(Python) client for the Pfcon API
Project description
A Python3 client for pfcon’s web API.
Overview
This repository provides a Python3 client for pfcon service’s web API. The client provides both a Python programmatic interface and a standalone CLI tool called pfconclient.
Installation
$> pip install -U python-pfconclient
pfcon server preconditions
These preconditions are only necessary to be able to test the client against an actual instance of the pfcon server.
Install latest Docker
Currently tested platforms:
Ubuntu 18.04+ and MAC OS X 11.1+
Note: On a Linux machine make sure to add your computer user to the docker group. Consult this page https://docs.docker.com/engine/install/linux-postinstall/
Fire up the full set of pfcon services
Open a terminal and run the following commands in any working directory:
$> git clone https://github.com/FNNDSC/pfcon.git
$> cd pfcon
$> ./make.sh
You can later remove all the backend containers with:
$> cd pfcon
$> ./unmake.sh
Usage
Python programmatic interface
Instantiate the client:
from pfconclient import client
token = client.Client.get_auth_token('http://localhost:30006/api/v1/auth-token/', 'pfcon', 'pfcon1234')
cl = client.Client('http://localhost:30006/api/v1/', token)
Run fs plugin until finished using any local input directory and get the resulting files in a local output directory:
job_descriptors = {
'args': ['--saveinputmeta', '--saveoutputmeta', '--dir', 'cube/uploads'],
'args_path_flags': ['--dir'], # list of flags with arguments of type 'path' or 'unextpath'
'auid': 'cube',
'number_of_workers': 1,
'cpu_limit': 1000,
'memory_limit': 200,
'gpu_limit': 0,
'image': 'fnndsc/pl-simplefsapp',
'entrypoint': ['python3', '/usr/local/bin/simplefsapp'],
'type': 'fs'
}
job_id = 'chris-jid-1'
inputdir = '/tmp/sbin/in'
outputdir = '/tmp/sbin/out/chris-jid-1'
cl.run_job(job_id, job_descriptors, inputdir, outputdir)
Run ds plugin until finished using the local output directory of a previous plugin as its input directory and get the resulting files in a local output directory:
job_descriptors = {
'args': ['--saveinputmeta', '--saveoutputmeta', '--prefix', 'lolo'],
'auid': 'cube',
'number_of_workers': 1,
'cpu_limit': 1000,
'memory_limit': 200,
'gpu_limit': 0,
'image': 'fnndsc/pl-simpledsapp',
'entrypoint': ['python3', '/usr/local/bin/simpledsapp'],
'type': 'ds'
}
job_id = 'chris-jid-2'
inputdir = '/tmp/sbin/out/chris-jid-1'
outputdir = '/tmp/sbin/out/chris-jid-2'
cl.run_job(job_id, job_descriptors, inputdir, outputdir)
Visit the Python programmatic interface wiki page to learn more about the client’s programmatic API.
Standalone CLI client tool
Get and print auth token with the auth subcommand:
$> pfconclient http://localhost:30006/api/v1/ auth --pfcon_user pfcon --pfcon_password pfcon1234
Run fs plugin until finished using any local input directory and get the resulting files in a local output directory:
$> pfconclient http://localhost:30006/api/v1/ -a <token> run --jid chris-jid-3 --args '--saveinputmeta --saveoutputmeta --dir cube/uploads' --args_path_flags='--dir' --auid cube --number_of_workers 1 --cpu_limit 1000 --memory_limit 200 --gpu_limit 0 --image fnndsc/pl-simplefsapp --selfexec simplefsapp --selfpath /usr/local/bin --execshell python3 --type fs /tmp/sbin/in /tmp/sbin/out/chris-jid-3
Run ds plugin until finished using the local output directory of a previous plugin as its input directory and get the resulting files in a local output directory:
$> pfconclient http://localhost:30006/api/v1/ -a <token> run --jid chris-jid-4 --args '--saveinputmeta --saveoutputmeta --prefix lolo' --auid cube --number_of_workers 1 --cpu_limit 1000 --memory_limit 200 --gpu_limit 0 --image fnndsc/pl-simpledsapp --selfexec simpledsapp --selfpath /usr/local/bin --execshell python3 --type ds /tmp/sbin/out/chris-jid-3 /tmp/sbin/out/chris-jid-4
Visit the standalone CLI client wiki page to learn more about the CLI client.
Arguments of type path or unextpath
If a plugin’s args list contains flags with arguments of type path or unextpath then those flags should be included in the optional args_path_flags list. This string represents a list of flags. This way pfcon server will know that it has to substitute the local path specified by the flag by an actual path in the cloud.
Development and testing
Optionally setup a virtual environment
Install virtualenv and virtualenvwrapper
$> pip3 install -U virtualenv virtualenvwrapper
Create a directory for your virtual environments e.g.:
$> mkdir ~/Python_Envs
You might want to add the following two lines to your .bashrc file:
export WORKON_HOME=~/Python_Envs
source /usr/local/bin/virtualenvwrapper.sh
Then source your .bashrc and create a new Python3 virtual environment:
$> mkvirtualenv --python=python3 pfcon_client_env
To activate pfcon_client_env:
$> workon pfcon_client_env
To deactivate pfcon_client_env:
$> deactivate
Clone the repo
$> git clone https://github.com/FNNDSC/python-pfconclient.git
$> cd python-pfconclient
$> workon pfcon_client_env
Run automated tests
$> cd python-pfconclient
$> workon pfcon_client_env
$> pip install -U nose
$> python setup.py nosetests
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