wlt
7317fbe012
- New AgentPipeline model with JSONB pipeline_data for stages/leads/summary
- AgentOrchestrator service chains DiscoveryService search→analyze→outreach→auto-save
- 3 new API endpoints: POST /agent/start, GET /agent/pipelines, GET /agent/{id}
- Full Agent dashboard Vue component with stats, pipeline grid, leads table, outreach preview
- Sidebar redesigned with AI Agent as primary entry point
- Updated PROGRESS.md, AGENTS.md, DATABASE_SCHEMA.md with latest state
31 lines
1.2 KiB
Python
31 lines
1.2 KiB
Python
from sqlalchemy import Column, String, Integer, DateTime, Text
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from sqlalchemy.dialects.postgresql import UUID, JSONB
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from datetime import datetime
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from app.database import Base
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import uuid
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class AgentPipeline(Base):
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__tablename__ = "agent_pipelines"
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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user_id = Column(UUID(as_uuid=True), nullable=False, index=True)
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status = Column(String(50), default="running")
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progress = Column(Integer, default=0)
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product_name = Column(String(255), nullable=False)
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product_description = Column(Text, default="")
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target_market = Column(String(255), nullable=False)
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pipeline_data = Column(JSONB, default={
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"stages": {
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"discover": {"status": "pending", "message": ""},
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"analyze": {"status": "pending", "message": ""},
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"outreach": {"status": "pending", "message": ""},
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"complete": {"status": "pending", "message": ""},
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},
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"leads": [],
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"summary": {},
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})
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error_message = Column(Text)
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created_at = Column(DateTime, default=datetime.utcnow)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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