105 lines
3.8 KiB
Python
105 lines
3.8 KiB
Python
"""
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Competitor Response Agent implementation.
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"""
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from typing import Dict, Any, List, Optional
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from datetime import datetime
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from loguru import logger
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from .base import SIFBaseAgent, TXTAI_AVAILABLE, Agent
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from services.intelligence.agents.core_agent_framework import BaseALwrityAgent, TaskProposal
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from services.database import has_onboarding_session
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try:
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from services.intelligence.sif_integration import SIFIntegrationService
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SIF_AVAILABLE = True
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except ImportError:
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SIF_AVAILABLE = False
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class CompetitorResponseAgent(BaseALwrityAgent):
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"""
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Agent responsible for monitoring competitors and generating counter-strategies.
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"""
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def __init__(self, user_id: str, shared_llm_name: str, llm: Any = None, **kwargs):
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super().__init__(user_id, "competitor_analyst", shared_llm_name, llm, **kwargs)
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self.sif_service = None
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if SIF_AVAILABLE and has_onboarding_session(user_id):
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try:
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self.sif_service = SIFIntegrationService(user_id)
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except Exception as e:
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logger.warning(f"Failed to initialize SIF service for CompetitorResponseAgent: {e}")
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elif SIF_AVAILABLE:
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logger.debug(
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"Skipping SIF service initialization for CompetitorResponseAgent user {}: no onboarding session",
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user_id,
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)
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def _create_txtai_agent(self):
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"""Create a specialized txtai Agent for competitor analysis."""
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if not TXTAI_AVAILABLE or Agent is None:
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return None
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_llm_for_agent = getattr(self.llm, "llm", self.llm)
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return Agent(
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tools=[
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{
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"name": "competitor_monitor",
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"description": "Monitors competitor content and changes",
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"target": self._competitor_monitor_tool
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},
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{
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"name": "threat_analyzer",
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"description": "Analyzes competitive threats",
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"target": self._threat_analyzer_tool
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}
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],
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llm=_llm_for_agent,
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max_iterations=5,
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# Removed unsupported 'system' argument
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# Instruction will be provided via orchestrator context or initial prompt
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# Instruction should be provided during invocation or via orchestrator context
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)
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# Tool Implementations
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def _competitor_monitor_tool(self, context: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Competitor monitoring tool that retrieves data via SIF.
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Args:
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context: Dictionary containing 'competitor_url' (optional) to filter monitoring targets.
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"""
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# Stub implementation
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return {"status": "monitored", "changes": []}
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def _threat_analyzer_tool(self, context: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Threat analysis tool using SIF data.
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Args:
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context: Dictionary containing analysis parameters like 'focus_area' or 'timeframe'.
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"""
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# Stub implementation
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return {"threat_assessment": "Low", "level": "low"}
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async def propose_daily_tasks(self, context: Dict[str, Any]) -> List[TaskProposal]:
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"""
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Propose tasks based on competitive intel.
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"""
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proposals = []
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# 1. Competitor Gap Fill
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proposals.append(TaskProposal(
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title="Cover 'AI Agent Frameworks'",
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description="Competitor X just published a guide on this. Create a better version.",
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pillar_id="create",
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priority="high",
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estimated_time=60,
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source_agent="CompetitorResponseAgent",
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reasoning="High-value topic gaining traction.",
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action_type="navigate",
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action_url="/content-planning-dashboard"
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))
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return proposals
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