def write_bufr(args):
"""Read JSON file, encode as BUFR and write to file-handle.
"""
import json
try:
fh_out = open(args.out_file, "wb")
except:
fh_out = sys.stdout
multi_bul = False
for fn_in in args.in_file:
with open(fn_in, "r") as fh_in:
json_data = json.load(fh_in)
for json_data_msg in json_data:
if not "bufr" in json_data_msg or json_data_msg["bufr"] is None:
continue
bufr = Bufr(tab_fmt=args.tables_type,
tab_path=args.tables_path)
bin_data = bufr.encode(json_data_msg["bufr"],
load_tables=True)
if json_data_msg["heading"] is not None:
multi_bul and fh_out.write(b"\r\r\n\r\r\n")
fh_out.write(("%s\r\r\n" % json_data_msg["heading"]).encode())
fh_out.write(bin_data)
multi_bul = True
if fh_out is not sys.stdout:
fh_out.close()
def read_bufr_desc(args):
"""Read BUFR(s), decode meta-data and descriptor list, write to file-handle.
"""
try:
fh_out = open(args.out_file, "w")
except:
fh_out = sys.stdout
for fn_in in args.in_file:
print("FILE\t%s" % os.path.basename(fn_in), file=fh_out)
i = 0
for blob, size, header in load_file.next_bufr(fn_in):
if args.bulletin is not None and i != args.bulletin:
i += 1
continue
print("BUFR\t#%d (%d B)" % (i, size), file=fh_out)
i += 1
print("HEADER\t%s" % header, file=fh_out)
try:
bufr = Bufr(args.tables_type, args.tables_path)
bufr.decode_meta(blob, load_tables=(not args.sparse))
print("META\n%s" % bufr.get_meta_str(), file=fh_out)
if args.sparse:
d = bufr.get_descr_short()
else:
d = bufr.get_descr_full()
print("DESC :\n%s" % "\n".join(d), file=fh_out)
except Exception as e:
print("ERROR\t%s" % e, file=fh_out)
if logger.isEnabledFor(logging.DEBUG):
logger.exception(e)
if fh_out is not sys.stdout:
fh_out.close()
def read_bufr_to_json(args):
"""Read and decode BUFR, write as JSON formatted file.
"""
bufr = Bufr(args.tables_type, args.tables_path)
json_data = []
bufr_i = -1
for fn_in in args.in_file:
for blob, _, header in load_file.next_bufr(fn_in):
bufr_i += 1
if args.bulletin is not None and bufr_i != args.bulletin:
continue
json_data_item = {
"heading": header,
"file": os.path.basename(fn_in),
"index": bufr_i,
"status": False,
"error": None,
"bufr": None,
}
try:
json_bufr = bufr.decode(blob,
load_tables=True,
as_array=args.array)
except Exception as e:
logger.error(e,
exc_info=1 and logger.isEnabledFor(logging.DEBUG))
json_data_item["error"] = str(e)
else:
json_data_item["status"] = True
json_data_item["bufr"] = json_bufr
finally:
json_data.append(json_data_item)
import json
out_fh = open(args.out_file, "w") or sys.stdout
with out_fh as fh_out:
if args.sparse:
json.dump(json_data, fh_out)
else:
json.dump(json_data, fh_out, indent=3, separators=(',', ': '))
def test_bufr_read(monkeypatch):
"""Test reading data and data quality on Metop-A MHS BUFR file."""
