1496 lines
49 KiB
Python
1496 lines
49 KiB
Python
from __future__ import annotations
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from types import SimpleNamespace
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from uuid import uuid4
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from pathlib import Path
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import importlib
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from hashlib import sha256
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from geoalchemy2.shape import from_shape
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from app.core.errors import AppError
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from app.models import Area, Dataset, DatasetVersion
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from app.services.raster_operations_service import RasterOperationsService
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from app.services.storage_service import StorageService
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from app.api.routes.datasets import _run_job_sync
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from shapely.geometry import box
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import pytest
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class FakeSession:
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def __init__(self, datasets=None, areas=None):
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self.datasets = {item.id: item for item in (datasets or [])}
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self.areas = {item.id: item for item in (areas or [])}
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self.added = []
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def get(self, model, item_id):
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if model.__name__ == "Dataset":
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return self.datasets.get(item_id)
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if model.__name__ == "Area":
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return self.areas.get(item_id)
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return None
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def add(self, item):
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self.added.append(item)
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def commit(self):
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return None
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def refresh(self, _item):
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return None
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def test_raster_preview_dependency_aware_when_rasterio_unavailable(monkeypatch, tmp_path) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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source = tmp_path / "raster.tif"
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source.write_bytes(b"\x00\x01")
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dataset = Dataset(
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id=dataset_id,
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project_id=project_id,
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name="raster.tif",
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dataset_type="raster",
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source="user_upload",
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storage_path=str(source),
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original_filename="raster.tif",
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stored_filename="raster.tif",
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content_type="image/tiff",
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size_bytes=2,
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)
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db = FakeSession([dataset])
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monkeypatch.setattr(
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"app.services.raster_operations_service._import_rasterio",
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lambda: (_ for _ in ()).throw(ImportError("rasterio not installed")),
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)
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try:
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RasterOperationsService.preview(db, dataset_id)
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except AppError as exc:
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assert exc.code == "RASTER_PROCESSING_UNAVAILABLE"
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else:
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raise AssertionError("Missing rasterio should raise RASTER_PROCESSING_UNAVAILABLE")
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def test_raster_stats_dependency_aware_when_numpy_unavailable(monkeypatch, tmp_path) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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source = tmp_path / "raster.tif"
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source.write_bytes(b"dummy")
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dataset = Dataset(
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id=dataset_id,
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project_id=project_id,
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name="raster.tif",
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dataset_type="raster",
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source="user_upload",
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storage_path=str(source),
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original_filename="raster.tif",
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stored_filename="raster.tif",
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content_type="image/tiff",
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size_bytes=5,
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)
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db = FakeSession([dataset])
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class FakeRasterio:
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def open(self, *_args, **_kwargs):
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raise AssertionError("stats should fail before opening raster when numpy import fails")
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monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), None))
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monkeypatch.setattr("app.services.raster_operations_service._import_numpy", lambda: (_ for _ in ()).throw(ImportError("numpy not installed")))
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try:
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RasterOperationsService.stats(db, dataset_id)
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except AppError as exc:
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assert exc.code == "RASTER_PROCESSING_UNAVAILABLE"
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else:
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raise AssertionError("Missing numpy should raise RASTER_PROCESSING_UNAVAILABLE for stats")
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def test_raster_preview_returns_metadata_payload(monkeypatch, tmp_path) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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source = tmp_path / "raster.tif"
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source.write_bytes(b"dummy-raster")
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dataset = Dataset(
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id=dataset_id,
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project_id=project_id,
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name="raster.tif",
