1214 lines
36 KiB
Rust
1214 lines
36 KiB
Rust
use crate::binsdim0::BinsDim0;
|
|
use crate::eventsxbindim0::EventsXbinDim0;
|
|
use crate::framable::FrameType;
|
|
use crate::ts_offs_from_abs_with_anchor;
|
|
use crate::IsoDateTime;
|
|
use crate::RangeOverlapInfo;
|
|
use crate::TimeBinnableType;
|
|
use crate::TimeBinnableTypeAggregator;
|
|
use err::Error;
|
|
use items_0::collect_s::Collectable;
|
|
use items_0::collect_s::CollectableType;
|
|
use items_0::collect_s::Collected;
|
|
use items_0::collect_s::CollectorType;
|
|
use items_0::collect_s::ToJsonBytes;
|
|
use items_0::collect_s::ToJsonResult;
|
|
use items_0::container::ByteEstimate;
|
|
use items_0::overlap::HasTimestampDeque;
|
|
use items_0::scalar_ops::ScalarOps;
|
|
use items_0::timebin::TimeBinnable;
|
|
use items_0::timebin::TimeBinned;
|
|
use items_0::timebin::TimeBinner;
|
|
use items_0::Appendable;
|
|
use items_0::AsAnyMut;
|
|
use items_0::AsAnyRef;
|
|
use items_0::Empty;
|
|
use items_0::Events;
|
|
use items_0::EventsNonObj;
|
|
use items_0::MergeError;
|
|
use items_0::WithLen;
|
|
use netpod::is_false;
|
|
use netpod::log::*;
|
|
use netpod::range::evrange::SeriesRange;
|
|
use netpod::timeunits::MS;
|
|
use netpod::timeunits::SEC;
|
|
use netpod::BinnedRangeEnum;
|
|
use serde::Deserialize;
|
|
use serde::Serialize;
|
|
use std::any;
|
|
use std::any::Any;
|
|
use std::collections::VecDeque;
|
|
use std::fmt;
|
|
use std::mem;
|
|
|
|
#[allow(unused)]
|
|
macro_rules! trace2 {
|
|
(EN$($arg:tt)*) => ();
|
|
($($arg:tt)*) => (trace!($($arg)*));
|
|
}
|
|
|
|
#[derive(Clone, PartialEq, Serialize, Deserialize)]
|
|
pub struct EventsDim1NoPulse<STY> {
|
|
pub tss: VecDeque<u64>,
|
|
pub values: VecDeque<Vec<STY>>,
|
|
}
|
|
|
|
impl<STY> From<EventsDim1NoPulse<STY>> for EventsDim1<STY> {
|
|
fn from(value: EventsDim1NoPulse<STY>) -> Self {
|
|
let pulses = vec![0; value.tss.len()].into();
|
|
Self {
|
|
tss: value.tss,
|
|
pulses,
|
|
values: value.values,
|
|
}
|
|
}
|
|
}
|
|
|
|
#[derive(Clone, PartialEq, Serialize, Deserialize)]
|
|
pub struct EventsDim1<STY> {
|
|
pub tss: VecDeque<u64>,
|
|
pub pulses: VecDeque<u64>,
|
|
pub values: VecDeque<Vec<STY>>,
|
|
}
|
|
|
|
impl<STY> EventsDim1<STY> {
|
|
#[inline(always)]
|
|
pub fn push(&mut self, ts: u64, pulse: u64, value: Vec<STY>) {
|
|
self.tss.push_back(ts);
|
|
self.pulses.push_back(pulse);
|
|
self.values.push_back(value);
|
|
}
|
|
|
|
#[inline(always)]
|
|
pub fn push_front(&mut self, ts: u64, pulse: u64, value: Vec<STY>) {
|
|
self.tss.push_front(ts);
|
|
self.pulses.push_front(pulse);
|
|
self.values.push_front(value);
|
|
}
|
|
|
|
pub fn serde_id() -> &'static str {
|
|
"EventsDim1"
|
|
}
|
|
|
|
pub fn tss(&self) -> &VecDeque<u64> {
|
|
&self.tss
|
|
}
|
|
}
|
|
|
|
impl<STY> AsAnyRef for EventsDim1<STY>
|
|
where
|
|
STY: ScalarOps,
|
|
{
|
|
fn as_any_ref(&self) -> &dyn Any {
|
|
self
|
|
}
|
|
}
|
|
|
|
impl<STY> AsAnyMut for EventsDim1<STY>
|
|
where
|
|
STY: ScalarOps,
|
|
{
|
|
fn as_any_mut(&mut self) -> &mut dyn Any {
|
|
self
|
|
}
|
|
}
|
|
|
|
impl<STY> Empty for EventsDim1<STY> {
|
|
fn empty() -> Self {
|
|
Self {
|
|
tss: VecDeque::new(),
|
|
pulses: VecDeque::new(),
|
|
values: VecDeque::new(),
|
|
}
|
|
}
|
|
}
|
|
|
|
impl<STY> fmt::Debug for EventsDim1<STY>
|
|
where
|
|
STY: fmt::Debug,
|
|
{
|
|
fn fmt(&self, fmt: &mut fmt::Formatter) -> fmt::Result {
|
|
if false {
|
|
write!(
|
|
fmt,
|
|
"EventsDim1 {{ count {} ts {:?} vals {:?} }}",
|
|
self.tss.len(),
|
|
self.tss.iter().map(|x| x / SEC).collect::<Vec<_>>(),
|
|
self.values,
|
|
)
|
|
} else {
|
|
write!(
|
|
fmt,
|
|
"EventsDim1 {{ count {} ts {:?} .. {:?} vals {:?} .. {:?} }}",
|
|
self.tss.len(),
|
|
self.tss.front().map(|x| x / SEC),
