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# Copyright (c) 2016-2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" Generic file to map and build vnf discriptor """
from __future__ import absolute_import
import collections
import jinja2
import yaml
def render(vnf_model, **kwargs):
"""Render jinja2 VNF template
:param vnf_model: string that contains template
:param kwargs: Dict with template arguments
:returns:rendered template str
"""
return jinja2.Template(vnf_model).render(**kwargs)
def generate_vnfd(vnf_model, node):
"""
:param vnf_model: VNF definition template, e.g. tg_ping_tpl.yaml
:param node: node configuration taken from pod.yaml
:return: Complete VNF Descriptor that will be taken
as input for GenericVNF.__init__
"""
# get is unused as global method inside template
node["get"] = get
# Set Node details to default if not defined in pod file
# we CANNOT use TaskTemplate.render because it does not allow
# for missing variables, we need to allow password for key_filename
# to be undefined
rendered_vnfd = render(vnf_model, **node)
# This is done to get rid of issues with serializing node
del node["get"]
filled_vnfd = yaml.safe_load(rendered_vnfd)
return filled_vnfd
def dict_key_flatten(data):
""" Convert nested dict structure to dotted key
(e.g. {"a":{"b":1}} -> {"a.b":1}
:param data: nested dictionary
:return: flat dicrionary
"""
next_data = {}
# check for non-string iterables
if not any((isinstance(v, collections.Iterable) and not isinstance(v, str))
for v in data.values()):
return data
for key, val in data.items():
if isinstance(val, collections.Mapping):
for n_k, n_v in val.items():
next_data["%s.%s" % (key, n_k)] = n_v
elif isinstance(val, collections.Iterable) and not isinstance(val,
str):
for index, item in enumerate(val):
next_data["%s%d" % (key, index)] = item
else:
next_data[key] = val
return dict_key_flatten(next_data)
def get(obj, key, *args):
""" Get template key from dictionary, get default value or raise an exception
"""
data = dict_key_flatten(obj)
return data.get(key, *args)
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