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dataset_type="raster",
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source="user_upload",
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storage_path=str(source),
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original_filename="raster.tif",
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stored_filename="raster.tif",
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content_type="image/tiff",
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size_bytes=13,
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checksum_sha256="checksum",
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)
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db = FakeSession([dataset])
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class FakeSource:
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width = 200
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height = 120
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count = 4
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def __init__(self):
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self.shape = (4, 120, 200)
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def __enter__(self):
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return self
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def __exit__(self, exc_type, exc, tb):
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return None
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def read(self, *args, **kwargs):
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return [[[1, 2], [3, 4]]]
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class FakeWindowsModule:
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pass
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class FakeRasterio:
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class enums:
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class Resampling:
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nearest = "nearest"
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windows = FakeWindowsModule()
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def open(self, _path):
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return FakeSource()
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metadata = {
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"width": 200,
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"height": 120,
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"band_count": 4,
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"bounds": [0.0, 0.0, 1.0, 1.0],
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"crs": "EPSG:3857",
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"dtype": ["uint8"],
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"resolution": [1.0, 1.0],
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"transform": [1, 0, 0, 0, -1, 0, 0, 0, 1],
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"nodata": None,
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"driver": "GTiff",
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}
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monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), None))
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monkeypatch.setattr(
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"app.services.raster_operations_service.extract_raster_metadata",
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lambda _path: dict(metadata),
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)
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monkeypatch.setattr("app.services.storage_service.get_settings", lambda: SimpleNamespace(storage_root=str(tmp_path)))
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monkeypatch.setattr(
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"app.services.raster_operations_service.RasterOperationsService._write_preview_image",
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lambda _data, _path: (100, 80),
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)
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payload = RasterOperationsService.preview(db, dataset_id)
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assert payload["dataset_id"] == str(dataset_id)
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assert payload["ready"] is True
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assert payload["preview"]["format"] == "PNG"
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assert payload["metadata"]["size_bytes"] == 13
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assert payload["metadata"]["checksum_sha256"] == "checksum"
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def test_raster_reproject_rejects_invalid_crs(monkeypatch, tmp_path) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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source = tmp_path / "raster.tif"
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source.write_bytes(b"dummy")
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dataset = Dataset(
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id=dataset_id,
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project_id=project_id,
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name="raster.tif",
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dataset_type="raster",
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source="user_upload",
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storage_path=str(source),
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original_filename="raster.tif",
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stored_filename="raster.tif",
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content_type="image/tiff",
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size_bytes=5,
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)
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db = FakeSession([dataset])
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class FakeCRS:
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@staticmethod
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def from_user_input(_value):
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raise ValueError("invalid")
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class FakeRasterio:
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class crs:
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CRS = FakeCRS
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def open(self, *_args, **_kwargs):
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raise AssertionError("Invalid CRS should fail before opening raster")
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monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), None))
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try:
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RasterOperationsService.reproject(db, dataset_id, target_crs="not-a-crs", output_name=None)
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except AppError as exc:
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assert exc.code == "INVALID_PARAMETERS"
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else:
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raise AssertionError("Invalid target CRS should fail with INVALID_PARAMETERS")
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def test_raster_reproject_returns_persisted_derived_dataset(monkeypatch, tmp_path) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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output_id = uuid4()
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source = tmp_path / "raster.tif"
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source.write_bytes(b"dummy")
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dataset = Dataset(
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id=dataset_id,