|
|
self.tss.back().map(|x| x / SEC),
|
|
self.values.front(),
|
|
self.values.back(),
|
|
)
|
|
}
|
|
}
|
|
}
|
|
|
|
impl<STY> WithLen for EventsDim1<STY> {
|
|
fn len(&self) -> usize {
|
|
self.tss.len()
|
|
}
|
|
}
|
|
|
|
impl<STY> ByteEstimate for EventsDim1<STY> {
|
|
fn byte_estimate(&self) -> u64 {
|
|
let stylen = mem::size_of::<STY>();
|
|
let n = self.values.front().map_or(0, Vec::len);
|
|
(self.len() * (8 + 8 + n * stylen)) as u64
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> HasTimestampDeque for EventsDim1<STY> {
|
|
fn timestamp_min(&self) -> Option<u64> {
|
|
self.tss.front().map(|x| *x)
|
|
}
|
|
|
|
fn timestamp_max(&self) -> Option<u64> {
|
|
self.tss.back().map(|x| *x)
|
|
}
|
|
|
|
fn pulse_min(&self) -> Option<u64> {
|
|
self.pulses.front().map(|x| *x)
|
|
}
|
|
|
|
fn pulse_max(&self) -> Option<u64> {
|
|
self.pulses.back().map(|x| *x)
|
|
}
|
|
}
|
|
|
|
items_0::impl_range_overlap_info_events!(EventsDim1);
|
|
|
|
impl<STY> TimeBinnableType for EventsDim1<STY>
|
|
where
|
|
STY: ScalarOps,
|
|
{
|
|
// TODO
|
|
type Output = BinsDim0<STY>;
|
|
type Aggregator = EventsDim1Aggregator<STY>;
|
|
|
|
fn aggregator(range: SeriesRange, x_bin_count: usize, do_time_weight: bool) -> Self::Aggregator {
|
|
let self_name = std::any::type_name::<Self>();
|
|
debug!(
|
|
"TimeBinnableType for {self_name} aggregator() range {:?} x_bin_count {} do_time_weight {}",
|
|
range, x_bin_count, do_time_weight
|
|
);
|
|
Self::Aggregator::new(range, do_time_weight)
|
|
}
|
|
}
|
|
|
|
#[derive(Debug, Serialize, Deserialize)]
|
|
pub struct EventsDim1ChunkOutput<STY> {
|
|
tss: VecDeque<u64>,
|
|
pulses: VecDeque<u64>,
|
|
values: VecDeque<Vec<STY>>,
|
|
scalar_type: String,
|
|
}
|
|
|
|
impl<STY: ScalarOps> EventsDim1ChunkOutput<STY> {}
|
|
|
|
#[derive(Debug)]
|
|
pub struct EventsDim1Collector<STY> {
|
|
vals: EventsDim1<STY>,
|
|
range_final: bool,
|
|
timed_out: bool,
|
|
needs_continue_at: bool,
|
|
}
|
|
|
|
impl<STY> EventsDim1Collector<STY> {
|
|
pub fn self_name() -> &'static str {
|
|
any::type_name::<Self>()
|
|
}
|
|
|
|
pub fn new() -> Self {
|
|
Self {
|
|
vals: EventsDim1::empty(),
|
|
range_final: false,
|
|
timed_out: false,
|
|
needs_continue_at: false,
|
|
}
|
|
}
|
|
}
|
|
|
|
impl<STY> WithLen for EventsDim1Collector<STY> {
|
|
fn len(&self) -> usize {
|
|
WithLen::len(&self.vals)
|
|
}
|
|
}
|
|
|
|
impl<STY> ByteEstimate for EventsDim1Collector<STY> {
|
|
fn byte_estimate(&self) -> u64 {
|
|
ByteEstimate::byte_estimate(&self.vals)
|
|
}
|
|
}
|
|
|
|
#[derive(Debug, Serialize, Deserialize)]
|
|
pub struct EventsDim1CollectorOutput<STY> {
|
|
#[serde(rename = "tsAnchor")]
|
|
ts_anchor_sec: u64,
|
|
#[serde(rename = "tsMs")]
|
|
ts_off_ms: VecDeque<u64>,
|
|
#[serde(rename = "tsNs")]
|
|
ts_off_ns: VecDeque<u64>,
|
|
#[serde(rename = "pulseAnchor")]
|
|
pulse_anchor: u64,
|
|
#[serde(rename = "pulseOff")]
|
|
pulse_off: VecDeque<u64>,
|
|
#[serde(rename = "values")]
|
|
values: VecDeque<Vec<STY>>,
|
|
#[serde(rename = "rangeFinal", default, skip_serializing_if = "is_false")]
|
|
range_final: bool,
|
|
#[serde(rename = "timedOut", default, skip_serializing_if = "is_false")]
|
|
timed_out: bool,
|
|
#[serde(rename = "continueAt", default, skip_serializing_if = "Option::is_none")]
|
|
continue_at: Option<IsoDateTime>,
|
|
}
|
|
|
|
impl<STY: ScalarOps> EventsDim1CollectorOutput<STY> {
|
|
pub fn ts_anchor_sec(&self) -> u64 {
|
|
self.ts_anchor_sec
|
|
}
|
|
|
|
pub fn ts_off_ms(&self) -> &VecDeque<u64> {
|
|
&self.ts_off_ms
|
|
}
|
|
|
|
pub fn pulse_anchor(&self) -> u64 {
|
|
self.pulse_anchor
|
|
}
|
|
|
|
pub fn pulse_off(&self) -> &VecDeque<u64> {
|
|
&self.pulse_off
|
|
}
|
|
|
|
/// Note: only used for unit tests.
