Add support for uv in Python script plugins (python, dbt, singer)

[anna-geller]

Add support for uv:

• https://github.com/astral-sh/uv
• https://astral.sh/blog/uv

Working example that would be great to support in a less verbose way:

id: script_in_venv
namespace: dev
tasks:
  - id: bash
    type: io.kestra.plugin.scripts.python.Commands
    runner: DOCKER
    docker: 
      image: python:3.12-slim
    inputFiles:
      main.py: |
        import requests
        from kestra import Kestra

        response = requests.get('https://google.com')
        print(response.status_code)
        Kestra.outputs({'status': response.status_code, 'text': response.text})
    beforeCommands:
      - pip install uv
      - uv venv --quiet
      - . .venv/bin/activate --quiet
      - uv pip install --quiet requests kestra
    commands:
      - python main.py

---

This should work:

id: dbtGitDockerDuckDB
namespace: blueprint

tasks:
  - id: dbt
    type: io.kestra.core.tasks.flows.WorkingDirectory
    tasks:
    - id: cloneRepository
      type: io.kestra.plugin.git.Clone
      url: https://github.com/kestra-io/dbt-demo
      branch: main

    - id: dbt-build
      type: io.kestra.plugin.dbt.cli.DbtCLI
      runner: PROCESS
      beforeCommands:
        - curl -LsSf https://astral.sh/uv/install.sh | sh
        - source $HOME/.cargo/env
        - uv venv
        - source .venv/bin/activate
        - uv pip install dbt-duckdb
      commands:
        - dbt deps
        - dbt build

Currently, there are some issues to using uv as /bin/sh is forced as an interpreter. It makes sense to create a virtual environment with uv by default in all Python-based plugins when PROCESS runner is used. Alternatively, if easier, we can add UV runner that will create and activate uv venv by default