use std::ops::Range;

use bytes::Bytes;
use futures::{StreamExt, TryStreamExt};
use hashbrown::hash_map::RawEntryMut;
use object_store::path::Path;
use object_store::{ObjectMeta, ObjectStore, ObjectStoreExt};
use polars_core::prelude::{InitHashMaps, PlHashMap};
use polars_error::{PolarsError, PolarsResult};
use polars_utils::mmap::MemSlice;
use tokio::io::{AsyncSeekExt, AsyncWriteExt};

use crate::pl_async::{
    self, MAX_BUDGET_PER_REQUEST, get_concurrency_limit, get_download_chunk_size,
    tune_with_concurrency_budget, with_concurrency_budget,
};

mod inner {
    use std::future::Future;
    use std::sync::Arc;

    use object_store::ObjectStore;
    use polars_core::config;
    use polars_error::PolarsResult;
    use polars_utils::relaxed_cell::RelaxedCell;

    use crate::cloud::PolarsObjectStoreBuilder;

    #[derive(Debug)]
    struct Inner {
        store: tokio::sync::Mutex<Arc<dyn ObjectStore>>,
        builder: PolarsObjectStoreBuilder,
    }

    /// Polars wrapper around [`ObjectStore`] functionality. This struct is cheaply cloneable.
    #[derive(Clone, Debug)]
    pub struct PolarsObjectStore {
        inner: Arc<Inner>,
        /// Avoid contending the Mutex `lock()` until the first re-build.
        initial_store: std::sync::Arc<dyn ObjectStore>,
        /// Used for interior mutability. Doesn't need to be shared with other threads so it's not
        /// inside `Arc<>`.
        rebuilt: RelaxedCell<bool>,
    }

    impl PolarsObjectStore {
        pub(crate) fn new_from_inner(
            store: Arc<dyn ObjectStore>,
            builder: PolarsObjectStoreBuilder,
        ) -> Self {
            let initial_store = store.clone();
            Self {
                inner: Arc::new(Inner {
                    store: tokio::sync::Mutex::new(store),
                    builder,
                }),
                initial_store,
                rebuilt: RelaxedCell::from(false),
            }
        }

        /// Gets the underlying [`ObjectStore`] implementation.
        pub async fn to_dyn_object_store(&self) -> Arc<dyn ObjectStore> {
            if !self.rebuilt.load() {
                self.initial_store.clone()
            } else {
                self.inner.store.lock().await.clone()
            }
        }

        pub async fn rebuild_inner(
            &self,
            from_version: &Arc<dyn ObjectStore>,
        ) -> PolarsResult<Arc<dyn ObjectStore>> {
            let mut current_store = self.inner.store.lock().await;

            // If this does not eq, then `inner` was already re-built by another thread.
            if Arc::ptr_eq(&*current_store, from_version) {
                *current_store =
                    self.inner
                        .builder
                        .clone()
                        .build_impl(true)
                        .await
                        .map_err(|e| {
                            e.wrap_msg(|e| format!("attempt to rebuild object store failed: {e}"))
                        })?;
            }

            self.rebuilt.store(true);

            Ok((*current_store).clone())
        }

        pub async fn try_exec_rebuild_on_err<Fn, Fut, O>(&self, mut func: Fn) -> PolarsResult<O>
        where
            Fn: FnMut(&Arc<dyn ObjectStore>) -> Fut,
            Fut: Future<Output = PolarsResult<O>>,
        {
            let store = self.to_dyn_object_store().await;

            let out = func(&store).await;

            let orig_err = match out {
                Ok(v) => return Ok(v),
                Err(e) => e,
            };

            if config::verbose() {
                eprintln!(
                    "[PolarsObjectStore]: got error: {}, will attempt re-build",
                    &orig_err
                );
            }

            let store = self
                .rebuild_inner(&store)
                .await
                .map_err(|e| e.wrap_msg(|e| format!("{e}; original error: {orig_err}")))?;

