我使用以下代码临时修改环境变量。
@contextmanager
def _setenv(**mapping):
"""``with`` context to temporarily modify the environment variables"""
backup_values = {}
backup_remove = set()
for key, value in mapping.items():
if key in os.environ:
backup_values[key] = os.environ[key]
else:
backup_remove.add(key)
os.environ[key] = value
try:
yield
finally:
# restore old environment
for k, v in backup_values.items():
os.environ[k] = v
for k in backup_remove:
del os.environ[k]
此with
上下文主要用于测试用例。例如,
def test_myapp_respects_this_envvar():
with _setenv(MYAPP_PLUGINS_DIR='testsandbox/plugins'):
myapp.plugins.register()
[...]
我的问题:是否有一种简单/优雅的方式来编写_setenv
?我考虑过实际做backup = os.environ.copy()
然后os.environ = backup
..但我不确定这是否会影响程序行为(例如:如果os.environ
引用其他地方在Python解释器中)。
答案 0 :(得分:31)
我建议您执行以下操作:
import contextlib
import os
@contextlib.contextmanager
def set_env(**environ):
"""
Temporarily set the process environment variables.
>>> with set_env(PLUGINS_DIR=u'test/plugins'):
... "PLUGINS_DIR" in os.environ
True
>>> "PLUGINS_DIR" in os.environ
False
:type environ: dict[str, unicode]
:param environ: Environment variables to set
"""
old_environ = dict(os.environ)
os.environ.update(environ)
try:
yield
finally:
os.environ.clear()
os.environ.update(old_environ)
编辑:更高级的实施
下面的上下文管理器可用于添加/删除/更新您的环境变量:
import contextlib
import os
@contextlib.contextmanager
def modified_environ(*remove, **update):
"""
Temporarily updates the ``os.environ`` dictionary in-place.
The ``os.environ`` dictionary is updated in-place so that the modification
is sure to work in all situations.
:param remove: Environment variables to remove.
:param update: Dictionary of environment variables and values to add/update.
"""
env = os.environ
update = update or {}
remove = remove or []
# List of environment variables being updated or removed.
stomped = (set(update.keys()) | set(remove)) & set(env.keys())
# Environment variables and values to restore on exit.
update_after = {k: env[k] for k in stomped}
# Environment variables and values to remove on exit.
remove_after = frozenset(k for k in update if k not in env)
try:
env.update(update)
[env.pop(k, None) for k in remove]
yield
finally:
env.update(update_after)
[env.pop(k) for k in remove_after]
用法示例:
>>> with modified_environ('HOME', LD_LIBRARY_PATH='/my/path/to/lib'):
... home = os.environ.get('HOME')
... path = os.environ.get("LD_LIBRARY_PATH")
>>> home is None
True
>>> path
'/my/path/to/lib'
>>> home = os.environ.get('HOME')
>>> path = os.environ.get("LD_LIBRARY_PATH")
>>> home is None
False
>>> path is None
True
<强> EDIT2 强>
GitHub上提供了此上下文管理器的演示。
答案 1 :(得分:26)
_environ = dict(os.environ) # or os.environ.copy()
try:
...
