mirror of
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246 lines
9.8 KiB
Python
246 lines
9.8 KiB
Python
import hashlib
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import logging
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import os
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from io import BytesIO
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from telethon.tl.custom import InputSizedFile
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from telethon.tl.functions.upload import (
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SaveBigFilePartRequest, SaveFilePartRequest
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)
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try:
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import socks
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except ImportError:
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socks = None
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try:
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import hachoir
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import hachoir.metadata
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import hachoir.parser
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except ImportError:
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hachoir = None
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from telethon import helpers, utils
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from telethon.tl.types import (InputFile, InputFileBig)
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__log__ = logging.getLogger(__name__)
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from telethon import TelegramClient
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from threading import Thread
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import random
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import time
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from queue import Queue
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from telethon.network import ConnectionMode
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from datetime import datetime, timedelta
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class TelegramClientX(TelegramClient):
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def __init__(self, session, api_id, api_hash,
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connection_mode=ConnectionMode.TCP_FULL,
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use_ipv6=False,
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proxy=None,
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update_workers=None,
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timeout=timedelta(seconds=10),
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spawn_read_thread=True,
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report_errors=True,
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**kwargs):
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super().__init__(
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session, api_id, api_hash,
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connection_mode=connection_mode,
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use_ipv6=use_ipv6,
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proxy=proxy,
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update_workers=update_workers,
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spawn_read_thread=spawn_read_thread,
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timeout=timeout,
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report_errors=report_errors,
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**kwargs
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)
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self._event_builders = []
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self._events_pending_resolve = []
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# Some fields to easy signing in. Let {phone: hash} be
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# a dictionary because the user may change their mind.
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self._phone_code_hash = {}
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self._phone = None
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self._session_name = session
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self._upload_threads_count = 8
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# Sometimes we need to know who we are, cache the self peer
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self._self_input_peer = None
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class ProcessUpload(Thread):
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def __init__(self, name, client, q_request=None):
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Thread.__init__(self)
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self.name = name
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self.client = TelegramClient(client._session_name, client.api_id, client.api_hash, update_workers=None,
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spawn_read_thread=False)
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self.q_request = q_request
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self.result = None
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def run(self):
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print('Thread %s started' % self.name)
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time.sleep(random.randrange(200, 2000, 10) * 0.001)
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if not self.client.is_connected():
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self.client.connect()
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while True:
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request = self.q_request.get()
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if request is None:
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break
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self.result = None
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# time.sleep(random.randrange(20, 100, 1) * 0.001)
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self.result = self.client.invoke(request)
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if self.result is False:
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break
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self.q_request.task_done()
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self.client.disconnect()
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print('Thread {0} stopped result {1}'.format(self.name, self.result))
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return
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def set_upload_threads_count(self,count: int):
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self._upload_threads_count = int(count)
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def upload_file(self,
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file,
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part_size_kb=None,
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file_name=None,
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use_cache=None,
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progress_callback=None):
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"""
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Uploads the specified file and returns a handle (an instance of
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InputFile or InputFileBig, as required) which can be later used
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before it expires (they are usable during less than a day).
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Uploading a file will simply return a "handle" to the file stored
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remotely in the Telegram servers, which can be later used on. This
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will **not** upload the file to your own chat or any chat at all.
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Args:
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file (`str` | `bytes` | `file`):
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The path of the file, byte array, or stream that will be sent.
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Note that if a byte array or a stream is given, a filename
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or its type won't be inferred, and it will be sent as an
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"unnamed application/octet-stream".
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Subsequent calls with the very same file will result in
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immediate uploads, unless ``.clear_file_cache()`` is called.
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part_size_kb (`int`, optional):
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Chunk size when uploading files. The larger, the less
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requests will be made (up to 512KB maximum).
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file_name (`str`, optional):
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The file name which will be used on the resulting InputFile.
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If not specified, the name will be taken from the ``file``
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and if this is not a ``str``, it will be ``"unnamed"``.
