树莓派环境下网络吞吐量监测Python方案及API需求问询

Got it, let's get your network throughput monitoring sorted on the Raspberry Pi—since you already have InfluxDB and Grafana in place, this should fit right in. Here are the tools, code, and workflows I recommend:

Recommended Python Libraries & Compatible APIs #

These are all pure-Python or ARM-compatible, so they work seamlessly on Raspberry Pi:

• speedtest-cli (for public throughput testing)
  This is a maintained, pure-Python implementation of speedtest-style functionality. No binary dependencies that might fail on ARM, so it's perfect for Pi. It measures both download and upload speeds, and outputs easily parseable data for your monitoring stack.

• iperf3-python (for controlled, private throughput testing)
  If you have access to a remote server (or can spin up a cheap cloud instance), iperf3 gives you consistent, customizable tests. The Python wrapper lets you automate client-side tests against an iperf3 server—great for getting repeatable data to share with your ISP for compliance.

Python Code Example (Speedtest + InfluxDB Integration) #

First, install the required packages:

pip install speedtest-cli influxdb-client

Then create a script (e.g., network_monitor.py) that runs tests at intervals and writes data to InfluxDB:

import time
import speedtest
from influxdb_client import InfluxDBClient, Point, WritePrecision
from influxdb_client.client.write_api import SYNCHRONOUS

# Update these with your InfluxDB details
INFLUXDB_URL = "http://your-influxdb-ip:8086"
INFLUXDB_TOKEN = "your-influxdb-token"
INFLUXDB_ORG = "your-org-name"
INFLUXDB_BUCKET = "network-monitoring"

# Initialize clients
st = speedtest.Speedtest()
influx_client = InfluxDBClient(url=INFLUXDB_URL, token=INFLUXDB_TOKEN, org=INFLUXDB_ORG)
write_api = influx_client.write_api(write_options=SYNCHRONOUS)

def run_throughput_test():
    try:
        # Select optimal server (you can hardcode a server ID for consistency)
        st.get_best_server()
        
        # Run tests and convert to Mbps
        download_speed = st.download() / 1_000_000
        upload_speed = st.upload() / 1_000_000
        ping = st.results.ping
        
        # Create InfluxDB data point
        point = Point("throughput") \
            .tag("device", "raspberry-pi") \
            .field("download_mbps", round(download_speed, 2)) \
            .field("upload_mbps", round(upload_speed, 2)) \
            .field("ping_ms", round(ping, 2)) \
            .time(time.time_ns(), WritePrecision.NS)
        
        # Write to InfluxDB
        write_api.write(bucket=INFLUXDB_BUCKET, org=INFLUXDB_ORG, record=point)
        print(f"Test completed: Down {download_speed:.2f} Mbps, Up {upload_speed:.2f} Mbps, Ping {ping:.2f} ms")
    
    except Exception as e:
        print(f"Test failed: {str(e)}")

if __name__ == "__main__":
    # Run test every 15 minutes (adjust interval as needed)
    TEST_INTERVAL = 900
    while True:
        run_throughput_test()
        time.sleep(TEST_INTERVAL)

Iperf3 Alternative Code Snippet #

If you prefer more controlled iperf3 tests (better for ISP compliance reports), install the library first:

pip install iperf3

Here's a client test snippet you can integrate with the InfluxDB code above:

import iperf3

def run_iperf_test():
    client = iperf3.Client()
    client.duration = 10  # Test for 10 seconds
    client.server_hostname = "your-iperf3-server-ip"
    client.port = 5201
    
    result = client.run()
    
    if result.error:
        print(f"Iperf test failed: {result.error}")
        return None
    else:
        return {
            "download_mbps": round(result.received_Mbps, 2),
            "upload_mbps": round(result.sent_Mbps, 2),
            "ping_ms": round(result.min_rtt, 2)
        }

Integrating with Grafana #

Since you already have Grafana set up:

1. Add your InfluxDB as a data source (use the same URL/token/org/bucket from the script)
2. Build your dashboard:
   • Add a Time Series panel to plot download_mbps and upload_mbps over time
   • Add Stat panels to show current ping, download, and upload speeds
   • Set up alerts to notify you if throughput drops below a threshold (e.g., 80% of your subscribed speed)

Bonus: Automate & Maintain #

• Make the script run on boot by creating a systemd service file (e.g., /etc/systemd/system/network-monitor.service):

  [Unit]
  Description=Network Throughput Monitor
  After=network.target
  
  [Service]
  User=pi
  ExecStart=/usr/bin/python3 /home/pi/network_monitor.py
  Restart=always
  
  [Install]
  WantedBy=multi-user.target
  

  Enable it with:

  sudo systemctl daemon-reload
  sudo systemctl enable network-monitor.service
  sudo systemctl start network-monitor.service
  

• For ISP compliance reports, use Grafana's export feature to generate PDF/PNG charts of your throughput history, or pull raw data from InfluxDB to run your DA/ML analysis on network fluctuations.

内容的提问来源于stack exchange，提问作者Oliver Prislan