* Skip gitlab tests if dependencies aren't met
* Skip certain unittests if passlib is not installed
* Fix tests with deps on paramiko to skip if paramiko is not installed
* Use pytest to skip for cloudstack
If either on Python-2.6 or the cs library is not installed we cannot run
this test so skip it
* gitlab_group: refactor module
* gitlab_user: refactor module
* gitlab_group, gitlab_user; pylint
* gitlab_project: refactor module
* gitlab_group, gitlab_project, gitlab_user: Enchance modules
- Add generic loop to update object
- Enchance return messages
- PyLint
* gitlab_runner: refactor module
* gitlab_hooks: refactor module
* gitlab_deploy_key: refactor module
* gitlab_group: enchance module and documentation
- Enchange function arguments
- Add check_mode break
- Rewrite module documentation
* gitlab_hook: enchance module and documentation
- Rewrite documentation
- Enchance function parameters
- Rename functions
* gitlab_project: enchance module and documentation
- Rewrite documentation
- Enchance function parameters
- Add try/except on project creation
* gitlab_runner: enchance module and documentation
- Rewrite documentation
- Fix Copyright
- Enchance function arguments
- Add check_mode break
- Add missing function: deletion
* gitlab_user: enchance module and documentation
- Rewrite documentation
- Enchance function parameters
- Add check_mode break
- Add try/except on user creation
* gitlab_deploy_key, gitlab_group, gitlab_hooks, gitlab_project,
gitlab_runner, gitlab_user: Fix residual bugs
- Fix Copyright
- Fix result messages
- Add missing check_mode break
* gitlab_deploy_key, gitlab_group, gitlab_hooks, gitlab_project, gitlab_runner, gitlab_user: pylint
* gitlab_runner: Add substitution function for 'cmp' in python3
* unit-test: remove deprecated gitlab module tests
- gitlab_deploy_key
- gitlab_hooks
- gitlab_project
Actually, they can't be reused because of the modification of the way that the module communicate with the Gitlab instance. It doesn't make direct call to the API, now it use a python library that do the job. So using a pytest mocker to test the module won't work.
* gitlab_deploy_key, gitlab_group, gitlab_hooks, gitlab_project, gitlab_runner, gitlab_user: add copyright
* gitlab_deploy_key, gitlab_group, gitlab_hooks, gitlab_project, gitlab_runner, gitlab_user: Support old parameters format
* module_utils Gitlab: Edit copyright
* gitlab_deploy_key, gitlab_group, gitlab_hooks, gitlab_project,
gitlab_runner, gitlab_user: Unifying module inputs
- Rename verify_ssl into validate_certs to match standards
- Remove unused alias parameters
- Unify parameters type and requirement
- Reorder list order
* gitlab_deploy_key, gitlab_group, gitlab_hooks, gitlab_project, gitlab_runner, gitlab_user: Unifying module outputs
- Use standard output parameter "msg" instead of "return"
- Use snail_case for return values instead of camelCase
* validate-module: remove sanity ignore
* BOTMETA: remove gitlab_* test
- This tests need to be completely rewriten because of the refactoring
of these modules
- TodoList Community Wiki was updated
* gitlab_user: Fix group identifier
* gitlab_project: Fix when group was empty
* gitlab_deploy_key: edit return msg
* module_utils gitlab: fall back to user namespace is project not found
* gitlab modules: Add units tests
* unit test: gitlab module fake current user
* gitlab_user: fix access_level verification
* gitlab unit tests: use decoration instead of with statement
* unit tests: gitlab module skip python 2.6
* unit tests: gitlab module skip library import if python 2.6
* gitlab unit tests: use builtin unittest class
* gitlab unit tests: use custom test class
* unit test: gitlab module lint
* unit tests: move gitlab utils
* unit test: gitlab fix imports
* gitlab_module: edit requirement
python-gitlab library require python >= 2.7
* gitlab_module: add myself as author
* gitlab_modules: add python encoding tag
* gitlab_modules: keep consistency between variable name "validate_certs"
* gitlab_modules: enchance documentation
* gitlab_runner: fix syntax error in documentation
* gitlab_module: use basic_auth module_utils and add deprecation warning
* gitlab_module: documentation corrections
* gitlab_module: python lint
* gitlab_module: deprecate options and aliases for ansible 2.10
* gitlab_group: don't use 'local_action' is documentation example
* gitlab_module: correct return messages
* gitlab_module: use module_util 'missing_required_lib' when python library is missing
* gitlab_module: fix typo in function name.
* gitlab_modules: unify return msg on check_mode
* gitlab_modules: don't use deprecated options in examples
* Move ansible.compat.tests to test/units/compat/.
* Fix unit test references to ansible.compat.tests.
* Move builtins compat to separate file.
* Fix classification of test/units/compat/ dir.
Now that we don't need to worry about python-2.4 and 2.5, we can make
some improvements to the way AnsiballZ handles modules.
* Change AnsiballZ wrapper to use import to invoke the module
We need the module to think of itself as a script because it could be
coded as:
main()
or as:
if __name__ == '__main__':
main()
Or even as:
if __name__ == '__main__':
random_function_name()
A script will invoke all of those. Prior to this change, we invoked
a second Python interpreter on the module so that it really was
a script. However, this means that we have to run python twice (once
for the AnsiballZ wrapper and once for the module). This change makes
the module think that it is a script (because __name__ in the module ==
'__main__') but it's actually being invoked by us importing the module
code.
There's three ways we've come up to do this.
* The most elegant is to use zipimporter and tell the import mechanism
that the module being loaded is __main__:
* 5959f11c9d/lib/ansible/executor/module_common.py (L175)
* zipimporter is nice because we do not have to extract the module from
the zip file and save it to the disk when we do that. The import
machinery does it all for us.
* The drawback is that modules do not have a __file__ which points
to a real file when they do this. Modules could be using __file__
to for a variety of reasons, most of those probably have
replacements (the most common one is to find a writable directory
for temporary files. AnsibleModule.tmpdir should be used instead)
We can monkeypatch __file__ in fom AnsibleModule initialization
but that's kind of gross. There's no way I can see to do this
from the wrapper.
* Next, there's imp.load_module():
* https://github.com/abadger/ansible/blob/340edf7489/lib/ansible/executor/module_common.py#L151
* imp has the nice property of allowing us to set __name__ to
__main__ without changing the name of the file itself
* We also don't have to do anything special to set __file__ for
backwards compatibility (although the reason for that is the
drawback):
* Its drawback is that it requires the file to exist on disk so we
have to explicitly extract it from the zipfile and save it to
a temporary file
* The last choice is to use exec to execute the module:
* https://github.com/abadger/ansible/blob/f47a4ccc76/lib/ansible/executor/module_common.py#L175
* The code we would have to maintain for this looks pretty clean.
In the wrapper we create a ModuleType, set __file__ on it, read
the module's contents in from the zip file and then exec it.
* Drawbacks: We still have to explicitly extract the file's contents
from the zip archive instead of letting python's import mechanism
handle it.
* Exec also has hidden performance issues and breaks certain
assumptions that modules could be making about their own code:
http://lucumr.pocoo.org/2011/2/1/exec-in-python/
Our plan is to use imp.load_module() for now, deprecate the use of
__file__ in modules, and switch to zipimport once the deprecation
period for __file__ is over (without monkeypatching a fake __file__ in
via AnsibleModule).
* Rename the name of the AnsiBallZ wrapped module
This makes it obvious that the wrapped module isn't the module file that
we distribute. It's part of trying to mitigate the fact that the module
is now named __main)).py in tracebacks.
* Shield all wrapper symbols inside of a function
With the new import code, all symbols in the wrapper become visible in
the module. To mitigate the chance of collisions, move most symbols
into a toplevel function. The only symbols left in the global namespace
are now _ANSIBALLZ_WRAPPER and _ansiballz_main.
revised porting guide entry
Integrate code coverage collection into AnsiballZ.
ci_coverage
ci_complete
* Added module gitlab_deploy_key and related tests
* Fix sanity check issues
* Refactor to use common util method, add check_mode support
* Fix module shebang
