RDSS - Preservation Action Registry

Defining interoperability for Preservation Action Regisitries

Data model and API definitions to facilitate sharing and exchange of digital preservation best practise within the community and between presevation systems.

Open Source

The data model, APIs and associated software in this repository are open source, under the terms of the Apache 2.0 licence.

Status

Current JSON schemas and API definitions should be considered early drafts and subject to change.

Getting started

To get started you'll need to clone this GitHub repository: git clone https://github.com/JiscRDSS/rdss-par.git, move to the project directory: cd rdss-par/ and update the git submodule to download the examples directory: git submodule update --init --recursive.

An example bash session under linux is shown below:

cfw@dm-wrkstn:/tmp$ git clone git@github.com:JiscRDSS/rdss-par.git
Cloning into 'rdss-par'...
remote: Enumerating objects: 661, done.
remote: Total 661 (delta 0), reused 0 (delta 0), pack-reused 661
Receiving objects: 100% (661/661), 1.53 MiB | 1.54 MiB/s, done.
Resolving deltas: 100% (358/358), done.

cfw@dm-wrkstn:/tmp$ cd rdss-par/

cfw@dm-wrkstn:/tmp/rdss-par$ git submodule update --init --recursive
Submodule 'examples' (https://github.com/JiscRDSS/rdss-par-examples.git) registered for path 'examples'
Cloning into '/tmp/rdss-par/examples'...
Submodule path 'examples': checked out 'edec3997b38e73d967e7ba1ba3c76345e02097f0'

cfw@dm-wrkstn:/tmp/rdss-par$

Project Layout

rdss-par
    |- api          The PAR API definitions and documentation.
    |- docs         The contents of the GitHub pages parecore.org site.
    |- examples     Practical JSON examples of data model usage.
    |- schemas      The PAR data model defined as JSON schema.
    |- scripts      Helper scripts for testing, etc.
    |- testing      Pytests that validate the examples using the schema.

Dependencies

To run the tests you'll need Python 2.7 or higher with the following:

• pip to install Python dependencies;
• demjson for command line JSON linting;
• jsonschema for JSON schema validation;
• pytest to run the schema validation tests.

Once you have Pythton and pip you can install the other dependencies so: pip install -r requirements.txt

Testing

Automated testing currently consists of:

• JSONLint validation of all JSON files in the api, examples and schemas directories; and
• validation of the example sets against the schema using these Python tests.

To run the tests locally, first run the JSON linting script:

./scripts/lint-json-dirs

JSONLINT - All files in dir schemas.
===================================
./rdss-par/scripts/../schemas/business_rule.json: ok
./rdss-par/scripts/../schemas/format.json: ok
./rdss-par/scripts/../schemas/par_property.json: ok
./rdss-par/scripts/../schemas/preservation_action.json: ok
./rdss-par/scripts/../schemas/preservation_action_type.json: ok
./rdss-par/scripts/../schemas/tool.json: ok
./rdss-par/scripts/../schemas/types.json: ok

JSONLINT - All files in dir api.
===================================
./rdss-par/scripts/../api/par-api.json: ok

JSONLINT - All files in dir examples.
===================================
./rdss-par/scripts/../examples/br-1.json: ok
./rdss-par/scripts/../examples/br-2.json: ok
./rdss-par/scripts/../examples/br-3.json: ok
./rdss-par/scripts/../examples/fmt-43.json: ok
./rdss-par/scripts/../examples/md5check.json: ok
./rdss-par/scripts/../examples/md5prop.json: ok
./rdss-par/scripts/../examples/md5sum.json: ok

then run the pytest tests

pytest

===================== test session starts ===============================
platform linux2 -- Python 2.7.12, pytest-3.6.2, py-1.5.3, pluggy-0.6.0
rootdir: /home/cfw/proj/JISC/rdss-par, inifile:
collected 7 items

testing/test_main.py .......                                                                                                                                                           [100%]

===================== 7 passed in 0.06 seconds ========================

Documentation

Coming soon https://parcore.readme.io