We couldn't copy to_unicode, to_bytes, to_str into module_utils because
of licensing. So once created it we had two sets of functions that did
the same things but had different implementations. To remedy that, this
change removes the ansible.utils.unicode versions of those functions.
Make !vault-encrypted create a AnsibleVaultUnicode
yaml object that can be used as a regular string object.
This allows a playbook to include a encrypted vault
blob for the value of a yaml variable. A 'secret_password'
variable can have it's value encrypted instead of having
to vault encrypt an entire vars file.
Add __ENCRYPTED__ to the vault yaml types so
template.Template can treat it similar
to __UNSAFE__ flags.
vault.VaultLib api changes:
- Split VaultLib.encrypt to encrypt and encrypt_bytestring
- VaultLib.encrypt() previously accepted the plaintext data
as either a byte string or a unicode string.
Doing the right thing based on the input type would fail
on py3 if given a arg of type 'bytes'. To simplify the
API, vaultlib.encrypt() now assumes input plaintext is a
py2 unicode or py3 str. It will encode to utf-8 then call
the new encrypt_bytestring(). The new methods are less
ambiguous.
- moved VaultLib.is_encrypted logic to vault module scope
and split to is_encrypted() and is_encrypted_file().
Add a test/unit/mock/yaml_helper.py
It has some helpers for testing parsing/yaml
Integration tests added as roles test_vault and test_vault_embedded
PyYAML has a SafeRepresenter in lib/... that defines
def represent_unicode(self, data):
return self.represent_scalar(u'tag:yaml.org,2002:str', data)
and a different SafeRepresenter in lib3/... that defines
def represent_str(self, data):
return self.represent_scalar('tag:yaml.org,2002:str', data)
so the right thing to do on Python 3 is to use represent_str.
(AnsibleUnicode is a subclass of six.text_type, i.e. 'str' on Python 3.)