One further question - do you think there is anything we can do in the
meantime in upstream libraries such as Altair so support rich reprs of
errors? Sure we could just publish a mimebundle, but then then we
can't raise, right?

On Mon, Nov 27, 2017 at 11:38 AM, Brian Granger <[email protected]> wrote:
>> I poked at it some time ago (sorry no branches), and plan to do refactoring
>> of IPython's error machinery to improve that. One issue is that the
>> Traceback fromatter does tokenizing and coloring at the same time (with raw
>> escape sequences) instead of yielding data structures that can be formatted
>> later. This was one of my reason to push Python 3 : to use generators, yield
>> and yield-from in this part of the codebase.
>> It is still _way_ too messy now, but better than it was a year ago.
>
> OK, that is helpful!
>
>> That's technically, for the overview, I also discussed a bit with Kyle at
>> spring dev meeting (and looked at tonic dev). I think that having some "get
>> together" with kernels author from multiple languages would be useful. In
>> particular I'd like to integrate the discussion about a debugger protocol
>> into this as well and/or link from error messages to code cells, which need
>> a bit more coordination than "just" mimebundles.
>
> Yeah I could imagine something more structured that mimebundles might
> be helpful in this context.
>
>>
>> I also tweeted
>> [that](https://twitter.com/Mbussonn/status/933418933994098688) in response
>> to same blog post, so you are 4 days late :-)
>
> :-) Thanks for the update, glad I wasn't alone in thinking about these things.
>
> Cheers, Brian
>
>> --
>> Matthias
>>
>>
>> On Sun, Nov 26, 2017 at 7:04 PM, Brian Granger <[email protected]> wrote:
>>>
>>> Hi all,
>>>
>>> Has anyone done work on using rich MIME based representations of
>>> exceptions and tracebacks in IPython+Jupyter?
>>>
>>> This nice blog post got me thinking about providing more helpful
>>> representations of errors to users:
>>>
>>> https://blog.keras.io/user-experience-design-for-apis.html
>>>
>>> Cheers,
>>>
>>> Brian
>>>
>>> --
>>> Brian E. Granger
>>> Associate Professor of Physics and Data Science
>>> Cal Poly State University, San Luis Obispo
>>> @ellisonbg on Twitter and GitHub
>>> [email protected] and [email protected]
>>>
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>>
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>
>
> --
> Brian E. Granger
> Associate Professor of Physics and Data Science
> Cal Poly State University, San Luis Obispo
> @ellisonbg on Twitter and GitHub
> [email protected] and [email protected]



-- 
Brian E. Granger
Associate Professor of Physics and Data Science
Cal Poly State University, San Luis Obispo
@ellisonbg on Twitter and GitHub
[email protected] and [email protected]

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