hastexo XBlock
The hastexo XBlock is an
Open edX API that integrates realistic lab
environments into distributed computing courses. The hastexo XBlock
allows students to access an OpenStack (or Google Cloud) environment
within an edX course.
It leverages Apache Guacamole as a
browser-based connection mechanism, which includes the ability to connect to
graphical user environments (via VNC and RDP), in addition to terminals (via
SSH).
Version compatibility matrix
You must install a supported release of this XBlock to match the
Open edX and Tutor version you are
deploying. If you are installing this plugin from a branch in this Git
repository, you must select the appropriate one:
Open edX release | Tutor version | XBlock version | XBlock branch |
---|
Maple | >=13.2, <14 | >=6.0, <7.0 | stable-6.0 |
Nutmeg | >=14.0, <15 | >=7.0, <8.0 | stable-7 |
Olive | >=15.0, <16 | >=7.5, <8.0 | stable-7 |
Palm | >=16.0, <17 | >=7.5, <8.0 | stable-7 |
Quince | >=17.0, <18 | >=7.9, <8.0 | stable-7 |
Redwood | >=18.0, <19 | >=8.0 | master |
Instructions for deploying this XBlock with Tutor can be found
below, in the Deployment with Tutor
section.
Purpose
The hastexo XBlock orchestrates a virtual environment (a "stack") that runs on
a private or public cloud (currently OpenStack or
Gcloud) using its orchestration engine. It
provides a Secure Shell session directly within the courseware.
Stack creation is idempotent, so a fresh stack will be spun up only if it does
not already exist. An idle stack will auto-suspend after a configurable time
period, which is two minutes by default. The stack will resume automatically
when the student returns to the lab environment.
Since public cloud environments typically charge by the minute to run
virtual machines, the hastexo XBlock makes lab environments cost effective to
deploy. The hastexo XBlock can run a fully distributed virtual lab environment
for a course in Ceph, OpenStack, or
Open vSwitch for approximately $25 per
month on a public cloud (assuming students use the environment for 1 hour per
day).
Course authors can fully define and customize the lab environment. It is only
limited by the feature set of the cloud's deployment features.
Deployment with Tutor
Running this XBlock with Tutor (for Open edX Maple and later) requires
two steps:
-
Install the XBlock to your Tutor environment by adding it to the
OPENEDX_EXTRA_PIP_REQUIREMENTS
list in config.yml
:
OPENEDX_EXTRA_PIP_REQUIREMENTS:
- "hastexo-xblock==8.1.0"
For additional information, please refer to the official
documentation.
-
Install and enable the tutor-contrib-hastexo
plugin:
pip install git+https://github.com/hastexo/tutor-contrib-hastexo
tutor plugins enable hastexo
Add the necessary configurations to your Tutor config.yml
. Unless
you want to change the default configurations, you'll only need to
add the settings for the XBlock via HASTEXO_XBLOCK_SETTINGS
, for
example:
HASTEXO_XBLOCK_SETTINGS:
check_timeout: 120
delete_age: 0
delete_attempts: 3
delete_interval: 3600
delete_task_timeout: 900
guacamole_js_version: 1.5.4
enable_fullscreen: false
instructions_layout: above
js_timeouts:
check: 5000
idle: 3600000
keepalive: 30000
status: 15000
launch_timeout: 900
providers:
default:
type: openstack
os_auth_url: ""
os_auth_token: ""
os_username: ""
os_password: ""
os_user_id: ""
os_user_domain_id: ""
os_user_domain_name: ""
os_project_id: ""
os_project_name: ""
os_project_domain_id: ""
os_project_domain_name: ""
os_region_name: ""
provider2:
type: "gcloud"
gc_type: "service_account"
gc_project_id: ""
gc_private_key_id: ""
gc_private_key: ""
gc_client_email: ""
gc_client_id: ""
gc_auth_uri: ""
gc_token_uri: ""
gc_auth_provider_x509_cert_url: ""
gc_client_x509_cert_url: ""
gc_region_id: ""
remote_exec_timeout: 300
sleep_timeout: 10
suspend_concurrency: 4
suspend_interval: 60
suspend_task_timeout: 900
suspend_timeout: 120
terminal_color_scheme: white-black
terminal_font_name: monospace
terminal_font_size: '10'
terminal_url: /hastexo-xblock/
For more details about each setting, please refer to the XBlock
settings section below.
