# Copyright 2017 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.
# ==============================================================================
"""Load plugin assets from disk."""

import os.path

from tensorboard.compat import tf


_PLUGINS_DIR = "plugins"


def _IsDirectory(parent, item):
    """Helper that returns if parent/item is a directory."""
    return tf.io.gfile.isdir(os.path.join(parent, item))


def PluginDirectory(logdir, plugin_name):
    """Returns the plugin directory for plugin_name."""
    return os.path.join(logdir, _PLUGINS_DIR, plugin_name)


def ListPlugins(logdir):
    """List all the plugins that have registered assets in logdir.

    If the plugins_dir does not exist, it returns an empty list. This maintains
    compatibility with old directories that have no plugins written.

    Args:
      logdir: A directory that was created by a TensorFlow events writer.

    Returns:
      a list of plugin names, as strings
    """
    plugins_dir = os.path.join(logdir, _PLUGINS_DIR)
    try:
        entries = tf.io.gfile.listdir(plugins_dir)
    except tf.errors.NotFoundError:
        return []
    # Strip trailing slashes, which listdir() includes for some filesystems
    # for subdirectories, after using them to bypass IsDirectory().
    return [
        x.rstrip("/")
        for x in entries
        if x.endswith("/") or _IsDirectory(plugins_dir, x)
    ]


def ListAssets(logdir, plugin_name):
    



def RetrieveAsset(logdir, plugin_name, asset_name):
    """Retrieve a particular plugin asset from a logdir.

    Args:
      logdir: A directory that was created by a TensorFlow summary.FileWriter.
      plugin_name: The plugin we want an asset from.
      asset_name: The name of the requested asset.

    Returns:
      string contents of the plugin asset.

    Raises:
      KeyError: if the asset does not exist.
    """

    asset_path = os.path.join(PluginDirectory(logdir, plugin_name), asset_name)
    try:
        with tf.io.gfile.GFile(asset_path, "r") as f:
            return f.read()
    except tf.errors.NotFoundError:
        raise KeyError("Asset path %s not found" % asset_path)
    except tf.errors.OpError as e:
        raise KeyError(
            "Couldn't read asset path: %s, OpError %s" % (asset_path, e)
        )

"""List all the assets that are available for given plugin in a logdir.

    Args:
      logdir: A directory that was created by a TensorFlow summary.FileWriter.
      plugin_name: A string name of a plugin to list assets for.

    Returns:
      A string list of available plugin assets. If the plugin subdirectory does
      not exist (either because the logdir doesn't exist, or because the plugin
      didn't register) an empty list is returned.
    """
    plugin_dir = PluginDirectory(logdir, plugin_name)
    try:
        # Strip trailing slashes, which listdir() includes for some filesystems.
        return [x.rstrip("/") for x in tf.io.gfile.listdir(plugin_dir)]
    except tf.errors.NotFoundError:
        return []