|
|
pub fn values_to_f32(&self) -> VecDeque<Vec<f32>> {
|
|
self.values
|
|
.iter()
|
|
.map(|x| x.iter().map(|x| x.as_prim_f32_b()).collect())
|
|
.collect()
|
|
}
|
|
|
|
pub fn range_final(&self) -> bool {
|
|
self.range_final
|
|
}
|
|
|
|
pub fn timed_out(&self) -> bool {
|
|
self.timed_out
|
|
}
|
|
|
|
pub fn is_valid(&self) -> bool {
|
|
if self.ts_off_ms.len() != self.ts_off_ns.len() {
|
|
false
|
|
} else if self.ts_off_ms.len() != self.pulse_off.len() {
|
|
false
|
|
} else if self.ts_off_ms.len() != self.values.len() {
|
|
false
|
|
} else {
|
|
true
|
|
}
|
|
}
|
|
|
|
pub fn info_str(&self) -> String {
|
|
use fmt::Write;
|
|
let mut out = String::new();
|
|
write!(
|
|
out,
|
|
"ts_off_ms {} ts_off_ns {} pulse_off {} values {}",
|
|
self.ts_off_ms.len(),
|
|
self.ts_off_ns.len(),
|
|
self.pulse_off.len(),
|
|
self.values.len(),
|
|
)
|
|
.unwrap();
|
|
out
|
|
}
|
|
}
|
|
|
|
impl<STY> AsAnyRef for EventsDim1CollectorOutput<STY>
|
|
where
|
|
STY: ScalarOps,
|
|
{
|
|
fn as_any_ref(&self) -> &dyn Any {
|
|
self
|
|
}
|
|
}
|
|
|
|
impl<STY> AsAnyMut for EventsDim1CollectorOutput<STY>
|
|
where
|
|
STY: ScalarOps,
|
|
{
|
|
fn as_any_mut(&mut self) -> &mut dyn Any {
|
|
self
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> WithLen for EventsDim1CollectorOutput<STY> {
|
|
fn len(&self) -> usize {
|
|
self.values.len()
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> ToJsonResult for EventsDim1CollectorOutput<STY> {
|
|
fn to_json_result(&self) -> Result<Box<dyn ToJsonBytes>, Error> {
|
|
let k = serde_json::to_value(self)?;
|
|
Ok(Box::new(k))
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> Collected for EventsDim1CollectorOutput<STY> {}
|
|
|
|
impl<STY: ScalarOps> CollectorType for EventsDim1Collector<STY> {
|
|
type Input = EventsDim1<STY>;
|
|
type Output = EventsDim1CollectorOutput<STY>;
|
|
|
|
fn ingest(&mut self, src: &mut Self::Input) {
|
|
self.vals.tss.append(&mut src.tss);
|
|
self.vals.pulses.append(&mut src.pulses);
|
|
self.vals.values.append(&mut src.values);
|
|
}
|
|
|
|
fn set_range_complete(&mut self) {
|
|
self.range_final = true;
|
|
}
|
|
|
|
fn set_timed_out(&mut self) {
|
|
self.timed_out = true;
|
|
}
|
|
|
|
fn set_continue_at_here(&mut self) {
|
|
debug!("{}::set_continue_at_here", Self::self_name());
|
|
self.needs_continue_at = true;
|
|
}
|
|
|
|
// TODO unify with dim0 case
|
|
fn result(
|
|
&mut self,
|
|
range: Option<SeriesRange>,
|
|
_binrange: Option<BinnedRangeEnum>,
|
|
) -> Result<Self::Output, Error> {
|
|
// If we timed out, we want to hint the client from where to continue.
|
|
// This is tricky: currently, client can not request a left-exclusive range.
|
|
// We currently give the timestamp of the last event plus a small delta.
|
|
// The amount of the delta must take into account what kind of timestamp precision the client
|
|
// can parse and handle.
|
|
let vals = &mut self.vals;
|
|
let continue_at = if self.timed_out {
|
|
if let Some(ts) = vals.tss.back() {
|
|
Some(IsoDateTime::from_u64(*ts + MS))
|
|
} else {
|
|
if let Some(range) = &range {
|
|
match range {
|
|
SeriesRange::TimeRange(x) => Some(IsoDateTime::from_u64(x.beg + SEC)),
|
|
SeriesRange::PulseRange(x) => {
|
|
error!("TODO emit create continueAt for pulse range");
|
|
Some(IsoDateTime::from_u64(0))
|
|
}
|
|
}
|
|
} else {
|
|
warn!("can not determine continue-at parameters");
|
|
Some(IsoDateTime::from_u64(0))
|
|
}
|
|
}
|
|
} else {
|
|
None
|
|
};
|
|
let tss_sl = vals.tss.make_contiguous();
|
|
let pulses_sl = vals.pulses.make_contiguous();
|
|
let (ts_anchor_sec, ts_off_ms, ts_off_ns) = crate::ts_offs_from_abs(tss_sl);
|
|
let (pulse_anchor, pulse_off) = crate::pulse_offs_from_abs(pulses_sl);
|
|
let values = mem::replace(&mut vals.values, VecDeque::new());
|
|
if ts_off_ms.len() != ts_off_ns.len() {
|
|
return Err(Error::with_msg_no_trace("collected len mismatch"));
|
|
}
|
|
if ts_off_ms.len() != pulse_off.len() {
|
|
return Err(Error::with_msg_no_trace("collected len mismatch"));
|
|
}
|
|
if ts_off_ms.len() != values.len() {
|
|
return Err(Error::with_msg_no_trace("collected len mismatch"));
|
|
}
|
|
let ret = Self::Output {
|
|
ts_anchor_sec,
|
|
ts_off_ms,
|
|
ts_off_ns,
|
|
pulse_anchor,
|
|
pulse_off,
|
|
values,
|
|
range_final: self.range_final,
|
|
timed_out: self.timed_out,
|
