know

Build live stream tools

To install: pip install know

The tools are made to be able to create live streams of data (e.g. from sensors) and funnel them into proceses with a consistent interfaces. One important process being the process that will store all or part of the data, through a simple storage-system-agnositic facade.

proc = LiveProc(
   source=Sources(  # make a multi-source object (which will manage buffering and timing)
       audio=AudioSource(...),
       plc=PlcSource(...),
       video=VideoSource(...),
   ),
   services=Services(  # make a multi-data service (and/or writer/transformer) object
       storage=Store(...),
       notifications=Notif(...),
       live_viz=LiveViz(...),
   ),
   ...  # other settings for the process (logging, etc.)
)

proc()  # run the process

With a variety of sources, target storage systems, etc.

Examples

Recording Audio

from know.audio_to_store import *

wfs = demo_live_data_acquisition(chk_size=100_000, end_idx=300_000, logger=print)
print(f"{len(wfs)=}")

The end_idx=300_000 is there to automatically stop the demo after 300 thousand bytes are acquired (at the default rates that's about 1.5 seconds).

If you specify end_idx=None, the process will run until you interrupt it.

Recording Audio, with more control

Here's what's actually being fed to the demo when you don't specify any explicit live_source or store. You can use this to try different combinations of specs out:

from know.audio_to_store import *

wfs = demo_live_data_acquisition(
    live_source=LiveWf(
        input_device_index=None,  # if None, will try to guess the device index
        sr=44100,
        sample_width=2,
        chk_size=4096,
        stream_buffer_size_s=60,
    ),
    store=mk_session_block_wf_store(
        rootdir=None,  # will choose one for you
        # template examples: '{session}_{block}.wav' '{session}/d/{block}.pcm', '{session}/{block}', 'demo/s_{session}/blocks/{block}.wav'
        template='{session}/d/{block}.pcm',  # 
        pattern=r'\d+',
        value_trans=int
    ),
    chk_size=100_000,
    end_idx=300_000,
    logger=print
)
print(f"{len(wfs)=}")

What you want to see above, is how you can easily change the folder/file template you use to store data.

Below, we'll also show how you can change the data storage system backend completely, using a mongo database instead!

Here, see how you can use MongoDB to store your data. For this, you'll need to have a mongoDB server running locally, and mongodol installed (pip install mongodol).

from know.audio_to_store import mk_mongo_single_data


def _cast_data_field_to_json_list(d):
    return list(map(int, d))


play_nice_with_json = wrap_kvs(data_of_obj=_cast_data_field_to_json_list)

mongo_store = play_nice_with_json(
    mk_mongo_single_data(
        mgc='mongodol/test',  # enter here, the `db_name/collection_name` you want to use (uses local mongo client)
        key_fields=('session', 'block'),
        data_field='data'
    )
)

wfs = demo_live_data_acquisition(
    live_source=LiveWf(
        input_device_index=None,  # if None, will try to guess the device index
        sr=44100,
        sample_width=2,
        chk_size=4096,
        stream_buffer_size_s=60,
    ),
    store=mongo_store,
    chk_size=100_000,
    end_idx=300_000,
    logger=print
)
print(f"{len(wfs)=}")