PermissionError Multiprocessing argument pyppeteer.Page
successful but inefficient
import asyncio
from pyppeteer import launch
from multiprocessing import Process
async def f(x):
print("async def f(x,page):",x)
browser = await launch(headless=False, autoClose=False)
page = (await browser.pages())[0]
await page.goto('https://example.com')
h1 = await page.querySelector("body > div > h1")
await page.evaluate(f'(element) => element.textContent="{x}"', h1)
def p(x):
print("def p(x,page):",x)
asyncio.run(f(x))
async def main():
pro = Process(target=p, args=("1111",))
pro.start()
pro = Process(target=p, args=("2222",))
pro.start()
if __name__ =="__main__":
asyncio.get_event_loop().run_until_complete(main())
In order to process a lot, it is burdensome to create multiple browsers. So, I try to create a lot of tabs.
This is the code I want, but I get an PermissionError How can I solve this?
import asyncio
from pyppeteer import launch
from multiprocessing import Process
async def f(x,page):
print("async def f(x,page):",x)
await page.goto('https://example.com')
h1 = await page.querySelector("body > div > h1")
await page.evaluate(f'(element) => element.textContent="{x}"', h1)
def p(x,page):
print("def p(x,page):",x)
asyncio.run(f(x,page))
async def main():
browser = await launch(headless=False, autoClose=False)
page = (await browser.pages())[0]
pro = Process(target=p, args=("1111",page))
pro.start()
if __name__ =="__main__":
asyncio.get_event_loop().run_until_complete(main())
error message
c:\Users\mimmi\python\ttttt.py:24: DeprecationWarning: There is no current event loop
asyncio.get_event_loop().run_until_complete(main())
Traceback (most recent call last):
File "c:\Users\mimmi\python\ttttt.py", line 24, in <module>
asyncio.get_event_loop().run_until_complete(main())
File "C:\python\python311\Lib\asyncio\base_events.py", line 650, in run_until_complete
return future.result()
^^^^^^^^^^^^^^^
File "c:\Users\mimmi\python\ttttt.py", line 21, in main
pro.start()
^^^^^^^^^^^
File "C:\python\python311\Lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
^^^^^^^^^^^^^^^^^
File "C:\python\python311\Lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\python\python311\Lib\multiprocessing\context.py", line 336, in _Popen
return Popen(process_obj)
^^^^^^^^^^^^^^^^^^
File "C:\python\python311\Lib\multiprocessing\popen_spawn_win32.py", line 94, in __init__
reduction.dump(process_obj, to_child)
File "C:\python\python311\Lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle '_thread.lock' object
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\python\python311\Lib\multiprocessing\spawn.py", line 111, in spawn_main
new_handle = reduction.duplicate(pipe_handle,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\python\python311\Lib\multiprocessing\reduction.py", line 79, in duplicate
return _winapi.DuplicateHandle(
^^^^^^^^^^^^^^^^^^^^^^^^
PermissionError: [WinError 5] Access is denied
my environment windows11 python3.11 pyppeteer1.0.2
I got the desired result with this code.