mirror of
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80 lines
2.6 KiB
Python
80 lines
2.6 KiB
Python
"""Add confidences
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Revision ID: 152f8b4b52e8
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Revises: ba301527a2eb
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Create Date: 2025-06-03 11:56:42.302327
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision: str = "152f8b4b52e8"
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down_revision: Union[str, None] = "ba301527a2eb"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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op.create_table(
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"confidence_score",
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sa.Column("id", sa.BigInteger(), nullable=False),
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sa.Column("source_item_id", sa.BigInteger(), nullable=False),
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sa.Column("confidence_type", sa.Text(), nullable=False),
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sa.Column("score", sa.Numeric(precision=3, scale=2), nullable=False),
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sa.CheckConstraint("score >= 0.0 AND score <= 1.0", name="score_range_check"),
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sa.ForeignKeyConstraint(
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["source_item_id"], ["source_item.id"], ondelete="CASCADE"
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),
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sa.PrimaryKeyConstraint("id"),
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sa.UniqueConstraint(
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"source_item_id", "confidence_type", name="unique_source_confidence_type"
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),
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)
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op.create_index("confidence_score_idx", "confidence_score", ["score"], unique=False)
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op.create_index(
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"confidence_source_idx", "confidence_score", ["source_item_id"], unique=False
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)
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op.create_index(
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"confidence_type_idx", "confidence_score", ["confidence_type"], unique=False
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)
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op.drop_index("agent_obs_confidence_idx", table_name="agent_observation")
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op.drop_column("agent_observation", "confidence")
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op.drop_index("note_confidence_idx", table_name="notes")
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op.drop_column("notes", "confidence")
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def downgrade() -> None:
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op.add_column(
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"notes",
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sa.Column(
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"confidence",
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sa.NUMERIC(precision=3, scale=2),
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server_default=sa.text("0.5"),
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autoincrement=False,
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nullable=False,
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),
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)
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op.create_index("note_confidence_idx", "notes", ["confidence"], unique=False)
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op.add_column(
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"agent_observation",
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sa.Column(
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"confidence",
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sa.NUMERIC(precision=3, scale=2),
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server_default=sa.text("0.5"),
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autoincrement=False,
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nullable=False,
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),
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)
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op.create_index(
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"agent_obs_confidence_idx", "agent_observation", ["confidence"], unique=False
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)
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op.drop_index("confidence_type_idx", table_name="confidence_score")
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op.drop_index("confidence_source_idx", table_name="confidence_score")
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op.drop_index("confidence_score_idx", table_name="confidence_score")
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op.drop_table("confidence_score")
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