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use_cache (`type`, optional):
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The type of cache to use (currently either ``InputDocument``
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or ``InputPhoto``). If present and the file is small enough
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to need the MD5, it will be checked against the database,
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and if a match is found, the upload won't be made. Instead,
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an instance of type ``use_cache`` will be returned.
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progress_callback (`callable`, optional):
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A callback function accepting two parameters:
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``(sent bytes, total)``.
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Returns:
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:tl:`InputFileBig` if the file size is larger than 10MB,
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``InputSizedFile`` (subclass of :tl:`InputFile`) otherwise.
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"""
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if isinstance(file, (InputFile, InputFileBig)):
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return file # Already uploaded
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if isinstance(file, str):
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file_size = os.path.getsize(file)
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elif isinstance(file, bytes):
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file_size = len(file)
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else:
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file = file.read()
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file_size = len(file)
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# File will now either be a string or bytes
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if not part_size_kb:
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part_size_kb = utils.get_appropriated_part_size(file_size)
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if part_size_kb > 512:
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raise ValueError('The part size must be less or equal to 512KB')
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part_size = int(part_size_kb * 1024)
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if part_size % 1024 != 0:
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raise ValueError(
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'The part size must be evenly divisible by 1024')
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# Set a default file name if None was specified
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file_id = helpers.generate_random_long()
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if not file_name:
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if isinstance(file, str):
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file_name = os.path.basename(file)
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else:
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file_name = str(file_id)
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# Determine whether the file is too big (over 10MB) or not
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# Telegram does make a distinction between smaller or larger files
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is_large = file_size > 10 * 1024 * 1024
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hash_md5 = hashlib.md5()
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if not is_large:
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# Calculate the MD5 hash before anything else.
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# As this needs to be done always for small files,
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# might as well do it before anything else and
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# check the cache.
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if isinstance(file, str):
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with open(file, 'rb') as stream:
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file = stream.read()
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hash_md5.update(file)
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if use_cache:
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cached = self.session.get_file(
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hash_md5.digest(), file_size, cls=use_cache
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)
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if cached:
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return cached
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part_count = (file_size + part_size - 1) // part_size
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__log__.info('Uploading file of %d bytes in %d chunks of %d',
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file_size, part_count, part_size)
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with open(file, 'rb') if isinstance(file, str) else BytesIO(file) as stream:
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threads_count = self._upload_threads_count
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if part_count < threads_count:
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threads_count = part_count
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upload_thread = []
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q_request = Queue()
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# spawn threads
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for i in range(threads_count):
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thread_dl = self.ProcessUpload('thread {0}'.format(i), self, q_request)
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thread_dl.start()
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upload_thread.append(thread_dl)
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for part_index in range(0, part_count, threads_count):
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# Read the file by in chunks of size part_size
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for part_thread_index in range(threads_count):
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if part_index + part_thread_index >= part_count:
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break
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part = stream.read(part_size)
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# The SavePartRequest is different depending on whether
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# the file is too large or not (over or less than 10MB)
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if is_large:
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request = SaveBigFilePartRequest(file_id, part_index + part_thread_index, part_count, part)
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else:
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request = SaveFilePartRequest(file_id, part_index + part_thread_index, part)
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q_request.put(request)
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# q_request.join()
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job_completed = False
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while not job_completed:
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for th in upload_thread:
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if th:
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if th.result is True:
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job_completed = True
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__log__.debug('Uploaded %d/%d', part_index + 1, part_count)
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if progress_callback:
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progress_callback(stream.tell(), file_size)
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elif th.result is False:
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raise RuntimeError('Failed to upload file part {}.'.format(part_index))
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q_request.join()
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for i in range(threads_count):
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q_request.put(None)
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for th in upload_thread:
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th.join()
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if is_large:
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return InputFileBig(file_id, part_count, file_name)
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else:
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return InputSizedFile(
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file_id, part_count, file_name, md5=hash_md5, size=file_size
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)
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