oscar-python 1.2.1

OSCAR API for python

Python OSCAR client

This package provides a client to interact with OSCAR (https://oscar.grycap.net) clusters and services. It is available on Pypi with the name oscar-python.

Contents

• Python OSCAR client
  • Contents
  • Client
    • Initialize a client with basic authentication
    • Initialize a client OIDC authentication
  • Sample usage
  • Client methods
    • Cluster methods
    • Service methods
    • Logs methods
    • Storage usage

Client

Initialize a client with basic authentication

  options_basic_auth = {'cluster_id':'cluster-id',
                'endpoint':'https://cluster-endpoint',
                'user':'username',
                'password':'password',
                'ssl':'True'}

  client = Client(options = options_basic_auth)

Initialize a client OIDC authentication

If you want to use OIDC tokens to authenticate with EGI Check-In, you can use the OIDC Agent to create an account configuration for the EGI issuer (https://aai.egi.eu/auth/realms/egi/) and then initialize the client specifying the shortname of your account like follows.

  options_oidc_auth = {'cluster_id':'cluster-id',
                'endpoint':'https://cluster-endpoint',
                'shortname':'oidc-agent-shortname',
                'ssl':'True'}
                
  client = Client(options = options_oidc_auth)

If you already have a valid token, you can use the parameter oidc_token instead.

  options_oidc_auth = {'cluster_id':'cluster-id',
                'endpoint':'https://cluster-endpoint',
                'oidc_token':'token',
                'ssl':'True'}
                
  client = Client(options = options_oidc_auth)

An example of using a generated token is if you want to use EGI Notebooks. Since you can't use oidc-agent on the Notebook, you can make use of the generated token that EGI provides on path /var/run/secrets/egi.eu/access_token.

Sample usage

• Sample code that creates a client and gets information about the cluster

from oscar_python.client import Client

options_basic_auth = {'cluster_id':'cluster-id',
              'endpoint':'https://cluster-endpoint',
              'user':'username',
              'password':'password',
              'ssl':'True'}

client = Client(options = options)

# get the cluster information
try:
  info = client.get_cluster_info()
  print(info.text)
except Exception as err:
  print("Failed with: ", err)

• Sample code to create a simple service with the cowsay example and make a synchronous invocation.

from oscar_python.client import Client

options_basic_auth = {'cluster_id':'cluster-id',
              'endpoint':'https://cluster-endpoint',
              'user':'username',
              'password':'password',
              'ssl':'True'}

client = Client(options = options)

try:
  client.create_service("/absolute_path/cowsay.yaml")
  response = client.run_service("cowsay", input = '{"message": "Hi there"}')   
  if response.status_code == 200:
      print(response.text)
except Exception as err:
  print("Failed with: ", err)

Client methods

Cluster methods

get_cluster_info

# get the cluster information
info = client.get_cluster_info() # returns an HTTP response or an HTTPError

get_cluster_config

# get the cluster config
config = client.get_cluster_config() # returns an http response or an HTTPError

Service methods

get_service

# get the definition of a service 
service = client.get_service("service_name") # returns an http response or an HTTPError

list_services

# get a list of all the services deployed 
services = client.list_services() # returns an http response or an HTTPError

Note : Both path_to_fdl and the script path inside the fdl must be absolute.

create_service

# create a service 
err = client.create_service("path_to_fdl" | "JSON_definition") # returns nothing if the service is created or an error if something goes wrong

update_service

# update a service 
err = client.update_service("service_name","path_to_fdl" | "JSON_definition") # returns nothing if the service is created or an error if something goes wrong

remove_service

# remove a service 
response = client.remove_service("service_name") # returns an http response

run_service

input, output and timeout are optional parameters.

# make a synchronous execution 
response = client.run_service("service_name", input="input", output="out.png", timeout=100) # returns an http response

Logs methods

get_job_logs

# get logs of a job
logs = client.get_job_logs("service_name", "job_id") # returns an http response

list_jobs

# get a list of jobs in a service
log_list = client.list_jobs("service_name") # returns an http response

remove_job

# remove a job of a service
response = client.remove_job("service_name", "job_id") # returns an http response

remove_all_jobs

# remove all jobs in a service
response = client.remove_all_jobs("service_name") # returns an http response

Storage usage

You can create a storage object to operate over the different storage providers defined on a service with the method create_storage_client as follows:

storage_service = client.create_storage_client("service_name") # returns a storage object

Note : The storage_provider parameter on the storage methods follows the format: ["storage_provider_type"].["storage_provider_name"] where storage_provider_type is one of the suported storage providers (minIO, S3, Onedata or webdav) and storage_provider_name is the identifier (ex: minio.default)

list_files_from_path

This method returns a JSON with the info except for OneData, which returns an HTTP response.

# get a list of the files of one of the service storage provider 
files = storage_service.list_files_from_path("storage_provider") # returns json

upload_file

# upload a file from a local path to a remote path 
response = storage_service.upload_file("storage_provider", "local_path", "remote_path")

download_file

# download a file from a remote path to a local path 
response = storage_service.download_file("storage_provider", "local_path", "remote_path")