Source code for satpy.tests.reader_tests.test_viirs_compact
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2017-2019 Satpy developers
#
# This file is part of satpy.
#
# satpy is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# satpy is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# satpy. If not, see <http://www.gnu.org/licenses/>.
"""Module for testing the satpy.readers.viirs_compact module."""
from contextlib import suppress
import h5py
import numpy as np
import pytest
from satpy.tests.reader_tests.utils import fill_h5
# NOTE:
# The following fixtures are not defined in this file, but are used and injected by Pytest:
# - tmp_path
[docs]
@pytest.fixture()
def fake_dnb():
"""Create fake DNB content."""
fake_dnb = {
"All_Data": {
"ModeGran": {"value": 0},
"ModeScan": {
"value": np.array(
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dtype=np.uint8,
)
},
"NumberOfScans": {"value": np.array([47])},
"VIIRS-DNB-GEO_All": {
"AlignmentCoefficient": {
"value": np.array(
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b"CmnGeo-SAA-AC_j01_20151008180000Z_20170807130000Z_ee00000000000000Z_PS-1-O-NPP-1-LE-PE_all-_all_all-_ops" # noqa
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],
[
b"VIIRS-SDR-RADIOMETRIC-PARAM-V3-LUT_j01_20161117000000Z_20180111000000Z_ee00000000000000Z_PS-1-O-CCR-17-3436-v003-LE-PE_all-_all_all-_ops" # noqa
],
[
b"VIIRS-SDR-REFLECTIVE-LUT_j01_20160331000000Z_20170807130000Z_ee00000000000000Z_PS-1-O-CCR-16-2859-v002-SameAsSNPP-LE-PE_all-_all_all-_ops" # noqa
],
[
b"VIIRS-SDR-RELATIVE-SPECTRAL-RESPONSE-LUT_j01_20161031000000Z_20180111000000Z_ee00000000000000Z_PS-1-O-CCR-17-3436-v003-FusedM9-LE-PE_all-_all_all-_ops" # noqa
],
[
b"VIIRS-SDR-RTA-ER-LUT_j01_20160331000000Z_20170807130000Z_ee00000000000000Z_PS-1-O-CCR-16-2859-v002-LE-PE_all-_all_all-_ops" # noqa
],
[
b"VIIRS-SDR-RVF-LUT_j01_20160331000000Z_20170807130000Z_ee00000000000000Z_PS-1-O-CCR-16-2859-v002-M16-LE-PE_all-_all_all-_ops" # noqa
],
[
b"VIIRS-SDR-SOLAR-IRAD-LUT_j01_20160331000000Z_20170807130000Z_ee00000000000000Z_PS-1-O-CCR-16-2859-v002-Thuillier2002-LE-PE_all-_all_all-_ops" # noqa
],
[
b"VIIRS-SDR-TELE-COEFFS-LUT_j01_20160331000000Z_20170807130000Z_ee00000000000000Z_PS-1-O-CCR-16-2859-v002-SideA-LE-PE_all-_all_all-_ops" # noqa
],
],
dtype="|S151",
),
"N_Beginning_Orbit_Number": np.array(
[[10015]], dtype=np.uint64
),
"N_Beginning_Time_IET": np.array(
[[1950675122120971]], dtype=np.uint64
),
"N_Creation_Date": np.array([[b"20191025"]], dtype="|S9"),
"N_Creation_Time": np.array(
[[b"062411.116253Z"]], dtype="|S15"
),
"N_Day_Night_Flag": np.array([[b"Night"]], dtype="|S6"),
"N_Ending_Time_IET": np.array(
[[1950675204849492]], dtype=np.uint64
),
"N_Graceful_Degradation": np.array([[b"No"]], dtype="|S3"),
"N_Granule_ID": np.array(
[[b"J01002526558865"]], dtype="|S16"
),
"N_Granule_Status": np.array([[b"N/A"]], dtype="|S4"),
