//! A module providing thread-safe and unsynchronized implementations for
//! Histograms, based on HdrHistogram.

use crate::{clear::Clear, metric::Histogram};
use parking_lot::Mutex;
use serde::{Serialize, Serializer};

/// A thread-safe implementation of HdrHistogram
pub struct AtomicHdrHistogram {
    inner: Mutex<HdrHistogram>,
}

impl Histogram for AtomicHdrHistogram {
    fn with_bound(max_bound: u64) -> Self {
        let histo = HdrHistogram::with_bound(max_bound);
        let inner = Mutex::new(histo);
        AtomicHdrHistogram { inner }
    }

    fn record(&self, value: u64) {
        self.inner.lock().record(value);
    }
}

impl Clear for AtomicHdrHistogram {
    fn clear(&self) {
        self.inner.lock().clear();
    }
}

impl Serialize for AtomicHdrHistogram {
    fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
    where
        S: Serializer,
    {
        use std::ops::Deref;
        let inner = self.inner.lock();
        let inner = inner.deref();
        Serialize::serialize(inner, serializer)
    }
}

use std::{fmt, fmt::Debug};
impl Debug for AtomicHdrHistogram {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        let histo = self.inner.lock();
        write!(f, "AtomicHdrHistogram {{ {:?} }}", &*histo)
    }
}

/// An High-Dynamic Range Histogram
///
/// HdrHistograms can record and analyze sampled data in low-latency applications. Read more about HDR Histograms on [http://hdrhistogram.org/](http://hdrhistogram.org/)
///
/// This structure uses the `hdrhistogram` crate under the hood.
pub struct HdrHistogram {
    histo: hdrhistogram::Histogram<u64>,
}

impl HdrHistogram {
    /// Instantiates a new HdrHistogram with a max_bound
    ///
    /// For instance, a max_bound of 60 * 60 * 1000 will allow to record
    /// durations varying from 1 millisecond to 1 hour.
    pub fn with_bound(max_bound: u64) -> Self {
        let histo = hdrhistogram::Histogram::<u64>::new_with_bounds(1, max_bound, 2)
            .expect("Could not instantiate HdrHistogram");

        HdrHistogram { histo }
    }

    /// Records a value to the histogram
    ///
    /// This is a saturating record: if the value is higher than `max_bound`,
    /// max_bound will be recorded instead.
    pub fn record(&mut self, value: u64) {
        // All recordings will be saturating
        self.histo.saturating_record(value);
    }

    /// Clears the values of the histogram
    pub fn clear(&mut self) {
        self.histo.reset();
    }
}

impl Serialize for HdrHistogram {
    fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
    where
        S: Serializer,
    {
        let hdr = &self.histo;

        /// A percentile of this histogram - for supporting serializers this
        /// will ignore the key (such as `90%ile`) and instead add a
        /// dimension to the metrics (such as `quantile=0.9`).
        macro_rules! ile {
            ($e:expr) => {
                &MetricAlias(concat!("!|quantile=", $e), hdr.value_at_quantile($e))
            };
        }

        /// A 'qualified' metric name - for supporting serializers this will
        /// prepend the metric name to this key, outputting
        /// `response_time_count`, for example rather than just `count`.
        macro_rules! qual {
            ($e:expr) => {
                &MetricAlias("<|", $e)
            };
        }

        use serde::ser::SerializeMap;

        let mut tup = serializer.serialize_map(Some(10))?;
        tup.serialize_entry("samples", qual!(hdr.len()))?;
        tup.serialize_entry("min", qual!(hdr.min()))?;
        tup.serialize_entry("max", qual!(hdr.max()))?;
        tup.serialize_entry("mean", qual!(hdr.mean()))?;
        tup.serialize_entry("stdev", qual!(hdr.stdev()))?;
        tup.serialize_entry("90%ile", ile!(0.9))?;
        tup.serialize_entry("95%ile", ile!(0.95))?;
        tup.serialize_entry("99%ile", ile!(0.99))?;
        tup.serialize_entry("99.9%ile", ile!(0.999))?;
        tup.serialize_entry("99.99%ile", ile!(0.9999))?;
        tup.end()
    }
}

/// This is a mocked 'newtype' (eg. `A(u64)`) that instead allows us to
/// define our own type name that doesn't have to abide by Rust's constraints
/// on type names. This allows us to do some manipulation of our metrics,
/// allowing us to add dimensionality to our metrics via key=value pairs, or
/// key manipulation on serializers that support it.
struct MetricAlias<T: Serialize>(&'static str, T);
impl<T: Serialize> Serialize for MetricAlias<T> {
    fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
    where
        S: Serializer,
    {
        serializer.serialize_newtype_struct(self.0, &self.1)
    }
}

impl Debug for HdrHistogram {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        let hdr = &self.histo;
        let ile = |v| hdr.value_at_percentile(v);
        write!(
            f,
            "HdrHistogram {{ 
            samples: {}, min: {}, max: {}, mean: {}, stdev: {},
            90%ile = {}, 95%ile = {}, 99%ile = {}, 99.9%ile = {}, 99.99%ile = {} }}",
            hdr.len(),
            hdr.min(),
            hdr.max(),
            hdr.mean(),
            hdr.stdev(),
            ile(90.0),
            ile(95.0),
            ile(99.0),
            ile(99.9),
            ile(99.99)
        )
    }
}

use std::cell::RefCell;

impl Histogram for RefCell<HdrHistogram> {
    fn with_bound(max_value: u64) -> Self {
        RefCell::new(HdrHistogram::with_bound(max_value))
    }

    fn record(&self, value: u64) {
        self.borrow_mut().record(value);
    }
}

impl Clear for RefCell<HdrHistogram> {
    fn clear(&self) {
        self.borrow_mut().clear();
    }
}