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use std::error::Error;
use std::fs::File;
use std::io::{BufRead, BufReader};
use std::path::Path;
use serde::Deserialize;
use rand::Rng;
use rand::seq::SliceRandom;
/// Divide up the programs into equal sized clusters with similar age.
const NUMBER_OF_CLUSTERS: u8 = 10;
/// Some programs are newer than older programs.
///
/// This is a data structure for picking a recently added program.
///
/// Without this data structure, it would be terrible time consuming
/// making a weighted choice among the programs.
///
/// Inside the file `program_creation_dates.csv`:
/// The column `creation date` contain a date with the format yyyymmdd.
/// Example: "19841230" is a program created on: 1984 dec 30.
/// This may be old or new, depending on what other dates are present in this csv file.
///
/// A new program that have just been added to the repository,
/// may be useful or not useful. The goal with this `RecentProgramContainer`
/// is to exercise the most recent programs.
/// The recent programs are assigned `cluster_id` 9.
///
/// The oldest program that have been in the repository for years,
/// these programs are assigned `cluster_id` 0.
///
/// Programs with an age in between the oldest and the newest,
/// These programs are assigned `cluster_id` 1..8.
///
/// On initialization the `program_creation_dates.csv` is loaded.
/// This CSV file have been generated by using `git log` for
/// extracting the creation date.
#[derive(Clone, Debug)]
pub struct RecentProgramContainer {
cluster_program_ids: Vec<Vec<u32>>,
}
impl RecentProgramContainer {
pub fn load(path: &Path) -> Result<Self, Box<dyn Error>> {
let file = File::open(path)?;
let mut reader = BufReader::new(file);
process_csv_into_clusters(&mut reader)
}
#[allow(dead_code)]
pub fn cluster_program_ids(&self) -> &Vec<Vec<u32>> {
&self.cluster_program_ids
}
#[allow(dead_code)]
pub fn choose<R: Rng + ?Sized>(&self, rng: &mut R) -> Option<u32> {
let cluster_weight_vec: Vec<(usize,usize)> = vec![
(0, 1), // Low probability for choosing an old program.
(1, 2),
(2, 4),
(3, 8),
(4, 16),
(5, 32),
(6, 64),
(7, 128),
(8, 256),
(9, 512), // High probablility for choosing a recent program.
];
assert!(cluster_weight_vec.len() == (NUMBER_OF_CLUSTERS as usize));
let cluster_id: &usize = &cluster_weight_vec.choose_weighted(rng, |item| item.1).unwrap().0;
let program_ids: &Vec<u32> = &self.cluster_program_ids[*cluster_id];
if program_ids.is_empty() {
// The CSV file is supposed to have hundreds of rows, so there
// should be several program_ids for every cluster_id.
// No matter what cluster_id is picked, there should be at least 1 program.
// Return None, in the unfortunate case there isn't any program_ids for the picked cluser_id.
return None;
}
let program_id: u32 = match program_ids.choose(rng) {
Some(program_id) => *program_id,
None => {
// For a non-empty vector, this shouldn't happen.
return None;
}
};
Some(program_id)
}
#[cfg(test)]
fn cluster_lengths(&self) -> String {
let strings: Vec<String> = self.cluster_program_ids.iter().map(|program_ids| {
format!("{}", program_ids.len())
}).collect();
strings.join(",")
}
}
fn process_csv_into_clusters(reader: &mut dyn BufRead) -> Result<RecentProgramContainer, Box<dyn Error>> {
let records: Vec<Record> = process_csv_data(reader)?;
convert_records_to_clusters(records)
}
#[derive(Debug, Deserialize)]
struct Record {
#[serde(rename = "program id")]
program_id: u32,
#[serde(rename = "modified")]
creation_date: u32, // format like this: yyyymmdd, eg. 19841230
}
impl Record {
#[cfg(test)]
fn new(program_id: u32, creation_date: u32) -> Self {
Self {
program_id: program_id,
creation_date: creation_date,
}
}
}
fn process_csv_data(reader: &mut dyn BufRead) -> Result<Vec<Record>, Box<dyn Error>> {
let mut records = Vec::<Record>::new();
let mut csv_reader = csv::ReaderBuilder::new()
.delimiter(b';')
.from_reader(reader);
for result in csv_reader.deserialize() {
let record: Record = result?;
records.push(record);
}
Ok(records)
}
fn convert_records_to_clusters(mut records: Vec<Record>) -> Result<RecentProgramContainer, Box<dyn Error>> {
// Order program_ids by their creation date
records.sort_by(|a,b| a.creation_date.cmp(&b.creation_date));
// Create clusters with empty vectors
let mut clusters: Vec<Vec<u32>> = vec!();
for _ in 0..NUMBER_OF_CLUSTERS {
let program_ids: Vec<u32> = vec!();
