milvus/tests/python_client/utils/wrapper.py
ThreadDao 8945b80a64
[test][skip-e2e] Add counter decorater and scale query multi replicas test (#16845)
Signed-off-by: ThreadDao <yufen.zong@zilliz.com>
2022-05-09 14:51:52 +08:00

71 lines
2.2 KiB
Python

import time
from datetime import datetime
import functools
from utils.util_log import test_log as log
DEFAULT_FMT = '[{start_time}][{end_time}][{elapsed:0.8f}s] {collection_name} {func_name} ({arg_str}) -> {result!r}'
def trace(fmt=DEFAULT_FMT, prefix='test', flag=True):
def decorate(func):
@functools.wraps(func)
def inner_wrapper(*args, **kwargs):
# args[0] is an instance of ApiCollectionWrapper class
flag = args[0].active_trace
if flag:
start_time = datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%SZ')
t0 = time.perf_counter()
result = func(*args, **kwargs)
elapsed = time.perf_counter() - t0
end_time = datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%SZ')
func_name = func.__name__
collection_name = args[0].collection.name
arg_lst = [repr(arg) for arg in args[1:]][:100]
arg_lst.extend(f'{k}={v!r}' for k, v in kwargs.items())
arg_str = ', '.join(arg_lst)[:200]
log_str = f"[{prefix}]" + fmt.format(**locals())
# TODO: add report function in this place, like uploading to influxdb
# it is better a async way to do this, in case of blocking the request processing
log.info(log_str)
return result
else:
result = func(*args, **kwargs)
return result
return inner_wrapper
return decorate
def counter(func):
""" count func succ rate """
def inner_wrapper(*args, **kwargs):
""" inner wrapper """
result, is_succ = func(*args, **kwargs)
inner_wrapper.total += 1
if is_succ:
inner_wrapper.succ += 1
else:
inner_wrapper.fail += 1
return result, is_succ
inner_wrapper.name = func.__name__
inner_wrapper.total = 0
inner_wrapper.succ = 0
inner_wrapper.fail = 0
return inner_wrapper
if __name__ == '__main__':
@trace()
def snooze(seconds, name='snooze'):
time.sleep(seconds)
return name
# print(f"name: {name}")
for i in range(3):
res = snooze(.123, name=i)
print("res:", res)