-
Before deploying services with Tutor, build the Docker image for
the hastexo
service, and also build a custom openedx
image:
tutor images build openedx hastexo
For more information about the plugin configuration, please refer
to the plugin
README.
-
After you have deployed Open edX with Tutor, your platform is
operational, and you have created a course in Open edX Studio, go
to Settings → Advanced Settings and add the hastexo
module to
Advanced Module List, like so:
[
"annotatable",
"openassessment",
"hastexo"
]
XBlock settings
The hastexo XBlock must be configured via XBLOCK_SETTINGS
in
lms.env.json
(or lms.yml), under the
hastexo` key. At the very
minimum, you must configure a single "default" provider with the
credentials specific to the cloud you will be using. All other
variables can be left at their defaults.
This is a brief explanation of each:
-
terminal_url
: URL to the Guacamole web app. If it is defined with a fully
qualified domain, it must include the protocol (http://
or https://
). If
not, it is assumed to be an absolute path based on the current
window.location
. (It is possible to define it with a ":"-prefixed port,
such as ":8080/hastexo-xblock/", for use in devstacks). (Default:
/hastexo-xblock/
)
-
terminal_color_scheme
: Color scheme for the terminal window. Suitable values
are described in Guacamole Documentation.
For example, foreground:rgb:ff/ff/ff;background:rgb:00/00/00
and
white-black
both represent white text on a black background.
(Default: white-black
)
-
terminal_font_name
: The name of the font to use in terminal. A matching font
must be installed on the Guacamole server. (Default: monospace
)
-
terminal_font_size
: The size of the font to use in terminal, in points.
(Default: 10
)
-
instructions_layout
: Configuration for instructions layout. It's possible
to set the position for instructions to be 'above', 'below', 'left' or 'right'
from the terminal window. (Default: above
; this is currently an
experimental feature)
-
enable_fullscreen
: An option to allow learners to launch a lab in fullsceen mode,
in a separate browser window. (Default: false
)
-
lab_usage_limit
: Allocate limited time per user for labs across the platform,
in seconds. (Default is None
, meaning there is no time limit).
-
lab_usage_limit_breach_policy
: What to do when the learner's lab
limit has been exceeded.
-
None
(the default) means just write a message to the logs.
-
warn
will display a warning to the learner that the
limit has been reached, but does allow them to keep using the labs.
-
block
blocks the learner's access to the lab.
-
launch_timeout
: How long to wait for a stack to be launched, in seconds.
(Default: 900
)
-
remote_exec_timeout
: How long to wait for a command to be executed remotely
over SSH, in seconds. (Default: 300
)
-
suspend_timeout
: How long to wait before suspending a stack, after the last
keepalive was received from the browser, in seconds. (Default: 120
)
-
suspend_interval
: The period between suspend job launches. (Default: 60
)
-
suspend_concurrency
: How many stacks to suspend on each job run. (Default:
4
)
-
suspend_task_timeout
: How long to wait for a stack to be suspended, in
seconds. (Default: 900
)
-
check_timeout
: How long to wait before a check progress task fails.
(Default: 120
)
-
delete_age
: Delete stacks that haven't been resumed in this many days. Set
to 0 to disable. (Default: 14)
-
delete_interval
: The period between reaper job launches. (Default:
3600
)
-
delete_attempts
: How many times to insist on deletion after a failure.
(Default: 3
)
-
delete_task_timeout
: How long to wait for a stack to be deleted, in
seconds. (Default: 900
)
-
js_timeouts
:
-
status
: In the browser, when launching a stack, how long to wait
between polling attempts until it is complete, in milliseconds (Default:
15000
)
-
keepalive
: In the browser, after the stack is ready, how long to wait
between keepalives to the server, in milliseconds. (Default: 30000
)
-
idle
: In the browser, how long to wait until the user is considered
idle, when no input is registered in the terminal, in milliseconds.
