import logging
import time

from contextlib import contextmanager
from collections import namedtuple

import bitmath
import resumablehashlib

from data.registry_model import registry_model
from data.database import CloseForLongOperation, db_transaction
from digest import digest_tools
from util.registry.filelike import wrap_with_handler, StreamSlice
from util.registry.gzipstream import calculate_size_handler
from util.registry.torrent import PieceHasher


logger = logging.getLogger(__name__)


BLOB_CONTENT_TYPE = 'application/octet-stream'


class BlobUploadException(Exception):
  """ Base for all exceptions raised when uploading blobs. """

class BlobDigestMismatchException(BlobUploadException):
  """ Exception raised if the digest requested does not match that of the contents uploaded. """

class BlobTooLargeException(BlobUploadException):
  """ Exception raised if the data uploaded exceeds the maximum_blob_size. """
  def __init__(self, uploaded, max_allowed):
    super(BlobTooLargeException, self).__init__()
    self.uploaded = uploaded
    self.max_allowed = max_allowed


BlobUploadSettings = namedtuple('BlobUploadSettings', ['maximum_blob_size', 'bittorrent_piece_size',
                                                       'committed_blob_expiration'])


def create_blob_upload(repository_ref, storage, settings, extra_blob_stream_handlers=None):
  """ Creates a new blob upload in the specified repository and returns a manager for interacting
      with that upload. Returns None if a new blob upload could not be started.
  """
  location_name = storage.preferred_locations[0]
  new_upload_uuid, upload_metadata = storage.initiate_chunked_upload(location_name)
  blob_upload = registry_model.create_blob_upload(repository_ref, new_upload_uuid, location_name,
                                                  upload_metadata)
  if blob_upload is None:
    return None

  return _BlobUploadManager(repository_ref, blob_upload, settings, storage,
                            extra_blob_stream_handlers)


def retrieve_blob_upload_manager(repository_ref, blob_upload_id, storage, settings):
  """ Retrieves the manager for an in-progress blob upload with the specified ID under the given
      repository or None if none.
  """
  blob_upload = registry_model.lookup_blob_upload(repository_ref, blob_upload_id)
  if blob_upload is None:
    return None

  return _BlobUploadManager(repository_ref, blob_upload, settings, storage)


@contextmanager
def upload_blob(repository_ref, storage, settings, extra_blob_stream_handlers=None):
  """ Starts a new blob upload in the specified repository and yields a manager for interacting
      with that upload. When the context manager completes, the blob upload is deleted, whether
      committed to a blob or not. Yields None if a blob upload could not be started.
  """
  created = create_blob_upload(repository_ref, storage, settings, extra_blob_stream_handlers)
  if not created:
    yield None
    return

  try:
    yield created
  except Exception as ex:
    logger.exception('Exception when uploading blob `%s`', created.blob_upload_id)
    raise ex
  finally:
    # Cancel the upload if something went wrong or it was not commit to a blob.
    if created.committed_blob is None:
      created.cancel_upload()


class _BlobUploadManager(object):
  """ Defines a helper class for easily interacting with blob uploads in progress, including
      handling of database and storage calls.
  """
  def __init__(self, repository_ref, blob_upload, settings, storage,
               extra_blob_stream_handlers=None):
    self.repository_ref = repository_ref
    self.blob_upload = blob_upload
    self.settings = settings
    self.storage = storage
    self.extra_blob_stream_handlers = extra_blob_stream_handlers
    self.committed_blob = None

  @property
  def blob_upload_id(self):
    """ Returns the unique ID for the blob upload. """
    return self.blob_upload.upload_id

  def upload_chunk(self, app_config, input_fp, start_offset=0, length=-1, metric_queue=None):
    """ Uploads a chunk of data found in the given input file-like interface. start_offset and
        length are optional and should match a range header if any was given.

        If metric_queue is given, the upload time and chunk size are written into the metrics in
        the queue.

        Returns the total number of bytes uploaded after this upload has completed. Raises
        a BlobUploadException if the upload failed.
    """
    assert start_offset is not None
    assert length is not None

    if start_offset > 0 and start_offset > self.blob_upload.byte_count:
      logger.error('start_offset provided greater than blob_upload.byte_count')
      return None

    # Ensure that we won't go over the allowed maximum size for blobs.
    max_blob_size = bitmath.parse_string_unsafe(self.settings.maximum_blob_size)
    uploaded = bitmath.Byte(length + start_offset)
    if length > -1 and uploaded > max_blob_size:
      raise BlobTooLargeException(uploaded=uploaded.bytes, max_allowed=max_blob_size.bytes)

    location_set = {self.blob_upload.location_name}
    upload_error = None
    with CloseForLongOperation(app_config):
      if start_offset > 0 and start_offset < self.blob_upload.byte_count:
        # Skip the bytes which were received on a previous push, which are already stored and
        # included in the sha calculation
        overlap_size = self.blob_upload.byte_count - start_offset
        input_fp = StreamSlice(input_fp, overlap_size)

        # Update our upload bounds to reflect the skipped portion of the overlap
        start_offset = self.blob_upload.byte_count
        length = max(length - overlap_size, 0)

      # We use this to escape early in case we have already processed all of the bytes the user
      # wants to upload.
      if length == 0:
        return self.blob_upload.byte_count

      input_fp = wrap_with_handler(input_fp, self.blob_upload.sha_state.update)

      if self.extra_blob_stream_handlers:
        for handler in self.extra_blob_stream_handlers:
          input_fp = wrap_with_handler(input_fp, handler)

      # Add a hasher for calculating SHA1s for torrents if this is the first chunk and/or we have
      # already calculated hash data for the previous chunk(s).
      piece_hasher = None
      if self.blob_upload.chunk_count == 0 or self.blob_upload.piece_sha_state:
        initial_sha1_value = self.blob_upload.piece_sha_state or resumablehashlib.sha1()
        initial_sha1_pieces_value = self.blob_upload.piece_hashes or ''

        piece_hasher = PieceHasher(self.settings.bittorrent_piece_size, start_offset,
                                   initial_sha1_pieces_value, initial_sha1_value)
        input_fp = wrap_with_handler(input_fp, piece_hasher.update)

      # If this is the first chunk and we're starting at the 0 offset, add a handler to gunzip the
      # stream so we can determine the uncompressed size. We'll throw out this data if another chunk
      # comes in, but in the common case the docker client only sends one chunk.
      size_info = None
      if start_offset == 0 and self.blob_upload.chunk_count == 0:
        size_info, fn = calculate_size_handler()
        input_fp = wrap_with_handler(input_fp, fn)

      start_time = time.time()
      length_written, new_metadata, upload_error = self.storage.stream_upload_chunk(
        location_set,
        self.blob_upload.upload_id,
        start_offset,
        length,
        input_fp,
        self.blob_upload.storage_metadata,
        content_type=BLOB_CONTENT_TYPE,
      )

      if upload_error is not None:
        logger.error('storage.stream_upload_chunk returned error %s', upload_error)
        raise BlobUploadException(upload_error)

      # Update the chunk upload time metric.
      if metric_queue is not None:
        metric_queue.chunk_upload_time.Observe(time.time() - start_time, labelvalues=[
          length_written, list(location_set)[0]])

    # Ensure we have not gone beyond the max layer size.
    new_blob_bytes = self.blob_upload.byte_count + length_written
    new_blob_size = bitmath.Byte(new_blob_bytes)
    if new_blob_size > max_blob_size:
      raise BlobTooLargeException(uploaded=new_blob_size, max_allowed=max_blob_size.bytes)

    # If we determined an uncompressed size and this is the first chunk, add it to the blob.
    # Otherwise, we clear the size from the blob as it was uploaded in multiple chunks.
    uncompressed_byte_count = self.blob_upload.uncompressed_byte_count
    if size_info is not None and self.blob_upload.chunk_count == 0 and size_info.is_valid:
      uncompressed_byte_count = size_info.uncompressed_size
    elif length_written > 0:
      # Otherwise, if we wrote some bytes and the above conditions were not met, then we don't
      # know the uncompressed size.
      uncompressed_byte_count = None

    piece_hashes = None
    piece_sha_state = None
    if piece_hasher is not None:
      piece_hashes = piece_hasher.piece_hashes
      piece_sha_state = piece_hasher.hash_fragment

    self.blob_upload = registry_model.update_blob_upload(self.blob_upload,
                                                         uncompressed_byte_count,
                                                         piece_hashes,
                                                         piece_sha_state,
                                                         new_metadata,
                                                         new_blob_bytes,
                                                         self.blob_upload.chunk_count + 1,
                                                         self.blob_upload.sha_state)
    if self.blob_upload is None:
      raise BlobUploadException('Could not complete upload of chunk')

    return new_blob_bytes

  def cancel_upload(self):
    """ Cancels the blob upload, deleting any data uploaded and removing the upload itself. """
    # Tell storage to cancel the chunked upload, deleting its contents.
    self.storage.cancel_chunked_upload({self.blob_upload.location_name},
                                       self.blob_upload.upload_id,
                                       self.blob_upload.storage_metadata)

    # Remove the blob upload record itself.
    registry_model.delete_blob_upload(self.blob_upload)

  def commit_to_blob(self, app_config, expected_digest=None):
    """ Commits the blob upload to a blob under the repository. The resulting blob will be marked
        to not be GCed for some period of time (as configured by `committed_blob_expiration`).

        If expected_digest is specified, the content digest of the data uploaded for the blob is
        compared to that given and, if it does not match, a BlobDigestMismatchException is
        raised. The digest given must be of type `Digest` and not a string.
    """
    # Compare the content digest.
    if expected_digest is not None:
      self._validate_digest(expected_digest)

    # Finalize the storage.
    storage_already_existed = self._finalize_blob_storage(app_config)

    # Convert the upload to a blob.
    computed_digest_str = digest_tools.sha256_digest_from_hashlib(self.blob_upload.sha_state)

    with db_transaction():
      blob = registry_model.commit_blob_upload(self.blob_upload, computed_digest_str,
                                               self.settings.committed_blob_expiration)
      if blob is None:
        return None

      # Save torrent hash information (if available).
      if self.blob_upload.piece_sha_state is not None and not storage_already_existed:
        piece_bytes = self.blob_upload.piece_hashes + self.blob_upload.piece_sha_state.digest()
        registry_model.set_torrent_info(blob, self.settings.bittorrent_piece_size, piece_bytes)

    self.committed_blob = blob
    return blob

  def _validate_digest(self, expected_digest):
    """
    Verifies that the digest's SHA matches that of the uploaded data.
    """
    computed_digest = digest_tools.sha256_digest_from_hashlib(self.blob_upload.sha_state)
    if not digest_tools.digests_equal(computed_digest, expected_digest):
      logger.error('Digest mismatch for upload %s: Expected digest %s, found digest %s',
                   self.blob_upload.upload_id, expected_digest, computed_digest)
      raise BlobDigestMismatchException()

  def _finalize_blob_storage(self, app_config):
    """
    When an upload is successful, this ends the uploading process from the
    storage's perspective.

    Returns True if the blob already existed.
    """
    computed_digest = digest_tools.sha256_digest_from_hashlib(self.blob_upload.sha_state)
    final_blob_location = digest_tools.content_path(computed_digest)

    # Close the database connection before we perform this operation, as it can take a while
    # and we shouldn't hold the connection during that time.
    with CloseForLongOperation(app_config):
      # Move the storage into place, or if this was a re-upload, cancel it
      already_existed = self.storage.exists({self.blob_upload.location_name}, final_blob_location)
      if already_existed:
        # It already existed, clean up our upload which served as proof that the
        # uploader had the blob.
        self.storage.cancel_chunked_upload({self.blob_upload.location_name},
                                           self.blob_upload.upload_id,
                                           self.blob_upload.storage_metadata)
      else:
        # We were the first ones to upload this image (at least to this location)
        # Let's copy it into place
        self.storage.complete_chunked_upload({self.blob_upload.location_name},
                                             self.blob_upload.upload_id,
                                             final_blob_location,
                                             self.blob_upload.storage_metadata)

    return already_existed