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payrollmultiprocessodoo
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AteneoLab

Hi every one, I need to execute a payroll for more than 6K employees. This takes about 4 hours to complete.

I want to parallelize the method that compute and confirms the payroll but it throws this error message:

Traceback (most recent call last):

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/http.py", line 654, in _handle_exception

    return super(JsonRequest, self)._handle_exception(exception)

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/http.py", line 312, in _handle_exception

    raise pycompat.reraise(type(exception), exception, sys.exc_info()[2])

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/tools/pycompat.py", line 87, in reraise

    raise value

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/http.py", line 696, in dispatch

    result = self._call_function(**self.params)

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/http.py", line 344, in _call_function

    return checked_call(self.db, *args, **kwargs)

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/service/model.py", line 97, in wrapper

    return f(dbname, *args, **kwargs)

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/http.py", line 337, in checked_call

    result = self.endpoint(*a, **kw)

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/http.py", line 939, in __call__

    return self.method(*args, **kw)

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/http.py", line 517, in response_wrap

    response = f(*args, **kw)

  File "/home/matos/PycharmProjects/Odoo12/odoo/addons/web/controllers/main.py", line 966, in call_button

    action = self._call_kw(model, method, args, {})

  File "/home/matos/PycharmProjects/Odoo12/odoo/addons/web/controllers/main.py", line 954, in _call_kw

    return call_kw(request.env[model], method, args, kwargs)

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/api.py", line 749, in call_kw

    return _call_kw_multi(method, model, args, kwargs)

  File "/home/matos/PycharmProjects/Odoo12/odoo/odoo/api.py", line 736, in _call_kw_multi

    result = method(recs, *args, **kwargs)

  File "/home/matos/PycharmProjects/Odoo12/payroll/payroll_masive/models/payslip_run.py", line 70, in compute_and_confirm_sheet_massive

    pool.map(self.excec, [slip for slip in slip_list_par])

  File "/usr/lib/python3.6/multiprocessing/pool.py", line 288, in map

    return self._map_async(func, iterable, mapstar, chunksize).get()

  File "/usr/lib/python3.6/multiprocessing/pool.py", line 670, in get

    raise self._value

  File "/usr/lib/python3.6/multiprocessing/pool.py", line 450, in _handle_tasks

    put(task)

  File "/usr/lib/python3.6/multiprocessing/connection.py", line 206, in send

    self._send_bytes(_ForkingPickler.dumps(obj))

  File "/usr/lib/python3.6/multiprocessing/reduction.py", line 51, in dumps

    cls(buf, protocol).dump(obj)

_pickle.PicklingError: Can't pickle <class 'odoo.api.hr.payslip.run'>: attribute lookup hr.payslip.run on odoo.api failed

Does anyone of you have any idea of why is this and how to solve it?

Thank you very much.


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djking7
Mejor respuesta

you can't  pickle odoo methods, you need to send table of ids to the function declared outside of the class;

Example:

def multi_compute(ids)
kwargs = {'uid': request.uid, 'db': request.db}
with openerp.api.Environment.manage():
    with openerp.registry(kwargs.get('db')).cursor() as new_cr:
        env = openerp.api.Environment(new_cr, kwargs.get('uid'), {}) 
      playslip_obj = env['hr.payslip']
      payslip_ids = payslip_obj.browse(ids).compute_sheet()       

the call of the method with multiprocessing library should be like this:
list = list(split([slip for slip in slip_list_par], multiprocessing.cpu_count()))

try:
    pool = multiprocessing.Pool(multiprocessing.cpu_count())
    pool.map(multi_compute, list)
except KeyboardInterrupt, e:
    pool.terminate()
    raise e

if you get any connection problem add try and except to 'multi_compute' function 
and in the exception recall the method again ('multi_compute(ids)') cause sometimes it's blocked by postgress 
cause another process is blocking you process, so you need to recall it after a time

I hope this helps
                                                                                                                 
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