Skip to main content

(Python) client for the ChRIS API

Project description

A python client for the ChRIS API.

https://travis-ci.org/FNNDSC/python-chrisclient.svg?branch=master

Quick Overview

This repository contains various python scripts and modules that provide a rich client experience for interacting with a CUBE backend instance. Interaction is either via the command line interface (CLI) or through a Python programmatic interface using relevant modules.

Overview

At time of writing (early 2022), three scripts/modules are in production:

  • a general CUBE client

  • a more specific plugin search utility

  • a more specific plugin run schedule utility

Installation

Use the PyPI, Luke!

pip install -U python-chrisclient

ChRIS server preconditions

These preconditions are only necessary to be able to test the client against an actual instance of a ChRIS server both during development and for the automated tests.

Install latest just command runner.

Fire up the full set of ChRIS services:

Open a terminal and run the following commands in any working directory:

$> git clone https://github.com/FNNDSC/ChRIS_ultron_backEnd.git
$> cd ChRIS_ultron_backEnd
$> just

Create a test feed and two pipelines:

Run the following shell script on the directory of this README file. NOTE: The script depends on the popular curl and jq command line tools.

$> ./pre_test.sh

Run the automated tests:

Optionally create a virtual environment and activate it and then run the automated tests.

$> pip install -e ".[dev]"
$> pytest

Tear down the full set of ChRIS services:

You can later remove all the backend containers and release storage volumes with:

$> cd ChRIS_ultron_backEnd
$> just nuke

General CUBE client usage

Python programmatic interface

Instantiate the client:

from chrisclient import client

cl = client.Client('http://localhost:8000/api/v1/', 'cube', 'cube1234')

Alternatively get a valid token for the user and instantiate the client:

token = client.Client.get_auth_token('http://localhost:8000/api/v1/auth-token/', 'cube', 'cube1234' )
cl = client.Client('http://localhost:8000/api/v1/', token=token)

Upload and create a new plugin (only works for ChRIS admins):

cl_admin = client.Client('http://localhost:8000/api/v1/', 'chris', 'chris1234')
response = cl_admin.admin_upload_plugin('host,moc', '~/simpledsapp.json')

Get plugins given search parameters:

search_params = {'name': 'pl-dircopy'}
response = cl.get_plugins(search_params)

Get a plugin by id:

plugin_id = 1
response = cl.get_plugin_by_id(plugin_id)

Get a plugin’s parameters:

plugin_id = 1
response = cl.get_plugin_parameters(plugin_id, {'limit': 50, 'offset':0})

These retrieving operations are supported for all other high level resources such as feeds, pipelines, plugin instances and workflows.

Get a pipeline’s default parameters and nodes data structure and then run a workflow from the pipeline:

pipeline_id = 2
# attempt to fetch all parameters in a single request by setting a very high limit
response = cl.get_pipeline_default_parameters(pipeline_id, {'limit': 100, 'offset':0})
nodes = cl.compute_workflow_nodes_info(response['data'])
response = cl.create_workflow(pipeline_id, {'previous_plugin_inst_id': 1, 'nodes_info': json.dumps(nodes)})

Please visit the wiki for more information about the client’s API and examples.

Standalone CLI client tool

List plugins:

chrisclient -u cube -p cube1234 http://localhost:8000/api/v1/ list plugin offset==0 limit==2 --verbose

List pipelines:

chrisclient -u cube -p cube1234 http://localhost:8000/api/v1/ list pipeline --verbose

List plugin instances:

chrisclient -u cube -p cube1234 http://localhost:8000/api/v1/ list plugininstance offset==0 limit==1

Upload and create plugin (only works for ChRIS admins):

chrisclient -u chris -p chris1234 http://localhost:8000/api/v1/ add plugin --computenames host,moc --fname ~/simpledsapp.json

Create plugin instance (run plugin):

chrisclient -u cube -p cube1234 http://localhost:8000/api/v1/ add plugininstance
 --pluginid 3 --instancedata '{"previous_id": 1, "dir": "home/cube/uploads"}'

Create pipeline:

chrisclient -u cube -p cube1234 http://localhost:8000/api/v1/ add pipeline --pipelinedata '{"name": "Pipeline1", "plugin_tree": "[{\"plugin_id\": 2, \"previous_index\": null}, {\"plugin_id\": 2, \"previous_index\": 0}]"}'

