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ts_102_221: support EF.ARR record decoding for DF, not just EF

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Sadly, the EF.ARR interpretation, specifically that of the AM_DO
depends on whether the rule is for a DF or EF.  As we don't know this,
allow the user to specify what kind of decode they would like, at least
in the file-specific read_arr_record + read_arr_records command.

Change-Id: I05e629e8b7dc705730d7039d2d0170ee24f8f844
This commit is contained in:
Harald Welte
2026-08-15 11:29:24 +02:00
parent bb362482e8
commit f4eb2f9356
1 changed files with 30 additions and 8 deletions
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pySim/ts_102_221.py
+30 -8
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@@ -17,6 +17,7 @@ You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
from bidict import bidict
import copy
from construct import Select, Const, Bit, Struct, Int16ub, FlagsEnum, GreedyString, ValidationError
from construct import Optional as COptional, Computed
@@ -732,36 +733,57 @@ class EF_ARR(LinFixedEF):
raise ValueError
return by_mode
@staticmethod
def __get_do_sequence(decode_for_df : bool = False):
if decode_for_df:
return DataObjectSequence('arr', sequence=[AM_DO_DF, SC_DO])
else:
return DataObjectSequence('arr', sequence=[AM_DO_EF, SC_DO])
def _decode_record_bin(self, raw_bin_data, **kwargs):
# we can only guess if we should decode for EF or DF here :(
arr_seq = DataObjectSequence('arr', sequence=[AM_DO_EF, SC_DO])
# we can only guess if we should decode for EF or DF here, but our caller may
# be able to pass us a hint:
arr_seq = self.__get_do_sequence(kwargs.get('decode_for_df', False))
dec = arr_seq.decode_multi(raw_bin_data)
# we cannot pass the result through flatten() here, as we don't have a related
# 'un-flattening' decoder, and hence would be unable to encode :(
return dec[0]
def _encode_record_bin(self, in_json, **kwargs):
# we can only guess if we should decode for EF or DF here :(
arr_seq = DataObjectSequence('arr', sequence=[AM_DO_EF, SC_DO])
# we can only guess if we should decode for EF or DF here, but our caller may
# be able to pass us a hint:
arr_seq = self.__get_do_sequence(kwargs.get('encode_for_df', False))
return arr_seq.encode_multi(in_json)
@with_default_category('File-Specific Commands')
class AddlShellCommands(CommandSet):
@cmd2.with_argparser(LinFixedEF.ShellCommands.read_rec_dec_parser)
read_arr_argparser = copy.deepcopy(LinFixedEF.ShellCommands.read_rec_dec_parser)
read_arr_argparser.add_argument('--decode-for-df', action='store_true',
help='Decode EF.ARR record as if used by a DF (default: EF)')
@cmd2.with_argparser(read_arr_argparser)
def do_read_arr_record(self, opts):
"""Read one EF.ARR record in flattened, human-friendly form."""
(data, _sw) = self._cmd.lchan.read_record_dec(opts.RECORD_NR)
(hexdata, _sw) = self._cmd.lchan.read_record(opts.RECORD_NR)
data = self._cmd.lchan.selected_file._decode_record_bin(h2b(hexdata),
decode_for_df = opts.decode_for_df)
data = self._cmd.lchan.selected_file.flatten(data)
self._cmd.poutput_json(data, opts.oneline)
@cmd2.with_argparser(LinFixedEF.ShellCommands.read_recs_dec_parser)
read_arrs_argparser = copy.deepcopy(LinFixedEF.ShellCommands.read_recs_dec_parser)
read_arrs_argparser.add_argument('--decode-for-df', action='store_true',
help='Decode EF.ARR records as if used by a DF (default: EF)')
@cmd2.with_argparser(read_arrs_argparser)
def do_read_arr_records(self, opts):
"""Read + decode all EF.ARR records in flattened, human-friendly form."""
num_of_rec = self._cmd.lchan.selected_file_num_of_rec()
# collect all results in list so they are rendered as JSON list when printing
data_list = []
for recnr in range(1, 1 + num_of_rec):
(data, _sw) = self._cmd.lchan.read_record_dec(recnr)
(hexdata, _sw) = self._cmd.lchan.read_record(recnr)
data = self._cmd.lchan.selected_file._decode_record_bin(h2b(hexdata),
decode_for_df = opts.decode_for_df)
data = self._cmd.lchan.selected_file.flatten(data)
data_list.append(data)
self._cmd.poutput_json(data_list, opts.oneline)