I just launched a search application for the Monier-Williams dictionary, which is the definitive Sanskrit-English dictionary.
See it in action here: http://sanskrit.supermind.org
The app is built in Python and uses the Whoosh search engine. I chose Whoosh instead of Solr or ElasticSearch because I wanted to try building a search app which didn't depend on Java.
– full-text search in Devanagari, English, IAST, ascii and HK
– results link to page scans
– more frequently occurring word senses are boosted higher in search results
– visually displays the MW level or depth of a word with list indentation
Scrapy, being based on Twisted, introduces an incredible host of obstacles to easily and efficiently writing self-contained unit tests:
1. You can't call reactor.run() multiple times
2. You can't stop the reactor multiple times, so you can't blindly call "crawler.signals.connect(reactor.stop, signal=signals.spider_closed)"
3. Reactor runs in its own thread, so your failed assertions won't make it to the main unittest thread, so test failures will be thrown as assertion errors but unittest doesn't know about them
To get around these hurdles, I created a BaseScrapyTestCase class that uses tl.testing's ThreadAwareTestCase and the following workarounds.
You'll use it like so:
1. Call run_reactor() at the end of test method.
2. You have to place your assertions in its own function which gets called in a ThreadJoiner so that unittest knows about assertion failures.
3. If you're testing multiple spiders, just call queue_spider() for each, and run_reactor() at the end.
4. BaseScrapyTestCase keeps track of the crawlers created, and makes sure to only attach a reactor.stop signal to the last one.
Let me know if you come up with a better/more elegant way of testing scrapy spiders!