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test_geo_location.py
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test_geo_location.py
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import os
import pytest
import numpy as np
from datetime import datetime
from unittest.mock import patch, MagicMock
import pandas as pd
from wetterdienst.additionals.geo_location import (
get_nearby_stations,
_derive_nearest_neighbours,
)
from wetterdienst.enumerations.parameter_enumeration import Parameter
from wetterdienst.enumerations.period_type_enumeration import PeriodType
from wetterdienst.enumerations.time_resolution_enumeration import TimeResolution
from wetterdienst.data_models.coordinates import Coordinates
from wetterdienst.exceptions import InvalidParameterCombination
fixtures_dir = f"{os.path.dirname(__file__)}/../fixtures/"
@patch(
"wetterdienst.parse_metadata.metadata_for_climate_observations",
MagicMock(return_value=pd.read_json(f"{fixtures_dir}FIXED_METADATA.JSON")),
)
def test_get_nearby_stations():
# Test for one nearest station
nearest_station = get_nearby_stations(
50.0,
8.9,
datetime(2020, 1, 1),
datetime(2020, 1, 20),
Parameter.TEMPERATURE_AIR,
TimeResolution.HOURLY,
PeriodType.RECENT,
num_stations_nearby=1,
)
nearest_station = nearest_station.drop("TO_DATE", axis="columns")
pd.testing.assert_frame_equal(
nearest_station,
pd.DataFrame(
[
[
4411,
np.datetime64("2002-01-24", dtype="np.datetime64[ns]"),
155.0,
49.9195,
8.9671,
"Schaafheim-Schlierbach",
"Hessen",
True,
11.65302672,
]
],
columns=[
"STATION_ID",
"FROM_DATE",
"STATION_HEIGHT",
"LAT",
"LON",
"STATION_NAME",
"STATE",
"HAS_FILE",
"DISTANCE_TO_LOCATION",
],
index=[321],
),
)
nearest_station = get_nearby_stations(
50.0,
8.9,
datetime(2020, 1, 1),
datetime(2020, 1, 20),
Parameter.TEMPERATURE_AIR,
TimeResolution.HOURLY,
PeriodType.RECENT,
max_distance_in_km=20,
)
nearest_station = nearest_station.drop("TO_DATE", axis="columns")
pd.testing.assert_frame_equal(
nearest_station,
pd.DataFrame(
[
[
4411,
np.datetime64("2002-01-24 00:00:00", dtype="datetime64[ns]"),
155.0,
49.9195,
8.9671,
"Schaafheim-Schlierbach",
"Hessen",
True,
11.653026716750542,
],
[
2480,
np.datetime64("2004-09-01 00:00:00", dtype="datetime64[ns]"),
108.0,
50.0643,
8.993,
"Kahl/Main",
"Bayern",
True,
12.572153957087247,
],
[
7341,
np.datetime64("2005-07-16 00:00:00", dtype="datetime64[ns]"),
119.0,
50.09,
8.7862,
"Offenbach-Wetterpark",
"Hessen",
True,
16.13301589362613,
],
],
columns=[
"STATION_ID",
"FROM_DATE",
"STATION_HEIGHT",
"LAT",
"LON",
"STATION_NAME",
"STATE",
"HAS_FILE",
"DISTANCE_TO_LOCATION",
],
index=[321, 170, 465],
),
)
with pytest.raises(ValueError):
get_nearby_stations(
50.0,
8.9,
datetime(2020, 1, 1),
datetime(2020, 1, 20),
Parameter.TEMPERATURE_AIR,
TimeResolution.HOURLY,
PeriodType.RECENT,
num_stations_nearby=1,
max_distance_in_km=1,
)
with pytest.raises(ValueError):
get_nearby_stations(
51.4,
9.3,
datetime(2020, 1, 1),
datetime(2020, 1, 20),
Parameter.TEMPERATURE_AIR,
TimeResolution.HOURLY,
PeriodType.RECENT,
num_stations_nearby=0,
)
with pytest.raises(InvalidParameterCombination):
get_nearby_stations(
51.4,
9.3,
datetime(2020, 1, 1),
datetime(2020, 1, 20),
Parameter.SOIL,
TimeResolution.MINUTE_10,
PeriodType.RECENT,
num_stations_nearby=1,
)
def test_get_nearby_stations_out_of_distance():
nearest_station = get_nearby_stations(
[50.0],
[8.9],
datetime(2020, 1, 1),
datetime(2020, 1, 20),
Parameter.TEMPERATURE_AIR,
TimeResolution.HOURLY,
PeriodType.RECENT,
max_distance_in_km=10,
)
assert nearest_station[0].empty is True
def test_derive_nearest_neighbours():
coords = Coordinates(np.array([50.0, 51.4]), np.array([8.9, 9.3]))
metadata = pd.read_json(f"{fixtures_dir}FIXED_METADATA.JSON")
distances, indices_nearest_neighbours = _derive_nearest_neighbours(
metadata.LAT.values, metadata.LON.values, coords
)
np.testing.assert_array_almost_equal(distances, np.array([0.00182907, 0.00227919]))
np.testing.assert_array_almost_equal(
indices_nearest_neighbours, np.array([432, 655])
)