(Default: 3600000
)
-
check
: In the browser, after clicking "Check Progress", how long to
wait between polling attempts, in milliseconds. (Default: 5000
)
-
providers
: A dictionary of OpenStack providers that course authors can pick
from. Each entry is itself a dictionary containing provider configuration
parameters. You must configure at least one, named "default". The following
is a list of supported parameters:
type
: The provider type. Currently "openstack" or "gcloud". Defaults
to "openstack" if not provided, for backwards-compatibility.
The following apply to OpenStack only:
-
os_auth_url
: OpenStack auth URL.
-
os_auth_token
: OpenStack auth token.
-
os_username
: OpenStack user name.
-
os_password
: OpenStack password.
-
os_user_id
: OpenStack user id.
-
os_user_domain_id
: OpenStack domain id.
-
os_user_domain_name
: OpenStack domain name.
-
os_project_id
: OpenStack project id.
-
os_project_name
: OpenStack project name.
-
os_project_domain_id
: OpenStack project domain id.
-
os_project_domain_name
: OpenStack project domain name.
-
os_region_name
: OpenStack region name.
The following apply to Gcloud only. All values aside from region can be
obtained by creating a service
account
and downloading the JSON-format key:
-
gc_deploymentmanager_api_version
: The deployment service api version.
(Default: "v2")
-
gc_compute_api_version
: The compute service api version. (Default: "v1")
-
gc_type
: The type of account, currently only service_account
.
-
gc_project_id
: Gcloud project ID.
-
gc_private_key_id
: Gcloud private key ID.
-
gc_private_key
: Gcloud private key, in its entirety.
-
gc_client_email
: Gcloud client email.
-
gc_client_id
: Gcloud cliend ID.
-
gc_auth_uri
: Gcloud auth URI.
-
gc_token_uri
: Gcloud token URI.
-
gc_auth_provider_x509_cert_url
: Gcloud auth provider cert URL.
-
gc_client_x509_cert_url
: Gcloud client cert URL.
-
gc_region_id
: Gcloud region where labs will be launched.
Creating an orchestration template for your course
To use the hastexo XBlock, start by creating an orchestration template and
uploading it to the content store. The XBlock imposes some constraints on the
template (detailed below), but you are otherwise free to customize your
training environment as needed.
To ensure your template has the required configuration:
-
Configure the template to accept a "run" parameter, which will contain
information about the course run where the XBlock is instanced. This is
intended to give course authors a way to, for example, tie this to a
specific virtual image when launching VMs.
-
If your orchestration engine allows it, configure the template to generate
an SSH key pair dynamically and save the private key.
-
In addition, if using RDP or VNC you must generate a random password and
assign it to the stack user.
-
Configure the template to have at least one instance that is publicly
accessible via an IPv4 address.
-
Provide the following outputs with these exact names:
-
public_ip
: The publically accessible instance.
-
private_key
: The generated passphrase-less SSH private key.
-
password
: The generated password. (OPTIONAL)
-
reboot_on_resume
: A list of servers to be rebooted upon resume. This
is meant primarily as a workaround to resurrect servers that use nested
KVM, as the latter does not support a managed save and subsequent
restart. (OPTIONAL, DEPRECATED)
-
Upload the template to the content store and make a note of its static asset
file name.
Heat examples
A sample Heat template is provided under samples/hot/sample-template.yaml
.
Accepting the run parameter:
```
run:
type: string
description: Stack run
```
Generating an SSH key pair:
```
training_key:
type: OS::Nova::KeyPair
properties:
name: { get_param: 'OS::stack_name' }
save_private_key: true
```
Generating a random password and setting it:
```
stack_password:
type: OS::Heat::RandomString
properties:
length: 32
cloud_config:
type: OS::Heat::CloudConfig
properties:
cloud_config:
chpasswd:
list:
str_replace:
template: "user:{password}"
params:
"{password}": { get_resource: stack_password }
```
Defining the outputs:
```
outputs:
public_ip:
description: Floating IP address of deploy in public network
value: { get_attr: [ deploy_floating_ip, floating_ip_address ] }
private_key:
description: Training private key
value: { get_attr: [ training_key, private_key ] }
password:
description: Stack password
value: { get_resource: stack_password }
reboot_on_resume:
description: Servers to be rebooted after resume
value:
- { get_resource: server1 }
- { get_resource: server2 }
```
Gcloud examples
A sample Gcloud template is provided under samples/gcloud/sample-template.yaml.jinja
.
