Python objects.AnsibleMapping类代码示例

    def construct_mapping(self, node, deep=False):
        # Most of this is from yaml.constructor.SafeConstructor.  We replicate
        # it here so that we can warn users when they have duplicate dict keys
        # (pyyaml silently allows overwriting keys)
        if not isinstance(node, MappingNode):
            raise ConstructorError(None, None,
                    "expected a mapping node, but found %s" % node.id,
                    node.start_mark)
        self.flatten_mapping(node)
        mapping = AnsibleMapping()

        # Add our extra information to the returned value
        mapping.ansible_pos = self._node_position_info(node)

        for key_node, value_node in node.value:
            key = self.construct_object(key_node, deep=deep)
            try:
                hash(key)
            except TypeError as exc:
                raise ConstructorError("while constructing a mapping", node.start_mark,
                        "found unacceptable key (%s)" % exc, key_node.start_mark)

            if key in mapping:
                display.warning('While constructing a mapping from {1}, line {2}, column {3}, found a duplicate dict key ({0}).  Using last defined value only.'.format(key, *mapping.ansible_pos))

            value = self.construct_object(value_node, deep=deep)
            mapping[key] = value

        return mapping

    def preprocess_data(self, ds):
        '''
        Regorganizes the data for a PlaybookInclude datastructure to line
        up with what we expect the proper attributes to be
        '''

        assert isinstance(ds, dict)

        # the new, cleaned datastructure, which will have legacy
        # items reduced to a standard structure
        new_ds = AnsibleMapping()
        if isinstance(ds, AnsibleBaseYAMLObject):
            new_ds.ansible_pos = ds.ansible_pos

        for (k,v) in iteritems(ds):
            if k == 'include':
                self._preprocess_include(ds, new_ds, k, v)
            else:
                # some basic error checking, to make sure vars are properly
                # formatted and do not conflict with k=v parameters
                if k == 'vars':
                    if 'vars' in new_ds:
                        raise AnsibleParserError("include parameters cannot be mixed with 'vars' entries for include statements", obj=ds)
                    elif not isinstance(v, dict):
                        raise AnsibleParserError("vars for include statements must be specified as a dictionary", obj=ds)
                new_ds[k] = v

        return super(PlaybookInclude, self).preprocess_data(new_ds)

    def munge(self, ds):
        '''
        Regorganizes the data for a TaskInclude datastructure to line
        up with what we expect the proper attributes to be
        '''

        assert isinstance(ds, dict)

        # the new, cleaned datastructure, which will have legacy
        # items reduced to a standard structure
        new_ds = AnsibleMapping()
        if isinstance(ds, AnsibleBaseYAMLObject):
            new_ds.copy_position_info(ds)

        for (k,v) in ds.iteritems():
            if k == 'include':
                self._munge_include(ds, new_ds, k, v)
            elif k.replace("with_", "") in lookup_finder:
                self._munge_loop(ds, new_ds, k, v)
            else:
                # some basic error checking, to make sure vars are properly
                # formatted and do not conflict with k=v parameters
                # FIXME: we could merge these instead, but controlling the order
                #        in which they're encountered could be difficult
                if k == 'vars':
                    if 'vars' in new_ds:
                        raise AnsibleParserError("include parameters cannot be mixed with 'vars' entries for include statements", obj=ds)
                    elif not isinstance(v, dict):
                        raise AnsibleParserError("vars for include statements must be specified as a dictionary", obj=ds)
                new_ds[k] = v

        return new_ds

    def preprocess_data(self, ds):
        '''
        tasks are especially complex arguments so need pre-processing.
        keep it short.
        '''

        assert isinstance(ds, dict)

        # the new, cleaned datastructure, which will have legacy
        # items reduced to a standard structure suitable for the
        # attributes of the task class
        new_ds = AnsibleMapping()
        if isinstance(ds, AnsibleBaseYAMLObject):
            new_ds.ansible_pos = ds.ansible_pos

        # use the args parsing class to determine the action, args,
        # and the delegate_to value from the various possible forms
        # supported as legacy
        args_parser = ModuleArgsParser(task_ds=ds)
        (action, args, connection) = args_parser.parse()

        new_ds['action']      = action
        new_ds['args']        = args
        new_ds['connection'] = connection

