def from_path(path):
"""
Dodgy as method to construct a Dataset from a filename
:param filename:
:return:
"""
# At the moment I just need this to work for the WOFS extent files
# which are named like
# LS5_TM_WATER_120_-021_2004-09-20T01-40-14.409038.tif
# LS7_ETM_WATER_120_-021_2006-06-30T01-45-48.187525.tif
# And I am writing this at 4pm on a Sunday afternoon so I can't even be bothered doing it properly dodgily
# That is, using regex'es or something...
# Throw this away!!!
import os
from datacube.api.utils import extract_fields_from_filename
out = None
satellite, dataset_type, x, y, acq_dt = extract_fields_from_filename(os.path.basename(path))
out = DatasetTile(satellite.value, dataset_type.value, path)
return out
def run(self):
self.parse_arguments()
config = Config()
_log.debug(config.to_str())
cell_x, cell_y = latlon_to_cell(self.latitude, self.longitude)
# TODO once WOFS is in the cube
if self.dataset_type in dataset_type_database:
# TODO - PQ is UNIT16 (others are INT16) and so -999 NDV doesn't work
ndv = self.dataset_type == DatasetType.PQ25 and UINT16_MAX or NDV
headered = False
with self.get_output_file(self.dataset_type, self.overwrite) as csv_file:
csv_writer = csv.writer(csv_file, delimiter=self.delimiter)
for tile in list_tiles(x=[cell_x], y=[cell_y], acq_min=self.acq_min, acq_max=self.acq_max,
satellites=[satellite for satellite in self.satellites],
dataset_types=[self.dataset_type],
database=config.get_db_database(),
user=config.get_db_username(),
password=config.get_db_password(),
host=config.get_db_host(), port=config.get_db_port()):
# Output a HEADER
if not headered:
header_fields = ["SATELLITE", "ACQUISITION DATE"] + [b.name for b in tile.datasets[self.dataset_type].bands]
csv_writer.writerow(header_fields)
headered = True
pqa = None
# Apply PQA if specified
if self.apply_pqa_filter:
pqa = tile.datasets[DatasetType.PQ25]
data = retrieve_pixel_value(tile.datasets[self.dataset_type], pqa, self.pqa_mask, self.latitude, self.longitude, ndv=ndv)
_log.debug("data is [%s]", data)
if has_data(tile.datasets[self.dataset_type], data, no_data_value=ndv) or self.output_no_data:
csv_writer.writerow([tile.datasets[self.dataset_type].satellite.value, str(tile.end_datetime)] + decode_data(tile.datasets[self.dataset_type], data))
elif self.dataset_type == DatasetType.WATER:
base = "/g/data/u46/wofs/water_f7q/extents/{x:03d}_{y:04d}/LS*_WATER_{x:03d}_{y:04d}_*.tif".format(x=cell_x, y=cell_y)
headered = False
with self.get_output_file(self.dataset_type, self.overwrite) as csv_file:
csv_writer = csv.writer(csv_file, delimiter=self.delimiter)
for f in glob.glob(base):
_log.debug(" *** Found WOFS file [%s]", f)
satellite, dataset_type, x, y, acq_dt = extract_fields_from_filename(os.path.basename(f))
if acq_dt.date() < self.acq_min or acq_dt.date() > self.acq_max:
continue
dataset = DatasetTile.from_path(f)
_log.debug("Found dataset [%s]", dataset)
# Output a HEADER
if not headered:
header_fields = ["SATELLITE", "ACQUISITION DATE"] + [b.name for b in dataset.bands]
csv_writer.writerow(header_fields)
headered = True
data = retrieve_pixel_value(dataset, None, None, self.latitude, self.longitude)
_log.debug("data is [%s]", data)
# TODO
if True or self.output_no_data:
csv_writer.writerow([satellite.value, str(acq_dt), decode_wofs_water_value(data[Wofs25Bands.WATER][0][0]), str(data[Wofs25Bands.WATER][0][0])])
