PyPlotJuggling 1.0.2

A Python client library for PlotJuggling JSON UDP API

PyPlotJuggling

PyPlotJuggling is a Python library for sending data over UDP, with a focus on providing analytics about the data transmission. It's designed to be used in applications where you need to stream data to a remote endpoint and monitor the performance of the data transfer.

Installation

You can install PyPlotJuggling using pip:

pip install pyplotjuggling

Usage

The main component of PyPlotJuggling is the PortJugglerClient, which is used to send data to a specified IP address and port. It also provides analytics about the data being sent.

Basic Usage

Here's a simple example of how to use PortJugglerClient:

from PyPlotJuggling import PlotJugglerClient, PJData
import time

# Create a client
client = PlotJugglerClient("127.0.0.1", 12345)

# Send some data
for i in range(10):
    data = PJData(values={"value": i})
    client.send(data)
    time.sleep(0.1)

# Close the client
client.close()

Analytics

PortJugglerClient can provide analytics about the data being sent. There are four analytics modes, which can be set using the analytics parameter in the constructor:

• AnalyticsMode.OFF: No analytics are collected. This is the default.
• AnalyticsMode.BASIC: Basic analytics are collected, but not sent with the data. You can get the analytics by calling the get_analytics() method.
• AnalyticsMode.IN_JUGGLER: The analytics data is included in the data sent to the remote endpoint. The analytics data is added to the values dictionary of the PJData object, under the key "analytics".
• AnalyticsMode.PERIODIC: Analytics are logged periodically to the console. The interval can be set with the periodic_interval parameter.

Here's an example of how to use the IN_JUGGLER analytics mode:

from PyPlotJuggling import PlotJugglerClient, PJData, AnalyticsMode
import time

# Create a client with IN_JUGGLER analytics mode
client = PlotJugglerClient("127.0.0.1", 12345, analytics=AnalyticsMode.IN_JUGGLER)

# Send some data
for i in range(10):
    data = PJData(values={"value": i})
    client.send(data)
    time.sleep(0.1)

# Close the client
client.close()

Analytics Data

The analytics data is provided as an AnalyticsModel object, which has the following fields:

• num_values: The number of values in the last sent PJData object.
• frequency: The momentary frequency of messages sent, in Hz.
• duration: The total duration of the client's life, in seconds.
• rate: The momentary rate of data sent, in bytes per second.
• ow_warning: A boolean that is set to True if the analytics key is already present in the PJData object's values dictionary when using IN_JUGGLER mode.
• window_size: The size of the analytics window in seconds.

Periodic Analytics with Callback

When using AnalyticsMode.PERIODIC, you can also provide a callback function to process the analytics data.

from PyPlotJuggling import PlotJugglerClient, PJData, AnalyticsMode, AnalyticsModel
import time


def my_analytics_callback(analytics: AnalyticsModel):
    print(f"Custom callback: {analytics.frequency:.2f} Hz")


# Create a client with a callback
client = PlotJugglerClient(
    "127.0.0.1",
    12345,
    analytics=AnalyticsMode.PERIODIC,
    periodic_interval=1.0,
    analytics_callback=my_analytics_callback
)

# Send data for a few seconds
for i in range(50):
    data = PJData(values={"value": i})
    client.send(data)
    time.sleep(0.1)

client.close()

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for details.

License

This project is licensed under the terms of the LICENSE file.