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Install & use pycurl for requests

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It's generally more bugfree and performant.
We install dependencies of pycurl, including build-essential.
build-essential is used by many other dependencies
as well - particularly psutil for nbresuse.

Fixes #289
Fixes #286
This commit is contained in:
yuvipanda
2019-05-29 11:34:23 -07:00
parent 190b61d953
commit 0583a7b0ba
1 changed files with 12 additions and 5 deletions
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17
tljh/installer.py
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@@ -187,6 +187,18 @@ def ensure_jupyterhub_package(prefix):
hub environment be installed with pip prevents accidental mixing of python hub environment be installed with pip prevents accidental mixing of python
and conda packages! and conda packages!
""" """
# Install pycurl. JupyterHub prefers pycurl over SimpleHTTPClient automatically
# pycurl is generally more bugfree - see https://github.com/jupyterhub/the-littlest-jupyterhub/issues/289
# build-essential is also generally useful to everyone involved, and required for pycurl
apt.install_packages([
'libssl-dev',
'libcurl4-openssl-dev',
'build-essential'
])
conda.ensure_pip_packages(prefix, [
'pycurl==7.43.*'
])
conda.ensure_pip_packages(prefix, [ conda.ensure_pip_packages(prefix, [
'jupyterhub==1.0.0', 'jupyterhub==1.0.0',
'jupyterhub-dummyauthenticator==0.3.1', 'jupyterhub-dummyauthenticator==0.3.1',
@@ -229,11 +241,6 @@ def ensure_user_environment(user_requirements_txt_file):
with conda.download_miniconda_installer(miniconda_version, miniconda_installer_md5) as installer_path: with conda.download_miniconda_installer(miniconda_version, miniconda_installer_md5) as installer_path:
conda.install_miniconda(installer_path, USER_ENV_PREFIX) conda.install_miniconda(installer_path, USER_ENV_PREFIX)
# nbresuse needs psutil, which requires gcc
apt.install_packages([
'gcc'
])
conda.ensure_conda_packages(USER_ENV_PREFIX, [ conda.ensure_conda_packages(USER_ENV_PREFIX, [
# Conda's latest version is on conda much more so than on PyPI. # Conda's latest version is on conda much more so than on PyPI.
'conda==4.5.8' 'conda==4.5.8'