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use super::AnalyticsDirectory;
use crate::common::{create_csv_file, parse_csv_file};
use simple_pagerank::Pagerank;
use std::path::{Path, PathBuf};
use serde::{Serialize, Deserialize};
const HIGHEST_POPULARITY_VALUE: usize = 9;
#[derive(Debug, Deserialize)]
struct RecordDependency {
#[serde(rename = "caller program id")]
source: u32,
#[serde(rename = "callee program id")]
target: u32,
}
/// Determine the popularity group which each program belong to.
///
/// The miner is more likely to call a popular program, eg. the Fibonacci program, or the sqrt2 function.
///
/// The miner is less likely to call an unpopular program, eg. an unreferenced program, or few insignificant references.
///
/// This saves a `program_popularity.csv` file, with this format:
///
/// ```csv
/// program id;popularity
/// 5;9
/// 6;9
/// 8;8
/// 10;9
/// 15;9
/// 30;4
/// 31;8
/// 32;9
/// 33;6
/// ```
pub fn compute_program_rank(analytics_directory: AnalyticsDirectory) {
let input_path: PathBuf = analytics_directory.dependencies_file();
let output_rank_path: PathBuf = analytics_directory.program_rank_file();
let output_popularity_path: PathBuf = analytics_directory.program_popularity_file();
let pr: Pagerank<u32> = calculate_pagerank(&input_path);
create_dependencies_csv_file(&pr, &output_rank_path);
create_popularity_csv_file(&pr, &output_popularity_path, HIGHEST_POPULARITY_VALUE);
}
fn calculate_pagerank(input_path: &Path) -> Pagerank::<u32> {
let dependency_vec: Vec<RecordDependency> = parse_csv_file(input_path).expect("Unable to load input file");
let mut pr = Pagerank::<u32>::new();
for dependency in &dependency_vec {
pr.add_edge(dependency.source, dependency.target);
}
pr.calculate();
pr
}
#[derive(Debug, Deserialize, Serialize)]
struct ProgramRankItem {
#[serde(rename = "program id")]
program_id: u32,
score: String,
}
fn create_dependencies_csv_file(pagerank: &Pagerank::<u32>, output_path: &Path) {
let mut items = Vec::<ProgramRankItem>::new();
for node in pagerank.nodes() {
let item = ProgramRankItem {
program_id: *node.0,
score: format!("{:.4}", node.1),
};
items.push(item);
}
match create_csv_file(&items, &output_path) {
Ok(()) => {},
Err(error) => {
error!("Unable to save csv file: {:?}", error);
}
}
}
#[derive(Clone, Copy)]
struct ProgramScoreItem {
program_id: u32,
score: i64,
}
#[derive(Clone, Copy, Deserialize, Serialize)]
struct ProgramPopularityItem {
#[serde(rename = "program id")]
program_id: u32,
popularity: usize,
}
fn create_popularity_csv_file(pagerank: &Pagerank::<u32>, output_path: &Path, highest_popularity_value: usize) {
let mut program_score_items = Vec::<ProgramScoreItem>::new();
for node in pagerank.nodes() {
let score_float: f64 = node.1;
let score_int = (score_float * 1000000.0).floor() as i64;
let item = ProgramScoreItem {
program_id: *node.0,
score: score_int,
};
program_score_items.push(item);
}
// Find lowest score
let mut lowest_score: i64 = 0;
if let Some(item0) = program_score_items.first() {
lowest_score = item0.score;
}
for item in &program_score_items {
if lowest_score > item.score {
lowest_score = item.score;
}
}
// Separate the unused programs, from the used programs
let (items_with_lowest_score, items_remaining): (Vec<ProgramScoreItem>, Vec<ProgramScoreItem>) =
program_score_items.iter()
.partition(|&row| row.score == lowest_score);
let mut result = Vec::<ProgramPopularityItem>::new();
// bin=0: There a lot of unused programs, so they get their own bin
for item in items_with_lowest_score {
let result_item = ProgramPopularityItem { program_id: item.program_id, popularity: 0 };
result.push(result_item);
}
// bin=1..9: Split into k approx evenly sized bins
// bin 9 is for the highly popular and influential programs
// bin 5 is for the medium popular programs
// bin 1 is for the rarely used programs
// bin 0 is for the unused and unpopular programs. This cluster is huge.
let count: usize = items_remaining.len();
for (index, item) in items_remaining.iter().enumerate() {
let popularity = highest_popularity_value - (index * highest_popularity_value / count);
let result_item = ProgramPopularityItem { program_id: item.program_id, popularity: popularity };
result.push(result_item);
}
// sort by program id
result.sort_unstable_by_key(|item| (item.program_id));
match create_csv_file(&result, &output_path) {
Ok(()) => {},
Err(error) => {
error!("Unable to save csv file: {:?}", error);
}
}
}
#[cfg(test)]
mod tests {
use super::*;
use std::path::PathBuf;
use std::fs;
use std::error::Error;
use std::fs::File;
use std::io::prelude::*;
#[test]
fn test_10000_create_dependencies_csv_file() -> Result<(), Box<dyn Error>> {
// Arrange
let tempdir = tempfile::tempdir().unwrap();
let basedir = PathBuf::from(&tempdir.path()).join("test_10000_create_dependencies_csv_file");
fs::create_dir(&basedir)?;
let input_path: PathBuf = basedir.join("input.csv");
let output_path: PathBuf = basedir.join("output.csv");
let input_content =
r#"caller program id;callee program id
6;4
4;5
3;6
2;5
1;2
1;5
"#;
let mut input_file = File::create(&input_path)?;
input_file.write_all(input_content.as_bytes())?;
// Act
let pr = calculate_pagerank(&input_path);
create_dependencies_csv_file(&pr, &output_path);
// Assert
let result_records: Vec<ProgramRankItem> = parse_csv_file(&output_path)?;
let mut result_items = Vec::<String>::new();
for record in result_records {
result_items.push(format!("{}", record.program_id));
}
let result = result_items.join(",");
assert_eq!(result, "5,4,6,2,3,1");
Ok(())
}
#[test]
fn test_20000_create_popularity_csv_file() -> Result<(), Box<dyn Error>> {
// Arrange
let tempdir = tempfile::tempdir().unwrap();
let basedir = PathBuf::from(&tempdir.path()).join("test_20000_create_popularity_csv_file");
fs::create_dir(&basedir)?;
let input_path: PathBuf = basedir.join("input.csv");
let output_path: PathBuf = basedir.join("output.csv");
let input_content =
r#"caller program id;callee program id
8;9
7;8
6;7
5;6
4;5
3;4
2;3
1;2
104;1
100;1
103;1
101;1
102;1
"#;
let mut input_file = File::create(&input_path)?;
input_file.write_all(input_content.as_bytes())?;
// Act
let pr = calculate_pagerank(&input_path);
create_popularity_csv_file(&pr, &output_path, 3);
// Assert
let result_records: Vec<ProgramPopularityItem> = parse_csv_file(&output_path)?;
let mut result_items = Vec::<String>::new();
for record in result_records {
result_items.push(format!("{} {}", record.program_id, record.popularity));
}
let result = result_items.join(",");
assert_eq!(result, "1 1,2 1,3 1,4 2,5 2,6 2,7 3,8 3,9 3,100 0,101 0,102 0,103 0,104 0");
Ok(())
}
}