46 lines
2.4 KiB
Python
46 lines
2.4 KiB
Python
"""Phase 2.1c: nature métier et segments d'exécution."""
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from alembic import op
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import sqlalchemy as sa
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revision = "j5e6f7a8b9c0"
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down_revision = "i4d5e6f7a8b9"
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branch_labels = None
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depends_on = None
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def upgrade():
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columns = [
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sa.Column("task_nature", sa.String(30), nullable=False, server_default="unknown"),
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sa.Column("interruptible", sa.Boolean(), nullable=False, server_default=sa.false()),
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sa.Column("splittable", sa.Boolean(), nullable=False, server_default=sa.false()),
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sa.Column("minimum_segment_minutes", sa.Integer(), nullable=True),
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sa.Column("allow_next_day_resume", sa.Boolean(), nullable=False, server_default=sa.false()),
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sa.Column("requires_safe_pause", sa.Boolean(), nullable=False, server_default=sa.false()),
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]
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for column in columns:
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op.add_column("lot_tasks", column)
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op.create_table(
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"task_execution_segments",
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sa.Column("id", sa.Integer(), primary_key=True),
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sa.Column("scheduled_task_id", sa.Integer(), nullable=False),
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sa.Column("technician_id", sa.Integer(), nullable=True),
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sa.Column("started_at", sa.DateTime(), nullable=False),
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sa.Column("ended_at", sa.DateTime(), nullable=True),
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sa.Column("duration_minutes", sa.Integer(), nullable=False, server_default="0"),
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sa.Column("status", sa.String(20), nullable=False, server_default="active"),
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sa.Column("pause_reason", sa.String(80), nullable=True),
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sa.Column("note", sa.Text(), nullable=True),
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sa.Column("created_at", sa.DateTime(), nullable=False),
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sa.ForeignKeyConstraint(["scheduled_task_id"], ["scheduled_tasks.id"], ondelete="CASCADE"),
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sa.ForeignKeyConstraint(["technician_id"], ["users.id"], ondelete="SET NULL"),
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)
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op.create_index("ix_task_execution_segments_scheduled_task_id", "task_execution_segments", ["scheduled_task_id"])
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op.create_index("ix_task_execution_segments_technician_id", "task_execution_segments", ["technician_id"])
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def downgrade():
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op.drop_index("ix_task_execution_segments_technician_id", table_name="task_execution_segments")
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op.drop_index("ix_task_execution_segments_scheduled_task_id", table_name="task_execution_segments")
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op.drop_table("task_execution_segments")
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for name in ("requires_safe_pause", "allow_next_day_resume", "minimum_segment_minutes", "splittable", "interruptible", "task_nature"):
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op.drop_column("lot_tasks", name)
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