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annotate planemo/lib/python3.7/site-packages/rdflib/plugins/parsers/structureddata.py @ 1:56ad4e20f292 draft

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"planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
author guerler
date Fri, 31 Jul 2020 00:32:28 -0400
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1
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1 #!/usr/bin/env python
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2 """
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3 Extraction parsers for structured data embedded into HTML or XML files.
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4 The former may include RDFa or microdata. The syntax and the extraction
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5 procedures are based on:
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6
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7 * The RDFa specifications: http://www.w3.org/TR/#tr_RDFa
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8 * The microdata specification: http://www.w3.org/TR/microdata/
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9 * The specification of the microdata to RDF conversion:
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10 http://www.w3.org/TR/microdata-rdf/
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11
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12 License: W3C Software License,
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13 http://www.w3.org/Consortium/Legal/copyright-software
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14 Author: Ivan Herman
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15 Copyright: W3C
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16
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17 """
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18
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19 from rdflib.parser import (
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20 Parser, StringInputSource, URLInputSource, FileInputSource)
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21
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22 try:
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23 import html5lib
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24 assert html5lib
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25 html5lib = True
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26 except ImportError:
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27 import warnings
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28 warnings.warn(
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29 'html5lib not found! RDFa and Microdata ' +
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30 'parsers will not be available.')
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31 html5lib = False
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32
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33
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34 def _get_orig_source(source):
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35 """
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36 A bit of a hack; the RDFa/microdata parsers need more than what the
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37 upper layers of RDFLib provide...
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38 This method returns the original source references.
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39 """
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40 if isinstance(source, StringInputSource):
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41 orig_source = source.getByteStream()
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42 elif isinstance(source, URLInputSource):
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43 orig_source = source.url
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44 elif isinstance(source, FileInputSource):
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45 orig_source = source.file.name
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46 source.file.close()
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47 else:
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48 orig_source = source.getByteStream()
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49 baseURI = source.getPublicId()
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50 return (baseURI, orig_source)
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51
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52
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53 def _check_error(graph):
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54 from .pyRdfa import RDFA_Error, ns_rdf
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55 from .pyRdfa.options import ns_dc
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56 for (s, p, o) in graph.triples((None, ns_rdf["type"], RDFA_Error)):
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57 for (x, y, msg) in graph.triples((s, ns_dc["description"], None)):
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58 raise Exception("RDFa parsing Error! %s" % msg)
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59
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60
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61 # This is the parser interface as it would look when called from the
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62 # rest of RDFLib
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63 class RDFaParser(Parser):
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64 """
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65 Wrapper around the RDFa 1.1 parser. For further details on the RDFa 1.1
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66 processing, see the relevant W3C documents at
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67 http://www.w3.org/TR/#tr_RDFa. RDFa 1.1 is defined for XHTML, HTML5, SVG
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68 and, in general, for any XML language.
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69
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70 Note that the parser can also handle RDFa 1.0 if the extra parameter is
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71 used and/or the input source uses RDFa 1.0 specific @version or DTD-s.
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72 """
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73 def parse(self, source, graph,
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74 pgraph=None,
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75 media_type="",
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76 rdfa_version=None,
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77 embedded_rdf=False,
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78 space_preserve=True,
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79 vocab_expansion=False,
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80 vocab_cache=False,
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81 refresh_vocab_cache=False,
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82 vocab_cache_report=False,
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83 check_lite=False):
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84 """
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85 @param source: one of the input sources that the RDFLib package defined
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86 @type source: InputSource class instance
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87 @param graph: target graph for the triples; output graph, in RDFa spec.
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88 parlance
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89 @type graph: RDFLib Graph
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90 @keyword pgraph: target for error and warning triples; processor graph,
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91 in RDFa spec. parlance. If set to None, these triples are ignored
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92 @type pgraph: RDFLib Graph
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93 @keyword media_type: explicit setting of the preferred media type
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94 (a.k.a. content type) of the the RDFa source. None means the content
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95 type of the HTTP result is used, or a guess is made based on the
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96 suffix of a file
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97 @type media_type: string
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98 @keyword rdfa_version: 1.0 or 1.1. If the value is "", then, by
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99 default, 1.1 is used unless the source has explicit signals to use
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100 1.0 (e.g., using a @version attribute, using a DTD set up for 1.0, etc)
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101 @type rdfa_version: string
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102 @keyword embedded_rdf: some formats allow embedding RDF in other
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103 formats: (X)HTML can contain turtle in a special <script> element,
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104 SVG can have RDF/XML embedded in a <metadata> element. This flag
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105 controls whether those triples should be interpreted and added to
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106 the output graph. Some languages (e.g., SVG) require this, and the
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107 flag is ignored.
