osm_nbi/utils.py

   1 # -*- coding: utf-8 -*-
   2
   3 # Copyright 2020 Whitestack, LLC
   4 # *************************************************************
   5 #
   6 # This file is part of OSM NBI module
   7 # All Rights Reserved to Whitestack, LLC
   8 #
   9 # Licensed under the Apache License, Version 2.0 (the "License"); you may
  10 # not use this file except in compliance with the License. You may obtain
  11 # a copy of the License at
  12 #
  13 #         http://www.apache.org/licenses/LICENSE-2.0
  14 #
  15 # Unless required by applicable law or agreed to in writing, software
  16 # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  17 # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
  18 # License for the specific language governing permissions and limitations
  19 # under the License.
  20 #
  21 # For those usages not covered by the Apache License, Version 2.0 please
  22 # contact: fbravo@whitestack.com or agarcia@whitestack.com
  23 ##
  24
  25
  26 def find_in_list(the_list, condition_lambda):
  27     for item in the_list:
  28         if condition_lambda(item):
  29             return item
  30     else:
  31         return None
  32
  33
  34 def find_index_in_list(the_list, condition_lambda):
  35     for index, item in enumerate(the_list):
  36         if condition_lambda(item):
  37             return index
  38     else:
  39         return -1
  40
  41
  42 def deep_update_dict(data, updated_data):
  43     if isinstance(data, list):
  44         processed_items_data = []
  45         for index, item in enumerate(data):
  46             processed_items_data.append(deep_update_dict(item, updated_data[index]))
  47         return processed_items_data
  48
  49     if isinstance(data, dict):
  50         for key in data.keys():
  51             if key in updated_data:
  52                 if not isinstance(data[key], dict) and not isinstance(data[key], list):
  53                     data[key] = updated_data[key]
  54                 else:
  55                     data[key] = deep_update_dict(data[key], updated_data[key])
  56         return data
  57
  58     return data