Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/schema_salad-7.1.20210316164414.dist-info/METADATA @ 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 Metadata-Version: 2.1 |
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2 Name: schema-salad |
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3 Version: 7.1.20210316164414 |
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4 Summary: Schema Annotations for Linked Avro Data (SALAD) |
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5 Home-page: https://github.com/common-workflow-language/schema_salad |
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6 Author: Common workflow language working group |
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7 Author-email: common-workflow-language@googlegroups.com |
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8 License: Apache 2.0 |
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9 Download-URL: https://github.com/common-workflow-language/schema_salad/releases |
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10 Platform: UNKNOWN |
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11 Classifier: Environment :: Console |
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12 Classifier: Intended Audience :: Science/Research |
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13 Classifier: License :: OSI Approved :: Apache Software License |
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14 Classifier: Operating System :: POSIX |
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15 Classifier: Operating System :: MacOS :: MacOS X |
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16 Classifier: Operating System :: Microsoft :: Windows |
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17 Classifier: Development Status :: 5 - Production/Stable |
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18 Classifier: Programming Language :: Python :: 3.6 |
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19 Classifier: Programming Language :: Python :: 3.7 |
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20 Classifier: Programming Language :: Python :: 3.8 |
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21 Classifier: Programming Language :: Python :: 3.9 |
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22 Classifier: Typing :: Typed |
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23 Requires-Python: >=3.6 |
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24 Description-Content-Type: text/x-rst |
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25 Requires-Dist: setuptools |
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26 Requires-Dist: requests (>=1.0) |
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27 Requires-Dist: ruamel.yaml (<=0.16.5,>=0.12.4) |
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28 Requires-Dist: rdflib (<=5.0.0,>=4.2.2) |
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29 Requires-Dist: rdflib-jsonld (<0.6.0,>=0.3.0) |
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30 Requires-Dist: mistune (<0.9,>=0.8.1) |
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31 Requires-Dist: CacheControl (<0.12,>=0.11.7) |
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32 Requires-Dist: lockfile (>=0.9) |
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33 Requires-Dist: typing-extensions |
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34 Provides-Extra: docs |
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35 Requires-Dist: sphinx (>=2.2) ; extra == 'docs' |
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36 Requires-Dist: sphinx-rtd-theme ; extra == 'docs' |
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37 Requires-Dist: pytest (<7) ; extra == 'docs' |
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38 |
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39 |Linux Build Status| |Windows Build status| |Code coverage| |CII Best Practices| |
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40 |
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41 .. |Linux Build Status| image:: https://github.com/common-workflow-language/schema-salad/actions/workflows/ci-tests.yml/badge.svg?branch=main |
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42 :target: https://github.com/common-workflow-language/schema-salad/actions/workflows/ci-tests.yml |
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43 .. |Windows Build status| image:: https://img.shields.io/appveyor/ci/mr-c/schema-salad/main.svg?label=windows%20build |
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44 :target: https://ci.appveyor.com/project/mr-c/schema-salad/branch/main |
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45 .. |Code coverage| image:: https://codecov.io/gh/common-workflow-language/schema_salad/branch/main/graph/badge.svg |
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46 :target: https://codecov.io/gh/common-workflow-language/schema_salad |
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47 .. |CII Best Practices| image:: https://bestpractices.coreinfrastructure.org/projects/1867/badge |
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48 :target: https://bestpractices.coreinfrastructure.org/projects/1867 |
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49 |
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50 Schema Salad |
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51 ------------ |
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52 |
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53 Salad is a schema language for describing JSON or YAML structured |
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54 linked data documents. Salad schema describes rules for |
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55 preprocessing, structural validation, and hyperlink checking for |
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56 documents described by a Salad schema. Salad supports rich data |
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57 modeling with inheritance, template specialization, object |
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58 identifiers, object references, documentation generation, code |
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59 generation, and transformation to RDF_. Salad provides a bridge |
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60 between document and record oriented data modeling and the Semantic |
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61 Web. |
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62 |
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63 The Schema Salad library is Python 3.6+ only. |
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64 |
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65 Usage |
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66 ----- |
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67 |
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68 :: |
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69 |
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70 $ pip install schema_salad |
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71 |
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72 To install from source:: |
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73 |
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74 git clone https://github.com/common-workflow-language/schema_salad |
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75 cd schema_salad |
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76 python3 setup.py install |
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77 |
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78 Commands |
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79 -------- |
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80 |
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81 Schema salad can be used as a command line tool or imported as a Python module:: |
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82 |
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83 $ schema-salad-tool |
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84 usage: schema-salad-tool [-h] [--rdf-serializer RDF_SERIALIZER] |
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85 [--print-jsonld-context | --print-rdfs | --print-avro |
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86 | --print-rdf | --print-pre | --print-index |
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87 | --print-metadata | --print-inheritance-dot |
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88 | --print-fieldrefs-dot | --codegen language |
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89 | --print-oneline] |
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90 [--strict | --non-strict] [--verbose | --quiet |
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91 | --debug] |
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92 [--version] |
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93 [schema] [document] |
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94 |
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95 $ python |
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96 >>> import schema_salad |
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97 |
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98 Validate a schema:: |
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99 |
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100 $ schema-salad-tool myschema.yml |
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101 |
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102 Validate a document using a schema:: |
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103 |
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104 $ schema-salad-tool myschema.yml mydocument.yml |
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105 |
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106 Generate HTML documentation:: |
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107 |
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108 $ schema-salad-tool myschema.yml > myschema.html |
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109 |
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110 Get JSON-LD context:: |
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111 |
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112 $ schema-salad-tool --print-jsonld-context myschema.yml mydocument.yml |
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113 |
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114 Convert a document to JSON-LD:: |
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115 |
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116 $ schema-salad-tool --print-pre myschema.yml mydocument.yml > mydocument.jsonld |
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117 |
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118 Generate Python classes for loading/generating documents described by the schema:: |
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119 |
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120 $ schema-salad-tool --codegen=python myschema.yml > myschema.py |
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121 |
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122 Display inheritance relationship between classes as a graphviz 'dot' file and |
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123 render as SVG:: |
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124 |
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125 $ schema-salad-tool --print-inheritance-dot myschema.yml | dot -Tsvg > myschema.svg |
