rename files, delete unneccesary code, some comments
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# PREPARATIONS ------------------------------------------------------------
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require(jsonlite)
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require(stringr)
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require(devtools)
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require(RTwitterAPI)
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setwd("~/Dokumente/Uni/Aktuell/BA-Arbeit/uni-ba-issuecomp")
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source("issuecomp-functions.R")
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#acc_url <- "http://www.bundestwitter.de/api/politiker"
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#acc_df <- fromJSON(acc_url)
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acc_df <- read.csv("politiker2.csv")
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delrow <- NULL
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for(r in 1:nrow(acc_df)) {
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acc <- as.character(acc_df$twitter_acc[r])
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if(!nzchar(acc)) {
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delrow <- c(delrow, r)
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}
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}
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acc_df <- acc_df[-delrow, ]
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rm(delrow, r, acc)
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acc_df$row.names <- NULL
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row.names(acc_df) <- NULL
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# COLLECT ALL TWEETS ------------------------------------------------------
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# http://www.joyofdata.de/blog/twitters-rest-api-v1-1-with-r-for-linux-and-windows/
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# --> devtools::install_github("joyofdata/RTwitterAPI")
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# https://dev.twitter.com/rest/reference/get/statuses/user_timeline
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api_params <- c(
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"oauth_consumer_key" = readLines("twitter-api-credentials.txt")[2],
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"oauth_nonce" = NA,
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"oauth_signature_method" = "HMAC-SHA1",
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"oauth_timestamp" = NA,
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"oauth_token" = readLines("twitter-api-credentials.txt")[4],
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"oauth_version" = "1.0",
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"consumer_secret" = readLines("twitter-api-credentials.txt")[3],
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"oauth_token_secret" = readLines("twitter-api-credentials.txt")[5]
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)
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#api_url2 <- "https://api.twitter.com/1.1/statuses/show.json"
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#id2="498492933922754560" # 499533113676931073(\" ), 325320073906622464(\\>), 498492933922754560(\"W)
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#query2 <- c(id=id2, trim_user="true", include_entities="false")
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#current2 <- twitter_api_call(api_url2, query2, api_params)
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api_url <- "https://api.twitter.com/1.1/statuses/user_timeline.json";
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max_count <- "200"
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keep <- c("created_at", "id_str", "text", "retweet_count")
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# tweets_complete: All tweets
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# tweets_full: All tweets of current user
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# tweets_temp: The current max 200 tweets of current user
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tweets_full <- data.frame(user=character(), name=character(), created_at=character(), id_str=character(), text=character(), retweet_count=character())
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tweets_complete <- tweets_full
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for(a in 1:nrow(acc_df)) {
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user <- as.character(acc_df$twitter_acc[a])
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name <- as.character(acc_df$name[a])
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max_id <- "999999999999999999"
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loop <- 1
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error <- 0
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repeat {
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# Define specific search query
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query <- c(include_rts=1, exclude_replies="true", trim_user="true", include_entities="false",
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screen_name=user,
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count=max_count,
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max_id=max_id);
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# At first, work with an temporary tweet-DB
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current <- twitter_api_call(api_url, query, api_params)
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rm(tweets_temp)
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tweets_temp <- fromJSON(correctJSON(current))
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## START ERROR HANDLING ##
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# Empty API output
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status <- errorEmptyAPI(tweets_temp)
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if(status == 1) { Sys.sleep(3);error <- error + 1;next}
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if(status == 2) {break}
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# Contains "error" column
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status <- errorErrorColumn(tweets_temp)
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if(status == 1) { Sys.sleep(3);error <- error + 1;next}
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if(status == 2) {break}
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# Check if error code exists
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code <- errorCheckCode(tweets_temp) # 0 if no error
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if(code == 34) { # page does not exist
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status <- errorCode34()
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if(status == 1) { Sys.sleep(3);error <- error + 1;next}
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if(status == 2) {break}
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}
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if(code == 88) { # rate limit exceeded
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wait <- errorCode88()
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Sys.sleep(wait)
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next
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}
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## END ERROR HANDLING ##
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# Delete unnecessary columns and add username and real name to dataframe
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tweets_temp <- tweets_temp[keep]
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tweets_temp <- cbind(user=user, name=name, tweets_temp)
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# Now sleep 3 second to dodge 300queries/15min limit
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cat("[",a,"/",nrow(acc_df),"] ", sep = "")
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cat("User: ",user," in loop: ",loop,". \n", sep = "")
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Sys.sleep(2)
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if(tweets_full$id_str[nrow(tweets_full)] == tweets_temp$id_str[nrow(tweets_temp)] && nrow(tweets_full) > 0) {
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cat("[INFO] Last tweet of temp is last tweet of full. Abort loop and begin with next user.\n")
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break
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}
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## CHECK if we need another loop
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# Extract year of last tweet in tweets_temp
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year_last <- as.numeric(str_extract(tweets_temp$created_at[nrow(tweets_temp)], "\\d{4}$"))
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status <- year_last < 2014
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# Is last tweet earlier than 2014? So break the loop
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if (status) {
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# Is even the first tweet older than 2014?
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year_first <- as.numeric(str_extract(tweets_temp$created_at[1], "\\d{4}$"))
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status <- year_first < 2014
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if(status) {
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cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
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}
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tweets_full <- insertRow(tweets_full, tweets_temp)
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break # End loop because 2013 is reached
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}
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# The last tweet is newer or equal 2014, so we need another loop
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else {
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# Setting max_id to gather next 200 tweets
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max_id <- tweets_temp$id_str[nrow(tweets_temp)]
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loop <- loop + 1 # just for stats
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tweets_full <- insertRow(tweets_full, tweets_temp)
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}
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} # /repeat
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tweets_complete <- insertRow(tweets_complete, tweets_full)
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tweets_full <- head(tweets_full, -nrow(tweets_full)) # Empty tweets_full
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cat("User:",user,"finished after",loop,"loops. Total Tweets now:",nrow(tweets_complete),"\n")
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write.csv(tweets_complete, "tweets_complete.csv")
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# Every tweet from 2014 or newer from user[a] is downloaded. Now next user in for-loop
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}
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rm(a, code, current, error, loop, max_id, max_count, year_first, year_last, name, query, status, user, wait, tweets_full, tweets_temp)
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# CLEAR DATAFRAME ---------------------------------------------------------
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save(tweets_complete, file="tweets_complete.RData")
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# Remove duplicates
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tweets <- tweets_complete[!duplicated(tweets_complete), ]
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tweets <- na.omit(tweets)
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rm(tweets_complete)
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# Format dates in data frame
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Sys.setlocale("LC_TIME", "C")
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tweets$created_at <- as.POSIXct(tweets$created_at, format = "%a %b %d %H:%M:%S %z %Y")
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tweets <- tweets[order(tweets$created_at), ]
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# Finally delete every tweet not from 2014 (2013 or 2015)
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delrow <- NULL
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pb <- txtProgressBar(min = 0, max = nrow(tweets), style = 3)
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for(r in 1:nrow(tweets)) {
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if(format(tweets$created_at[r], "%Y") != "2014") {
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delrow <- c(delrow, r)
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}
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setTxtProgressBar(pb, r)
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}
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tweets <- tweets[-delrow, ]
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rm(delrow, r)
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# Convert dates to omit (unnecessary) time
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tweets$created_at <- format(tweets$created_at, "%Y-%m-%d")
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save(tweets, file="tweets.RData")
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