Initial GeoIntel V1 foundation

backend/alembic/env.py

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+from __future__ import annotations
+
+import os
+import sys
+from logging.config import fileConfig
+
+from alembic import context
+from sqlalchemy import engine_from_config, pool
+
+sys.path.append(os.path.realpath(os.path.join(os.path.dirname(__file__), '..')))
+
+from app.core.config import get_settings
+from app.db.base import Base
+import app.models.entities  # noqa: F401
+
+settings = get_settings()
+config = context.config
+if config.config_file_name is not None:
+    fileConfig(config.config_file_name)
+
+config.set_main_option("sqlalchemy.url", settings.database_url)
+
+target_metadata = Base.metadata
+
+def run_migrations_offline() -> None:
+    url = config.get_main_option("sqlalchemy.url")
+    context.configure(url=url, target_metadata=target_metadata, literal_binds=True)
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+def run_migrations_online() -> None:
+    connectable = engine_from_config(
+        config.get_section(config.config_ini_section, {}),
+        prefix="sqlalchemy.",
+        poolclass=pool.NullPool,
+    )
+
+    with connectable.connect() as connection:
+        context.configure(connection=connection, target_metadata=target_metadata)
+        with context.begin_transaction():
+            context.run_migrations()
+
+
+if context.is_offline_mode():
+    run_migrations_offline()
+else:
+    run_migrations_online()

backend/alembic/script.py.mako

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+"""
+${message}
+"""
+from alembic import op
+import sqlalchemy as sa
+
+${imports}
+
+revision = ${repr(revision)}
+down_revision = ${repr(down_revision)}
+branch_labels = ${repr(branch_labels)}
+depends_on = ${repr(depends_on)}
+
+
+def upgrade():
+    ${upgrades if upgrades else "pass"}
+
+
+def downgrade():
+    ${downgrades if downgrades else "pass"}

