vagrant-projects VS httpx

> The hard part is honestly just having access to a DB server for testing.

Fwiw Microsoft SQL server is available as a Linux Docker build:

https://learn.microsoft.com/en-us/sql/linux/quickstart-insta...

Oracle is available as a container and vm:

https://container-registry.oracle.com/ords/f?p=113:4:1173021...

https://github.com/oracle/vagrant-projects

And via docker:

Since I decided to get rid of my old lab and create a new one, I started looking for some options and found and Oracle git repository for Vagrant deployments. The repository is very complete and the "OracleRAC" deployment was almost perfect of what I wanted to start with, specially the option to use VirtualBox or KVM/libVirt

PS D:\Vagrant> git clone https://github.com/oracle/vagrant-projects.git Cloning into 'vagrant-projects'... remote: Enumerating objects: 18, done. remote: Counting objects: 100% (18/18), done. remote: Compressing objects: 100% (17/17), done. remote: Total 2509 (delta 3), reused 5 (delta 0), pack-reused 2491 Receiving objects: 100% (2509/2509), 1.12 MiB | 2.42 MiB/s, done. Resolving deltas: 100% (1508/1508), done. Change to Database Directory

You can find more commands in Fleet Patching and Provisioning Control (RHPCTL) Command Reference Also, you can find more examples in the Oficial Oracle FPP GitHub

For reference, it's a butterfly, not a moth.

Source: https://github.com/encode/httpx/issues/834

Very cool, first I'm hearing of httpx https://www.python-httpx.org/

I think most people would start with trying out requests or something for this kind of work, I'm guessing that didn't work out? You've got a star from me.

To access 10 different commands at the same time, that is tricky but definitely doable.

First thing that comes to mind, you can use aliases.

To keep it simple, lets use 3 examples instead of 10: harlequin (this project), pgcli (https://www.pgcli.com/) and httpx (https://www.python-httpx.org/)

Setup a main home for all your venvs:

    cd ~

There are already some implementations for Python HTTP clients. One of them is aiometer. But it's not suitable for my use case. Since httpx already has the internal pool, it would be better to reuse the design.

Besides, flama also provides support for SQL databases via SQLAlchemy, an SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. Finally, flama also provides support for HTTP clients to perform requests via httpx, a next generation HTTP client for Python.

We can use the async HTTP client provided by httpx, a fully featured HTTP client for Python with an API broadly compatible with requests, so it can be used in pretty much the same way in most cases.

httpx in place of requests library

The main value of Requests is that it provided an abstract interface on top of HTTP, which was designed well-enough to become a standard. But today it has fallen way behind in its field, and there are much better alternatives such as HTTPX [0].

[0] https://www.python-httpx.org/

HTTPX is a popular Python library that provides an asynchronous HTTP client, and it can be beneficial for enabling async support in Django. While Django itself does not require HTTPX for async support, using HTTPX in combination with Django's async views can bring several advantages:

The underlying library for both sync and async is httpx (https://www.python-httpx.org/) which may be limited from the HTTP Client perspective but it may be possible to add rate limiting at a Session level.