#' The package for Okapi News Tracker
#'
#'@param news type of of news to track for articles of Okapi
#'@param number is the number of days ago
#'@return dashboard with the title of the article and some statistics about followers and comments
#'
#'@author Jean Marie Cimula
#'@details
#'An implementation of dashboard to follow the lifecycle of articles posted on the website of Okapi Radio i.e followers and comments
#'
#'@export
okapi_news <- function (news, number){
#get_okapi_news <- function (news, from, to, format) #Just fit it with this model after
sch <- "http://www.radiookapi.net/"
number <- as.integer(number)
plink <- paste(sch, news, sep="")
text_df <- data.frame()
for (i in 0 : number){
#Link parameters
plink <- paste(plink, "?page=", sep="")
plink <- paste(plink, i ,sep="")
dpd <- readLines(plink, warn = F)
dpd <- iconv(dpd,"UTF-8","latin1")
#reference expression
ky_word <- "views-field views-field-title"
pdg <- grep (ky_word, dpd)
klen <- length(pdg)
for (i in 1: klen){
#First line depending to the grep result
ky_pub <- dpd[pdg[i]]
ky_pub <- stringr::str_trim(ky_pub)#Removing left and right hidden characters
#Reference character
sc_value <- unlist(gregexpr(pattern = ky_word, ky_pub)) + stringr::str_length(ky_word) + 2
ky_pub <- substr(ky_pub,sc_value,stringr::str_length(ky_pub))
ky_pub <- stringr::str_trim(ky_pub)
#Reference character
ky_html <- "a href"
sc_value <- unlist(gregexpr(pattern = ky_html, ky_pub)) + stringr::str_length(ky_html) + 2
ky_pub <- substr(ky_pub, sc_value, stringr::str_length(ky_pub))
#Reference character
sc_value <- unlist(gregexpr(pattern = '>', ky_pub))
ky_link <- paste(sch, stringr::str_trim( substr ( ky_pub, 1, sc_value[1] - 2) ), sep="")#Getting the Link
kpc <- stringr::str_trim(substr(ky_pub, sc_value[1] + 1, sc_value[2] - 4))#Substring to get the kpc
#Following line in the data
ky_pub <- dpd[pdg[i]+1]
#Reference character
sc_value <- unlist(gregexpr(pattern = '>', ky_pub))
ky_datepub <- stringr::str_trim(substr(ky_pub,sc_value[2] + 1,sc_value[2] + 18))#Substring to get the date of Pub.
nb_words <- sum(stringi::stri_count_words(readLines(ky_link)))
const_df <- data.frame (news = kpc, datepub = ky_datepub, link = ky_link, nb_words = nb_words)
text_df <- rbind(text_df, const_df)#, get_st_analysis (ky_link) still pending
}#Loop to extract data
}
#return the data frame
return (as.data.frame(text_df))
}#End function
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