The Gcloud deployment manager cannot generate an SSH key or random password
itself, so the XBlock will do it for you. There's no need to generate them or
provide outputs manually. However, you do need to make use of the ones
provided as properties:
```
resources:
- name: {{ env["deployment"] }}-server
type: compute.v1.instance
properties:
metadata:
items:
- key: user-data
value: |
#cloud-config
users:
- default
- name: training
gecos: Training User
groups: users,adm
ssh-authorized-keys:
- ssh-rsa {{ properties["public_key"] }}
lock-passwd: false
shell: /bin/false
sudo: ALL=(ALL) NOPASSWD:ALL
chpasswd:
list: |
training:{{ properties["password"] }}
runcmd:
- echo "exec /usr/bin/screen -xRR" >> /home/training/.profile
- echo {{ properties["private_key"] }} | base64 -d > /home/training/.ssh/id_rsa
```
Note that due to the fact that the deployment manager does not accept property
values with multiple lines, the private key is base64-encoded.
As for outputs, in a Gcloud template one needs only one:
```
outputs:
- name: public_ip
value: $(ref.{{ env["deployment"] }}-server.networkInterfaces[0].accessConfigs[0].natIP)
```
Using the hastexo XBlock in a course
To create a stack for a student and display a terminal window where invoked,
you need to define the hastexo
tag in your course content. It must be
configured with the following attributes:
stack_user_name
: The name of the user that the Xblock will use to connect
to the environment, as specified in the orchestration template.
The following are optional:
-
stack_protocol
: One of ssh
, rdp
, or vnc
. This defines the
protocol that will be used to connect to the environment. The
default is ssh
.
-
stack_template_path
: The static asset path to the orchestration template,
if not specified per provider below.
-
stack_key_type
: An SSH key type for accessing the lab environment.
Options are rsa
, ed25519
and ""
(default). If a key type is chosen,
a key with the selected type will be generated for the lab environment.
If set to an empty string, the key handling should be done via the lab template.
-
launch_timeout
: How long to wait for a stack to be launched, in seconds.
If unset, the global timeout will be used.
-
suspend_timeout
: Timeout for how long to wait before suspending a stack,
after the last keepalive was received from the browser, in seconds.
Takes precedence over the globally defined timeout."
-
delete_age
: Delete stacks that haven't been resumed in this many seconds.
Overrides the globally defined setting. The global setting currently only
supports days but will begin to support suffixes d
, h
, m
, s
in future
releases. Using this attribute will allow setting the delete_age
value per
instance and configure it to have a shorter value.
-
read_only
: Display a lab terminal in a read-only
mode. If set to True
,
a lab stack will be created or resumed as usual, the student can see the lab
terminal but is not able to interact with it. Default is False
.
-
hidden
: An option to hide the lab itself in the browser while spinning up
the lab environment in the background. Default is False
.
-
enable_fullscreen
: An option to allow learners to launch a lab in fullsceen mode,
in a separate browser window. If used, overrides the globally defined setting.
Options are "true", "false" and "inherit". Default is "inherit" (to use global value).
-
progress_check_label
: Set a label for the progress check button.
For example: Submit Answer
or Check Progress
(Default).
-
show_feedback
: On progress check, show feedback on how many tasks out of total
are completed. Default is True
.
-
show_hints_on_error
: On progress check failure, display the tests' standard
error streams as hints.
When show_feedback
is set to False
, hints will never be displayed and having
this set to True
will have no effect. Default is True
.
-
progress_check_result_heading
: Message to display on progress check result window.
This could be set to "Answer Submitted" for example, when choosing to not display
hints and feedback. Default is "Progress check result".
You can also use the following nested XML options:
-
providers
: A list of references to providers configured in the platform.
