320 lines
12 KiB
Python
320 lines
12 KiB
Python
import json
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import re
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import matplotlib.pyplot as plt
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def plot_rsrp(filename):
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# Load the JSON file
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with open(filename, "r") as file:
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data = json.load(file)
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# Extract distance and RSRP values (convert RSRP values to integers)
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distances = []
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rsrp_prx = []
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rsrp_drx = []
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rsrp_rx2 = []
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rsrp_rx3 = []
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for entry in data:
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try:
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rsrp_prx.append(
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-169
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if int(entry["RSRP PRX"].strip()) == -32768
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else int(entry.get("RSRP PRX", -169))
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)
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rsrp_drx.append(
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-169
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if int(entry["RSRP DRX"].strip()) == -32768
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else int(entry.get("RSRP DRX", -169))
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)
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rsrp_rx2.append(
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-169
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if int(entry["RSRP RX2"].strip()) == -32768
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else int(entry.get("RSRP RX2", -169))
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)
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rsrp_rx3.append(
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-169
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if int(entry["RSRP RX3"].strip()) == -32768
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else int(entry.get("RSRP RX3", -169))
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)
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distances.append(entry["distance"])
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except (ValueError, KeyError):
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continue
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# Plot the data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, rsrp_prx, label="RSRP PRX", marker="o")
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plt.plot(distances, rsrp_drx, label="RSRP DRX", marker="s")
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plt.plot(distances, rsrp_rx2, label="RSRP RX2", marker="^")
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plt.plot(distances, rsrp_rx3, label="RSRP RX3", marker="d")
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plt.title("RSRP vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("RSRP (dBm)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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def plot_rsrq(filename):
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# Load the JSON file
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with open(filename, "r") as file:
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data = json.load(file)
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# Extract distance and RSRQ values (convert RSRQ values to integers)
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distances = []
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rsrq_prx = []
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rsrq_drx = []
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rsrq_rx2 = []
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rsrq_rx3 = []
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for entry in data:
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try:
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rsrq_prx.append(
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-20
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if int(entry["RSRQ PRX"].strip()) == -32768
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else int(entry.get("RSRQ PRX", -20))
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)
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rsrq_drx.append(
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-20
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if int(entry["RSRQ DRX"].strip()) == -32768
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else int(entry.get("RSRQ DRX", -20))
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)
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rsrq_rx2.append(
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-20
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if int(entry["RSRQ RX2"].strip()) == -32768
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else int(entry.get("RSRQ RX2", -20))
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)
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rsrq_rx3.append(
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-20
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if int(entry["RSRQ RX3"].strip()) == -32768
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else int(entry.get("RSRQ RX3", -20))
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)
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distances.append(entry["distance"])
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except (ValueError, KeyError):
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continue
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# Plot the data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, rsrq_prx, label="RSRQ PRX", marker="o")
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plt.plot(distances, rsrq_drx, label="RSRQ DRX", marker="s")
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plt.plot(distances, rsrq_rx2, label="RSRQ RX2", marker="^")
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plt.plot(distances, rsrq_rx3, label="RSRQ RX3", marker="d")
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plt.title("RSRQ vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("RSRQ (dBm)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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def plot_iperf(filename):
