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JESS - JSON Extended Structural Schemas

The JESS language, the JESS.jq conformance checker, and the JESS script

The "J" in JESS stands for JSON, and the ESS stands for "Extended Structural Schema". JESS is so-named because it extends a simple structural schema language in which every schema mirrors the structure of its conforming documents.

A JESS schema for one or more JSON texts is itself a JSON document or a collection of such documents.

This repository contains:

  • a specification of the JESS language for JSON schemas (also available as the Wiki Home Page of this repository)
  • JESS.jq, a reference implementation of a conformance checker, written in jq
  • JESS, a wrapper script for JESS.jq
  • supporting documentation and test cases.

Table of Contents

Highlights

JESS extends the simplest possible all-JSON structural schema language in which the JSON schema for a set of documents is a single JSON document such that:

  • JSON objects are specified by objects, or generically by "object"
  • JSON arrays are specified by arrays, or generically by "array"
  • the type of each scalar other than a string is itself
  • "string" is the string type
  • "boolean" is the boolean type
  • "scalar" includes all scalars
  • "JSON" is the type of all JSON documents.

The main extensions follow naturally or are based closely on the purely functional components of the jq language.

These extensions include:

  • compound array types, e.g. [0,1] is the schema for arrays of 0-1 values;
  • union types, e.g. ["+", 0,1] is the schema for 0 or 1;
  • subtypes of "string" defined by regular expressions;
  • support for complex constraints, including referential integrity constraints, and recursive constraints;
  • user-defined named types, e.g. for different date formats.

Modularity is supported by allowing both the prelude (in which user-defined named types are defined) and the schema proper to be written as multiple JSON documents in different files.

Installation

Running the conformance checker requires jq version 1.5 or newer.

It is recommended that the JESS directory be placed in your ~/.jq/ directory so that jq will automatically be able to find it.

One way to do so is to check out this repository to directory ~/.jq/:

mkdir ~/.jq
cd ~/.jq
hg clone https://github.com/pkoppstein/JESS.git
# You may wish also to create a symlink to the JESS script, e.g. by executing:
ln -s ~/.jq/JESS/bin/JESS ~/bin

Or use the "Clone" button, or use the "Downloads" link to dowload the .zip file to ~/.jq/

Another option would be to download the JESS.jq and JESS files individually, e.g.:

mkdir -p JESS ~/bin
cd JESS
wget -N https://raw.githubusercontent.com/pkoppstein/JESS/master/JESS.jq
wget -N https://raw.githubusercontent.com/pkoppstein/JESS/master/bin/JESS
chmod +x JESS
ln -s $(pwd)/JESS ~/bin

If the JESS.jq module is not in a standard location known to jq, it may be necessary to specify the location of the JESS.jq file, e.g. on the jq or JESS command-line.

Usage

For help regarding the wrapper script, run JESS -h.

An overview of the main functions provided by JESS.jq for conformance checking is given below. For details, see the documentation in the doc folder, or this repository's Wiki.

See jq manual for how to use jq modules in general.

Using JESS.jq at the command-line

With a single schema:

jq -n --argfile schema PATHNAME 'include "JESS"; check' INPUT.json ...

With a single schema in nullable mode:

jq -n --arg nullable true --argfile schema PATHNAME 'include "JESS"; check' INPUT.json ...

With a single schema and one or more preludes:

# jq -n --argfile schema PATHNAME --slurpfile PATHNAME 'include "JESS"; check' INPUT.json ...

With multiple schemas and one or more preludes:

 jq -n --argfile schema PATHNAME --slurpfile PATHNAME 'include "JESS"; check_schemas'

You may also wish to put your jq commands in a file, say check.jq that begins with an include or import statement. Here is an example of such a file:

include "JESS" {search: "path/to/module"};

"Abc" | conforms_to("/a/i")

Invocation would then be along the lines of:

jq -n -f check.jq

or

jq -f check.jq INPUT.json ...

Examples

The "doc" directory includes a simple example combining a preface, a schema, and a conforming JSON document. Assuming JESS.jq is in an appropriate location and that a bash or similar shell is available, then one way to check conformance would be to run the JESS script along the following lines:

 cd JESS
 PREFIX=doc/schema-with-unconstrained-keys
 ./JESS --prelude $PREFIX.prelude.json --schema $PREFIX.schema $PREFIX.json

Alternatively, one could use jq directly, along these lines:

PREFIX=doc/schema-with-unconstrained-keys
jq -n --slurpfile prelude $PREFIX.prelude.json --slurpfile schema $PREFIX.schema 'include "JESS"; check' $PREFIX.json 

jq functions

The "check" family of jq functions provide details about non-conforming entities, such as the corresponding file name.

"conforms_to(schema)" is the jq function intended for programmers to use.

check

check # defined as check(inputs)

Checks the standard input stream against a single schema entity in $schema.

check(stream)

check(stream)

Checks the given stream against a single schema entity in $schema.

check_schemas

check_schemas # defined as check_schemas(inputs)

Checks the standard input stream against one or more schema entities in $schema (an array).

check_schemas(stream)

check_schemas(stream)

Checks the given stream against one or more schema entities in $schema (an array).

conforms_to(schema)

conforms_to(schema)

For each input, conforms_to(schema) simply emits true or false depending on whether that input conforms to the given schema entity.

Experimental Aspects of the JESS Language

The definitions of the following named types are experimental and subject to change:

  • base64
  • ISO8601Date

Contributing

The source code is hosted at https://github.com/pkoppstein/jess/

Bug reports and feature requests are welcome

License

Made available under the MIT License by Peter Koppstein.

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