def process():
"""
Process the files in the queue directory.
"""
config = ConfigParser()
config.read(['../project_config'])
for filename in os.listdir(config.get("locations", "queue")) :
parser_obj = Parser(os.path.join(config.get("locations", "queue"), filename))
parser_obj.run()
def main():
# TODO : implement getopt style arguments
if len(sys.argv) == 2 :
filename = sys.argv[1]
else :
print "Usage: python parser.py <relative-path-to-file>"
sys.exit(1)
parser_obj = Parser(filename)
parser_obj.run()
def process():
"""
Process the files in the queue directory.
"""
config = ConfigParser()
config.read(['../project_config'])
for filename in os.listdir(config.get("locations", "queue")):
parser_obj = Parser(
os.path.join(config.get("locations", "queue"), filename))
parser_obj.run()
def main():
# TODO : implement getopt style arguments
if len(sys.argv) == 2:
filename = sys.argv[1]
else:
print "Usage: python parser.py <relative-path-to-file>"
sys.exit(1)
parser_obj = Parser(filename)
parser_obj.run()
def show_result(request, filename):
#TODO: Check for the case when a duplicate file is submitted, with a pre-existing Md5 sum
"""
"""
# Parse the file
if not Md5Log.objects.filter(file_name=filename + '.log'):
file = settings.MEDIA_ROOT + 'benchmarkLogs/' + filename + '.log'
parser_obj = Parser(file)
parser_obj.run()
flush_transaction()
#transaction.enter_transaction_management()
#transaction.
time.sleep(3)
while not Md5Log.objects.filter(file_name=filename + '.log'):
flush_transaction()
print Md5Log.objects.filter(file_name=filename + '.log')
flush_transaction()
continue
data_dict = {}
#Query the database for Benchmark data from benchmark_logs table
file_obj = Md5Log.objects.filter(file_name=filename + '.log')[0]
data_dict['BRLCAD_Version'] = file_obj.benchmark.brlcad_version
data_dict['Running_Time'] = file_obj.benchmark.running_time
data_dict['Time_of_Execution'] = file_obj.benchmark.time_of_execution
data_dict['VGR_Rating'] = file_obj.benchmark.approx_vgr
data_dict['Log_VGR'] = file_obj.benchmark.log_vgr
data_dict['Parameters'] = file_obj.benchmark.params
#Query the database for System Information from machine_info table
data_dict['Clock_Speed'] = file_obj.benchmark.machineinfo.cpu_mhz
data_dict['NCores'] = file_obj.benchmark.machineinfo.cores
data_dict['NProcessors'] = file_obj.benchmark.machineinfo.processors
data_dict['Vendor_ID'] = file_obj.benchmark.machineinfo.vendor_id
data_dict['OS_Type'] = file_obj.benchmark.machineinfo.ostype
data_dict[
'Processor_Model_Name'] = file_obj.benchmark.machineinfo.model_name
#Query the database for individual Image Performance
data_dict['Rt_Average'] = file_obj.benchmark.rtaverage_set.all()[0].abs_rps
data_dict['Rt_Bldg391'] = file_obj.benchmark.rtbldg391_set.all()[0].abs_rps
data_dict['Rt_M35'] = file_obj.benchmark.rtm35_set.all()[0].abs_rps
data_dict['Rt_Moss'] = file_obj.benchmark.rtmoss_set.all()[0].abs_rps
data_dict['Rt_Sphlake'] = file_obj.benchmark.rtbldg391_set.all()[0].abs_rps
data_dict['Rt_Star'] = file_obj.benchmark.rtstar_set.all()[0].abs_rps
data_dict['Rt_World'] = file_obj.benchmark.rtworld_set.all()[0].abs_rps
data_dict['filename'] = filename
return render_to_response('result.html',
data_dict,
context_instance=RequestContext(request))
def show_result(request, filename):
#TODO: Check for the case when a duplicate file is submitted, with a pre-existing Md5 sum
"""
"""
# Parse the file
if not Md5Log.objects.filter(file_name=filename+'.log'):
file = settings.MEDIA_ROOT + 'benchmarkLogs/' + filename + '.log'
parser_obj = Parser(file)
parser_obj.run()
flush_transaction()
#transaction.enter_transaction_management()
#transaction.
time.sleep(3)
while not Md5Log.objects.filter(file_name=filename+'.log'):
flush_transaction()
print Md5Log.objects.filter(file_name=filename+'.log')
flush_transaction()
continue
data_dict = {
}
#Query the database for Benchmark data from benchmark_logs table
file_obj = Md5Log.objects.filter(file_name=filename+'.log')[0]
data_dict['BRLCAD_Version'] = file_obj.benchmark.brlcad_version
data_dict['Running_Time'] = file_obj.benchmark.running_time
data_dict['Time_of_Execution'] = file_obj.benchmark.time_of_execution
data_dict['VGR_Rating'] = file_obj.benchmark.approx_vgr
data_dict['Log_VGR'] = file_obj.benchmark.log_vgr
data_dict['Parameters'] = file_obj.benchmark.params
#Query the database for System Information from machine_info table
data_dict['Clock_Speed'] = file_obj.benchmark.machineinfo.cpu_mhz
data_dict['NCores'] = file_obj.benchmark.machineinfo.cores
data_dict['NProcessors'] = file_obj.benchmark.machineinfo.processors
data_dict['Vendor_ID'] = file_obj.benchmark.machineinfo.vendor_id
data_dict['OS_Type'] = file_obj.benchmark.machineinfo.ostype
data_dict['Processor_Model_Name'] = file_obj.benchmark.machineinfo.model_name
#Query the database for individual Image Performance
data_dict['Rt_Average'] = file_obj.benchmark.rtaverage_set.all()[0].abs_rps
data_dict['Rt_Bldg391'] = file_obj.benchmark.rtbldg391_set.all()[0].abs_rps
data_dict['Rt_M35'] = file_obj.benchmark.rtm35_set.all()[0].abs_rps
data_dict['Rt_Moss'] = file_obj.benchmark.rtmoss_set.all()[0].abs_rps
data_dict['Rt_Sphlake'] = file_obj.benchmark.rtbldg391_set.all()[0].abs_rps
data_dict['Rt_Star'] = file_obj.benchmark.rtstar_set.all()[0].abs_rps
data_dict['Rt_World'] = file_obj.benchmark.rtworld_set.all()[0].abs_rps
data_dict['filename'] = filename
return render_to_response('result.html', data_dict, context_instance=RequestContext(request))
