def _build_parsed_values(self):
"""
@throws SampleException If there is a problem with sample creation
"""
if self._parameters is None or self._streams is None:
self._load_streams()
if self.raw_data not in self._streams:
raise SampleException('Unknown stream %r' % self.raw_data)
self._data_particle_type = self.raw_data
parameters = self._streams.get(self.raw_data, [])
values = []
for param in parameters:
if param in self._ignore:
continue
p = self._parameters.get(param)
if p.parameter_type == 'function':
continue
log.trace('Generating random data for param: %s name: %s', param,
p.name)
val = None
if p.value_encoding in ['str', 'string']:
val = self.random_string(20)
elif p.value_encoding == 'int8':
val = random.choice(self.INT8_RANDOM)
elif p.value_encoding == 'int16':
val = random.choice(self.INT16_RANDOM)
elif p.value_encoding == 'int32':
val = random.choice(self.INT32_RANDOM)
elif p.value_encoding == 'int64':
val = random.choice(self.INT64_RANDOM)
elif p.value_encoding == 'uint8':
val = random.choice(self.UINT8_RANDOM)
elif p.value_encoding == 'uint16':
val = random.choice(self.UINT16_RANDOM)
elif p.value_encoding == 'uint32':
val = random.choice(self.UINT32_RANDOM)
elif p.value_encoding == 'uint64':
val = random.choice(self.UINT64_RANDOM)
elif p.value_encoding in ['float32', 'float64']:
val = random.choice(self.FLOAT_RANDOM)
else:
log.debug('Unhandled parameter value encoding: %s', p)
if val is not None:
if 'array' in p.parameter_type and p.value_encoding not in [
'str', 'string'
]:
val = [val] * 2
values.append({'value_id': p.name, 'value': val})
return values
def _build_parsed_values(self):
"""
@throws SampleException If there is a problem with sample creation
"""
if self._parameters is None or self._streams is None:
self._load_streams()
if self.raw_data not in self._streams:
raise SampleException("Unknown stream %r" % self.raw_data)
self._data_particle_type = self.raw_data
parameters = self._streams.get(self.raw_data, [])
values = []
for param in parameters:
if param in self._ignore:
continue
p = self._parameters.get(param)
if p.parameter_type == "function":
continue
log.trace("Generating random data for param: %s name: %s", param, p.name)
val = None
if p.value_encoding in ["str", "string"]:
val = self.random_string(20)
elif p.value_encoding == "int8":
val = random.choice(self.INT8_RANDOM)
elif p.value_encoding == "int16":
val = random.choice(self.INT16_RANDOM)
elif p.value_encoding == "int32":
val = random.choice(self.INT32_RANDOM)
elif p.value_encoding == "int64":
val = random.choice(self.INT64_RANDOM)
elif p.value_encoding == "uint8":
val = random.choice(self.UINT8_RANDOM)
elif p.value_encoding == "uint16":
val = random.choice(self.UINT16_RANDOM)
elif p.value_encoding == "uint32":
val = random.choice(self.UINT32_RANDOM)
elif p.value_encoding == "uint64":
val = random.choice(self.UINT64_RANDOM)
elif p.value_encoding in ["float32", "float64"]:
val = random.choice(self.FLOAT_RANDOM)
else:
log.debug("Unhandled parameter value encoding: %s", p)
if val is not None:
if "array" in p.parameter_type and p.value_encoding not in ["str", "string"]:
val = [val] * 2
values.append({"value_id": p.name, "value": val})
return values
def my_sieve(raw_data):
return_list = []
log.debug('SIEVE: pattern=%r, raw_data_len=%d', matcher.pattern, len(raw_data))
# do not descend into this loop unless we are at log level trace...
if log.isEnabledFor('trace'):
temp = raw_data[:]
while temp:
log.trace('SIEVE: raw_data: %s', temp[:32].encode('hex'))
if len(temp) > 32:
temp = temp[32:]
else:
temp = ''
for match in matcher.finditer(raw_data):
# if sentinel value present in this slice it is invalid
if not SCAN_START_SENTINEL in raw_data[match.start():match.end()]:
return_list.append((match.start(), match.end()))
return return_list