[test] added rerun on exception for testing (#475)

* [test] added rerun on exception function

* polish code
pull/482/head
Frank Lee 2022-03-21 15:51:57 +08:00 committed by GitHub
parent d70f43dd7a
commit 83a847d058
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2 changed files with 107 additions and 27 deletions

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@ -1,4 +1,7 @@
from .comparison import assert_equal, assert_not_equal, assert_close, assert_close_loose, assert_equal_in_group
from .utils import parameterize
from .utils import parameterize, rerun_on_exception
__all__ = ['assert_equal', 'assert_not_equal', 'assert_close', 'assert_close_loose', 'assert_equal_in_group', 'parameterize']
__all__ = [
'assert_equal', 'assert_not_equal', 'assert_close', 'assert_close_loose', 'assert_equal_in_group', 'parameterize',
'rerun_on_exception'
]

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@ -1,8 +1,9 @@
from typing import List, Any
import re
from typing import Callable, List, Any
from functools import partial
def parameterize(argument: str, values: List[Any]):
def parameterize(argument: str, values: List[Any]) -> Callable:
"""
This function is to simulate the same behavior as pytest.mark.parameterize. As
we want to avoid the number of distributed network initialization, we need to have
@ -11,42 +12,118 @@ def parameterize(argument: str, values: List[Any]):
If a function is wrapped with this wrapper, non-paramterized arguments must be keyword arguments,
positioanl arguments are not allowed.
Example 1:
Usgae::
@parameterize('person', ['xavier', 'davis'])
def say_something(person, msg):
print(f'{person}: {msg}')
# Example 1:
@parameterize('person', ['xavier', 'davis'])
def say_something(person, msg):
print(f'{person}: {msg}')
say_something(msg='hello')
say_something(msg='hello')
This will generate output:
> xavier: hello
> davis: hello
# This will generate output:
# > xavier: hello
# > davis: hello
# Exampel 2:
@parameterize('person', ['xavier', 'davis'])
@parameterize('msg', ['hello', 'bye', 'stop'])
def say_something(person, msg):
print(f'{person}: {msg}')
Exampel 2:
say_something()
@parameterize('person', ['xavier', 'davis'])
@parameterize('msg', ['hello', 'bye', 'stop'])
def say_something(person, msg):
print(f'{person}: {msg}')
say_something()
This will generate output:
> xavier: hello
> xavier: bye
> xavier: stop
> davis: hello
> davis: bye
> davis: stop
# This will generate output:
# > xavier: hello
# > xavier: bye
# > xavier: stop
# > davis: hello
# > davis: bye
# > davis: stop
Args:
argument (str): the name of the argument to parameterize
values (List[Any]): a list of values to iterate for this argument
"""
def _wrapper(func):
def _execute_function_by_param(**kwargs):
for val in values:
arg_map = {argument: val}
partial_func = partial(func, **arg_map)
partial_func(**kwargs)
return _execute_function_by_param
return _wrapper
def rerun_on_exception(exception_type: Exception = Exception, pattern: str = None, max_try: int = 5) -> Callable:
"""
A decorator on a function to re-run when an exception occurs.
Usage::
# rerun for all kinds of exception
@rerun_on_exception()
def test_method():
print('hey')
raise RuntimeError('Address already in use')
# rerun for RuntimeError only
@rerun_on_exception(exception_type=RuntimeError)
def test_method():
print('hey')
raise RuntimeError('Address already in use')
# rerun for maximum 10 times if Runtime error occurs
@rerun_on_exception(exception_type=RuntimeError, max_try=10)
def test_method():
print('hey')
raise RuntimeError('Address already in use')
# rerun for infinite times if Runtime error occurs
@rerun_on_exception(exception_type=RuntimeError, max_try=None)
def test_method():
print('hey')
raise RuntimeError('Address already in use')
# rerun only the exception message is matched with pattern
# for infinite times if Runtime error occurs
@rerun_on_exception(exception_type=RuntimeError, pattern="^Address.*$")
def test_method():
print('hey')
raise RuntimeError('Address already in use')
Args:
exception_type (Exception, Optional): The type of exception to detect for rerun
pattern (str, Optional): The pattern to match the exception message.
If the pattern is not None and matches the exception message,
the exception will be detected for rerun
max_try (int, Optional): Maximum reruns for this function. The default value is 5.
If max_try is None, it will rerun foreven if exception keeps occurings
"""
def _wrapper(func):
def _run_until_success(*args, **kwargs):
try_count = 0
assert max_try is None or isinstance(max_try, int), \
f'Expected max_try to be None or int, but got {type(max_try)}'
while max_try is None or try_count < max_try:
try:
try_count += 1
func(*args, **kwargs)
except exception_type as e:
if pattern is None or re.match(pattern, str(e)):
# when pattern is not specified, we always skip the exception
# when pattern is specified, we only skip when pattern is matched
continue
else:
raise e
return _run_until_success
return _wrapper