/
test_utils.py
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/
test_utils.py
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import json
import tempfile
from pathlib import Path
from typing import Dict
from unittest.mock import Mock, patch
import geopandas as gpd # type: ignore
import pandas as pd
import pytest
from dateutil.parser import parse
from geopandas import GeoDataFrame
from shapely.geometry import LinearRing, Polygon # type: ignore
from up42.utils import (
any_vector_to_fc,
autocomplete_order_parameters,
download_from_gcs_unpack,
fc_to_query_geometry,
filter_jobs_on_mode,
format_time,
get_up42_py_version,
read_json,
)
POLY = Polygon([(0, 0), (1, 1), (1, 0)])
@pytest.mark.parametrize(
"date,set_end_of_day,result_time",
[
("2014-01-01", False, "2014-01-01T00:00:00Z"),
("2015-01-01T00:00:00", False, "2015-01-01T00:00:00Z"),
(parse("2016-01-01"), False, "2016-01-01T00:00:00Z"),
("2017-01-01", True, "2017-01-01T23:59:59Z"),
("2018-01-01T00:10:00", True, "2018-01-01T00:10:00Z"),
(parse("2019-01-01"), True, "2019-01-01T00:00:00Z"),
],
)
def test_format_time(date, set_end_of_day, result_time):
formatted_time = format_time(date=date, set_end_of_day=set_end_of_day)
assert isinstance(formatted_time, str)
assert formatted_time == result_time
@pytest.mark.parametrize(
"len_fc, in_vector",
[
(1, POLY),
(
1,
gpd.GeoDataFrame(
pd.DataFrame([0], columns=["id"]),
crs={"init": "epsg:4326"},
geometry=[POLY],
),
),
(
2,
gpd.GeoDataFrame(
pd.DataFrame([0, 1], columns=["id"]),
crs={"init": "epsg:4326"},
geometry=[POLY, POLY],
),
),
(1, [0.0, 0.0, 1.0, 1.0]),
(
1,
{
"id": "0",
"type": "Feature",
"properties": {},
"geometry": {
"type": "Polygon",
"coordinates": (
(
(10.00001, 6.0),
(10.0, 5.99),
(10.1, 6.00),
(10.00001, 6.0),
),
),
},
},
),
(
1,
{
"type": "FeatureCollection",
"features": [
{
"id": "0",
"type": "Feature",
"properties": {},
"geometry": {
"type": "Polygon",
"coordinates": (
(
(10.00001, 6.0),
(10.0, 5.999),
(10.00, 6.0),
(10.00001, 6.0),
),
),
},
}
],
},
),
(
1,
{
"type": "Polygon",
"coordinates": [
[
[-97.324448, 37.72246],
[-97.349682, 37.722732],
[-97.349939, 37.708405],
[-97.322989, 37.708202],
[-97.320414, 37.708473],
[-97.324448, 37.72246],
]
],
},
),
],
)
def test_any_vector_to_fc(len_fc, in_vector):
fc = any_vector_to_fc(in_vector)
assert isinstance(fc, dict)
assert fc["type"] == "FeatureCollection"
assert fc.get("bbox") is not None
assert fc["features"][0].get("bbox") is not None
assert len(fc["features"]) != 0
assert len(fc["features"]) == len_fc
assert fc["features"][0]["geometry"].get("coordinates") is not None
df = any_vector_to_fc(in_vector, as_dataframe=True)
assert isinstance(df, GeoDataFrame)
assert df.crs.to_string() == "EPSG:4326"
def test_any_vector_to_fc_raises_with_unaccepted_geometry_type():
ring = LinearRing([(0, 0), (1, 1), (1, 0)])
with pytest.raises(ValueError):
any_vector_to_fc(ring)
def test_fc_to_query_geometry_single_intersects():
fp = Path(__file__).resolve().parent / "mock_data/aoi_berlin.geojson"
with open(fp) as json_file:
fc = json.load(json_file)
query_geometry = fc_to_query_geometry(fc=fc, geometry_operation="intersects")
assert isinstance(query_geometry, dict)
assert query_geometry["type"] == "Polygon"
assert query_geometry["coordinates"] == [
[
[13.375966, 52.515068],
[13.375966, 52.516639],
[13.378314, 52.516639],
[13.378314, 52.515068],
[13.375966, 52.515068],
]
]
def test_fc_to_query_geometry_single_bbox():
fp = Path(__file__).resolve().parent / "mock_data/aoi_berlin.geojson"
with open(fp) as json_file:
fc = json.load(json_file)
query_geometry = fc_to_query_geometry(fc=fc, geometry_operation="bbox")
assert isinstance(query_geometry, list)
assert len(query_geometry) == 4
assert query_geometry == [13.375966, 52.515068, 13.378314, 52.516639]
def test_fc_to_query_geometry_multiple_raises():
fp = Path(__file__).resolve().parent / "mock_data/search_results_limited_columns.geojson"
with open(fp) as json_file:
fc = json.load(json_file)
with pytest.raises(ValueError) as e:
fc_to_query_geometry(fc=fc, geometry_operation="intersects")
assert str(e.value) == "UP42 only accepts single geometries, the provided geometry contains multiple geometries."
