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+Metadata-Version: 2.1
+Name: schema-salad
+Version: 4.5.20191229160203
+Summary: Schema Annotations for Linked Avro Data (SALAD)
+Home-page: https://github.com/common-workflow-language/schema_salad
+Author: Common workflow language working group
+Author-email: common-workflow-language@googlegroups.com
+License: Apache 2.0
+Download-URL: https://github.com/common-workflow-language/schema_salad/releases
+Platform: UNKNOWN
+Classifier: Environment :: Console
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: Apache Software License
+Classifier: Operating System :: POSIX
+Classifier: Operating System :: MacOS :: MacOS X
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Programming Language :: Python :: 2.7
+Classifier: Programming Language :: Python :: 3.5
+Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Typing :: Typed
+Description-Content-Type: text/x-rst
+Requires-Dist: setuptools
+Requires-Dist: requests (>=1.0)
+Requires-Dist: ruamel.yaml (<=0.16,>=0.12.4)
+Requires-Dist: rdflib (<4.3.0,>=4.2.2)
+Requires-Dist: rdflib-jsonld (<0.5.0,>=0.3.0)
+Requires-Dist: mistune (<0.9,>=0.8.1)
+Requires-Dist: CacheControl (<0.12,>=0.11.7)
+Requires-Dist: lockfile (>=0.9)
+Requires-Dist: six (>=1.8.0)
+Requires-Dist: typing-extensions
+Requires-Dist: future
+Requires-Dist: typing (>=3.7.4) ; python_version<"3.5"
+Provides-Extra: docs
+Requires-Dist: sphinx (>=2.2) ; extra == 'docs'
+Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
+Requires-Dist: pytest ; extra == 'docs'
+
+|Linux Build Status| |Windows Build status| |Code coverage| |CII Best Practices|
+
+.. |Linux Build Status| image:: https://img.shields.io/travis/common-workflow-language/schema_salad/master.svg?label=unix%20build
+   :target: https://travis-ci.org/common-workflow-language/schema_salad
+.. |Windows Build status| image:: https://img.shields.io/appveyor/ci/mr-c/schema-salad/master.svg?label=windows%20build
+   :target: https://ci.appveyor.com/project/mr-c/schema-salad/branch/master
+.. |Code coverage| image:: https://codecov.io/gh/common-workflow-language/schema_salad/branch/master/graph/badge.svg
+   :target: https://codecov.io/gh/common-workflow-language/schema_salad
+.. |CII Best Practices| image:: https://bestpractices.coreinfrastructure.org/projects/1867/badge
+   :target: https://bestpractices.coreinfrastructure.org/projects/1867
+
+Schema Salad
+------------
+
+Salad is a schema language for describing JSON or YAML structured
+linked data documents.  Salad schema describes rules for
+preprocessing, structural validation, and hyperlink checking for
+documents described by a Salad schema. Salad supports rich data
+modeling with inheritance, template specialization, object
+identifiers, object references, documentation generation, code
+generation, and transformation to RDF_. Salad provides a bridge
+between document and record oriented data modeling and the Semantic
+Web.
+
+Usage
+-----
+
+::
+
+   $ pip install schema_salad
+
+To install from source::
+
+  git clone https://github.com/common-workflow-language/schema_salad
+  cd schema_salad
+  python setup.py install
+
+Commands
+--------
+
+Schema salad can be used as a command line tool or imported as a Python module::
+
+   $ schema-salad-tool
+   usage: schema-salad-tool [-h] [--rdf-serializer RDF_SERIALIZER]
+                         [--print-jsonld-context | --print-rdfs | --print-avro
+                         | --print-rdf | --print-pre | --print-index
+                         | --print-metadata | --print-inheritance-dot
+                         | --print-fieldrefs-dot | --codegen language
+                         | --print-oneline]
+                         [--strict | --non-strict] [--verbose | --quiet
+                         | --debug]
+                         [--version]
+                         [schema] [document]
+
+   $ python
+   >>> import schema_salad
+
+Validate a schema::
+
+   $ schema-salad-tool myschema.yml
+
+Validate a document using a schema::
+
+   $ schema-salad-tool myschema.yml mydocument.yml
+
+Generate HTML documentation::
+
+   $ schema-salad-tool myschema.yml > myschema.html
+
+Get JSON-LD context::
+
+   $ schema-salad-tool --print-jsonld-context myschema.yml mydocument.yml
+
+Convert a document to JSON-LD::
+
+   $ schema-salad-tool --print-pre myschema.yml mydocument.yml > mydocument.jsonld
+
+Generate Python classes for loading/generating documents described by the schema::
+
+   $ schema-salad-tool --codegen=python myschema.yml > myschema.py
+
+Display inheritance relationship between classes as a graphviz 'dot' file and
+render as SVG::
+
+   $ schema-salad-tool --print-inheritance-dot myschema.yml | dot -Tsvg > myschema.svg
+
+
+Quick Start
+-----------
+
+Let's say you have a 'basket' record that can contain items measured either by
+weight or by count.  Here's an example::
+
+   basket:
+     - product: bananas
+       price: 0.39
+       per: pound
+       weight: 1
+     - product: cucumbers
+       price: 0.79
+       per: item
+       count: 3
+
+We want to validate that all the expected fields are present, the
+measurement is known, and that "count" cannot be a fractional value.