clusters.push(program_ids);
}
// Place program_ids evenly in each cluster
let count: usize = records.len();
for (index, record) in records.iter().enumerate() {
let cluster_id = (index * ((NUMBER_OF_CLUSTERS) as usize)) / count;
if cluster_id >= clusters.len() {
panic!("cluster_id is out of bounds");
}
clusters[cluster_id].push(record.program_id);
}
let container = RecentProgramContainer {
cluster_program_ids: clusters
};
Ok(container)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_10000_process_csv_data() {
let data = "\
program id;modified
4;20190115
5;20190119
6;20210316
7;20181012
";
let mut input: &[u8] = data.as_bytes();
let records: Vec<Record> = process_csv_data(&mut input).unwrap();
let strings: Vec<String> = records.iter().map(|record| {
format!("{} {}", record.program_id, record.creation_date)
}).collect();
let strings_joined: String = strings.join(",");
assert_eq!(strings_joined, "4 20190115,5 20190119,6 20210316,7 20181012");
}
#[test]
fn test_10010_convert_records_to_clusters4() {
let records: Vec<Record> = vec![
Record::new(101, 19840101),
Record::new(102, 19840102),
Record::new(103, 19840103),
Record::new(104, 19840104),
];
let container: RecentProgramContainer = convert_records_to_clusters(records).unwrap();
assert_eq!(container.cluster_lengths(), "1,0,1,0,0,1,0,1,0,0");
}
#[test]
fn test_10011_convert_records_to_clusters10() {
let records: Vec<Record> = vec![
Record::new(101, 19840101),
Record::new(102, 19840102),
Record::new(103, 19840103),
Record::new(104, 19840104),
Record::new(105, 19840105),
Record::new(106, 19840106),
Record::new(107, 19840107),
Record::new(108, 19840108),
Record::new(109, 19840109),
Record::new(110, 19840110),
];
let container: RecentProgramContainer = convert_records_to_clusters(records).unwrap();
assert_eq!(container.cluster_lengths(), "1,1,1,1,1,1,1,1,1,1");
let cluster_program_ids = container.cluster_program_ids();
{
// cluster 9 contains the newest program_ids
let newest_program_id: Option<&u32> = (cluster_program_ids[9]).first();
assert_eq!(*newest_program_id.unwrap(), 110);
}
{
// cluster 0 contains the oldest program_ids
let newest_program_id: Option<&u32> = (cluster_program_ids[0]).first();
assert_eq!(*newest_program_id.unwrap(), 101);
}
}
#[test]
fn test_10012_convert_records_to_clusters11() {
let records: Vec<Record> = vec![
Record::new(101, 19840101),
Record::new(102, 19840102),
Record::new(103, 19840103),
Record::new(104, 19840104),
Record::new(105, 19840105),
Record::new(106, 19840106),
Record::new(107, 19840107),
Record::new(108, 19840108),
Record::new(109, 19840109),
Record::new(110, 19840110),
Record::new(111, 19840111),
];
let container: RecentProgramContainer = convert_records_to_clusters(records).unwrap();
assert_eq!(container.cluster_lengths(), "2,1,1,1,1,1,1,1,1,1");
}
#[test]
fn test_10013_convert_records_to_clusters19() {
let records: Vec<Record> = vec![
Record::new(101, 19840101),
Record::new(102, 19840102),
Record::new(103, 19840103),
Record::new(104, 19840104),
Record::new(105, 19840105),
Record::new(106, 19840106),
Record::new(107, 19840107),
Record::new(108, 19840108),
Record::new(109, 19840109),
Record::new(110, 19840110),
Record::new(111, 19840111),
Record::new(112, 19840112),
Record::new(113, 19840113),
Record::new(114, 19840114),
Record::new(115, 19840115),
Record::new(116, 19840116),
Record::new(117, 19840117),
Record::new(118, 19840118),
Record::new(119, 19840119),
];
let container: RecentProgramContainer = convert_records_to_clusters(records).unwrap();
assert_eq!(container.cluster_lengths(), "2,2,2,2,2,2,2,2,2,1");
}
#[test]
fn test_10014_convert_records_to_clusters21() {
let records: Vec<Record> = vec![
Record::new(101, 19840101),
Record::new(102, 19840102),
Record::new(103, 19840103),
Record::new(104, 19840104),
Record::new(105, 19840105),
Record::new(106, 19840106),
Record::new(107, 19840107),
Record::new(108, 19840108),
Record::new(109, 19840109),
Record::new(110, 19840110),
Record::new(111, 19840111),
Record::new(112, 19840112),
Record::new(113, 19840113),
Record::new(114, 19840114),
Record::new(115, 19840115),
Record::new(116, 19840116),
Record::new(117, 19840117),
Record::new(118, 19840118),
Record::new(119, 19840119),
Record::new(120, 19840120),
Record::new(121, 19840121),
];
let container: RecentProgramContainer = convert_records_to_clusters(records).unwrap();
assert_eq!(container.cluster_lengths(), "3,2,2,2,2,2,2,2,2,2");
}
}