backend/alembic/versions/202601110001_initial.py

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+"""Initial PostGIS schema for Sprint 1 foundation."""
+
+from alembic import op
+import sqlalchemy as sa
+from geoalchemy2 import Geometry
+
+revision = "202601110001"
+down_revision = None
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.execute("CREATE EXTENSION IF NOT EXISTS postgis")
+    op.execute("CREATE EXTENSION IF NOT EXISTS postgis_topology")
+    op.execute('CREATE EXTENSION IF NOT EXISTS "uuid-ossp"')
+
+    op.create_table(
+        "projects",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("name", sa.Text(), nullable=False),
+        sa.Column("description", sa.Text(), nullable=True),
+        sa.Column("region", sa.Text(), nullable=False, server_default="Kempen"),
+        sa.Column("status", sa.Text(), nullable=False, server_default="active"),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+        sa.Column("updated_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+    )
+
+    op.create_table(
+        "areas",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("project_id", sa.UUID(as_uuid=True), sa.ForeignKey("projects.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("name", sa.Text(), nullable=False),
+        sa.Column("geometry", Geometry("MULTIPOLYGON", srid=4326), nullable=False),
+        sa.Column("original_crs", sa.Text(), nullable=True),
+        sa.Column("area_m2", sa.Float(), nullable=True),
+        sa.Column("bbox", Geometry("POLYGON", srid=4326), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+    )
+
+    op.create_table(
+        "datasets",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("project_id", sa.UUID(as_uuid=True), sa.ForeignKey("projects.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("area_id", sa.UUID(as_uuid=True), sa.ForeignKey("areas.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("name", sa.Text(), nullable=False),
+        sa.Column("dataset_type", sa.Text(), nullable=False),
+        sa.Column("source", sa.Text(), nullable=False),
+        sa.Column("storage_path", sa.Text(), nullable=True),
+        sa.Column("derived_from_dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("crs", sa.Text(), nullable=True),
+        sa.Column("bounds_json", sa.JSON(), nullable=True),
+        sa.Column("resolution_json", sa.JSON(), nullable=True),
+        sa.Column("bands_json", sa.JSON(), nullable=True),
+        sa.Column("metadata_json", sa.JSON(), nullable=True),
+        sa.Column("status", sa.Text(), nullable=False, server_default="created"),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+        sa.Column("updated_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+    )
+
+    op.create_table(
+        "dataset_versions",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("version", sa.Integer(), nullable=False, server_default="1"),
+        sa.Column("storage_path", sa.Text(), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+    )
+
+    op.create_table(
+        "analysis_runs",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("project_id", sa.UUID(as_uuid=True), sa.ForeignKey("projects.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("area_id", sa.UUID(as_uuid=True), sa.ForeignKey("areas.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("analysis_type", sa.Text(), nullable=False),
+        sa.Column("status", sa.Text(), nullable=False),
+        sa.Column("parameters_json", sa.JSON(), nullable=False),
+        sa.Column("started_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("finished_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("error_message", sa.Text(), nullable=True),
+    )
+
+    op.create_table(
+        "exports",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("project_id", sa.UUID(as_uuid=True), sa.ForeignKey("projects.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("analysis_run_id", sa.UUID(as_uuid=True), sa.ForeignKey("analysis_runs.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("export_type", sa.Text(), nullable=False),
+        sa.Column("storage_path", sa.Text(), nullable=False),
+        sa.Column("metadata_json", sa.JSON(), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+    )
+
+    op.create_index("ix_areas_geometry", "areas", ["geometry"], postgresql_using="gist")
+    op.create_index("ix_areas_project_id", "areas", ["project_id"])
+    op.create_index("ix_datasets_project_id", "datasets", ["project_id"])
+
+
+def downgrade() -> None:
+    op.drop_index("ix_datasets_project_id", table_name="datasets")
+    op.drop_index("ix_areas_project_id", table_name="areas")
+    op.drop_index("ix_areas_geometry", table_name="areas", postgresql_using="gist")
+    op.drop_table("exports")
+    op.drop_table("analysis_runs")
+    op.drop_table("dataset_versions")
+    op.drop_table("datasets")
+    op.drop_table("areas")
+    op.drop_table("projects")

backend/alembic/versions/202601120001_dataset_storage_metadata.py

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+"""Add dataset storage metadata columns."""
+
+from alembic import op
+import sqlalchemy as sa
+
+
+revision = "202601120001"
+down_revision = "202601110001"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column("datasets", sa.Column("original_filename", sa.Text(), nullable=True))
+    op.add_column("datasets", sa.Column("stored_filename", sa.Text(), nullable=True))
+    op.add_column("datasets", sa.Column("content_type", sa.Text(), nullable=True))
+    op.add_column("datasets", sa.Column("size_bytes", sa.Integer(), nullable=True))
+    op.add_column("datasets", sa.Column("checksum_sha256", sa.Text(), nullable=True))
+    op.alter_column("datasets", "status", server_default="uploaded")
+
+
+def downgrade() -> None:
+    op.drop_column("datasets", "checksum_sha256")
+    op.drop_column("datasets", "size_bytes")
+    op.drop_column("datasets", "content_type")
+    op.drop_column("datasets", "stored_filename")
+    op.drop_column("datasets", "original_filename")

backend/alembic/versions/20260611212435_add_jobs_table.py

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+"""Add lightweight job table for sprint-3 async architecture foundation."""
+
+from alembic import op
+import sqlalchemy as sa
+
+
+revision = "20260611212435"
+down_revision = "202601120001"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "jobs",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("job_type", sa.Text(), nullable=False),
+        sa.Column("status", sa.Text(), nullable=False, server_default="queued"),
+        sa.Column("project_id", sa.UUID(as_uuid=True), sa.ForeignKey("projects.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("input_dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("output_dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("parameters_json", sa.JSON(), nullable=False),
+        sa.Column("result_json", sa.JSON(), nullable=True),
+        sa.Column("error_message", sa.Text(), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+        sa.Column("started_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("finished_at", sa.DateTime(timezone=True), nullable=True),
+    )
+
+    op.create_index("ix_jobs_project_id", "jobs", ["project_id"])
+    op.create_index("ix_jobs_status", "jobs", ["status"])
+
+
+def downgrade() -> None:
+    op.drop_index("ix_jobs_status", table_name="jobs")
+    op.drop_index("ix_jobs_project_id", table_name="jobs")
+    op.drop_table("jobs")

