Customizing pip settings
To customize pip settings edit the global pip.conf
configuration file. Add information about a proxy server or (in air-gaped configurations) add custom
Python distribution packages to a shared storage volume so that users can directly install them in
their runtimes.
Before you begin, set the CPD_URL and TOKEN environment
variables and make sure that the cc-home storage volume exists. For instructions,
see Generating an API
authorization token and Setting up a storage volume to store customizations for common core
services.
You set the configuration that is used by pip in the
/cc-home/_global_/config/conda/pip.conf global file. These settings apply to all
Watson Studio runtimes and all users. The
/cc-home/_global_/config/conda/pip.conf file is read-only. The instructions in this
document show how to modify the file by using REST API commands.
After making the modifications, run python3 -m pip config debug to check if the
modifications in pip.conf are applied correctly.
An update to pip.conf is activated when a runtime is started. If you want to
apply the changes to the global pip.conf file, you must restart the existing
runtime.
Configuring pip to use a proxy server or an internal package index
pip to use a proxy server or an internal package index:- Retrieve any existing
pip.conffiles by running this code:curl -vk ${CPD_URL}/zen-volumes/cc-home/v1/volumes/files/%2F_global_%2Fconfig%2Fconda%2Fpip.conf -H "Authorization: ZenApiKey ${TOKEN}" -o pip.conf - To configure a proxy server, set
pip.confas follows:
To always use an internal repository server, set[global] proxy=https://<user>:<password>@<proxy name>:<port>pip.confas follows:[global] index-url=https://www.example.com/root/pypi/+simple/ trusted-host=https://www.example.com - Copy the
pip.conffile to the shared file system by running this code:curl -k -X PUT \ "${CPD_URL}/zen-volumes/cc-home/v1/volumes/files/%2F_global_%2Fconfig%2Fconda" \ -H "Authorization: ZenApiKey ${TOKEN}" \ -H "content-type: multipart/form-data" \ -F upFile=@pip.conf
Add custom Python distribution packages to the cc-home storage
volume
You can add a custom Python distribution package to the cc-home storage volume
so that users can directly install them in their runtimes.
cc-home storage volume:- Create a Python project with a
setup.pybuild script. - Generate a distribution package.
- Run this code to upload the zipped archive file to
/cc-home/_global_/config/conda:curl -k -X PUT \ "${CPD_URL}/zen-volumes/cc-home/v1/volumes/files/%2F_global_%2Fconfig%2Fconda" \ -H "Authorization: ZenApiKey ${TOKEN}" \ -H "content-type: multipart/form-data" \ -F upFile=@<package_name>