyOrchestratorAgent
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)
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# Market signal detection
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from .market_signal_detector import (
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MarketSignal,
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MarketSignalDetector
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)
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# Performance monitoring
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from .performance_monitor import (
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PerformanceMonitor,
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performance_monitor,
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PerformanceMetric,
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AgentPerformanceMetrics
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)
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# Specialized agents
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from .specialized_agents import (
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ContentGuardianAgent,
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LinkGraphAgent,
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StrategyArchitectAgent,
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ContentStrategyAgent,
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CompetitorResponseAgent,
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SEOOptimizationAgent,
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SocialAmplificationAgent
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)
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from .trend_surfer_agent import TrendSurferAgent
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from .content_gap_radar_agent import ContentGapRadarAgent
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# Agent Orchestrator
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from .agent_orchestrator import (
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ALwrityAgentOrchestrator,
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orchestration_service
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)
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__all__ = [
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'BaseALwrityAgent',
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'AgentAction',
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'AgentPerformance',
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'StrategyOrchestratorAgent',
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'MarketSignal',
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'MarketSignalDetector',
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'MarketTrendAnalyzer',
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'PerformanceMonitor',
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'performance_monitor',
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'PerformanceMetric',
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'AgentPerformanceMetrics',
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'ContentGuardianAgent',
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'LinkGraphAgent',
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'StrategyArchitectAgent',
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'ContentStrategyAgent',
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'CompetitorResponseAgent',
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'SEOOptimizationAgent',
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'SocialAmplificationAgent',
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'TrendSurferAgent',
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'ContentGapRadarAgent',
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'ALwrityAgentOrchestrator',
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'orchestration_service'
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]
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