test_stac_contained.py

from datetime import datetime
import pystac as stac

bbox = [178.1228614, -38.6535161, 178.1398058, -38.6470536]
collection_bbox = list(bbox)
spatial_extent = stac.SpatialExtent(bboxes=[collection_bbox])
collection_interval = list([datetime.utcnow(), None])
temporal_extent = stac.TemporalExtent(intervals=[collection_interval])
collection_extent = stac.Extent(spatial=spatial_extent, temporal=temporal_extent)


catalog = stac.Catalog(id="aerial-imagery", description="Catalog")
a_catalog = stac.Catalog(id="region-a", description="Region A")
catalog.add_child(a_catalog)

d = datetime.utcnow()
properties = {
    "created": d.isoformat("T") + "Z",
    "datetime": "2017-03-31T00:00:00Z",
}

collection = stac.Collection(
    id="test_dataset_1",
    description="test_dataset_1 description",
    title="test collection",
    extent=collection_extent,
    properties=properties,
    license="CC-BY-4.0",
)

bbox = [178.2851242, -37.5871129, 178.2880601, -37.5837602]
footprint = {
    "type": "Polygon",
    "coordinates": [
        [
            [178.2851242, -37.5838818],
            [178.2853533, -37.5871129],
            [178.2880601, -37.5869913],
            [178.2878309, -37.5837602],
            [178.2851242, -37.5838818],
        ]
    ],
}
asset_props = {"checksum:sha1": "7794f1f78ebfc330564833eac736a19da908f2f7"}
item1 = stac.Item(
    id="BD44_500_031096", geometry=footprint, bbox=bbox, stac_extensions=["checksum"], properties=asset_props, datetime=d,
)
# item1.set_self_href("/tmp/test-catalog/test_dataset_1/BD44_500_031096.json")

item1.add_asset(
    key="image", asset=stac.Asset(href="./BD44_500_031096.tif", properties=asset_props, media_type=stac.MediaType.GEOTIFF)
)
collection.add_item(item1)


a_catalog.add_child(collection)
catalog.normalize_hrefs("/tmp/test-catalog")
catalog.save(catalog_type=stac.CatalogType.SELF_CONTAINED)