monkeypatch.setenv("BUFR_TABLES", os.path.join(test_dir, "bufrtables"))
monkeypatch.setenv("BUFR_TABLES_TYPE", "bufrdc")
from trollbufr import load_file
from trollbufr.bufr import Bufr
test_file = os.path.join(test_dir, "metop_mhs.bufr")
bufr = Bufr(os.environ["BUFR_TABLES_TYPE"], os.environ["BUFR_TABLES"])
# laod test file and iterate over BUFR
for blob, size, header in load_file.next_bufr(test_file):
# test header for first BUFR
assert header == "IEMX01 EUMP 150722"
assert size == 48598
# decode BUFR message
bufr.decode(blob)
# iterate over subsets
for report in bufr.next_subset():
i = 0
# iterate over all descriptor/data sets
for k, m, (v, q) in report.next_data():
i += 1
if i >= 4:
# after first 3 descriptor/data sets just count
continue
if i <= 3:
# type-marker for first 3 descriptor is not None
assert m is not None
continue
# assert descriptor, data value, quality
assert m is not None
assert k == 8070
assert v == 3
assert q is None
# look-up and assert name and unit
kn, ku = bufr.get_tables().lookup_elem(k)
assert kn.strip() == "TOVS/ATOVS PRODUCT QUALIFIER"
assert ku.strip() == "CODE TABLE 8070"
# assert there were 88 descriptors in the subset
assert i == 88
# leave for-loops, all tests are done
break
break
handler.setLevel(logging.WARNING)
logging.getLogger('').setLevel(logging.WARNING)
logging.getLogger('').addHandler(handler)
from trollbufr.bufr import Bufr
from trollbufr import load_file
import numpy as np
TESTFILE = 'TestBulletin_468'
PNGFILE = 'metopa_iasi_ctp_%s.png'
AREA = 'euro'
lon = []
lat = []
pres = []
bfr = Bufr("bufrdc", ".")
for blob, size, header in load_file.next_bufr(TESTFILE):
bfr.decode(blob)
print header, bfr.get_meta()['datetime']
for subset in bfr.next_subset():
gotit = 0
for k, m, (v, q) in subset.next_data():
if gotit:
continue
if k == 5001:
lat.append((0, 0, v))
if k == 6001:
lon.append((0, 0, v))
if k == 7004:
pres.append((0, 0, v))
gotit = 1
def runner(args):
bufr = Bufr(os.environ["BUFR_TABLES_TYPE"], os.environ["BUFR_TABLES"])
with open(args.filename[0], "rb") as fh_in:
bufr_data = fh_in.read()
if args.amtl:
station_descr = (1002, )
else:
station_descr = (1002, 1018)
try:
with gzip_open("%s.geojson.gz" % args.filename[0], "wt") as fh_out:
i = 0
if args.jsonp:
fh_out.write('appendData( ')
fh_out.write('{ "type" : "FeatureCollection",\n')
fh_out.write('"datetime_current" : "%s",\n' %
(datetime.utcnow().strftime("%Y-%m-%d %H:%M")))
fh_out.write('"features" : [')
for blob, size, header in trollbufr.load_file.next_bufr(
bin_data=bufr_data):
bufr.decode_meta(blob)
tabl = bufr.get_tables()
for report in bufr.next_subset():
station_accepted = False
feature_set = {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": []
},
"properties": {}
}
feature_coordinates = [0, 0, 0]
feature_properties = {"abbreviated_heading": header}
try:
j = 0
for descr_entry in report.next_data():
if descr_entry.mark is not None:
continue
if descr_entry.descr in (5001, 5002, 27001, 27002):
feature_coordinates[1] = descr_entry.value
continue
if descr_entry.descr in (6001, 6002, 28001, 28002):
feature_coordinates[0] = descr_entry.value
continue
if descr_entry.descr in (
7001, 7002, 7007, 7030,
10007) and descr_entry.value:
feature_coordinates[2] = descr_entry.value
continue
if descr_entry.descr in station_descr and descr_entry.value is not None:
station_accepted = True
# d_name, d_unit, d_typ
d_info = tabl.lookup_elem(descr_entry.descr)
if d_info.unit.upper() in ("CCITT IA5", "NUMERIC",
"CODE TABLE",
"FLAG TABLE"):
d_unit = None
else:
d_unit = d_info.unit
if descr_entry.value is None or d_info.type in (
TabBType.NUMERIC, TabBType.LONG,
TabBType.DOUBLE):
d_value = descr_entry.value
elif d_info.type in (
TabBType.CODE, TabBType.FLAG
) and descr_entry.value is not None:
d_value = tabl.lookup_codeflag(
descr_entry.descr, descr_entry.value)
else:
d_value = str(
descr_entry.value).decode("latin1")
feature_properties["data_%03d" % (j)] = {
"name": d_info.name,
"value": d_value
}
if d_info.shortname is not None:
feature_properties[
"data_%03d" %
(j)]["shortname"] = d_info.shortname
if d_unit is not None:
feature_properties["data_%03d" %
(j)]["unit"] = str(d_unit)
j += 1
except Exception as e:
station_accepted = False
if "Unknown descriptor" not in str(e):
raise e
if station_accepted:
if i:
fh_out.write(",\n")
i += 1
feature_set["geometry"][
"coordinates"] = feature_coordinates
feature_set["properties"] = feature_properties
dump(feature_set,
fh_out,
indent=3,
separators=(',', ': '))
fh_out.write(']\n}\n')
if args.jsonp:
fh_out.write(');\n')
except Exception as e:
logger.info(e, exc_info=1)
return 0
def read_synop(file, params, min=None, max=None):
""" Reading bufr files for synoptical station data and provide dictionary
with weather data for cloud base height and visibility.