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108 @type embedded_rdf: Boolean
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109 @keyword space_preserve: by default, space in the HTML source must be preserved in the generated literal;
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110 this behavior can be switched off
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111 @type space_preserve: Boolean
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112 @keyword vocab_expansion: whether the RDFa @vocab attribute should
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113 also mean vocabulary expansion (see the RDFa 1.1 spec for further
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114 details)
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115 @type vocab_expansion: Boolean
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116 @keyword vocab_cache: in case vocab expansion is used, whether the
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117 expansion data (i.e., vocabulary) should be cached locally. This
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118 requires the ability for the local application to write on the
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119 local file system
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120 @type vocab_chache: Boolean
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121 @keyword vocab_cache_report: whether the details of vocabulary file caching process should be reported
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122 in the processor graph as information (mainly useful for debug)
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123 @type vocab_cache_report: Boolean
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124 @keyword refresh_vocab_cache: whether the caching checks of vocabs should be by-passed, ie, if caches should be re-generated regardless of the stored date (important for vocab development)
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125 @type refresh_vocab_cache: Boolean
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126 @keyword check_lite: generate extra warnings in case the input source is not RDFa 1.1 check_lite
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127 @type check_lite: Boolean
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128 """
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129
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130 if html5lib is False:
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131 raise ImportError(
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132 'html5lib is not installed, cannot use ' +
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133 'RDFa and Microdata parsers.')
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134
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135 (baseURI, orig_source) = _get_orig_source(source)
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136 self._process(graph, pgraph, baseURI, orig_source,
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137 media_type=media_type,
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138 rdfa_version=rdfa_version,
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139 embedded_rdf=embedded_rdf,
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140 space_preserve=space_preserve,
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141 vocab_expansion=vocab_expansion,
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142 vocab_cache=vocab_cache,
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143 vocab_cache_report=vocab_cache_report,
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144 refresh_vocab_cache=refresh_vocab_cache,
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145 check_lite=check_lite
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146 )
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147
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148 def _process(self, graph, pgraph, baseURI, orig_source,
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149 media_type="",
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150 rdfa_version=None,
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151 embedded_rdf=False,
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152 space_preserve=True,
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153 vocab_expansion=False,
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154 vocab_cache=False,
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155 vocab_cache_report=False,
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156 refresh_vocab_cache=False,
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157 check_lite=False):
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158 from .pyRdfa import pyRdfa, Options
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159 from rdflib import Graph
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160 processor_graph = pgraph if pgraph is not None else Graph()
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161 self.options = Options(output_processor_graph=True,
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162 embedded_rdf=embedded_rdf,
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163 space_preserve=space_preserve,
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164 vocab_expansion=vocab_expansion,
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165 vocab_cache=vocab_cache,
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166 vocab_cache_report=vocab_cache_report,
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167 refresh_vocab_cache=refresh_vocab_cache,
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168 check_lite=check_lite)
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169
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170 if media_type is None:
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171 media_type = ""
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172 processor = pyRdfa(self.options,
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173 base=baseURI,
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174 media_type=media_type,
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175 rdfa_version=rdfa_version)
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176 processor.graph_from_source(orig_source, graph=graph, pgraph=processor_graph, rdfOutput=False)
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177 # This may result in an exception if the graph parsing led to an error
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178 _check_error(processor_graph)
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179
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180
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181 class RDFa10Parser(Parser):
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182 """
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183 This is just a convenience class to wrap around the RDFa 1.0 parser.
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184 """
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185 def parse(self, source, graph, pgraph=None, media_type=""):
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186 """
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187 @param source: one of the input sources that the RDFLib package defined
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188 @type source: InputSource class instance
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189 @param graph: target graph for the triples; output graph, in RDFa
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190 spec. parlance
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191 @type graph: RDFLib Graph
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192 @keyword pgraph: target for error and warning triples; processor
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193 graph, in RDFa spec. parlance. If set to None, these triples are
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194 ignored
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195 @type pgraph: RDFLib Graph
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196 @keyword media_type: explicit setting of the preferred media type
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197 (a.k.a. content type) of the the RDFa source. None means the content
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198 type of the HTTP result is used, or a guess is made based on the
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199 suffix of a file
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200 @type media_type: string
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201 @keyword rdfOutput: whether Exceptions should be catched and added,
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202 as triples, to the processor graph, or whether they should be raised.
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203 @type rdfOutput: Boolean
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204 """
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205 RDFaParser().parse(source, graph, pgraph=pgraph,
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206 media_type=media_type, rdfa_version="1.0")
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207
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208
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209 class MicrodataParser(Parser):
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210 """
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211 Wrapper around an HTML5 microdata, extracted and converted into RDF. For
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212 the specification of microdata, see the relevant section of the HTML5
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213 spec: http://www.w3.org/TR/microdata/; for the algorithm used to extract
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214 microdata into RDF, see http://www.w3.org/TR/microdata-rdf/.
