There will be a 'running build command' message with more details later.

The initial messages might contain important information.

Ensures that we see all error messages instead of just the exit code.

This node is able to record a dataset in LeRobot format.
It records joint angle, can record multiple camera feeds using the
`opencv-video-capture` node.
Also added example to record dataset using SO101 arm

The working directory deliberatly included the session ID in distributed
settings to avoid conflicts when multiple dataflows are run on the same
daemon.

The session ID is a unique identifier created for each dataflow.yaml
file. By using this ID as part of the working directory, we can ensure
that no other dataflow is running in the same directory. Sharing a
working directory between multiple distinct dataflows could easily lead
to unexpected behavior, e.g. by overwriting files of the other dataflow
run. So it's better to avoid this.

By using the session ID, the daemon will still be able to reuse build
artifacts etc of previous dataflow runs. So incremental compilation
still works.

Reverts dora-rs/dora#1064

The current working folder when using distributed dora-daemon is a
folder that does not exist making it impossible to spawn build command.

In order to be able to use Chinese within rerun Chinese characters are
converted to pinyin

See: https://github.com/dora-rs/dora/issues/1039

This uses latest pyo3 special method

This fixes #1057 printing where the message contains ERROR and is
therefore never printed.

It seems that too few ticks to ensure everything work correctly.

The topics and the services still not initialized, the loop has been
break and there are no responses from the `add` server.
1000 events counter is considerable for the whole program, while 20
received ticks are not so reasonable.

I'm running on an AMD 6800H Laptop with Ubuntu in Docker, whose
performance is totally enough for such a simple example.

This PR removes macOS version pinning on Maturin that makes it the
prebuilt will not installable on other macOS version.

I believe the original error is due to macOS x86 and I think it's time
to remove support for it.

This pull request initiates a series of CLI rework efforts aimed at
improving maintainability, consistency, and user experience.

This PR makes it possible to keep focal information with avif file and
be readable later.