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import csv
import os
from datetime import datetime, timezone
from typing import Any
import pystac
from pystac import (
Asset,
Catalog,
Collection,
Extent,
Item,
MediaType,
SpatialExtent,
TemporalExtent,
)
TEST_LABEL_CATALOG = {
"country-1": {
"area-1-1": {
"dsm": "area-1-1_dsm.tif",
"ortho": "area-1-1_ortho.tif",
"labels": "area-1-1_labels.geojson",
},
"area-1-2": {
"dsm": "area-1-2_dsm.tif",
"ortho": "area-1-2_ortho.tif",
"labels": "area-1-2_labels.geojson",
},
},
"country-2": {
"area-2-1": {
"dsm": "area-2-1_dsm.tif",
"ortho": "area-2-1_ortho.tif",
"labels": "area-2-1_labels.geojson",
},
"area-2-2": {
"dsm": "area-2-2_dsm.tif",
"ortho": "area-2-2_ortho.tif",
"labels": "area-2-2_labels.geojson",
},
},
}
ARBITRARY_GEOM: dict[str, Any] = {
"type": "Polygon",
"coordinates": [
[
[-2.5048828125, 3.8916575492899987],
[-1.9610595703125, 3.8916575492899987],
[-1.9610595703125, 4.275202171119132],
[-2.5048828125, 4.275202171119132],
[-2.5048828125, 3.8916575492899987],
]
],
}
ARBITRARY_BBOX: list[float] = [
ARBITRARY_GEOM["coordinates"][0][0][0],
ARBITRARY_GEOM["coordinates"][0][0][1],
ARBITRARY_GEOM["coordinates"][0][1][0],
ARBITRARY_GEOM["coordinates"][0][1][1],
]
ARBITRARY_EXTENT = Extent(
spatial=SpatialExtent.from_coordinates(ARBITRARY_GEOM["coordinates"]),
temporal=TemporalExtent.from_now(),
)
class ExampleInfo:
def __init__(
self,
path: str,
object_type: pystac.STACObjectType,
stac_version: str,
extensions: list[str],
valid: bool,
) -> None:
self.path = path
self.object_type = object_type
self.stac_version = stac_version
self.extensions = extensions
self.valid = valid
class TestCases:
bad_catalog_case = "data-files/catalogs/invalid-catalog/catalog.json"
@staticmethod
def get_path(rel_path: str) -> str:
return os.path.abspath(os.path.join(os.path.dirname(__file__), "..", rel_path))
@staticmethod
def get_examples_info() -> list[ExampleInfo]:
examples: list[ExampleInfo] = []
info_path = TestCases.get_path("data-files/examples/example-info.csv")
with open(TestCases.get_path("data-files/examples/example-info.csv")) as f:
for row in csv.reader(f):
path = os.path.abspath(os.path.join(os.path.dirname(info_path), row[0]))
object_type = row[1]
stac_version = row[2]
extensions: list[str] = []
if row[3]:
extensions = row[3].split("|")
valid = True
if len(row) > 4:
# The 5th column will be "INVALID" if the example
# shouldn't pass validation
valid = row[4] != "INVALID"
examples.append(
ExampleInfo(
path=path,
object_type=pystac.STACObjectType(object_type),
stac_version=stac_version,
extensions=extensions,
valid=valid,
)
)
return examples
@staticmethod
def all_test_catalogs() -> list[Catalog]:
return [
TestCases.case_1(),
TestCases.case_2(),
TestCases.case_3(),
TestCases.case_4(),
TestCases.case_5(),
TestCases.case_7(),
TestCases.case_8(),
]
@staticmethod
def case_1() -> Catalog:
return Catalog.from_file(
TestCases.get_path("data-files/catalogs/test-case-1/catalog.json")
)
@staticmethod
def case_2() -> Catalog:
return Catalog.from_file(
TestCases.get_path("data-files/catalogs/test-case-2/catalog.json")
)
@staticmethod
def case_3() -> Catalog:
root_cat = Catalog(
id="test3", description="test case 3 catalog", title="test case 3 title"
)
image_item = Item(
id="imagery-item",
geometry=ARBITRARY_GEOM,
bbox=ARBITRARY_BBOX,
datetime=datetime.now(timezone.utc),
properties={},
)
image_item.add_asset(
"ortho", Asset(href="some/geotiff.tiff", media_type=MediaType.GEOTIFF)
)
label_item = Item(
id="label-items",
geometry=ARBITRARY_GEOM,
bbox=ARBITRARY_BBOX,
datetime=datetime.now(timezone.utc),
properties={},
)
root_cat.add_item(image_item)
root_cat.add_item(label_item)
return root_cat
@staticmethod
def case_4() -> Catalog:
"""Test case that is based on a local copy of the Tier 1 dataset from
DrivenData's OpenCities AI Challenge.
See: https://www.drivendata.org/competitions/60/building-segmentation-disaster\
-resilience
"""
return Catalog.from_file(
TestCases.get_path("data-files/catalogs/test-case-4/catalog.json")
)
@staticmethod
def case_5() -> Catalog:
"""Based on a subset of https://cbers.stac.cloud/"""
return Catalog.from_file(
TestCases.get_path("data-files/catalogs/test-case-5/catalog.json")
)
@staticmethod
def case_6() -> Catalog:
"""Based on a subset of CBERS, contains a root and 4 empty children"""
return Catalog.from_file(
TestCases.get_path("data-files/catalogs/cbers-partial/catalog.json")
)
@staticmethod
def case_7() -> Catalog:
"""Test case 4 as STAC version 0.8.1"""
return Catalog.from_file(
TestCases.get_path("data-files/catalogs/label_catalog-v0.8.1/catalog.json")
)
@staticmethod
def case_8() -> Collection:
"""Planet disaster data example catalog, 1.0.0-beta.2"""
return Collection.from_file(
TestCases.get_path(
"data-files/catalogs/planet-example-v1.0.0-beta.2/collection.json"
)
)
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