add continuous room type detection based on OpenAI VLM

[ShaohongZ]

Overview

Added continuous room type detection and logging using OpenAI VLM

Changes

Included an update to the OpenAI VLM input for room type detection, and a new background process with a provider to publish the room type to the SLAM map location API

[codecov]

❌ 1 Tests Failed:

Tests completed	Failed	Passed	Skipped
1	1	0	0

View the top 1 failed test(s) by shortest run time

tests/inputs/base/test_inputs_plugins.py::tests.inputs.base.test_inputs_plugins

Stack Traces | 0s run time

.../inputs/base/test_inputs_plugins.py:35: in <module>
    @pytest.mark.parametrize("input_class", get_all_inputs_classes())
.../inputs/base/test_inputs_plugins.py:20: in get_all_inputs_classes
    module = importlib.import_module(f"inputs.plugins.{plugin}")
.../hostedtoolcache/Python/3.10.19........./x64/lib/python3.10/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
<frozen importlib._bootstrap>:1050: in _gcd_import
    ???
<frozen importlib._bootstrap>:1027: in _find_and_load
    ???
<frozen importlib._bootstrap>:1006: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:688: in _load_unlocked
    ???
<frozen importlib._bootstrap_external>:883: in exec_module
    ???
<frozen importlib._bootstrap>:241: in _call_with_frames_removed
    ???
.../inputs/plugins/vlm_openai_rtsp_room_detection.py:34: in <module>
    class VLMOpenAIRTSPROOM(FuserInput[str]):
.../hostedtoolcache/Python/3.10.19........./x64/lib/python3.10/typing.py:312: in inner
    return func(*args, **kwds)
.../hostedtoolcache/Python/3.10.19........./x64/lib/python3.10/typing.py:1345: in __class_getitem__
    _check_generic(cls, params, len(cls.__parameters__))
.venv/lib/python3.10/site-packages/typing_extensions.py:3100: in _check_generic
    raise TypeError(f"Too {'many' if alen > elen else 'few'} {things}"
E   TypeError: Too few arguments for <class 'inputs.base.loop.FuserInput'>; actual 1, expected at least 2

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