#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2014-2018 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/>.
"""HRIT/LRIT format reader.
This module is the base module for all HRIT-based formats. Here, you will find
the common building blocks for hrit reading.
One of the features here is the on-the-fly decompression of hrit files. It needs
a path to the xRITDecompress binary to be provided through the environment
variable called XRIT_DECOMPRESS_PATH. When compressed hrit files are then
encountered (files finishing with `.C_`), they are decompressed to the system's
temporary directory for reading.
"""
import logging
import os
from contextlib import contextmanager, nullcontext
from datetime import timedelta
from io import BytesIO
from subprocess import PIPE, Popen # nosec B404
import dask
import dask.array as da
import numpy as np
import xarray as xr
from pyresample import geometry
import satpy.readers.utils as utils
from satpy import config
from satpy.readers import FSFile
from satpy.readers.eum_base import time_cds_short
from satpy.readers.file_handlers import BaseFileHandler
from satpy.readers.seviri_base import dec10216
logger = logging.getLogger('hrit_base')
common_hdr = np.dtype([('hdr_id', 'u1'),
('record_length', '>u2')])
primary_header = np.dtype([('file_type', 'u1'),
('total_header_length', '>u4'),
('data_field_length', '>u8')])
image_structure = np.dtype([('number_of_bits_per_pixel', 'u1'),
('number_of_columns', '>u2'),
('number_of_lines', '>u2'),
('compression_flag_for_data', 'u1')])
image_navigation = np.dtype([('projection_name', 'S32'),
('cfac', '>i4'),
('lfac', '>i4'),
('coff', '>i4'),
('loff', '>i4')])
image_data_function = np.dtype([('function', '|S1')])
annotation_header = np.dtype([('annotation', '|S1')])
timestamp_record = np.dtype([('cds_p_field', 'u1'),
('timestamp', time_cds_short)])
ancillary_text = np.dtype([('ancillary', '|S1')])
key_header = np.dtype([('key', '|S1')])
base_text_headers = {image_data_function: 'image_data_function',
annotation_header: 'annotation_header',
ancillary_text: 'ancillary_text',
key_header: 'key_header'}
base_hdr_map = {0: primary_header,
1: image_structure,
2: image_navigation,
3: image_data_function,
4: annotation_header,
5: timestamp_record,
6: ancillary_text,
7: key_header,
}
[docs]def get_xritdecompress_cmd():
"""Find a valid binary for the xRITDecompress command."""
cmd = os.environ.get('XRIT_DECOMPRESS_PATH', None)
if not cmd:
raise IOError("XRIT_DECOMPRESS_PATH is not defined (complete path to xRITDecompress)")
question = ("Did you set the environment variable XRIT_DECOMPRESS_PATH correctly?")
if not os.path.exists(cmd):
raise IOError(str(cmd) + " does not exist!\n" + question)
elif os.path.isdir(cmd):
raise IOError(str(cmd) + " is a directory!\n" + question)
return cmd
[docs]def get_xritdecompress_outfile(stdout):
"""Analyse the output of the xRITDecompress command call and return the file."""
outfile = b''
for line in stdout:
try:
k, v = [x.strip() for x in line.split(b':', 1)]
except ValueError:
break
if k == b'Decompressed file':
outfile = v
break
return outfile
[docs]def decompress(infile, outdir='.'):
"""Decompress an XRIT data file and return the path to the decompressed file.
It expect to find Eumetsat's xRITDecompress through the environment variable
XRIT_DECOMPRESS_PATH.