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# Load the JSON file
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with open(filename, "r") as file:
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data = json.load(file)
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distances = []
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sender = []
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receiver = []
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for entry in data:
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try:
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message = entry["iperf_full"]
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bitrates = re.findall(r"(\d+\.\d+) Mbits/sec", message)
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sender.append(float(bitrates[-2]))
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receiver.append(float(bitrates[-1]))
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distances.append(entry["start_distance"])
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except (ValueError, KeyError):
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continue
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# Plot the data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, sender, label="Avg Sender Bitrate", marker="o")
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plt.plot(distances, receiver, label="Avg Receiver Bitrate", marker="s")
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plt.title("IPERF vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("Bitrate (Mbits/s)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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def plot_bytes(filename):
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# Load the JSON file
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with open(filename, "r") as file:
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data = json.load(file)
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distances = []
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uplink = []
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downlink = []
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for entry in data:
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try:
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if (
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int(entry["uplink (bytes/s)"].strip()) < 1000000
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and int(entry["downlink (bytes/s)"].strip()) < 1000000
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):
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distances.append(entry["distance"])
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uplink.append(int(entry["uplink (bytes/s)"].strip()))
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downlink.append(int(entry["downlink (bytes/s)"].strip()))
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except (ValueError, KeyError):
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continue
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# Plot the data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, downlink, label="Downlink Bitrate", marker="o")
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plt.plot(distances, uplink, label="Uplink Bitrate", marker="s")
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plt.title("Bitrate vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("Bitrate (bytes/s)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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def plot_manual():
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distances = [0, 100, 200, 300, 400, 500, 600, 700, 800]
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rsrps = [-56, -82, -90, -93, -100, -105, -105, -116, -150]
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sender = [0, 6.06, 6.95, 6.37, 6.96, 8.04, 7.30, 0, 0]
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receiver = [0, 5.20, 6.10, 5.24, 6.08, 6.84, 6.37, 0, 0]
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# Plot the RSRP data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, rsrps, label="RSRP", marker="o")
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plt.title("RSRP vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("RSRP (dBm)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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# Plot the iperf data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, sender, label="Avg Sender Bitrate", marker="o")
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plt.plot(distances, receiver, label="Avg Receiver Bitrate", marker="s")
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plt.title("IPERF vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("Bitrate (Mbits/s)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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def plot_double_iperf(filename):
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# Load the JSON file
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with open(filename, "r") as file:
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data = json.load(file)
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distances = []
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sender = []
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receiver = []
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reverse_distances = []
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reverse_sender = []
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reverse_receiver = []
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for entry in data:
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if "iperf_full" in entry:
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if "Reverse mode" in entry["iperf_full"]:
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try:
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reverse_sender.append(float(entry["sender_bitrate"]))
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reverse_receiver.append(float(entry["receiver_bitrate"]))
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reverse_distances.append(entry["start_distance"])
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except:
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message = entry["iperf_full"]
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bitrates = re.findall(r"(\d+\.\d+) Mbits/sec", message)
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reverse_sender.append(float(bitrates[-2]))
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reverse_receiver.append(float(bitrates[-1]))
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reverse_distances.append(entry["start_distance"])
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else:
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try:
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sender.append(float(entry["sender_bitrate"]))
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receiver.append(float(entry["receiver_bitrate"]))
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distances.append(entry["start_distance"])
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except:
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message = entry["iperf_full"]
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bitrates = re.findall(r"(\d+\.\d+) Mbits/sec", message)
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sender.append(float(bitrates[-2]))
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receiver.append(float(bitrates[-1]))
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distances.append(entry["start_distance"])
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# Plot the data
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plt.figure(figsize=(10, 6))
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plt.plot(distances, sender, label="Avg Sender Bitrate", marker="o", color="red")
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plt.plot(
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distances,
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receiver,
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label="Avg Receiver Bitrate",
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marker="s",
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color="darkorange",
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)
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plt.plot(
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reverse_distances,
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reverse_sender,
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label="Avg Reverse Sender Bitrate",
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marker="^",
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color="blue",
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)
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plt.plot(
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reverse_distances,
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reverse_receiver,
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label="Avg Reverse Receiver Bitrate",
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marker="d",
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color="blueviolet",
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)
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plt.title("IPERF vs Distance")
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plt.xlabel("Distance (m)")
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plt.ylabel("Bitrate (Mbits/s)")
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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# Show the plot
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plt.show()
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if __name__ == "__main__":
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# print("Connecting to host 10.46.0.1, port 5201\n[ 5] local 192.168.225.83 port 60164 connected to 10.46.0.1 port 5201\n[ ID] Interval Transfer Bitrate Retr Cwnd\n[ 5] 0.00-1.00 sec 361 KBytes 2.95 Mbits/sec 0 43.4 KBytes \n[ 5] 1.00-2.00 sec 329 KBytes 2.70 Mbits/sec 0 56.6 KBytes \n[ 5] 2.00-3.00 sec 782 KBytes 6.41 Mbits/sec 0 89.5 KBytes \n[ 5] 3.00-4.00 sec 379 KBytes 3.11 Mbits/sec 0 107 KBytes \n[ 5] 4.00-5.00 sec 569 KBytes 4.66 Mbits/sec 0 133 KBytes \n[ 5] 5.00-6.00 sec 379 KBytes 3.11 Mbits/sec 0 151 KBytes \n[ 5] 6.00-7.00 sec 632 KBytes 5.18 Mbits/sec 0 182 KBytes \n[ 5] 7.00-8.00 sec 569 KBytes 4.66 Mbits/sec 0 247 KBytes \n[ 5] 8.00-9.00 sec 379 KBytes 3.11 Mbits/sec 0 309 KBytes \n[ 5] 9.00-10.00 sec 442 KBytes 3.62 Mbits/sec 0 432 KBytes \n- - - - - - - - - - - - - - - - - - - - - - - - -\n[ ID] Interval Transfer Bitrate Retr\n[ 5] 0.00-10.00 sec 4.71 MBytes 3.95 Mbits/sec 0 sender\n[ 5] 0.00-10.82 sec 4.31 MBytes 3.34 Mbits/sec receiver\n\niperf Done.\n")
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# print("Connecting to host 10.46.0.1, port 5201\n[ 5] local 192.168.225.83 port 44064 connected to 10.46.0.1 port 5201\n[ ID] Interval Transfer Bitrate Retr Cwnd\n[ 5] 0.00-1.00 sec 405 KBytes 3.32 Mbits/sec 0 44.8 KBytes \n[ 5] 1.00-2.00 sec 320 KBytes 2.62 Mbits/sec 0 57.9 KBytes \n[ 5] 2.00-3.00 sec 207 KBytes 1.69 Mbits/sec 0 65.8 KBytes \n[ 5] 3.00-4.00 sec 253 KBytes 2.07 Mbits/sec 0 79.0 KBytes \n[ 5] 4.00-5.00 sec 379 KBytes 3.11 Mbits/sec 0 93.5 KBytes \n[ 5] 5.00-6.00 sec 442 KBytes 3.62 Mbits/sec 0 124 KBytes \n[ 5] 6.00-7.00 sec 442 KBytes 3.62 Mbits/sec 0 176 KBytes \n[ 5] 7.00-8.00 sec 569 KBytes 4.66 Mbits/sec 0 249 KBytes \n[ 5] 8.00-9.00 sec 695 KBytes 5.69 Mbits/sec 0 333 KBytes \n[ 5] 9.00-10.00 sec 442 KBytes 3.62 Mbits/sec 0 433 KBytes \n- - - - - - - - - - - - - - - - - - - - - - - - -\n[ ID] Interval Transfer Bitrate Retr\n[ 5] 0.00-10.00 sec 4.06 MBytes 3.40 Mbits/sec 0 sender\n[ 5] 0.00-11.14 sec 3.48 MBytes 2.62 Mbits/sec receiver\n\niperf Done.\n")
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plot_double_iperf(
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filename="/home/madrigal/Documents/code/beach_apr4/collection_1743777162.json"
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)
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plot_rsrp(
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filename="/home/madrigal/Documents/code/beach_apr4/collection_1743777162.json"
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)
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plot_rsrq(
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filename="/home/madrigal/Documents/code/beach_apr4/collection_1743777162.json"
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)
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# plot_double_iperf(filename="/home/madrigal/Documents/code/beach_mar_7/collection_whip_antennas.json")
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# plot_iperf(filename='/home/madrigal/Documents/code/collections_beach_jan_29/collection_1738178064.json')
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# plot_bytes(filename="/home/madrigal/Documents/code/collections_beach_jan_29/collection_1738178064.json")
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# plot_manual()
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