"N_Granule_Version": np.array([[b"A1"]], dtype="|S3"),
"N_IDPS_Mode": np.array([[b"N/A"]], dtype="|S4"),
"N_Input_Prod": np.array(
[
[b"GEO-VIIRS-OBC-IP:J01002526558865:A1"],
[b"SPACECRAFT-DIARY-RDR:J01002526558800:A1"],
[b"SPACECRAFT-DIARY-RDR:J01002526559000:A1"],
[b"VIIRS-DNB-GEO:J01002526558865:A1"],
[b"VIIRS-IMG-RGEO-TC:J01002526558865:A1"],
[b"VIIRS-MOD-RGEO-TC:J01002526558865:A1"],
[b"VIIRS-SCIENCE-RDR:J01002526558012:A1"],
[b"VIIRS-SCIENCE-RDR:J01002526558865:A1"],
],
dtype="|S40",
),
"N_JPSS_Document_Ref": np.array(
[
[
b"474-00448-02-06_JPSS-DD-Vol-II-Part-6_0200H.pdf"
],
[
b"474-00448-02-06_JPSS-VIIRS-SDR-DD-Part-6_0200H_VIIRS-DNB-SDR-PP.xml"
],
[
b"474-00448-03-06_JPSS-OAD-Vol-III-Part-6-VIIRS-RDR-SDR_-1.pdf"
],
],
dtype="|S68",
),
"N_LEOA_Flag": np.array([[b"On"]], dtype="|S3"),
"N_Nadir_Latitude_Max": np.array(
[[45.3722]], dtype=np.float32
),
"N_Nadir_Latitude_Min": np.array(
[[40.6172]], dtype=np.float32
),
"N_Nadir_Longitude_Max": np.array(
[[-62.80047]], dtype=np.float32
),
"N_Nadir_Longitude_Min": np.array(
[[-64.51342]], dtype=np.float32
),
"N_Number_Of_Scans": np.array([[47]], dtype=np.int32),
"N_Percent_Erroneous_Data": np.array(
[[0.0]], dtype=np.float32
),
"N_Percent_Missing_Data": np.array(
[[51.05127]], dtype=np.float32
),
"N_Percent_Not-Applicable_Data": np.array(
[[0.0]], dtype=np.float32
),
"N_Primary_Label": np.array(
[[b"Non-Primary"]], dtype="|S12"
),
"N_Quality_Summary_Names": np.array(
[
[b"Scan Quality Exclusion"],
[b"Summary VIIRS SDR Quality"],
],
dtype="|S26",
),
"N_Quality_Summary_Values": np.array(
[[24], [49]], dtype=np.int32
),
"N_RSB_Index": np.array([[17]], dtype=np.int32),
"N_Reference_ID": np.array(
[[b"VIIRS-DNB-SDR:J01002526558865:A1"]], dtype="|S33"
),
"N_Satellite/Local_Azimuth_Angle_Max": np.array(
[[179.9995]], dtype=np.float32
),
"N_Satellite/Local_Azimuth_Angle_Min": np.array(
[[-179.9976]], dtype=np.float32
),
"N_Satellite/Local_Zenith_Angle_Max": np.array(
[[69.83973]], dtype=np.float32
),
"N_Satellite/Local_Zenith_Angle_Min": np.array(
[[0.00898314]], dtype=np.float32
),
"N_Software_Version": np.array(
[[b"CSPP_SDR_3_1_3"]], dtype="|S15"
),
"N_Solar_Azimuth_Angle_Max": np.array(
[[73.93496]], dtype=np.float32
),
"N_Solar_Azimuth_Angle_Min": np.array(
[[23.83542]], dtype=np.float32
),
"N_Solar_Zenith_Angle_Max": np.array(
[[147.5895]], dtype=np.float32
),
"N_Solar_Zenith_Angle_Min": np.array(
[[126.3929]], dtype=np.float32
),
"N_Spacecraft_Maneuver": np.array(
[[b"Normal Operations"]], dtype="|S18"
),
"North_Bounding_Coordinate": np.array(
[[46.8018]], dtype=np.float32
),
"South_Bounding_Coordinate": np.array(
[[36.53402]], dtype=np.float32
),
"West_Bounding_Coordinate": np.array(
[[-82.65787]], dtype=np.float32
),
}
},
"attrs": {
"Instrument_Short_Name": np.array([[b"VIIRS"]], dtype="|S6"),
"N_Collection_Short_Name": np.array(
[[b"VIIRS-DNB-SDR"]], dtype="|S14"
