# (c) 2012-2014, Michael DeHaan # # This file is part of Ansible # # Ansible is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Ansible is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Ansible. If not, see . # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type import ast import random import uuid from collections import MutableMapping from json import dumps from ansible import constants as C from ansible.errors import AnsibleError, AnsibleOptionsError from ansible.module_utils.six import iteritems, string_types from ansible.module_utils._text import to_native, to_text from ansible.parsing.splitter import parse_kv _MAXSIZE = 2 ** 32 cur_id = 0 node_mac = ("%012x" % uuid.getnode())[:12] random_int = ("%08x" % random.randint(0, _MAXSIZE))[:8] def get_unique_id(): global cur_id cur_id += 1 return "-".join([ node_mac[0:8], node_mac[8:12], random_int[0:4], random_int[4:8], ("%012x" % cur_id)[:12], ]) def _validate_mutable_mappings(a, b): """ Internal convenience function to ensure arguments are MutableMappings This checks that all arguments are MutableMappings or raises an error :raises AnsibleError: if one of the arguments is not a MutableMapping """ # If this becomes generally needed, change the signature to operate on # a variable number of arguments instead. if not (isinstance(a, MutableMapping) and isinstance(b, MutableMapping)): myvars = [] for x in [a, b]: try: myvars.append(dumps(x)) except: myvars.append(to_native(x)) raise AnsibleError("failed to combine variables, expected dicts but got a '{0}' and a '{1}': \n{2}\n{3}".format( a.__class__.__name__, b.__class__.__name__, myvars[0], myvars[1]) ) def combine_vars(a, b): """ Return a copy of dictionaries of variables based on configured hash behavior """ if C.DEFAULT_HASH_BEHAVIOUR == "merge": return merge_hash(a, b) else: # HASH_BEHAVIOUR == 'replace' _validate_mutable_mappings(a, b) result = a.copy() result.update(b) return result def merge_hash(a, b): """ Recursively merges hash b into a so that keys from b take precedence over keys from a """ _validate_mutable_mappings(a, b) # if a is empty or equal to b, return b if a == {} or a == b: return b.copy() # if b is empty the below unfolds quickly result = a.copy() # next, iterate over b keys and values for k, v in iteritems(b): # if there's already such key in a # and that key contains a MutableMapping if k in result and isinstance(result[k], MutableMapping) and isinstance(v, MutableMapping): # merge those dicts recursively result[k] = merge_hash(result[k], v) else: # otherwise, just copy the value from b to a result[k] = v return result def load_extra_vars(loader, options): extra_vars = {} for extra_vars_opt in options.extra_vars: data = None extra_vars_opt = to_text(extra_vars_opt, errors='surrogate_or_strict') if extra_vars_opt.startswith(u"@"): # Argument is a YAML file (JSON is a subset of YAML) data = loader.load_from_file(extra_vars_opt[1:]) elif extra_vars_opt and extra_vars_opt[0] in u'[{': # Arguments as YAML data = loader.load(extra_vars_opt) else: # Arguments as Key-value data = parse_kv(extra_vars_opt) if isinstance(data, MutableMapping): extra_vars = combine_vars(extra_vars, data) else: raise AnsibleOptionsError("Invalid extra vars data supplied. '%s' could not be made into a dictionary" % extra_vars_opt) return extra_vars def load_options_vars(options, version): options_vars = {} # For now only return check mode, but we can easily return more # options if we need variables for them options_vars['ansible_check_mode'] = options.check options_vars['ansible_version'] = version return options_vars def isidentifier(ident): """ Determines, if string is valid Python identifier using the ast module. Originally posted at: http://stackoverflow.com/a/29586366 """ if not isinstance(ident, string_types): return False try: root = ast.parse(ident) except SyntaxError: return False if not isinstance(root, ast.Module): return False if len(root.body) != 1: return False if not isinstance(root.body[0], ast.Expr): return False if not isinstance(root.body[0].value, ast.Name): return False if root.body[0].value.id != ident: return False return True