Telethon/telethon/update_state.py

152 lines
5.2 KiB
Python

import itertools
import logging
from datetime import datetime
from queue import Queue, Empty
from threading import RLock, Thread
from . import utils
from .tl import types as tl
__log__ = logging.getLogger(__name__)
class UpdateState:
"""
Used to hold the current state of processed updates.
To retrieve an update, :meth:`poll` should be called.
"""
WORKER_POLL_TIMEOUT = 5.0 # Avoid waiting forever on the workers
def __init__(self, workers=None):
"""
:param workers: This integer parameter has three possible cases:
workers is None: Updates will *not* be stored on self.
workers = 0: Another thread is responsible for calling self.poll()
workers > 0: 'workers' background threads will be spawned, any
any of them will invoke the self.handler.
"""
self._workers = workers
self._worker_threads = []
self.handler = None
self._updates_lock = RLock()
self._updates = Queue()
# https://core.telegram.org/api/updates
self._state = tl.updates.State(0, 0, datetime.now(), 0, 0)
def can_poll(self):
"""Returns True if a call to .poll() won't lock"""
return not self._updates.empty()
def poll(self, timeout=None):
"""
Polls an update or blocks until an update object is available.
If 'timeout is not None', it should be a floating point value,
and the method will 'return None' if waiting times out.
"""
try:
return self._updates.get(timeout=timeout)
except Empty:
return None
def get_workers(self):
return self._workers
def set_workers(self, n):
"""Changes the number of workers running.
If 'n is None', clears all pending updates from memory.
"""
if n is None:
self.stop_workers()
else:
self._workers = n
self.setup_workers()
workers = property(fget=get_workers, fset=set_workers)
def stop_workers(self):
"""
Waits for all the worker threads to stop.
"""
# Put dummy ``None`` objects so that they don't need to timeout.
n = self._workers
self._workers = None
if n:
with self._updates_lock:
for _ in range(n):
self._updates.put(None)
for t in self._worker_threads:
t.join()
self._worker_threads.clear()
self._workers = n
def setup_workers(self):
if self._worker_threads or not self._workers:
# There already are workers, or workers is None or 0. Do nothing.
return
for i in range(self._workers):
thread = Thread(
target=UpdateState._worker_loop,
name='UpdateWorker{}'.format(i),
daemon=True,
args=(self, i)
)
self._worker_threads.append(thread)
thread.start()
def _worker_loop(self, wid):
while self._workers is not None:
try:
update = self.poll(timeout=UpdateState.WORKER_POLL_TIMEOUT)
if update and self.handler:
self.handler(update)
except StopIteration:
break
except:
# We don't want to crash a worker thread due to any reason
__log__.exception('Unhandled exception on worker %d', wid)
def process(self, update):
"""Processes an update object. This method is normally called by
the library itself.
"""
if self._workers is None:
return # No processing needs to be done if nobody's working
with self._updates_lock:
if isinstance(update, tl.updates.State):
__log__.debug('Saved new updates state')
self._state = update
return # Nothing else to be done
if hasattr(update, 'pts'):
self._state.pts = update.pts
# After running the script for over an hour and receiving over
# 1000 updates, the only duplicates received were users going
# online or offline. We can trust the server until new reports.
#
# TODO Note somewhere that all updates are modified to include
# .entities, which is a dictionary you can access but may be empty.
# This should only be used as read-only.
if isinstance(update, tl.UpdateShort):
update.update.entities = {}
self._updates.put(update.update)
# Expand "Updates" into "Update", and pass these to callbacks.
# Since .users and .chats have already been processed, we
# don't need to care about those either.
elif isinstance(update, (tl.Updates, tl.UpdatesCombined)):
entities = {utils.get_peer_id(x): x for x in
itertools.chain(update.users, update.chats)}
for u in update.updates:
u.entities = entities
self._updates.put(u)
# TODO Handle "tl.UpdatesTooLong"
else:
update.entities = {}
self._updates.put(update)