        # we handle any 'vars' specified in the ds here, as we may
        # be adding things to them below (special handling for includes).
        # When that deprecated feature is removed, this can be too.
        if 'vars' in ds:
            # _load_vars is defined in Base, and is used to load a dictionary
            # or list of dictionaries in a standard way
            new_ds['vars'] = self._load_vars(None, ds.pop('vars'))
        else:
            new_ds['vars'] = dict()

        for (k,v) in iteritems(ds):
            if k in ('action', 'local_action', 'args', 'connection') or k == action or k == 'shell':
                # we don't want to re-assign these values, which were
                # determined by the ModuleArgsParser() above
                continue
            elif k.replace("with_", "") in lookup_loader:
                self._preprocess_loop(ds, new_ds, k, v)
            else:
                # pre-2.0 syntax allowed variables for include statements at the
                # top level of the task, so we move those into the 'vars' dictionary
                # here, and show a deprecation message as we will remove this at
                # some point in the future.
                if action == 'include' and k not in self._get_base_attributes() and k not in self.DEPRECATED_ATTRIBUTES:
                    self._display.deprecated("Specifying include variables at the top-level of the task is deprecated. Please see:\nhttp://docs.ansible.com/ansible/playbooks_roles.html#task-include-files-and-encouraging-reuse\n\nfor currently supported syntax regarding included files and variables")
                    new_ds['vars'][k] = v
                else:
                    new_ds[k] = v

        return super(Task, self).preprocess_data(new_ds)

    def construct_mapping(self, node, deep=False):
        ret = AnsibleMapping(super(Constructor, self).construct_mapping(node, deep))
        ret._line_number   = node.__line__
        ret._column_number = node.__column__

        # in some cases, we may have pre-read the data and then
        # passed it to the load() call for YAML, in which case we
        # want to override the default datasource (which would be
        # '<string>') to the actual filename we read in
        if self._ansible_file_name:
            ret._data_source = self._ansible_file_name
        else:
            ret._data_source = node.__datasource__

        return ret

    def preprocess_data(self, ds):
        # role names that are simply numbers can be parsed by PyYAML
        # as integers even when quoted, so turn it into a string type
        if isinstance(ds, int):
            ds = "%s" % ds

        if not isinstance(ds, dict) and not isinstance(ds, string_types) and not isinstance(ds, AnsibleBaseYAMLObject):
            raise AnsibleAssertionError()

        if isinstance(ds, dict):
            ds = super(RoleDefinition, self).preprocess_data(ds)

        # save the original ds for use later
        self._ds = ds

        # we create a new data structure here, using the same
        # object used internally by the YAML parsing code so we
        # can preserve file:line:column information if it exists
        new_ds = AnsibleMapping()
        if isinstance(ds, AnsibleBaseYAMLObject):
            new_ds.ansible_pos = ds.ansible_pos

        # first we pull the role name out of the data structure,
        # and then use that to determine the role path (which may
        # result in a new role name, if it was a file path)
        role_name = self._load_role_name(ds)
        (role_name, role_path) = self._load_role_path(role_name)

        # next, we split the role params out from the valid role
        # attributes and update the new datastructure with that
        # result and the role name
        if isinstance(ds, dict):
            (new_role_def, role_params) = self._split_role_params(ds)
            new_ds.update(new_role_def)
            self._role_params = role_params

        # set the role name in the new ds
        new_ds['role'] = role_name

        # we store the role path internally
        self._role_path = role_path

        # and return the cleaned-up data structure
        return new_ds

 def construct_yaml_map(self, node):
     data = AnsibleMapping()
     yield data
     value = self.construct_mapping(node)
     data.update(value)
     data._line_number   = value._line_number
     data._column_number = value._column_number
     data._data_source   = value._data_source

    def munge(self, ds):

        assert isinstance(ds, dict) or isinstance(ds, string_types)

        # we create a new data structure here, using the same
        # object used internally by the YAML parsing code so we
        # can preserve file:line:column information if it exists
        new_ds = AnsibleMapping()
        if isinstance(ds, AnsibleBaseYAMLObject):
            new_ds.copy_position_info(ds)

        # first we pull the role name out of the data structure,
        # and then use that to determine the role path (which may
        # result in a new role name, if it was a file path)
        role_name = self._load_role_name(ds)
        (role_name, role_path) = self._load_role_path(role_name)

