cattrs | Complex custom class converters for attrs | Serialization library

We have been using spring integration core and spring integration amqp along with rabbitm-mq for a long time now. Our services also used dead lettering mechanism by using x-death header and amaqp-expiration header It used to work fine until now when we decied to upgrade the version of spring-integration .

Prior version : 5.0.6.RELEASE

New version : 5.2.4.RELEASE

Rabbit mq headers in previous version

I am attempting to create an EKS Cluster with the Cluster object in Python using the AWS CDK.

I have a Stack that constructs networking objects such as VPCs and Subnets. That Stack is defining three "types" of subnets:

1. A control subnet group - contains EKS ENIs
2. A worker subnet group - contains Worker node groups
3. A public subnet group - uses public route tables and will be responsible for ALBs, etc.

The code defining that information is below. This is coming from my Networking Stack:

I would like to structure and unstructure an attrs object, which includes dict fields that use simple frozen attrs for the dict keys. This works very well for objects created at runtime, but the frozen attribute fails to make un/structuring with cattrs easy.

This is a simple example of the problem:

I've been working on a project which so far has just involved building some cloud infrastructure, and now I'm trying to add a CLI to simplify running some AWS Lambdas. Unfortunately both the sdist and wheel packages built using poetry build don't seem to include the dependencies, so I have to manually pip install all of them to run the command. Basically I

1. run poetry build in the project,
2. cd "$(mktemp --directory)",
3. python -m venv .venv,
4. . .venv/bin/activate,
5. pip install /path/to/result/of/poetry/build/above, and then
6. run the new .venv/bin/ executable.

At this point the executable fails, because pip did not install any of the package dependencies. If I pip show PACKAGE the Requires line is empty.

The Poetry manual doesn't seem to specify how to link dependencies to the built package, so what do I have to do instead?

I am using some optional dependencies, could that be interfering with the build process? To be clear, even non-optional dependencies do not show up in the package dependencies.

pyproject.toml:

I would like to structure JSON to an attrs class that allows for extra fields using cattrs. cattrs by default will ignore extra fields and if forbid_extra_keys=True an error is raised when extra fields are passed.

I would like to do kind of the opposite: change the default behavior by allowing extra fields. I created an attrs class to do so but I'm a bit unsure on how to proceed with the custom cattrs converter. Here's what I have so far:

I have Airflow deployed in virtual env and in case I try to execute PythonVirtualenvOperator with import of the Airflow module (to get Variables for example) it gives me the AttributeError. Guess I do not fully understand how Airflow executes VirtualenvOperator, and therefore what to do to overcome it, so any suggestions and insights will be highly appreciated

My test DAG code

I'm trying to find some help installing apache-airflow.

I am on MacOS 10.15.7, Python version 3.8.2, and I keep getting an error:

ERROR: Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly

I have tried using earlier versions of pip and python to no avail.

Does anyone know what I can do in this situation? I have looked at all the stack overflow questions that popped up with these search terms but none have presented a solution that worked for me so far.

Any help would be much appreciated.

I am having below pipeline in azure devops. I have tested the cdk project on local and it works fine. When I run the same on azure devops, it gives an error.

pipeline

I am steering my learning wheel towards airflow during this weekend and while setting up and installing airflow at local machine using pip install apache-airflow, I'm getting following errors: