#!/usr/bin/env python3
import io
import lzma
import os
import pathlib
import struct
import sys
import time
from abc import ABC, abstractmethod
from collections import defaultdict, namedtuple
from collections.abc import Callable
from typing import IO

import requests
from Crypto.Hash import SHA512
from openpilot.system.updated.casync import tar
from openpilot.system.updated.casync.common import create_casync_tar_package

CA_FORMAT_INDEX = 0x96824d9c7b129ff9
CA_FORMAT_TABLE = 0xe75b9e112f17417d
CA_FORMAT_TABLE_TAIL_MARKER = 0xe75b9e112f17417
FLAGS = 0xb000000000000000

CA_HEADER_LEN = 48
CA_TABLE_HEADER_LEN = 16
CA_TABLE_ENTRY_LEN = 40
CA_TABLE_MIN_LEN = CA_TABLE_HEADER_LEN + CA_TABLE_ENTRY_LEN

CHUNK_DOWNLOAD_TIMEOUT = 60
CHUNK_DOWNLOAD_RETRIES = 3

CAIBX_DOWNLOAD_TIMEOUT = 120

Chunk = namedtuple('Chunk', ['sha', 'offset', 'length'])
ChunkDict = dict[bytes, Chunk]


class ChunkReader(ABC):
  @abstractmethod
  def read(self, chunk: Chunk) -> bytes:
    ...


class BinaryChunkReader(ChunkReader):
  """Reads chunks from a local file"""
  def __init__(self, file_like: IO[bytes]) -> None:
    super().__init__()
    self.f = file_like

  def read(self, chunk: Chunk) -> bytes:
    self.f.seek(chunk.offset)
    return self.f.read(chunk.length)


class FileChunkReader(BinaryChunkReader):
  def __init__(self, path: str) -> None:
    super().__init__(open(path, 'rb'))

  def __del__(self):
    self.f.close()


class RemoteChunkReader(ChunkReader):
  """Reads lzma compressed chunks from a remote store"""

  def __init__(self, url: str) -> None:
    super().__init__()
    self.url = url
    self.session = requests.Session()

  def read(self, chunk: Chunk) -> bytes:
    sha_hex = chunk.sha.hex()
    url = os.path.join(self.url, sha_hex[:4], sha_hex + ".cacnk")

    if os.path.isfile(url):
      with open(url, 'rb') as f:
        contents = f.read()
    else:
      for i in range(CHUNK_DOWNLOAD_RETRIES):
        try:
          resp = self.session.get(url, timeout=CHUNK_DOWNLOAD_TIMEOUT)
          break
        except Exception:
          if i == CHUNK_DOWNLOAD_RETRIES - 1:
            raise
          time.sleep(CHUNK_DOWNLOAD_TIMEOUT)

      resp.raise_for_status()
      contents = resp.content

    decompressor = lzma.LZMADecompressor(format=lzma.FORMAT_AUTO)
    return decompressor.decompress(contents)


class DirectoryTarChunkReader(BinaryChunkReader):
  """creates a tar archive of a directory and reads chunks from it"""

  def __init__(self, path: str, cache_file: str) -> None:
    create_casync_tar_package(pathlib.Path(path), pathlib.Path(cache_file))

    self.f = open(cache_file, "rb")
    return super().__init__(self.f)

  def __del__(self):
    self.f.close()
    os.unlink(self.f.name)


def parse_caibx(caibx_path: str) -> list[Chunk]:
  """Parses the chunks from a caibx file. Can handle both local and remote files.
  Returns a list of chunks with hash, offset and length"""
  caibx: io.BufferedIOBase
  if os.path.isfile(caibx_path):
    caibx = open(caibx_path, 'rb')
  else:
    resp = requests.get(caibx_path, timeout=CAIBX_DOWNLOAD_TIMEOUT)
    resp.raise_for_status()
    caibx = io.BytesIO(resp.content)

  caibx.seek(0, os.SEEK_END)
  caibx_len = caibx.tell()
  caibx.seek(0, os.SEEK_SET)

  # Parse header
  length, magic, flags, min_size, _, max_size = struct.unpack("<QQQQQQ", caibx.read(CA_HEADER_LEN))
  assert flags == flags
  assert length == CA_HEADER_LEN
  assert magic == CA_FORMAT_INDEX

  # Parse table header
  length, magic = struct.unpack("<QQ", caibx.read(CA_TABLE_HEADER_LEN))
  assert magic == CA_FORMAT_TABLE

  # Parse chunks
  num_chunks = (caibx_len - CA_HEADER_LEN - CA_TABLE_MIN_LEN) // CA_TABLE_ENTRY_LEN
  chunks = []

  offset = 0
  for i in range(num_chunks):
    new_offset = struct.unpack("<Q", caibx.read(8))[0]

    sha = caibx.read(32)
    length = new_offset - offset

    assert length <= max_size

    # Last chunk can be smaller
    if i < num_chunks - 1:
      assert length >= min_size

    chunks.append(Chunk(sha, offset, length))
    offset = new_offset

  caibx.close()
  return chunks


def build_chunk_dict(chunks: list[Chunk]) -> ChunkDict:
  """Turn a list of chunks into a dict for faster lookups based on hash.
  Keep first chunk since it's more likely to be already downloaded."""
  r = {}
  for c in chunks:
    if c.sha not in r:
      r[c.sha] = c
  return r


def extract(target: list[Chunk],
            sources: list[tuple[str, ChunkReader, ChunkDict]],
            out_path: str,
            progress: Callable[[int], None] = None):
  stats: dict[str, int] = defaultdict(int)

  mode = 'rb+' if os.path.exists(out_path) else 'wb'
  with open(out_path, mode) as out:
    for cur_chunk in target:

      # Find source for desired chunk
      for name, chunk_reader, store_chunks in sources:
        if cur_chunk.sha in store_chunks:
          bts = chunk_reader.read(store_chunks[cur_chunk.sha])

          # Check length
          if len(bts) != cur_chunk.length:
            continue

          # Check hash
          if SHA512.new(bts, truncate="256").digest() != cur_chunk.sha:
            continue

          # Write to output
          out.seek(cur_chunk.offset)
          out.write(bts)

          stats[name] += cur_chunk.length

          if progress is not None:
            progress(sum(stats.values()))

          break
      else:
        raise RuntimeError("Desired chunk not found in provided stores")

  return stats


def extract_directory(target: list[Chunk],
            sources: list[tuple[str, ChunkReader, ChunkDict]],
            out_path: str,
            tmp_file: str,
            progress: Callable[[int], None] = None):
  """extract a directory stored as a casync tar archive"""

  stats = extract(target, sources, tmp_file, progress)

  with open(tmp_file, "rb") as f:
    tar.extract_tar_archive(f, pathlib.Path(out_path))

  return stats


def print_stats(stats: dict[str, int]):
  total_bytes = sum(stats.values())
  print(f"Total size: {total_bytes / 1024 / 1024:.2f} MB")
  for name, total in stats.items():
    print(f"  {name}: {total / 1024 / 1024:.2f} MB ({total / total_bytes * 100:.1f}%)")


def extract_simple(caibx_path, out_path, store_path):
  # (name, callback, chunks)
  target = parse_caibx(caibx_path)
  sources = [
    # (store_path, RemoteChunkReader(store_path), build_chunk_dict(target)),
    (store_path, FileChunkReader(store_path), build_chunk_dict(target)),
  ]

  return extract(target, sources, out_path)


if __name__ == "__main__":
  caibx = sys.argv[1]
  out = sys.argv[2]
  store = sys.argv[3]

  stats = extract_simple(caibx, out, store)
  print_stats(stats)