backend/alembic/versions/202606120001_add_dataset_reference_metadata.py

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+"""Add dataset reference and provenance metadata columns."""
+
+from alembic import op
+import sqlalchemy as sa
+
+
+revision = "202606120001"
+down_revision = "20260611212435"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column("datasets", sa.Column("dataset_role", sa.Text(), nullable=False, server_default="source"))
+    op.add_column("datasets", sa.Column("source_name", sa.Text(), nullable=True))
+    op.add_column("datasets", sa.Column("reference_layer_name", sa.Text(), nullable=True))
+    op.add_column("datasets", sa.Column("source_metadata", sa.JSON(), nullable=True))
+    op.add_column("datasets", sa.Column("provenance_metadata", sa.JSON(), nullable=True))
+    op.add_column("datasets", sa.Column("imported_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()"), nullable=False))
+
+
+def downgrade() -> None:
+    op.drop_column("datasets", "imported_at")
+    op.drop_column("datasets", "provenance_metadata")
+    op.drop_column("datasets", "source_metadata")
+    op.drop_column("datasets", "reference_layer_name")
+    op.drop_column("datasets", "source_name")
+    op.drop_column("datasets", "dataset_role")

backend/alembic/versions/202606120700_sprint7a_persistence_foundation.py

@@ -0,0 +1,76 @@
+"""Add Sprint 7A vector feature and QA persistence foundation."""
+
+from alembic import op
+import sqlalchemy as sa
+from geoalchemy2 import Geometry
+
+
+revision = "202606120700"
+down_revision = "202606120001"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "vector_features",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("feature_class", sa.Text(), nullable=True),
+        sa.Column("source_feature_id", sa.Text(), nullable=True),
+        sa.Column("properties_json", sa.JSON(), nullable=True),
+        sa.Column("geometry", Geometry("GEOMETRY", srid=4326, spatial_index=False), nullable=False),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+    )
+    op.create_index("ix_vector_features_dataset_id", "vector_features", ["dataset_id"])
+    op.create_index("ix_vector_features_geometry", "vector_features", ["geometry"], postgresql_using="gist")
+
+    op.create_table(
+        "quality_checks",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("project_id", sa.UUID(as_uuid=True), sa.ForeignKey("projects.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("job_id", sa.UUID(as_uuid=True), sa.ForeignKey("jobs.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("analysis_run_id", sa.UUID(as_uuid=True), sa.ForeignKey("analysis_runs.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("candidate_dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("reference_dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("check_type", sa.Text(), nullable=False),
+        sa.Column("status", sa.Text(), nullable=False),
+        sa.Column("score", sa.Float(), nullable=True),
+        sa.Column("parameters_json", sa.JSON(), nullable=True),
+        sa.Column("findings_json", sa.JSON(), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+        sa.Column("completed_at", sa.DateTime(timezone=True), nullable=True),
+    )
+    op.create_index("ix_quality_checks_project_id", "quality_checks", ["project_id"])
+    op.create_index("ix_quality_checks_reference_dataset_id", "quality_checks", ["reference_dataset_id"])
+    op.create_index("ix_quality_checks_candidate_dataset_id", "quality_checks", ["candidate_dataset_id"])
+    op.create_index("ix_quality_checks_analysis_run_id", "quality_checks", ["analysis_run_id"])
+
+    op.create_table(
+        "metrics",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("quality_check_id", sa.UUID(as_uuid=True), sa.ForeignKey("quality_checks.id", ondelete="CASCADE"), nullable=True),
+        sa.Column("analysis_run_id", sa.UUID(as_uuid=True), sa.ForeignKey("analysis_runs.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("metric_key", sa.Text(), nullable=False),
+        sa.Column("metric_value", sa.Float(), nullable=True),
+        sa.Column("metric_unit", sa.Text(), nullable=True),
+        sa.Column("label", sa.Text(), nullable=True),
+        sa.Column("metadata_json", sa.JSON(), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()")),
+    )
+    op.create_index("ix_metrics_quality_check_id", "metrics", ["quality_check_id"])
+    op.create_index("ix_metrics_analysis_run_id", "metrics", ["analysis_run_id"])
+
+
+def downgrade() -> None:
+    op.drop_index("ix_metrics_analysis_run_id", table_name="metrics")
+    op.drop_index("ix_metrics_quality_check_id", table_name="metrics")
+    op.drop_table("metrics")
+    op.drop_index("ix_quality_checks_analysis_run_id", table_name="quality_checks")
+    op.drop_index("ix_quality_checks_candidate_dataset_id", table_name="quality_checks")
+    op.drop_index("ix_quality_checks_reference_dataset_id", table_name="quality_checks")
+    op.drop_index("ix_quality_checks_project_id", table_name="quality_checks")
+    op.drop_table("quality_checks")
+    op.drop_index("ix_vector_features_geometry", table_name="vector_features", postgresql_using="gist")
+    op.drop_index("ix_vector_features_dataset_id", table_name="vector_features")
+    op.drop_table("vector_features")

