def test_downloader_tiff():
# Extract bounding box from shapefile.
point1, point2 = shpm.extract_shp_boundingbox(SHP_PATH)
source = 'LandDAAC-v5-day'
print(os.getcwd())
dates = pd.date_range('2016-07-20', '2016-08-05', freq='8D')
options = {
'plot': False,
'keep_original': True,
'regrid': [3, 'bilinear'],
'close_browser': True,
}
td.download_tiffs(source, dates, point1, point2, opt=options)
# Checks at source if tiff files were generated.
files_dir = os.listdir(os.path.join(DOWNLOADFILES_PATH, 'LandDAAC-v5-day'))
tiff_files_list = [
'LandDAAC-v5-day-2016-07-20.tiff',
'LandDAAC-v5-day-2016-08-05-treated.tiff',
'LandDAAC-v5-day-2016-08-05.tiff',
'LandDAAC-v5-day-2016-07-28-treated.tiff',
'LandDAAC-v5-day-2016-07-20-treated.tiff',
'LandDAAC-v5-day-2016-07-28.tiff',
]
assert set(files_dir) == set(tiff_files_list)
def test_LandDAAC_v5_night():
source = 'LandDAAC-v5-night'
dates = pd.date_range('2016-07-20', '2016-08-05', freq='8D')
point1, point2 = shpm.extract_shp_boundingbox(SHP_PATH)
# Allow time_series to create a netcdf file
options = {
'regrid': [3, 'cubic'],
'keep_original': False,
'time_series': True,
'close_browser': True,
}
td.download_tiffs(source, dates, point1, point2, opt=options)
# Read if the file format is valid.
filename = 'time_series.nc'
path_tmp = os.path.join(DOWNLOADFILES_PATH, source)
nc_filename = os.path.join(path_tmp, filename)
try:
# Open the netCDF file and read it.
nc = Dataset(nc_filename, 'r')
except OSError:
print('{} failed in process {}'.format(nc_filename, i))
nc_model = nc.data_model
assert nc_model == "NETCDF4", "The {} format is not correct".format(
nc_model)
def download_source(source, dates, point1, point2, opt=False):
"""
Download satelite tiff files and save it to the directory 'downloadedFiles'.
"""
try:
logger.info("Capturando {} {}".format(source, dates))
td.download_tiffs(source, dates, point1, point2, opt)
except Exception as e:
logger.error(
"Error capturando from {} at {} error: {}".format(source, dates, e)
)
return
return