Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/rdflib_jsonld/parser.py @ 0:4f3585e2f14b draft default tip
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author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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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 ._compat import str, str |
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44 from .context import Context, Term, UNDEF |
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45 from .util import source_to_json, VOCAB_DELIMS, context_from_urlinputsource |
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46 from .keys import CONTEXT, GRAPH, ID, INDEX, LANG, LIST, REV, SET, TYPE, VALUE, VOCAB |
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47 |
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48 __all__ = ['JsonLDParser', 'to_rdf'] |
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49 |
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50 |
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51 # Add jsonld suffix so RDFLib can guess format from file name |
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52 try: |
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53 from rdflib.util import SUFFIX_FORMAT_MAP |
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54 if 'jsonld' not in SUFFIX_FORMAT_MAP: |
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55 SUFFIX_FORMAT_MAP['jsonld'] = 'application/ld+json' |
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56 except ImportError: |
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57 pass |
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58 |
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59 |
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60 TYPE_TERM = Term(str(RDF.type), TYPE, VOCAB) |
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61 |
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62 ALLOW_LISTS_OF_LISTS = True # NOTE: Not allowed in JSON-LD 1.0 |
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63 |
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64 |
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65 class JsonLDParser(Parser): |
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66 def __init__(self): |
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67 super(JsonLDParser, self).__init__() |
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68 |
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69 def parse(self, source, sink, **kwargs): |
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70 # TODO: docstring w. args and return value |
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71 encoding = kwargs.get('encoding') or 'utf-8' |
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72 if encoding not in ('utf-8', 'utf-16'): |
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73 warnings.warn("JSON should be encoded as unicode. " + |
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74 "Given encoding was: %s" % encoding) |
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75 |
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76 base = kwargs.get('base') or sink.absolutize( |
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77 source.getPublicId() or source.getSystemId() or "") |
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78 context_data = kwargs.get('context') |
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79 if not context_data and isinstance(source, URLInputSource): |
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80 context_data = context_from_urlinputsource(source) |
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81 produce_generalized_rdf = kwargs.get('produce_generalized_rdf', False) |
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82 |
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83 data = source_to_json(source) |
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84 |
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85 # NOTE: A ConjunctiveGraph parses into a Graph sink, so no sink will be |
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86 # context_aware. Keeping this check in case RDFLib is changed, or |
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87 # someone passes something context_aware to this parser directly. |
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88 if not sink.context_aware: |
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89 conj_sink = ConjunctiveGraph( |
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90 store=sink.store, |
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91 identifier=sink.identifier) |
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92 else: |
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93 conj_sink = sink |
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94 |
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95 to_rdf(data, conj_sink, base, context_data) |
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96 |
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97 |
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98 def to_rdf(data, dataset, base=None, context_data=None, |
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99 produce_generalized_rdf=False, |
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100 allow_lists_of_lists=None): |
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101 # TODO: docstring w. args and return value |
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102 context=Context(base=base) |
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103 if context_data: |
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104 context.load(context_data) |
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105 parser = Parser(generalized_rdf=produce_generalized_rdf, |
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106 allow_lists_of_lists=allow_lists_of_lists) |
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107 return parser.parse(data, context, dataset) |
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108 |
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109 |
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110 class Parser(object): |
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111 |
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112 def __init__(self, generalized_rdf=False, allow_lists_of_lists=None): |
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113 self.generalized_rdf = generalized_rdf |
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114 self.allow_lists_of_lists = (allow_lists_of_lists |
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115 if allow_lists_of_lists is not None else ALLOW_LISTS_OF_LISTS) |
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116 |
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117 def parse(self, data, context, dataset): |
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118 topcontext = False |
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119 |
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120 if isinstance(data, list): |
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121 resources = data |
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122 elif isinstance(data, dict): |
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123 l_ctx = data.get(CONTEXT) |
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124 if l_ctx: |
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125 context.load(l_ctx, context.base) |
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126 topcontext = True |
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127 resources = data |
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128 if not isinstance(resources, list): |
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129 resources = [resources] |
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130 |
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131 if context.vocab: |
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132 dataset.bind(None, context.vocab) |
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133 for name, term in list(context.terms.items()): |
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134 if term.id and term.id.endswith(VOCAB_DELIMS): |
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135 dataset.bind(name, term.id) |
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136 |
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137 graph = dataset.default_context if dataset.context_aware else dataset |
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138 |
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139 for node in resources: |