|
continue_at,
|
|
};
|
|
if !ret.is_valid() {
|
|
error!("invalid:\n{}", ret.info_str());
|
|
}
|
|
Ok(ret)
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> CollectableType for EventsDim1<STY> {
|
|
type Collector = EventsDim1Collector<STY>;
|
|
|
|
fn new_collector() -> Self::Collector {
|
|
Self::Collector::new()
|
|
}
|
|
}
|
|
|
|
#[derive(Debug)]
|
|
pub struct EventsDim1Aggregator<STY> {
|
|
range: SeriesRange,
|
|
count: u64,
|
|
min: STY,
|
|
max: STY,
|
|
sumc: u64,
|
|
sum: f32,
|
|
int_ts: u64,
|
|
last_seen_ts: u64,
|
|
last_seen_val: Option<STY>,
|
|
did_min_max: bool,
|
|
do_time_weight: bool,
|
|
events_taken_count: u64,
|
|
events_ignored_count: u64,
|
|
}
|
|
|
|
impl<STY> Drop for EventsDim1Aggregator<STY> {
|
|
fn drop(&mut self) {
|
|
// TODO collect as stats for the request context:
|
|
trace!(
|
|
"taken {} ignored {}",
|
|
self.events_taken_count,
|
|
self.events_ignored_count
|
|
);
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> EventsDim1Aggregator<STY> {
|
|
pub fn new(range: SeriesRange, do_time_weight: bool) -> Self {
|
|
/*let int_ts = range.beg;
|
|
Self {
|
|
range,
|
|
count: 0,
|
|
min: NTY::zero_b(),
|
|
max: NTY::zero_b(),
|
|
sum: 0.,
|
|
sumc: 0,
|
|
int_ts,
|
|
last_seen_ts: 0,
|
|
last_seen_val: None,
|
|
did_min_max: false,
|
|
do_time_weight,
|
|
events_taken_count: 0,
|
|
events_ignored_count: 0,
|
|
}*/
|
|
todo!()
|
|
}
|
|
|
|
// TODO reduce clone.. optimize via more traits to factor the trade-offs?
|
|
fn apply_min_max(&mut self, val: STY) {
|
|
trace!(
|
|
"apply_min_max val {:?} last_val {:?} count {} sumc {:?} min {:?} max {:?}",
|
|
val,
|
|
self.last_seen_val,
|
|
self.count,
|
|
self.sumc,
|
|
self.min,
|
|
self.max
|
|
);
|
|
if self.did_min_max == false {
|
|
self.did_min_max = true;
|
|
self.min = val.clone();
|
|
self.max = val.clone();
|
|
} else {
|
|
if self.min > val {
|
|
self.min = val.clone();
|
|
}
|
|
if self.max < val {
|
|
self.max = val.clone();
|
|
}
|
|
}
|
|
}
|
|
|
|
fn apply_event_unweight(&mut self, val: STY) {
|
|
trace!("TODO check again result_reset_unweight");
|
|
err::todo();
|
|
let vf = val.as_prim_f32_b();
|
|
self.apply_min_max(val);
|
|
if vf.is_nan() {
|
|
} else {
|
|
self.sum += vf;
|
|
self.sumc += 1;
|
|
}
|
|
}
|
|
|
|
fn apply_event_time_weight(&mut self, ts: u64) {
|
|
/*if let Some(v) = &self.last_seen_val {
|
|
let vf = v.as_prim_f32_b();
|
|
let v2 = v.clone();
|
|
if ts > self.range.beg {
|
|
self.apply_min_max(v2);
|
|
}
|
|
let w = if self.do_time_weight {
|
|
(ts - self.int_ts) as f32 * 1e-9
|
|
} else {
|
|
1.
|
|
};
|
|
if vf.is_nan() {
|
|
} else {
|
|
self.sum += vf * w;
|
|
self.sumc += 1;
|
|
}
|
|
self.int_ts = ts;
|
|
} else {
|
|
debug!(
|
|
"apply_event_time_weight NO VALUE {}",
|
|
ts as i64 - self.range.beg as i64
|
|
);
|
|
}*/
|
|
todo!()
|
|
}
|
|
|
|
fn ingest_unweight(&mut self, item: &<Self as TimeBinnableTypeAggregator>::Input) {
|
|
/*trace!("TODO check again result_reset_unweight");
|
|
err::todo();
|
|
for i1 in 0..item.tss.len() {
|
|
let ts = item.tss[i1];
|
|
let val = item.values[i1].clone();
|
|
if ts < self.range.beg {
|
|
self.events_ignored_count += 1;
|
|
} else if ts >= self.range.end {
|
|
self.events_ignored_count += 1;
|
|
return;
|
|
} else {
|
|
error!("TODO ingest_unweight");
|
|
err::todo();
|
|
//self.apply_event_unweight(val);
|
|
self.count += 1;
|
|
self.events_taken_count += 1;
|
|
}
|
|
}*/
|
|
todo!()
|
|
}
|
|
|
|
fn ingest_time_weight(&mut self, item: &<Self as TimeBinnableTypeAggregator>::Input) {
|
|
/*let self_name = std::any::type_name::<Self>();
|
|
trace!("{self_name}::ingest_time_weight item len {}", item.len());
|
|
for i1 in 0..item.tss.len() {
|
|
let ts = item.tss[i1];
|
|
let val = item.values[i1].clone();
|
|
trace!("{self_name} ingest {:6} {:20} {:10?}", i1, ts, val);
|
|
if ts < self.int_ts {
|
|
if self.last_seen_val.is_none() {
|
|
info!(
|
|
"ingest_time_weight event before range, only set last ts {} val {:?}",
|
|
ts, val
|
|
);
|
|
}
|
|
self.events_ignored_count += 1;
|
|
self.last_seen_ts = ts;
|
|
error!("TODO ingest_time_weight");
|
|
err::todo();
|
|
//self.last_seen_val = Some(val);
|
|
} else if ts >= self.range.end {
|
|
self.events_ignored_count += 1;
|
|
return;
|
|
} else {
|
|
if false && self.last_seen_val.is_none() {
|
|
// TODO no longer needed or?