Each name
attribute must match one of the providers in the XBlock
configuration. capacity
specifies how many environments should be launched
in that provider at maximum (where "-1" means keep launching environments
until encountering a launch failure, and "0" disables the provider).
template
is the content store path to the orchestration template (if not
given, stack_template_path
will be used). environment
specifies a
content store path to a either a Heat environment file, or, if using Gcloud,
a YAML list of properties. If no providers are specified, the platform
default will be used.
-
ports
: A list of ports the user can manually choose to connect to. This is
intended as a means of providing a way to connect directly to multiple VMs in
a lab environment, via port forwarding or proxying at the VM with the public
IP address. Each name
attribute will be visible to the user. The number
attribute specifies the corresponding port.
-
tests
: A list of test scripts. The contents of each element will be run
verbatim a a script in the user's lab environment, when they click the "Check
Progress" button. As such, each script should define an interpreter via the
"shebang" convention. If any scripts fail with a retval greater than 0, the
learner gets a partial score for this instance of the XBlock. In this case,
the stderr
of failed scripts will be displayed to the learner as a list of
hints on how to proceed.
For example, in XML:
<vertical url_name="lab_introduction">
<hastexo xmlns:option="http://code.edx.org/xblock/option"
url_name="lab_introduction"
stack_user_name="training"
stack_protocol="rdp">
<option:providers>
- name: provider1
capacity: 20
template: hot_lab1_template.yaml
environment: hot_lab1_env.yaml
- name: provider2
capacity: 30
template: gcloud_lab1_template.yaml
environment: gcloud_lab1_config.yaml
</option:providers>
<option:ports>
- name: server1
number: 3389
- name: server2
number: 3390
</option:ports>
<option:tests><![CDATA[
- |
#!/bin/bash
# Check for login on vm1
logins=$(ssh vm1 last root | grep root | wc -l)
if [ $logins -lt 1 ]; then
# Output a hint to stderr
echo "You haven't logged in to vm1, yet." >&2
exit 1
fi
exit 0
- |
#!/bin/bash
# Check for file
file=foobar
if [ ! -e ${file} ]; then
# Output a hint to stderr
echo "File \"${file}\" doesn't exist." >&2
exit 1
fi
exit 0
]]></option:tests>
</hastexo>
</vertical>
Important: Do this only once per section. Defining it more than once
per section is not supported.
Note on tests: as seen in the above example, it is recommended to wrap them all
in <![CDATA[..]]>
tags. This avoids XML parsing errors when special
characters are encountered, such as the >&2
used to output to stderr in bash.
In order to add the hastexo Xblock through Studio, open the unit where you want
it to go. Add a new component, select Advanced
, then select the Lab
component. This adds the XBlock. Edit the Settings as explained above.
Using the hastexo XBlock in a content library
This XBlock is usable in content libraries.
It supports adding lab instructions as child blocks, so that when the block is
randomized, the instructions are bundled together with it.
To add the XBlock to the library via Studio, make sure it is configured as one
of the ADVANCED_PROBLEM_TYPES
in cms.env.json
, then select it as such when
adding content to your library. (Note: as of Open edX Ironwood, the ability to
do so requires running a patched version
of edx-platform
.)
The following child block types are currently supported:
* html
* video
* [pdf](https://github.com/MarCnu/pdfXBlock)
If using OLX, html blocks can be defined separately in the html
subdirectory
as usual, with the child element referring to it by URL name:
<vertical url_name="lab_introduction">
<hastexo ...>
<html url_name="lab_instructions">
</hastexo>
</vertical>
Child blocks will always be rendered above the terminal.
Using the hastexo XBlock while masquerading as a specific learner
Instructors can use the hastexo XBlock lab environments when masquerading as a specific learner by using the "View this course as:" option in the LMS staff header.
The learner will not know when an instructor is using their lab, so we advise to be mindful of the changes you make while the learner is active at the same lab.
This feature should be considered experimental, and is subject to future change or removal.
