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Visualisation of pipelines. I can not use kedro viz from the command line, nor from within Jupyter.
Once I did manage to get it to run from within Jupyter, but I have not managed since then.
Steps to Reproduce
I'm stuck with a remote system. I have tried a demo version on my local machine.
kedro jupyter lab - I'm able to use my forwarded port. I don't forward 4141 or 4142.
Start a vkh kernel
Try the line magic %run_viz
I have tried forwarding ports 4141 and 4142 but no difference.
There are no processes on 4141 and 4142
Expected Result
I hoping to see a visualisation appear in the web-browser
Actual Result
The following errors.
This appear within one second
/home/share/conda/envs/vega/lib/python3.8/site-packages/kedro/framework/context/context.py:32: DeprecationWarning: Accessing package_name via the context will be deprecated in Kedro 0.18.0.
warn(
Process Process-1:
Traceback (most recent call last):
File "/home/share/conda/envs/vega/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap
self.run()
File "/home/share/conda/envs/vega/lib/python3.8/multiprocessing/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/home/share/conda/envs/vega/lib/python3.8/site-packages/kedro_viz/server.py", line 75, in run_server
catalog, pipelines, session_store_location = kedro_data_loader.load_data(
File "/home/share/conda/envs/vega/lib/python3.8/site-packages/kedro_viz/integrations/kedro/data_loader.py", line 59, in load_data
with KedroSession.create(
File "/home/share/conda/envs/vega/lib/python3.8/site-packages/kedro/framework/session/session.py", line 282, in __enter__
_activate_session(self)
File "/home/share/conda/envs/vega/lib/python3.8/site-packages/kedro/framework/session/session.py", line 57, in _activate_session
raise RuntimeError(
RuntimeError: Cannot activate the session as another active session already exists.
---------------------------------------------------------------------------
WaitForException Traceback (most recent call last)
/var/tmp/ipykernel_2710/2501415936.py in <module>
----> 1 get_ipython().run_line_magic('run_viz', '')
/home/share/conda/envs/vega/lib/python3.8/site-packages/IPython/core/interactiveshell.py in run_line_magic(self, magic_name, line, _stack_depth)
2346 kwargs['local_ns'] = self.get_local_scope(stack_depth)
2347 with self.builtin_trap:
-> 2348 result = fn(*args, **kwargs)
2349 return result
2350
/home/share/conda/envs/vega/lib/python3.8/site-packages/kedro_viz/launchers/jupyter.py in run_viz(port, line, local_ns)
131 _VIZ_PROCESSES[port] = viz_process
132
--> 133 _wait_for(func=_check_viz_up, port=port)
134
135 wrapper = """
/home/share/conda/envs/vega/lib/python3.8/site-packages/kedro_viz/launchers/jupyter.py in _wait_for(func, expected_result, timeout, print_error, sleep_for, **kwargs)
65 sleep(sleep_for)
66
---> 67 raise WaitForException(
68 f"func: {func}, didn't return {expected_result} within specified timeout: {timeout}"
69 )
WaitForException: func: <function _check_viz_up at 0x7fcf58ed48b0>, didn't return True within specified timeout: 10
Your Environment
Include as many relevant details as possible about the environment you experienced the bug in:
Web browser system and version: Not applicable yet
Operating system and version:
Linux ip-10-136-18-153.eu-west-1.compute.internal 4.14.256-197.484.amzn2.x86_64 Inclusion of Code of Conduct & Release Log #1 SMP Tue Nov 30 00:17:50 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
NodeJS version used (if relevant): n/a
Kedro version used (if relevant):
2022-02-10 12:14:45,402 - kedro.framework.cli.hooks.manager - INFO - Registered CLI hooks from 1 installed plugin(s): kedro-telemetry-0.1.2
kedro, version 0.17.6
Python version used (if relevant):
which python
/home/share/conda/envs/vega/bin/python
(vega) walter-eaves@ip-10-136-18-153:/home/share/conda/envs/vega/lib/python3.8/site-packages
1187$ python -V
Python 3.8.12
Thanks for reporting this @eepgwde. I can confirm that this was actually a Kedro rather than Kedro-Viz bug, and it's fixed in 0.18.1. If for some reason you can't upgrade Kedro then calling session.close() in your Jupyter notebook before doing %run_viz will fix it.
Description
From within jupyter
Context
Visualisation of pipelines. I can not use kedro viz from the command line, nor from within Jupyter.
Once I did manage to get it to run from within Jupyter, but I have not managed since then.
Steps to Reproduce
I'm stuck with a remote system. I have tried a demo version on my local machine.
I have tried forwarding ports 4141 and 4142 but no difference.
There are no processes on 4141 and 4142
Expected Result
I hoping to see a visualisation appear in the web-browser
Actual Result
The following errors.
This appear within one second
Your Environment
Include as many relevant details as possible about the environment you experienced the bug in:
Linux ip-10-136-18-153.eu-west-1.compute.internal 4.14.256-197.484.amzn2.x86_64 Inclusion of Code of Conduct & Release Log #1 SMP Tue Nov 30 00:17:50 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
2022-02-10 12:14:45,402 - kedro.framework.cli.hooks.manager - INFO - Registered CLI hooks from 1 installed plugin(s): kedro-telemetry-0.1.2
kedro, version 0.17.6
which python
/home/share/conda/envs/vega/bin/python
(vega) walter-eaves@ip-10-136-18-153:/home/share/conda/envs/vega/lib/python3.8/site-packages
1187$ python -V
Python 3.8.12
pip
pip list --verbose | grep kedro
kedro 0.17.6 /home/share/conda/envs/vega/lib/python3.8/site-packages pip
kedro-telemetry 0.1.2 /home/share/conda/envs/vega/lib/python3.8/site-packages pip
kedro-viz 4.3.1 /home/share/conda/envs/vega/lib/python3.8/site-packages pip
Checklist
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