"""
cmd = get_xritdecompress_cmd()
infile = os.path.abspath(infile)
cwd = os.getcwd()
os.chdir(outdir)
p = Popen([cmd, infile], stdout=PIPE) # nosec B603
stdout = BytesIO(p.communicate()[0])
status = p.returncode
os.chdir(cwd)
if status != 0:
raise IOError("xrit_decompress '%s', failed, status=%d" % (infile, status))
outfile = get_xritdecompress_outfile(stdout)
if not outfile:
raise IOError("xrit_decompress '%s', failed, no output file is generated" % infile)
return os.path.join(outdir, outfile.decode('utf-8'))
[docs]class HRITFileHandler(BaseFileHandler):
"""HRIT standard format reader."""
def __init__(self, filename, filename_info, filetype_info, hdr_info):
"""Initialize the reader."""
super(HRITFileHandler, self).__init__(filename, filename_info,
filetype_info)
self.mda = {}
self.hdr_info = hdr_info
self._get_hd(self.hdr_info)
self._start_time = filename_info['start_time']
self._end_time = self._start_time + timedelta(minutes=15)
def _get_hd(self, hdr_info):
"""Open the file, read and get the basic file header info and set the mda dictionary."""
hdr_map, variable_length_headers, text_headers = hdr_info
with utils.generic_open(self.filename, mode='rb') as fp:
total_header_length = 16
while fp.tell() < total_header_length:
hdr_id = get_header_id(fp)
the_type = hdr_map[hdr_id['hdr_id']]
if the_type in variable_length_headers:
field_length = int((hdr_id['record_length'] - 3) /
the_type.itemsize)
current_hdr = get_header_content(fp, the_type, field_length)
key = variable_length_headers[the_type]
if key in self.mda:
if not isinstance(self.mda[key], list):
self.mda[key] = [self.mda[key]]
self.mda[key].append(current_hdr)
else:
self.mda[key] = current_hdr
elif the_type in text_headers:
field_length = int((hdr_id['record_length'] - 3) /
the_type.itemsize)
char = list(the_type.fields.values())[0][0].char
new_type = np.dtype(char + str(field_length))
current_hdr = get_header_content(fp, new_type)[0]
self.mda[text_headers[the_type]] = current_hdr
else:
current_hdr = get_header_content(fp, the_type)[0]
self.mda.update(
dict(zip(current_hdr.dtype.names, current_hdr)))
total_header_length = self.mda['total_header_length']
self.mda.setdefault('number_of_bits_per_pixel', 10)
self.mda['projection_parameters'] = {'a': 6378169.00,
'b': 6356583.80,
'h': 35785831.00,
# FIXME: find a reasonable SSP
'SSP_longitude': 0.0}
self.mda['orbital_parameters'] = {}
@property
def start_time(self):
"""Get start time."""
return self._start_time
@property
def end_time(self):
"""Get end time."""
return self._end_time
[docs] def get_dataset(self, key, info):
"""Load a dataset."""
# Read bands
data = self.read_band(key, info)
# Convert to xarray
xdata = xr.DataArray(data, dims=['y', 'x'])
return xdata
[docs] def get_xy_from_linecol(self, line, col, offsets, factors):
"""Get the intermediate coordinates from line & col.
Intermediate coordinates are actually the instruments scanning angles.
"""
loff, coff = offsets
lfac, cfac = factors
x__ = (col - coff) / cfac * 2**16
y__ = (line - loff) / lfac * 2**16
return x__, y__
[docs] def get_area_extent(self, size, offsets, factors, platform_height):
"""Get the area extent of the file."""
nlines, ncols = size
h = platform_height
# count starts at 1
cols = 1 - 0.5
lines = 1 - 0.5
ll_x, ll_y = self.get_xy_from_linecol(lines, cols, offsets, factors)
cols += ncols
lines += nlines
ur_x, ur_y = self.get_xy_from_linecol(lines, cols, offsets, factors)
return (np.deg2rad(ll_x) * h, np.deg2rad(ll_y) * h,
np.deg2rad(ur_x) * h, np.deg2rad(ur_y) * h)
[docs] def get_area_def(self, dsid):
"""Get the area definition of the band."""
