Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/rdflib_jsonld/parser.py @ 3:758bc20232e8 draft
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author | shellac |
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date | Thu, 14 May 2020 16:20:52 -0400 |
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1 # -*- coding: utf-8 -*- |
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2 """ |
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3 This parser will interpret a JSON-LD document as an RDF Graph. See: |
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4 |
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5 http://json-ld.org/ |
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6 |
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7 Example usage:: |
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8 |
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9 >>> from rdflib.plugin import register, Parser |
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10 >>> register('json-ld', Parser, 'rdflib_jsonld.parser', 'JsonLDParser') |
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11 |
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12 >>> from rdflib import Graph, URIRef, Literal |
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13 >>> test_json = ''' |
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14 ... { |
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15 ... "@context": { |
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16 ... "dc": "http://purl.org/dc/terms/", |
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17 ... "rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#", |
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18 ... "rdfs": "http://www.w3.org/2000/01/rdf-schema#" |
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19 ... }, |
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20 ... "@id": "http://example.org/about", |
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21 ... "dc:title": { |
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22 ... "@language": "en", |
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23 ... "@value": "Someone's Homepage" |
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24 ... } |
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25 ... } |
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26 ... ''' |
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27 >>> g = Graph().parse(data=test_json, format='json-ld') |
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28 >>> list(g) == [(URIRef('http://example.org/about'), |
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29 ... URIRef('http://purl.org/dc/terms/title'), |
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30 ... Literal("Someone's Homepage", lang='en'))] |
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31 True |
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32 |
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33 """ |
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34 # NOTE: This code reads the entire JSON object into memory before parsing, but |
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35 # we should consider streaming the input to deal with arbitrarily large graphs. |
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36 |
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37 import warnings |
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38 from rdflib.graph import ConjunctiveGraph |
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39 from rdflib.parser import Parser, URLInputSource |
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40 from rdflib.namespace import RDF, XSD |
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41 from rdflib.term import URIRef, BNode, Literal |
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42 |
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43 from .context import Context, Term, UNDEF |
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44 from .util import source_to_json, VOCAB_DELIMS, context_from_urlinputsource |
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45 from .keys import CONTEXT, GRAPH, ID, INDEX, LANG, LIST, REV, SET, TYPE, VALUE, VOCAB |
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46 |
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47 __all__ = ['JsonLDParser', 'to_rdf'] |
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48 |
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49 |
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50 TYPE_TERM = Term(str(RDF.type), TYPE, VOCAB) |
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51 |
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52 ALLOW_LISTS_OF_LISTS = True # NOTE: Not allowed in JSON-LD 1.0 |
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53 |
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54 |
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55 class JsonLDParser(Parser): |
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56 def __init__(self): |
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57 super(JsonLDParser, self).__init__() |
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58 |
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59 def parse(self, source, sink, **kwargs): |
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60 # TODO: docstring w. args and return value |
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61 encoding = kwargs.get('encoding') or 'utf-8' |
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62 if encoding not in ('utf-8', 'utf-16'): |
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63 warnings.warn("JSON should be encoded as unicode. " + |
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64 "Given encoding was: %s" % encoding) |
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65 |
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66 base = kwargs.get('base') or sink.absolutize( |
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67 source.getPublicId() or source.getSystemId() or "") |
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68 context_data = kwargs.get('context') |
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69 if not context_data and isinstance(source, URLInputSource): |
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70 context_data = context_from_urlinputsource(source) |
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71 produce_generalized_rdf = kwargs.get('produce_generalized_rdf', False) |
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72 |
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73 data = source_to_json(source) |
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74 conj_sink = ConjunctiveGraph( |
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75 store=sink.store, identifier=sink.identifier) |
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76 to_rdf(data, conj_sink, base, context_data) |
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77 |
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78 |
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79 def to_rdf(data, graph, base=None, context_data=None, |
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80 produce_generalized_rdf=False, |
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81 allow_lists_of_lists=None): |
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82 # TODO: docstring w. args and return value |
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83 context=Context(base=base) |
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84 if context_data: |
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85 context.load(context_data) |
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86 parser = Parser(generalized_rdf=produce_generalized_rdf, |
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87 allow_lists_of_lists=allow_lists_of_lists) |
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88 return parser.parse(data, context, graph) |
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89 |
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90 |
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91 class Parser(object): |
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92 |
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93 def __init__(self, generalized_rdf=False, allow_lists_of_lists=None): |
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94 self.generalized_rdf = generalized_rdf |
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95 self.allow_lists_of_lists = (allow_lists_of_lists |
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96 if allow_lists_of_lists is not None else ALLOW_LISTS_OF_LISTS) |
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97 |
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98 def parse(self, data, context, graph): |
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99 topcontext = False |
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100 |
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101 if isinstance(data, list): |