The results are subsequently filtered by cloud base height and visibility
Arguments:
file Bufr file with synop reports
params List of parameter names that will be extracted
min Threshold for minimum value of parameter
max Threshold for maximum value of parameter
Returns list of station dictionaries for given thresholds
"""
result = {}
bfr = Bufr("libdwd", os.getenv("BUFR_TABLES"))
for blob, size, header in load_file.next_bufr(file):
bfr.decode(blob)
try:
for subset in bfr.next_subset():
stationdict = {}
for (k, m, v, q) in subset.next_data():
if k == 1015: # Station name
stationdict['name'] = v.strip()
if k == 5001: # Latitude
stationdict['lat'] = v
if k == 6001: # Longitude
stationdict['lon'] = v
if k == 7030: # Altitude
stationdict['altitude'] = v
elif k == 4001: # Year
stationdict['year'] = v
elif k == 4002: # Month
stationdict['month'] = v
elif k == 4003: # Day
stationdict['day'] = v
elif k == 4004: # Hour
stationdict['hour'] = v
elif k == 4005: # Hour
stationdict['minute'] = v
elif k == 20003: # Present weather
stationdict['present weather'] = v
# Values from 40 to 49 are refering to fog and ice fog
# Patchy fog or fog edges value 11 or 12
elif k == 20004: # Past weather
stationdict['past weather'] = v
# Values from 40 to 49 are refering to fog and ice fog
# Patchy fog or fog edges value 11 or 12
elif k == 20013: # Cloud base height
if v is not None:
if ('cbh' in stationdict.keys()
and stationdict["cbh"] is not None):
if stationdict['cbh'] > v:
stationdict['cbh'] = v
else:
stationdict['cbh'] = v
else:
stationdict['cbh'] = None
elif k == 2001: # Auto/manual measurement
# 1 - 3 : Manual human observations. Manned stations
# 0, 4 - 7 : Only automatic observations
stationdict['type'] = v
elif k == 20001: # Visibility
stationdict['visibility'] = v
elif k == 12101: # Mean air temperature in K
stationdict['air temperature'] = v
elif k == 12103: # Dew point temperature in K
stationdict['dew point'] = v
elif k == 20010: # Cloud cover in %
stationdict['cloudcover'] = v
elif k == 13003: # Relative humidity in %
stationdict['relative humidity'] = v
elif k == 11001: # Wind direction in degree
stationdict['wind direction'] = v
elif k == 11002: # Wind speed in m s-1
stationdict['wind speed'] = v
elif k == 1002: # WMO station number
stationdict['wmo'] = v
# Apply thresholds
stationtime = datetime(
stationdict['year'],
stationdict['month'],
stationdict['day'],
stationdict['hour'],
stationdict['minute'],
).strftime("%Y%m%d%H%M%S")
paralist = []
if not isinstance(params, list):
params = [params]
for param in params:
if param not in stationdict:
res = None
elif min is not None and stationdict[param] < min:
res = None
elif max is not None and stationdict[param] >= max:
res = None
elif stationdict[param] is None:
res = None
else:
res = stationdict[param]
paralist.append(res)
if all([i is None for i in paralist]):
continue
# Add station data to result list
if stationtime in result.keys():
result[stationtime].append([
stationdict['name'], stationdict['altitude'],
