import math
from typing import Iterator, List, Optional, Tuple

import numpy as np

from ray.data.block import Block, BlockMetadata
from ray.data._internal.memory_tracing import trace_allocation
from ray.types import ObjectRef


class BlockList:
    """A list of blocks that may be computed or pending computation.

    In the basic version of BlockList, all blocks are known ahead of time. In
    LazyBlockList, blocks are not yet computed, so the number of blocks may
    change after execution due to block splitting.
    """

    def __init__(
        self,
        blocks: List[ObjectRef[Block]],
        metadata: List[BlockMetadata],
        *,
        owned_by_consumer: bool,
    ):
        assert len(blocks) == len(metadata), (blocks, metadata)
        for b in blocks:
            trace_allocation(b, "BlockList.__init__")
        self._blocks: List[ObjectRef[Block]] = blocks
        self._num_blocks = len(self._blocks)
        self._metadata: List[BlockMetadata] = metadata
        # Whether the block list is owned by consuming APIs, and if so it can be
        # eagerly deleted after read by the consumer.
        self._owned_by_consumer = owned_by_consumer

    def __repr__(self):
        return f"BlockList(owned_by_consumer={self._owned_by_consumer})"

    def get_metadata(self, fetch_if_missing: bool = False) -> List[BlockMetadata]:
        """Get the metadata for all blocks."""
        return self._metadata.copy()

    def copy(self) -> "BlockList":
        """Perform a shallow copy of this BlockList."""
        return BlockList(
            self._blocks, self._metadata, owned_by_consumer=self._owned_by_consumer
        )

    def clear(self) -> None:
        """Erase references to the tasks tracked by the BlockList."""
        self._blocks = None

    def is_cleared(self) -> bool:
        """Whether this BlockList has been cleared."""
        return self._blocks is None

    def _check_if_cleared(self) -> None:
        """Raise an error if this BlockList has been previously cleared."""
        if self.is_cleared():
            raise ValueError(
                "This Dataset's blocks have been moved, which means that you "
                "can no longer use this Dataset."
            )

    def split(self, split_size: int) -> List["BlockList"]:
        """Split this BlockList into multiple lists.

        Args:
            split_size: The number of lists to split into.
        """
        self._check_if_cleared()
        num_splits = math.ceil(len(self._blocks) / split_size)
        blocks = np.array_split(self._blocks, num_splits)
        meta = np.array_split(self._metadata, num_splits)
        output = []
        for b, m in zip(blocks, meta):
            output.append(
                BlockList(
                    b.tolist(), m.tolist(), owned_by_consumer=self._owned_by_consumer
                )
            )
        return output

    def split_by_bytes(self, bytes_per_split: int) -> List["BlockList"]:
        """Split this BlockList into multiple lists.

        Args:
            bytes_per_split: The max number of bytes per split.
        """
        self._check_if_cleared()
        output = []
        cur_blocks = []
        cur_meta = []
        cur_size = 0
        for b, m in zip(self._blocks, self._metadata):
            if m.size_bytes is None:
                raise RuntimeError(
                    "Block has unknown size, cannot use split_by_bytes()"
                )
            size = m.size_bytes
            if cur_blocks and cur_size + size > bytes_per_split:
                output.append(
                    BlockList(
                        cur_blocks, cur_meta, owned_by_consumer=self._owned_by_consumer
                    )
                )
                cur_blocks = []
                cur_meta = []
                cur_size = 0
            cur_blocks.append(b)
            cur_meta.append(m)
            cur_size += size
        if cur_blocks:
            output.append(
                BlockList(
                    cur_blocks, cur_meta, owned_by_consumer=self._owned_by_consumer
                )
            )
        return output

    def truncate_by_rows(self, limit: int) -> "BlockList":
        """Truncate the block list to the minimum number of blocks that contains at
        least limit rows.

        If the number of rows is not available, it will be treated as a 0-row block and
        will be included in the truncated output.
        """
        self._check_if_cleared()
        out_blocks = []
        out_meta = []
        out_num_rows = 0
        for b, m in self.iter_blocks_with_metadata():
            num_rows = m.num_rows
            if num_rows is None:
                num_rows = 0
            out_blocks.append(b)
            out_meta.append(m)
            out_num_rows += num_rows
            if out_num_rows >= limit:
                break
        return BlockList(
            out_blocks, out_meta, owned_by_consumer=self._owned_by_consumer
        )

    def size_bytes(self) -> int:
        """Returns the total size in bytes of the blocks, or -1 if not known."""
        size = 0
        has_size = False
        for m in self.get_metadata():
            if m.size_bytes is not None:
                has_size = True
                size += m.size_bytes
        if not has_size:
            return -1
        else:
            return size

    def divide(self, block_idx: int) -> ("BlockList", "BlockList"):
        """Divide into two BlockLists by the given block index.

        Args:
            block_idx: The block index to divide at.
        """
        self._check_if_cleared()
        return (
            BlockList(
                self._blocks[:block_idx],
                self._metadata[:block_idx],
                owned_by_consumer=self._owned_by_consumer,
            ),
            BlockList(
                self._blocks[block_idx:],
                self._metadata[block_idx:],
                owned_by_consumer=self._owned_by_consumer,
            ),
        )

    def get_blocks(self) -> List[ObjectRef[Block]]:
        """Bulk version of iter_blocks().

        Prefer calling this instead of the iter form for performance if you
        don't need lazy evaluation.
        """
        # Overriden in LazyBlockList for bulk evaluation.
        return list(self.iter_blocks())

    def iter_blocks(self) -> Iterator[ObjectRef[Block]]:
        """Iterate over the blocks of this block list.

        This blocks on the execution of the tasks generating block outputs.
        The length of this iterator is not known until execution.
        """
        self._check_if_cleared()
        return iter(self._blocks)

    def get_blocks_with_metadata(self) -> List[Tuple[ObjectRef[Block], BlockMetadata]]:
        """Bulk version of iter_blocks_with_metadata().

        Prefer calling this instead of the iter form for performance if you
        don't need lazy evaluation.
        """
        self.get_blocks()  # Force bulk evaluation in LazyBlockList.
        return list(self.iter_blocks_with_metadata())

    def iter_blocks_with_metadata(
        self,
    ) -> Iterator[Tuple[ObjectRef[Block], BlockMetadata]]:
        """Iterate over the blocks along with their runtime metadata.

        This blocks on the execution of the tasks generating block outputs.
        The length of this iterator is not known until execution.
        """
        self._check_if_cleared()
        return zip(self._blocks, self._metadata)

    def initial_num_blocks(self) -> int:
        """Returns the number of blocks of this BlockList."""
        return self._num_blocks

    def executed_num_blocks(self) -> int:
        """Returns the number of output blocks after execution.

        This may differ from initial_num_blocks() for LazyBlockList, which
        doesn't know how many blocks will be produced until tasks finish.
        """
        return len(self.get_blocks())

    def randomize_block_order(self, seed: Optional[int] = None) -> "BlockList":
        """Randomizes the order of the blocks.

        Args:
            seed: Fix the random seed to use, otherwise one will be chosen
                based on system randomness.
        """
        import random

        if seed is not None:
            random.seed(seed)

        blocks_with_metadata = self.get_blocks_with_metadata()
        random.shuffle(blocks_with_metadata)
        blocks, metadata = map(list, zip(*blocks_with_metadata))

        return BlockList(blocks, metadata, owned_by_consumer=self._owned_by_consumer)
