pydantic causes pickling (in worker multiprocessing) to fail

Bug description

pydantic has an effect on pickling data which is used in the multiprocessing module

Steps to Reproduce:

1. Install latest worker with dependencies
2. send request to run model on worker
3. error returned as below. Appears to fail as soon as data is handled by multiprocessing module

Expected Behaviour:

No error, model run should complete.

Actual Behaviour:

   File "/home/sarsonl/repos/em1/ramsis.sfm.worker/worker/resource.py", line 427, in post
    p.start()
  File "/home/sarsonl/miniconda3/envs/sfm_models38/lib/python3.8/multiprocessing/process.py", line 121, in start
    self._popen = self._Popen(self)
  File "/home/sarsonl/miniconda3/envs/sfm_models38/lib/python3.8/multiprocessing/context.py", line 224, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
  File "/home/sarsonl/miniconda3/envs/sfm_models38/lib/python3.8/multiprocessing/context.py", line 284, in _Popen
    return Popen(process_obj)
  File "/home/sarsonl/miniconda3/envs/sfm_models38/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
    super().__init__(process_obj)
  File "/home/sarsonl/miniconda3/envs/sfm_models38/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
    self._launch(process_obj)
  File "/home/sarsonl/miniconda3/envs/sfm_models38/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 47, in _launch
    reduction.dump(process_obj, fp)
  File "/home/sarsonl/miniconda3/envs/sfm_models38/lib/python3.8/multiprocessing/reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <class 'pydantic.dataclasses._Pydantic_ReservoirGeometryEdges_94865931686688'>: it's not the same object as pydantic.dataclasses._Pydantic_ReservoirGeometryEdges_94865931686688

@schmidni I will talk to you about this and see if pydantic can still be used, or if it has to be removed at least until this issue is fixed in the module.