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project_id=project_id,
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name="raster.tif",
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dataset_type="raster",
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source="user_upload",
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storage_path=str(source),
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original_filename="raster.tif",
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stored_filename="raster.tif",
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content_type="image/tiff",
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size_bytes=5,
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)
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db = FakeSession([dataset])
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class FakeWarp:
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@staticmethod
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def calculate_default_transform(*_args, **_kwargs):
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return ("transform", 8, 9)
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@staticmethod
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def reproject(**_kwargs):
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return None
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class FakeResampling:
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nearest = "nearest"
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bilinear = "nearest"
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cubic = "nearest"
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class FakeCRS:
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def __init__(self, value: str):
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self.value = value
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def __str__(self):
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return self.value
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def to_string(self):
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return self.value
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@staticmethod
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def from_user_input(value: str):
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return FakeCRS(value)
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class FakeTransform:
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@staticmethod
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def to_gdal():
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return [1, 0, 0, 0, 1, 0, 0, 0, 1]
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class FakeSource:
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width = 10
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height = 12
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count = 2
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crs = FakeCRS("EPSG:3857")
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transform = FakeTransform()
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nodata = 0
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meta = {
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"driver": "GTiff",
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"dtype": "uint8",
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"count": 2,
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"width": 10,
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"height": 12,
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"crs": "EPSG:3857",
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"transform": FakeTransform(),
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}
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@staticmethod
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def band(_source, band_index):
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return (band_index,)
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def __enter__(self):
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return self
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def __exit__(self, exc_type, exc, tb):
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return None
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class FakeOutput:
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def __init__(self, path: str):
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self._path = Path(path)
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def write(self, _data):
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self._path.parent.mkdir(parents=True, exist_ok=True)
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self._path.write_bytes(b"reprojected")
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def __enter__(self):
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return self
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def __exit__(self, exc_type, exc, tb):
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return None
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class FakeRasterio:
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crs = FakeCRS
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enums = type("enums", (), {"Resampling": FakeResampling})
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band = FakeSource.band
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warp = FakeWarp
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windows = type("windows", (), {})
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def open(self, path: str, mode: str = "r", **_kwargs):
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if "w" in mode:
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return FakeOutput(path)
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return FakeSource()
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metadata = {
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"width": 8,
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"height": 9,
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"band_count": 2,
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"bounds": [0.0, 0.0, 8.0, 9.0],
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"crs": "EPSG:31370",
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"dtype": ["uint8", "uint8"],
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"resolution": [1.0, 1.0],
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"transform": [1, 0, 0, 0, -1, 0, 0, 0, 1],
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"nodata": None,
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"driver": "GTiff",
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}
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monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), None))
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monkeypatch.setattr("app.services.raster_operations_service.extract_raster_metadata", lambda _path: dict(metadata))
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monkeypatch.setattr("app.services.storage_service.get_settings", lambda: SimpleNamespace(storage_root=str(tmp_path)))
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monkeypatch.setattr("uuid.uuid4", lambda: output_id)
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result_id = RasterOperationsService.reproject(
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db,
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dataset_id=dataset_id,
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target_crs="EPSG:31370",
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output_name="reprojected_raster",
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)
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assert result_id == output_id
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assert len(db.added) == 2
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derived = db.added[0]