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102 resources = data |
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103 elif isinstance(data, dict): |
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104 l_ctx = data.get(CONTEXT) |
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105 if l_ctx: |
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106 context.load(l_ctx, context.base) |
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107 topcontext = True |
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108 resources = data |
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109 if not isinstance(resources, list): |
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110 resources = [resources] |
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111 |
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112 if context.vocab: |
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113 graph.bind(None, context.vocab) |
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114 for name, term in list(context.terms.items()): |
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115 if term.id and term.id.endswith(VOCAB_DELIMS): |
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116 graph.bind(name, term.id) |
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117 |
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118 for node in resources: |
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119 self._add_to_graph(graph, graph, context, node, topcontext) |
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120 |
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121 return graph |
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122 |
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123 |
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124 def _add_to_graph(self, dataset, graph, context, node, topcontext=False): |
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125 if not isinstance(node, dict) or context.get_value(node): |
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126 return |
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127 |
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128 if CONTEXT in node and not topcontext: |
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129 l_ctx = node.get(CONTEXT) |
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130 if l_ctx: |
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131 context = context.subcontext(l_ctx) |
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132 else: |
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133 context = Context(base=context.doc_base) |
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134 |
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135 id_val = context.get_id(node) |
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136 if isinstance(id_val, str): |
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137 subj = self._to_rdf_id(context, id_val) |
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138 else: |
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139 subj = BNode() |
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140 |
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141 if subj is None: |
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142 return None |
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143 |
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144 for key, obj in list(node.items()): |
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145 if key in (CONTEXT, ID, context.get_key(ID)): |
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146 continue |
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147 if key in (REV, context.get_key(REV)): |
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148 for rkey, robj in list(obj.items()): |
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149 self._key_to_graph(dataset, graph, context, subj, rkey, robj, True) |
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150 else: |
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151 self._key_to_graph(dataset, graph, context, subj, key, obj) |
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152 |
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153 return subj |
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154 |
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155 |
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156 def _key_to_graph(self, dataset, graph, context, subj, key, obj, reverse=False): |
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157 |
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158 if isinstance(obj, list): |
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159 obj_nodes = obj |
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160 else: |
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161 obj_nodes = [obj] |
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162 |
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163 term = context.terms.get(key) |
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164 if term: |
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165 term_id = term.id |
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166 if term.container == LIST: |
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167 obj_nodes = [{LIST: obj_nodes}] |
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168 elif isinstance(obj, dict): |
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169 if term.container == INDEX: |
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170 obj_nodes = [] |
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171 for values in list(obj.values()): |
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172 if not isinstance(values, list): |
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173 obj_nodes.append(values) |
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174 else: |
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175 obj_nodes += values |
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176 elif term.container == LANG: |
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177 obj_nodes = [] |
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178 for lang, values in list(obj.items()): |
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179 if not isinstance(values, list): |
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180 values = [values] |
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181 for v in values: |
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182 obj_nodes.append((v, lang)) |
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183 else: |
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184 term_id = None |
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185 |
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186 if TYPE in (key, term_id): |
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187 term = TYPE_TERM |
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188 elif GRAPH in (key, term_id): |
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189 #assert graph.context_aware |
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190 subgraph = dataset.get_context(subj) |
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191 for onode in obj_nodes: |
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192 self._add_to_graph(dataset, subgraph, context, onode) |
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193 return |
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194 elif SET in (key, term_id): |
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195 for onode in obj_nodes: |
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196 self._add_to_graph(dataset, graph, context, onode) |
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197 return |
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198 |
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199 pred_uri = term.id if term else context.expand(key) |
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200 |
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201 flattened = [] |
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202 for obj in obj_nodes: |
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203 if isinstance(obj, dict): |
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204 objs = context.get_set(obj) |
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205 if objs is not None: |
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206 obj = objs |
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207 if isinstance(obj, list): |
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208 flattened += obj |
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209 continue |
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210 flattened.append(obj) |
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211 obj_nodes = flattened |
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212 |
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213 if not pred_uri: |
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214 return |