cfac = np.int32(self.mda['cfac'])
lfac = np.int32(self.mda['lfac'])
coff = np.float32(self.mda['coff'])
loff = np.float32(self.mda['loff'])
a = self.mda['projection_parameters']['a']
b = self.mda['projection_parameters']['b']
h = self.mda['projection_parameters']['h']
lon_0 = self.mda['projection_parameters']['SSP_longitude']
nlines = int(self.mda['number_of_lines'])
ncols = int(self.mda['number_of_columns'])
area_extent = self.get_area_extent((nlines, ncols),
(loff, coff),
(lfac, cfac),
h)
proj_dict = {'a': float(a),
'b': float(b),
'lon_0': float(lon_0),
'h': float(h),
'proj': 'geos',
'units': 'm'}
area = geometry.AreaDefinition(
'some_area_name',
"On-the-fly area",
'geosmsg',
proj_dict,
ncols,
nlines,
area_extent)
self.area = area
return area
[docs] def read_band(self, key, info):
"""Read the data."""
output_dtype, output_shape = self._get_output_info()
return da.from_delayed(_read_data(self.filename, self.mda),
shape=output_shape,
dtype=output_dtype)
def _get_output_info(self):
bpp = self.mda['number_of_bits_per_pixel']
if bpp in [10, 16]:
output_dtype = np.uint16
elif bpp == 8:
output_dtype = np.uint8
else:
raise ValueError(f"Unexpected number of bits per pixel: {bpp}")
output_shape = (self.mda['number_of_lines'], self.mda['number_of_columns'])
return output_dtype, output_shape
@dask.delayed
def _read_data(filename, mda):
return HRITSegment(filename, mda).read_data()
[docs]@contextmanager
def decompressed(filename):
"""Decompress context manager."""
try:
new_filename = decompress(filename, config["tmp_dir"])
except IOError as err:
logger.error("Unpacking failed: %s", str(err))
raise
yield new_filename
os.remove(new_filename)
[docs]class HRITSegment:
"""An HRIT segment with data."""
def __init__(self, filename, mda):
"""Set up the segment."""
self.filename = filename
self.mda = mda
self.lines = mda['number_of_lines']
self.cols = mda['number_of_columns']
self.bpp = mda['number_of_bits_per_pixel']
self.compressed = mda['compression_flag_for_data'] == 1
self.offset = mda['total_header_length']
self.zipped = os.fspath(filename).endswith('.bz2')
[docs] def read_data(self):
"""Read the data."""
data = self._read_data_from_file()
if self.bpp == 10:
data = dec10216(data)
data = data.reshape((self.lines, self.cols))
return data
def _read_data_from_file(self):
if self._is_file_like():
return self._read_file_like()
return self._read_data_from_disk()
def _is_file_like(self):
return isinstance(self.filename, FSFile)
def _read_data_from_disk(self):
# For reading the image data, unzip_context is faster than generic_open
dtype, shape = self._get_input_info()
with utils.unzip_context(self.filename) as fn:
with decompressed(fn) if self.compressed else nullcontext(fn) as filename:
return np.fromfile(filename,
offset=self.offset,
dtype=dtype,
count=np.prod(shape))
def _read_file_like(self):
# filename is likely to be a file-like object, already in memory
dtype, shape = self._get_input_info()
with utils.generic_open(self.filename, mode="rb") as fp:
no_elements = np.prod(shape)
fp.seek(self.offset)
return np.frombuffer(
fp.read(np.dtype(dtype).itemsize * no_elements),
dtype=np.dtype(dtype),
count=no_elements.item()
).reshape(shape)
def _get_input_info(self):
total_bits = int(self.lines) * int(self.cols) * int(self.bpp)
input_shape = int(np.ceil(total_bits / 8.))
if self.bpp == 16:
input_dtype = '>u2'
input_shape //= 2
elif self.bpp in [8, 10]:
input_dtype = np.uint8
else:
raise ValueError(f"Unexpected number of bits per pixel: {self.bpp}")
input_shape = (input_shape,)
return input_dtype, input_shape