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60 lines
3.3 KiB
Python
60 lines
3.3 KiB
Python
"""Add Sprint 8 detection foundation."""
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from alembic import op
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import sqlalchemy as sa
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from geoalchemy2 import Geometry
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revision = "202606120800"
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down_revision = "202606120700"
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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op.add_column("analysis_runs", sa.Column("dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True))
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op.add_column("analysis_runs", sa.Column("job_id", sa.UUID(as_uuid=True), sa.ForeignKey("jobs.id", ondelete="SET NULL"), nullable=True))
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op.add_column("analysis_runs", sa.Column("model_name", sa.String(length=255), nullable=True))
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op.add_column("analysis_runs", sa.Column("model_version", sa.String(length=120), nullable=True))
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op.add_column("analysis_runs", sa.Column("result_json", sa.JSON(), nullable=True))
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op.add_column("analysis_runs", sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()"), nullable=False))
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op.create_table(
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"detections",
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sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
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sa.Column("project_id", sa.UUID(as_uuid=True), sa.ForeignKey("projects.id", ondelete="CASCADE"), nullable=False),
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sa.Column("dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True),
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sa.Column("analysis_run_id", sa.UUID(as_uuid=True), sa.ForeignKey("analysis_runs.id", ondelete="SET NULL"), nullable=True),
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sa.Column("job_id", sa.UUID(as_uuid=True), sa.ForeignKey("jobs.id", ondelete="SET NULL"), nullable=True),
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sa.Column("model_name", sa.String(length=255), nullable=False),
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sa.Column("model_version", sa.String(length=120), nullable=True),
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sa.Column("class_name", sa.String(length=120), nullable=False),
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sa.Column("confidence", sa.Float(), nullable=False),
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sa.Column("geometry", Geometry("GEOMETRY", srid=4326, spatial_index=False), nullable=False),
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sa.Column("bbox_json", sa.JSON(), nullable=True),
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sa.Column("source_tile_path", sa.String(length=500), nullable=True),
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sa.Column("properties_json", sa.JSON(), nullable=True),
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sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()"), nullable=False),
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)
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op.create_index("ix_detections_project_id", "detections", ["project_id"])
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op.create_index("ix_detections_dataset_id", "detections", ["dataset_id"])
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op.create_index("ix_detections_analysis_run_id", "detections", ["analysis_run_id"])
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op.create_index("ix_detections_class_name", "detections", ["class_name"])
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op.create_index("ix_detections_geometry", "detections", ["geometry"], postgresql_using="gist")
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def downgrade() -> None:
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op.drop_index("ix_detections_geometry", table_name="detections", postgresql_using="gist")
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op.drop_index("ix_detections_class_name", table_name="detections")
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op.drop_index("ix_detections_analysis_run_id", table_name="detections")
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op.drop_index("ix_detections_dataset_id", table_name="detections")
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op.drop_index("ix_detections_project_id", table_name="detections")
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op.drop_table("detections")
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op.drop_column("analysis_runs", "created_at")
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op.drop_column("analysis_runs", "result_json")
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op.drop_column("analysis_runs", "model_version")
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op.drop_column("analysis_runs", "model_name")
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op.drop_column("analysis_runs", "job_id")
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op.drop_column("analysis_runs", "dataset_id")
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