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@ -19,7 +19,100 @@
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from __future__ import (absolute_import, division, print_function)
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__metaclass__ = type
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from ansible.parsing.splitter import split_args, parse_kv
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from ansible.parsing.yaml.objects import AnsibleBaseYAMLObject, AnsibleMapping
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from ansible.playbook.attribute import FieldAttribute
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from ansible.playbook.base import Base
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from ansible.playbook.conditional import Conditional
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from ansible.playbook.taggable import Taggable
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class PlaybookInclude(Base):
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pass
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_name = FieldAttribute(isa='string')
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_include = FieldAttribute(isa='string')
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_vars = FieldAttribute(isa='dict', default=dict())
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@staticmethod
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def load(data, variable_manager=None, loader=None):
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return PlaybookInclude().load_data(ds=data, variable_manager=variable_manager, loader=loader)
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def load_data(self, ds, variable_manager=None, loader=None):
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'''
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Overrides the base load_data(), as we're actually going to return a new
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Playbook() object rather than a PlaybookInclude object
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'''
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# import here to avoid a dependency loop
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from ansible.playbook import Playbook
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# first, we use the original parent method to correctly load the object
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# via the munge/load_data system we normally use for other playbook objects
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new_obj = super(PlaybookInclude, self).load_data(ds, variable_manager, loader)
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# then we use the object to load a Playbook
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pb = Playbook(loader=loader)
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pb._load_playbook_data(file_name=new_obj.include, variable_manager=variable_manager)
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# finally, playbook includes can specify a list of variables, which are simply
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# used to update the vars of each play in the playbook
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for entry in pb._entries:
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entry.vars.update(new_obj.vars)
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return pb
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def munge(self, ds):
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'''
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Regorganizes the data for a PlaybookInclude datastructure to line
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up with what we expect the proper attributes to be
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'''
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assert isinstance(ds, dict)
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# the new, cleaned datastructure, which will have legacy
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# items reduced to a standard structure
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new_ds = AnsibleMapping()
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if isinstance(ds, AnsibleBaseYAMLObject):
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new_ds.copy_position_info(ds)
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for (k,v) in ds.iteritems():
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if k == 'include':
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self._munge_include(ds, new_ds, k, v)
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elif k.replace("with_", "") in lookup_loader:
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self._munge_loop(ds, new_ds, k, v)
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else:
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# some basic error checking, to make sure vars are properly
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# formatted and do not conflict with k=v parameters
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# FIXME: we could merge these instead, but controlling the order
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# in which they're encountered could be difficult
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if k == 'vars':
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if 'vars' in new_ds:
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raise AnsibleParserError("include parameters cannot be mixed with 'vars' entries for include statements", obj=ds)
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elif not isinstance(v, dict):
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raise AnsibleParserError("vars for include statements must be specified as a dictionary", obj=ds)
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new_ds[k] = v
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return new_ds
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def _munge_include(self, ds, new_ds, k, v):
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'''
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Splits the include line up into filename and parameters
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'''
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# The include line must include at least one item, which is the filename
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# to include. Anything after that should be regarded as a parameter to the include
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items = split_args(v)
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if len(items) == 0:
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raise AnsibleParserError("include statements must specify the file name to include", obj=ds)
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else:
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# FIXME/TODO: validate that items[0] is a file, which also
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# exists and is readable
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new_ds['include'] = items[0]
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if len(items) > 1:
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# rejoin the parameter portion of the arguments and
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# then use parse_kv() to get a dict of params back
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params = parse_kv(" ".join(items[1:]))
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if 'vars' in new_ds:
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# FIXME: see fixme above regarding merging vars
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raise AnsibleParserError("include parameters cannot be mixed with 'vars' entries for include statements", obj=ds)
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new_ds['vars'] = params
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