# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""MetadataLoader to load metadata for each input data."""

import enum
import os
from typing import AnyStr, Callable

from tensorflow_examples.lite.model_maker.core.api.api_util import mm_export


@mm_export("searcher.MetadataType")
@enum.unique
class MetadataType(enum.Enum):
  FROM_FILE_NAME = 1
  FROM_DAT_FILE = 2


class MetadataLoader(object):
  """MetadataLoader class to load metadata for each input data."""

  def __init__(self, func: Callable[..., AnyStr]) -> None:
    self._func = func

  def load(self, path: str, **kwargs) -> AnyStr:
    """Loads metadata from input data path."""
    return self._func(path, **kwargs)

  @classmethod
  def from_file_name(cls) -> "MetadataLoader":
    """Loads the file name as metadata."""

    def _load_metadata(path):
      return os.path.splitext(os.path.basename(path))[0]

    return cls(_load_metadata)

  @classmethod
  def from_dat_file(cls) -> "MetadataLoader":
    """Loads the metadata from .dat file.

    Reads metadata from a file assumed to be stored next to the (image, audio or
    text) input file, with the same basename and a different extension ".dat",
    e.g: if input file is "/path/to/foo.jpg", read metadata from
    "/path/to/foo.dat". When loading metadata, user can pass `mode` parameter
    which is a string that defines which mode you want to open the file in: "r"
    (text metadata) and "rb" (binary metadata) are supported.

    Returns:
      MetadataLoader object.
    """

    def _load_metadata(path, mode="r"):
      if mode != "r" and mode != "rb":
        raise ValueError(
            "`mode` must be \"r\" or \"rb\" to read text or binary metadata.")

      metadata_file_path = os.path.splitext(path)[0] + ".dat"
      with open(metadata_file_path, mode) as f:
        return f.read()

    return cls(_load_metadata)

# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""MetadataLoader to load metadata for each input data."""

import enum
import os
from typing import AnyStr, Callable

from tensorflow_examples.lite.model_maker.core.api.api_util import mm_export


@mm_export("searcher.MetadataType")
@enum.unique
class MetadataType(enum.Enum):
  FROM_FILE_NAME = 1
  FROM_DAT_FILE = 2


class MetadataLoader(object):
  """MetadataLoader class to load metadata for each input data."""

  def __init__(self, func: Callable[..., AnyStr]) -> None:
    self._func = func

  def load(self, path: str, **kwargs) -> AnyStr:
    """Loads metadata from input data path."""
    return self._func(path, **kwargs)

  @classmethod
  def from_file_name(cls) -> "MetadataLoader":
    """Loads the file name as metadata."""

    def _load_metadata(path):
      return os.path.splitext(os.path.basename(path))[0]

    return cls(_load_metadata)

  @classmethod
  def from_dat_file(cls) -> "MetadataLoader":
    """Loads the metadata from .dat file.

    Reads metadata from a file assumed to be stored next to the (image, audio or
    text) input file, with the same basename and a different extension ".dat",
    e.g: if input file is "/path/to/foo.jpg", read metadata from
    "/path/to/foo.dat". When loading metadata, user can pass `mode` parameter
    which is a string that defines which mode you want to open the file in: "r"
    (text metadata) and "rb" (binary metadata) are supported.

    Returns:
      MetadataLoader object.
    """

    def _load_metadata(path, mode="r"):
      if mode != "r" and mode != "rb":
        raise ValueError(
            "`mode` must be \"r\" or \"rb\" to read text or binary metadata.")

      metadata_file_path = os.path.splitext(path)[0] + ".dat"
      with open(metadata_file_path, mode) as f:
        return f.read()

    return cls(_load_metadata)

# Copyright 2022 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # #     http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. MetadataLoader to load metadata for each input data. MetadataLoader class to load metadata for each input data. Loads metadata from input data path. Loads the file name as metadata. Loads the metadata from .dat file.      Reads metadata from a file assumed to be stored next to the (image, audio or     text) input file, with the same basename and a different extension ".dat",     e.g: if input file is "/path/to/foo.jpg", read metadata from     "/path/to/foo.dat". When loading metadata, user can pass `mode` parameter     which is a string that defines which mode you want to open the file in: "r"     (text metadata) and "rb" (binary metadata) are supported.      Returns:       MetadataLoader object.