Python STTP (IEEE 2664) Implementation
The Streaming Telemetry Transport Protocol (STTP) is optimized for the demands of transporting high volume streaming data. The protocol allows for the transmission of any information that can be represented longitudinally, e.g., time-series data.
STTP is an officially approved IEEE standard (2664), see: https://standards.ieee.org/ieee/2664/7397/
from sttp.subscriber import Subscriber
from time import time
from threading import Thread
def main():
subscriber = Subscriber()
try:
# Start new data read at each connection
subscriber.connectionestablished_receiver = (
lambda: Thread(target=read_data, args=(subscriber,)).start())
subscriber.subscribe("FILTER TOP 20 ActiveMeasurements WHERE True")
subscriber.connect("localhost:7175")
# Exit when enter key is pressed
input()
finally:
subscriber.dispose()
def read_data(subscriber: Subscriber):
subscriber.default_connectionestablished_receiver()
reader = subscriber.read_measurements()
lastmessage = 0.0
while subscriber.connected:
measurement, success = reader.next_measurement()
if not success:
break
if time() - lastmessage < 5.0:
continue
elif lastmessage == 0.0:
subscriber.statusmessage("Receiving measurements...")
lastmessage = time()
continue
message = [
f"{subscriber.total_measurementsreceived:,}",
" measurements received so far. Current measurement:\n ",
str(measurement)
]
subscriber.statusmessage("".join(message))
lastmessage = time()Example Output:
Connection to 127.0.0.1:7175 established.
Received 10,742 bytes of metadata in 0.045 seconds. Decompressing...
Decompressed 89,963 bytes of metadata in 0.004 seconds. Parsing...
Parsed 179 metadata records in 0.215 seconds
Discovered:
1 DeviceDetail records
172 MeasurementDetail records
5 PhasorDetail records
1 SchemaVersion records
Metadata schema version: 14
Received success code in response to server command: Subscribe
Client subscribed as compact with 20 signals.
Receiving measurements...
1,470 measurements received so far. Current measurement:
28bbb1fc-3434-48d3-87a8-bf5024c089d5 @ 19:43:53.600 = 516.545 (Normal)
2,970 measurements received so far. Current measurement:
ed6def67-54c4-4e74-af95-c95fa6915fbc @ 19:43:58.600 = 218.070 (Normal)
4,460 measurements received so far. Current measurement:
7aaf0a8f-3a4f-4c43-ab43-ed9d1e64a255 @ 19:44:03.633 = -0.230 (Normal)
5,930 measurements received so far. Current measurement:
7aaf0a8f-3a4f-4c43-ab43-ed9d1e64a255 @ 19:44:08.633 = 8228.000 (Normal)
Connection to 127.0.0.1:7175 terminated.from sttp.publisher import Publisher
from sttp.transport.measurement import Measurement
from sttp.data.dataset import DataSet
from sttp.ticks import Ticks
from threading import Timer
import numpy as np
import os
def main():
publisher = Publisher()
try:
# Start publisher on port 7165
publisher.start(7165)
# Load and define metadata
metadata_path = os.path.join(os.path.dirname(__file__), "Metadata.xml")
dataset, err = DataSet.from_xml(open(metadata_path).read())
if err is not None:
print(f"ERROR: Failed to load metadata: {err}")
return
publisher.define_metadata(dataset)
# Get measurements to publish (exclude statistics)
measurements_to_publish = publisher.filter_metadata("SignalAcronym <> 'STAT'")
# Publish measurements every 33ms (30 Hz)
def publish_data():
timestamp = Ticks.utcnow()
measurements = []
for metadata in measurements_to_publish:
measurement = Measurement()
measurement.signalid = metadata.signalid
measurement.timestamp = timestamp
# Generate realistic values based on signal type
if metadata.signalacronym == "FREQ":
measurement.value = np.float64(60.0 + (np.random.random() - 0.5) * 0.02)
else:
measurement.value = np.float64(np.random.random())
measurements.append(measurement)
publisher.publish_measurements(measurements)
# Schedule next publication
Timer(0.033, publish_data).start()
# Start publishing
publish_data()
# Wait for user input to stop
input("Press Enter to stop publishing...\n")
finally:
publisher.stop()
if __name__ == "__main__":
main()For discussion and support, join our discussions channel or open an issue on GitHub.