+Here is an example schema to do that::
+
+   - name: Product
+     doc: |
+       The base type for a product.  This is an abstract type, so it
+       can't be used directly, but can be used to define other types.
+     type: record
+     abstract: true
+     fields:
+       product: string
+       price: float
+
+   - name: ByWeight
+     doc: |
+       A product, sold by weight.  Products may be sold by pound or by
+       kilogram.  Weights may be fractional.
+     type: record
+     extends: Product
+     fields:
+       per:
+         type:
+           type: enum
+           symbols:
+             - pound
+             - kilogram
+         jsonldPredicate: '#per'
+       weight: float
+
+   - name: ByCount
+     doc: |
+       A product, sold by count.  The count must be a integer value.
+     type: record
+     extends: Product
+     fields:
+       per:
+         type:
+           type: enum
+           symbols:
+             - item
+         jsonldPredicate: '#per'
+       count: int
+
+   - name: Basket
+     doc: |
+       A basket of products.  The 'documentRoot' field indicates it is a
+       valid starting point for a document.  The 'basket' field will
+       validate subtypes of 'Product' (ByWeight and ByCount).
+     type: record
+     documentRoot: true
+     fields:
+       basket:
+         type:
+           type: array
+           items: Product
+
+You can check the schema and document in schema_salad/tests/basket_schema.yml
+and schema_salad/tests/basket.yml::
+
+   $ schema-salad-tool basket_schema.yml basket.yml
+   Document `basket.yml` is valid
+
+
+Documentation
+-------------
+
+See the specification_ and the metaschema_ (salad schema for itself).  For an
+example application of Schema Salad see the Common Workflow Language_.
+
+
+Rationale
+---------
+
+The JSON data model is an popular way to represent structured data.  It is
+attractive because of it's relative simplicity and is a natural fit with the
+standard types of many programming languages.  However, this simplicity comes
+at the cost that basic JSON lacks expressive features useful for working with
+complex data structures and document formats, such as schemas, object
+references, and namespaces.
+
+JSON-LD is a W3C standard providing a way to describe how to interpret a JSON
+document as Linked Data by means of a "context".  JSON-LD provides a powerful
+solution for representing object references and namespaces in JSON based on
+standard web URIs, but is not itself a schema language.  Without a schema
+providing a well defined structure, it is difficult to process an arbitrary
+JSON-LD document as idiomatic JSON because there are many ways to express the
+same data that are logically equivalent but structurally distinct.
+
+Several schema languages exist for describing and validating JSON data, such as
+JSON Schema and Apache Avro data serialization system, however none
+understand linked data.  As a result, to fully take advantage of JSON-LD to
+build the next generation of linked data applications, one must maintain
+separate JSON schema, JSON-LD context, RDF schema, and human documentation,
+despite significant overlap of content and obvious need for these documents to
+stay synchronized.
+
+Schema Salad is designed to address this gap.  It provides a schema language
+and processing rules for describing structured JSON content permitting URI
+resolution and strict document validation.  The schema language supports linked
+data through annotations that describe the linked data interpretation of the
+content, enables generation of JSON-LD context and RDF schema, and production
+of RDF triples by applying the JSON-LD context.  The schema language also
+provides for robust support of inline documentation.
+
+.. _JSON-LD: http://json-ld.org
+.. _Avro: http://avro.apache.org
+.. _metaschema: https://github.com/common-workflow-language/schema_salad/blob/master/schema_salad/metaschema/metaschema.yml
+.. _specification: http://www.commonwl.org/v1.0/SchemaSalad.html
+.. _Language: https://github.com/common-workflow-language/common-workflow-language/blob/master/v1.0/CommandLineTool.yml
+.. _RDF: https://www.w3.org/RDF/
+
+