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341 lines
9.2 KiB
341 lines
9.2 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import hashlib
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import inspect
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import json
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import os
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import tarfile
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import threading
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import time
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import uuid
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import zipfile
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from typing import Any
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from typing import Dict
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import paddle
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import requests
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import yaml
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from paddle.framework import load
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import paddleaudio
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from . import download
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from .entry import commands
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try:
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from .. import __version__
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except ImportError:
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__version__ = "0.0.0" # for develop branch
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requests.adapters.DEFAULT_RETRIES = 3
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__all__ = [
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'cli_register',
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'get_command',
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'download_and_decompress',
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'load_state_dict_from_url',
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'stats_wrapper',
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]
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def cli_register(name: str, description: str='') -> Any:
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def _warpper(command):
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items = name.split('.')
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com = commands
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for item in items:
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com = com[item]
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com['_entry'] = command
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if description:
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com['_description'] = description
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return command
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return _warpper
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def get_command(name: str) -> Any:
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items = name.split('.')
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com = commands
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for item in items:
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com = com[item]
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return com['_entry']
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def _get_uncompress_path(filepath: os.PathLike) -> os.PathLike:
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file_dir = os.path.dirname(filepath)
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is_zip_file = False
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if tarfile.is_tarfile(filepath):
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files = tarfile.open(filepath, "r:*")
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file_list = files.getnames()
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elif zipfile.is_zipfile(filepath):
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files = zipfile.ZipFile(filepath, 'r')
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file_list = files.namelist()
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is_zip_file = True
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else:
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return file_dir
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if download._is_a_single_file(file_list):
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rootpath = file_list[0]
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uncompressed_path = os.path.join(file_dir, rootpath)
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elif download._is_a_single_dir(file_list):
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if is_zip_file:
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rootpath = os.path.splitext(file_list[0])[0].split(os.sep)[0]
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else:
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rootpath = os.path.splitext(file_list[0])[0].split(os.sep)[-1]
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uncompressed_path = os.path.join(file_dir, rootpath)
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else:
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rootpath = os.path.splitext(filepath)[0].split(os.sep)[-1]
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uncompressed_path = os.path.join(file_dir, rootpath)
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files.close()
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return uncompressed_path
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def download_and_decompress(archive: Dict[str, str], path: str) -> os.PathLike:
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"""
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Download archieves and decompress to specific path.
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"""
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if not os.path.isdir(path):
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os.makedirs(path)
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assert 'url' in archive and 'md5' in archive, \
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'Dictionary keys of "url" and "md5" are required in the archive, but got: {}'.format(list(archive.keys()))
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filepath = os.path.join(path, os.path.basename(archive['url']))
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if os.path.isfile(filepath) and download._md5check(filepath,
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archive['md5']):
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uncompress_path = _get_uncompress_path(filepath)
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if not os.path.isdir(uncompress_path):
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download._decompress(filepath)
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else:
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StatsWorker(
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task='download',
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version=__version__,
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extra_info={
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'download_url': archive['url'],
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'paddle_version': paddle.__version__
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}).start()
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uncompress_path = download.get_path_from_url(archive['url'], path,
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archive['md5'])
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return uncompress_path
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def load_state_dict_from_url(url: str, path: str, md5: str=None) -> os.PathLike:
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"""
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Download and load a state dict from url
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"""
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if not os.path.isdir(path):
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os.makedirs(path)
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download.get_path_from_url(url, path, md5)
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return load(os.path.join(path, os.path.basename(url)))
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def _get_user_home():
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return os.path.expanduser('~')
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def _get_paddlespcceh_home():
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if 'PPSPEECH_HOME' in os.environ:
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home_path = os.environ['PPSPEECH_HOME']
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if os.path.exists(home_path):
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if os.path.isdir(home_path):
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return home_path
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else:
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raise RuntimeError(
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'The environment variable PPSPEECH_HOME {} is not a directory.'.
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format(home_path))
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else:
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return home_path
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return os.path.join(_get_user_home(), '.paddlespeech')
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def _get_sub_home(directory):
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home = os.path.join(_get_paddlespcceh_home(), directory)
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if not os.path.exists(home):
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os.makedirs(home)
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return home
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PPSPEECH_HOME = _get_paddlespcceh_home()
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MODEL_HOME = _get_sub_home('models')
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CONF_HOME = _get_sub_home('conf')
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def _md5(text: str):
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'''Calculate the md5 value of the input text.'''
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md5code = hashlib.md5(text.encode())
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return md5code.hexdigest()
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class ConfigCache:
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def __init__(self):
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self._data = {}
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self._initialize()
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self.file = os.path.join(CONF_HOME, 'cache.yaml')
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if not os.path.exists(self.file):
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self.flush()
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return
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with open(self.file, 'r') as file:
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try:
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cfg = yaml.load(file, Loader=yaml.FullLoader)
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self._data.update(cfg)
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except:
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self.flush()
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@property
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def cache_info(self):
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return self._data['cache_info']
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def _initialize(self):
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# Set default configuration values.
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cache_info = _md5(str(uuid.uuid1())[-12:]) + "-" + str(int(time.time()))
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self._data['cache_info'] = cache_info
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def flush(self):
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'''Flush the current configuration into the configuration file.'''
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with open(self.file, 'w') as file:
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cfg = json.loads(json.dumps(self._data))
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yaml.dump(cfg, file)
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stats_api = "http://paddlepaddle.org.cn/paddlehub/stat"
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cache_info = ConfigCache().cache_info
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class StatsWorker(threading.Thread):
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def __init__(self,
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task="asr",
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model=None,
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version=__version__,
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extra_info={}):
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threading.Thread.__init__(self)
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self._task = task
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self._model = model
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self._version = version
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self._extra_info = extra_info
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def run(self):
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params = {
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'task': self._task,
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'version': self._version,
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'from': 'ppspeech'
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}
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if self._model:
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params['model'] = self._model
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self._extra_info.update({
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'cache_info': cache_info,
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})
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params.update({"extra": json.dumps(self._extra_info)})
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try:
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requests.get(stats_api, params)
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except Exception:
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pass
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return
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def _note_one_stat(cls_name, params={}):
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task = cls_name.replace('Executor', '').lower() # XXExecutor
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extra_info = {
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'paddle_version': paddle.__version__,
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}
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if 'model' in params:
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model = params['model']
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else:
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model = None
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if 'audio_file' in params:
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try:
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_, sr = paddleaudio.load(params['audio_file'])
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except Exception:
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sr = -1
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if task == 'asr':
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extra_info.update({
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'lang': params['lang'],
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'inp_sr': sr,
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'model_sr': params['sample_rate'],
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})
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elif task == 'st':
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extra_info.update({
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'lang':
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params['src_lang'] + '-' + params['tgt_lang'],
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'inp_sr':
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sr,
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'model_sr':
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params['sample_rate'],
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})
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elif task == 'tts':
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model = params['am']
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extra_info.update({
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'lang': params['lang'],
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'vocoder': params['voc'],
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})
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elif task == 'cls':
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extra_info.update({
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'inp_sr': sr,
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})
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elif task == 'text':
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extra_info.update({
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'sub_task': params['task'],
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'lang': params['lang'],
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})
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else:
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return
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StatsWorker(
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task=task,
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model=model,
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version=__version__,
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extra_info=extra_info, ).start()
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def _parse_args(func, *args, **kwargs):
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# FullArgSpec(args, varargs, varkw, defaults, kwonlyargs, kwonlydefaults, annotations)
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argspec = inspect.getfullargspec(func)
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keys = argspec[0]
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if keys[0] == 'self': # Remove self pointer.
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keys = keys[1:]
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default_values = argspec[3]
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values = [None] * (len(keys) - len(default_values))
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values.extend(list(default_values))
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params = dict(zip(keys, values))
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for idx, v in enumerate(args):
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params[keys[idx]] = v
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for k, v in kwargs.items():
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params[k] = v
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return params
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def stats_wrapper(executor_func):
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def _warpper(self, *args, **kwargs):
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try:
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_note_one_stat(
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type(self).__name__, _parse_args(executor_func, *args,
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**kwargs))
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except Exception:
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pass
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return executor_func(self, *args, **kwargs)
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return _warpper
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