b6bff318d9
- Agent roles integration progress - Various backend and frontend updates - Storybook cache cleanup 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
52 lines
2.3 KiB
Python
52 lines
2.3 KiB
Python
"""
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Task model for SQLAlchemy ORM
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"""
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from sqlalchemy import Column, String, Text, Integer, DateTime, ForeignKey, UUID as SqlUUID, Float, Boolean
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.sql import func
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from sqlalchemy.orm import relationship
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from ..core.database import Base
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import uuid
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class Task(Base):
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__tablename__ = "tasks"
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# Primary identification
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id = Column(SqlUUID(as_uuid=True), primary_key=True, index=True, default=uuid.uuid4)
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# Task details
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title = Column(String(255), nullable=False)
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description = Column(Text)
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priority = Column(Integer, default=5)
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status = Column(String(50), default='pending')
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# Relationships
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assigned_agent_id = Column(String(255), ForeignKey("agents.id"), nullable=True)
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workflow_id = Column(SqlUUID(as_uuid=True), ForeignKey("workflows.id"), nullable=True)
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execution_id = Column(SqlUUID(as_uuid=True), ForeignKey("executions.id"), nullable=True)
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# Task metadata (includes context and payload)
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task_metadata = Column("metadata", JSONB, nullable=True)
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# RL Context Curator outcome tracking fields
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completion_time = Column(Integer, nullable=True) # Time to complete in seconds
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errors_encountered = Column(Integer, default=0) # Number of errors during execution
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follow_up_questions = Column(Integer, default=0) # Number of follow-up questions
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success_rate = Column(Float, nullable=True) # Success rate (0.0 to 1.0)
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context_used = Column(JSONB, nullable=True) # Context IDs used in this task
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context_relevance_score = Column(Float, nullable=True) # Average relevance of used context
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feedback_collected = Column(Boolean, default=False) # Whether feedback was collected
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task_outcome = Column(String(50), nullable=True) # completed, failed, abandoned
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outcome_confidence = Column(Float, nullable=True) # Confidence in outcome classification
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# Timestamps
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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started_at = Column(DateTime(timezone=True), nullable=True)
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completed_at = Column(DateTime(timezone=True), nullable=True)
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# Relationships
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assigned_agent = relationship("Agent", back_populates="tasks")
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workflow = relationship("Workflow", back_populates="tasks")
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execution = relationship("Execution", back_populates="tasks") |