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215 """
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216 def parse(self, source, graph, vocab_expansion=False, vocab_cache=False):
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217 """
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218 @param source: one of the input sources that the RDFLib package defined
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219 @type source: InputSource class instance
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220 @param graph: target graph for the triples; output graph, in RDFa
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221 spec. parlance
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222 @type graph: RDFLib Graph
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223 @keyword vocab_expansion: whether the RDFa @vocab attribute should
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224 also mean vocabulary expansion (see the RDFa 1.1 spec for further
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225 details)
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226 @type vocab_expansion: Boolean
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227 @keyword vocab_cache: in case vocab expansion is used, whether the
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228 expansion data (i.e., vocabulary) should be cached locally. This
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229 requires the ability for the local application to write on the
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230 local file system
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231 @type vocab_chache: Boolean
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232 @keyword rdfOutput: whether Exceptions should be catched and added,
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233 as triples, to the processor graph, or whether they should be raised.
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234 @type rdfOutput: Boolean
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235 """
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236 if html5lib is False:
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237 raise ImportError(
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238 'html5lib is not installed, cannot use RDFa ' +
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239 'and Microdata parsers.')
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240
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241 (baseURI, orig_source) = _get_orig_source(source)
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242 self._process(graph, baseURI, orig_source,
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243 vocab_expansion=vocab_expansion,
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244 vocab_cache=vocab_cache)
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245
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246 def _process(self, graph, baseURI, orig_source,
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247 vocab_expansion=False, vocab_cache=False):
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248 from .pyMicrodata import pyMicrodata
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249 processor = pyMicrodata(base=baseURI, vocab_expansion=vocab_expansion,
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250 vocab_cache=vocab_cache)
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251 processor.graph_from_source(
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252 orig_source, graph=graph, rdfOutput=False)
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253
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254
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255 class StructuredDataParser(Parser):
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256 """
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257 Convenience parser to extract both RDFa (including embedded Turtle)
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258 and microdata from an HTML file.
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259 It is simply a wrapper around the specific parsers.
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260 """
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261 def parse(self, source, graph,
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262 pgraph=None,
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263 rdfa_version="",
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264 vocab_expansion=False,
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265 vocab_cache=False,
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266 media_type='text/html'
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267 ):
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268 """
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269 @param source: one of the input sources that the RDFLib package defined
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270 @type source: InputSource class instance
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271 @param graph: target graph for the triples; output graph, in RDFa
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272 spec. parlance
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273 @keyword rdfa_version: 1.0 or 1.1. If the value is "", then, by
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274 default, 1.1 is used unless the source has explicit signals to use 1.0
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275 (e.g., using a @version attribute, using a DTD set up for 1.0, etc)
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276 @type rdfa_version: string
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277 @type graph: RDFLib Graph
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278 @keyword pgraph: target for error and warning triples; processor
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279 graph, in RDFa spec. parlance. If set to None, these triples are
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280 ignored
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281 @type pgraph: RDFLib Graph
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282 @keyword vocab_expansion: whether the RDFa @vocab attribute should
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283 also mean vocabulary expansion (see the RDFa 1.1 spec for further
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284 details)
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285 @type vocab_expansion: Boolean
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286 @keyword vocab_cache: in case vocab expansion is used, whether the
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287 expansion data (i.e., vocabulary) should be cached locally. This
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288 requires the ability for the local application to write on the
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289 local file system
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290 @type vocab_chache: Boolean
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291 @keyword rdfOutput: whether Exceptions should be catched and added,
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292 as triples, to the processor graph, or whether they should be raised.
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293 @type rdfOutput: Boolean
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294 """
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295 # Note that the media_type argument is ignored, and is here only to avoid an 'unexpected argument' error.
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296 # This parser works for text/html only anyway...
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297 (baseURI, orig_source) = _get_orig_source(source)
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298 if rdfa_version == "" : rdfa_version = "1.1"
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299 RDFaParser()._process(graph, pgraph, baseURI, orig_source,
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300 media_type='text/html',
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301 rdfa_version=rdfa_version,
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302 vocab_expansion=vocab_expansion,
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303 vocab_cache=vocab_cache)
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304 MicrodataParser()._process(graph, baseURI, orig_source,
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305 vocab_expansion=vocab_expansion,
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306 vocab_cache=vocab_cache)
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307 from .hturtle import HTurtleParser
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308 HTurtleParser()._process(graph, baseURI, orig_source, media_type='text/html')