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140 self._add_to_graph(dataset, graph, context, node, topcontext) |
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141 |
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142 return graph |
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143 |
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144 |
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145 def _add_to_graph(self, dataset, graph, context, node, topcontext=False): |
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146 if not isinstance(node, dict) or context.get_value(node): |
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147 return |
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148 |
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149 if CONTEXT in node and not topcontext: |
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150 l_ctx = node.get(CONTEXT) |
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151 if l_ctx: |
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152 context = context.subcontext(l_ctx) |
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153 else: |
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154 context = Context(base=context.doc_base) |
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155 |
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156 id_val = context.get_id(node) |
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157 if isinstance(id_val, str): |
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158 subj = self._to_rdf_id(context, id_val) |
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159 else: |
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160 subj = BNode() |
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161 |
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162 if subj is None: |
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163 return None |
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164 |
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165 # NOTE: crude way to signify that this node might represent a named graph |
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166 no_id = id_val is None |
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167 |
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168 for key, obj in list(node.items()): |
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169 if key in (CONTEXT, ID) or key in context.get_keys(ID): |
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170 continue |
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171 if key == REV or key in context.get_keys(REV): |
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172 for rkey, robj in list(obj.items()): |
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173 self._key_to_graph(dataset, graph, context, subj, rkey, robj, |
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174 reverse=True, no_id=no_id) |
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175 else: |
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176 self._key_to_graph(dataset, graph, context, subj, key, obj, |
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177 no_id=no_id) |
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178 |
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179 return subj |
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180 |
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181 |
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182 def _key_to_graph(self, dataset, graph, context, subj, key, obj, |
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183 reverse=False, no_id=False): |
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184 |
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185 if isinstance(obj, list): |
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186 obj_nodes = obj |
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187 else: |
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188 obj_nodes = [obj] |
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189 |
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190 term = context.terms.get(key) |
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191 if term: |
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192 term_id = term.id |
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193 if term.container == LIST: |
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194 obj_nodes = [{LIST: obj_nodes}] |
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195 elif isinstance(obj, dict): |
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196 if term.container == INDEX: |
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197 obj_nodes = [] |
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198 for values in list(obj.values()): |
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199 if not isinstance(values, list): |
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200 obj_nodes.append(values) |
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201 else: |
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202 obj_nodes += values |
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203 elif term.container == LANG: |
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204 obj_nodes = [] |
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205 for lang, values in list(obj.items()): |
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206 if not isinstance(values, list): |
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207 values = [values] |
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208 for v in values: |
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209 obj_nodes.append((v, lang)) |
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210 else: |
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211 term_id = None |
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212 |
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213 if TYPE in (key, term_id): |
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214 term = TYPE_TERM |
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215 elif GRAPH in (key, term_id): |
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216 if dataset.context_aware and not no_id: |
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217 subgraph = dataset.get_context(subj) |
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218 else: |
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219 subgraph = graph |
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220 for onode in obj_nodes: |
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221 self._add_to_graph(dataset, subgraph, context, onode) |
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222 return |
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223 elif SET in (key, term_id): |
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224 for onode in obj_nodes: |
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225 self._add_to_graph(dataset, graph, context, onode) |
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226 return |
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227 |
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228 pred_uri = term.id if term else context.expand(key) |
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229 |
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230 flattened = [] |
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231 for obj in obj_nodes: |
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232 if isinstance(obj, dict): |
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233 objs = context.get_set(obj) |
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234 if objs is not None: |
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235 obj = objs |
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236 if isinstance(obj, list): |
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237 flattened += obj |
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238 continue |
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239 flattened.append(obj) |
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240 obj_nodes = flattened |
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241 |
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242 if not pred_uri: |
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243 return |
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244 |
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245 if term and term.reverse: |
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246 reverse = not reverse |
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247 |
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248 bid = self._get_bnodeid(pred_uri) |
