b801f6cac5
Extract JSONB messages array from script_builder_sessions into a proper script_builder_messages table with individual columns for role, content, script, tokens, etc. Migration handles data migration from JSONB to rows. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
112 lines
3.9 KiB
Python
112 lines
3.9 KiB
Python
"""Script Builder session and message models.
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Tracks AI-powered script generation conversations.
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"""
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import uuid
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from datetime import datetime, timezone
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from typing import Optional, TYPE_CHECKING
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from sqlalchemy import String, Text, DateTime, ForeignKey, Integer
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from sqlalchemy.dialects.postgresql import UUID
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from app.core.database import Base
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if TYPE_CHECKING:
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from app.models.user import User
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class ScriptBuilderSession(Base):
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"""A conversation session in the AI Script Builder."""
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__tablename__ = "script_builder_sessions"
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id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
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)
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user_id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True),
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ForeignKey("users.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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team_id: Mapped[Optional[uuid.UUID]] = mapped_column(
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UUID(as_uuid=True),
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ForeignKey("teams.id", ondelete="SET NULL"),
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nullable=True,
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)
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language: Mapped[str] = mapped_column(
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String(30), nullable=False, default="powershell",
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comment="Script language: powershell, bash, python",
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)
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title: Mapped[Optional[str]] = mapped_column(
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String(200), nullable=True,
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comment="Auto-generated from first AI response",
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)
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latest_script: Mapped[Optional[str]] = mapped_column(
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Text, nullable=True,
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comment="Most recent generated script for quick access",
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)
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latest_script_filename: Mapped[Optional[str]] = mapped_column(
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String(200), nullable=True,
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comment="Filename of the latest generated script",
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)
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ai_session_id: Mapped[Optional[uuid.UUID]] = mapped_column(
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UUID(as_uuid=True),
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ForeignKey("ai_sessions.id", ondelete="SET NULL"),
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nullable=True,
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comment="Link to FlowPilot session if launched from there",
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc),
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onupdate=lambda: datetime.now(timezone.utc),
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)
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# Relationships
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user: Mapped["User"] = relationship("User")
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message_records: Mapped[list["ScriptBuilderMessage"]] = relationship(
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"ScriptBuilderMessage",
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back_populates="session",
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order_by="ScriptBuilderMessage.created_at",
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cascade="all, delete-orphan",
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)
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class ScriptBuilderMessage(Base):
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"""A single message in a Script Builder conversation."""
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__tablename__ = "script_builder_messages"
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id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
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)
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session_id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True),
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ForeignKey("script_builder_sessions.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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role: Mapped[str] = mapped_column(
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String(20), nullable=False, comment="user or assistant"
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)
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content: Mapped[str] = mapped_column(Text, nullable=False)
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script: Mapped[Optional[str]] = mapped_column(
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Text, nullable=True, comment="Extracted script from AI response"
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)
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script_filename: Mapped[Optional[str]] = mapped_column(
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String(200), nullable=True
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)
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line_count: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
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input_tokens: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
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output_tokens: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
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)
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# Relationship
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session: Mapped["ScriptBuilderSession"] = relationship(
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"ScriptBuilderSession", back_populates="message_records"
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)
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