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Project description
TUM ESM Signal
Replaces the shareable-timeseries-visualization
repository.
Installation:
poetry add tum-esm-signal
# or
pip install tum-esm-signal
Usage:
signal_client = TUM_ESM_SignalClient(
cms_identity=cms_identity,
cms_password=cms_password,
collection_name="test",
table_name="test",
column_name="test",
sensor_id="test",
unit="test",
description="test",
minimum=0,
maximum=10,
decimal_places=0,
)
while True:
print("Sending datapoint")
signal_client.add_datapoint(random.randint(0, 10))
time.sleep(2)
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