            func(&store).await.map_err(|e| {
                if self.inner.builder.is_azure()
                    && std::env::var("POLARS_AUTO_USE_AZURE_STORAGE_ACCOUNT_KEY").as_deref()
                        != Ok("1")
                {
                    // Note: This error is intended for Python audiences. The logic for retrieving
                    // these keys exist only on the Python side.
                    e.wrap_msg(|e| {
                        format!(
                            "{e}; note: if you are using Python, consider setting \
POLARS_AUTO_USE_AZURE_STORAGE_ACCOUNT_KEY=1 if you would like polars to try to retrieve \
and use the storage account keys from Azure CLI to authenticate"
                        )
                    })
                } else {
                    e
                }
            })
        }
    }
}

pub use inner::PolarsObjectStore;

pub type ObjectStorePath = object_store::path::Path;

impl PolarsObjectStore {
    /// Returns a buffered stream that downloads concurrently up to the concurrency limit.
    fn get_buffered_ranges_stream<'a, T: Iterator<Item = Range<usize>>>(
        store: &'a dyn ObjectStore,
        path: &'a Path,
        ranges: T,
    ) -> impl StreamExt<Item = PolarsResult<Bytes>>
    + TryStreamExt<Ok = Bytes, Error = PolarsError, Item = PolarsResult<Bytes>>
    + use<'a, T> {
        futures::stream::iter(ranges.map(move |range| async move {
            if range.is_empty() {
                return Ok(Bytes::new());
            }

            let out = store
                .get_range(path, range.start as u64..range.end as u64)
                .await?;
            Ok(out)
        }))
        // Add a limit locally as this gets run inside a single `tune_with_concurrency_budget`.
        .buffered(get_concurrency_limit() as usize)
    }

    pub async fn get_range(&self, path: &Path, range: Range<usize>) -> PolarsResult<Bytes> {
        if range.is_empty() {
            return Ok(Bytes::new());
        }

        self.try_exec_rebuild_on_err(move |store| {
            let range = range.clone();
            let st = store.clone();

            async move {
                let store = st;
                let parts = split_range(range.clone());

                if parts.len() == 1 {
                    let out = tune_with_concurrency_budget(1, move || async move {
                        store
                            .get_range(path, range.start as u64..range.end as u64)
                            .await
                    })
                    .await?;

                    Ok(out)
                } else {
                    let parts = tune_with_concurrency_budget(
                        parts.len().clamp(0, MAX_BUDGET_PER_REQUEST) as u32,
                        || {
                            Self::get_buffered_ranges_stream(&store, path, parts)
                                .try_collect::<Vec<Bytes>>()
                        },
                    )
                    .await?;

                    let mut combined = Vec::with_capacity(range.len());

                    for part in parts {
                        combined.extend_from_slice(&part)
                    }

                    assert_eq!(combined.len(), range.len());

                    PolarsResult::Ok(Bytes::from(combined))
                }
            }
        })
        .await
    }

    /// Fetch byte ranges into a HashMap keyed by the range start. This will mutably sort the
    /// `ranges` slice for coalescing.
    ///
    /// # Panics
    /// Panics if the same range start is used by more than 1 range.
    pub async fn get_ranges_sort(
        &self,
        path: &Path,
        ranges: &mut [Range<usize>],
    ) -> PolarsResult<PlHashMap<usize, MemSlice>> {
        if ranges.is_empty() {
            return Ok(Default::default());
        }

        ranges.sort_unstable_by_key(|x| x.start);

        let ranges_len = ranges.len();
        let (merged_ranges, merged_ends): (Vec<_>, Vec<_>) = merge_ranges(ranges).unzip();

        self.try_exec_rebuild_on_err(|store| {
            let st = store.clone();

            async {
                let store = st;
                let mut out = PlHashMap::with_capacity(ranges_len);

                let mut stream =
                    Self::get_buffered_ranges_stream(&store, path, merged_ranges.iter().cloned());

                tune_with_concurrency_budget(
                    merged_ranges.len().clamp(0, MAX_BUDGET_PER_REQUEST) as u32,
                    || async {
                        let mut len = 0;
                        let mut current_offset = 0;
                        let mut ends_iter = merged_ends.iter();

                        let mut splitted_parts = vec![];

