def _get_reader(self):
with open(self.data_file) as fhd:
header = fhd.readline(2048).strip() # just header chunk of file
# TODO: detect CSV dialect for JTLs
if header.startswith(self.AB_HEADER):
reader = TSVDataReader(self.data_file, self.log)
reader.url_label = "N/A"
return reader
elif header.startswith("<?xml"):
return XMLJTLReader(self.data_file, self.log)
elif self.PBENCH_FORMAT.match(header):
return PBenchKPIReader(self.data_file, self.log, self.errors_file)
elif header.startswith("RUN\t") or "\tRUN\t" in header:
return GatlingLogReader(self.data_file, self.log, None)
elif "timestamp" in header.lower() and "elapsed" in header.lower():
return JTLReader(self.data_file, self.log, self.errors_file)
elif "worker process" in header.lower() and header.startswith(
"worker."):
return GrinderLogReader(self.data_file, self.log)
else:
self.log.info("Header line was: %s", header)
raise TaurusInternalException(
"Unable to detect results format for: %s" % self.data_file)
def test_read(self):
log_path = os.path.abspath(RESOURCES_DIR + "ab/ab.tsv")
obj = TSVDataReader(log_path, ROOT_LOGGER)
list_of_values = list(obj.datapoints(True))
self.assertEqual(len(list_of_values), 3)
for values in list_of_values:
self.assertTrue(1400000000 < values['ts'] < 1500000000)
def test_read(self):
log_path = path.join(get_res_path('ab.tsv'))
obj = TSVDataReader(log_path, logging.getLogger(''))
list_of_values = list(obj.datapoints(True))
self.assertEqual(len(list_of_values), 3)
for values in list_of_values:
self.assertTrue(1400000000 < values['ts'] < 1500000000)
self.assertEqual(len(values), 5)
def test_read(self):
log_path = path.join(get_res_path('ab.tsv'))
obj = TSVDataReader(log_path, logging.getLogger(''))
list_of_values = list(obj.datapoints(True))
self.assertEqual(len(list_of_values), 3)
for values in list_of_values:
self.assertTrue(1400000000 < values['ts'] < 1500000000)
self.assertEqual(len(values), 5)
def test_read(self):
log_path = os.path.abspath(RESOURCES_DIR + "ab/ab.tsv")
obj = TSVDataReader(log_path, logging.getLogger(""))
list_of_values = list(obj.datapoints(True))
self.assertEqual(len(list_of_values), 3)
for values in list_of_values:
self.assertTrue(1400000000 < values['ts'] < 1500000000)
self.assertEqual(len(values), 5)
def _get_reader(self):
with open(self.data_file) as fhd:
header = fhd.readline(2048).strip() # just header chunk of file
if header.startswith(self.AB_HEADER):
reader = TSVDataReader(self.data_file, self.log)
reader.url_label = "N/A"
return reader
elif header.startswith("<?xml"):
return XMLJTLReader(self.data_file, self.log)
elif header.startswith("RUN\t") or "\tRUN\t" in header:
return GatlingLogReader(self.data_file, self.log, None)
elif "timestamp" in header.lower() and "elapsed" in header.lower():
return JTLReader(self.data_file, self.log, self.errors_file)
elif re.match("^[0-9]{19},", header):
# Vegeta CSV does not have a header, every line starts with a timestamp in nanoseconds
return VegetaLogReader(self.data_file, self.log)
else:
self.log.info("Header line was: %s", header)
raise TaurusInternalException("Unable to detect results format for: %s" % self.data_file)
def _get_reader(self):
with open(self.data_file) as fhd:
header = fhd.readline(2048).strip() # just header chunk of file
# TODO: detect CSV dialect for JTLs
if header.startswith(self.AB_HEADER):
reader = TSVDataReader(self.data_file, self.log)
reader.url_label = "N/A"
return reader
elif header.startswith("<?xml"):
return XMLJTLReader(self.data_file, self.log)
elif self.PBENCH_FORMAT.match(header):
return PBenchKPIReader(self.data_file, self.log, self.errors_file)
elif header.startswith("RUN\t") or "\tRUN\t" in header:
return GatlingLogReader(self.data_file, self.log, None)
elif "timestamp" in header.lower() and "elapsed" in header.lower():
return JTLReader(self.data_file, self.log, self.errors_file)
elif "worker process" in header.lower() and header.startswith("worker."):
return GrinderLogReader(self.data_file, self.log)
else:
self.log.info("Header line was: %s", header)
raise TaurusInternalException("Unable to detect results format for: %s" % self.data_file)