def create_result(self):
'''创建result_list
'''
key_dic = {}
sum_dic = {}
file = os.path.join(self.resultsdir, "bonnie.out")
lptlog.debug("读取 %s 文件" % file)
if not os.path.isfile(file):
raise IOError, "open %s Error" % file
else:
results_lines = lutils.read_all_lines(file)
labels = ["name","file_size","putc","putc_cpu","put_block","put_block_cpu","rewrite","rewrite_cpu",
"getc","getc_cpu","get_block","get_block_cpu","seeks","seeks_cpu","num_files","seq_create",
"seq_create_cpu","seq_stat","seq_stat_cpu","seq_del","seq_del_cpu","ran_create","ran_create_cpu",
"ran_stat","ran_stat_cpu","ran_del","ran_del_cpu" ]
keys = labels
keys.pop(0)
keys.pop(0)
keys.pop(12)
keys = tuple(keys)
iter=0
for line in results_lines:
fields = line.split(',')
if len(fields) != 27:
continue
if fields[0] == "name":
continue
else:
iter += 1
lptlog.debug("line.split==27: %s" % line)
#attrib_dic = {'iter':str(iter), 'times':str(self.times), 'parallel':'1', 'parallels':'1' ,
#"name":fields[0], "filesize":fields[1], "num_files":fields[14]}
attrib_dic = self.create_result_node_attrib(iter, self.times, 1, [1])
#remove 多余项
fields.pop(0)
fields.pop(0)
fields.pop(12)
fields = tuple([lutils.change_type(i) for i in fields])
for l, v in zip(keys, fields):
key_dic[l] = "%d" % v
if not sum_dic:
sum_dic = key_dic.copy()
else:
sum_dic = method.append_sum_dict(sum_dic, key_dic)
self.result_list.append([attrib_dic, key_dic])
if sum_dic:
parallel_average_dic = method.append_average_dict(sum_dic, self.times)
lptlog.debug("1 并行求平均值:PASS" )
sum_attrib_dic = self.create_result_node_attrib("Average", self.times, 1, [1])
self.result_list.append([sum_attrib_dic, parallel_average_dic])
def create_result(self):
#method.check_none(self.parallels, self.times)
labels = ("Copy", 'Scale', 'Add', 'Triad')
for parallel in self.parallels:
sum_dic = {}
for iter in range(self.times):
iter_dic = {}
#tmp_result_file = os.path.join(self.tmp_dir, "stream_%d_%d.out" %(parallel, iter+1))
tmp_result_file = os.path.join(self.resultsdir, "stream_%d_%d.out" %(parallel, iter+1))
if not os.path.isfile(tmp_result_file):
lptlog.warning("测试数据 %s 不存在" % tmp_result_file)
continue
result_tuple = self.__search_result(tmp_result_file)
for key, value in zip(labels, result_tuple):
iter_dic[key] = "%.4f" %value
if sum_dic:
sum_dic = method.append_sum_dict(sum_dic, iter_dic)
else:
sum_dic = iter_dic.copy()
self.result_list.append([self.create_result_node_attrib(iter+1, self.times, parallel, self.parallels), iter_dic])
if sum_dic:
average_dic = method.append_average_dict(sum_dic, self.times)
self.result_list.append([self.create_result_node_attrib("Average", self.times, parallel, self.parallels), average_dic])
def create_result(self):
#method.check_none(self.parallels, self.times)
labels = ("Copy", 'Scale', 'Add', 'Triad')
for parallel in self.parallels:
sum_dic = {}
for iter in range(self.times):
iter_dic = {}
#tmp_result_file = os.path.join(self.tmp_dir, "stream_%d_%d.out" %(parallel, iter+1))
tmp_result_file = os.path.join(
self.resultsdir, "stream_%d_%d.out" % (parallel, iter + 1))
if not os.path.isfile(tmp_result_file):
lptlog.warning("测试数据 %s 不存在" % tmp_result_file)
continue
result_tuple = self.__search_result(tmp_result_file)
for key, value in zip(labels, result_tuple):
iter_dic[key] = "%.4f" % value
if sum_dic:
sum_dic = method.append_sum_dict(sum_dic, iter_dic)
else:
sum_dic = iter_dic.copy()
self.result_list.append([
self.create_result_node_attrib(iter + 1, self.times,
parallel, self.parallels),
iter_dic
])
if sum_dic:
average_dic = method.append_average_dict(sum_dic, self.times)
self.result_list.append([
self.create_result_node_attrib("Average", self.times,
parallel, self.parallels),
average_dic
])
def create_result(self):
'''Create Results
'''
for parallel in self.parallels:
sum_dic = {}
for iter in range(self.times):
iozone_parallel_list = []
iozone_temp_file = os.path.join(
self.resultsdir,
"iozone_%s_%d_%d.out" % (self.testmode, parallel,
(iter + 1)))
iozone_dic = self.__match_index(iozone_temp_file)
if not sum_dic:
sum_dic = iozone_dic.copy()
else:
sum_dic = method.append_sum_dict(sum_dic, iozone_dic)
iozone_attrib = self.create_result_node_attrib(