stationdict['lat'], stationdict['lon']
] + paralist)
else:
result[stationtime] = [[
stationdict['name'], stationdict['altitude'],
stationdict['lat'], stationdict['lon']
] + paralist]
except DummyException as e:
"ERROR: Unresolved station request: {}".format(e)
return (result)
import logging
handler = logging.StreamHandler()
handler.setFormatter(
logging.Formatter("[%(levelname)s: %(module)s] %(message)s"))
handler.setLevel(logging.WARNING)
logging.getLogger('').setLevel(logging.WARNING)
logging.getLogger('').addHandler(handler)
from trollbufr.bufr import Bufr
from trollbufr import load_file
import sys
if len(sys.argv) != 2:
print "SYNTAX:", sys.argv[0], "<bufr>"
sys.exit(1)
testfile = sys.argv[1]
bfr = Bufr("eccodes", "tables")
for blob, size, header in load_file.next_bufr(testfile):
bfr.decode(blob)
print "\n", testfile, header, "\n", bfr.get_meta_str()
for subset in bfr.next_subset():
for k, m, (v, q) in subset.next_data():
print k, m, v
break
with open(header.replace(" ", "_"), "w") as fh:
fh.write(blob[0:])
def read_bufr_data(args):
"""Read BUFR(s), decode data section and write to file-handle.
Depending on command argument "--array", either process the subsets in
sequence, which is ideal for un-compressed BUFR, or process each descriptor
per all subsets at once, which improves performance for compressed BUFR.
"""
try:
fh_out = open(args.out_file, "w")
except:
fh_out = sys.stdout
bufr = Bufr(args.tables_type, args.tables_path)
for fn_in in args.in_file:
print("FILE\t%s" % os.path.basename(fn_in), file=fh_out)
i = 0
for blob, size, header in load_file.next_bufr(fn_in):
if args.bulletin is not None and i != args.bulletin:
i += 1
continue
print("BUFR\t#%d (%d B)" % (i, size), file=fh_out)
i += 1
print("HEADER\t%s" % header, file=fh_out)
try:
bufr.decode_meta(blob, load_tables=False)
tabl = bufr.load_tables()
print("META:\n%s" % bufr.get_meta_str(), file=fh_out)
for report in bufr.next_subset(args.array
and bufr.is_compressed):
print("SUBSET\t#%d/%d" % report.subs_num, file=fh_out)
if args.sparse or (args.array and bufr.is_compressed):
for descr_entry in report.next_data():
if descr_entry.mark is not None:
if isinstance(descr_entry.value, (list)):
descr_value = "".join(
[str(x) for x in descr_entry.value])
else:
descr_value = descr_entry.value
print(" ",
descr_entry.mark,
descr_value,
end="",
file=fh_out)
print(file=fh_out)
continue
if descr_entry.value is None:
print("%06d: ///" % (descr_entry.descr),
file=fh_out)
elif descr_entry.quality is not None:
print(
"%06d: %s (%s)" %
(descr_entry.descr, str(descr_entry.value),
descr_entry.quality),
file=fh_out)
else:
print("%06d: %s" % (descr_entry.descr,
str(descr_entry.value)),
file=fh_out)
else:
for descr_entry in report.next_data():
if descr_entry.mark is not None:
if isinstance(descr_entry.value, (list)):
descr_value = "".join(
[str(x) for x in descr_entry.value])
else:
descr_value = descr_entry.value
print(" ",
descr_entry.mark,
descr_value,
end="",
file=fh_out)
print(file=fh_out)
continue
descr_info = tabl.lookup_elem(descr_entry.descr)
