Add support for doing language resolution for a request, based on the Accept-Language HTTP header. Using the lazy gettext functionality from oslo gettextutils, it is possible to use the resolved language to translate an exception message to the user requested language and return that translation from the API. Co-authored-by: Luis A. Garcia <luis@linux.vnet.ibm.com> Co-authored-by: Mathew Odden <mrodden@us.ibm.com> Implements bp user-locale-api Change-Id: Id8e92a42039d2f0b01d5c2dada733d068b2bdfeb
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Developing with Keystone
Setup
Get your development environment set up according to setup
. The instructions from
here will assume that you have installed keystone into a virtualenv. If
you chose not to, simply exclude "tools/with_venv.sh" from the example
commands below.
Configuring Keystone
keystone requires a configuration file. There is a sample configuration file that can be used to get started:
$ cp etc/keystone.conf.sample etc/keystone.conf
The defaults are enough to get you going, but you can make any changes if needed.
Running Keystone
To run the keystone Admin and API server instances, use:
$ tools/with_venv.sh bin/keystone-all
this runs keystone with the configuration the etc/ directory of the
project. See configuration
for details on how Keystone is
configured. By default, keystone is configured with KVS backends, so any
data entered into keystone run in this fashion will not persist across
restarts.
Interacting with Keystone
You can interact with Keystone through the command line using man/keystone-manage
which
allows you to initialize keystone, etc.
You can also interact with Keystone through its REST API. There is a python keystone client library python-keystoneclient which interacts exclusively through the REST API, and which keystone itself uses to provide its command-line interface.
When initially getting set up, after you've configured which databases to use, you're probably going to need to run the following to your database schema in place:
$ bin/keystone-manage db_sync
Database Schema Migrations
Keystone uses SQLAlchemy-migrate _SQLAlchemy-migrate
//code.google.com/p/sqlalchemy-migrate/
to migrate the SQL database between revisions. For core components, the
migrations are kept in a central repository under
keystone/common/sql/migrate_repo.
Extensions should be created as directories under keystone/contrib. An extension that requires sql migrations should not change the common repository, but should instead have its own repository. This repository must be in the extension's directory in keystone/contrib/<extension>/migrate_repo. In addition it needs a subdirectory named versions. For example, if the extension name is my_extension then the directory structure would be keystone/contrib/my_extension/migrate_repo/versions/. For the migration o work, both the migrate_repo and versions subdirectories must have empty __init__.py files. SQLAlchemy-migrate will look for a configuration file in the migrate_repo named migrate.cfg. This conforms to a Key/value ini file format. A sample config file with the minimal set of values is:
[db_settings]
repository_id=my_extension
version_table=migrate_version
required_dbs=[]
The directory keystone/contrib/example contains a sample extension migration.
Migrations for extension must be explicitly run. To run a migration for a specific extension, run keystone-manage --extension <name> db_sync.
Initial Sample Data
There is an included script which is helpful in setting up some initial sample data for use with keystone:
$ SERVICE_TOKEN=ADMIN tools/with_venv.sh tools/sample_data.sh
Notice it requires a service token read from an environment variable
for authentication. The default value "ADMIN" is from the
admin_token
option in the [DEFAULT]
section in
etc/keystone.conf
.
Once run, you can see the sample data that has been created by using the python-keystoneclient command-line interface:
$ tools/with_venv.sh keystone --token ADMIN --endpoint http://127.0.0.1:35357/v2.0/ user-list
Running Tests
To run the full suites of tests maintained within Keystone, run:
$ ./run_tests.sh
This shows realtime feedback during test execution, iterates over multiple configuration variations, and uses external projects to do light integration testing to verify the keystone API against other projects.
Test Structure
./run_test.sh
uses its python cohort
(run_tests.py
) to iterate through the
keystone/tests
directory, using Nosetest to collect the
tests and invoke them using an OpenStack custom test running that
displays the tests as well as the time taken to run those tests.