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version = db.added[1]
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assert isinstance(version, DatasetVersion)
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assert version.dataset_id == output_id
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assert version.version == 1
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assert derived.id == output_id
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assert derived.metadata_json is not None
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assert derived.metadata_json["operation"] == "raster.reproject"
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assert derived.metadata_json["source_dataset_id"] == str(dataset_id)
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assert derived.metadata_json["operation_parameters"]["target_crs"] == "EPSG:31370"
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assert derived.metadata_json["target_crs"] == "EPSG:31370"
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assert derived.metadata_json["output_dataset_id"] == str(output_id)
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def test_raster_inspect_returns_payload(monkeypatch, tmp_path) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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source = tmp_path / "raster.tif"
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source.write_bytes(b"dummy-raster")
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dataset = Dataset(
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id=dataset_id,
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project_id=project_id,
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name="raster.tif",
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dataset_type="raster",
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source="user_upload",
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storage_path=str(source),
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original_filename="raster.tif",
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stored_filename="raster.tif",
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content_type="image/tiff",
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size_bytes=13,
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checksum_sha256="checksum",
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)
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db = FakeSession([dataset])
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metadata = {
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"width": 200,
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"height": 120,
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"band_count": 4,
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"bounds": [0.0, 0.0, 1.0, 1.0],
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"crs": "EPSG:3857",
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"dtype": ["uint8"],
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"resolution": [1.0, 1.0],
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"transform": [1, 0, 0, 0, -1, 0, 0, 0, 1],
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"nodata": None,
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"driver": "GTiff",
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}
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monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (SimpleNamespace(), None))
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monkeypatch.setattr("app.services.raster_operations_service.extract_raster_metadata", lambda _path: dict(metadata))
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payload = RasterOperationsService.inspect(db, dataset_id)
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assert payload["dataset_id"] == str(dataset_id)
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assert payload["ready"] is True
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assert payload["metadata"]["driver"] == "GTiff"
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assert payload["metadata"]["dataset_id"] == str(dataset_id)
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assert payload["metadata"]["size_bytes"] == 13
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def test_raster_inspect_rejects_non_raster_dataset(monkeypatch, tmp_path) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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source = tmp_path / "not-raster.json"
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source.write_text("{}", encoding="utf-8")
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dataset = Dataset(
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id=dataset_id,
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project_id=project_id,
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name="not-raster.json",
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dataset_type="vector",
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source="user_upload",
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storage_path=str(source),
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original_filename="not-raster.json",
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stored_filename="not-raster.json",
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content_type="application/geo+json",
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)
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db = FakeSession([dataset])
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monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (SimpleNamespace(), None))
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try:
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RasterOperationsService.inspect(db, dataset_id)
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except AppError as exc:
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assert exc.code == "INVALID_DATASET_TYPE"
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else:
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raise AssertionError("Inspecting vector dataset as raster should fail")
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|
|
|
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def test_raster_tile_dependency_aware_when_rasterio_unavailable(monkeypatch, tmp_path) -> None:
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project_id = uuid4()
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dataset_id = uuid4()
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source = tmp_path / "raster.tif"
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source.write_bytes(b"\x00\x01")
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dataset = Dataset(
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id=dataset_id,
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project_id=project_id,
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name="raster.tif",
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dataset_type="raster",
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source="user_upload",
|
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storage_path=str(source),
|
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original_filename="raster.tif",
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stored_filename="raster.tif",
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content_type="image/tiff",
|
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size_bytes=2,
|
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)
|
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db = FakeSession([dataset])
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monkeypatch.setattr(
|
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"app.services.raster_operations_service._import_rasterio",
|
