marshmallow | An open source Campfire server | Frontend Framework library

The simplest way to disable Dark Mode is

I encourage you to switch your project to FastAPI, it isn't much different or more difficult than Flask.

FastAPI docs about generating OpenAPI schema

It will not only allow you to generate OpenAPI docs / specification easily. It is also asynchronous, much faster and modern.

See also FastAPI Alternatives, Inspiration and Comparisons to read about differences.

Especially this citation from link above should explain why doing what you try to do may not be the best idea:

Flask REST frameworks

There are several Flask REST frameworks, but after investing the time and work into investigating them, I found that many are discontinued or abandoned, with several standing issues that made them unfit.

I end up using this FileUtils, wich worked perfectly.

Thanks for the answers.

I set the AIRFLOW_HOME and AIRFLOW__CORE__SQL_ALCHEMY_CONN environment before run airflow db init.

Playbook version

Make sure you are using item.lower() and not item.lower. I would also use a dictionary, where the key is the name of the aisle, and the value is a list of items in that aisle.

Error #2: Start tag seen without seeing a doctype first. Expected .

You missing the tag. it is not optional. It is required to tell the browser which version of HTML is used.

Error #1: Consider adding a lang attribute to the html start tag to declare the language of this document.

This mean that you should add as 2nd line a tag declaring the language of your website. This is helpful for search engines and screen-readers. As example:

Error #3: Element head is missing a required instance of child element title.

Your section is missing. Also part of the head-section is the </code> tag. There you are required to add a title that is also shown then inside the browser tab at the top.</p>

Also part of the head content are meta data such as search tags. Also your links for external CSS, Scripts or libraries.

It seems that you are confusing the use-cases for PythonVirtualenvOperator and PythonOperator.

If you simply want to run a Python callable in a task (callable_virtualenv() in your case) you can use PythonOperator. In this case, it does not matter if you installed Airflow in a virtual environment, system wide, or using Docker.

What happens in your code is the following: PythonVirtualenvOperator creates another virtual environment (which is completely unrelated to the one in which you run Airflow), installs Airflow into it, and tries to import Variable. But this another Airflow installation is not configured and that is why you get those exceptions. You could set the AIRFLOW_HOME environment variable for this second Airflow installation to the same directory as used by the first Airflow installation, and this should actually work, but it looks like an overkill to me.

So, what you can do is install colorama into the same environment in which you installed Airflow and replace PythonVirtualenvOperator by PythonOperator.

BTW, those print() inside the callable would be redirected into a log file and not printed to terminal, so it probably does not make much sense to use colorama with them.

Try creating Inventory objects:

I believe your goal as follows.

• You want to convert the curl command in your question to Google Apps Script.