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[Bug] Jupiter Notebook not loading the kernel on browser when trying to use the OpenBB SDK
Whenever I create a new .ipynb file to use OpenBB SDK, the kernel doesn't seem to load, if I do:
from openbb_terminal.sdk import openbb
I get this error on the browser:
ModuleNotFoundError Traceback (most recent call last)
/var/folders/dm/y81m2jm566lcd943x_y5mjsw0000gn/T/ipykernel_404/3073663393.py in <module>
----> 1 from openbb_terminal.sdk import openbb
~/OpenBBTerminal/openbb_terminal/sdk.py in <module>
1 # pylint: disable=unused-import
----> 2 from openbb_terminal.config_terminal import theme # noqa: F401
3 from openbb_terminal.helper_classes import TerminalStyle
4 from openbb_terminal import helper_funcs as helper # noqa: F401
5 from openbb_terminal.reports import widget_helpers as widgets # noqa: F401
~/OpenBBTerminal/openbb_terminal/config_terminal.py in <module>
4
5 # IMPORTATION THIRDPARTY
----> 6 import dotenv
7
8 # IMPORTATION INTERNAL
ModuleNotFoundError: No module named 'dotenv'
Desktop:
- OS: Mac M1 BigSur
- Python 3.9.15
Jupyter Lab/Notebook, when run in the browser app, is the only critical failure point in the native M1 environments. The kernel just does not engage. Running via the Jupyter integration with VS Code, however, runs perfectly. I know this is M1-native specific because creating the same environment build as x86 architecture works as expected.
[I 2023-02-02 11:35:25.208 LabApp] Build is up to date
[I 2023-02-02 11:35:25.901 ServerApp] Kernel started: c36559d1-bfae-4641-9caa-4803a5f3de18
2023-02-02 11:35:49.083 python3.10[37688:923848] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647
2023-02-02 11:35:49.123 python3.10[37688:923848] *** Terminating app due to uncaught exception 'NSInternalInconsistencyException', reason: 'Invalid parameter not satisfying: _NSEventMask64FromType(type) & WeirdMask'
*** First throw call stack:
(
0 CoreFoundation 0x00000001a300f3f8 __exceptionPreprocess + 176
1 libobjc.A.dylib 0x00000001a2b5aea8 objc_exception_throw + 60
2 Foundation 0x00000001a3f50a60 -[NSCalendarDate initWithCoder:] + 0
3 AppKit 0x00000001a63b8250 +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:] + 264
4 libffi.8.dylib 0x0000000100f8004c ffi_call_SYSV + 76
5 libffi.8.dylib 0x0000000100f7d74c ffi_call_int + 1208
6 _ctypes.cpython-310-darwin.so 0x0000000100f60a30 _ctypes_callproc + 1324
7 _ctypes.cpython-310-darwin.so 0x0000000100f5abf8 PyCFuncPtr_call + 1160
8 python3.10 0x000000010031a294 _PyObject_MakeTpCall + 612
9 python3.10 0x00000001004090f0 call_function + 676
10 python3.10 0x0000000100404e58 _PyEval_EvalFrameDefault + 26500
11 python3.10 0x00000001003fddc8 _PyEval_Vector + 2056
12 python3.10 0x0000000100409058 call_function + 524
13 python3.10 0x0000000100404e58 _PyEval_EvalFrameDefault + 26500
14 python3.10 0x00000001003fddc8 _PyEval_Vector + 2056
15 _ctypes.cpython-310-darwin.so 0x0000000100f5ee0c closure_fcn + 644
16 libffi.8.dylib 0x0000000100f7db34 ffi_closure_SYSV_inner + 808
17 libffi.8.dylib 0x0000000100f801d4 ffi_closure_SYSV + 52
18 CoreFoundation 0x00000001a2fae55c __CFRUNLOOP_IS_CALLING_OUT_TO_A_TIMER_CALLBACK_FUNCTION__ + 32
19 CoreFoundation 0x00000001a2fae204 __CFRunLoopDoTimer + 940
20 CoreFoundation 0x00000001a2fadd5c __CFRunLoopDoTimers + 356
21 CoreFoundation 0x00000001a2f93744 __CFRunLoopRun + 1896
22 CoreFoundation 0x00000001a2f92888 CFRunLoopRunSpecific + 612
23 HIToolbox 0x00000001ac667fa0 RunCurrentEventLoopInMode + 292
24 HIToolbox 0x00000001ac667c30 ReceiveNextEventCommon + 236
25 HIToolbox 0x00000001ac667b2c _BlockUntilNextEventMatchingListInModeWithFilter + 72
26 AppKit 0x00000001a6214424 _DPSNextEvent + 632
27 AppKit 0x00000001a62135b4 -[NSApplication(NSEvent) _nextEventMatchingEventMask:untilDate:inMode:dequeue:] + 728
28 AppKit 0x00000001a62079e4 -[NSApplication run] + 464
29 libffi.8.dylib 0x0000000100f8004c ffi_call_SYSV + 76
30 libffi.8.dylib 0x0000000100f7d74c ffi_call_int + 1208
31 _ctypes.cpython-310-darwin.so 0x0000000100f60a30 _ctypes_callproc + 1324
32 _ctypes.cpython-310-darwin.so 0x0000000100f5abf8 PyCFuncPtr_call + 1160
33 python3.10 0x000000010031a294 _PyObject_MakeTpCall + 612
34 python3.10 0x00000001004090f0 call_function + 676
35 python3.10 0x0000000100404e58 _PyEval_EvalFrameDefault + 26500
36 python3.10 0x00000001003fddc8 _PyEval_Vector + 2056
37 python3.10 0x0000000100409058 call_function + 524
38 python3.10 0x0000000100404e58 _PyEval_EvalFrameDefault + 26500
39 python3.10 0x00000001003fddc8 _PyEval_Vector + 2056
40 python3.10 0x0000000100409058 call_function + 524
41 python3.10 0x0000000100404e58 _PyEva[I 2023-02-02 11:35:49.882 ServerApp] AsyncIOLoopKernelRestarter: restarting kernel (1/5), keep random ports
[W 2023-02-02 11:35:49.882 ServerApp] kernel c36559d1-bfae-4641-9caa-4803a5f3de18 restarted
[I 2023-02-02 11:35:49.893 ServerApp] Starting buffering for c36559d1-bfae-4641-9caa-4803a5f3de18:dbb93165-5a75-4dfe-b3c4-28acf55c2b7f
[I 2023-02-02 11:35:49.913 ServerApp] Restoring connection for c36559d1-bfae-4641-9caa-4803a5f3de18:dbb93165-5a75-4dfe-b3c4-28acf55c2b7f
[I 2023-02-02 11:36:20.129 ServerApp] Kernel shutdown: c36559d1-bfae-4641-9caa-4803a5f3de18
@rserranon did you pip install openbb
or git cloned?
See the image below for either option (I'm assuming that if you git cloned you have created your conda environment with name obb
, otherwise replace the conda activate obb
with your env name).
pip version (left): I'm just opening a new jupyter notebook file git clone (right): steps in the image

the error you are seeing most likely relates to the fact that your default jupyter kernel is not created in an environment that has openbb installed.
openbb sdk ships with a jupyter lab so if you launch jupyter lab
from the environment that you have installed it to - the default kernel (the most leftward tile icon with a python logo) is going to be the correct kernel.

the error you are seeing most likely relates to the fact that your default jupyter kernel is not created in an environment that has openbb installed. openbb sdk ships with a jupyter lab so if you launch
jupyter lab
from the environment that you have installed it to - the default kernel (the most leftward tile icon with a python logo) is going to be the correct kernel.
Native M1 versions are not working, the kernel gets rejected, and this is specific to M1 environments. X86 version works as expected.
[I 2023-02-08 15:10:53.920 LabApp] JupyterLab extension loaded from /Users/danglewood/GitHub/Conda_M1/miniconda3/envs/obb-m1/lib/python3.10/site-packages/jupyterlab
[I 2023-02-08 15:10:53.920 LabApp] JupyterLab application directory is /Users/danglewood/GitHub/Conda_M1/miniconda3/envs/obb-m1/share/jupyter/lab
the error you are seeing most likely relates to the fact that your default jupyter kernel is not created in an environment that has openbb installed. openbb sdk ships with a jupyter lab so if you launch
jupyter lab
from the environment that you have installed it to - the default kernel (the most leftward tile icon with a python logo) is going to be the correct kernel.
Native M1 versions are not working, the kernel gets rejected, and this is specific to M1 environments. X86 version works as expected.
[I 2023-02-08 15:10:53.920 LabApp] JupyterLab extension loaded from /Users/danglewood/GitHub/Conda_M1/miniconda3/envs/obb-m1/lib/python3.10/site-packages/jupyterlab [I 2023-02-08 15:10:53.920 LabApp] JupyterLab application directory is /Users/danglewood/GitHub/Conda_M1/miniconda3/envs/obb-m1/share/jupyter/lab
I'm running M1 native and worked fine
This was also a reported bug on the MPL GitHub, and the issue seems the same: https://github.com/matplotlib/matplotlib/issues/22545
https://stackoverflow.com/questions/70466222/m1-mac-python-assertion-failure-and-crashes-when-using-osx-as-backend-in-matplo
Native M1 versions are not working, the kernel gets rejected, and this is specific to M1 environments. X86 version works as expected.
The screenshot is from an M1 version.
I would like to take the discussion here back to the point that @rserranon made.
We see the terminal being unable to find the dotenv frequently when the terminal is launched from a different python environment than it was installed into. Please check
- Which env you are launching the jupyter lab from
- Which kernel are you selecting to use the sdk
Let me know if you solved the issue or if the problem persists. We'll try to help