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lambda: (_ for _ in ()).throw(ImportError("rasterio not installed")),
|
|
)
|
|
try:
|
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RasterOperationsService.tile(db, dataset_id, tile_size=512, overlap=64)
|
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except AppError as exc:
|
|
assert exc.code == "RASTER_PROCESSING_UNAVAILABLE"
|
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else:
|
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raise AssertionError("Missing rasterio should raise RASTER_PROCESSING_UNAVAILABLE for tile")
|
|
|
|
|
|
def test_raster_tile_validation_rejects_bad_parameters() -> None:
|
|
try:
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RasterOperationsService._validate_tile_request(tile_size=0, overlap=0)
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except AppError as exc:
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|
assert exc.code == "INVALID_PARAMETERS"
|
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else:
|
|
raise AssertionError("Tile size 0 should be rejected")
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|
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try:
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RasterOperationsService._validate_tile_request(tile_size=256, overlap=300)
|
|
except AppError as exc:
|
|
assert exc.code == "INVALID_PARAMETERS"
|
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else:
|
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raise AssertionError("Overlap larger than tile size should be rejected")
|
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|
|
|
|
def test_raster_clip_rejects_non_raster_dataset(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
area_id = uuid4()
|
|
source = tmp_path / "not-raster.geojson"
|
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source.write_text("{}", encoding="utf-8")
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dataset = Dataset(
|
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id=dataset_id,
|
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project_id=project_id,
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name="not-raster.geojson",
|
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dataset_type="vector",
|
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source="user_upload",
|
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storage_path=str(source),
|
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original_filename="not-raster.geojson",
|
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stored_filename="not-raster.geojson",
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content_type="application/geo+json",
|
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)
|
|
area = Area(id=area_id, project_id=project_id, geometry="POINT(0 0)", original_crs="EPSG:4326")
|
|
db = FakeSession([dataset], [area])
|
|
try:
|
|
RasterOperationsService.clip(db, dataset_id, area_id, None)
|
|
except AppError as exc:
|
|
assert exc.code == "INVALID_DATASET_TYPE"
|
|
else:
|
|
raise AssertionError("Clipping vector dataset as raster should fail")
|
|
|
|
|
|
def test_raster_clip_rejects_missing_area(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
area_id = uuid4()
|
|
source = tmp_path / "raster.tif"
|
|
source.write_bytes(b"\x00\x01")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="raster.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="raster.tif",
|
|
stored_filename="raster.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=2,
|
|
)
|
|
db = FakeSession([dataset], [])
|
|
monkeypatch.setattr(
|
|
"app.services.raster_operations_service._import_rasterio",
|
|
lambda: (SimpleNamespace(), SimpleNamespace()),
|
|
)
|
|
try:
|
|
RasterOperationsService.clip(db, dataset_id, area_id, None)
|
|
except AppError as exc:
|
|
assert exc.code == "AREA_NOT_FOUND"
|
|
else:
|
|
raise AssertionError("Clipping without area should fail with AREA_NOT_FOUND")
|
|
|
|
|
|
def test_raster_tile_returns_manifest_payload(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
source = tmp_path / "raster.tif"
|
|
source.write_bytes(b"source")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="raster.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="raster.tif",
|
|
stored_filename="raster.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=6,
|
|
)
|
|
db = FakeSession([dataset])
|
|
|
|
class FakeArray:
|
|
shape = (1, 10, 10)
|
|
|
|
@property
|
|
def size(self):
|
|
return self.shape[0] * self.shape[1] * self.shape[2]
|
|
|
|
class FakeWindow:
|
|
def __init__(self, xoff: float, yoff: float, width: float, height: float):
|
|
self.xoff = xoff
|
|
self.yoff = yoff
|
|
self.width = width
|
|
self.height = height
|
|
|
|
class FakeWindowTransform:
|
|
def __init__(self, xoff: float, yoff: float, width: float, height: float):
|
|
self.xoff = xoff
|
|
self.yoff = yoff
|
|
self.width = width
|
|
self.height = height
|
|
|
|
def to_gdal(self):
|
|
return [1.0, 0.0, self.xoff, 0.0, -1.0, self.yoff, 0.0, 0.0, 1.0]
|
|
|
|
class FakeWindowBounds:
|
|
def __init__(self, xoff: float, yoff: float, width: float, height: float):
|
|
self.left = float(xoff)
|
|
self.right = float(xoff + width)
|
|
self.bottom = float(yoff)
|
|
self.top = float(yoff + height)
|
|
|
|
class FakeWindows:
|
|
@staticmethod
|
|
def Window(xoff: float, yoff: float, width: float, height: float):
|
|
return FakeWindow(xoff, yoff, width, height)
|
|
|
|
@staticmethod
|
|
def transform(window: FakeWindow, _source_transform):
|
|
return FakeWindowTransform(window.xoff, window.yoff, window.width, window.height)
|
|
|
|
@staticmethod
|
|
def bounds(window: FakeWindow, _source_transform):
|
|
return (
|
|
float(window.xoff),
|
|
float(window.yoff),
|
|
float(window.xoff + window.width),
|
|
float(window.yoff + window.height),
|
|
)
|
|
|
|
class FakeCRS:
|
|
def to_string(self):
|
|
return "EPSG:31370"
|
|
|
|
class FakeSource:
|
|
width = 10
|
|
height = 10
|
|
|
|
def __init__(self):
|
|
self.profile = {"width": self.width, "height": self.height, "count": 1, "dtype": "uint8", "transform": None}
|
|
self.transform = None
|
|
self.nodata = 0
|
|
self.crs = FakeCRS()
|
|
|
|
def read(self, *args, **kwargs):
|
|
return FakeArray()
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
class FakeOutput:
|
|
def __init__(self, path: Path):
|
|
self._path = path
|
|
|
|
def write(self, _data):
|
|
self._path.parent.mkdir(parents=True, exist_ok=True)
|
|
self._path.write_text("tile")
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
class FakeRasterio:
|
|
windows = FakeWindows
|
|
|
|
def __call__(self, *_args, **_kwargs):
|
|
return FakeSource()
|
|
|
|
def open(self, path: str, mode: str = "r", **_kwargs):
|
|
if mode and "w" in mode:
|
|
return FakeOutput(Path(path))
|
|
return FakeSource()
|
|
|
|
fake_rasterio = FakeRasterio()
|
|
|
|
monkeypatch.setattr(
|
|
"app.services.raster_operations_service._import_rasterio",
|
|
lambda: (fake_rasterio, SimpleNamespace()),
|
|
)
|
|
|
|
payload = RasterOperationsService.tile(db, dataset_id, tile_size=4, overlap=1, output_name="fixture")
|
|
|
|
assert payload["dataset_id"] == str(dataset_id)
|
|
assert payload["ready"] is True
|
|
assert payload["tile_set_id"] is not None
|
|
assert payload["count"] >= 1
|
|
assert payload["count"] == len(payload["manifest"]["tiles"])
|
|
assert payload["count"] == len(payload["manifest"]["tile_paths"])
|
|
assert payload["manifest"]["tiles"][0]["index"] == 0
|
|
assert payload["manifest_path"].endswith(".json")
|
|
assert payload["manifest"]["tile_size"] == 4
|
|
assert payload["manifest"]["overlap"] == 1
|
|
assert payload["manifest"]["source_dataset_id"] == str(dataset_id)
|
|
assert payload["manifest"]["source_raster_id"] == str(dataset_id)
|
|
assert payload["manifest"]["crs"] == "EPSG:31370"
|
|
assert payload["manifest"]["source_crs"] == "EPSG:31370"
|
|
assert payload["manifest"]["count"] == payload["count"]
|
|
assert payload["manifest"]["tiles"][0]["crs"] == "EPSG:31370"
|
|