        # next, we split the role params out from the valid role
        # attributes and update the new datastructure with that
        # result and the role name
        if isinstance(ds, dict):
            (new_role_def, role_params) = self._split_role_params(ds)
            new_ds.update(new_role_def)
            self._role_params = role_params

        # set the role name in the new ds
        new_ds['role'] = role_name

        # we store the role path internally
        self._role_path = role_path

        # save the original ds for use later
        self._ds = ds

        # and return the cleaned-up data structure
        return new_ds

    def preprocess_data(self, ds):
        '''
        tasks are especially complex arguments so need pre-processing.
        keep it short.
        '''

        assert isinstance(ds, dict)

        # the new, cleaned datastructure, which will have legacy
        # items reduced to a standard structure suitable for the
        # attributes of the task class
        new_ds = AnsibleMapping()
        if isinstance(ds, AnsibleBaseYAMLObject):
            new_ds.ansible_pos = ds.ansible_pos

        # use the args parsing class to determine the action, args,
        # and the delegate_to value from the various possible forms
        # supported as legacy
        args_parser = ModuleArgsParser(task_ds=ds)
        (action, args, delegate_to) = args_parser.parse()

        new_ds['action']      = action
        new_ds['args']        = args
        new_ds['delegate_to'] = delegate_to

        for (k,v) in ds.iteritems():
            if k in ('action', 'local_action', 'args', 'delegate_to') or k == action or k == 'shell':
                # we don't want to re-assign these values, which were
                # determined by the ModuleArgsParser() above
                continue
            elif k.replace("with_", "") in lookup_loader:
                self._preprocess_loop(ds, new_ds, k, v)
            else:
                new_ds[k] = v

        return super(Task, self).preprocess_data(new_ds)

 def construct_yaml_map(self, node):
     data = AnsibleMapping()
     yield data
     value = self.construct_mapping(node)
     data.update(value)
     data.ansible_pos = self._node_position_info(node)

    def preprocess_data(self, ds):
        """
        tasks are especially complex arguments so need pre-processing.
        keep it short.
        """

        assert isinstance(ds, dict)

        # the new, cleaned datastructure, which will have legacy
        # items reduced to a standard structure suitable for the
        # attributes of the task class
        new_ds = AnsibleMapping()
        if isinstance(ds, AnsibleBaseYAMLObject):
            new_ds.ansible_pos = ds.ansible_pos

        # use the args parsing class to determine the action, args,
        # and the delegate_to value from the various possible forms
        # supported as legacy
        args_parser = ModuleArgsParser(task_ds=ds)
        try:
            (action, args, delegate_to) = args_parser.parse()
        except AnsibleParserError as e:
            raise AnsibleParserError(to_str(e), obj=ds)

        # the command/shell/script modules used to support the `cmd` arg,
        # which corresponds to what we now call _raw_params, so move that
        # value over to _raw_params (assuming it is empty)
        if action in ("command", "shell", "script"):
            if "cmd" in args:
                if args.get("_raw_params", "") != "":
                    raise AnsibleError(
                        "The 'cmd' argument cannot be used when other raw parameters are specified."
                        " Please put everything in one or the other place.",
                        obj=ds,
                    )
                args["_raw_params"] = args.pop("cmd")

        new_ds["action"] = action
        new_ds["args"] = args
        new_ds["delegate_to"] = delegate_to

        # we handle any 'vars' specified in the ds here, as we may
        # be adding things to them below (special handling for includes).
        # When that deprecated feature is removed, this can be too.
        if "vars" in ds:
            # _load_vars is defined in Base, and is used to load a dictionary
            # or list of dictionaries in a standard way
            new_ds["vars"] = self._load_vars(None, ds.get("vars"))
        else:
            new_ds["vars"] = dict()

