Open Job Description is a flexible open specification for defining render jobs which are portable between studios and render solutions. This package provides a library that can be used to build a runtime that is able to run Jobs in a Session as defined by Open Job Description.
For more information about Open Job Description and our goals with it, please see the Open Job Description Wiki on GitHub.
This library requires:
- Python 3.9 or higher;
- Linux, MacOS, or Windows operating system;
- On Linux/MacOS:
sudo
- On Windows:
- CPython implementation of Python
This package's version follows Semantic Versioning 2.0, but is still considered to be in its initial development, thus backwards incompatible versions are denoted by minor version bumps. To help illustrate how versions will increment during this initial development stage, they are described below:
- The MAJOR version is currently 0, indicating initial development.
- The MINOR version is currently incremented when backwards incompatible changes are introduced to the public API.
- The PATCH version is currently incremented when bug fixes or backwards compatible changes are introduced to the public API.
We encourage all contributions to this package. Whether it's a bug report, new feature, correction, or additional documentation, we greatly value feedback and contributions from our community.
Please see CONTRIBUTING.md for our contributing guidelines.
from openjd.model import (
StepParameterSpaceIterator,
create_job,
decode_job_template,
preprocess_job_parameters
)
from openjd.sessions import (
LOG,
ActionState,
ActionStatus,
Session
)
import logging
import os
from pathlib import Path
import sys
from threading import Event
# Setup
# ========
job_template_path = Path("/absolute/path/to/job")
job_template = decode_job_template(
template={
"name": "DemoJob",
"specificationVersion": "jobtemplate-2023-09",
"parameterDefinitions": [
{ "name": "Foo", "type": "INT" }
],
"jobEnvironments": [
{
"name": "DemoJobEnv",
"script": {
"actions": {
"onEnter": { "command": "python", "args": [ "-c", "print('Entering DemoJobEnv')" ] },
"onExit": { "command": "python", "args": [ "-c", "print('Exiting DemoJobEnv')" ] }
}
}
}
],
"steps": [
{
"name": "DemoStep",
"stepEnvironments": [
{
"name": "DemoStepEnv",
"script": {
"actions": {
"onEnter": { "command": "python", "args": [ "-c", "print('Entering DemoStepEnv')" ] },
"onExit": { "command": "python", "args": [ "-c", "print('Exiting DemoStepEnv')" ] }
}
}
}
],
"parameterSpace": {
"taskParameterDefinitions": [
{ "name": "Bar", "type": "INT", "range": "1-10" }
]
},
"script": {
"actions": {
"onRun": { "command": "python", "args": [ "-c", "print(r'Foo={{Param.Foo}} Bar={{Task.Param.Bar}}')" ] }
}
}
}
]
}
)
job_parameters = preprocess_job_parameters(
job_template=job_template,
job_parameter_values={
"Foo": "12"
},
job_template_dir=job_template_path,
current_working_dir=Path(os.getcwd())
)
job = create_job(
job_template=job_template,
job_parameter_values=job_parameters
)
# stdout/stderr from the Session's running processes are sent to LOG
LOG.addHandler(logging.StreamHandler(stream=sys.stdout))
# Run the Session
# ======
action_event = Event()
last_status: ActionStatus = None
def action_complete_callback(session_id: str, status: ActionStatus) -> None:
# This function will be called by the Session when one of the processes
# that was started has experienced a status change.
# e.g. Completing as FAILED/SUCCEEDED, or an update to a progress message.
global last_status
last_status = status
if status.state != ActionState.RUNNING:
action_event.set()
# Run all tasks in the DemoStep within a Session
with Session(
session_id="demo",
job_parameter_values=job_parameters,
callback=action_complete_callback
) as session:
unwind_session: bool = False
environment_ids = list[str]()
step = job.steps[0]
try:
def run_environment(env):
global status
action_event.clear()
id = session.enter_environment(environment=env)
environment_ids.append(id)
# enter_environment is non-blocking, wait for the process to complete
action_event.wait()
if last_status.state in (ActionState.CANCELED, ActionState.FAILED):
raise RuntimeError("Abnormal exit")
# Enter each job environment
for env in job.jobEnvironments:
run_environment(env)
# Enter each step environment
for env in step.stepEnvironments:
run_environment(env)
# Run each task in the step
for task_parameters in StepParameterSpaceIterator(space=step.parameterSpace):
action_event.clear()
session.run_task(
step_script=step.script,
task_parameter_values=task_parameters
)
# run_task is non-blocking, wait for the process to complete
action_event.wait()
if last_status.state in (ActionState.CANCELED, ActionState.FAILED):
raise RuntimeError("Abnormal exit")
except RuntimeError:
pass
finally:
# Exit all environments in the reverse order that they were entered.
environment_ids.reverse()
for _id in environment_ids:
session.exit_environment(identifier=_id)
action_event.clear()
action_event.wait()This library supports running its Session Actions as a different operating system
user than the user that is running the library. In the following, we refer to the
operating system user that is running this library as the host user and the
user that is being impersonated to run actions as the actions user.
This feature exists to:
- Provide a means to securely isolate the environment and files of the
hostuser from the environment in which the Session Actions are run. Configure your filesystem permissions, and user groups for thehostandactionsusers such that theactionsuser cannot read, write, or execute any of thehostuser files that it should not be able to. - Provide a way for you to permit access, on a per-Session basis, to specific local and shared filesystem assets to the running Actions running in the Session.
To run an impersonated Session on POSIX Systems modify the "Running a Session" example as follows:
...
from openjd.sessions import PosixSessionUser
...
user = PosixSessionUser($USERNAME$, password=$PASSWORD_OF_USERNAME$)
...
with Session(
session_id="demo",
job_parameter_values=job_parameters,
callback=action_complete_callback,
user=user
) as session:
...
You must ensure that the host user is able to run commands as the actions user
with passwordless sudo by, for example, adding a rule like follows to your
sudoers file or making the equivalent change in your user permissions directory:
host ALL=(actions) NOPASSWD: ALL
To run an impersonated Session on Windows Systems modify the "Running a Session" example as follows:
...
from openjd.sessions import WindowsSessionUser
...
# If you're running in an interactive logon session (e.g. cmd or powershell on your desktop)
user = WindowsSessionUser($USERNAME$, password=$PASSWORD_OF_USERNAME$)
# If you're running in a Windows Service
user = WindowsSessionUser($USERNAME$, logon_token=user_logon_token)
# Where `user_logon_token` is a token that you have created that is compatible
# with the Win32 API: CreateProcessAsUser
...
with Session(
session_id="demo",
job_parameter_values=job_parameters,
callback=action_complete_callback,
user=user
) as session:
...
You must ensure that the Python installation hosting this code can be run by any impersonated
user in addition to the host user. The library makes impersonated subprocess calls to
perform operations dependent on the impersonated user file system permissions, such as finding
files in search paths.
If running in a Windows Service, then you must ensure that:
- The
hostuser is an Administrator, LocalSystem, or LocalService user as your security posture requires; and - The
hostuser has the Replace a process level token privilege.
You can download this package from:
See Verifying GitHub Releases for more information.
We take all security reports seriously. When we receive such reports, we will investigate and subsequently address any potential vulnerabilities as quickly as possible. If you discover a potential security issue in this project, please notify AWS/Amazon Security via our vulnerability reporting page or directly via email to AWS Security. Please do not create a public GitHub issue in this project.
This project is licensed under the Apache-2.0 License.