if descr_info.type in (TabBType.CODE,
TabBType.FLAG):
if descr_entry.value is None:
print("%06d %-40s = Missing value" %
(descr_entry.descr, descr_info.name),
file=fh_out)
else:
v = tabl.lookup_codeflag(
descr_entry.descr, descr_entry.value)
print("%06d %-40s = %s" %
(descr_entry.descr, descr_info.name,
str(v)),
file=fh_out)
else:
if descr_info.unit in ("CCITT IA5", "Numeric"):
dinf_unit = ""
else:
dinf_unit = descr_info.unit
if descr_entry.value is None:
print("%06d %-40s = /// %s" %
(descr_entry.descr, descr_info.name,
dinf_unit),
file=fh_out)
elif descr_entry.quality is not None:
print("%06d %-40s = %s %s (%s)" %
(descr_entry.descr, descr_info.name,
str(descr_entry.value), dinf_unit,
descr_entry.quality),
file=fh_out)
else:
print("%06d %-40s = %s %s" %
(descr_entry.descr, descr_info.name,
str(descr_entry.value), dinf_unit),
file=fh_out)
except Exception as e:
print("ERROR\t%s" % e, file=fh_out)
if logger.isEnabledFor(logging.DEBUG):
logger.exception(e)
else:
logger.warning(e)
if fh_out is not sys.stdout:
fh_out.close()
handler.setLevel(logging.WARNING)
logging.getLogger('').setLevel(logging.WARNING)
logging.getLogger('').addHandler(handler)
from trollbufr.bufr import Bufr
from trollbufr import load_file
import numpy as np
TESTFILE = 'TestBulletin_468'
PNGFILE = 'metopa_iasi_ctp_%s.png'
AREA = 'euro'
lon = []
lat = []
pres = []
bfr = Bufr("bufrdc", ".")
for blob, size, header in load_file.next_bufr(TESTFILE):
bfr.decode(blob)
print header, bfr.get_meta()['datetime']
for subset in bfr.next_subset():
gotit = 0
for k, m, (v, q) in subset.next_data():
if gotit:
continue
if k == 5001:
lat.append((0, 0, v))
if k == 6001:
lon.append((0, 0, v))
if k == 7004:
pres.append((0, 0, v))
gotit = 1
from trollbufr.bufr import Bufr
from trollbufr import load_file
import numpy as np
import sys
if len(sys.argv) != 3:
print "SYNTAX:", sys.argv[0], "<bufr> <png>"
sys.exit(1)
testfile = sys.argv[1]
pngfile = sys.argv[2]
lon = []
lat = []
pres = []
bfr = Bufr("eccodes", "tables")
for blob, size, header in load_file.next_bufr(testfile):
bfr.decode(blob)
print header, bfr.get_meta()['datetime']
for subset in bfr.next_subset():
gotit = 0
for k, m, (v, q) in subset.next_data():
if gotit:
continue
if k == 5001:
lat.append((0, 0, v))
if k == 6001:
lon.append((0, 0, v))
if k == 7004:
pres.append((0, 0, v))
gotit = 1
import sys
import glob
import logging
handler = logging.StreamHandler()
handler.setFormatter(
logging.Formatter("[%(levelname)s: %(module)s] %(message)s"))
# handler.setLevel(logging.DEBUG)
# logging.getLogger('').setLevel(logging.DEBUG)
handler.setLevel(logging.WARNING)
logging.getLogger('').setLevel(logging.WARNING)
logging.getLogger('').addHandler(handler)
fp = sys.argv[1]
bfr = Bufr("eccodes", "tables")
for fn in glob.glob(fp):
print fn
i = 0
for blob, size, header in load_file.next_bufr(fn):
try:
bfr.decode(blob)
lon = lat = 0
for subset in bfr.next_subset():
for k, m, (v, q) in subset.next_data():
if k == 5001:
lat = v
if k == 6001:
lon = v
break
