Installing and Using Python Keyring Lib
Table of Contents
- What is Python keyring lib?
- Installation Instructions
- Using Keyring
- Configure your keyring lib
- Integrate the keyring lib with your application
- Get involved
The Python keyring lib provides a easy way to access the system keyring service from python. It can be used in any application that needs safe password storage.
The keyring library is licensed under both the MIT license and the PSF license.
These primary keyring services are supported by the Python keyring lib:
- Mac OS X Keychain
- Linux Secret Service
- Windows Credential Vault
Other keyring implementations are provided as well. For more detail, browse the source.
Run easy_install or pip:
$ easy_install keyring $ pip install keyring
The basic usage of keyring is pretty simple: just call keyring.set_password and keyring.get_password:
>>> import keyring >>> keyring.set_password("system", "username", "password") >>> keyring.get_password("system", "username") 'password'
The python keyring lib contains implementations for several backends. The library will automatically choose the keyring that is most suitable for your current environment. You can also specify the keyring you like to be used in the config file or by calling the set_keyring() function.
This section describes how to change your option in the config file.
The configuration of the lib is stored in a file named "keyringrc.cfg". This file must be found in a platform-specific location. To determine where the config file is stored, run the following:
python -c "import keyring.util.platform_; print(keyring.util.platform_.config_root())"
Some keyrings also store the keyring data in the file system. To determine where the data files are stored, run this command:
python -c "import keyring.util.platform_; print(keyring.util.platform_.data_root())"
To specify a keyring backend, set the default-keyring option to the full path of the class for that backend, such as keyring.backends.OS_X.Keyring.
If keyring-path is indicated, keyring will add that path to the Python module search path before loading the backend.
For example, this config might be used to load the SimpleKeyring from the demo directory in the project checkout:
[backend] default-keyring=simplekeyring.SimpleKeyring keyring-path=/home/kang/pyworkspace/python-keyring-lib/demo/
The interface for the backend is defined by keyring.backend.KeyringBackend. Every backend should derive from that base class and define a priority attribute and three functions: get_password(), set_password(), and delete_password().
See the backend module for more detail on the interface of this class.
Keyring additionally allows programmatic configuration of the backend calling the api set_keyring(). The indicated backend will subsequently be used to store and retrieve passwords.
Here's an example demonstrating how to invoke set_keyring:
# define a new keyring class which extends the KeyringBackend import keyring.backend class TestKeyring(keyring.backend.KeyringBackend): """A test keyring which always outputs same password """ priority = 1 def set_password(self, servicename, username, password): pass def get_password(self, servicename, username): return "password from TestKeyring" def delete_password(self, servicename, username, password): pass # set the keyring for keyring lib keyring.set_keyring(TestKeyring()) # invoke the keyring lib try: keyring.set_password("demo-service", "tarek", "passexample") print("password stored sucessfully") except keyring.errors.PasswordSetError: print("failed to store password") print("password", keyring.get_password("demo-service", "tarek"))
The keyring lib has a few functions:
- get_keyring(): Return the currently-loaded keyring implementation.
- get_password(service, username): Returns the password stored in the active keyring. If the password does not exist, it will return None.
- set_password(service, username, password): Store the password in the keyring.
- delete_password(service, username): Delete the password stored in keyring. If the password does not exist, it will raise an exception.
Python keyring lib is an open community project and highly welcomes new contributors.
- Repository: http://bitbucket.org/kang/python-keyring-lib/
- Bug Tracker: http://bitbucket.org/kang/python-keyring-lib/issues/
- Mailing list: http://groups.google.com/group/python-keyring
Tests are continuously run using Travis-CI.
To run the tests yourself, you'll want keyring installed to some environment in which it can be tested. Three recommended techniques are described below.
Keyring is instrumented with pytest runner. Thus, you may invoke the tests from any supported Python (with distribute installed) using this command:
python setup.py ptr
pytest runner will download any unmet dependencies and run the tests using pytest.
This technique is the one used by the Travis-CI script.
Pytest and Nose are two popular test runners that will discover tests and run them. Unittest (unittest2 under Python 2.6) also has a mode to discover tests.
First, however, these test runners typically need a test environment in which to run. It is recommended that you install keyring to a virtual environment to avoid interfering with your system environment. For more information, see the venv documentation or the virtualenv homepage.
After you've created (or designated) your environment, install keyring into the environment by running:
python setup.py develop
Then, invoke your favorite test runner, e.g.:
Keyring supplies a buildout.cfg for use with buildout. If you have buildout installed, tests can be invoked as so:
1. bin/buildout # prepare the buildout. 2. bin/test # execute the test runner.
For more information about the options that the script provides do execute:
python bin/test --help