assert payload["manifest"]["tiles"][0]["bounds"] == [0.0, 0.0, 4.0, 4.0]
|
|
assert payload["manifest"]["ai_inference"] is False
|
|
assert payload["manifest"]["tile_server"] is None
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
("dimension", "expected"),
|
|
[
|
|
(512, [0]),
|
|
(513, [0, 1]),
|
|
(960, [0, 448]),
|
|
(961, [0, 448, 449]),
|
|
],
|
|
)
|
|
def test_raster_tile_offsets_use_full_tiles_and_one_unique_edge_start(dimension, expected) -> None:
|
|
assert RasterOperationsService._tile_offsets(dimension, tile_size=512, step=448) == expected
|
|
|
|
|
|
def test_raster_tile_rejects_limit_before_creating_output(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
source = tmp_path / "large-raster.tif"
|
|
source.write_bytes(b"source")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="large-raster.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="large-raster.tif",
|
|
stored_filename="large-raster.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=6,
|
|
)
|
|
db = FakeSession([dataset])
|
|
|
|
class FakeSource:
|
|
width = 2048
|
|
height = 2048
|
|
count = 1
|
|
crs = None
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
fake_rasterio = SimpleNamespace(open=lambda _path: FakeSource())
|
|
monkeypatch.setattr(
|
|
"app.services.raster_operations_service._import_rasterio",
|
|
lambda: (fake_rasterio, SimpleNamespace()),
|
|
)
|
|
tile_root = tmp_path / "tiles-that-must-not-exist"
|
|
monkeypatch.setattr(
|
|
StorageService,
|
|
"raster_tiles_root",
|
|
staticmethod(lambda *_args: tile_root),
|
|
)
|
|
|
|
with pytest.raises(AppError) as error:
|
|
RasterOperationsService.tile(db, dataset_id, tile_size=512, overlap=64, max_tiles=1)
|
|
|
|
assert error.value.code == "RASTER_TILE_LIMIT_EXCEEDED"
|
|
assert error.value.details == {"expected_tile_count": 25, "max_tiles": 1}
|
|
assert not tile_root.exists()
|
|
|
|
|
|
def test_raster_tile_rejects_changed_source_bytes_before_creating_output(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
source = tmp_path / "changed-raster.tif"
|
|
source.write_bytes(b"changed")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="changed-raster.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="changed-raster.tif",
|
|
stored_filename="changed-raster.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=7,
|
|
checksum_sha256=sha256(b"original").hexdigest(),
|
|
data_contract_key="raster.generic",
|
|
)
|
|
db = FakeSession([dataset])
|
|
tile_root = tmp_path / "tiles-that-must-not-exist"
|
|
monkeypatch.setattr(
|
|
StorageService,
|
|
"raster_tiles_root",
|
|
staticmethod(lambda *_args: tile_root),
|
|
)
|
|
|
|
with pytest.raises(AppError) as error:
|
|
RasterOperationsService.tile(db, dataset_id)
|
|
|
|
assert error.value.code == "DATASET_STORAGE_CHECKSUM_MISMATCH"
|
|
assert not tile_root.exists()
|
|
|
|
|
|
def test_raster_clip_persists_derived_dataset(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
source = tmp_path / "source.tif"
|
|
source.write_bytes(b"source")
|
|
output_id = uuid4()
|
|
area_id = uuid4()
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="source.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="source.tif",
|
|
stored_filename="source.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=6,
|
|
)
|
|
area = Area(
|
|
id=area_id,
|
|
project_id=project_id,
|
|
geometry=from_shape(box(0.0, 0.0, 1.0, 1.0), srid=4326),
|
|
original_crs="EPSG:4326",
|
|
)
|
|
db = FakeSession([dataset], [area])
|
|
|
|
class FakeClippedData:
|
|
shape = (1, 3, 4)
|
|
|
|
@property
|
|
def size(self):
|
|
return 12
|
|
|
|
class FakeOutput:
|
|
def __init__(self, output_file: Path):
|
|
self.output_file = output_file
|
|
|
|
def write(self, _data):
|
|
self.output_file.parent.mkdir(parents=True, exist_ok=True)
|
|
self.output_file.write_bytes(b"derived")
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
class FakeSource:
|
|
width = 10
|
|
height = 10
|
|
crs = SimpleNamespace(to_string=lambda: "EPSG:3857")
|
|
nodata = 0.0
|
|
profile = {"width": 10, "height": 10, "count": 1, "dtype": "uint8", "transform": "identity"}
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
class FakeMask:
|
|
@staticmethod
|
|
def mask(_source, _geom, crop=True, nodata=None, filled=True):
|
|
return FakeClippedData(), SimpleNamespace(to_gdal=lambda: [1, 0, 0, 0, 1, 0, 0, 0, 1])
|
|
|
|
class FakeRasterio:
|
|
mask = FakeMask()
|
|
|
|
def open(self, path: str, mode: str = "r", **_kwargs):
|
|
if "w" in mode:
|
|
return FakeOutput(Path(path))
|
|
return FakeSource()
|
|
|
|
metadata = {
|
|
"width": 4,
|
|
"height": 3,
|
|
"band_count": 1,
|
|
"bounds": [0.0, 0.0, 4.0, 3.0],
|
|
"crs": "EPSG:3857",
|
|
"dtype": ["uint8"],
|
|
"resolution": [1.0, 1.0],
|
|
"transform": [1, 0, 0, 0, -1, 0, 0, 0, 1],
|
|
"nodata": None,
|
|
"driver": "GTiff",
|
|
}
|
|
monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), None))
|
|
monkeypatch.setattr("app.services.raster_operations_service.extract_raster_metadata", lambda _path: dict(metadata))
|
|
monkeypatch.setattr("app.services.storage_service.get_settings", lambda: SimpleNamespace(storage_root=str(tmp_path)))
|
|
|
|
# Force a deterministic derived output id so we can assert provenance fields.
|
|
monkeypatch.setattr(
|
|
"uuid.uuid4",
|
|
lambda: output_id,
|
|
)
|
|
|
|
result_id = RasterOperationsService.clip(db, dataset_id, area_id, "clip-result.tif")
|
|
|
|
assert result_id == output_id
|
|
assert len(db.added) == 2
|
|
derived = db.added[0]
|
|
version = db.added[1]
|
|
assert isinstance(derived, Dataset)
|
|
assert isinstance(version, DatasetVersion)
|
|
assert version.dataset_id == output_id
|
|
assert version.version == 1
|
|
assert derived.id == output_id
|
|
assert derived.source == "operation:raster.clip"
|
|
assert derived.dataset_type == "raster"
|
|
assert derived.derived_from_dataset_id == dataset_id
|
|
assert derived.metadata_json is not None
|
|
assert derived.metadata_json.get("operation") == "raster.clip"
|
|
assert derived.metadata_json.get("source_dataset_id") == str(dataset_id)
|
|
assert derived.metadata_json.get("operation_parameters", {}).get("area_id") == str(area_id)
|
|
assert derived.storage_path is not None
|
|
assert Path(derived.storage_path).exists()
|
|
|
|
|
|
def test_raster_clip_rejects_dataset_without_crs(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
area_id = uuid4()
|
|
source = tmp_path / "raster.tif"
|
|
source.write_bytes(b"\x00\x01")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="raster.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="raster.tif",
|
|
stored_filename="raster.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=2,
|
|
)
|
|
area = Area(id=area_id, project_id=project_id, geometry=from_shape(box(0.0, 0.0, 1.0, 1.0), srid=4326), original_crs="EPSG:4326")
|
|
db = FakeSession([dataset], [area])
|
|
|
|
class FakeSource:
|
|
width = 10
|
|
height = 10
|
|
crs = None
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
class FakeRasterio:
|
|
def open(self, _path):
|
|
return FakeSource()
|
|
|
|
monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), SimpleNamespace()))
|
|
try:
|
|
RasterOperationsService.clip(db, dataset_id, area_id, None)
|
|
except AppError as exc:
|
|
assert exc.code == "INVALID_DATASET_CRS"
|
|
else:
|
|
raise AssertionError("Clipping raster without CRS should fail")
|
|
|
|
|
|
def test_run_job_sync_persists_job_output_dataset_for_raster_ops(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
|
|
recorded = {}
|
|
|
|
class FakeJobRecord:
|
|
def __init__(self, job_id):
|
|
self.id = job_id
|
|
self.job_type = "raster.reproject"
|
|
self.status = "success"
|
|
self.project_id = project_id
|
|
self.dataset_id = None
|
|
self.input_dataset_id = dataset_id
|
|
self.output_dataset_id = None
|
|
self.parameters_json = {}
|
|
self.result_json = {}
|
|
self.error_message = None
|
|
self.created_at = None
|
|
self.started_at = None
|
|
self.finished_at = None
|
|
|
|
def model_dump(self) -> dict:
|
|
return {
|
|
"id": self.id,
|
|
"job_type": self.job_type,