Create workflow (run pipeline):

chrisclient -u cube -p cube1234 http://localhost:8000/api/v1/ add workflow --pipelineid 2 --workflowdata '{"previous_plugin_inst_id": 1, "nodes_info": "[{\"piping_id\": 3, \"compute_resource_name\": \"host\"}, {\"piping_id\": 4, \"compute_resource_name\": \"host\"}, {\"piping_id\": 5, \"compute_resource_name\": \"host\"}]"}'

Run

Plugins can be run/scheduled on a CUBE instance using the chrispl-run script. The CLI parameters are broadly similar to chrispl-search with some semantic changes more pertinent to the run call – the for search is fixed to the plugin id and the search --pluginSpec becomes the --using CLI.

Run Examples

Run an FS plugin, pl-mri10yr06mo01da_normal

chrispl-run --plugin name=pl-mri10yr06mo01da_normal \
            --onCUBE '{
                "protocol":     "http",
                "port":         "8000",
                "address":      "%HOSTIP",
                "user":         "chris",
                "password":     "chris1234"}'

This plugin does not require any specific CLI args when run in the default state. Once posted to CUBE, a string is returned to the shell:

(name=pl-mri10yr06mo01da_normal) id 14

Indicating that the plugin instance ID of the plugin in CUBE is 14 (for example).

For convenience, let’s set:

CUBE='{
    "protocol":     "http",
    "port":         "8000",
    "address":      "%HOSTIP",
    "user":         "chris",
    "password":     "chris1234"
}'

This return construct lends itself easily to scripting:

ROOTNODE=$(./chrispl-run --plugin name=pl-mri10yr06mo01da_normal --onCUBE "$CUBE" | awk '{print $3}')

or with some formatting:

ROOTNODE=$(
    chrispl-run --plugin name=pl-mri10yr06mo01da_normal     \
                --onCUBE="$CUBE"                            |
                     awk '{print $3}'
)

Run a DS plugin, pl-freesurfer_pp, that builds on the previous node

In this manner, a workflow can be constructed. First construct the arguments for the next plugin:

ARGS="                              \
--ageSpec=10-06-01;                 \
--copySpec=sag,cor,tra,stats,3D;    \
--previous_id=$ROOTNODE             \
"

and now schedule the run:

chrispl-run --plugin name="pl-freesurfer_pp"    \
            --args="$ARGS"                      \
            --onCUBE="$CUBE"

which will return:

(name=pl-freesurfer_pp)        id 19

As before, this can be captured and used for subsequent chaining:

FSNODE=$(
    chrispl-run --plugin name=pl-freesurfer_pp  \
                --args="$ARGS"                  \
                --onCUBE="$CUBE"                |
                     awk '{print $3}'
)

Additional Reading

Consult the ChRIS_docs workflow directory for examples of workflows built using these tools.

-30-

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python_chrisclient-2.14.0.tar.gz (33.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

python_chrisclient-2.14.0-py3-none-any.whl (32.9 kB view details)

Uploaded Python 3

File details

Details for the file python_chrisclient-2.14.0.tar.gz.

File metadata

  • Download URL: python_chrisclient-2.14.0.tar.gz
  • Upload date:
  • Size: 33.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for python_chrisclient-2.14.0.tar.gz
Algorithm Hash digest
SHA256 6a4c32bbe01397dc20359189a5820948c8124b2651409565990a182e48f78246
MD5 8c1dfffbec91725b45a148ad1709f875
BLAKE2b-256 5d5442b88dd22127f8ef81f20d06191d9f66fa87ca2e938afc71e04c60c4387b

See more details on using hashes here.

File details

Details for the file python_chrisclient-2.14.0-py3-none-any.whl.

File metadata

File hashes

Hashes for python_chrisclient-2.14.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c7ac7c4c71e84a075be703919bbef333f96820e31c2f2a489e5b41fc98c75b55
MD5 2cf4d0e54593cab836976053bc91b421
BLAKE2b-256 93c0ad654ef637168c2989cc4c1ed87dc0f1fa63c401c31d67007176ba02e106

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page