Uv Run Not Working. Hi, trying out uv run So running pyenv and then uv for pip
Hi, trying out uv run So running pyenv and then uv for pip sync etc works just fine. That should maybe be clear enough from the fact that it We wanted to report a problem that trips us when trying to invoke uv run from a Python process, in this case using the mcp library, where the program does not terminate (i. When running Ten words or less uv run pytest does not work in my project. This also shows the inner-works of core uv for python env instantiation. py so that dependencies and environment resolve correctly. I was surprised by this because earlier posts seemed to suggest this wouldn't work, and just wanted to Use these settings to specify which log files generated while running or debugging should be displayed in the console, that is, on the dedicated tabs I realised later on that the reason the command wasn't working is simply because it was missing the command to be executed. I think the package manager uv (by astral) simplifies working with jupyter a lot, and therefore I’d like to share here some snippets that I find useful. For example, when uv run is used, the project is locked and synced before invoking the requested command. g. Description I have a very small project trying our uv and the next-gen tooling It's a real entrypoint, something you will use to run, and that, theoretically, it belongs to your project, not to uv as a task manager. such as it runs on diff python references than follow up Do not run packaged app with uv run src/uv_workspaces/hello. scripts. 35 platform: linux (x86_64) Problem: uv run always creates a new environment even if current should be compatible, in certain projects. Now that I have started to use uv instead, I decided to run through the same example with uv instead of Poetry. That should maybe be clear enough from the fact that it uv run run-module I hope this helps anyone who struggles with this mostly as it is hard to find the related documentation without the right keywords such as "package namespace". Here is how I setup a quick way to run the To be clear, I'm posting to report the same finding as you: that uv seems to work fine. meaning that in the above example the fix is just to add a It took me a while to figure out why uv run pytest wouldn’t work - it wasn’t finding my library! Turns out: uv uses the presence of a build system to determine if a project contains a This post demonstrates how to solve the python packages installed by uv not working in PyCharm. This environment is isolated from the current shell by default, so invocations that require the project, e. , If you must use py_executable, only set it to "uv run" (not a shell chain), and ensure your cluster image has uv installed and the correct Python version. Summary In my python project, I have a scripts folder where I keep various utilities that need to import code from the main app folder. Summary Context When executing the command uv run inside a project, the project environment will be created and updated before invoking the command (docs). It's a real entrypoint, something you will use to run, and that, theoretically, it belongs to your project, not to uv as a task manager. as per your uv 0. uv can be installed via: Installation | A template repo with uv package management, ready for deployment to Streamilt Community Cloud - data-sloth/uv-streamlit-setup A guide to using uv to install Python, including requesting specific versions, automatic installation, viewing installed versions, and more. It'd be nice if this flow worked simply to avoid needing to activate a virtualenv - regardless of whether I'm using a full uv project or not. $ uv venv $ uv pip install -e . py, use project. This ensures uv uv auth uv run uv init uv add uv remove uv version uv sync uv lock uv export uv tree uv format uv tool uv python uv pip uv venv uv build uv publish uv cache uv self uv generate-shell A guide to using uv to create and manage Python projects, including adding dependencies, running commands, and building publishable distributions. posted on 2024-11-24 Almost 3 years ago, I wrote down a Getting started with Python Poetry. Since pytest relies on the dependencies, it should run in a virtual environment with the package and I am having a related/similar issue, previously running my own package like poetry -C ~/path-to-mypackage run mypackage and not figuring out how to do this with uv. Automatic lock and sync Locking and syncing are automatic in uv. 1. . , and then highlight the line import pymupdf and hit Shift + Enter to run it in the integrated When you run pytest as a tool, it is installed in a separate isolated virtual environment. $ uv run python However Similarly, when running a command that does not mutate the environment such as uv pip compile, uv does not require a virtual environment — however, a Python interpreter is still required. venv. For your case, since its one file it would still work but with . e. stalls), while When working on a project, it is installed into the virtual environment at . However, when I launch Visual Studio Code from this folder with my uv venv activated with code . Would you like a step-by-step Even if you point the Python interpreter at a uv venv, you still need to uv scripts using uv run foo.