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Co-authored-by: openhands <openhands@all-hands.dev> Co-authored-by: rohitvinodmalhotra@gmail.com <rohitvinodmalhotra@gmail.com> Co-authored-by: Hiep Le <69354317+hieptl@users.noreply.github.com> Co-authored-by: Tim O'Farrell <tofarr@gmail.com>
29 lines
988 B
Python
29 lines
988 B
Python
"""
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SQLAlchemy model for ConversationMetadataSaas.
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This model stores the SaaS-specific metadata for conversations,
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containing only the conversation_id, user_id, and org_id.
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"""
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from sqlalchemy import UUID as SQL_UUID
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from sqlalchemy import Column, ForeignKey, String
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from sqlalchemy.orm import relationship
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from storage.base import Base
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class StoredConversationMetadataSaas(Base): # type: ignore
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"""SaaS conversation metadata model containing user and org associations."""
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__tablename__ = 'conversation_metadata_saas'
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conversation_id = Column(String, primary_key=True)
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user_id = Column(SQL_UUID(as_uuid=True), ForeignKey('user.id'), nullable=False)
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org_id = Column(SQL_UUID(as_uuid=True), ForeignKey('org.id'), nullable=False)
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# Relationships
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user = relationship('User', back_populates='stored_conversation_metadata_saas')
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org = relationship('Org', back_populates='stored_conversation_metadata_saas')
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__all__ = ['StoredConversationMetadataSaas']
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