|
|
info!(
|
|
"call apply_min_max without last val, use current instead {} {:?}",
|
|
ts, val
|
|
);
|
|
// TODO: self.apply_min_max(val.clone());
|
|
}
|
|
self.apply_event_time_weight(ts);
|
|
self.count += 1;
|
|
self.last_seen_ts = ts;
|
|
error!("TODO ingest_time_weight");
|
|
err::todo();
|
|
//self.last_seen_val = Some(val);
|
|
self.events_taken_count += 1;
|
|
}
|
|
}*/
|
|
todo!()
|
|
}
|
|
|
|
fn result_reset_unweight(&mut self, range: SeriesRange, _expand: bool) -> BinsDim0<STY> {
|
|
/*trace!("TODO check again result_reset_unweight");
|
|
err::todo();
|
|
let (min, max, avg) = if self.sumc > 0 {
|
|
let avg = self.sum / self.sumc as f32;
|
|
(self.min.clone(), self.max.clone(), avg)
|
|
} else {
|
|
let g = match &self.last_seen_val {
|
|
Some(x) => x.clone(),
|
|
None => NTY::zero_b(),
|
|
};
|
|
(g.clone(), g.clone(), g.as_prim_f32_b())
|
|
};
|
|
let ret = BinsDim0 {
|
|
ts1s: [self.range.beg].into(),
|
|
ts2s: [self.range.end].into(),
|
|
counts: [self.count].into(),
|
|
mins: [min].into(),
|
|
maxs: [max].into(),
|
|
avgs: [avg].into(),
|
|
};
|
|
self.int_ts = range.beg;
|
|
self.range = range;
|
|
self.count = 0;
|
|
self.sum = 0f32;
|
|
self.sumc = 0;
|
|
self.did_min_max = false;
|
|
ret*/
|
|
todo!()
|
|
}
|
|
|
|
fn result_reset_time_weight(&mut self, range: SeriesRange, expand: bool) -> BinsDim0<STY> {
|
|
// TODO check callsite for correct expand status.
|
|
/*if expand {
|
|
debug!("result_reset_time_weight calls apply_event_time_weight");
|
|
self.apply_event_time_weight(self.range.end);
|
|
} else {
|
|
debug!("result_reset_time_weight NO EXPAND");
|
|
}
|
|
let (min, max, avg) = if self.sumc > 0 {
|
|
let avg = self.sum / (self.range.delta() as f32 * 1e-9);
|
|
(self.min.clone(), self.max.clone(), avg)
|
|
} else {
|
|
let g = match &self.last_seen_val {
|
|
Some(x) => x.clone(),
|
|
None => NTY::zero_b(),
|
|
};
|
|
(g.clone(), g.clone(), g.as_prim_f32_b())
|
|
};
|
|
let ret = BinsDim0 {
|
|
ts1s: [self.range.beg].into(),
|
|
ts2s: [self.range.end].into(),
|
|
counts: [self.count].into(),
|
|
mins: [min].into(),
|
|
maxs: [max].into(),
|
|
avgs: [avg].into(),
|
|
};
|
|
self.int_ts = range.beg;
|
|
self.range = range;
|
|
self.count = 0;
|
|
self.sum = 0.;
|
|
self.sumc = 0;
|
|
self.did_min_max = false;
|
|
self.min = NTY::zero_b();
|
|
self.max = NTY::zero_b();
|
|
ret*/
|
|
todo!()
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> TimeBinnableTypeAggregator for EventsDim1Aggregator<STY> {
|
|
type Input = EventsDim1<STY>;
|
|
type Output = BinsDim0<STY>;
|
|
|
|
fn range(&self) -> &SeriesRange {
|
|
&self.range
|
|
}
|
|
|
|
fn ingest(&mut self, item: &Self::Input) {
|
|
if true {
|
|
trace!("{} ingest {} events", any::type_name::<Self>(), item.len());
|
|
}
|
|
if false {
|
|
for (i, &ts) in item.tss.iter().enumerate() {
|
|
trace!("{} ingest {:6} {:20}", any::type_name::<Self>(), i, ts);
|
|
}
|
|
}
|
|
if self.do_time_weight {
|
|
self.ingest_time_weight(item)
|
|
} else {
|
|
self.ingest_unweight(item)
|
|
}
|
|
}
|
|
|
|
fn result_reset(&mut self, range: SeriesRange) -> Self::Output {
|
|
/*trace!("result_reset {} {}", range.beg, range.end);
|
|
if self.do_time_weight {
|
|
self.result_reset_time_weight(range, expand)
|
|
} else {
|
|
self.result_reset_unweight(range, expand)
|
|
}*/
|
|
todo!()
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> TimeBinnable for EventsDim1<STY> {
|
|
fn time_binner_new(&self, binrange: BinnedRangeEnum, do_time_weight: bool) -> Box<dyn TimeBinner> {
|
|
let ret = EventsDim1TimeBinner::<STY>::new(binrange, do_time_weight).unwrap();
|
|
Box::new(ret)
|
|
}
|
|
|
|
fn to_box_to_json_result(&self) -> Box<dyn ToJsonResult> {
|
|
let k = serde_json::to_value(self).unwrap();
|
|
Box::new(k) as _
|
|
}
|
|
}
|
|
|
|
impl<STY> items_0::TypeName for EventsDim1<STY> {
|
|
fn type_name(&self) -> String {
|
|
let sty = std::any::type_name::<STY>();
|
|
format!("EventsDim1<{sty}>")
