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Python Components for the The NIST Open Access to Research (OAR) Public Data Repository (PDR) system

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Publishing Data Repository: Python Support (oar-pdr-py)

This repository provides Python components that implement key services for the NIST Publishing Data Repository (PDR) platform. Python is used primarily for implementing the PDR's publishing services, and this repository provides Version 2 (and higher) implementations built on Python 3.

Background

This repository is one of the successors of the oar-pdr software, v1.4.7. The python parts of that software was built on Python 2.7.

This repository introduces a major revision to the python code with the following goals:

  • Migrate the code to run under Python 3
  • Organize modules according to an updated architecture supporting multiple publication channels
  • Integrate with a new oar-pdr2 that combines the multi-language implementations into a single repository via language-based submodules.

For deeper history of the python code, consult the git logs for oar-pdr v1.4.7.

Contents

python       --> Python source code for the metadata and preservation
                  services
scripts      --> Tools for running the services and running all tests
oar-build    --> general oar build system support (do not customize)
oar-metadata --> Python source code for supporting the NERDm (and
                  related) metadata, provided as a submodule
docker/      --> Docker containers for building and running tests

Prerequisites

The publishing services are built and run using Python 3 (supporting versions 3.6 through 3.7).

The oar-metadata package is a prerequisite which is configured as git sub-module of this package. This means after you clone the oar-pdr git repository, you should use git submodule to pull in the oar-metadata package into it:

git submodule update --init

See oar-metadata/README.md for a list of its prerequisites.

In addition to oar-metadata and its prerequisites, this package requires the following third-party packages:

  • multibag-py v0.4 or later
  • bagit v1.6.X
  • fs v2.X.X

Acquiring prerequisites via Docker

As an alternative to explicitly installing prerequisites to run the tests, the docker directory contains scripts for building a Docker container with these installed. Running the docker/run.sh script will build the containers (caching them locally), start the container, and put the user in a bash shell in the container. From there, one can run the tests or use the jq and validate tools to interact with metadata files.

Building and Testing the software

This repository currently provides one specific software product:

  • pdr-publish -- the publishing services

Simple Building with makedist

As a standard OAR repository, the software products can be built by simply via the makedist script, assuming the prerequisites are installed:

  scripts/makedist

The built products will be written into the dist subdirectory (created by the makedist); each will be written into a zip-formatted file with a name formed from the product name and a version string.

The individual products can be built separately by specifying the product name as arguments, e.g:

  scripts/makedist pdr-publish

Additional options are available; use the -h option to view the details:

  scripts/makedist -h

Simple Testing with testall

Assuming the prerequisites are installed, the testall script can be used to execute all unit and integration tests:

  scripts/testall

Like with makedist, you can run the tests for the different products separately by listing the desired product names as arguments to testall. Running testall -h will explain available command-line options.

Building and Testing Using Native Tools

The Python build tool, setup.py, is used to build and test the software. To build, type while in this directory:

  python setup.py build

This will create a build subdirectory and compile and install the software into it. To install it into an arbitrary location, type

  python setup.py --prefix=/oar/home/path install

where /oar/home/path is the path to the base directory where the software should be installed.

The makedist script (in ../scripts) will package up an installed version of the software into a zip file, writing it out into the ../dist directory. Unpacking the zip file into a directory is equivalent to installing it there.

To run the unit tests, type:

  python setup.py test

The testall.python script (in ../scripts) will run some additional integration tests after running the unit tests. In the integration tests, the web service versions of the services are launched on local ports to test for proper responses via the web interface.

Building and Testing Using Docker

Like all standard OAR repositories, this repository supports the use of Docker to build the software and run its tests. (This method is used at NIST in production operations.) The advantage of the Docker method is that it is not necessary to first install the prerequisites; this are installed automatically into Docker containers.

To build the software via a docker container, use the makedist.docker script:

  scripts/makedist.docker

Similarly, testall.docker runs the tests in a container:

  scripts/testall.docker

Like their non-docker counterparts, these scripts accept product names as arguments.

MONGODB AND LOCAL TEST

docker-compose up export PYTHONPATH=$PATH_TO_LIB export MONGO_TESTDB_URL="mongodb://admin:admin@127.0.0.1:27017/midas?authSource=admin" python3 setup.py build python3 test/nistoar/midas/dbio

Running the services

The scripts directory contains WSGI applications scripts.

License and Disclaimer

This software was developed by employees and contractors of the National Institute of Standards and Technology (NIST), an agency of the Federal Government and is being made available as a public service. Pursuant to title 17 United States Code Section 105, works of NIST employees are not subject to copyright protection in the United States. This software may be subject to foreign copyright. Permission in the United States and in foreign countries, to the extent that NIST may hold copyright, to use, copy, modify, create derivative works, and distribute this software and its documentation without fee is hereby granted on a non-exclusive basis, provided that this notice and disclaimer of warranty appears in all copies.

THE SOFTWARE IS PROVIDED 'AS IS' WITHOUT ANY WARRANTY OF ANY KIND, EITHER EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY THAT THE SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND FREEDOM FROM INFRINGEMENT, AND ANY WARRANTY THAT THE DOCUMENTATION WILL CONFORM TO THE SOFTWARE, OR ANY WARRANTY THAT THE SOFTWARE WILL BE ERROR FREE. IN NO EVENT SHALL NIST BE LIABLE FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO, DIRECT, INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES, ARISING OUT OF, RESULTING FROM, OR IN ANY WAY CONNECTED WITH THIS SOFTWARE, WHETHER OR NOT BASED UPON WARRANTY, CONTRACT, TORT, OR OTHERWISE, WHETHER OR NOT INJURY WAS SUSTAINED BY PERSONS OR PROPERTY OR OTHERWISE, AND WHETHER OR NOT LOSS WAS SUSTAINED FROM, OR AROSE OUT OF THE RESULTS OF, OR USE OF, THE SOFTWARE OR SERVICES PROVIDED HEREUNDER.

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