Metadata-Version: 2.4
Name: openjd-sessions
Version: 0.10.8
Summary: 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.
Project-URL: Homepage, https://github.com/OpenJobDescription/openjd-sessions-for-python
Project-URL: Source, https://github.com/OpenJobDescription/openjd-sessions-for-python
Author: Amazon Web Services
License-Expression: Apache-2.0
License-File: LICENSE
License-File: NOTICE
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.9
Requires-Dist: openjd-model<0.10,>=0.9
Requires-Dist: psutil<7.3,>=5.9; platform_system == 'Windows'
Requires-Dist: pywin32>=307; platform_system == 'Windows'
Description-Content-Type: text/markdown

# Open Job Description - Sessions for Python

[![pypi](https://img.shields.io/pypi/v/openjd-sessions.svg)](https://pypi.python.org/pypi/openjd-sessions)
[![python](https://img.shields.io/pypi/pyversions/openjd-sessions.svg?style=flat)](https://pypi.python.org/pypi/openjd-sessions)
[![license](https://img.shields.io/pypi/l/openjd-sessions.svg?style=flat)](https://github.com/OpenJobDescription/openjd-sessions/blob/mainline/LICENSE)

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](https://github.com/OpenJobDescription/openjd-specifications/wiki/How-Jobs-Are-Run#sessions)
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](https://github.com/OpenJobDescription/openjd-specifications/wiki).

## Compatibility

This library requires:

1. Python 3.9 or higher;
2. Linux, MacOS, or Windows operating system;
3. On Linux/MacOS:
    * `sudo`
4. On Windows:
    * CPython implementation of Python

## Versioning

This package's version follows [Semantic Versioning 2.0](https://semver.org/), 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:

1. The MAJOR version is currently 0, indicating initial development.
2. The MINOR version is currently incremented when backwards incompatible changes are introduced to the public API.
3. The PATCH version is currently incremented when bug fixes or backwards compatible changes are introduced to the public API.

## Contributing

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](./CONTRIBUTING.md) for our contributing guidelines.

## Example Usage

### Running a Session

```python
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()
```

### Impersonating a User

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:
1. Provide a means to securely isolate the environment and files of the `host` user
   from the environment in which the Session Actions are run. Configure your filesystem
   permissions, and user groups for the `host` and `actions` users such that the `actions`
   user cannot read, write, or execute any of the `host` user files that it should not be
   able to.
2. 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.

#### Impersonating a User: POSIX Systems

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
```

#### Impersonating a User: Windows Systems

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:
1. The `host` user is an Administrator, LocalSystem, or LocalService user as your
   security posture requires; and
2. The `host` user has the [Replace a process level token](https://learn.microsoft.com/en-us/windows/security/threat-protection/security-policy-settings/replace-a-process-level-token)
   privilege.


## Downloading

You can download this package from:
- [PyPI](https://pypi.org/project/openjd-sessions/)
- [GitHub releases](https://github.com/OpenJobDescription/openjd-sessions-for-python/releases)

### Verifying GitHub Releases

See [Verifying GitHub Releases](https://github.com/OpenJobDescription/openjd-sessions-for-python?tab=security-ov-file#verifying-github-releases) for more information.

## Security

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](http://aws.amazon.com/security/vulnerability-reporting/)
or directly via email to [AWS Security](aws-security@amazon.com). Please do not 
create a public GitHub issue in this project.

## License

This project is licensed under the Apache-2.0 License.
