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I am able to use the script below successfully when deployed locally on my computer:
configuration = jcapiv1.Configuration() configuration.api_key['x-api-key'] = jumpcloud_apikey # create an instance of the API class api_instance = jcapiv1.SystemusersApi(jcapiv1.ApiClient(configuration)) content_type = 'application/json' # str | (default to application/json) accept = 'application/json' # str | (default to application/json) x_org_id = jumpcloud_org_id # str | (optional) (default to ) body = jcapiv1.Systemuserputpost( email='[email protected]', username='jdoe', firstname='John', lastname='Doe' ) api_response = api_instance.systemusers_post(content_type, accept, body=body, x_org_id=x_org_id)
When I use the script on AWS Lambda I get the following error:
{
"errorMessage": "[Errno 38] Function not implemented",
"errorType": "OSError",
"stackTrace": [
" File "/var/task/lambda_function.py", line 17, in lambda_handler\n api_instance = jcapiv1.SystemusersApi(jcapiv1.ApiClient(configuration))\n",
" File "/opt/python/lib/python3.8/site-packages/jcapiv1/api_client.py", line 69, in init\n self.pool = ThreadPool()\n",
" File "/var/lang/lib/python3.8/multiprocessing/pool.py", line 925, in init\n Pool.init(self, processes, initializer, initargs)\n",
" File "/var/lang/lib/python3.8/multiprocessing/pool.py", line 196, in init\n self._change_notifier = self._ctx.SimpleQueue()\n",
" File "/var/lang/lib/python3.8/multiprocessing/context.py", line 113, in SimpleQueue\n return SimpleQueue(ctx=self.get_context())\n",
" File "/var/lang/lib/python3.8/multiprocessing/queues.py", line 336, in init\n self._rlock = ctx.Lock()\n",
" File "/var/lang/lib/python3.8/multiprocessing/context.py", line 68, in Lock\n return Lock(ctx=self.get_context())\n",
" File "/var/lang/lib/python3.8/multiprocessing/synchronize.py", line 162, in init\n SemLock.init(self, SEMAPHORE, 1, 1, ctx=ctx)\n",
" File "/var/lang/lib/python3.8/multiprocessing/synchronize.py", line 57, in init\n sl = self._semlock = _multiprocessing.SemLock(\n"
]
}
I found some article that suggest I should use the multiprocessing library to handle this issue. I tried resolving this with that library with no success.
Any help would be greatly appreciated.
Thank you.
The text was updated successfully, but these errors were encountered:
Hello,
I am able to use the script below successfully when deployed locally on my computer:
configuration = jcapiv1.Configuration() configuration.api_key['x-api-key'] = jumpcloud_apikey # create an instance of the API class api_instance = jcapiv1.SystemusersApi(jcapiv1.ApiClient(configuration)) content_type = 'application/json' # str | (default to application/json) accept = 'application/json' # str | (default to application/json) x_org_id = jumpcloud_org_id # str | (optional) (default to ) body = jcapiv1.Systemuserputpost( email='[email protected]', username='jdoe', firstname='John', lastname='Doe' ) api_response = api_instance.systemusers_post(content_type, accept, body=body, x_org_id=x_org_id)
When I use the script on AWS Lambda I get the following error:
{
"errorMessage": "[Errno 38] Function not implemented",
"errorType": "OSError",
"stackTrace": [
" File "/var/task/lambda_function.py", line 17, in lambda_handler\n api_instance = jcapiv1.SystemusersApi(jcapiv1.ApiClient(configuration))\n",
" File "/opt/python/lib/python3.8/site-packages/jcapiv1/api_client.py", line 69, in init\n self.pool = ThreadPool()\n",
" File "/var/lang/lib/python3.8/multiprocessing/pool.py", line 925, in init\n Pool.init(self, processes, initializer, initargs)\n",
" File "/var/lang/lib/python3.8/multiprocessing/pool.py", line 196, in init\n self._change_notifier = self._ctx.SimpleQueue()\n",
" File "/var/lang/lib/python3.8/multiprocessing/context.py", line 113, in SimpleQueue\n return SimpleQueue(ctx=self.get_context())\n",
" File "/var/lang/lib/python3.8/multiprocessing/queues.py", line 336, in init\n self._rlock = ctx.Lock()\n",
" File "/var/lang/lib/python3.8/multiprocessing/context.py", line 68, in Lock\n return Lock(ctx=self.get_context())\n",
" File "/var/lang/lib/python3.8/multiprocessing/synchronize.py", line 162, in init\n SemLock.init(self, SEMAPHORE, 1, 1, ctx=ctx)\n",
" File "/var/lang/lib/python3.8/multiprocessing/synchronize.py", line 57, in init\n sl = self._semlock = _multiprocessing.SemLock(\n"
]
}
I found some article that suggest I should use the multiprocessing library to handle this issue. I tried resolving this with that library with no success.
Any help would be greatly appreciated.
Thank you.
The text was updated successfully, but these errors were encountered: