// Resit Exam about data-mining a chat log
//=========================================
//
// This
//
object Resit {
import io.Source
import scala.util._
// (1) The function below takes file name as argument. It should read
// the corresponding file and return its content. The content
// should be returned as a list of strings, a string for each line
// in the file. Since the file is a csv-file, the first line
// should be dropped. Lines are separated by "\n".
def get_csv(name: String) : List[String] = {
val csv = Source.fromFile(name)("ISO-8859-1")
csv.mkString.split("\n").toList.drop(1)
}
// test cases:
//
// get_csv("log.csv")
// get_csv("log.csv").length // should be 680
// (2) The function below takes a single line from the csv-file (as generated by
// get_csv) and creates a Rec(ord) data structure. The data from the csv-file
// should be copied as follows:
//
// csv-file Rec data structure
// -----------------------------------
// counter => num
// id => msg_id
// time_date => date
// name => author
// country, => country (should be None if no country is given)
// parent_id => reply_id (should be None if there is no parent)
// msg => msg
// => parent is set to None (will be calculated later)
// => children is set to Nil (will be calculated later)
//
// You should use the function line.split(",").toList to separate
// the items in the csv-line. BE CAREFUL that the message texts in
// the last field contain commas and therefore the split will not
// always result into a list of 7 elements. You need to concatenate
// anything beyond the 7th field into a string for the field msg.
case class Rec(num: Int,
msg_id: String,
date: String,
msg: String,
author: String,
country: Option[String],
reply_id : Option[String],
parent: Option[Int] = None,
children: List[Int] = Nil)
def process_line(line: String) : Rec = {
val strs = line.split(",").toList
Rec(num = strs(0).toInt,
msg_id = strs(1),
date = strs(2),
author = strs(3),
country = if (strs(4) == "") None else Some(strs(4)),
reply_id = if (strs(5) == "") None else Some(strs(5)),
msg = (for (i <- 6 until strs.length) yield strs(i)).mkString(","))
}
// test cases:
//
// process_line("""0,5ebeb459ac278d01301f1497,2020-05-15T15:25:13.413000,participant34,United Kingdom,5ebea6424923321d63155796,this question please?""")
//
// ==> Rec(0,
// "5ebeb459ac278d01301f1497",
// "2020-05-15T15:25:13.413000",
// "this question please?",
// "participant34",
// Some("United Kingdom"),
// Some("5ebea6424923321d63155796"),
// None,
// List())
//
// process_line("""1,hash,date,p43,,,foo, bar""")
//
// ==> Rec(1, "hash", "date", "foo, bar",
// "p43", None, None, None, List())
//
// (Note that in the last test case the message needs to be "foo, bar")
// (3) Each record in the log contains a unique hash code
// identifying each message. Some messages also contain a hash
// code identifying the parent message (to which question they reply).
// The function post_process fills in the information about
// potential children and a parent message.
//
// The auxiliary function get_children takes a record e and a
// record list rs as arguments, and returns the list of all direct
// children (which have the hash code of e as reply_id. The list
// of children are returned as a list of nums.
//
// The auxiliary function get_parent returns the number of the
// record corresponding to the reply_id (if there exists one,
// otherwise returns None).
def get_children(e: Rec, rs: List[Rec]) : List[Int] = {
(rs.filter(r => r != e &&
Some(e.msg_id) == r.reply_id)).map(_.num)
}
def get_parent(e: Rec, rs: List[Rec]) : Option[Int] = {
(rs.find(r => r != e &&
Some(r.msg_id) == e.reply_id)).map(_.num)
}
def post_process(rs: List[Rec]) : List[Rec] =
rs.map(r => r.copy(parent = get_parent(r, rs),
children = get_children(r, rs)))
// test cases:
//
//val recs = get_csv("log.csv").map(process_line)
//
//post_process(recs)(4).children // List(12)
//post_process(recs)(23).children // List(16,26)
//
//post_process(recs)(8).parent // None
//post_process(recs)(9).parent // Some(7)
//post_process(recs)(16).parent // Some(23)
//post_process(recs)(26).parent // Some(23)
// (4) The next two functions calculate the countries where
// message authors are coming from and how many authors
// come from each country (returned as a Map from countries
// to numbers). In case an author did not specify a country,
// the empty string is returned.
def get_countries(rs: List[Rec]) : Set[String] =
rs.map(_.country.getOrElse("")).toSet
def get_countries_numbers(rs: List[Rec]) : Map[String, Int] = {
val name_countries = rs.map(r => (r.author, r.country.getOrElse(""))).distinct
name_countries.groupBy(_._2).view.mapValues(_.size).toMap
}
// test cases:
//
//val recs = get_csv("log.csv").map(process_line)
//
// get_countries(recs) =>
//
// Set("", Poland, Lebanon, Trinidad and
// Tobago, Japan, Spain, Nigeria, Peru, India, Lithuania, Hong
// Kong, Italy, Ireland, Uganda, England, Bangladesh, China,
// Romania, Slovakia, United Kingdom, Norway, Pakistan, Indonesia,
// Malaysia, Turkey, Portugal, Hungary)
//
// get_countries_numbers(recs) =>
//
// Map("" -> 4, Poland -> 2, Lebanon -> 1, Trinidad and Tobago -> 2,
// Japan -> 1, Spain -> 1, Nigeria -> 1, Peru -> 1, India -> 6,
// Lithuania -> 1, Hong Kong -> 3, Italy -> 1, Ireland -> 2, Uganda -> 1,
// England -> 4, Bangladesh -> 2, China -> 4, Romania -> 3,
// Slovakia -> 1, United Kingdom -> 34, Norway -> 1, Pakistan -> 2,
// Indonesia -> 2, Malaysia -> 1, Turkey -> 1, Portugal -> 1,
// Hungary -> 2)
// (5) The function thread_sizes orders the message threads according to
// how many answers were given for one message (that is how many children,
// grand-children and so on one message received).
//
// The auxiliary function search enumerates all children, grand-children and
// so on for a given record r. Search returns the children and so on as
// a list of Recs.
//
// The function thread_sizes generates for every message record
// a pair
def search(r: Rec, rs: List[Rec]) : List[Rec] =
r :: (r.children.map(c => search(rs(c), rs)).flatten)
def thread_size(r: Rec, rs: List[Rec]) : (Int, Int) =
(r.num, search(r, rs).size)
def ordered_thread_sizes(rs: List[Rec]) : List[(Int, Int)] =
rs.map(thread_size(_, rs)).sortBy(_._2).reverse
// test cases:
//
//val recs_p = post_process(get_csv("log.csv").map(process_line))
//
//search(recs_p(459), recs_p).map(_.num)
// => List(459, 401, 404, 426, 428, 399, 377, 357, 325, 304)
//
//thread_size(recs_p(459), recs_p)
// => (459,10)
//
//ordered_thread_sizes(recs_p).take(4)
// => List((402,18), (95,12), (488,11), (459,10))
}