Student experience
When students navigate to a unit with a hastexo XBlock in it, a new Heat
stack will be created (or resumed) for them. The Heat stack will be as defined
in the uploaded Heat template. It is unique per student and per course run. If
the same tag appears on a different course, or different run of the same
course, the student will get a different stack.
The stack will suspend if the student does not navigate to the hastexo
unit
in that section within the default two minutes (configurable via settings, as
explained above). When the student gets to the hastexo
unit, the stack will
be resumed and they will be connected automatically and securely. They will not
need a username, password, or host prompts to their personal lab environment.
This happens transparently in the browser.
The student can work at their own pace in their environment. However, when
a student closes the browser where the hastexo
unit is displayed, or if they
put their computer to sleep, a countdown is started. If the student does not
reopen the environment within two minutes their stack will be suspended. When
a student comes back to the lab environment to finish the exercise, their
stack is resumed automatically. They are connected to the same training
environment they were working with before, in the same state they left it in.
(The process of suspension works just like in a home computer.)
Copy & paste
Within the text terminal, learners can use copy and paste by marking
up text with the left mouse button, and then using right-click or
middle-click to paste.
Within the graphical (RDP) terminal, so long as the terminal has focus
(normally meaning that the learner has left-clicked into it once),
learners can use any copy and paste facility that the desktop
provides. This includes the Ctrl‑C
/Ctrl‑V
key combinations, and
middle mouse clicks.
Copy & paste to and from the lab environment (i.e. from the terminal
to the learner's browser, or vice versa) is also possible, though some
considerations apply.
Pasting into the lab environment requires two transitions, because
we are dealing with two clipboards (one for the browser and one for
the lab environment). Thus, the learner must
- Copy something into their clipboard on their client.
- Left-click into the terminal.
- Hit
Ctrl‑V
. (This is the first transition, which populates the
terminal's clipboard.) - Right-click, middle-click, or type
Ctrl‑Shift‑V
in the
terminal. (This is the second transition, which pastes from the
terminal's clipboard.)
Copying out from the lab environment is more direct, though at this
time it works only on Mozilla Firefox (support in other browsers may
follow). To copy from their terminal into their local clipboard, the
learner must
- Mark up some text in their terminal.
- Switch to another application window on their client.
- Hit
Ctrl‑V
.
Django admin page
To facilitate management of stack states without direct access to the database,
a Django admin page is provided as a frontend for the hastexo_stack
table.
To access it, go to the following as a superuser:
https://lms.example.com/admin/hastexo/stack
The following features are currently implemented:
-
Searching: Search for a stack's name, course ID, status, and provider.
-
Filtering: On the filter tab to the right, it is possible to select from a
preset list of three filters: course_id
, status
, and provider
. The
preset values are generated on the fly from existing records.
-
On-list editing: modify multiple stack's states or providers directly from
the main list.
-
Marking stacks as deleted in bulk: to quickly change multiple stack states to
DELETE_COMPLETE
, and to reset their providers to "", select multiple stacks
and use the "Mark selected stacks as DELETE_COMPLETE" action from the action
dropdown.
-
Displaying owner's email: when opening a stack's edit form (by clicking on
its name), the owner's email is displayed.
When changing providers, only the ones enabled by the author for the course in
question are displayed. If none are present, then the list is expanded with
the full set of providers configured in the platform.
The list of states is similarly limited to a known set of possibilities, but no
further validation is made.
Furthermore, the following are not currently possible:
Note that making changes to the hastexo_stack
table does not affect the
stacks themselves. In other words, deleting an existing stack here will merely
delete its database record: not only will the stack itself continue to exist,
but the XBlock will cease to handle it automatically (such as suspending or
deleting it) until such time as the learner relaunches it. The admin page is
only offered as a convenient way to manually synchronize the database with
actual stack states in case of failure. It should not be necessary to do so in
day-to-day usage of the XBlock.
Running tests
The testing framework is built on
tox. After installing tox, you can
simply run tox
from your Git checkout of this repository.
In addition, you can run tox -r
to throw away and rebuild the
testing virtualenv, or tox -e flake8
to run only PEP-8 checks, as
opposed to the full test suite.
License
This XBlock is licensed under the Affero GPL; see LICENSE
for details.