|
|
"status": self.status,
|
|
"project_id": self.project_id,
|
|
"dataset_id": self.dataset_id,
|
|
"input_dataset_id": self.input_dataset_id,
|
|
"output_dataset_id": self.output_dataset_id,
|
|
"parameters_json": self.parameters_json,
|
|
"result_json": self.result_json,
|
|
"error_message": self.error_message,
|
|
"created_at": self.created_at,
|
|
"started_at": self.started_at,
|
|
"finished_at": self.finished_at,
|
|
}
|
|
|
|
fake_job_id = uuid4()
|
|
fake_output_dataset_id = uuid4()
|
|
|
|
def fake_create_job(_db, payload):
|
|
recorded["payload"] = payload
|
|
return FakeJobRecord(fake_job_id)
|
|
|
|
def fake_mark_running(_db, _job_id):
|
|
recorded["running_called_with"] = _job_id
|
|
return FakeJobRecord(fake_job_id)
|
|
|
|
def fake_mark_success(_db, _job_id, result=None, output_dataset_id=None):
|
|
record = FakeJobRecord(fake_job_id)
|
|
record.result_json = result
|
|
record.output_dataset_id = output_dataset_id
|
|
return record
|
|
|
|
def fake_mark_failed(*_args, **_kwargs):
|
|
raise AssertionError("Raster job failure path should not execute")
|
|
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.create_job", fake_create_job)
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.mark_running", fake_mark_running)
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.mark_success", fake_mark_success)
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.mark_failed", fake_mark_failed)
|
|
|
|
result = _run_job_sync(
|
|
db=SimpleNamespace(add=lambda _item: None, commit=lambda: None, refresh=lambda _item: None),
|
|
project_id=project_id,
|
|
input_dataset_id=dataset_id,
|
|
job_type="raster.reproject",
|
|
parameters={},
|
|
operation=lambda: fake_output_dataset_id,
|
|
)
|
|
|
|
assert result["output_dataset_id"] == str(fake_output_dataset_id)
|
|
assert result["result_json"]["output_dataset_id"] == str(fake_output_dataset_id)
|
|
assert recorded["running_called_with"] == fake_job_id
|
|
|
|
|
|
def test_run_job_sync_records_raster_job_error(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
recorded = {}
|
|
|
|
class FakeJobRecord:
|
|
def __init__(self, job_id):
|
|
self.id = job_id
|
|
self.job_type = "raster.clip"
|
|
self.status = "failed"
|
|
self.project_id = project_id
|
|
self.dataset_id = None
|
|
self.input_dataset_id = dataset_id
|
|
self.output_dataset_id = None
|
|
self.parameters_json = {}
|
|
self.result_json = {}
|
|
self.error_message = "Operation failed"
|
|
self.created_at = None
|
|
self.started_at = None
|
|
self.finished_at = None
|
|
|
|
def model_dump(self) -> dict:
|
|
return {
|
|
"id": self.id,
|
|
"job_type": self.job_type,
|
|
"status": self.status,
|
|
"project_id": self.project_id,
|
|
"dataset_id": self.dataset_id,
|
|
"input_dataset_id": self.input_dataset_id,
|
|
"output_dataset_id": self.output_dataset_id,
|
|
"parameters_json": self.parameters_json,
|
|
"result_json": self.result_json,
|
|
"error_message": self.error_message,
|
|
"created_at": self.created_at,
|
|
"started_at": self.started_at,
|
|
"finished_at": self.finished_at,
|
|
}
|
|
|
|
fake_job_id = uuid4()
|
|
|
|
def fake_create_job(_db, _payload):
|
|
return FakeJobRecord(fake_job_id)
|
|
|
|
def fake_mark_running(_db, _job_id):
|
|
recorded["running_called_with"] = _job_id
|
|
return FakeJobRecord(fake_job_id)
|
|
|
|
def fake_mark_failed(_db, _job_id, error_message, details):
|
|
record = FakeJobRecord(_job_id)
|
|
record.error_message = error_message
|
|
record.result_json = details
|
|
recorded["mark_failed_payload"] = {"error_message": error_message, "details": details}
|
|
return record
|
|
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.create_job", fake_create_job)
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.mark_running", fake_mark_running)
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.mark_failed", fake_mark_failed)
|
|
|
|
try:
|
|
_run_job_sync(
|
|
db=SimpleNamespace(add=lambda _item: None, commit=lambda: None, refresh=lambda _item: None),
|
|
project_id=project_id,
|
|
input_dataset_id=dataset_id,
|
|
job_type="raster.reproject",
|
|
parameters={},
|
|
operation=lambda: (_ for _ in ()).throw(AppError(code="INVALID_DATASET_CRS", message="Missing CRS", status_code=400)),
|
|
)
|
|
raise AssertionError("Expected AppError to be raised")
|
|
except AppError as exc:
|
|
assert exc.code == "INVALID_DATASET_CRS"
|
|
|
|
assert recorded["running_called_with"] == fake_job_id
|
|
assert recorded["mark_failed_payload"]["error_message"] == "Missing CRS"
|
|
assert recorded["mark_failed_payload"]["details"]["code"] == "INVALID_DATASET_CRS"
|
|
|
|
|
|
def test_raster_clip_rejects_empty_raster_clip(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
area_id = uuid4()
|
|
source = tmp_path / "source.tif"
|
|
source.write_bytes(b"source")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="source.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="source.tif",
|
|
stored_filename="source.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=6,
|
|
)
|
|
area = Area(
|
|
id=area_id,
|
|
project_id=project_id,
|
|
geometry=from_shape(box(0.0, 0.0, 1.0, 1.0), srid=4326),
|
|
original_crs="EPSG:4326",
|
|
)
|
|
db = FakeSession([dataset], [area])
|
|
|
|
class FakeOutputData:
|
|
size = 0
|
|
|
|
class FakeMask:
|
|
@staticmethod
|
|
def mask(_source, _geom, crop=True, nodata=None, filled=True):
|
|
return FakeOutputData(), SimpleNamespace(to_gdal=lambda: [1, 0, 0, 0, 1, 0, 0, 0, 1])
|
|
|
|
class FakeSource:
|
|
width = 10
|
|
height = 10
|
|
crs = SimpleNamespace(to_string=lambda: "EPSG:3857")
|
|
nodata = 0
|
|
profile = {"width": 10, "height": 10, "count": 1, "dtype": "uint8", "transform": "identity"}
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
class FakeRasterio:
|
|
mask = FakeMask()
|
|
|
|
def open(self, _path):
|
|
return FakeSource()
|
|
|
|
monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), SimpleNamespace()))
|
|
monkeypatch.setattr(
|
|
"app.services.raster_operations_service._import_numpy",
|
|
lambda: SimpleNamespace(asarray=lambda _values: _values, isfinite=lambda _values: False),
|
|
)
|
|
try:
|
|
RasterOperationsService.clip(db, dataset_id, area_id, None)
|
|
except AppError as exc:
|
|
assert exc.code == "RASTER_OPERATION_EMPTY_RESULT"
|
|
else:
|
|
raise AssertionError("Clip that produces no raster data should fail")
|
|
|
|
|
|
def test_raster_ndvi_rejects_invalid_band_index(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
source = tmp_path / "source.tif"
|
|
source.write_bytes(b"source")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="source.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="source.tif",
|
|
stored_filename="source.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=6,
|
|
)
|
|
db = FakeSession([dataset])
|
|
|
|
class FakeSource:
|
|
width = 4
|
|
height = 4
|
|
count = 3
|
|
profile = {"dtype": "uint16", "count": 3, "width": 4, "height": 4}
|
|
nodata = 0
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
class FakeRasterio:
|
|
def open(self, path, *args, **kwargs):
|
|
return FakeSource()
|
|
|
|
monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), None))
|
|
monkeypatch.setattr(
|
|
"app.services.raster_operations_service._import_numpy",
|
|
lambda: importlib.import_module("numpy"),
|
|
)
|
|
try:
|
|
RasterOperationsService.ndvi(db, dataset_id, nir_band=4, red_band=1)
|
|
except AppError as exc:
|
|
assert exc.code == "INVALID_PARAMETERS"
|
|
assert "nir_band exceeds available band count" in exc.message
|
|
else:
|
|
raise AssertionError("Band index exceeding source band count should fail")
|
|
|
|
|
|
def test_raster_ndvi_dependency_aware(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
source = tmp_path / "source.tif"
|
|
source.write_bytes(b"source")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="source.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="source.tif",
|
|
stored_filename="source.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=6,
|
|
)
|
|
db = FakeSession([dataset])
|
|
|
|
monkeypatch.setattr(