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> EventsNonObj for EventsDim1<STY> {
|
|
fn into_tss_pulses(self: Box<Self>) -> (VecDeque<u64>, VecDeque<u64>) {
|
|
info!(
|
|
"EventsDim1::into_tss_pulses len {} len {}",
|
|
self.tss.len(),
|
|
self.pulses.len()
|
|
);
|
|
(self.tss, self.pulses)
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> Events for EventsDim1<STY> {
|
|
fn as_time_binnable_ref(&self) -> &dyn TimeBinnable {
|
|
self
|
|
}
|
|
|
|
fn as_time_binnable_mut(&mut self) -> &mut dyn TimeBinnable {
|
|
self
|
|
}
|
|
|
|
fn verify(&self) -> bool {
|
|
let mut good = true;
|
|
let mut ts_max = 0;
|
|
for ts in &self.tss {
|
|
let ts = *ts;
|
|
if ts < ts_max {
|
|
good = false;
|
|
error!("unordered event data ts {} ts_max {}", ts, ts_max);
|
|
}
|
|
ts_max = ts_max.max(ts);
|
|
}
|
|
good
|
|
}
|
|
|
|
fn output_info(&self) -> String {
|
|
let n2 = self.tss.len().max(1) - 1;
|
|
format!(
|
|
"EventsDim1OutputInfo {{ len {}, ts_min {}, ts_max {} }}",
|
|
self.tss.len(),
|
|
self.tss.get(0).map_or(-1i64, |&x| x as i64),
|
|
self.tss.get(n2).map_or(-1i64, |&x| x as i64),
|
|
)
|
|
}
|
|
|
|
fn as_collectable_mut(&mut self) -> &mut dyn Collectable {
|
|
self
|
|
}
|
|
|
|
fn as_collectable_with_default_ref(&self) -> &dyn Collectable {
|
|
self
|
|
}
|
|
|
|
fn as_collectable_with_default_mut(&mut self) -> &mut dyn Collectable {
|
|
self
|
|
}
|
|
|
|
fn take_new_events_until_ts(&mut self, ts_end: u64) -> Box<dyn Events> {
|
|
// TODO improve the search
|
|
let n1 = self.tss.iter().take_while(|&&x| x <= ts_end).count();
|
|
let tss = self.tss.drain(..n1).collect();
|
|
let pulses = self.pulses.drain(..n1).collect();
|
|
let values = self.values.drain(..n1).collect();
|
|
let ret = Self { tss, pulses, values };
|
|
Box::new(ret)
|
|
}
|
|
|
|
fn new_empty_evs(&self) -> Box<dyn Events> {
|
|
Box::new(Self::empty())
|
|
}
|
|
|
|
fn drain_into_evs(&mut self, dst: &mut dyn Events, range: (usize, usize)) -> Result<(), MergeError> {
|
|
// TODO as_any and as_any_mut are declared on unrelated traits. Simplify.
|
|
if let Some(dst) = dst.as_any_mut().downcast_mut::<Self>() {
|
|
// TODO make it harder to forget new members when the struct may get modified in the future
|
|
let r = range.0..range.1;
|
|
dst.tss.extend(self.tss.drain(r.clone()));
|
|
dst.pulses.extend(self.pulses.drain(r.clone()));
|
|
dst.values.extend(self.values.drain(r.clone()));
|
|
Ok(())
|
|
} else {
|
|
error!("downcast to EventsDim0 FAILED");
|
|
Err(MergeError::NotCompatible)
|
|
}
|
|
}
|
|
|
|
fn find_lowest_index_gt_evs(&self, ts: u64) -> Option<usize> {
|
|
for (i, &m) in self.tss.iter().enumerate() {
|
|
if m > ts {
|
|
return Some(i);
|
|
}
|
|
}
|
|
None
|
|
}
|
|
|
|
fn find_lowest_index_ge_evs(&self, ts: u64) -> Option<usize> {
|
|
for (i, &m) in self.tss.iter().enumerate() {
|
|
if m >= ts {
|
|
return Some(i);
|
|
}
|
|
}
|
|
None
|
|
}
|
|
|
|
fn find_highest_index_lt_evs(&self, ts: u64) -> Option<usize> {
|
|
for (i, &m) in self.tss.iter().enumerate().rev() {
|
|
if m < ts {
|
|
return Some(i);
|
|
}
|
|
}
|
|
None
|
|
}
|
|
|
|
fn ts_min(&self) -> Option<u64> {
|
|
self.tss.front().map(|&x| x)
|
|
}
|
|
|
|
fn ts_max(&self) -> Option<u64> {
|
|
self.tss.back().map(|&x| x)
|
|
}
|
|
|
|
fn partial_eq_dyn(&self, other: &dyn Events) -> bool {
|
|
if let Some(other) = other.as_any_ref().downcast_ref::<Self>() {
|
|
self == other
|
|
} else {
|
|
false
|
|
}
|
|
}
|
|
|
|
fn serde_id(&self) -> &'static str {
|
|
Self::serde_id()
|
|
}
|
|
|
|
fn nty_id(&self) -> u32 {
|
|
STY::SUB
|
|
}
|
|
|
|
fn clone_dyn(&self) -> Box<dyn Events> {
|
|
Box::new(self.clone())
|
|
}
|
|
|
|
fn tss(&self) -> &VecDeque<u64> {
|
|
&self.tss
|
|
}
|
|
|
|
fn pulses(&self) -> &VecDeque<u64> {
|
|
&self.pulses
|
|
}
|
|
|
|
fn frame_type_id(&self) -> u32 {
|
|
// TODO make more nice
|
|
panic!()
|
|
}
|
|
|
|
fn to_min_max_avg(&mut self) -> Box<dyn Events> {
|
|
let mins = self
|
|
.values
|
|
.iter()
|
|
.map(|x| STY::find_vec_min(x))
|
