Comments (4)
fcollonval
commented on May 28, 2024
Thanks for reporting the issue @fperez
Could you run JupyterLab in debug mode and report the here the output log?
You should see the executed command and their results.
One source of trouble I have seen previously is due to conda or mamba being installed in the environment itself - although from the result of
conda infoit does not seems to be the case here.
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hackeye
commented on May 28, 2024
[D 2021-06-09 14:12:59.148 ServerApp.mamba_gator] output: [
{
"base_url": "https://conda.anaconda.org/pypi",
"build_number": 0,
"build_string": "pypi_0",
"channel": "pypi",
"dist_name": "aiohttp-3.7.4.post0-pypi_0",
"name": "aiohttp",
"platform": "pypi",
"version": "3.7.4.post0"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 1,
"build_string": "py38hecd8cb5_1",
"channel": "pkgs/main",
"dist_name": "anyio-2.2.0-py38hecd8cb5_1",
"name": "anyio",
"platform": "osx-64",
"version": "2.2.0"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 1001,
"build_string": "py38hecd8cb5_1001",
"channel": "pkgs/main",
"dist_name": "appnope-0.1.2-py38hecd8cb5_1001",
"name": "appnope",
"platform": "osx-64",
"version": "0.1.2"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 1,
"build_string": "py38h9ed2024_1",
"channel": "pkgs/main",
"dist_name": "argon2-cffi-20.1.0-py38h9ed2024_1",
"name": "argon2-cffi",
"platform": "osx-64",
"version": "20.1.0"
},
{
"base_url": "https://conda.anaconda.org/pypi",
"build_number": 0,
"build_string": "pypi_0",
"channel": "pypi",
"dist_name": "async-timeout-3.0.1-pypi_0",
"name": "async-timeout",
"platform": "pypi",
"version": "3.0.1"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "pyhd3eb1b0_0",
"channel": "pkgs/main",
"dist_name": "async_generator-1.10-pyhd3eb1b0_0",
"name": "async_generator",
"platform": "noarch",
"version": "1.10"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "pyhd3eb1b0_0",
"channel": "pkgs/main",
"dist_name": "attrs-21.2.0-pyhd3eb1b0_0",
"name": "attrs",
"platform": "noarch",
"version": "21.2.0"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "pyhd3eb1b0_0",
"channel": "pkgs/main",
"dist_name": "babel-2.9.1-pyhd3eb1b0_0",
"name": "babel",
"platform": "noarch",
"version": "2.9.1"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "pyhd3eb1b0_0",
"channel": "pkgs/main",
"dist_name": "backcall-0.2.0-pyhd3eb1b0_0",
"name": "backcall",
"platform": "noarch",
"version": "0.2.0"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 1,
"build_string": "mkl",
"channel": "pkgs/main",
"dist_name": "blas-1.0-mkl",
"name": "blas",
"platform": "osx-64",
"version": "1.0"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "pyhd3eb1b0_0",
"channel": "pkgs/main",
"dist_name": "bleach-3.3.0-pyhd3eb1b0_0",
"name": "bleach",
"platform": "noarch",
"version": "3.3.0"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "py38hecd8cb5_0",
"channel": "pkgs/main",
"dist_name": "bokeh-2.3.2-py38hecd8cb5_0",
"name": "bokeh",
"platform": "osx-64",
"version": "2.3.2"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 1003,
"build_string": "py38h9ed2024_1003",
"channel": "pkgs/main",
"dist_name": "brotlipy-0.7.0-py38h9ed2024_1003",
"name": "brotlipy",
"platform": "osx-64",
"version": "0.7.0"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "h1de35cc_0",
"channel": "pkgs/main",
"dist_name": "bzip2-1.0.8-h1de35cc_0",
"name": "bzip2",
"platform": "osx-64",
"version": "1.0.8"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "h9ed2024_0",
"channel": "pkgs/main",
"dist_name": "c-ares-1.17.1-h9ed2024_0",
"name": "c-ares",
"platform": "osx-64",
"version": "1.17.1"
},
{
"base_url": "https://conda.anaconda.org/conda-forge",
"build_number": 0,