|
|
"app.services.raster_operations_service._import_rasterio",
|
|
lambda: (_ for _ in ()).throw(ImportError("rasterio not installed")),
|
|
)
|
|
try:
|
|
RasterOperationsService.ndvi(db, dataset_id, nir_band=1, red_band=1)
|
|
except AppError as exc:
|
|
assert exc.code == "RASTER_PROCESSING_UNAVAILABLE"
|
|
else:
|
|
raise AssertionError("Missing rasterio should raise RASTER_PROCESSING_UNAVAILABLE for spectral index")
|
|
|
|
|
|
def test_raster_ndbi_dependency_aware_when_numpy_missing(monkeypatch, tmp_path) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
source = tmp_path / "source.tif"
|
|
source.write_bytes(b"source")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="source.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="source.tif",
|
|
stored_filename="source.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=6,
|
|
)
|
|
db = FakeSession([dataset])
|
|
|
|
class FakeSource:
|
|
width = 4
|
|
height = 4
|
|
count = 6
|
|
profile = {"dtype": "uint16", "count": 6, "width": 4, "height": 4}
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
def read(self, *_args, **_kwargs):
|
|
raise AssertionError("ndbi should fail before raster read when numpy is unavailable")
|
|
|
|
class FakeRasterio:
|
|
def open(self, path, *args, **kwargs):
|
|
return FakeSource()
|
|
|
|
monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), None))
|
|
monkeypatch.setattr(
|
|
"app.services.raster_operations_service._import_numpy",
|
|
lambda: (_ for _ in ()).throw(ImportError("numpy missing")),
|
|
)
|
|
|
|
try:
|
|
RasterOperationsService.ndbi(db, dataset_id, swir_band=1, nir_band=2)
|
|
except AppError as exc:
|
|
assert exc.code == "RASTER_PROCESSING_UNAVAILABLE"
|
|
else:
|
|
raise AssertionError("Missing numpy should raise RASTER_PROCESSING_UNAVAILABLE for spectral index")
|
|
|
|
|
|
def test_raster_index_records_provenance_and_dtype(tmp_path, monkeypatch) -> None:
|
|
try:
|
|
numpy = importlib.import_module("numpy")
|
|
except Exception as exc:
|
|
pytest.skip(f"numpy unavailable: {exc}")
|
|
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
source = tmp_path / "source.tif"
|
|
source.write_bytes(b"source")
|
|
dataset = Dataset(
|
|
id=dataset_id,
|
|
project_id=project_id,
|
|
name="source.tif",
|
|
dataset_type="raster",
|
|
source="user_upload",
|
|
storage_path=str(source),
|
|
original_filename="source.tif",
|
|
stored_filename="source.tif",
|
|
content_type="image/tiff",
|
|
size_bytes=6,
|
|
)
|
|
output_dataset_id = uuid4()
|
|
db = FakeSession([dataset])
|
|
|
|
class FakeOutput:
|
|
def __init__(self, path: Path):
|
|
self.path = path
|
|
|
|
def write(self, _data, indexes=1, window=None):
|
|
self.path.parent.mkdir(parents=True, exist_ok=True)
|
|
self.path.write_bytes(b"indexed")
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
class FakeSource:
|
|
width = 4
|
|
height = 4
|
|
count = 4
|
|
nodata = 0
|
|
profile = {
|
|
"driver": "GTiff",
|
|
"dtype": "uint16",
|
|
"count": 4,
|
|
"width": 4,
|
|
"height": 4,
|
|
"transform": "identity",
|
|
}
|
|
|
|
def read(self, band_index, window=None, out_dtype=None):
|
|
return numpy.array(
|
|
[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]],
|
|
dtype=out_dtype,
|
|
)
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, exc_type, exc, tb):
|
|
return None
|
|
|
|
class FakeWindows:
|
|
@staticmethod
|
|
def Window(xoff, yoff, width, height):
|
|
return (xoff, yoff, width, height)
|
|
|
|
class FakeRasterio:
|
|
windows = FakeWindows
|
|
|
|
def open(self, path: str, mode: str = "r", **_kwargs):
|
|
if "w" in mode:
|
|
return FakeOutput(Path(path))
|
|
return FakeSource()
|
|
|
|
metadata = {
|
|
"width": 4,
|
|
"height": 4,
|
|
"band_count": 4,
|
|
"bounds": [0.0, 0.0, 4.0, 4.0],
|
|
"crs": "EPSG:31370",
|
|
"dtype": ["uint16"],
|
|
"resolution": [1.0, 1.0],
|
|
"transform": [1, 0, 0, 0, -1, 0, 0, 0, 1],
|
|
"nodata": None,
|
|
"driver": "GTiff",
|
|
}
|
|
|
|
monkeypatch.setattr("app.services.raster_operations_service._import_rasterio", lambda: (FakeRasterio(), None))
|
|
monkeypatch.setattr("app.services.raster_operations_service._import_numpy", lambda: numpy)
|
|
monkeypatch.setattr("app.services.raster_operations_service.extract_raster_metadata", lambda _path: dict(metadata))
|
|
monkeypatch.setattr("app.services.storage_service.get_settings", lambda: SimpleNamespace(storage_root=str(tmp_path)))
|
|
monkeypatch.setattr("uuid.uuid4", lambda: output_dataset_id)
|
|
|
|
result_dataset_id = RasterOperationsService.ndvi(db, dataset_id, nir_band=4, red_band=3, output_name="ndvi-test")
|
|
assert result_dataset_id == output_dataset_id
|
|
assert len(db.added) == 2
|
|
derived = db.added[0]
|
|
version = db.added[1]
|
|
assert isinstance(version, DatasetVersion)
|
|
assert version.dataset_id == output_dataset_id
|
|
assert version.version == 1
|
|
assert derived.id == output_dataset_id
|
|
assert derived.metadata_json is not None
|
|
assert derived.metadata_json["operation"] == "raster.ndvi"
|
|
assert derived.metadata_json["source_dataset_id"] == str(dataset_id)
|
|
assert derived.metadata_json["band_mapping"]["nir_band"] == 4
|
|
assert derived.metadata_json["band_mapping"]["red_band"] == 3
|
|
assert derived.metadata_json["formula"] == "(nir - red) / (nir + red)"
|
|
assert derived.metadata_json["output_dtype"] == "float32"
|
|
assert derived.metadata_json["nodata_strategy"]["mode"] == "nan"
|
|
assert "path" in derived.metadata_json
|
|
assert derived.metadata_json["path"] == derived.storage_path
|
|
assert derived.storage_path is not None
|
|
assert derived.metadata_json["created_at"] is not None
|
|
assert derived.metadata_json["output_dataset_id"] == str(output_dataset_id)
|
|
|
|
|
|
def test_run_job_sync_serializes_index_job_output_dataset_id(monkeypatch) -> None:
|
|
project_id = uuid4()
|
|
dataset_id = uuid4()
|
|
output_dataset_id = uuid4()
|
|
|
|
class FakeJobRecord:
|
|
def __init__(self, job_id):
|
|
self.id = job_id
|
|
self.job_type = "raster.ndvi"
|
|
self.status = "success"
|
|
self.project_id = project_id
|
|
self.dataset_id = None
|
|
self.input_dataset_id = dataset_id
|
|
self.output_dataset_id = None
|
|
self.parameters_json = {}
|
|
self.result_json = {}
|
|
self.error_message = None
|
|
self.created_at = None
|
|
self.started_at = None
|
|
self.finished_at = None
|
|
|
|
def model_dump(self) -> dict:
|
|
return {
|
|
"id": self.id,
|
|
"job_type": self.job_type,
|
|
"status": self.status,
|
|
"project_id": self.project_id,
|
|
"dataset_id": self.dataset_id,
|
|
"input_dataset_id": self.input_dataset_id,
|
|
"output_dataset_id": self.output_dataset_id,
|
|
"parameters_json": self.parameters_json,
|
|
"result_json": self.result_json,
|
|
"error_message": self.error_message,
|
|
"created_at": self.created_at,
|
|
"started_at": self.started_at,
|
|
"finished_at": self.finished_at,
|
|
}
|
|
|
|
fake_job_id = uuid4()
|
|
|
|
def fake_create_job(_db, payload):
|
|
return FakeJobRecord(fake_job_id)
|
|
|
|
def fake_mark_running(_db, _job_id):
|
|
return FakeJobRecord(fake_job_id)
|
|
|
|
def fake_mark_success(_db, _job_id, result=None, output_dataset_id=None):
|
|
record = FakeJobRecord(fake_job_id)
|
|
record.result_json = result
|
|
record.output_dataset_id = output_dataset_id
|
|
return record
|
|
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.create_job", fake_create_job)
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.mark_running", fake_mark_running)
|
|
monkeypatch.setattr("app.api.routes.datasets.JobService.mark_success", fake_mark_success)
|
|
|
|
result = _run_job_sync(
|
|
db=SimpleNamespace(add=lambda _item: None, commit=lambda: None, refresh=lambda _item: None),
|
|
project_id=project_id,
|
|
input_dataset_id=dataset_id,
|
|
job_type="raster.ndvi",
|
|
parameters={"nir_band": 4, "red_band": 3},
|
|
operation=lambda: output_dataset_id,
|
|
)
|
|
|
|
assert result["job_type"] == "raster.ndvi"
|
|
assert result["output_dataset_id"] == str(output_dataset_id)
|
|
assert result["result_json"]["output_dataset_id"] == str(output_dataset_id)
|