/
test_catalog.py
304 lines (262 loc) · 10.1 KB
/
test_catalog.py
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from pathlib import Path
import json
import tempfile
import pytest
import geopandas as gpd
from .context import Order
# pylint: disable=unused-import
from .test_order import order_payload
from .fixtures import (
auth_mock,
auth_live,
catalog_mock,
catalog_live,
order_mock,
ORDER_ID,
)
with open(
Path(__file__).resolve().parent / "mock_data/search_params_simple.json"
) as json_file:
mock_search_parameters = json.load(json_file)
def test_construct_parameters(catalog_mock):
search_parameters = catalog_mock.construct_parameters(
geometry=mock_search_parameters["intersects"],
start_date="2014-01-01",
end_date="2016-12-31",
sensors=["pleiades", "spot", "sentinel1"],
max_cloudcover=20,
sortby="cloudCoverage",
limit=4,
ascending=False,
)
assert isinstance(search_parameters, dict)
assert search_parameters["datetime"] == mock_search_parameters["datetime"]
assert json.dumps(search_parameters["intersects"]) == json.dumps(
search_parameters["intersects"]
)
assert search_parameters["limit"] == mock_search_parameters["limit"]
assert search_parameters["query"] == mock_search_parameters["query"]
assert search_parameters["sortby"] == mock_search_parameters["sortby"]
def test_construct_parameters_fc_multiple_non_overlapping_features(catalog_mock):
with open(
Path(__file__).resolve().parent / "mock_data/search_footprints.geojson"
) as json_file:
fc = json.load(json_file)
search_parameters = catalog_mock.construct_parameters(
geometry=fc,
start_date="2020-01-01",
end_date="2020-08-10",
sensors=["sentinel2"],
limit=10,
max_cloudcover=15,
sortby="acquisitionDate",
ascending=True,
)
assert isinstance(search_parameters, dict)
assert search_parameters["datetime"] == "2020-01-01T00:00:00Z/2020-08-10T23:59:59Z"
assert search_parameters["intersects"]["type"] == "MultiPolygon"
def test_construct_parameters_unsopported_sensor_raises(catalog_mock):
with pytest.raises(ValueError):
catalog_mock.construct_parameters(
geometry=mock_search_parameters["intersects"],
sensors=["some_unspoorted_sensor"],
)
def test_search(catalog_mock, requests_mock):
with open(
Path(__file__).resolve().parent / "mock_data/search_response.json"
) as json_file:
json_search_response = json.load(json_file)
url_search = f"{catalog_mock.auth._endpoint()}/catalog/stac/search"
requests_mock.post(
url=url_search,
json=json_search_response,
)
search_results = catalog_mock.search(mock_search_parameters)
assert isinstance(search_results, gpd.GeoDataFrame)
assert search_results.shape == (1, 9)
@pytest.mark.live
def test_search_live(catalog_live):
search_results = catalog_live.search(mock_search_parameters)
assert isinstance(search_results, gpd.GeoDataFrame)
assert search_results.shape == (4, 10)
assert list(search_results.columns) == [
"geometry",
"id",
"acquisitionDate",
"constellation",
"providerName",
"blockNames",
"cloudCoverage",
"up42:usageType",
"providerProperties",
"scene_id",
]
assert list(search_results.index) == list(range(search_results.shape[0]))
# As fc
search_results = catalog_live.search(mock_search_parameters, as_dataframe=False)
assert isinstance(search_results, dict)
assert search_results["type"] == "FeatureCollection"
def test_download_quicklook(catalog_mock, requests_mock):
sel_id = "6dffb8be-c2ab-46e3-9c1c-6958a54e4527"
provider = "oneatlas"
url_quicklooks = (
f"{catalog_mock.auth._endpoint()}/catalog/{provider}/image/{sel_id}/quicklook"
)
quicklook_file = Path(__file__).resolve().parent / "mock_data/a_quicklook.png"
requests_mock.get(url_quicklooks, content=open(quicklook_file, "rb").read())
with tempfile.TemporaryDirectory() as tempdir:
out_paths = catalog_mock.download_quicklooks(
image_ids=[sel_id], sensor="pleiades", output_directory=tempdir
)
assert len(out_paths) == 1
assert Path(out_paths[0]).exists()
assert Path(out_paths[0]).suffix == ".jpg"
def test_download_no_quicklook(catalog_mock, requests_mock):
sel_id = "dfc54412-8b9c-45a3-b46a-dd030a47c2f3"
provider = "sobloo-image"
url_quicklook = (
f"{catalog_mock.auth._endpoint()}/catalog/{provider}/image/{sel_id}/quicklook"
)
requests_mock.get(url_quicklook, status_code=404)
with tempfile.TemporaryDirectory() as tempdir:
out_paths = catalog_mock.download_quicklooks(
image_ids=[sel_id], sensor="sentinel5p", output_directory=tempdir
)
assert len(out_paths) == 0
def test_download_1_quicklook_1_no_quicklook(catalog_mock, requests_mock):
sel_id_no = "dfc54412-8b9c-45a3-b46a-dd030a47c2f3"
