/
test_utils.py
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/
test_utils.py
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import json
import tempfile
from pathlib import Path
from unittest.mock import Mock, patch
import geopandas as gpd
import pandas as pd
import pytest
from dateutil.parser import parse
from geopandas import GeoDataFrame
from shapely.geometry import LinearRing, Polygon
from .context 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,
)
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 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")