How to expose environments created with Snakemake

In [Snakemake](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#target-rules) you normally do something like this

```python
rule my_rule:
input:
"some/input"
output:
"some/output"
conda:
"a/conda/env.yml"
script:
"some/script.py"
```

when the workflow is launched a new conda env will be created under `.snakemake/conda/xxx` where `xxx` is a hash created by snakemake (kind of a name)

Now I was hoping that doing this in `.vscode/settings.json` was enough,

```json
{
....
"python-envs.workspaceSearchPaths": [".snakemake/conda/**"],
....
}
```

But then when I e.g. open a jupyter notebook from VSCode I do not see any of those envs (neither as simple envs nor as kernels as all of them have also `ipykernel` installed)

Am I missing something?

从 .vscode/settings.json 配置开始，将 python-envs.workspaceSearchPaths 设置为 .snakemake/conda/**，重现环境发现过程。打开 Jupyter notebook 时，检查生成的 Snakemake 环境是如何处理的，以及它们是否作为环境或 kernel 提供。匹配的环境显示在相关的 VS Code 选择器中即表示完成。

由索引模型根据 Issue 内容生成。