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// cargo-deps: hsl, image, csv = "1.0.0-beta.4", serde, serde_derive
extern crate hsl;
extern crate image;
extern crate csv;
extern crate serde;
#[macro_use]
extern crate serde_derive;
use std::collections::BTreeSet;
use std::io;
#[derive(Debug, Deserialize)]
#[serde(rename_all = "camelCase")]
struct Tile {
tile_x: usize,
tile_y: usize,
create_time: u64,
modify_count: u64,
modify_time: u64,
access_count: u64,
access_time: u64
}
// Torus size.
const W: u32 = 512;
// Tile width/height in pixels.
const TW: u32 = 4;
const TH: u32 = 1;
fn main() {
// Read the `torus.csv` into a 2D array of `(access, modify)`.
// Also track the values we see in `BTreeSet` (for ordering).
let mut tiles = [[(0, 0); W as usize]; W as usize];
let mut sa = BTreeSet::new();
let mut sm = BTreeSet::new();
let mut rdr = csv::Reader::from_reader(io::stdin());
for tile in rdr.deserialize().map(Result::<Tile, _>::unwrap) {
let a = tile.access_count;
let m = tile.modify_count;
// HACK(eddyb) ignore 0,0 for analysis - too busy.
if (tile.tile_x, tile.tile_y) != (0, 0) {
sa.insert(a);
sm.insert(m);
}
tiles[tile.tile_y][tile.tile_x] = (a, m);
}
// Extract the maximum values.
// TODO(eddyb) chunk values for better representation.
let ma = sa.iter().next_back().cloned().unwrap_or(0) as f64;
let mm = sm.iter().next_back().cloned().unwrap_or(0) as f64;
// Compose the heatmap image in-memory from the 2D array.
let mut heatmap = image::ImageBuffer::new(W * TW, W * TH);
let red = hsl::HSL::from_rgb(&[255, 0, 0]).h;
// let green = hsl::HSL::from_rgb(&[0, 255, 0]).h;
// let blue = hsl::HSL::from_rgb(&[0, 0, 255]).h;
for y in 0..W {
for x in 0..W {
let (a, m) = tiles[y as usize][x as usize];
let a = (a as f64 / ma).min(1.0).powf(0.1);
let m = (m as f64 / mm).min(1.0).powf(0.1);
// access => luminosity, modify => hue (green -> red)
// let h = green * (1.0 - m) + red * m;
// let s = 1.0;
// let l = a.max(m) * 0.5;
// access => luminosity, modify => saturation (grey -> red)
let h = red;
let s = m;
let l = a * 0.5;
let (r, g, b) = hsl::HSL { h, s, l }.to_rgb();
let rgb = image::Rgb([r, g, b]);
for dy in 0..TH {
let y = ((y * 2 + W + 1) * TH / 2 + dy) % (W * TH);
for dx in 0..TW {
let x = ((x * 2 + W + 1) * TW / 2 + dx) % (W * TW);
heatmap.put_pixel(x, y, rgb);
}
}
}
}
// Save the heatmap image.
heatmap.save("heatmap.png").unwrap();
}
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