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126 |
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127 |
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128 Quick Start |
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129 ----------- |
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130 |
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131 Let's say you have a 'basket' record that can contain items measured either by |
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132 weight or by count. Here's an example:: |
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133 |
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134 basket: |
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135 - product: bananas |
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136 price: 0.39 |
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137 per: pound |
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138 weight: 1 |
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139 - product: cucumbers |
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140 price: 0.79 |
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141 per: item |
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142 count: 3 |
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143 |
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144 We want to validate that all the expected fields are present, the |
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145 measurement is known, and that "count" cannot be a fractional value. |
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146 Here is an example schema to do that:: |
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147 |
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148 - name: Product |
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149 doc: | |
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150 The base type for a product. This is an abstract type, so it |
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151 can't be used directly, but can be used to define other types. |
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152 type: record |
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153 abstract: true |
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154 fields: |
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155 product: string |
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156 price: float |
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157 |
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158 - name: ByWeight |
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159 doc: | |
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160 A product, sold by weight. Products may be sold by pound or by |
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161 kilogram. Weights may be fractional. |
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162 type: record |
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163 extends: Product |
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164 fields: |
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165 per: |
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166 type: |
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167 type: enum |
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168 symbols: |
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169 - pound |
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170 - kilogram |
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171 jsonldPredicate: '#per' |
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172 weight: float |
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173 |
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174 - name: ByCount |
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175 doc: | |
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176 A product, sold by count. The count must be a integer value. |
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177 type: record |
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178 extends: Product |
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179 fields: |
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180 per: |
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181 type: |
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182 type: enum |
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183 symbols: |
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184 - item |
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185 jsonldPredicate: '#per' |
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186 count: int |
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187 |
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188 - name: Basket |
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189 doc: | |
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190 A basket of products. The 'documentRoot' field indicates it is a |
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191 valid starting point for a document. The 'basket' field will |
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192 validate subtypes of 'Product' (ByWeight and ByCount). |
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193 type: record |
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194 documentRoot: true |
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195 fields: |
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196 basket: |
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197 type: |
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198 type: array |
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199 items: Product |
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200 |
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201 You can check the schema and document in schema_salad/tests/basket_schema.yml |
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202 and schema_salad/tests/basket.yml:: |
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203 |
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204 $ schema-salad-tool basket_schema.yml basket.yml |
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205 Document `basket.yml` is valid |
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206 |
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207 |
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208 Documentation |
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209 ------------- |
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210 |
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211 See the specification_ and the metaschema_ (salad schema for itself). For an |
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212 example application of Schema Salad see the Common Workflow Language_. |
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213 |
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214 |
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215 Rationale |
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216 --------- |
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217 |
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218 The JSON data model is an popular way to represent structured data. It is |
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219 attractive because of it's relative simplicity and is a natural fit with the |
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220 standard types of many programming languages. However, this simplicity comes |
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221 at the cost that basic JSON lacks expressive features useful for working with |
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222 complex data structures and document formats, such as schemas, object |
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223 references, and namespaces. |
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224 |
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225 JSON-LD is a W3C standard providing a way to describe how to interpret a JSON |
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226 document as Linked Data by means of a "context". JSON-LD provides a powerful |
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227 solution for representing object references and namespaces in JSON based on |
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228 standard web URIs, but is not itself a schema language. Without a schema |
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229 providing a well defined structure, it is difficult to process an arbitrary |
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230 JSON-LD document as idiomatic JSON because there are many ways to express the |
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231 same data that are logically equivalent but structurally distinct. |
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232 |
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233 Several schema languages exist for describing and validating JSON data, such as |
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234 JSON Schema and Apache Avro data serialization system, however none |
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235 understand linked data. As a result, to fully take advantage of JSON-LD to |
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236 build the next generation of linked data applications, one must maintain |
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237 separate JSON schema, JSON-LD context, RDF schema, and human documentation, |
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238 despite significant overlap of content and obvious need for these documents to |
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239 stay synchronized. |
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240 |
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241 Schema Salad is designed to address this gap. It provides a schema language |
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242 and processing rules for describing structured JSON content permitting URI |
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243 resolution and strict document validation. The schema language supports linked |
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244 data through annotations that describe the linked data interpretation of the |
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245 content, enables generation of JSON-LD context and RDF schema, and production |
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246 of RDF triples by applying the JSON-LD context. The schema language also |
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247 provides for robust support of inline documentation. |
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248 |
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249 .. _JSON-LD: http://json-ld.org |
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250 .. _Avro: http://avro.apache.org |
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251 .. _metaschema: https://github.com/common-workflow-language/schema_salad/blob/main/schema_salad/metaschema/metaschema.yml |
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252 .. _specification: http://www.commonwl.org/v1.0/SchemaSalad.html |
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253 .. _Language: https://github.com/common-workflow-language/common-workflow-language/blob/main/v1.0/CommandLineTool.yml |
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254 .. _RDF: https://www.w3.org/RDF/ |
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255 |
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256 |