|
.map(|x| x.unwrap_or_else(|| STY::zero_b()))
|
|
.collect();
|
|
let maxs = self
|
|
.values
|
|
.iter()
|
|
.map(|x| STY::find_vec_max(x))
|
|
.map(|x| x.unwrap_or_else(|| STY::zero_b()))
|
|
.collect();
|
|
let avgs = self
|
|
.values
|
|
.iter()
|
|
.map(|x| STY::avg_vec(x))
|
|
.map(|x| x.unwrap_or_else(|| STY::zero_b()))
|
|
.map(|x| x.as_prim_f32_b())
|
|
.collect();
|
|
let item = EventsXbinDim0 {
|
|
tss: mem::replace(&mut self.tss, VecDeque::new()),
|
|
pulses: mem::replace(&mut self.pulses, VecDeque::new()),
|
|
mins,
|
|
maxs,
|
|
avgs,
|
|
};
|
|
Box::new(item)
|
|
}
|
|
|
|
fn to_json_vec_u8(&self) -> Vec<u8> {
|
|
let ret = EventsDim1ChunkOutput {
|
|
// TODO use &mut to swap the content
|
|
tss: self.tss.clone(),
|
|
pulses: self.pulses.clone(),
|
|
values: self.values.clone(),
|
|
scalar_type: STY::scalar_type_name().into(),
|
|
};
|
|
serde_json::to_vec(&ret).unwrap()
|
|
}
|
|
|
|
fn to_cbor_vec_u8(&self) -> Vec<u8> {
|
|
let ret = EventsDim1ChunkOutput {
|
|
// TODO use &mut to swap the content
|
|
tss: self.tss.clone(),
|
|
pulses: self.pulses.clone(),
|
|
values: self.values.clone(),
|
|
scalar_type: STY::scalar_type_name().into(),
|
|
};
|
|
let mut buf = Vec::new();
|
|
ciborium::into_writer(&ret, &mut buf).unwrap();
|
|
buf
|
|
}
|
|
|
|
fn clear(&mut self) {
|
|
self.tss.clear();
|
|
self.pulses.clear();
|
|
self.values.clear();
|
|
}
|
|
}
|
|
|
|
#[derive(Debug)]
|
|
pub struct EventsDim1TimeBinner<STY: ScalarOps> {
|
|
edges: VecDeque<u64>,
|
|
agg: EventsDim1Aggregator<STY>,
|
|
ready: Option<<EventsDim1Aggregator<STY> as TimeBinnableTypeAggregator>::Output>,
|
|
range_complete: bool,
|
|
}
|
|
|
|
impl<STY: ScalarOps> EventsDim1TimeBinner<STY> {
|
|
fn type_name() -> &'static str {
|
|
any::type_name::<Self>()
|
|
}
|
|
|
|
fn new(binrange: BinnedRangeEnum, do_time_weight: bool) -> Result<Self, Error> {
|
|
/*if edges.len() < 2 {
|
|
return Err(Error::with_msg_no_trace(format!("need at least 2 edges")));
|
|
}
|
|
let self_name = std::any::type_name::<Self>();
|
|
trace!("{self_name}::new edges {edges:?}");
|
|
let agg = EventsDim1Aggregator::new(
|
|
NanoRange {
|
|
beg: edges[0],
|
|
end: edges[1],
|
|
},
|
|
do_time_weight,
|
|
);
|
|
let ret = Self {
|
|
edges,
|
|
agg,
|
|
ready: None,
|
|
range_complete: false,
|
|
};
|
|
Ok(ret)*/
|
|
|
|
// trace!("{}::new binrange {:?}", Self::type_name(), binrange);
|
|
// let rng = binrange
|
|
// .range_at(0)
|
|
// .ok_or_else(|| Error::with_msg_no_trace("empty binrange"))?;
|
|
// let agg = EventsDim0Aggregator::new(rng, do_time_weight);
|
|
// let ret = Self {
|
|
// binrange,
|
|
// rix: 0,
|
|
// rng: Some(agg.range().clone()),
|
|
// agg,
|
|
// ready: None,
|
|
// range_final: false,
|
|
// };
|
|
// Ok(ret)
|
|
|
|
todo!()
|
|
}
|
|
|
|
fn next_bin_range(&mut self) -> Option<SeriesRange> {
|
|
/*let self_name = std::any::type_name::<Self>();
|
|
if self.edges.len() >= 3 {
|
|
self.edges.pop_front();
|
|
let ret = NanoRange {
|
|
beg: self.edges[0],
|
|
end: self.edges[1],
|
|
};
|
|
trace!("{self_name} next_bin_range {} {}", ret.beg, ret.end);
|
|
Some(ret)
|
|
} else {
|
|
self.edges.clear();
|
|
trace!("{self_name} next_bin_range None");
|
|
None
|
|
}*/
|
|
todo!()
|
|
}
|
|
}
|
|
|
|
impl<STY: ScalarOps> TimeBinner for EventsDim1TimeBinner<STY> {
|
|
fn bins_ready_count(&self) -> usize {
|
|
match &self.ready {
|
|
Some(k) => k.len(),
|
|
None => 0,
|
|
}
|
|
}
|
|
|
|
fn bins_ready(&mut self) -> Option<Box<dyn TimeBinned>> {
|
|
match self.ready.take() {
|
|
Some(k) => Some(Box::new(k)),
|
|
None => None,
|
|
}
|
|
}
|
|
|
|
fn ingest(&mut self, item: &mut dyn TimeBinnable) {
|
|
/*let self_name = std::any::type_name::<Self>();
|
|
trace2!(
|
|
"TimeBinner for EventsDim1TimeBinner {:?}\n{:?}\n------------------------------------",
|
|
self.edges.iter().take(2).collect::<Vec<_>>(),
|
|
item
|
|
);
|
|
if item.len() == 0 {
|
|
// Return already here, RangeOverlapInfo would not give much sense.
