No satellite nans

pvnet_app/consts.py

@@ -1,3 +1,9 @@
 sat_path = "sat.zarr"
 nwp_ukv_path = "nwp_ukv.zarr"
 nwp_ecmwf_path = "nwp_ecmwf.zarr"
+
+
+uk_box = dict(
+    x_geostationary=[-996_133.85, -480_064.6],
+    y_geostationary=[4_512_606.3, 5_058_679.8],
+)

pvnet_app/data/satellite.py

@@ -327,6 +327,9 @@ def preprocess_sat_data(t0: pd.Timestamp, use_legacy: bool = False) -> pd.Dateti
     # Deal with switching between the 5 and 15 minutely satellite data
     combine_5_and_15_sat_data()
 
+    # Check for nans in the satellite data
+    check_for_constant_values(value=np.nan, threshold=0)
+
     # Interpolate missing satellite timestamps
     interpolate_missing_satellite_timestamps(pd.Timedelta("15min"))
 
@@ -343,30 +346,30 @@ def preprocess_sat_data(t0: pd.Timestamp, use_legacy: bool = False) -> pd.Dateti
     extend_satellite_data_with_nans(t0)
 
     # Check for zeros in the satellite data
-    check_for_zeros()
+    check_for_constant_values()
 
     return sat_timestamps
 
 
-def check_for_zeros():
-    """Check the satellite data for zeros and raise an exception
+def check_for_constant_values(value: Optional[float] = 0, threshold: Optional[float] = ERROR_ZERO_PERCENTAGE) -> None:
+    """Check the satellite data for constant values and raise an exception
 
     This sometimes happen when the satellite data is corrupt
 
     Note that in the UK, even at night, the values are not zero.
     """
     # check satellite for zeros
-    logger.info("Checking satellite data for zeros")
+    logger.info(f"Checking satellite data for constant value ({value})")
     ds_sat = xr.open_zarr(sat_path)
     shape = ds_sat.data.shape
     n_data_points_per_timestep = shape[1] * shape[2] * shape[3]
     n_time_steps = shape[0]
     for i in range(n_time_steps):
         data = ds_sat.data[i].values
-        if (data == 0).sum() / n_data_points_per_timestep > ERROR_ZERO_PERCENTAGE:
+        if (data == value).sum() / n_data_points_per_timestep > threshold:
             time = ds_sat.time[i].values
             message = (
-                f"Satellite data contains zeros (greater than {ERROR_ZERO_PERCENTAGE}), "
+                f"Satellite data contains zeros (greater than {threshold}), "
                 f"This is for time step {time}"
             )
             raise Exception(message)

tests/data/test_satellite.py

@@ -28,7 +28,7 @@
     sat_path,
     sat_5_path,
     sat_15_path,
-    extend_satellite_data_with_nans
+    extend_satellite_data_with_nans,
 )
 
 
@@ -242,7 +242,7 @@ def test_extend_satellite_data_with_nans_over_3_hours(sat_5_data, test_t0):
 
 
 def test_zeros_in_sat_data(sat_15_data_small, test_t0):
-    """Download and process only the 15 minute satellite data"""
+    """Check error is made if data has zeros"""
 
     # make temporary directory
     with tempfile.TemporaryDirectory() as tmpdirname:
@@ -262,3 +262,24 @@ def test_zeros_in_sat_data(sat_15_data_small, test_t0):
         # check an error is made
         with pytest.raises(Exception):
             preprocess_sat_data(test_t0)
+
+
+def test_remove_satellite_data(sat_15_data_small, test_t0):
+    """Check error is made if data has nans"""
+    # make temporary directory
+    with tempfile.TemporaryDirectory() as tmpdirname:
+        # Change to temporary working directory
+        os.chdir(tmpdirname)
+
+        # make half the values zeros
+        sat_15_data_small.data[::2] = np.nan
+
+        # Make 15-minutely satellite data available
+        save_to_zarr_zip(sat_15_data_small, filename="latest.zarr.zip")
+
+        os.environ["SATELLITE_ZARR_PATH"] = "latest.zarr.zip"
+        download_all_sat_data()
+
+        # check an error is made
+        with pytest.raises(Exception):
+            preprocess_sat_data(test_t0)