Sun 03 January 2016 by Jim Purbrick

A year ago I gave a talk at EVE Vegas about building RESTful CREST applications. My #1 recommendation was to specify representations in requests, but that’s hard to do when there is little documentation on which representations are available and what they contain.

Fortunately CREST is self describing: send an OPTIONS request to a CREST URI and a list of methods and representations that can be used with that URI is returned. The metadata isn’t in a standard format, so I built the crestschema library which can convert the CREST format in to more useful JSON schemas. The library works in browsers, in applications like crestexplorer, and from node in applications like crestschemaspider which can crawl the CREST API to find all reachable representations. Converted schemas can then be used with wide variety of software, libraries and languages to validate data from the live CREST API, generate parsers or automatically generate documentation.

With the schemas converted it’s easy to build crestmatic which uses crestschema and matic to generate the documentation. Adding a travis step to publish the generated documentation to gh-pages and wiring up to trigger a build every night ensures that the documentation is automatically kept up to date. If you’d like to see some changes please feel free to submit a pull request or just donate some ISK to Capt Out if you find the documentation or code useful.

The Why and How of Automated Testing with Python and Django

Thu 04 November 2010 by Jim Purbrick

Jamie has just uploaded the movie of my talk “The Why and How of Automated Testing with Python and Django” which I gave at BrightonPy a week ago (and this time it really is a movie, clocking in at a feature length 1 hr and 35 minutes). The audio on ...

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