def addSampleLogEntry(log_name, ws, start_time, extra_time_shift):
number_of_times = 10
for i in range(0, number_of_times):
val = random.randrange(0, 10, 1)
date = DateAndTime(start_time)
date += int(i*1e9)
date += int(extra_time_shift*1e9)
AddTimeSeriesLog(ws, Name=log_name, Time=date.__str__().strip(), Value=val)
def addSampleLogEntry(self, log_name, ws, start_time, extra_time_shift):
number_of_times = 10
for i in range(0, number_of_times):
val = random.randrange(0, 10, 1)
date = DateAndTime(start_time)
date += int(i*1e9)
date += int(extra_time_shift*1e9)
AddTimeSeriesLog(ws, Name=log_name, Time=date.__str__().strip(), Value=val)
def add_log(ws, number_of_times, log_name, start_time):
alg_log = AlgorithmManager.create("AddTimeSeriesLog")
alg_log.initialize()
alg_log.setChild(True)
alg_log.setProperty("Workspace", ws)
alg_log.setProperty("Name", log_name)
# Add the data
if log_name == "good_frames":
convert_to_type = int
else:
convert_to_type = float
for i in range(0, number_of_times):
date = DateAndTime(start_time)
date += int(i*1e9) # Add nanoseconds
alg_log.setProperty("Time", date.__str__().strip())
alg_log.setProperty("Value", convert_to_type(i))
alg_log.execute()
return alg_log.getProperty("Workspace").value
def add_log(ws, number_of_times, log_name, start_time):
alg_log = AlgorithmManager.create("AddTimeSeriesLog")
alg_log.initialize()
alg_log.setChild(True)
alg_log.setProperty("Workspace", ws)
alg_log.setProperty("Name", log_name)
# Add the data
if log_name == "good_frames":
convert_to_type = int
else:
convert_to_type = float
for i in range(0, number_of_times):
date = DateAndTime(start_time)
date += int(i * 1e9) # Add nanoseconds
alg_log.setProperty("Time", date.__str__().strip())
alg_log.setProperty("Value", convert_to_type(i))
alg_log.execute()
return alg_log.getProperty("Workspace").value
