We Keep Coding

I want build a alert for ema indicator crypto in a special list

First one:
### configuration details
TELEGRAM_TOKEN = '' # telegram bot token
TELEGRAM_CHANNEL ='' # channel id
INTERVAL = '1m' # binance time interval
SHORT_EMA = 7 # short interval for ema
LONG_EMA = 21 # long interval for ema
Here is my second code:
import requests
import talib
import time
import numpy as np
import websocket
from config import TELEGRAM_TOKEN, TELEGRAM_CHANNEL , INTERVAL, SHORT_EMA , LONG_EMA
def streamKline(currency, interval):
websocket.enableTrace(False)
socket = f'wss://stream.binance.com:9443/ws/{currency}#kline_{interval}'
ws = websocket.WebSocketApp(socket)
ws.run_forever()
#SYMBOLS TO LOOK FOR ALERTS
SYMBOLS = [
"ETHUSDT",
"BTCUSDT",
"ATOMUSDT",
"BNBUSDT",
"FTMBUSD",
"ENJUSDT",
"WAXPUSDT"
]
#sending alerts to telegram
def send_message(message):
url = "https://api.telegram.org/bot{}/sendMessage?chat_id={}&text={}&parse_mode=markdown".format(TELEGRAM_TOKEN,TELEGRAM_CHANNEL,message)
res = requests.get(url);print(url);
return res
# getting klines data to process
def streamKline(symbol):
data = socket.streamKline(symbol=symbol,interval=INTERVAL,limit=300) # more data means more precision but at the trade off between speed and time
return_data = []
# taking closing data for each kline
for each in data:
return_data.append(float(each[4])) # 4 is the index of the closing data in each kline
return np.array(return_data) # returning as numpy array for better precision and performance
def main():
# making a infinite loop that keeps checking for condition
while True:
#looping through each coin
for each in SYMBOLS:
data = streamKline(each)
ema_short = talib.EMA(data,int(SHORT_EMA))
ema_long = talib.EMA(data,int(LONG_EMA))
last_ema_short = ema_short[-2]
last_ema_long = ema_long[-2]
ema_short = ema_short[-1]
ema_long = ema_long[-1]
# conditions for alerts
if(ema_short > ema_long and last_ema_short < last_ema_long):
message = each + "bullcoming "+ str(SHORT_EMA) + " over "+str(LONG_EMA);print(each ,"alert came");
send_message(message);
time.sleep(0.5);
# calling the function
if __name__ == "__main__":
main()
The part of config is all settle done, just second for the kline data, the error mention lot like this.
data = socket.streamKline(symbol=symbol,interval=INTERVAL,limit=300) # more data means more precision but at the
trade off between speed and time
NameError: name 'socket' is not defined
I just don't know how to do it, I want build a ema alert that can give me a message when I am not watching chart, through this way seems not work, I have tried many times, and also find many video but still, I am just an beginner, nothing improving at all.

problem converting php code to python generating password digest for soap requests

<?php
$password = "SECRETPASSWORD";
$nonce = random_bytes(32); # requires PHP 7
date_default_timezone_set("UTC");
$timestamp = date(DATE_ATOM);
$encodedNonce = base64_encode($nonce);
$passSHA = base64_encode(sha1($nonce . $timestamp . sha1($password, true), true));
?>
it generates the below result with a 28 characters password digest, which I am using in soap requests, and it works fine
password_digest = '/pBYmwwc2cM87CUr8oB4Wkmyc0Q='
nonce = '���>�!��g��q�[�`�R��=J�o�'
nonce_base_64_encode = 'uqbkProhsR3JZxjC93HWW8BghQFSgqo9Sv9vGgUa4hs='
timestamp = '2022-01-13T18:28:52+00:00'
I need to do this same in python, but python is somehow generating longer password_digest and the soap request fails. I don't know if I am not generating the random_bytes correctly in python or some other issue. Below is python code:
import secrets
import hashlib
import datetime
clearPassword = 'MYSECRETPASSWORD'
created_at_timestamp_utc = datetime.datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%SZ")
def getSha1String(string):
stringInBytes = string.encode('ascii')
hash_object = hashlib.sha1(stringInBytes)
hex_dig = hash_object.hexdigest()
return hex_dig
def getBase64NonceString(nonce):
nonce_bytes = nonce.encode('ascii')
base64_bytes = base64.b64encode(nonce_bytes)
base64_nonce = base64_bytes.decode('ascii')
return base64_nonce
def getBase64String(string):
string_bytes = string.encode('ascii')
base64_bytes = base64.b64encode(string_bytes)
base64_string = base64_bytes.decode('ascii')
return base64_string
nonce = secrets.token_bytes(32)
base64_nonce = getBase64Nonce(nonce)
sha1_password = getSha1String(clearPassword)
password_digest = getBase64String(getSha1String(str(nonce) + created_at_timestamp_utc + sha1_password))