sel_id = "6dffb8be-c2ab-46e3-9c1c-6958a54e4527"
provider = "sobloo-image"
url_no_quicklook = f"{catalog_mock.auth._endpoint()}/catalog/{provider}/image/{sel_id_no}/quicklook"
requests_mock.get(url_no_quicklook, status_code=404)
url_quicklook = (
f"{catalog_mock.auth._endpoint()}/catalog/{provider}/image/{sel_id}/quicklook"
)
quicklook_file = Path(__file__).resolve().parent / "mock_data/a_quicklook.png"
requests_mock.get(url_quicklook, content=open(quicklook_file, "rb").read())
with tempfile.TemporaryDirectory() as tempdir:
out_paths = catalog_mock.download_quicklooks(
image_ids=[sel_id, sel_id_no],
sensor="sentinel5p",
output_directory=tempdir,
)
assert len(out_paths) == 1
assert Path(out_paths[0]).exists()
assert Path(out_paths[0]).suffix == ".jpg"
@pytest.mark.live
def test_download_quicklook_live(catalog_live):
with tempfile.TemporaryDirectory() as tempdir:
out_paths = catalog_live.download_quicklooks(
image_ids=["6dffb8be-c2ab-46e3-9c1c-6958a54e4527"],
sensor="pleiades",
output_directory=tempdir,
)
assert len(out_paths) == 1
assert Path(out_paths[0]).exists()
assert Path(out_paths[0]).suffix == ".jpg"
# pylint: disable=unused-argument
def test_estimate_order_from_catalog(
order_payload, order_mock, catalog_mock, requests_mock
):
with open(
Path(__file__).resolve().parent / "mock_data/search_response.json"
) as json_file:
json_search_response = json.load(json_file)
url_search = f"{catalog_mock.auth._endpoint()}/catalog/stac/search"
requests_mock.post(
url=url_search,
json=json_search_response,
)
search_results = catalog_mock.search(mock_search_parameters)
url_order_estimation = (
f"{catalog_mock.auth._endpoint()}/workspaces/"
f"{catalog_mock.auth.workspace_id}/orders/estimate"
)
requests_mock.post(url=url_order_estimation, json={"data": {"credits": 100}})
estimation = catalog_mock.estimate_order(
order_payload["orderParams"]["aoi"], search_results.loc[0]
)
assert isinstance(estimation, int)
assert estimation == 100
def test_order_from_catalog(order_payload, order_mock, catalog_mock, requests_mock):
with open(
Path(__file__).resolve().parent / "mock_data/search_response.json"
) as json_file:
json_search_response = json.load(json_file)
url_search = f"{catalog_mock.auth._endpoint()}/catalog/stac/search"
requests_mock.post(
url=url_search,
json=json_search_response,
)
search_results = catalog_mock.search(mock_search_parameters)
requests_mock.post(
url=f"{catalog_mock.auth._endpoint()}/workspaces/{catalog_mock.auth.workspace_id}/orders",
json={
"data": {"id": ORDER_ID},
"error": {},
},
)
order = catalog_mock.place_order(
order_payload["orderParams"]["aoi"], search_results.loc[0]
)
assert isinstance(order, Order)
assert order.order_id == ORDER_ID
def test_order_from_catalog_track_status(
order_payload, order_mock, catalog_mock, requests_mock
):
with open(
Path(__file__).resolve().parent / "mock_data/search_response.json"
) as json_file:
json_search_response = json.load(json_file)
url_search = f"{catalog_mock.auth._endpoint()}/catalog/stac/search"
requests_mock.post(
url=url_search,
json=json_search_response,
)
search_results = catalog_mock.search(mock_search_parameters)
requests_mock.post(
url=f"{catalog_mock.auth._endpoint()}/workspaces/{catalog_mock.auth.workspace_id}/orders",
json={
"data": {"id": ORDER_ID},
"error": {},
},
)
url_order_info = (
f"{order_mock.auth._endpoint()}/workspaces/"
f"{order_mock.workspace_id}/orders/{order_mock.order_id}"
)
requests_mock.get(
url_order_info,
[
{"json": {"data": {"status": "PLACED"}, "error": {}}},
{"json": {"data": {"status": "BEING_FULFILLED"}, "error": {}}},
{"json": {"data": {"status": "FULFILLED"}, "error": {}}},
],
)
order = catalog_mock.place_order(
order_payload["orderParams"]["aoi"],
search_results.loc[0],
track_status=True,
report_time=0.1,
)
assert isinstance(order, Order)
assert order.order_id == ORDER_ID
@pytest.mark.live
def test_estimate_order_from_catalog_live(catalog_live):
search_results = catalog_live.search(mock_search_parameters)
estimation = catalog_live.estimate_order(
mock_search_parameters["intersects"], search_results.loc[0]
)
assert isinstance(estimation, int)
assert estimation == 12
@pytest.mark.skip(reason="Placing orders costs credits.")
@pytest.mark.live
def test_order_from_catalog_live(
order_payload, order_mock, catalog_mock, requests_mock
):
search_results = catalog_live.search(mock_search_parameters)
order = catalog_live.place_order(
mock_search_parameters["intersects"], search_results.loc[0]
)
assert isinstance(order, Order)
assert order.order_id