iter + 1, self.times, parallel, self.parallels)
self.result_list.append([iozone_attrib, iozone_dic])
if sum_dic:
parallel_average_dic = method.append_average_dict(
sum_dic, self.times)
self.result_list.append([
self.create_result_node_attrib("Average", self.times,
parallel, self.parallels),
parallel_average_dic
])
def create_result(self):
'''Create Results
'''
for parallel in self.parallels:
sum_dic = {}
for iter in range(self.times):
iozone_parallel_list = []
iozone_temp_file = os.path.join(self.resultsdir, "iozone_%s_%d_%d.out" % (self.testmode, parallel, (iter+1)))
iozone_dic = self.__match_index(iozone_temp_file)
if not sum_dic:
sum_dic = iozone_dic.copy()
else:
sum_dic = method.append_sum_dict(sum_dic, iozone_dic)
iozone_attrib = self.create_result_node_attrib(iter+1, self.times, parallel, self.parallels)
self.result_list.append([iozone_attrib, iozone_dic])
if sum_dic:
parallel_average_dic = method.append_average_dict(sum_dic, self.times)
self.result_list.append([self.create_result_node_attrib("Average", self.times, parallel, self.parallels), parallel_average_dic])
def create_result(self):
'''创建result_list
'''
#labels = ("Throughtput", "clients", "max_latency")
labels = ("Throughtput", "max_latency")
parallelstring = ",".join(map(str, self.parallels))
r = re.compile(r"Throughput\s+(\d+.\d+)\s+MB/sec\s+(\d+)\s+clients\s+\d+\s+procs\s+max_latency=(\d+.\d+)\s", re.I)
for parallel in self.parallels:
sum_dic = {}
for iter in range(self.times):
tmp_result_file = os.path.join(self.resultsdir, "%s_%s_%s.out" % (self.tool, parallel, iter+1))
if not os.path.isfile(tmp_result_file):
lptlog.warning("%s 不存在" % tmp_result_file)
continue
result_lines = lutils.read_all_lines(tmp_result_file)
for line in result_lines:
key_dic = {}
if r.match(line):
m = r.match(line)
#result_list = [m.group(1), m.group(2), m.group(3)]
result_list = [m.group(1), m.group(3)]
result_tuple = tuple([lutils.change_type(i)for i in result_list])
for l, v in zip(labels, result_tuple):
key_dic[l] = "%d" % v
if not sum_dic:
sum_dic = key_dic.copy()
else:
sum_dic = method.append_sum_dict(sum_dic, key_dic)
self.result_list.append([self.create_result_node_attrib(iter+1, self.times, parallel, self.parallels), key_dic])
if sum_dic:
parallel_average_dic = method.append_average_dict(sum_dic, self.times)
lptlog.debug("%d 并行求平均值:PASS" % parallel)
self.result_list.append([self.create_result_node_attrib("Average", self.times, parallel, self.parallels), parallel_average_dic])
def create_result(self):
'''创建result_list
'''
key_dic = {}
sum_dic = {}
file = os.path.join(self.resultsdir, "bonnie.out")
lptlog.debug("读取 %s 文件" % file)
if not os.path.isfile(file):
raise IOError("open %s Error" % file)
else:
results_lines = lutils.read_all_lines(file)
labels = [
"name", "file_size", "putc", "putc_cpu", "put_block",
"put_block_cpu", "rewrite", "rewrite_cpu", "getc", "getc_cpu",
"get_block", "get_block_cpu", "seeks", "seeks_cpu", "num_files",
"seq_create", "seq_create_cpu", "seq_stat", "seq_stat_cpu",
"seq_del", "seq_del_cpu", "ran_create", "ran_create_cpu",
"ran_stat", "ran_stat_cpu", "ran_del", "ran_del_cpu"
]
keys = labels
keys.pop(0)
keys.pop(0)
keys.pop(12)
keys = tuple(keys)
iter = 0
for line in results_lines:
fields = line.split(',')
if len(fields) != 27:
continue
if fields[0] == "name":
continue
else:
iter += 1
lptlog.debug("line.split==27: %s" % line)
#attrib_dic = {'iter':str(iter), 'times':str(self.times), 'parallel':'1', 'parallels':'1' ,
#"name":fields[0], "filesize":fields[1], "num_files":fields[14]}
attrib_dic = self.create_result_node_attrib(
iter, self.times, 1, [1])
#remove 多余项
fields.pop(0)
fields.pop(0)
fields.pop(12)
fields = tuple([lutils.change_type(i) for i in fields])
for l, v in zip(keys, fields):
key_dic[l] = "%d" % v
if not sum_dic:
sum_dic = key_dic.copy()
else:
sum_dic = method.append_sum_dict(sum_dic, key_dic)
self.result_list.append([attrib_dic, key_dic])
if sum_dic:
parallel_average_dic = method.append_average_dict(
sum_dic, self.times)
lptlog.debug("1 并行求平均值:PASS")
sum_attrib_dic = self.create_result_node_attrib(
"Average", self.times, 1, [1])
self.result_list.append([sum_attrib_dic, parallel_average_dic])
