从客户端接收回数据
问题描述
我使用套接字连接将一个缩放数组从服务器发送到客户端,现在它工作得很好,我想将数据发回服务器,以便在服务器中取消它的缩放。数据一次每行发送到客户端,因此我尝试将它们放回一个名为Final的空数组中。这是server.py
import socket
import numpy as np
import pandas as pd
import sklearn
from sklearn.preprocessing import MinMaxScaler
i = 0
scaler_ti = MinMaxScaler()
test_inputs = []
test_inputs = np.array(test_inputs)
temp_in = pd.read_excel(r'K:BachelorThesisDataTestingDataMix_Data_inputs.xlsx')
test_inputs = temp_in.to_numpy()
rows = test_inputs.shape[0]
scaler_ti.fit(test_inputs)
normalized_test_inputs = scaler_ti.transform(test_inputs)
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host = ''
port = 62402
s.bind((host,port))
s.listen(5)
while True:
connection, clientsocket, address = s.accept()
print(f"connection from {address} has been established!")
strg = test_inputs
temp = strg.tobytes()
clientsocket.send(temp)
clientsocket.close()
if i in range(65533):
i = i + 1
msg = connection.recv(64)
out = np.frombuffer(msg)
inverse = scaler_ti.inverse_transform(out.reshape(1,8))
print(inverse)
这是client.py
import socket
import numpy as np
import pandas as pd
import sklearn
from sklearn.preprocessing import MinMaxScaler
from tensorflow.keras.models import load_model
import tensorflow as tf
from random import randint
i = 0
final = []
final = np.array(final)
#modelLSTM = load_model('K:BachelorThesiscode testingTireForces.LSTM/LSTM_model.h5')
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host = socket.gethostname()
port = 62402
s.connect((host, port))
while True:
if i in range(65533):
i = i + 1
msg = s.recv(64)
out = np.frombuffer(msg)
#out = out.reshape(1,8)
#out = out.reshape(1,1,8)
#prediction = modelLSTM.predict(out)
#inverse = scaler_ti.inverse_transform(prediction.reshape(1,8))
#print(prediction)
#print(inverse)
final = np.vstack(out)
print(out)
if len(msg) <= 0:
break
strg = final
temp = strg.tobytes()
s.send(temp)
#serversocket.close()
#print (final)
这是我从server.py收到的错误
Traceback (most recent call last):
File "K:BachelorThesiscode testingserver.py", line 26, in <module>
connection, clientsocket, address = s.accept()
ValueError: not enough values to unpack (expected 3, got 2)
这是我从client.py收到的错误
Traceback (most recent call last):
File "K:BachelorThesiscode testingclient.py", line 31, in <module>
final = np.vstack(out)
File "<__array_function__ internals>", line 5, in vstack
File "C:UserskarimAppDataLocalProgramsPythonPython39libsite-
packages
umpycoreshape_base.py", line 283, in vstack
return _nx.concatenate(arrs, 0)
File "<__array_function__ internals>", line 5, in concatenate
ValueError: need at least one array to concatenate
解决方案
您的主要问题是accept()
始终只发送两个值,但您需要三个值。
应该是
connection, address = s.accept()
并且您应该使用connection
而不是clientsocket
但它会带来其他问题,因为您在发送数据后关闭clientsocket
,但您还需要此连接才能接收数据。
所有这一切看起来像是你加入了两个代码。这些代码可以单独工作,但不能一起工作-因为这两个代码都需要关闭连接以通知数据已结束,但现在您在发送后无法关闭它,因为您需要连接才能接收其他数据。
您必须使用不同的方式通知对方数据已结束。您必须首先发送数据大小(作为具有恒定大小的对象,因此作为字符串发送将不起作用,因为对于不同的数字,它可能具有不同的长度),然后再发送数据。然后另一端必须首先获取数据大小(作为具有恒定大小的对象),然后使用该si值来检测它是否获取了所有数据。您可以使用struct
将integer
大小转换为4个字节(因此,对于不同的值,它的大小是恒定的),而另一端必须读取4个字节,然后再次使用struct
将其转换回integer
我无法运行它,但以下是代码。
服务器:
import socket
import struct
import numpy as np
import pandas as pd
import sklearn
from sklearn.preprocessing import MinMaxScaler
# --- functions ---
def send_data(connection, data):
data_size = len(data)
data_size_as_4_bytes = struct.pack('>I', data_size)
connection.send(data_size_as_4_bytes)
connection.send(data)
def recv_data(connection, chunk_size=64):
data_size_as_4_bytes = connection.recv(4)
data_size = struct.unpack('>I', data_size_as_4_bytes)[0]
data = b""
size = 0
while size < data_size:
chunk = connection.recv(chunk_size)
size += len(chunk)
data += chunk
return data
# --- main ---
scaler_ti = MinMaxScaler()
temp_in = pd.read_excel(r'K:BachelorThesisDataTestingDataMix_Data_inputs.xlsx')
test_inputs = temp_in.to_numpy()
rows = test_inputs.shape[0]
scaler_ti.fit(test_inputs)
normalized_test_inputs = scaler_ti.transform(test_inputs)
# -- send ---
HOST = '' # or '0.0.0.0'
PORT = 62402
#s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s = socket.socket() # default values are `socket.AF_INET, socket.SOCK_STREAM`
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) # solution for '[Error 89] Address already in use'. Use before bind()
s.bind((HOST, PORT))
s.listen(5)
try:
while True:
print('Waiting for client')
# wait for new client
connection, address = s.accept()
print(f"connection from {address} has been established!")
# --- send data ---
print('send:', test_inputs)
data = test_inputs.tobytes()
send_data(connection, data)
# don't close it because it is needed to receive data
#clientsocket.close()
# --- receive data ---
data = recv_data(connection)
output_data = np.frombuffer(data)
print('recv:', output_data)
# --- now you can close ---
connection.close()
except KeyboardInterrupt:
print("Stopped by Ctrl+C")
finally:
s.close()
客户端:
import socket
import struct
import numpy as np
import pandas as pd
import sklearn
from sklearn.preprocessing import MinMaxScaler
from tensorflow.keras.models import load_model
import tensorflow as tf
from random import randint
# --- functions ---
def send_data(connection, data):
data_size = len(data)
data_size_as_4_bytes = struct.pack('>I', data_size)
connection.send(data_size_as_4_bytes)
connection.send(data)
def recv_data(connection, chunk_size=64):
data_size_as_4_bytes = connection.recv(4)
data_size = struct.unpack('>I', data_size_as_4_bytes)[0]
data = b""
size = 0
while size < data_size:
chunk = connection.recv(chunk_size)
size += len(chunk)
data += chunk
return data
def some_calcuations(input_data)
# need something different
output_data = input_data
return output_data
# --- main ---
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host = socket.gethostname()
port = 62402
s.connect((host, port))
# --- recv ---
data = recv_data(s)
input_data = np.frombuffer(msg)
print('recv:', input_data)
# --- calculations ---
output_data = some_calcuations(input_data)
# --- send ---
print('send:', output_data)
data = output_data.tobytes()
send_data(s, data)
# --- close ---
s.close()
btw:
上周出现了类似的问题,我在其中显示了工作代码-它还使用threading
同时为多个客户端运行服务器。
GUI运行时使用Socket发送图片(截图):
not responding in tkinter when click button completely
使用套接字发送泡菜:
Pickle data truncated
在服务器的线程中使用套接字,以便与多个客户端协同工作:
How to handle multithreading with sockets in Python?
编辑:
循环发送的版本。
在所有行之后,它发送单词end
以通知已结束数据。
或者它可以在数据之前发送行数。
服务器:
import socket
import numpy as np
import struct
# --- functions ---
def send_data(connection, data):
data_size = len(data)
data_size_as_4_bytes = struct.pack('>I', data_size)
connection.send(data_size_as_4_bytes)
connection.send(data)
def recv_data(connection, chunk_size=64):
data_size_as_4_bytes = connection.recv(4)
data_size = struct.unpack('>I', data_size_as_4_bytes)[0]
data = b""
size = 0
while size < data_size:
chunk = connection.recv(chunk_size)
size += len(chunk)
data += chunk
return data
# --- main ---
np.random.seed(0) # it will always gives the same random numbers
test_inputs = np.random.random_sample((3,5))
# -- send ---
HOST = '' # or '0.0.0.0'
PORT = 62402
#s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s = socket.socket() # default values are `socket.AF_INET, socket.SOCK_STREAM`
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) # solution for '[Error 89] Address already in use'. Use before bind()
s.bind((HOST, PORT))
s.listen(5)
try:
while True:
# --- wait for new client ---
print('Waiting for client')
connection, address = s.accept()
print(f"Connection from {address} has been established!")
# --- send ---
for row in test_inputs:
# --- send data ---
print('send:', row)
data = row.tobytes()
send_data(connection, data)
# --- receive data ---
data = recv_data(connection)
row = np.frombuffer(data)
print('recv:', row)
# information that it is end of data
send_data(connection, 'end'.encode())
# --- now you can close ---
connection.close()
except KeyboardInterrupt:
print("Stopped by Ctrl+C")
finally:
s.close()
客户端:
# author: Bartlomiej "furas" Burek (https://blog.furas.pl)
# date: 2021.07.23
#
# title: receiving back data from the client
# url: https://stackoverflow.com/questions/68499599/receiving-back-data-from-the-client/68502806#68502806
import socket
import numpy as np
from random import randint
import struct
# --- functions ---
def send_data(connection, data):
data_size = len(data)
data_size_as_4_bytes = struct.pack('>I', data_size)
connection.send(data_size_as_4_bytes)
connection.send(data)
def recv_data(connection, chunk_size=64):
data_size_as_4_bytes = connection.recv(4)
data_size = struct.unpack('>I', data_size_as_4_bytes)[0]
data = b""
size = 0
while size < data_size:
chunk = connection.recv(chunk_size)
size += len(chunk)
data += chunk
return data
def some_calcuations(input_data):
# need something different
output_data = input_data
return output_data
# --- main ---
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host = socket.gethostname()
port = 62402
s.connect((host, port))
while True:
# --- recv ---
data = recv_data(s)
if data == b'end':
break
input_data = np.frombuffer(data)
print('recv:', input_data)
# --- calculations ---
output_data = some_calcuations(input_data)
# --- send ---
print('send:', output_data)
data = output_data.tobytes()
send_data(s, data)
# --- close ---
s.close()
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