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tests/test_eumetsat.py

@@ -3,19 +3,25 @@
 import os
 from pathlib import Path
 
-import xarray as xr
 import pandas as pd
+import xarray as xr
 
 from satip import eumetsat
 from satip.eumetsat import eumetsat_cloud_name_to_datetime, eumetsat_filename_to_datetime
-from satip.utils import load_cloudmask_to_dataset, load_native_to_dataset, save_dataset_to_zarr, check_if_timestep_exists
+from satip.utils import (
+    check_if_timestep_exists,
+    load_cloudmask_to_dataset,
+    load_native_to_dataset,
+    save_dataset_to_zarr,
+)
 
 RSS_ID = "EO:EUM:DAT:MSG:MSG15-RSS"
 CLOUD_ID = "EO:EUM:DAT:MSG:RSS-CLM"
 
 user_key = os.environ.get("EUMETSAT_USER_KEY")
 user_secret = os.environ.get("EUMETSAT_USER_SECRET")
 
+
 def test_filename_to_datetime():
     """If there were a test here, there would also be a docstring here."""
     pass
@@ -25,22 +31,23 @@ def test_data_tailor():
     """If there were a test here, there would also be a docstring here."""
     pass
 
+
 def test_datetime_check_native():
-    """"Check that checking datetime works"""
+    """ "Check that checking datetime works"""
     download_manager = eumetsat.DownloadManager(
         user_key=user_key,
         user_secret=user_secret,
         data_dir=os.getcwd(),
         log_fp=os.path.join(os.getcwd(), "log.txt"),
         logger_name="Plotting_test",
-        )
+    )
     download_manager.download_date_range(
         start_date="2020-06-01 11:59:00", end_date="2020-06-01 12:00:00", product_id=RSS_ID
-        )
+    )
     rss_filename = list(glob.glob(os.path.join(os.getcwd(), "*.nat")))
     rss_dataset, hrv_dataset = load_native_to_dataset(
-        Path(rss_filename[0]), temp_directory=Path(os.getcwd()), area='UK'
-        )
+        Path(rss_filename[0]), temp_directory=Path(os.getcwd()), area="UK"
+    )
 
     # Save to Zarrs, to then load them back
     save_dataset_to_zarr(
@@ -49,42 +56,39 @@ def test_datetime_check_native():
         channel_chunk_size=11,
         dtype="int16",
         zarr_mode="w",
-        )
+    )
     save_dataset_to_zarr(
         hrv_dataset,
         zarr_path=os.path.join(os.getcwd(), "hrv.zarr"),
         channel_chunk_size=1,
         dtype="int16",
         zarr_mode="w",
-        )
+    )
 
     zarr_dataset = xr.open_zarr(os.path.join(os.getcwd(), "rss.zarr"), consolidated=True)
     base_filename = Path(rss_filename[0]).name
     file_timestep = eumetsat_filename_to_datetime(str(base_filename))
-    assert check_if_timestep_exists(
-        pd.Timestamp(file_timestep).round("5 min"), zarr_dataset
-        )
+    assert check_if_timestep_exists(pd.Timestamp(file_timestep).round("5 min"), zarr_dataset)
     zarr_dataset = xr.open_zarr(os.path.join(os.getcwd(), "hrv.zarr"), consolidated=True)
-    assert check_if_timestep_exists(
-        pd.Timestamp(file_timestep).round("5 min"), zarr_dataset
-        )
+    assert check_if_timestep_exists(pd.Timestamp(file_timestep).round("5 min"), zarr_dataset)
+
 
 def test_datetime_check_cloud_mask():
-    """"Check that checking datetime works"""
+    """ "Check that checking datetime works"""
     download_manager = eumetsat.DownloadManager(
         user_key=user_key,
         user_secret=user_secret,
         data_dir=os.getcwd(),
         log_fp=os.path.join(os.getcwd(), "log.txt"),
         logger_name="Plotting_test",
-        )
+    )
     download_manager.download_date_range(
         start_date="2020-06-01 11:59:00", end_date="2020-06-01 12:00:00", product_id=CLOUD_ID
-        )
+    )
     cloud_mask_filename = list(glob.glob(os.path.join(os.getcwd(), "*.grb")))
     cloudmask_dataset = load_cloudmask_to_dataset(
-        Path(cloud_mask_filename[0]), temp_directory=Path(os.getcwd()), area='UK'
-        )
+        Path(cloud_mask_filename[0]), temp_directory=Path(os.getcwd()), area="UK"
+    )
 
     # Save to Zarrs, to then load them back
     save_dataset_to_zarr(
@@ -93,11 +97,9 @@ def test_datetime_check_cloud_mask():
         channel_chunk_size=1,
         dtype="int8",
         zarr_mode="w",
-        )
+    )
 
     zarr_dataset = xr.open_zarr(os.path.join(os.getcwd(), "cloud.zarr"), consolidated=True)
     base_filename = Path(cloud_mask_filename[0]).name
     file_timestep = eumetsat_cloud_name_to_datetime(str(base_filename))
-    assert check_if_timestep_exists(
-        pd.Timestamp(file_timestep).round("5 min"), zarr_dataset
-        )
+    assert check_if_timestep_exists(pd.Timestamp(file_timestep).round("5 min"), zarr_dataset)