15 releases (4 stable)
2.0.0-rc2 | Sep 30, 2022 |
---|---|
2.0.0-rc1 | Sep 12, 2022 |
1.1.3 | Jan 26, 2022 |
1.1.0-rc | Sep 16, 2021 |
0.11.9 | Oct 29, 2020 |
#971 in Web programming
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59KB
1.5K
SLoC
Python binding for Rust Media Cloud AI Worker SDK
Based on mcai_worker_sdk.
Build
To build the rust application
cargo build
Test
To run the unit tests, you must build the provided worker example (see the Build section above).
cargo test
Usage
This worker uses the PyO3 crate to load a Python file, and to execute it.
To implement a worker, a pyproject.toml
file must be created with metadata describing the worker.
It must at least contain both project
and build-system
sections.
Example: (minimal configuration)
[project]
name = "my_python_worker"
version = "1.2.3"
description = "My Python worker"
license = { text = "MIT" }
[build-system]
requires = []
The Python worker parameters must be into a Python class as static attributes. Each parameter type must be explicitly set.
Example:
import typing
class MyWorkerParameters:
a_parameter: int
another_parameter: typing.Optional[str] = None
The Python worker itself must be defined as a Python class implementing some methods:
get_parameters_type() -> typing.Type
(static):- To retrieve the worker parameters class
init()
(static):- To initialize the worker process (optional)
process(handle_callback, parameters, job_id) -> dict
(static) withparameters
instance of the worker parameter class:- To execute the worker process and return the job result.
If the media
feature is enabled, the following function must be implemented:
init_process(stream_handler, format_context, parameters) -> list
(static) withparameters
instance of the worker parameter class:- To initialize the media worker process and return a list of
GenericStreamDescriptor
s
- To initialize the media worker process and return a list of
process_frames(job_id, stream_index, frames) -> dict
(static):- To process some input audio/video frames and return the job result.
process_ebu_ttml_live(job_id, stream_index, ttml_contents) -> dict
(static):- To process some input EBU TTML frames and return the job result.
ending_process()
(static):- To end the media worker process
NB: the process(handle_callback, parameters, job_id) -> dict
function is not called when the media
feature is
enabled.
For more details, see the provided worker.py and media_worker.py examples.
Set the PYTHON_WORKER_FILENAME
environment variable to specify the path of your Python worker. Otherwise,
the worker.py
file will be loaded by default.
Running examples
Simple worker
RUST_LOG=debug \
SOURCE_ORDERS="examples/message.json" \
PYTHON_WORKER_FILENAME="worker.py" \
SOURCE_PATH="README.md" \
DESTINATION_PATH="README.md.out" \
cargo run
Media worker
First set the media filename:
export SOURCE_PATH="/folder/filename.ext"
Then run the SDK with these parameters:
RUST_LOG=debug \
SOURCE_ORDERS="examples/message.json" \
PYTHON_WORKER_FILENAME="media_worker.py" \
DESTINATION_PATH="results.json" \
cargo run --features media
Dependencies
~36–52MB
~857K SLoC