Your python code has 3 problems:
You're using binary output from sha1() in PHP, but hex output in python. Use digest(), not hexdigest(). This is why your output is longer in python.
Your timestamp format is incorrect.
The PHP format DATE_ATOM is "Y-m-d\TH:i:sP", where P outputs the UTC offset in the format +00:00. Unfortunately Python's strftime() doesn't seem to have an equivalent, but it's all in UTC anyway and your python code simply specifies the static string Z. So change that to +00:00, otherwise your tokens won't match.
Eg: timestamp = datetime.datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S+00:00')
You're using SECRETPASSWORD in PHP and MYSECRETPASSWORD in python, and I am emabarrased at how long I bashed my head against that one without noticing.
Succint working code:
import hashlib, datetime, base64
password = 'SECRETPASSWORD'
timestamp = '2022-01-13T18:28:52+00:00'
nonce = base64.b64decode('uqbkProhsR3JZxjC93HWW8BghQFSgqo9Sv9vGgUa4hs=')
def quickSHA(input):
return hashlib.sha1(input).digest()
def makeToken(password, timestamp, nonce):
return base64.b64encode(
quickSHA( nonce + timestamp + quickSHA(password) )
)
print makeToken(password, timestamp, nonce)
Output: /pBYmwwc2cM87CUr8oB4Wkmyc0Q=

How to add configuration setting for sasl.mechanism PLAIN (API) and GSSAPI (Kerberos) authentication in python script

Need some help to set the configuration for sasl.mechanism PLAIN (API) and GSSAPI (Kerberos) authentication.
We are using confluent Kafka here, there are two scripts, one a python script and the second one is a bash script which calls the python one. You can find the script below.
Thanks for the help in advance!
import json
import os
import string
import random
import socket
import uuid
import re
from datetime import datetime
import time
import hashlib
import math
import sys
from functools import cache
from confluent_kafka import Producer, KafkaError, KafkaException
topic_name = os.environ['TOPIC_NAME']
partition_count = int(os.environ['PARTITION_COUNT'])
message_key_template = json.loads(os.environ['KEY_TEMPLATE'])
message_value_template = json.loads(os.environ['VALUE_TEMPLATE'])
message_header_template = json.loads(os.environ['HEADER_TEMPLATE'])
bootstrap_servers = os.environ['BOOTSTRAP_SERVERS']
perf_counter_batch_size = int(os.environ.get('PERF_COUNTER_BATCH_SIZE', 100))
messages_per_aggregate = int(os.environ.get('MESSAGES_PER_AGGREGATE', 1))
max_message_count = int(os.environ.get('MAX_MESSAGE_COUNT', sys.maxsize))
def error_cb(err):
""" The error callback is used for generic client errors. These
errors are generally to be considered informational as the client will
automatically try to recover from all errors, and no extra action
is typically required by the application.
For this example however, we terminate the application if the client
is unable to connect to any broker (_ALL_BROKERS_DOWN) and on
authentication errors (_AUTHENTICATION). """
print("Client error: {}".format(err))
if err.code() == KafkaError._ALL_BROKERS_DOWN or \
err.code() == KafkaError._AUTHENTICATION:
# Any exception raised from this callback will be re-raised from the
# triggering flush() or poll() call.
raise KafkaException(err)
def acked(err, msg):
if err is not None:
print("Failed to send message: %s: %s" % (str(msg), str(err)))
producer_configs = {
'bootstrap.servers': bootstrap_servers,
'client.id': socket.gethostname(),
'error_cb': error_cb
}
# TODO: Need to support sasl.mechanism PLAIN (API) and GSSAPI (Kerberos) authentication.
# TODO: Need to support truststores for connecting to private DCs.
producer = Producer(producer_configs)
# generates a random value if it is not cached in the template_values dictionary
def get_templated_value(term, template_values):
if not term in template_values:
template_values[term] = str(uuid.uuid4())
return template_values[term]
def fill_template_value(value, template_values):
str_value = str(value)
template_regex = '{{(.+?)}}'
templated_terms = re.findall(template_regex, str_value)
for term in templated_terms:
str_value = str_value.replace(f"{{{{{term}}}}}", get_templated_value(term, template_values))
return str_value
def fill_template(template, templated_terms):
# TODO: Need to address metadata field, as it's treated as a string instead of a nested object.
return {field: fill_template_value(value, templated_terms) for field, value in template.items()}
#cache
def get_partition(lock_id):
bits = 128
bucket_size = 2**bits / partition_count
partition = (int(hashlib.md5(lock_id.encode('utf-8')).hexdigest(), 16) / bucket_size)
return math.floor(partition)
sequence_number = int(time.time() * 1000)
sequence_number = 0
message_count = 0
producing = True
start_time = time.perf_counter()
aggregate_message_counter = 0
# cache for templated term values so that they match across the different templates
templated_values = {}
try:
while producing:
sequence_number += 1
aggregate_message_counter += 1
message_count += 1
if aggregate_message_counter % messages_per_aggregate == 0:
# reset templated values
templated_values = {}
else:
for term in list(templated_values):
if term not in ['aggregateId', 'tenantId']:
del(templated_values[term])
# Fill in templated field values
message_key = fill_template(message_key_template, templated_values)
message_value = fill_template(message_value_template, templated_values)
message_header = fill_template(message_header_template, templated_values)
ts = datetime.utcnow().isoformat()[:-3]+'Z'
message_header['timestamp'] = ts
message_header['sequence_number'] = str(sequence_number)
message_value['timestamp'] = ts
message_value['sequenceNumber'] = sequence_number
lock_id = message_header['lock_id']
partition = get_partition(lock_id) # partition by lock_id, since key could be random, but a given aggregate_id should ALWAYS resolve to the same partition, regardless of key.
# Send message
producer.produce(topic_name, partition=partition, key=json.dumps(message_key), value=json.dumps(message_value), headers=message_header, callback=acked)
if sequence_number % perf_counter_batch_size == 0:
producer.flush()
end_time = time.perf_counter()
total_duration = end_time - start_time
messages_per_second=(perf_counter_batch_size/total_duration)
print(f'{messages_per_second} messages/second')
# reset start time
start_time = time.perf_counter()
if message_count >= max_message_count:
break
except Exception as e:
print(f'ERROR: %s' % e)
sys.exit(1)
finally:
producer.flush()

