add test_configurable_parameters.py

Add ConfigurableParameterTest, which applies each parameter to a real
UPP DER template and reads it back, comparing results against a stored
expected-output snapshot (xo/test_configurable_parameters).

Add TestValidateVal covering validate_val() for Iccid, Imsi, Pin1, Puk1
and K, testing both valid inputs and invalid ones expected to raise
ValueError.

Add TestEnumParam covering the EnumParam methods (validate_val,
map_name_to_val, map_val_to_name, name_normalize, clean_name_str) using
AlgorithmID as the concrete subclass, including fuzzy name matching.

Also add get_value_from_pes() to ConfigurableParameter as a convenience
wrapper around get_values_from_pes() that asserts all returned values
are identical and returns the single result.

Change-Id: Ia55f0d11f8197ca15a948a83a34b3488acf1a0b4
Co-authored-by: Vadim Yanitskiy <vyanitskiy@sysmocom.de>
Jenkins: skip-card-test
This commit is contained in:
Neels Hofmeyr
2025-08-03 23:26:23 +02:00
committed by Vadim Yanitskiy
parent a7c762eb2e
commit 3974e96933
4 changed files with 801 additions and 0 deletions
+20
View File
@@ -208,6 +208,26 @@ class ConfigurableParameter(abc.ABC, metaclass=ClassVarMeta):
Write the given val in the right format in all the right places in pes."""
pass
@classmethod
def get_value_from_pes(cls, pes: ProfileElementSequence):
"""Same as get_values_from_pes() but expecting a single value.
get_values_from_pes() may return values like this:
[{ 'AlgorithmID': 'Milenage' }, { 'AlgorithmID': 'Milenage' }]
This ensures that all these entries are identical and would return only
{ 'AlgorithmID': 'Milenage' }.
This is relevant for any profile element that may appear multiple times in the same PES (only a few),
where each occurrence should reflect the same value (all currently known parameters).
"""
val = None
for v in cls.get_values_from_pes(pes):
if val is None:
val = v
elif val != v:
raise ValueError(f'get_value_from_pes(): got distinct values: {val!r} != {v!r}')
return val
@classmethod
@abc.abstractmethod
def get_values_from_pes(cls, pes: ProfileElementSequence) -> Generator: