Как получить имя ошибки в python и немного про то, как импортить собственные скрипты на kaggle

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How to get the name of an exception that was caught in Python

Ссылка на оверфло

Три варианта:

  • type(exception).__name__
  • exception.__class__.__name__
  • exception.__class__.__qualname__

Пример реализации

try:
    foo = bar
except Exception as exception:
    assert type(exception).__name__ == 'NameError'
    assert exception.__class__.__name__ == 'NameError'
    assert exception.__class__.__qualname__ == 'NameError'

Смотри в дополнение про то, как получить сообщение ошибки в виде строки [2021-06-04-daily-note]

Feature Launch: Import scripts into notebook kernels

Скажем так, не сильно полезная фича, т.к. нет возможности выстроить настоящую структуру пакета, а импорт ограничивается ноутом. Ну и плюс все это надо делать руками через jupyter notebook. Но, если есть какие-то сильно часто встречающиеся куски кода, то можно попробовать так реализовать.

  • Create a script kernel with the code you’d like to import.
  • Under the “File” menu, click on “Make Utility Script”. This will let you import this script to notebook kernels.
  • Commit your script. When you import a script, you’re importing the most recent committed version. If you haven’t committed a version yet, you won’t see it in the list of scripts you can import.
  • Open the notebook where you’d like to import the script.
  • Add the script. Under “File”, click “Add utility script”. Search for the script you want and click to add it. You should see it listed under “usr/lib” in the panel on the right hand side.
  • Import your script. In Python you can do this using import nameof_script.
  • Use the functions or objects you’ve imported!

  • a utility script can be a combination of multiple code snippets in different source files
  • be able to add data/non-code related files as part of the utility function
  • allow folder structure where code and data can reside in a structured fashion
  • allow access to the data area of the notebook via an environment variable or some other method
  • allow linking a gist where the code can reside (gist will contain the code for the utility script)
  • allow linking a git repo (via branch or commit points) - will contain the code for the utility script)
  • allow linking only a folder in a git repo where the code and data resides

The above will help in the following ways:

  • keep the main utility script small, simple and modular
  • easy to read, change and use
  • can be version controlled via another public SCM system while still visible to the kernel
  • keep components of the utility script separate from the data or configuration files in an organised manner

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