3.9. Shell#
Warning
Using the server shell is not recommended. The shell is outdated and superseded by other tools. The shell offers a server admin the ability to manage the server entities, but does not offer any validation of the input. Therefore, it is easy to break the server by using the shell.
Instead, we recommend using the user interface, the Python client or the API.
The commands in this page have not been updated to match version 4.0.
The shell allows a server admin to manage all server entities. To start
the shell, use v6 server shell [options]
.
In the next sections the different database models that are available
are explained. You can retrieve any record and edit any property of it.
Every db.
object has a help()
method which prints some info on
what data is stored in it (e.g. db.Organization.help()
).
Note
Don’t forget to call .save()
once you are done editing an object.
3.9.1. Organizations#
Note
Organizations have a public key that is used for end-to-end encryption. This key is automatically created and/or uploaded by the node the first time it runs.
To store an organization you can use the db.Organization
model:
# create new organiztion
organization = db.Organization(
name="IKNL",
domain="iknl.nl",
address1="Zernikestraat 29",
address2="Eindhoven",
zipcode="5612HZ",
country="Netherlands"
)
# store organization in the database
organization.save()
Retrieving organizations from the database:
# get all organizations in the database
organizations = db.Organization.get()
# get organization by its unique id
organization = db.Organization.get(1)
# get organization by its name
organization = db.Organization.get_by_name("IKNL")
A lot of entities (e.g. users) at the server are connected to an organization. E.g. you can see which (computation) tasks are issued by the organization or see which collaborations it is participating in.
# retrieve organization from which we want to know more
organization = db.Organization.get_by_name("IKNL")
# get all collaborations in which the organization participates
collaborations = organization.collaborations
# get all users from the organization
users = organization.users
# get all created tasks (from all users)
tasks = organization.created_tasks
# get the runs of all these tasks
runs = organization.runs
# get all nodes of this organization (for each collaboration
# an organization participates in, it needs a node)
nodes = organization.nodes
3.9.2. Roles and Rules#
A user can have multiple roles and rules assigned to them. These are used to determine if the user has permission to view, edit, create or delete certain resources using the API. A role is a collection of rules.
# display all available rules
db.Rule.get()
# display rule 1
db.Rule.get(1)
# display all available roles
db.Role.get()
# display role 3
db.Role.get(3)
# show all rules that belong to role 3
db.Role.get(3).rules
# retrieve a certain rule from the DB
rule = db.Rule.get_by_("node", Scope, Operation)
# create a new role
role = db.Role(name="role-name", rules=[rule])
role.save()
# or assign the rule directly to the user
user = db.User.get_by_username("some-existing-username")
user.rules.append(rule)
user.save()
3.9.3. Users#
Users belong to an organization. So if you have not created any
Organizations yet, then you should do that first. To create a user
you can use the db.User
model:
# first obtain the organization to which the new user belongs
org = db.Organization.get_by_name("IKNL")
# obtain role 3 to assign to the new user
role_3 = db.Role.get(3)
# create the new users, see section Roles and Rules on how to
# deal with permissions
new_user = db.User(
username="root",
password="super-secret",
firstname="John",
lastname="Doe",
roles=[role_3],
rules=[],
organization=org
)
# store the user in the database
new_user.save()
You can retrieve users in the following ways:
# get all users
db.User.get()
# get user 1
db.User.get(1)
# get user by username
db.User.get_by_username("root")
# get all users from the organization IKNL
db.Organization.get_by_name("IKNL").users
To modify a user, simply adjust the properties and save the object.
