annotate sat/tools/common/data_format.py @ 2766:93a421de0e3d

tools (common/data_objects): metadata parsing in BlogItems: metadata are parsed to deserialise some well known values like rsm index and count, and some properties have been added to have easier access. A "complete" property (or item in metadata) is set to True if we are on the last page, False if we are not, or None if we don't have enough data to know if we are on the last page or not.
author Goffi <goffi@goffi.org>
date Fri, 11 Jan 2019 16:35:13 +0100
parents 46f2733a2a9b
children 003b8b4b56a7
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1 #!/usr/bin/env python2
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2 # -*- coding: utf-8 -*-
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3
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4 # SAT: a jabber client
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5 # Copyright (C) 2009-2018 Jérôme Poisson (goffi@goffi.org)
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7 # This program is free software: you can redistribute it and/or modify
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8 # it under the terms of the GNU Affero General Public License as published by
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9 # the Free Software Foundation, either version 3 of the License, or
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10 # (at your option) any later version.
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12 # This program is distributed in the hope that it will be useful,
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13 # but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 # GNU Affero General Public License for more details.
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17 # You should have received a copy of the GNU Affero General Public License
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18 # along with this program. If not, see <http://www.gnu.org/licenses/>.
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19
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20 """ tools common to backend and frontends """
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21 #  FIXME: json may be more appropriate than manual serialising like done here
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22
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23 from sat.core import exceptions
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24 import json
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25
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26
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27 def dict2iter(name, dict_, pop=False):
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28 """iterate into a list serialised in a dict
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29
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30 name is the name of the key.
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31 Serialisation is done with [name] [name#1] [name#2] and so on
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32 e.g.: if name is 'group', keys are group, group#1, group#2, ...
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33 iteration stop at first missing increment
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34 Empty values are possible
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35 @param name(unicode): name of the key
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36 @param dict_(dict): dictionary with the serialised list
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37 @param pop(bool): if True, remove the value from dict
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38 @return iter: iterate through the deserialised list
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39 """
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40 if pop:
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41 get = lambda d, k: d.pop(k)
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42 else:
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43 get = lambda d, k: d[k]
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44
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45 try:
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46 yield get(dict_, name)
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47 except KeyError:
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48 return
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49 else:
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50 idx = 1
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51 while True:
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52 try:
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53 yield get(dict_, u"{}#{}".format(name, idx))
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54 except KeyError:
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55 return
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56 else:
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57 idx += 1
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58
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59
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60 def dict2iterdict(name, dict_, extra_keys, pop=False):
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61 """like dict2iter but yield dictionaries
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62
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63 params are like in [dict2iter], extra_keys is used for extra dict keys.
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64 e.g. dict2iterdict(comments, mb_data, ('node', 'service')) will yield dicts like:
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65 {u'comments': u'value1', u'node': u'value2', u'service': u'value3'}
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66 """
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67 #  FIXME: this format seem overcomplicated, it may be more appropriate to use json here
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68 if pop:
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69 get = lambda d, k: d.pop(k)
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70 else:
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71 get = lambda d, k: d[k]
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72 for idx, main_value in enumerate(dict2iter(name, dict_, pop=pop)):
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73 ret = {name: main_value}
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74 for k in extra_keys:
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75 ret[k] = get(
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76 dict_, u"{}{}_{}".format(name, (u"#" + unicode(idx)) if idx else u"", k)
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77 )
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78 yield ret
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79
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80
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81 def iter2dict(name, iter_, dict_=None, check_conflict=True):
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82 """Fill a dict with values from an iterable
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83
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84 name is used to serialise iter_, in the same way as in [dict2iter]
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85 Build from the tags a dict using the microblog data format.
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86
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87 @param name(unicode): key to use for serialisation
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88 e.g. "group" to have keys "group", "group#1", "group#2", ...
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89 @param iter_(iterable): values to store
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90 @param dict_(None, dict): dictionary to fill, or None to create one
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91 @param check_conflict(bool): if True, raise an exception in case of existing key
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92 @return (dict): filled dict, or newly created one
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93 @raise exceptions.ConflictError: a needed key already exists
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94 """
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95 if dict_ is None:
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96 dict_ = {}
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97 for idx, value in enumerate(iter_):
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98 if idx == 0:
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99 key = name
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100 else:
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101 key = u"{}#{}".format(name, idx)
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102 if check_conflict and key in dict_:
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103 raise exceptions.ConflictError
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104 dict_[key] = value
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105 return dict
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106
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107
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108 def getSubDict(name, dict_, sep=u"_"):
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109 """get a sub dictionary from a serialised dictionary
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110
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111 look for keys starting with name, and create a dict with it
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112 eg.: if "key" is looked for, {'html': 1, 'key_toto': 2, 'key_titi': 3} will return:
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113 {None: 1, toto: 2, titi: 3}
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114 @param name(unicode): name of the key
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115 @param dict_(dict): dictionary with the serialised list
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116 @param sep(unicode): separator used between name and subkey
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117 @return iter: iterate through the deserialised items
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118 """
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119 for k, v in dict_.iteritems():
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120 if k.startswith(name):
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121 if k == name:
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122 yield None, v
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123 else:
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124 if k[len(name)] != sep:
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125 continue
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126 else:
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127 yield k[len(name) + 1 :], v
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128
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129 def serialise(data):
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130 """Serialise data so it can be sent to bridge
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131
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132 @return(unicode): serialised data, can be transmitted as string to the bridge
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133 """
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134 return json.dumps(data, ensure_ascii=False, default=unicode)
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135
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136 def deserialise(serialised_data, default=None, type_check=dict):
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137 """Deserialize data from bridge
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138
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139 @param serialised_data(unicode): data to deserialise
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140 @default (object): value to use when serialised data is empty string
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141 @param type_check(type): if not None, the deserialised data must be of this type
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142 @return(object): deserialised data
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143 @raise ValueError: serialised_data is of wrong type
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144 """
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145 if serialised_data == u"":
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146 return default
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147 ret = json.loads(serialised_data)
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148 if type_check is not None and not isinstance(ret, type_check):
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149 raise ValueError(u"Bad data type, was expecting {type_check}, got {real_type}"
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150 .format(type_check=type_check, real_type=type(ret)))
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151 return ret