use crate::aggregator::Timeframe;
use crate::error::Result;
use wickra_core::Candle;
#[derive(Debug, Clone)]
pub struct Resampler {
timeframe: Timeframe,
open: Option<RolledBar>,
}
#[derive(Debug, Clone, Copy)]
struct RolledBar {
bucket_start: i64,
open: f64,
high: f64,
low: f64,
close: f64,
volume: f64,
}
impl RolledBar {
fn from_candle(c: Candle, bucket_start: i64) -> Self {
Self {
bucket_start,
open: c.open,
high: c.high,
low: c.low,
close: c.close,
volume: c.volume,
}
}
fn absorb(&mut self, c: Candle) {
if c.high > self.high {
self.high = c.high;
}
if c.low < self.low {
self.low = c.low;
}
self.close = c.close;
self.volume += c.volume;
}
fn into_candle(self) -> Candle {
Candle::new_unchecked(
self.open,
self.high,
self.low,
self.close,
self.volume,
self.bucket_start,
)
}
}
impl Resampler {
pub fn new(timeframe: Timeframe) -> Self {
Self {
timeframe,
open: None,
}
}
pub fn push(&mut self, candle: Candle) -> Option<Candle> {
let bucket = self.timeframe.floor(candle.timestamp);
match self.open {
Some(mut bar) if bucket == bar.bucket_start => {
bar.absorb(candle);
self.open = Some(bar);
None
}
Some(bar) => {
let closed = bar.into_candle();
self.open = Some(RolledBar::from_candle(candle, bucket));
Some(closed)
}
None => {
self.open = Some(RolledBar::from_candle(candle, bucket));
None
}
}
}
pub fn flush(&mut self) -> Option<Candle> {
self.open.take().map(RolledBar::into_candle)
}
}
pub fn resample_all<I>(timeframe: Timeframe, iter: I) -> Result<Vec<Candle>>
where
I: IntoIterator<Item = Result<Candle>>,
{
let mut r = Resampler::new(timeframe);
let mut out = Vec::new();
for c in iter {
let c = c?;
if let Some(closed) = r.push(c) {
out.push(closed);
}
}
if let Some(last) = r.flush() {
out.push(last);
}
Ok(out)
}
#[cfg(test)]
mod tests {
use super::*;
fn c(ts: i64, o: f64, h: f64, l: f64, cl: f64, v: f64) -> Candle {
Candle::new(o, h, l, cl, v, ts).unwrap()
}
#[test]
fn resamples_1m_to_5m() {
let tf = Timeframe::new(5).unwrap();
let one_m = vec![
c(0, 10.0, 11.0, 9.0, 10.5, 10.0),
c(1, 10.5, 12.0, 10.0, 11.5, 12.0),
c(2, 11.5, 13.0, 11.0, 12.5, 15.0),
c(3, 12.5, 12.8, 11.5, 12.0, 8.0),
c(4, 12.0, 12.2, 11.0, 11.5, 6.0),
c(5, 11.5, 11.9, 11.0, 11.5, 4.0),
];
let rolled = resample_all(tf, one_m.into_iter().map(Ok)).unwrap();
assert_eq!(rolled.len(), 2);
let a = rolled[0];
assert_eq!(a.open, 10.0);
assert_eq!(a.close, 11.5);
assert_eq!(a.high, 13.0);
assert_eq!(a.low, 9.0);
assert!((a.volume - 51.0).abs() < 1e-12);
let b = rolled[1];
assert_eq!(b.open, 11.5);
assert_eq!(b.timestamp, 5);
}
}