        for (k, v) in iteritems(ds):
            if k in ("action", "local_action", "args", "delegate_to") or k == action or k == "shell":
                # we don't want to re-assign these values, which were
                # determined by the ModuleArgsParser() above
                continue
            elif k.replace("with_", "") in lookup_loader:
                self._preprocess_loop(ds, new_ds, k, v)
            else:
                # pre-2.0 syntax allowed variables for include statements at the
                # top level of the task, so we move those into the 'vars' dictionary
                # here, and show a deprecation message as we will remove this at
                # some point in the future.
                if action == "include" and k not in self._get_base_attributes() and k not in self.DEPRECATED_ATTRIBUTES:
                    display.deprecated(
                        "Specifying include variables at the top-level of the task is deprecated."
                        " Please see:\nhttp://docs.ansible.com/ansible/playbooks_roles.html#task-include-files-and-encouraging-reuse\n\n"
                        " for currently supported syntax regarding included files and variables"
                    )
                    new_ds["vars"][k] = v
                else:
                    new_ds[k] = v

        return super(Task, self).preprocess_data(new_ds)

 def construct_mapping(self, node, deep=False):
     ret = AnsibleMapping(super(Constructor, self).construct_mapping(node, deep))
     ret._line_number   = node.__line__
     ret._column_number = node.__column__
     ret._data_source   = node.__datasource__
     return ret

    def construct_mapping(self, node, deep=False):
        ret = AnsibleMapping(super(Constructor, self).construct_mapping(node, deep))
        ret.ansible_pos = self._node_position_info(node)

        return ret

    def preprocess_data(self, ds):
        '''
        tasks are especially complex arguments so need pre-processing.
        keep it short.
        '''

        assert isinstance(ds, dict), 'ds (%s) should be a dict but was a %s' % (ds, type(ds))

        # the new, cleaned datastructure, which will have legacy
        # items reduced to a standard structure suitable for the
        # attributes of the task class
        new_ds = AnsibleMapping()
        if isinstance(ds, AnsibleBaseYAMLObject):
            new_ds.ansible_pos = ds.ansible_pos

        # use the args parsing class to determine the action, args,
        # and the delegate_to value from the various possible forms
        # supported as legacy
        args_parser = ModuleArgsParser(task_ds=ds)
        try:
            (action, args, delegate_to) = args_parser.parse()
        except AnsibleParserError as e:
            raise AnsibleParserError(to_native(e), obj=ds, orig_exc=e)

        # the command/shell/script modules used to support the `cmd` arg,
        # which corresponds to what we now call _raw_params, so move that
        # value over to _raw_params (assuming it is empty)
        if action in ('command', 'shell', 'script'):
            if 'cmd' in args:
                if args.get('_raw_params', '') != '':
                    raise AnsibleError("The 'cmd' argument cannot be used when other raw parameters are specified."
                                       " Please put everything in one or the other place.", obj=ds)
                args['_raw_params'] = args.pop('cmd')

        new_ds['action'] = action
        new_ds['args'] = args
        new_ds['delegate_to'] = delegate_to

        # we handle any 'vars' specified in the ds here, as we may
        # be adding things to them below (special handling for includes).
        # When that deprecated feature is removed, this can be too.
        if 'vars' in ds:
            # _load_vars is defined in Base, and is used to load a dictionary
            # or list of dictionaries in a standard way
            new_ds['vars'] = self._load_vars(None, ds.get('vars'))
        else:
            new_ds['vars'] = dict()

        for (k, v) in iteritems(ds):
            if k in ('action', 'local_action', 'args', 'delegate_to') or k == action or k == 'shell':
                # we don't want to re-assign these values, which were determined by the ModuleArgsParser() above
                continue
            elif k.replace("with_", "") in lookup_loader:
                # transform into loop property
                self._preprocess_loop(ds, new_ds, k, v)
            else:
                # pre-2.0 syntax allowed variables for include statements at the top level of the task,
                # so we move those into the 'vars' dictionary here, and show a deprecation message
                # as we will remove this at some point in the future.
                if action in ('include', 'include_tasks') and k not in self._valid_attrs and k not in self.DEPRECATED_ATTRIBUTES:
                    display.deprecated("Specifying include variables at the top-level of the task is deprecated."
                                       " Please see:\nhttp://docs.ansible.com/ansible/playbooks_roles.html#task-include-files-and-encouraging-reuse\n\n"
                                       " for currently supported syntax regarding included files and variables", version="2.7")
                    new_ds['vars'][k] = v
                elif k in self._valid_attrs:
                    new_ds[k] = v
                else:
                    display.warning("Ignoring invalid attribute: %s" % k)

        return super(Task, self).preprocess_data(new_ds)