python-jose | A JOSE implementation in Python | Authentication library

You need to import jws from the package and use jws.sign().

Try importing it like

For anybody possibly dealing with the same issues this is how I handled the serialization it looked like it's working fine

The instructions Pip helpfully links you to explain what's going on, and it is indeed a bit of a hairy situation.

There is already an Beanstalk application that's running EC2s with docker containers that work just fine with these requirements so I'm not sure why this is happening now.

As to "why this is happening now" – two things I can think of:

• The Pip version in your base image has been updated; newer versions are smarter about conflicting dependencies (in that they refuse to install package constellations that might/should not work).
• Because your requirements.txt isn't necessarily fully locked down; there are transitive dependencies that get installed that aren't listed in the file that have become incompatible with one another.

However, since you already do have working container images, that's great! You could simply do

So the cryptography in python-jose[cryptography] is not generally the name of some other Python package. In this case it is but you can define any sets of extras you want named whatever you want for your package. For example you could have my-package[dev] for development requirements. See how python-jose defines these extra requirements here. Again, they are often other Python packages but not always, so what you're asking for is not something that would work generally.

Now when you just want to specify what requirements your application has, a requirements.txt with pinned versions for top-level dependencies will usually do a good job. But in your case it sounds like you want to fully freeze an environment. In that case specifying the versions of all dependencies including transitive dependencies is a very reasonable thing to do. python -m pip freeze > requirements.txt will do that for you (as it looks like you already know).

That, of course, is not something you want to do for a library that you want to let other people integrate into their own code, but it is absolutely something you might want to do when deploying an application.

This blog is good general reading on requirements files.

I believe kid is just a piece of metadata (any string) that is not being used in the process of generating the key.

In case of the use it is probably somewhat similar, though depending on the use you want different scheme for asymmetric cryptography (you can refer to the most well-known asymmetric cryptography system of RSA for both encryption and signing schemes' description).

All in all, you can most probably recreate the exact structure of JSON adding appropriate keys to JSON dict based on the information above.

There is nothing in the Conda CLI to handle this, but pip uninstall also works with a requirements.txt, which could easily be made with this output. For example,

You have to consider that dependencies for Python applications on App Engine Standard are declared in a standard requirements.txt file.

When you deploy to App Engine, the dependencies specified in the requirements.txt file will be installed automatically with your deployed app

Also regarding requirements.txt

“Requirements files” are files containing a list of items to be installed using pip install like so:

While using pip in an anaconda environment is allowed and fine, issues may arise when using pip and conda together, this was clearly mentioned in the conda docs.

One of the best practices when installing packagues in an anaconda environment is to use conda for search and install before using pip.

So instead of directly using pip, try to :

1. Search for pycryptodome in anaconda packages repo

   conda search pycryptodome

   pycryptodome is available in anaconda repo .

2. The next step is to install pycryptodome :

   conda install -c anaconda pycryptodome

   or if you want to use conda-foge channel :

   conda install -c conda-forge pycryptodome

   this should get pycryptodome installed into your env

3. To use a requirements.txt file with conda :

   conda install --yes --file requirements.txt

Summary : Best Practices Checklist When Using Pip in a Conda Environment

Use pip only after conda

• install as many requirements as possible with conda, then use pip

• pip should be run with –upgrade-strategy only-if-needed (the default)

• Do not use pip with the –user argument, avoid all “users” installs

Use conda environments for isolation

• create a conda environment to isolate any changes pip makes
• environments take up little space thanks to hard links
• care should be taken to avoid running pip in the “root” environment

Recreate the environment if changes are needed

• once pip has been used conda will be unaware of the changes
• to install additional conda packages it is best to recreate the environment

Store conda and pip requirements in text files

• package requirements can be passed to conda via the –file argument
• pip accepts a list of Python packages with -r or –requirements
• conda env will export or create environments based on a file with conda and pip requirements .

you can read more about this topic here on anaconda website, and on conda docs

This is by design in Django, and it is intentionally designed in this way. this is a parametrized way.
suppose someone has a column name with spaces like test column name then think what would happen. it will lead to some unwanted errors, so don't change the underlying logic of the framework.