backend/alembic/versions/202606120800_sprint8_detection_foundation.py

@@ -0,0 +1,59 @@
+"""Add Sprint 8 detection foundation."""
+
+from alembic import op
+import sqlalchemy as sa
+from geoalchemy2 import Geometry
+
+
+revision = "202606120800"
+down_revision = "202606120700"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column("analysis_runs", sa.Column("dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True))
+    op.add_column("analysis_runs", sa.Column("job_id", sa.UUID(as_uuid=True), sa.ForeignKey("jobs.id", ondelete="SET NULL"), nullable=True))
+    op.add_column("analysis_runs", sa.Column("model_name", sa.String(length=255), nullable=True))
+    op.add_column("analysis_runs", sa.Column("model_version", sa.String(length=120), nullable=True))
+    op.add_column("analysis_runs", sa.Column("result_json", sa.JSON(), nullable=True))
+    op.add_column("analysis_runs", sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()"), nullable=False))
+
+    op.create_table(
+        "detections",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("project_id", sa.UUID(as_uuid=True), sa.ForeignKey("projects.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("analysis_run_id", sa.UUID(as_uuid=True), sa.ForeignKey("analysis_runs.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("job_id", sa.UUID(as_uuid=True), sa.ForeignKey("jobs.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("model_name", sa.String(length=255), nullable=False),
+        sa.Column("model_version", sa.String(length=120), nullable=True),
+        sa.Column("class_name", sa.String(length=120), nullable=False),
+        sa.Column("confidence", sa.Float(), nullable=False),
+        sa.Column("geometry", Geometry("GEOMETRY", srid=4326, spatial_index=False), nullable=False),
+        sa.Column("bbox_json", sa.JSON(), nullable=True),
+        sa.Column("source_tile_path", sa.String(length=500), nullable=True),
+        sa.Column("properties_json", sa.JSON(), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()"), nullable=False),
+    )
+    op.create_index("ix_detections_project_id", "detections", ["project_id"])
+    op.create_index("ix_detections_dataset_id", "detections", ["dataset_id"])
+    op.create_index("ix_detections_analysis_run_id", "detections", ["analysis_run_id"])
+    op.create_index("ix_detections_class_name", "detections", ["class_name"])
+    op.create_index("ix_detections_geometry", "detections", ["geometry"], postgresql_using="gist")
+
+
+def downgrade() -> None:
+    op.drop_index("ix_detections_geometry", table_name="detections", postgresql_using="gist")
+    op.drop_index("ix_detections_class_name", table_name="detections")
+    op.drop_index("ix_detections_analysis_run_id", table_name="detections")
+    op.drop_index("ix_detections_dataset_id", table_name="detections")
+    op.drop_index("ix_detections_project_id", table_name="detections")
+    op.drop_table("detections")
+
+    op.drop_column("analysis_runs", "created_at")
+    op.drop_column("analysis_runs", "result_json")
+    op.drop_column("analysis_runs", "model_version")
+    op.drop_column("analysis_runs", "model_name")
+    op.drop_column("analysis_runs", "job_id")
+    op.drop_column("analysis_runs", "dataset_id")