),
"N_Dataset_Type_Tag": np.array([[b"SDR"]], dtype="|S4"),
"N_Instrument_Flight_SW_Version": np.array(
[[20], [65534]], dtype=np.int32
),
"N_Processing_Domain": np.array([[b"ops"]], dtype="|S4"),
"Operational_Mode": np.array(
[[b"J01 Normal Operations, VIIRS Operational"]],
dtype="|S41",
),
},
},
},
"attrs": {
"CVIIRS_Version": np.array([[b"2.0.1"]], dtype="|S5"),
"Compact_VIIRS_SDR_Version": np.array([[b"3.1"]], dtype="|S3"),
"Distributor": np.array([[b"cspp"]], dtype="|S5"),
"Mission_Name": np.array([[b"JPSS-1"]], dtype="|S7"),
"N_Dataset_Source": np.array([[b"all-"]], dtype="|S5"),
"N_GEO_Ref": np.array(
[
[
b"GDNBO_j01_d20191025_t0611251_e0612478_b10015_c20191025062405837630_cspp_dev.h5"
]
],
dtype="|S78",
),
"N_HDF_Creation_Date": np.array([[b"20191025"]], dtype="|S8"),
"N_HDF_Creation_Time": np.array([[b"062502.927000Z"]], dtype="|S14"),
"Platform_Short_Name": np.array([[b"J01"]], dtype="|S4"),
"Satellite_Id_Filename": np.array([[b"j01"]], dtype="|S3"),
},
}
return fake_dnb
[docs]
@pytest.fixture()
def fake_dnb_file(fake_dnb, tmp_path):
"""Create an hdf5 file in viirs_compact format with DNB data in it."""
filename = tmp_path / "SVDNBC_j01_d20191025_t0611251_e0612478_b10015_c20191025062459000870_eum_ops.h5"
h5f = h5py.File(filename, mode="w")
fill_h5(h5f, fake_dnb)
for attr, val in fake_dnb["attrs"].items():
h5f.attrs[attr] = val
h5f.close()
return filename
[docs]
class TestCompact:
"""Test class for reading compact viirs format."""
[docs]
@pytest.fixture(autouse=True)
def _setup_method(self, fake_dnb_file):
"""Create a fake file from scratch."""
self.filename = fake_dnb_file
self.client = None
[docs]
def _dataset_iterator(self):
from satpy.readers.viirs_compact import VIIRSCompactFileHandler
from satpy.tests.utils import make_dataid
filename_info = {}
filetype_info = {"file_type": "compact_dnb"}
test = VIIRSCompactFileHandler(self.filename, filename_info, filetype_info)
dsid = make_dataid(name="DNB", calibration="radiance")
ds1 = test.get_dataset(dsid, {})
dsid = make_dataid(name="longitude_dnb")
ds2 = test.get_dataset(dsid, {"standard_name": "longitude"})
dsid = make_dataid(name="latitude_dnb")
ds3 = test.get_dataset(dsid, {"standard_name": "latitude"})
dsid = make_dataid(name="solar_zenith_angle")
ds4 = test.get_dataset(dsid, {"standard_name": "solar_zenith_angle"})
for ds in [ds1, ds2, ds3, ds4]:
yield ds
[docs]
def test_get_dataset(self):
"""Retrieve datasets from a DNB file."""
for ds in self._dataset_iterator():
assert ds.shape == (752, 4064)
assert ds.dtype == np.float32
assert ds.compute().shape == (752, 4064)
assert ds.attrs["rows_per_scan"] == 16
[docs]
def test_distributed(self):
"""Check that distributed computations work."""
from dask.distributed import Client
self.client = Client()
for ds in self._dataset_iterator():
# Check that the computation is running fine.
assert ds.compute().shape == (752, 4064)