user = db.User.get_by_username("some-existing-username")
# update the firstname
user.firstname = "Brandnew"
# update the password; it is automatically hashed.
user.password = "something-new"
# store the updated user in the database
user.save()
3.9.4. Collaborations#
A collaboration consists of one or more organizations. To create a
collaboration you need at least one but preferably multiple
Organizations in your database. To create a
collaboration you can use the db.Collaboration
model:
# create a second organization to collaborate with
other_organization = db.Organization(
name="IKNL",
domain="iknl.nl",
address1="Zernikestraat 29",
address2="Eindhoven",
zipcode="5612HZ",
country="Netherlands"
)
other_organization.save()
# get organization we have created earlier
iknl = db.Organization.get_by_name("IKNL")
# create the collaboration
collaboration = db.Collaboration(
name="collaboration-name",
encrypted=False,
organizations=[iknl, other_organization]
)
# store the collaboration in the database
collaboration.save()
Tasks, nodes and organizations are directly related to collaborations. We can obtain these by:
# obtain a collaboration which we like to inspect
collaboration = db.Collaboration.get(1)
# get all nodes
collaboration.nodes
# get all tasks issued for this collaboration
collaboration.tasks
# get all organizations
collaboration.organizations
Warning
Setting the encryption to False at the server does not mean that the nodes will send encrypted results. This is only the case if the nodes also agree on this setting. If they don’t, you will receive an error message.
3.9.5. Nodes#
Before nodes can login, they need to exist in the server’s database. A new node can be created as follows:
# we'll use a uuid as the API-key, but you can use anything as
# API key
from uuid import uuid4
# nodes always belong to an organization *and* a collaboration,
# this combination needs to be unique!
iknl = db.Organization.get_by_name("IKNL")
collab = iknl.collaborations[0]
# generate and save
api_key = str(uuid4())
print(api_key)
node = db.Node(
name = f"IKNL Node - Collaboration {collab.name}",
organization = iknl,
collaboration = collab,
api_key = api_key
)
# save the new node to the database
node.save()
Note
API keys are hashed before stored in the database. Therefore you need to save the API key immediately. If you lose it, you can reset the API key later via the shell, API, client or UI.
3.9.6. Tasks and Results#
Warning
Tasks(/results) created from the shell are not picked up by nodes that are already running. The signal to notify them of a new task cannot be emitted this way. We therefore recommend sending tasks via the Python client.
A task is intended for one or more organizations. For each organization the task is intended for, a corresponding (initially empty) run should be created. Each task can have multiple runs, for example a run from each organization.
# obtain organization from which this task is posted
iknl = db.Organization.get_by_name("IKNL")
# obtain collaboration for which we want to create a task
collaboration = db.Collaboration.get(1)
# obtain the next job_id. Tasks sharing the same job_id
# can share the temporary volumes at the nodes. Usually this
# job_id is assigned through the API (as the user is not allowed
# to do so). All tasks from a master-container share the
# same job_id
job_id = db.Task.next_job_id()
task = db.Task(
name="some-name",
description="some human readable description",
image="docker-registry.org/image-name",
collaboration=collaboration,
job_id=job_id,
database="default",
init_org=iknl,
)
task.save()
# input the algorithm container (docker-registry.org/image-name)
# expects
input_ = {
}
import datetime
# now create a Run model for each organization within the
# collaboration. This could also be a subset
for org in collaboration.organizations:
res = db.Run(
input=input_,
organization=org,
task=task,
assigned_at=datetime.datetime.now()
)
res.save()
Tasks can have a child/parent relationship. Note that the job_id
is
for parent and child tasks the same.
# get a task to which we want to create some
# child tasks
parent_task = db.Task.get(1)
child_task = db.Task(
name="some-name",
description="some human readable description",
image="docker-registry.org/image-name",
collaboration=collaboration,
job_id=parent_task.job_id,
database="default",
init_org=iknl,
parent=parent_task
)
child_task.save()
Note
Tasks that share a job_id
have access to the same temporary folder at
the node. This allows for multi-stage algorithms.
Obtaining algorithm Runs:
# obtain all Runs
db.Run.get()
# obtain only completed runs
[run for run in db.Run.get() if run.complete]
# obtain run by its unique id
db.Run.get(1)