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use crate::BenchResult;
use codec::Decode;
use linregress::{FormulaRegressionBuilder, RegressionDataBuilder};
use serde::{Deserialize, Serialize};
use std::io::Write;
#[derive(Serialize, Deserialize, Default, Debug, Clone)]
struct BenchData {
pub name: String,
pub base_weight: u64,
pub base_reads: u32,
pub base_writes: u32,
}
/// Handle bench results
pub fn handle(output: Vec<u8>) {
let results = <Vec<BenchResult> as Decode>::decode(&mut &output[..]).unwrap();
let data: Vec<BenchData> = results
.into_iter()
.map(|result| {
let name = String::from_utf8_lossy(&result.method).to_string();
eprintln!("{:#?}", result);
let y: Vec<f64> = result.elapses.into_iter().map(|x| x as f64).collect();
let x: Vec<f64> = (0..y.len()).into_iter().map(|x| x as f64).collect();
let data = vec![("Y", y), ("X", x)];
let data = RegressionDataBuilder::new().build_from(data).unwrap();
let formula = "Y ~ X";
let model = FormulaRegressionBuilder::new()
.data(&data)
.formula(formula)
.fit()
.unwrap();
BenchData {
name,
base_weight: model.parameters.intercept_value as u64 * 1_000,
base_reads: result.reads,
base_writes: result.writes,
}
})
.collect();
if let Ok(json) = serde_json::to_string(&data) {
let stdout = ::std::io::stdout();
let mut handle = stdout.lock();
handle.write_all(&json.as_bytes()).unwrap();
} else {
eprintln!("Could not write benchdata to JSON");
}
}