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249 if bid: |
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250 if not self.generalized_rdf: |
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251 return |
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252 pred = BNode(bid) |
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253 else: |
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254 pred = URIRef(pred_uri) |
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255 for obj_node in obj_nodes: |
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256 obj = self._to_object(dataset, graph, context, term, obj_node) |
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257 if obj is None: |
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258 continue |
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259 if reverse: |
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260 graph.add((obj, pred, subj)) |
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261 else: |
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262 graph.add((subj, pred, obj)) |
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263 |
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264 |
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265 def _to_object(self, dataset, graph, context, term, node, inlist=False): |
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266 |
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267 if node is None: |
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268 return |
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269 |
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270 if isinstance(node, tuple): |
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271 value, lang = node |
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272 if value is None: |
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273 return |
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274 return Literal(value, lang=lang) |
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275 |
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276 if isinstance(node, dict): |
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277 node_list = context.get_list(node) |
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278 if node_list is not None: |
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279 if inlist and not self.allow_lists_of_lists: |
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280 return |
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281 listref = self._add_list(dataset, graph, context, term, node_list) |
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282 if listref: |
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283 return listref |
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284 |
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285 else: # expand.. |
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286 if not term or not term.type: |
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287 if isinstance(node, float): |
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288 return Literal(node, datatype=XSD.double) |
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289 if term and term.language is not UNDEF: |
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290 lang = term.language |
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291 else: |
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292 lang = context.language |
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293 return Literal(node, lang=lang) |
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294 else: |
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295 if term.type == ID: |
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296 node = {ID: context.resolve(node)} |
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297 elif term.type == VOCAB: |
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298 node = {ID: context.expand(node) or context.resolve_iri(node)} |
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299 else: |
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300 node = {TYPE: term.type, |
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301 VALUE: node} |
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302 |
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303 lang = context.get_language(node) |
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304 if lang or context.get_key(VALUE) in node or VALUE in node: |
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305 value = context.get_value(node) |
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306 if value is None: |
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307 return None |
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308 datatype = not lang and context.get_type(node) or None |
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309 if lang: |
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310 return Literal(value, lang=lang) |
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311 elif datatype: |
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312 return Literal(value, datatype=context.expand(datatype)) |
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313 else: |
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314 return Literal(value) |
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315 else: |
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316 return self._add_to_graph(dataset, graph, context, node) |
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317 |
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318 |
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319 def _to_rdf_id(self, context, id_val): |
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320 bid = self._get_bnodeid(id_val) |
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321 if bid: |
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322 return BNode(bid) |
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323 else: |
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324 uri = context.resolve(id_val) |
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325 if not self.generalized_rdf and ':' not in uri: |
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326 return None |
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327 return URIRef(uri) |
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328 |
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329 |
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330 def _get_bnodeid(self, ref): |
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331 if not ref.startswith('_:'): |
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332 return |
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333 bid = ref.split('_:', 1)[-1] |
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334 return bid or None |
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335 |
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336 |
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337 def _add_list(self, dataset, graph, context, term, node_list): |
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338 if not isinstance(node_list, list): |
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339 node_list = [node_list] |
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340 first_subj = BNode() |
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341 subj, rest = first_subj, None |
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342 for node in node_list: |
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343 if node is None: |
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344 continue |
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345 if rest: |
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346 graph.add((subj, RDF.rest, rest)) |
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347 subj = rest |
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348 obj = self._to_object(dataset, graph, context, term, node, inlist=True) |
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349 if obj is None: |
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350 continue |
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351 graph.add((subj, RDF.first, obj)) |
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352 rest = BNode() |
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353 if rest: |
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354 graph.add((subj, RDF.rest, RDF.nil)) |
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355 return first_subj |
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356 else: |
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357 return RDF.nil |