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215 |
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216 if term and term.reverse: |
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217 reverse = not reverse |
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218 |
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219 bid = self._get_bnodeid(pred_uri) |
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220 if bid: |
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221 if not self.generalized_rdf: |
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222 return |
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223 pred = BNode(bid) |
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224 else: |
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225 pred = URIRef(pred_uri) |
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226 for obj_node in obj_nodes: |
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227 obj = self._to_object(dataset, graph, context, term, obj_node) |
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228 if obj is None: |
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229 continue |
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230 if reverse: |
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231 graph.add((obj, pred, subj)) |
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232 else: |
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233 graph.add((subj, pred, obj)) |
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234 |
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235 |
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236 def _to_object(self, dataset, graph, context, term, node, inlist=False): |
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237 |
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238 if node is None: |
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239 return |
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240 |
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241 if isinstance(node, tuple): |
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242 value, lang = node |
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243 if value is None: |
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244 return |
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245 return Literal(value, lang=lang) |
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246 |
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247 if isinstance(node, dict): |
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248 node_list = context.get_list(node) |
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249 if node_list is not None: |
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250 if inlist and not self.allow_lists_of_lists: |
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251 return |
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252 listref = self._add_list(dataset, graph, context, term, node_list) |
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253 if listref: |
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254 return listref |
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255 |
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256 else: # expand.. |
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257 if not term or not term.type: |
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258 if isinstance(node, float): |
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259 return Literal(node, datatype=XSD.double) |
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260 if term and term.language is not UNDEF: |
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261 lang = term.language |
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262 else: |
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263 lang = context.language |
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264 return Literal(node, lang=lang) |
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265 else: |
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266 if term.type == ID: |
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267 node = {ID: context.resolve(node)} |
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268 elif term.type == VOCAB: |
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269 node = {ID: context.expand(node) or context.resolve_iri(node)} |
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270 else: |
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271 node = {TYPE: term.type, |
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272 VALUE: node} |
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273 |
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274 lang = context.get_language(node) |
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275 if lang or context.get_key(VALUE) in node or VALUE in node: |
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276 value = context.get_value(node) |
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277 if value is None: |
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278 return None |
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279 datatype = not lang and context.get_type(node) or None |
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280 if lang: |
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281 return Literal(value, lang=lang) |
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282 elif datatype: |
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283 return Literal(value, datatype=context.expand(datatype)) |
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284 else: |
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285 return Literal(value) |
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286 else: |
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287 return self._add_to_graph(dataset, graph, context, node) |
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288 |
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289 |
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290 def _to_rdf_id(self, context, id_val): |
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291 bid = self._get_bnodeid(id_val) |
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292 if bid: |
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293 return BNode(bid) |
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294 else: |
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295 uri = context.resolve(id_val) |
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296 if not self.generalized_rdf and ':' not in uri: |
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297 return None |
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298 return URIRef(uri) |
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299 |
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300 |
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301 def _get_bnodeid(self, ref): |
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302 if not ref.startswith('_:'): |
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303 return |
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304 bid = ref.split('_:', 1)[-1] |
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305 return bid or None |
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306 |
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307 |
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308 def _add_list(self, dataset, graph, context, term, node_list): |
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309 if not isinstance(node_list, list): |
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310 node_list = [node_list] |
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311 first_subj = BNode() |
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312 subj, rest = first_subj, None |
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313 for node in node_list: |
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314 if node is None: |
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315 continue |
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316 if rest: |
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317 graph.add((subj, RDF.rest, rest)) |
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318 subj = rest |
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319 obj = self._to_object(dataset, graph, context, term, node, inlist=True) |
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320 if obj is None: |
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321 continue |
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322 graph.add((subj, RDF.first, obj)) |
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323 rest = BNode() |
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324 if rest: |
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325 graph.add((subj, RDF.rest, RDF.nil)) |
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326 return first_subj |
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327 else: |
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328 return RDF.nil |