|
|
return;
|
|
}
|
|
if self.edges.len() < 2 {
|
|
warn!("{self_name} no more bin in edges A");
|
|
return;
|
|
}
|
|
// TODO optimize by remembering at which event array index we have arrived.
|
|
// That needs modified interfaces which can take and yield the start and latest index.
|
|
loop {
|
|
while item.starts_after(self.agg.range().clone()) {
|
|
trace!("{self_name} IGNORE ITEM AND CYCLE BECAUSE item.starts_after");
|
|
self.cycle();
|
|
if self.edges.len() < 2 {
|
|
warn!("{self_name} no more bin in edges B");
|
|
return;
|
|
}
|
|
}
|
|
if item.ends_before(self.agg.range().clone()) {
|
|
trace!("{self_name} IGNORE ITEM BECAUSE ends_before\n------------- -----------");
|
|
return;
|
|
} else {
|
|
if self.edges.len() < 2 {
|
|
trace!("{self_name} edge list exhausted");
|
|
return;
|
|
} else {
|
|
if let Some(item) = item
|
|
.as_any_ref()
|
|
// TODO make statically sure that we attempt to cast to the correct type here:
|
|
.downcast_ref::<<EventsDim1Aggregator<NTY> as TimeBinnableTypeAggregator>::Input>()
|
|
{
|
|
// TODO collect statistics associated with this request:
|
|
trace!("{self_name} FEED THE ITEM...");
|
|
self.agg.ingest(item);
|
|
if item.ends_after(self.agg.range().clone()) {
|
|
trace!("{self_name} FED ITEM, ENDS AFTER.");
|
|
self.cycle();
|
|
if self.edges.len() < 2 {
|
|
warn!("{self_name} no more bin in edges C");
|
|
return;
|
|
} else {
|
|
trace!("{self_name} FED ITEM, CYCLED, CONTINUE.");
|
|
}
|
|
} else {
|
|
trace!("{self_name} FED ITEM.");
|
|
break;
|
|
}
|
|
} else {
|
|
panic!("{self_name} not correct item type");
|
|
};
|
|
}
|
|
}
|
|
}*/
|
|
todo!()
|
|
}
|
|
|
|
fn push_in_progress(&mut self, push_empty: bool) {
|
|
/*let self_name = std::any::type_name::<Self>();
|
|
trace!("{self_name}::push_in_progress");
|
|
// TODO expand should be derived from AggKind. Is it still required after all?
|
|
// TODO here, the expand means that agg will assume that the current value is kept constant during
|
|
// the rest of the time range.
|
|
if self.edges.len() >= 2 {
|
|
let expand = true;
|
|
let range_next = if let Some(x) = self.next_bin_range() {
|
|
Some(x)
|
|
} else {
|
|
None
|
|
};
|
|
let mut bins = if let Some(range_next) = range_next {
|
|
self.agg.result_reset(range_next, expand)
|
|
} else {
|
|
let range_next = NanoRange {
|
|
beg: u64::MAX - 1,
|
|
end: u64::MAX,
|
|
};
|
|
self.agg.result_reset(range_next, expand)
|
|
};
|
|
assert_eq!(bins.len(), 1);
|
|
if push_empty || bins.counts[0] != 0 {
|
|
match self.ready.as_mut() {
|
|
Some(ready) => {
|
|
ready.append_all_from(&mut bins);
|
|
}
|
|
None => {
|
|
self.ready = Some(bins);
|
|
}
|
|
}
|
|
}
|
|
}*/
|
|
todo!()
|
|
}
|
|
|
|
fn cycle(&mut self) {
|
|
/*let self_name = std::any::type_name::<Self>();
|
|
trace!("{self_name}::cycle");
|
|
// TODO refactor this logic.
|
|
let n = self.bins_ready_count();
|
|
self.push_in_progress(true);
|
|
if self.bins_ready_count() == n {
|
|
if let Some(range) = self.next_bin_range() {
|
|
let mut bins = BinsDim0::<NTY>::empty();
|
|
bins.append_zero(range.beg, range.end);
|
|
match self.ready.as_mut() {
|
|
Some(ready) => {
|
|
ready.append_all_from(&mut bins);
|
|
}
|
|
None => {
|
|
self.ready = Some(bins);
|
|
}
|
|
}
|
|
if self.bins_ready_count() <= n {
|
|
error!("failed to push a zero bin");
|
|
}
|
|
} else {
|
|
warn!("cycle: no in-progress bin pushed, but also no more bin to add as zero-bin");
|
|
}
|
|
}*/
|
|
todo!()
|
|
}
|
|
|
|
fn set_range_complete(&mut self) {
|
|
self.range_complete = true;
|
|
}
|
|
|
|
fn empty(&self) -> Box<dyn TimeBinned> {
|
|
let ret = <EventsDim1Aggregator<STY> as TimeBinnableTypeAggregator>::Output::empty();
|
|
Box::new(ret)
|
|
}
|
|
|
|
fn append_empty_until_end(&mut self) {
|
|
// nothing to do for events
|
|
}
|
|
}
|
|
|
|
impl<STY> Appendable<Vec<STY>> for EventsDim1<STY>
|
|
where
|
|
STY: ScalarOps,
|
|
{
|
|
fn push(&mut self, ts: u64, pulse: u64, value: Vec<STY>) {
|
|
Self::push(self, ts, pulse, value)
|
|
}
|
|
}
|