V P
V P

Reputation: 3924

Jupyter Notebook not saving: '_xsrf' argument missing from post

I've been running a script on jupyter notebooks for about 26 hour; I haven't really been using my computer for anything else, but it needs to run this program that will take ~30 hours to complete. At about 21 hours in, it stopped saving and my terminal had this:

403 PUT /api/contents/[file.ipynb] (::1): '_xsrf' argument missing from POST

where [file.ipynb] is the location of my jupyter notebook. It also says:

'_xsrf' argument missing from post

in the top right part of the notebook again. The program is still running and I don't want to restart jupyter notebook and have to run the program again, as I have a deadline, is there anything else I can do?

I'm using google chrome, but I don't have the LastPass extension or any '%' characters in my code, as another post suggested.

Thanks for any help!

Upvotes: 387

Views: 406010

Answers (21)

marinovik
marinovik

Reputation: 606

I believe there are enough solutions posted to solve the problem. But just in case someone wants to know why this error arises:

The "XSRF argument missing from POST" error is typically encountered when you are trying to make a POST request to a Jupyter notebook server, and the server is unable to verify that the request is legitimate.

This error can occur when the request is missing the required XSRF (Cross-Site Request Forgery) token. This token is a security measure that helps to protect against malicious attacks by ensuring that requests to the server are legitimate.

Upvotes: 3

ricardlambea
ricardlambea

Reputation: 115

What worked for me was just changing the kernel.
To change the kernel just go to the top-page bar of the notebook, select Kernel, then Change kernel, and then select another Kernel among the ones you have (you need to have at least two preset kernels, obviously). After changing it the message '_xsrf' argument missing from post disappeared and the notebook could be saved again.

Upvotes: 2

David Brochart
David Brochart

Reputation: 885

You can disable the XSRF checks by launching e.g. JupyterLab with:

jupyter lab --ServerApp.disable_check_xsrf=True

This probably means that your server is not token-authenticated. For instance, you may have launched JupyterLab with:

jupyter lab --NotebookApp.token='' --NotebookApp.password=''

And it also probably means that you are running JupyterLab on you local machine and your server is not accessible remotely, so this is fine.

But in general beware that if your server doesn't have authentication, it is vulnerable to XSRF.

Upvotes: 11

AnksG
AnksG

Reputation: 546

The error was gone just after refreshing the tab of my browser.

Upvotes: 2

thomaskeefe
thomaskeefe

Reputation: 2404

Simply refreshing the tree tab worked for me.

Upvotes: 10

Big Dumb
Big Dumb

Reputation: 120

The rest of the answers didn't work for me. I went to localhost:8888 and clicked on running, then shut down the notebook from there. Then I swapped back to the original notebook and clicked "don't restart". After that save the notebook and restart it.

Upvotes: 0

Idodo
Idodo

Reputation: 1428

For anyone using jupyterlab on AWS Sagemaker - duplicating the tab is enough to solve the issue.

Upvotes: 0

Sweta Shrestha
Sweta Shrestha

Reputation: 47

I also came across the same error. I just opened another non-running Juputer notebook and an error is automatically gone.

Upvotes: 4

Toru Kikuchi
Toru Kikuchi

Reputation: 382

In my case, this problem was solved by clicking 'Kernel' (shown on the top of notebooks) and then 'Reconnect'.

Note Added: In some versions of Jupyter, there is not 'Reconnect'.

Upvotes: 5

Superman_Shield
Superman_Shield

Reputation: 51

In My Case, I have a close tab of Home Page. After Re-opening the Jupyter.The Error was automatically gone and We can save the file.

Upvotes: 0

salconte
salconte

Reputation: 233

The only solution worked for me was:

  1. I opened a new tab in chrome
  2. I pasted : http://localhost:8888/?token=......
  3. then I went to my original notebook and I was able to save it

Upvotes: 22

EdemaRuh
EdemaRuh

Reputation: 161

The most voted answer doesn't seem to work when using Jupyter Lab. This one does, however. Just copy the url into a new tab, replace 'lab' with 'tree' and hit enter to load the page. It will generate a new csrf token for your session and you're good to go!

I would suggest enabling Settings > Autosave Documents by default to avoid worrying about losing work in future. It saves very regularly so everything should be up to date before any timeouts happen anyway.

I did not need to open a new notebook. Instead, I reopened the tree, and reconnected the kernel. At some point I also restarted the kernel. – user650654 Oct 9 '19 at 0:17

Upvotes: 0

user14063657
user14063657

Reputation: 21

I was able to solve it by clicking on the "Kernel" drop down menu and choosing "Interrupt."

Upvotes: 2

caxcaxcoatl
caxcaxcoatl

Reputation: 8980

The easiest way I found is this:

https://github.com/nteract/hydrogen/issues/922#issuecomment-405456346

Just open another (non-running, existing) notebook on the same kernel, and the issue is magically gone; you can again save the notebooks that were previously showing the _xsrf error.

If you have already closed the Jupyter home page, you can find a link to it on the terminal from which Jupyter was started.

Upvotes: 765

liangli
liangli

Reputation: 1197

This is the easiest way.

I did not need to open a new notebook. Instead, I reopened the tree, and reconnected the kernel. At some point I also restarted the kernel. – user650654 Oct 9 '19 at 0:17

Upvotes: -1

Open the developer setting and click console and type the following

JSON.parse(document.getElementById('jupyter-config-data').textContent).token

Then try saving the Notebook. The notebook that was not saving previously will save now.

Upvotes: 0

GDB
GDB

Reputation: 3579

The solution I came across seems too simple but it worked. Go to the /tree aka Jupyter home page and refresh the browser. Worked.

Upvotes: 204

Saurabh Verma
Saurabh Verma

Reputation: 6738

1 workaround to solve this problem is:

  1. Download the notebook which you are not able to save by going to: File --> Download as --> Notebook (ipynb).

  2. Open the downloaded notebook by clicking on the downloaded file on the jupyter browser UI

Now, you should be able to save (or rename) this notebook from jupyter UI

Upvotes: 3

brz
brz

Reputation: 11

I got the same problem (impossible to save either notebooks and .py modules) using an image in the nvidia docker. The solution was just opening a terminal inside jupyter without typing anything but exit once the files were saved. It was done in the same browser/jupyter instance.

Machine OS: Ubuntu 18.04

Upvotes: 1

music_piano
music_piano

Reputation: 698

When I click 'save' button, it has this error. Based on the answers in this post and other websites, I just found the solution. My jupyter notebook is installed from pip. So I access it by typing 'jupyter notebook' in the windows command line.

(1) open a new command window, then open a new jupyter notebook. try to save again in the old notebook, this time ,the error is 'fail: forbidden'

(2) Then in the old notebook, click 'download as', it will pop out a new windows ask you the token.

enter image description here

(3) open another command window, then open another jupyter notebook, type 'jupyter notebook list' copy the code after 'token=' and before :: to the box you just saw. You can save this time. If it fails, you can try another token in the list

Upvotes: 5

Biggsy
Biggsy

Reputation: 1374

I use jupyter notebooks daily and had never experienced this issue before... until today. I had the notebook open all day but it wasn't running anything and then for no apparent reason stopped auto-saving with the '_xsrf' argument missing from POST error message in the top right. FYI - this is a python3 notebook.

I don't know the cause of this problem but I have recently upgraded my python3 version to 3.7.2 and upgraded all of my site-packages to their latest version as of a few days ago which could possibly be the cause.

As for a solution, as suggested in the comment by @AlexK, I opened the same notebook in a new window (different browser in fact), using

jupyter notebook list

in the terminal to get the URL with login token.

This resulted in me having the notebook open and savable again but the information I had entered since the last successful auto-save was missing. Thankfully, my broken instance was still open and working apart from saving so I was able to simply copy and paste the information across then hit save. So, keep the broken instance open if you try this!

Upvotes: 10

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