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7e88df7ebc
Support for the Google API and GCloud-Python Clients have been added. The three libraries: * GCloud-Python: A new function, get_google_cloud_credentials, should be used. The credentials-object returned can be passed to any gcloud-python client. Using this client library requires in the installation of gcloud-python. This is preferred library for new modules. * Google API: A new function, gcp_api_auth, should be used to take advantage of services requiring this client. This client library should be used if the desired functionality is not available in GCloud-Python. Using this library requires the installation of google-api-python-client. * libcloud: Existing function, gcp_connect, should be used. The interface and return values have not changed and existing modules (such as gce, gce_pd and gce_net) should work without modification. Note that the credentials-fetching code has been refactored out of gcp_connect so that can be reused by all connection functions. To use this function, apache-libcloud must be installed. Import guards have been added and will only be trigger if a user tries to use a function that is missing dependencies. Credential-specifying mechanisms (i.e, ansible module params, env vars and libcloud secrets.py) have not changed. They have been refactored and unit tests have been added to allow for changes going forward. We are deprecating (and removing in a subsequent release) the ability to specify credentials via the libcloud secrets file. Also, we have deprecated (and also plan to remove in a subsequent release) the ability to use a p12 pem file for a key - the JSON format is strongly preferred. Deprecation warnings have been added for both of these issues (see the Ansible docs on how to disable deprecation warnings). |
8 years ago | |
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| .. | ||
| compile | 8 years ago | |
| integration | 8 years ago | |
| results | 8 years ago | |
| runner | 8 years ago | |
| sanity | 8 years ago | |
| units | 8 years ago | |
| utils | 8 years ago | |
| README.md | 8 years ago | |
README.md
Ansible Test System
Folders
units
Unit tests that test small pieces of code not suited for the integration test layer, usually very API based, and should leverage mock interfaces rather than producing side effects.
Playbook engine code is better suited for integration tests.
Requirements: sudo pip install paramiko PyYAML jinja2 httplib2 passlib nose mock
integration
Integration test layer, constructed using playbooks.
Some tests may require cloud credentials, others will not, and destructive tests are separated from non-destructive so a subset can be run on development machines.
learn more
hop into a subdirectory and see the associated README.md for more info.