with pytest.raises(ValueError) as e:
fc_to_query_geometry(fc=fc, geometry_operation="bbox")
assert str(e.value) == "UP42 only accepts single geometries, the provided geometry contains multiple geometries."
def test_fc_to_query_geometry_multipolygon_raises():
fp = Path(__file__).resolve().parent / "mock_data/multipolygon.geojson"
with open(fp) as json_file:
fc = json.load(json_file)
with pytest.raises(ValueError) as e:
fc_to_query_geometry(fc=fc, geometry_operation="intersects")
assert str(e.value) == "UP42 only accepts single geometries, the provided geometry is a MultiPolygon."
def test_download_gcs_unpack_tgz(requests_mock):
cloud_storage_url = "http://clouddownload.api.com/abcdef"
out_tgz = Path(__file__).resolve().parent / "mock_data/result_tif.tgz"
with open(out_tgz, "rb") as src_tgz:
out_tgz_file = src_tgz.read()
requests_mock.get(
url=cloud_storage_url,
content=out_tgz_file,
)
with tempfile.TemporaryDirectory() as tempdir:
with open(Path(tempdir) / "dummy.txt", "w") as fp:
fp.write("dummy")
out_files = download_from_gcs_unpack(
download_url=cloud_storage_url,
output_directory=tempdir,
)
for file in out_files:
assert Path(file).exists()
assert len(out_files) == 2
assert not (Path(tempdir) / "output").exists()
def test_download_gcs_unpack_zip(requests_mock):
cloud_storage_url = "http://clouddownload.api.com/abcdef"
out_zip = Path(__file__).resolve().parent / "mock_data/result_tif.zip"
with open(out_zip, "rb") as src_zip:
out_zip_file = src_zip.read()
requests_mock.get(
url=cloud_storage_url,
content=out_zip_file,
)
with tempfile.TemporaryDirectory() as tempdir:
with open(Path(tempdir) / "dummy.txt", "w") as fp:
fp.write("dummy")
out_files = download_from_gcs_unpack(
download_url=cloud_storage_url,
output_directory=tempdir,
)
for file in out_files:
assert Path(file).exists()
assert len(out_files) == 2
assert not (Path(tempdir) / "output").exists()
def test_download_gcs_not_unpack(requests_mock):
cloud_storage_url = "http://clouddownload.api.com/abcdef"
out_zip = Path(__file__).resolve().parent / "mock_data/aoi_berlin.geojson"
with open(out_zip, "rb") as src_zip:
out_zip_file = src_zip.read()
requests_mock.get(
url=cloud_storage_url,
content=out_zip_file,
)
with tempfile.TemporaryDirectory() as tempdir:
with open(Path(tempdir) / "dummy.txt", "w") as fp:
fp.write("dummy")
with pytest.raises(ValueError):
download_from_gcs_unpack(
download_url=cloud_storage_url,
output_directory=tempdir,
)
def test_filter_jobs_on_mode():
job_json = [{"mode": "DEFAULT"}, {"mode": "DRY_RUN"}]
r = filter_jobs_on_mode(job_json)
assert len(r) == 2
r = filter_jobs_on_mode(job_json, test_jobs=False, real_jobs=True)
assert len(r) == 1
r = filter_jobs_on_mode(job_json, test_jobs=True, real_jobs=False)
assert len(r) == 1
with pytest.raises(ValueError):
filter_jobs_on_mode(job_json, test_jobs=False, real_jobs=False)
def test_autocomplete_order_parameters():
with open(Path(__file__).resolve().parent / "mock_data/data_product_spot_schema.json") as json_file:
json_data_product_schema = json.load(json_file)
order_parameters = {
"dataProduct": "123",
"params": {"existing_param1": "abc"},
}
order_parameters = autocomplete_order_parameters(order_parameters=order_parameters, schema=json_data_product_schema)
assert "dataProduct" in order_parameters
assert isinstance(order_parameters["params"], Dict)
assert order_parameters["params"]["existing_param1"] is not None
assert order_parameters["params"]["geometry"] is None
assert order_parameters["params"]["acquisitionMode"] is None
@patch("importlib.metadata.version", return_value="some_version")
def test_get_up42_py_version(version: Mock):
assert get_up42_py_version() == "some_version"
version.assert_called_with("up42-py")
def test_read_json_should_skip_reading_if_path_is_none():
assert not read_json(path_or_dict=None)
def test_read_json_should_skip_reading_if_dict_is_given():
value = {"some": "data"}
assert read_json(path_or_dict=value) == value
@pytest.fixture(params=[True, False], ids=["str", "path"])
def str_or_path(tmp_path, request):
is_str = request.param
result = tmp_path / "data.json"
return str(result) if is_str else result
def test_should_read_json(str_or_path):
value = {"some": "data"}
with open(str_or_path, "w") as file:
json.dump(value, file)
assert read_json(path_or_dict=str_or_path) == value
def test_read_json_fails_if_path_not_found(str_or_path):
with pytest.raises(ValueError) as ex:
assert read_json(path_or_dict=str_or_path)
assert str(str_or_path) in str(ex.value)