                        while let Some(bytes) = stream.try_next().await? {
                            len += bytes.len();
                            let end = *ends_iter.next().unwrap();

                            if end == 0 {
                                splitted_parts.push(bytes);
                                continue;
                            }

                            let full_range = ranges[current_offset..end]
                                .iter()
                                .cloned()
                                .reduce(|l, r| l.start.min(r.start)..l.end.max(r.end))
                                .unwrap();

                            let bytes = if splitted_parts.is_empty() {
                                bytes
                            } else {
                                let mut out = Vec::with_capacity(full_range.len());

                                for x in splitted_parts.drain(..) {
                                    out.extend_from_slice(&x);
                                }

                                out.extend_from_slice(&bytes);
                                Bytes::from(out)
                            };

                            assert_eq!(bytes.len(), full_range.len());

                            let bytes = MemSlice::from_bytes(bytes);

                            for range in &ranges[current_offset..end] {
                                let mem_slice = bytes.slice(
                                    range.start - full_range.start..range.end - full_range.start,
                                );

                                match out.raw_entry_mut().from_key(&range.start) {
                                    RawEntryMut::Vacant(slot) => {
                                        slot.insert(range.start, mem_slice);
                                    },
                                    RawEntryMut::Occupied(mut slot) => {
                                        if slot.get_mut().len() < mem_slice.len() {
                                            *slot.get_mut() = mem_slice;
                                        }
                                    },
                                }
                            }

                            current_offset = end;
                        }

                        assert!(splitted_parts.is_empty());

                        PolarsResult::Ok(pl_async::Size::from(len as u64))
                    },
                )
                .await?;

                Ok(out)
            }
        })
        .await
    }

    pub async fn download(&self, path: &Path, file: &mut tokio::fs::File) -> PolarsResult<()> {
        let opt_size = self.head(path).await.ok().map(|x| x.size);

        let initial_pos = file.stream_position().await?;

        self.try_exec_rebuild_on_err(|store| {
            let st = store.clone();

            // Workaround for "can't move captured variable".
            let file: &mut tokio::fs::File = unsafe { std::mem::transmute_copy(&file) };

            async {
                file.set_len(initial_pos).await?; // Reset if this function was called again.

                let store = st;
                let parts = opt_size
                    .map(|x| split_range(0..x as usize))
                    .filter(|x| x.len() > 1);

                if let Some(parts) = parts {
                    tune_with_concurrency_budget(
                        parts.len().clamp(0, MAX_BUDGET_PER_REQUEST) as u32,
                        || async {
                            let mut stream = Self::get_buffered_ranges_stream(&store, path, parts);
                            let mut len = 0;
                            while let Some(bytes) = stream.try_next().await? {
                                len += bytes.len();
                                file.write_all(&bytes).await?;
                            }

                            assert_eq!(len, opt_size.unwrap() as usize);

                            PolarsResult::Ok(pl_async::Size::from(len as u64))
                        },
                    )
                    .await?
                } else {
                    tune_with_concurrency_budget(1, || async {
                        let mut stream = store.get(path).await?.into_stream();

                        let mut len = 0;
                        while let Some(bytes) = stream.try_next().await? {
                            len += bytes.len();
                            file.write_all(&bytes).await?;
                        }

                        PolarsResult::Ok(pl_async::Size::from(len as u64))
                    })
                    .await?
                };

                // Dropping is delayed for tokio async files so we need to explicitly
                // flush here (https://github.com/tokio-rs/tokio/issues/2307#issuecomment-596336451).
                file.sync_all().await.map_err(PolarsError::from)?;

                Ok(())
            }
        })
        .await
    }

    /// Fetch the metadata of the parquet file, do not memoize it.
    pub async fn head(&self, path: &Path) -> PolarsResult<ObjectMeta> {
        self.try_exec_rebuild_on_err(|store| {
            let st = store.clone();

            async {
                with_concurrency_budget(1, || async {
                    let store = st;
                    let head_result = store.head(path).await;

                    if head_result.is_err() {
                        // Pre-signed URLs forbid the HEAD method, but we can still retrieve the header
                        // information with a range 0-0 request.
                        let get_range_0_0_result = store
                            .get_opts(
                                path,
                                object_store::GetOptions {
                                    range: Some((0..1).into()),
                                    ..Default::default()
                                },
                            )
                            .await;