finally:
os.environ.clear()
os.environ.update(_environ)
答案 2 :(得分:4)
我一直想做同样的事情,但是对于单元测试,这是我使用unittest.mock.patch
函数来完成的事情:
def test_function_with_different_env_variable():
with mock.patch.dict('os.environ', {'hello': 'world'}, clear=True):
self.assertEqual(os.environ.get('hello'), 'world')
self.assertEqual(len(os.environ), 1)
基本上将unittest.mock.patch.dict
与clear=True
结合使用,我们将os.environ
做成只包含{'hello': 'world'}
的字典。
删除clear=True
将使原始os.environ并在{'hello': 'world'}
内添加/替换指定的键/值对。
删除{'hello': 'world'}
只会创建一个空字典,因此os.envrion
在with
中将是空的。
答案 3 :(得分:2)
对于单元测试,我更喜欢使用带有可选参数的装饰器功能。这样我就可以将修改后的环境值用于整个测试功能。下面的装饰器还会恢复原始环境值,以防函数引发异常:
import os
def patch_environ(new_environ=None, clear_orig=False):
if not new_environ:
new_environ = dict()
def actual_decorator(func):
from functools import wraps
@wraps(func)
def wrapper(*args, **kwargs):
original_env = dict(os.environ)
if clear_orig:
os.environ.clear()
os.environ.update(new_environ)
try:
result = func(*args, **kwargs)
except:
raise
finally: # restore even if Exception was raised
os.environ = original_env
return result
return wrapper
return actual_decorator
单元测试中的用法:
class Something:
@staticmethod
def print_home():
home = os.environ.get('HOME', 'unknown')
print("HOME = {0}".format(home))
class SomethingTest(unittest.TestCase):
@patch_environ({'HOME': '/tmp/test'})
def test_environ_based_something(self):
Something.print_home() # prints: HOME = /tmp/test
unittest.main()
答案 4 :(得分:0)
在此处使用gist,您可以保存/恢复本地,全局范围变量和环境变量: https://gist.github.com/earonesty/ac0617a5672ae1a41be1eaf316dd63e4
echo $list_comments \
| awk -v k="text" '{n=split($0,a,","); for (l=1; l<=n; l++) print a[l]}' \
| awk '/'$FILTER_COMMENT'/ {print $0}' \
| cut -d ":" -f2 \
| sed -e 's/[\"]/''/g' \
| tr "\n" "\r" \
| awk '{echo "\"$1\""}' \
| tr -d "\n" >> app_comments.txt
输出:
import os
from varlib import vartemp, envtemp
x = 3
y = 4
with vartemp({'x':93,'y':94}):
print(x)
print(y)
print(x)
print(y)
with envtemp({'foo':'bar'}):
print(os.getenv('foo'))
print(os.getenv('foo'))
答案 5 :(得分:0)
在pytest
中,您可以使用monkeypatch
固定装置来临时设置环境变量。有关详情,请参见the docs。为了方便起见,我在此处复制了一个代码段。
import os
import pytest
from typing import Any, NewType
# Alias for the ``type`` of monkeypatch fixture.
MonkeyPatchFixture = NewType("MonkeyPatchFixture", Any)
# This is the function we will test below to demonstrate the ``monkeypatch`` fixture.
def get_lowercase_env_var(env_var_name: str) -> str:
"""
Return the value of an environment variable. Variable value is made all lowercase.
:param env_var_name:
The name of the environment variable to return.
:return:
The value of the environment variable, with all letters in lowercase.
"""
env_variable_value = os.environ[env_var_name]
lowercase_env_variable = env_variable_value.lower()
return lowercase_env_variable
def test_get_lowercase_env_var(monkeypatch: MonkeyPatchFixture) -> None:
"""
Test that the function under test indeed returns the lowercase-ified
form of ENV_VAR_UNDER_TEST.
"""
name_of_env_var_under_test = "ENV_VAR_UNDER_TEST"
env_var_value_under_test = "EnvVarValue"
expected_result = "envvarvalue"
# KeyError because``ENV_VAR_UNDER_TEST`` was looked up in the os.environ dictionary before its value was set by ``monkeypatch``.
with pytest.raises(KeyError):
assert get_lowercase_env_var(name_of_env_var_under_test) == expected_result
# Temporarily set the environment variable's value.
monkeypatch.setenv(name_of_env_var_under_test, env_var_value_under_test)
assert get_lowercase_env_var(name_of_env_var_under_test) == expected_result
def test_get_lowercase_env_var_fails(monkeypatch: MonkeyPatchFixture) -> None:
"""
This demonstrates that ENV_VAR_UNDER_TEST is reset in every test function.
"""
env_var_name_under_test = "ENV_VAR_UNDER_TEST"
expected_result = "envvarvalue"
with pytest.raises(KeyError):
assert get_lowercase_env_var(env_var_name_under_test) == expected_result