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aws-samples / sagemaker-run-notebook

Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
Apache License 2.0
140 stars 68 forks source link

Installing on current AWS Sagemaker JupyterLab #52

Closed papierGaylard closed 1 year ago

papierGaylard commented 2 years ago

Hi there,

I'm wondering if anyone has had success installing this and scheduling a notebook using AWS Sagemaker Jupyter Lab?

Following the Quick Start, I've created the using command run notebook create stack from my local machine, using my was credentials. It creates and the stack says 'successful'.

Next, I run the run-notebook create-container, which runs the AWS codebuild job, which runs successfully.

Then, I load into my AWS Sagemaker jupyter lab notebook instance and I try to run the command install-run-notebook.sh.

Then I run the command and it successfully finished.

However when I refresh the browser, restart the client or shut down start the notebook instance I can't get the extension to pop up.

Any ideas?

papierGaylard commented 2 years ago

Here's an update with my log output from the 'install-run-notebook.sh':

sh-4.2$ bash install-run-notebook.sh 
Collecting https://github.com/aws-samples/sagemaker-run-notebook/releases/download/v0.20.0/sagemaker_run_notebook-0.20.0.tar.gz
  Downloading https://github.com/aws-samples/sagemaker-run-notebook/releases/download/v0.20.0/sagemaker_run_notebook-0.20.0.tar.gz (64 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 64.7/64.7 KB 1.3 MB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Requirement already satisfied: boto3>=1.10.44 in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages (from sagemaker-run-notebook==0.20.0) (1.21.42)
Requirement already satisfied: botocore<1.25.0,>=1.24.42 in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages (from boto3>=1.10.44->sagemaker-run-notebook==0.20.0) (1.24.42)
Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages (from boto3>=1.10.44->sagemaker-run-notebook==0.20.0) (0.5.2)
Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages (from boto3>=1.10.44->sagemaker-run-notebook==0.20.0) (1.0.0)
Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages (from botocore<1.25.0,>=1.24.42->boto3>=1.10.44->sagemaker-run-notebook==0.20.0) (1.26.8)
Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages (from botocore<1.25.0,>=1.24.42->boto3>=1.10.44->sagemaker-run-notebook==0.20.0) (2.8.2)
Requirement already satisfied: six>=1.5 in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.25.0,>=1.24.42->boto3>=1.10.44->sagemaker-run-notebook==0.20.0) (1.16.0)
yarn config v1.15.2
success Set "cache-folder" to "/tmp/yarncache".
Done in 0.03s.
[LabBuildApp] Searching ['/home/ec2-user/SageMaker', '/home/ec2-user/.jupyter', '/home/ec2-user/.local/etc/jupyter', '/home/ec2-user/anaconda3/envs/JupyterSystemEnv/etc/jupyter', '/usr/local/etc/jupyter', '/etc/jupyter'] for config files
[LabBuildApp] Looking for jupyter_config in /etc/jupyter
[LabBuildApp] Looking for jupyter_config in /usr/local/etc/jupyter
[LabBuildApp] Looking for jupyter_config in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/etc/jupyter
[LabBuildApp] Loaded config file: /home/ec2-user/anaconda3/envs/JupyterSystemEnv/etc/jupyter/jupyter_config.json
[LabBuildApp] Looking for jupyter_config in /home/ec2-user/.local/etc/jupyter
[LabBuildApp] Looking for jupyter_config in /home/ec2-user/.jupyter
[LabBuildApp] Looking for jupyter_config in /home/ec2-user/SageMaker
[LabBuildApp] WARNING | Config option `kernel_spec_manager_class` not recognized by `LabBuildApp`.
[LabBuildApp] Looking for JupyterLab_config in /etc/jupyter
[LabBuildApp] Looking for JupyterLab_config in /usr/local/etc/jupyter
[LabBuildApp] Looking for JupyterLab_config in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/etc/jupyter
[LabBuildApp] Looking for JupyterLab_config in /home/ec2-user/.local/etc/jupyter
[LabBuildApp] Looking for JupyterLab_config in /home/ec2-user/.jupyter
[LabBuildApp] Looking for JupyterLab_config in /home/ec2-user/SageMaker
[LabBuildApp] JupyterLab 1.2.21
[LabBuildApp] Building in /home/ec2-user/anaconda3/envs/JupyterSystemEnv/share/jupyter/lab
[LabBuildApp] Yarn configuration loaded.
[LabBuildApp] Node v14.18.3

[LabBuildApp] Building jupyterlab assets (build:prod)
[LabBuildApp] WARNING | 
"sagemaker_run_notebook@0.20.0" is not compatible with the current JupyterLab
Conflicting Dependencies:
JupyterLab              Extension        Package
>=1.2.11 <1.3.0         >=2.0.0 <3.0.0   @jupyterlab/application
>=1.2.11 <1.3.0         >=2.0.0 <3.0.0   @jupyterlab/apputils
>=1.2.12 <1.3.0         >=2.0.0 <3.0.0   @jupyterlab/notebook
>=16.8.4 <16.9.0        >=16.9.0 <16.10.0react

[LabBuildApp] > node /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages/jupyterlab/staging/yarn.js install --non-interactive
\[LabBuildApp] yarn install v1.15.2
[1/5] Validating package.json...
[2/5] Resolving packages...
success Already up-to-date.
Done in 0.74s.

[LabBuildApp] > node /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages/jupyterlab/staging/yarn.js yarn-deduplicate -s fewer --fail
|[LabBuildApp] yarn run v1.15.2
$ /home/ec2-user/anaconda3/envs/JupyterSystemEnv/share/jupyter/lab/staging/node_modules/.bin/yarn-deduplicate -s fewer --fail
Done in 0.48s.

[LabBuildApp] > node /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages/jupyterlab/staging/yarn.js run build:prod
|[LabBuildApp] yarn run v1.15.2
$ ensure-max-old-space webpack --config webpack.prod.config.js
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nohup: ignoring input and appending output to ‘nohup.out’
papierGaylard commented 2 years ago

UPDATE: If anyone else is looking to automate their jupyter notebook scripts in was JUPYTER LAB. Then follow the instructions for JUPYTER LAB and not AWS Sagemaker Studio!

(for me) The base install on AWS uses jupyter lab v1, so go to the V0.19.0 and work from there. Restart your instance once you have the lifecycle policy attached (you also need to shut down and edit the instance once done so to update the life cycle config).

tomfaulhaber commented 1 year ago

v0.22.0 is now released with JupyterLab 3.x support.