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websocket_client.py
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import asyncio
import websockets
import time
import numpy as np
import pandas as pd
from pickle import dumps, loads
import json
async def benchmark():
uri = "ws://localhost:8764"
async with websockets.connect(uri) as ws:
df = pd.DataFrame([],columns=["elapsed_time","size","iteration_n"])
for size in range(0,218):
msg = np.random.random((size, size))
for iteration in range(32):
start_time = time.time()
await ws.send(dumps(msg))
array = loads(await ws.recv())
elapsed_time = time.time() - start_time
df.loc[len(df.index)] = [elapsed_time, size,iteration]
df.to_csv("websocket_test_np2d_bin.csv")
df = pd.DataFrame([],columns=["elapsed_time","size","iteration_n"])
for size in range(0,131052,601):
msg = np.random.random((size, 1))
for iteration in range(32):
start_time = time.time()
await ws.send(dumps(msg))
array = loads(await ws.recv())
elapsed_time = time.time() - start_time
df.loc[len(df.index)] = [elapsed_time, size,iteration ]
df.to_csv("websocket_test_np1d_bin.csv")
df = pd.DataFrame([],columns=["elapsed_time","size","iteration_n"])
for size in range(0,47077,206):
msg = {}
msg['key'] = np.random.random((size, 1)).tolist()
for iteration in range(32):
start_time = time.time()
await ws.send(json.dumps(msg))
array = json.loads(await ws.recv())
elapsed_time = time.time() - start_time
df.loc[len(df.index)] = [elapsed_time, size,iteration]
df.to_csv("websocket_test_json1d.csv")
df = pd.DataFrame([],columns=["elapsed_time","size","iteration_n"])
for size in range(0,228,1):
msg = {}
msg['key'] = np.random.random((size, size)).tolist()
for iteration in range(32):
start_time = time.time()
await ws.send(json.dumps(msg))
array = json.loads(await ws.recv())
elapsed_time = time.time() - start_time
df.loc[len(df.index)] = [elapsed_time, size,iteration]
df.to_csv("websocket_test_json2d.csv")
asyncio.run(benchmark())