microsoft / microsoft/vscode-python-environments
"Failed to create conda environment" after the env is actually created — conda info --envs --json no longer returns envs_dirs (conda 26.x)
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- 主要语言
- TypeScript
- 星标
- 138
- 派生
- 62
- 平均合并
- 1 天 4 小时
- 30 天内合并 PR
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描述
Environment
| Extension | ms-python.vscode-python-envs 1.36.0 |
| VS Code | 1.136.1 (Windows 11, 10.0.26200) |
| conda | 26.7.2 (miniforge3) |
Steps to reproduce
- Python: Create Environment → Conda → Named (with an English display language).
- Pick a Python version, enter a name (
test).
Actual
conda itself succeeds — the output channel shows the whole transaction completing:
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
#
# To activate this environment, use
#
# $ conda activate test
and then the extension fails:
[info] Using conda from cache: C:\Users\...\miniforge3\Library\bin\conda.BAT
[info] Ran conda in 697: C:\Users\...\miniforge3\Library\bin\conda.BAT info --envs --json
[warning] conda info envs_dirs is undefined/null
[error] Failed to create conda environment A system error occurred
(ENOENT: no such file or directory, scandir
'C:\Users\...\AppData\Local\Programs\Microsoft VS Code\conda-meta')
The environment is created and fully usable. Only the post-creation prefix lookup fails — but the user is shown Failed to create conda environment, which reads as though nothing was created.
Cause
The env-dirs helper calls conda info --envs --json and reads envs_dirs from it:
const e = await H(["info", "--envs", "--json"]);
const t = JSON.parse(e);
const n = t.envs_dirs;
return null == n
? (traceWarn("conda info envs_dirs is undefined/null"), { envs_dirs: [] })
: Array.isArray(n)
? { envs_dirs: n }
: { envs_dirs: [] };
As of conda 26.x, conda info --envs --json returns only envs and envs_details. envs_dirs is present only in the unfiltered conda info --json:
$ conda info --envs --json
{
"envs": [
"C:\\Users\\...\\miniforge3",
"C:\\Users\\...\\miniforge3\\envs\\test",
...
],
"envs_details": { ... }
}
# no envs_dirs key
$ conda info --json | findstr envs_dirs
"envs_dirs": [ ... ]
So envs_dirs becomes []. The empty list makes the subsequent prefix search join an empty base path, and conda-meta ends up resolved relative to the process cwd — VS Code's own install directory — which is the ENOENT above.
Aggravating factor
The empty result is cached, and the cache-hit check accepts an empty array:
const n = await e.get(CONDA_PREFIXES_KEY);
if (n && Array.isArray(n)) return j = n, j; // [] passes this check
...
j = n.envs_dirs; // []
await e.set(CONDA_PREFIXES_KEY, ...); // and gets cached
Once it has failed, the bad [] is served from cache on later attempts, so the failure persists until the cache is cleared.
Suggested fix
- Read
envs_dirsfromconda info --json(orconda config --show envs_dirs --json) instead ofconda info --envs --json. - Better still, derive the new environment's prefix from the
envsarray that the same response already returns — it contains the full path of the environment that was just created. - Treat an empty
envs_dirsas a failure rather than a value: don't cache it, and require a non-empty array on the cache-hit path.
贡献指南
从这里开始
- 先读完整个 Issue,再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
首先定位 issue 中描述的 env-dirs helper 以及 CONDA_PREFIXES_KEY 的 cache-hit 和 cache-write 路径。将 conda info --envs --json 的响应与未过滤的响应进行比较,然后验证创建环境时能够成功解析其 prefix,避免缓存空的 envs_dirs 值,并且不再报告虚假失败。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- typescript, vscode
- 领域
- developer-experience, tooling
- Issue 类型
- 缺陷
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 活跃度
- 活跃
- 描述清晰度
- 基本清楚
- 新手友好度
- 68/100