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POCreating a persistant connection to twitter stream API using R
 

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  1. POCreating a persistant connection to twitter stream API using R
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    <p>I am presently using the streamR package in R to stream tweets from the filter stream in twitter. I have a handshaken ROAuth object that I use for this. My piece of code looks like:</p> <pre><code># load the Twitter auth object load("twitter_oAuth3.RData") load("keywords3.RData") streamTweet = function(){ require(streamR) require(ROAuth) stack = filterStream(file.name="",track=keywords,timeout=500,oauth=twitter_oAuth) return(stack) } </code></pre> <p>I wanted to create a real time application, which involves dumping these tweets into an activeMQ topic. My code for that is:</p> <pre><code>require(Rjms) # Set logger properties url = "tcp://localhost:61616" type = "T" name = "TwitterStream" # initialize logger topicWriter = initialize.logger(url,type,name) topicWrite = function(input){ # print("writing to topic") to.logger(topicWriter,input,asString=TRUE,propertyName='StreamerID',propertyValue='1') return() } logToTopic = function(streamedStack){ # print("inside stack-writer") stacklength = length(streamedStack) print(c("Length: ",stacklength)) for(i in 1:stacklength){ print(c("calling for: ",i)) topicWrite(streamedStack[i]) } return() } </code></pre> <p>Now my problem is that of the timeout that <code>filterStream()</code> needs. I looked under the hood, and found this call that the function makes:</p> <pre><code>url &lt;- "https://stream.twitter.com/1.1/statuses/filter.json" output &lt;- tryCatch(oauth$OAuthRequest(URL = url, params = params, method = "POST", customHeader = NULL, writefunction = topicWrite, cainfo = system.file("CurlSSL", "cacert.pem", package = "RCurl")), error = function(e) e) </code></pre> <p>I tried removing the timeout component but it doesn't seem to work. Is there a way I can maintain a stream forever (until I kill it) which dumps each tweet as it comes into a topic?</p> <p>P.S. I know of a java implementation that makes a call to the twitter4j API. I, however, have no idea how to do it in R. </p>
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