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unnecessary code and tests removed, simple ApplicationSpec added
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‎README.md

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@@ -6,14 +6,14 @@ BirdWatch is a reactive web application for visualizing a stream of live Tweets
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Here is an overview of the information flow in the system:
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![Screenshot](./docs/dataflow.gif)
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![Data Flow](./docs/dataflow.gif)
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A Play application connects to the **[Twitter Streaming API](https://dev.twitter.com/docs/streaming-apis)** and receives all Tweets that include at least one of a set of configured words. Twitter caps this to 1% of the FireHose, which basically means that the application will not receive more than one percent of all Tweets at any given moment of time. This limit still falls in the range of millions of Tweets per day; a well-defined area of interest should comfortably fit in.
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Incoming Tweets are inserted into an **[ElasticSearch](http://www.elasticsearch.org)** index where they are almost instantly available for querying. Each Tweet is also compared with what is called a percolation query, a pre-registered query for each connected client. Every thus pre-registered query is run on every new Tweet. For every Tweet on which the query matches the client will immediately be informed by means of **[Server Sent Events (SSE)](http://dev.w3.org/html5/eventsource/)**.
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**[AngularJS](http://angularjs.org)** clients hold a local data copy of all the Tweets they have asked for using the
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**[ElasticSearch query syntax](http://www.elasticsearch.org/guide/reference/query-dsl/query-string-query/)**, with 'AND' being the default operator. Every query is not only run on the existing Tweets in the ElasticSearch index but is also registered as a percolation query. A user selectable amount of previous Tweets is loaded, and then every new Tweet for which the query matches is appended immediately, allowing Tweets analysis in near-realtime. Queries are bookmarkable, making it easy to frequently look at interesting and potentially complex queries.
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**[ElasticSearch query syntax](http://www.elasticsearch.org/guide/reference/query-dsl/query-string-query/)**, with 'AND' being the default operator. Every query is not only run on the existing Tweets in the ElasticSearch index but is also registered as a percolation query. A user selectable amount of previous Tweets is loaded, and then every new Tweet for which the query matches is appended immediately, allowing Tweets analysis in near-real-time. Queries are bookmarkable, making it easy to frequently look at interesting and potentially complex queries.
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Client-side analysis of the (live) search result is performed using **[Crossfilter](http://square.github.io/crossfilter/)**.
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‎app/utilities/Calc.scala

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‎test/ApplicationSpec.scala

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import org.specs2.mutable._
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import org.specs2.runner._
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import org.junit.runner._
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import play.api.test._
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import play.api.test.Helpers._
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/**
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* Add your spec here.
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* You can mock out a whole application including requests, plugins etc.
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* For more information, consult the wiki.
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*/
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@RunWith(classOf[JUnitRunner])
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class ApplicationSpec extends Specification {
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"Application" should {
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"send 404 on a bad request" in new WithApplication{
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route(FakeRequest(GET, "/boum")) must beNone
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}
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"render the index page" in new WithApplication{
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val home = route(FakeRequest(GET, "/")).get
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status(home) must equalTo(OK)
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contentType(home) must beSome.which(_ == "text/html")
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contentAsString(home) must contain ("BirdWatch")
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}
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}
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}

‎test/CalcSpec.scala

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‎test/TimeIntervalSpec.scala

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‎test/WordCountSpec.scala

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