"build_string": "h033912b_0",
"channel": "conda-forge",
"dist_name": "ca-certificates-2021.5.30-h033912b_0",
"name": "ca-certificates",
"platform": "osx-64",
"version": "2021.5.30"
},
{
"base_url": "https://conda.anaconda.org/conda-forge",
"build_number": 0,
"build_string": "py38h50d1736_0",
"channel": "conda-forge",
"dist_name": "certifi-2021.5.30-py38h50d1736_0",
"name": "certifi",
"platform": "osx-64",
"version": "2021.5.30"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "py38h2125817_0",
"channel": "pkgs/main",
"dist_name": "cffi-1.14.5-py38h2125817_0",
"name": "cffi",
"platform": "osx-64",
"version": "1.14.5"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 1003,
"build_string": "py38hecd8cb5_1003",
"channel": "pkgs/main",
"dist_name": "chardet-4.0.0-py38hecd8cb5_1003",
"name": "chardet",
"platform": "osx-64",
"version": "4.0.0"
},
{
"base_url": "https://conda.anaconda.org/pypi",
"build_number": 0,
"build_string": "pypi_0",
"channel": "pypi",
"dist_name": "click-8.0.1-pypi_0",
"name": "click",
"platform": "pypi",
"version": "8.0.1"
},
{
"base_url": "https://conda.anaconda.org/pypi",
"build_number": 0,
"build_string": "pypi_0",
"channel": "pypi",
"dist_name": "cloudpickle-1.6.0-pypi_0",
"name": "cloudpickle",
"platform": "pypi",
"version": "1.6.0"
},
{
"base_url": "https://repo.anaconda.com/pkgs/main",
"build_number": 0,
"build_string": "pyhd3eb1b0_0",
"channel": "pkgs/main",
"dist_name": "colorama-0.4.4-pyhd3eb1b0_0",
"name": "colorama",
"platform": "noarch",
"version": "0.4.4"
},
{
"base_url": "https://conda.anaconda.org/conda-f
[D 2021-06-09 14:12:59.149 ServerApp.mamba_gator] ...
[D 2021-06-09 14:12:59.150 ServerApp.mamba_gator] 200 GET /conda/environments/base?1623219178377 (::1) 770.83ms
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fcollonval
commented on May 28, 2024
Thanks @hackeye
But this is the request to list the package of the base environment. You should see a request GET /conda/environments prior to that one. That is the one listing the environments.
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jamestwebber
commented on May 28, 2024
I have a (maybe?) related issue. I just set up a new JupyterLab 3 environment and installed gator to manage conda envs (I previously used nb_conda_kernels but it doesn't look like it works anymore?).
The gator tab shows all my existing kernels but I can't start a notebook in anything but the base environment. Is there some
additional step I need to take to make them discoverable?
edit: I guess my issue is different and just required ipython kernel install --user --name=<name>. Somehow in the past that wasn't necessary for me to see new kernels.
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Related Issues (20)
- Classic notebook extension with 2.0.0 HOT 2
- Mamba not recognized on windows
- Using via JupyterHub? HOT 1
- Failed to Retrieve Packages HOT 4
- Feature: Cache Location HOT 2
- First initialization not ending HOT 3
- Mamba still running after closing jupyterlab HOT 8
- gator not displayed in jupyterlab after updating or re-installing HOT 3
- pick non-base environment as kernel for notebooks HOT 4
- Dedicated branch for the Conda Store integration HOT 1
- UX/UI proposals for Gator HOT 13
- Fix infinite scrolling in conda-store environments extension HOT 1
- Unable to cache available package list in jupyter when mamba is installed HOT 12
- Pick Mamba environment as kernel for Jupyter Notebook HOT 3
- Option to disable background loading. Performance improvement on JupyterLab startup. HOT 5
- "No web browser found: could not locate runnable browser". Pages refuse to connect to launch Jupyter notebook. HOT 2
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