                        if let Ok(v) = get_range_0_0_result {
                            return Ok(v.meta);
                        }
                    }

                    let out = head_result?;

                    Ok(out)
                })
                .await
            }
        })
        .await
    }
}

/// Splits a single range into multiple smaller ranges, which can be downloaded concurrently for
/// much higher throughput.
fn split_range(range: Range<usize>) -> impl ExactSizeIterator<Item = Range<usize>> {
    let chunk_size = get_download_chunk_size();

    // Calculate n_parts such that we are as close as possible to the `chunk_size`.
    let n_parts = [
        (range.len().div_ceil(chunk_size)).max(1),
        (range.len() / chunk_size).max(1),
    ]
    .into_iter()
    .min_by_key(|x| (range.len() / *x).abs_diff(chunk_size))
    .unwrap();

    let chunk_size = (range.len() / n_parts).max(1);

    assert_eq!(n_parts, (range.len() / chunk_size).max(1));
    let bytes_rem = range.len() % chunk_size;

    (0..n_parts).map(move |part_no| {
        let (start, end) = if part_no == 0 {
            // Download remainder length in the first chunk since it starts downloading first.
            let end = range.start + chunk_size + bytes_rem;
            let end = if end > range.end { range.end } else { end };
            (range.start, end)
        } else {
            let start = bytes_rem + range.start + part_no * chunk_size;
            (start, start + chunk_size)
        };

        start..end
    })
}

/// Note: For optimal performance, `ranges` should be sorted. More generally,
/// ranges placed next to each other should also be close in range value.
///
/// # Returns
/// `[(range1, end1), (range2, end2)]`, where:
/// * `range1` contains bytes for the ranges from `ranges[0..end1]`
/// * `range2` contains bytes for the ranges from `ranges[end1..end2]`
/// * etc..
///
/// Note that if an end value is 0, it means the range is a splitted part and should be combined.
fn merge_ranges(ranges: &[Range<usize>]) -> impl Iterator<Item = (Range<usize>, usize)> + '_ {
    let chunk_size = get_download_chunk_size();

    let mut current_merged_range = ranges.first().map_or(0..0, Clone::clone);
    // Number of fetched bytes excluding excess.
    let mut current_n_bytes = current_merged_range.len();

    (0..ranges.len())
        .filter_map(move |current_idx| {
            let current_idx = 1 + current_idx;

            if current_idx == ranges.len() {
                // No more items - flush current state.
                Some((current_merged_range.clone(), current_idx))
            } else {
                let range = ranges[current_idx].clone();

                let new_merged = current_merged_range.start.min(range.start)
                    ..current_merged_range.end.max(range.end);

                // E.g.:
                // |--------|
                //  oo        // range1
                //       oo   // range2
                //    ^^^     // distance = 3, is_overlapping = false
                // E.g.:
                // |--------|
                //  ooooo     // range1
                //     ooooo  // range2
                //     ^^     // distance = 2, is_overlapping = true
                let (distance, is_overlapping) = {
                    let l = current_merged_range.end.min(range.end);
                    let r = current_merged_range.start.max(range.start);

                    (r.abs_diff(l), r < l)
                };

                let should_merge = is_overlapping || {
                    let leq_current_len_dist_to_chunk_size = new_merged.len().abs_diff(chunk_size)
                        <= current_merged_range.len().abs_diff(chunk_size);
                    let gap_tolerance =
                        (current_n_bytes.max(range.len()) / 8).clamp(1024 * 1024, 8 * 1024 * 1024);

                    leq_current_len_dist_to_chunk_size && distance <= gap_tolerance
                };

                if should_merge {
                    // Merge to existing range
                    current_merged_range = new_merged;
                    current_n_bytes += if is_overlapping {
                        range.len() - distance
                    } else {
                        range.len()
                    };
                    None
                } else {
                    let out = (current_merged_range.clone(), current_idx);
                    current_merged_range = range;
                    current_n_bytes = current_merged_range.len();
                    Some(out)
                }
            }
        })
        .flat_map(|x| {
            // Split large individual ranges within the list of ranges.
            let (range, end) = x;
            let split = split_range(range);
            let len = split.len();

            split
                .enumerate()
                .map(move |(i, range)| (range, if 1 + i == len { end } else { 0 }))
        })
}

#[cfg(test)]
mod tests {

    #[test]
    fn test_split_range() {
        use super::{get_download_chunk_size, split_range};

        let chunk_size = get_download_chunk_size();

        assert_eq!(chunk_size, 64 * 1024 * 1024);

        #[allow(clippy::single_range_in_vec_init)]
        {
            // Round-trip empty ranges.
            assert_eq!(split_range(0..0).collect::<Vec<_>>(), [0..0]);
            assert_eq!(split_range(3..3).collect::<Vec<_>>(), [3..3]);
        }

        // Threshold to start splitting to 2 ranges
        //
        // n - chunk_size == chunk_size - n / 2
        // n + n / 2 == 2 * chunk_size
        // 3 * n == 4 * chunk_size
        // n = 4 * chunk_size / 3
        let n = 4 * chunk_size / 3;

        #[allow(clippy::single_range_in_vec_init)]
        {
            assert_eq!(split_range(0..n).collect::<Vec<_>>(), [0..89478485]);
        }

        assert_eq!(
            split_range(0..n + 1).collect::<Vec<_>>(),
            [0..44739243, 44739243..89478486]
        );

        // Threshold to start splitting to 3 ranges
        //
        // n / 2 - chunk_size == chunk_size - n / 3
        // n / 2 + n / 3 == 2 * chunk_size
        // 5 * n == 12 * chunk_size
        // n == 12 * chunk_size / 5
        let n = 12 * chunk_size / 5;

        assert_eq!(
            split_range(0..n).collect::<Vec<_>>(),
            [0..80530637, 80530637..161061273]
        );

        assert_eq!(
            split_range(0..n + 1).collect::<Vec<_>>(),
            [0..53687092, 53687092..107374183, 107374183..161061274]
        );
    }

    #[test]
    fn test_merge_ranges() {
        use super::{get_download_chunk_size, merge_ranges};

        let chunk_size = get_download_chunk_size();

        assert_eq!(chunk_size, 64 * 1024 * 1024);

        // Round-trip empty slice
        assert_eq!(merge_ranges(&[]).collect::<Vec<_>>(), []);

        // We have 1 tiny request followed by 1 huge request. They are combined as it reduces the
        // `abs_diff()` to the `chunk_size`, but afterwards they are split to 2 evenly sized
        // requests.
        assert_eq!(
            merge_ranges(&[0..1, 1..127 * 1024 * 1024]).collect::<Vec<_>>(),
            [(0..66584576, 0), (66584576..133169152, 2)]
        );

        // <= 1MiB gap, merge
        assert_eq!(
            merge_ranges(&[0..1, 1024 * 1024 + 1..1024 * 1024 + 2]).collect::<Vec<_>>(),
            [(0..1048578, 2)]
        );

        // > 1MiB gap, do not merge
        assert_eq!(
            merge_ranges(&[0..1, 1024 * 1024 + 2..1024 * 1024 + 3]).collect::<Vec<_>>(),
            [(0..1, 1), (1048578..1048579, 2)]
        );

        // <= 12.5% gap, merge
        assert_eq!(
            merge_ranges(&[0..8, 10..11]).collect::<Vec<_>>(),
            [(0..11, 2)]
        );

        // <= 12.5% gap relative to RHS, merge
        assert_eq!(
            merge_ranges(&[0..1, 3..11]).collect::<Vec<_>>(),
            [(0..11, 2)]
        );

        // Overlapping range, merge
        assert_eq!(
            merge_ranges(&[0..80 * 1024 * 1024, 10 * 1024 * 1024..70 * 1024 * 1024])
                .collect::<Vec<_>>(),
            [(0..80 * 1024 * 1024, 2)]
        );
    }
}