backend/alembic/versions/202606120900_sprint9_segmentation_foundation.py

@@ -0,0 +1,51 @@
+"""Add Sprint 9 segmentation foundation."""
+
+from alembic import op
+import sqlalchemy as sa
+from geoalchemy2 import Geometry
+
+
+revision = "202606120900"
+down_revision = "202606120800"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "segmentations",
+        sa.Column("id", sa.UUID(as_uuid=True), primary_key=True),
+        sa.Column("project_id", sa.UUID(as_uuid=True), sa.ForeignKey("projects.id", ondelete="CASCADE"), nullable=False),
+        sa.Column("dataset_id", sa.UUID(as_uuid=True), sa.ForeignKey("datasets.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("job_id", sa.UUID(as_uuid=True), sa.ForeignKey("jobs.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("analysis_run_id", sa.UUID(as_uuid=True), sa.ForeignKey("analysis_runs.id", ondelete="SET NULL"), nullable=True),
+        sa.Column("model_name", sa.String(length=255), nullable=False),
+        sa.Column("model_version", sa.String(length=120), nullable=True),
+        sa.Column("class_name", sa.String(length=120), nullable=False),
+        sa.Column("confidence", sa.Float(), nullable=True),
+        sa.Column("geometry", Geometry("MultiPolygon", srid=4326, spatial_index=False), nullable=False),
+        sa.Column("bbox_json", sa.JSON(), nullable=True),
+        sa.Column("area_m2", sa.Float(), nullable=True),
+        sa.Column("mask_path", sa.Text(), nullable=True),
+        sa.Column("source_tile_path", sa.String(length=500), nullable=True),
+        sa.Column("tile_index", sa.Integer(), nullable=True),
+        sa.Column("properties_json", sa.JSON(), nullable=True),
+        sa.Column("provenance_json", sa.JSON(), nullable=True),
+        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.text("NOW()"), nullable=False),
+    )
+    op.create_index("ix_segmentations_project_id", "segmentations", ["project_id"])
+    op.create_index("ix_segmentations_dataset_id", "segmentations", ["dataset_id"])
+    op.create_index("ix_segmentations_analysis_run_id", "segmentations", ["analysis_run_id"])
+    op.create_index("ix_segmentations_job_id", "segmentations", ["job_id"])
+    op.create_index("ix_segmentations_class_name", "segmentations", ["class_name"])
+    op.create_index("ix_segmentations_geometry", "segmentations", ["geometry"], postgresql_using="gist")
+
+
+def downgrade() -> None:
+    op.drop_index("ix_segmentations_geometry", table_name="segmentations", postgresql_using="gist")
+    op.drop_index("ix_segmentations_class_name", table_name="segmentations")
+    op.drop_index("ix_segmentations_job_id", table_name="segmentations")
+    op.drop_index("ix_segmentations_analysis_run_id", table_name="segmentations")
+    op.drop_index("ix_segmentations_dataset_id", table_name="segmentations")
+    op.drop_index("ix_segmentations_project_id", table_name="segmentations")
+    op.drop_table("segmentations")