Intellisense under Jedi is very slow when virtualenv folder is present in workspace folder on Windows

[mrkafk]

Environment data

• VS Code version: 1.28.2
• Extension version (available under the Extensions sidebar): 2018.9.0
• OS and version: Win 7 x64
• Python version (& distribution if applicable, e.g. Anaconda): 3.6, Miniconda
• Type of virtual environment used (N/A | venv | virtualenv | conda | ...): venv
• Relevant/affected Python packages and their versions:

Actual behavior

Intellisense is very slow, waiting like 30s for autocompletion on class method, etc., when virtualenv (python -m venv ve) is created in workspace folder.

The symptomps are very similar to #1810

Expected behavior

Intellisense works with reasonable response time.

Note: I have verified that when I create virtualenv outside the workspace folder and set python.pythonPath accordingly, it is reasonably fast.

Steps to reproduce:

0. Ensure Jedi is enabled in User Settings.

1. Create virtualenv in the workspace folder.

python -m venv ve

2. Set virtualenv's Python in python.pythonPath.

3. Try to get autocompletion on anything, like dictionary method, in a small script (270 LOC in my case).

Note

A nice workaround / solution would be some setting for Jedi to skip selected folders for intellisense
/ autocomplete analysis.

[brettcannon]

You should be able to exclude files using the "files.exclude" setting. Otherwise please try the new language server by setting "python.jediEnabled": false.

We're also working to upgrade Jedi in #2667 which may help in this situation.

[brettcannon]

Did you open the virtual environment as your workspace folder? Basically the entire team works with having a virtual environment locally in the workspace folder and we have not noticed a specific slow-down or performance issue.

[brettcannon]

Because we have not heard back with the information we requested, we are closing this issue for now. If you are able to provide the info later on then we will be happy to re-open this issue to pick up where we left off.