Not all of the tests in the tests directory are strictly unit tests. Keystone intentionally includes tests that run the service locally and drives the entire configuration to achieve basic functional testing.
For the functional tests, an in-memory key-value store is used to keep the tests fast.
Within the tests directory, the general structure of the tests is a basic set of tests represented under a test class, and then subclasses of those tests under other classes with different configurations to drive different backends through the APIs.
For example, test_backend.py
has a sequence of tests
under the class IdentityTests
that will work with the
default drivers as configured in this projects etc/ directory.
test_backend_sql.py
subclasses those tests, changing the
configuration by overriding with configuration files stored in the tests
directory aimed at enabling the SQL backend for the Identity module.
Likewise, test_keystoneclient.py
takes advantage of the
tests written against KeystoneClientTests
to verify the
same tests function through different drivers and releases of the
Keystone client.
The class CompatTestCase
does the work of checking out a
specific version of python-keystoneclient, and then verifying it against
a temporarily running local instance to explicitly verify basic
functional testing across the API.
Testing Schema Migrations
The application of schema migrations can be tested using SQLAlchemy Migrate’s built-in test runner, one migration at a time.
Warning
This may leave your database in an inconsistent state; attempt this in non-production environments only!
This is useful for testing the next migration in sequence (both forward & backward) in a database under version control:
python keystone/common/sql/migrate_repo/manage.py test \
--url=sqlite:///test.db \
--repository=keystone/common/sql/migrate_repo/
This command references to a SQLite database (test.db) to be used. Depending on the migration, this command alone does not make assertions as to the integrity of your data during migration.
Writing Tests
To add tests covering all drivers, update the relevant base test
class (test_backend.py
, test_legacy_compat.py
,
and test_keystoneclient.py
).
To add new drivers, subclass the test_backend.py
(look
towards test_backend_sql.py
or
test_backend_kvs.py
for examples) and update the
configuration of the test class in setUp()
.
Further Testing
devstack is the best way to quickly deploy keystone with the rest of the OpenStack universe and should be critical step in your development workflow!
You may also be interested in either the OpenStack Continuous Integration Project or the OpenStack Integration Testing Project.
LDAP
LDAP has a fake backend that performs rudimentary operations. If you
are building more significant LDAP functionality, you should test
against a live LDAP server. Devstack has an option to set up a directory
server for Keystone to use. Add ldap to the
ENABLED_SERVICES
environment variable, and set environment
variables KEYSTONE_IDENTITY_BACKEND=ldap
and
KEYSTONE_CLEAR_LDAP=yes
in your localrc
file.
The unit tests can be run against a live server with
keystone/tests/_ldap_livetest.py
. The default password is
test
but if you have installed devstack with a different
LDAP password, modify the file
keystone/tests/backend_liveldap.conf
to reflect your
password.
Translated responses
The Keystone server can provide error responses translated into the
language in the Accept-Language
header of the request. In
order to test this in your development environment, there's a couple of
things you need to do.
- Build the message files. Run the following command in your keystone directory:
$ python setup.py compile_catalog
This will generate .mo files like keystone/locale/[lang]/LC_MESSAGES/[lang].mo
- When running Keystone, set the
KEYSTONE_LOCALEDIR
environment variable to the keystone/locale directory. For example:
$ KEYSTONE_LOCALEDIR=/opt/stack/keystone/keystone/locale keystone-all
Now you can get a translated error response:
$ curl -s -H "Accept-Language: zh" http://localhost:5000/notapath | python -mjson.tool
{
"error": {
"code": 404,
"message": "\u627e\u4e0d\u5230\u8cc7\u6e90\u3002",
"title": "Not Found"
}
}
Building the Documentation
The documentation is all generated with Sphinx from within the docs directory. To generate the full set of HTML documentation:
cd docs
make autodoc
make html
make man
the results are in the docs/build/html and docs/build/man directories respectively.