how can i stop microphone from listening and break process loop if no response is there from user for a given second in gcp speech to text

I am using an example given in GCP documentation and using API to convert speech to text. I need to stop the loop when the user dont response for 2 to 3 second. How can i achieve this. I didnt get any function to control it . I used time function but didnt help.
The example is in https://cloud.google.com/speech-to-text/docs/samples/speech-transcribe-streaming-mic
RATE = 16000
CHUNK = int(RATE / 10)
class MicrophoneStream(object):
"""Opens a recording stream as a generator yielding the audio chunks."""
def listen_print_loop(responses):
num_chars_printed = 0
for response in responses:
if not response.results:
continue
result = response.results[0]
if not result.alternatives:
continue
# Display the transcription of the top alternative.
transcript = result.alternatives[0].transcript
overwrite_chars = " " * (num_chars_printed - len(transcript))
if not result.is_final:
sys.stdout.write(transcript + overwrite_chars + "\r")
sys.stdout.flush()
num_chars_printed = len(transcript)
#elif time idle
else:
print(transcript + overwrite_chars)
# Exit recognition if any of the transcribed phrases could be
# one of our keywords.
if re.search(r"\b(exit|quit)\b", transcript, re.I):
print("Exiting..")
break
num_chars_printed = 0
def main():
os.environ = credentials_STT()
language_code = "en-IN"
client = speech.SpeechClient()
config = speech.RecognitionConfig(
encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=RATE,
language_code=language_code,
)
streaming_config = speech.StreamingRecognitionConfig(
config=config, interim_results=True
)
with MicrophoneStream(RATE, CHUNK) as stream:
audio_generator = stream.generator()
requests = (
speech.StreamingRecognizeRequest(audio_content=content)
for content in audio_generator)
responses = client.streaming_recognize(streaming_config, requests)
# Now, put the transcription responses to use.
listen_print_loop(responses) # function called
print("end")

Add option single_utterance = True so that when there is no speech detected, it will automatically end the recognition. But take note that this option is usually used for short statements. For more information about this option, you can check this document.
You can check the usage of it in the speech to text python reference.
Your streaming_config should look like this:
streaming_config = speech.StreamingRecognitionConfig(
config=config, interim_results=True, single_utterance=True
)

socketcan J1939 filter use in python

In Python, I am trying to use the J1939 filtering as mentionned in the linux kernel docs: https://www.kernel.org/doc/html/latest/networking/j1939.html
The following code fails at the setsockopt() line (setting up filters):
import socket
import struct
def pack_J1939_filters(can_filters):
can_filter_fmt = "=" + "2Q2B2I" * len(can_filters)
filter_data = []
for can_filter in can_filters:
name = can_filter['name']
name_mask = can_filter['name_mask']
addr = can_filter['addr']
addr_mask = can_filter['addr_mask']
pgn = can_filter['pgn']
pgn_mask = can_filter['pgn_mask']
filter_data.append(name)
filter_data.append(name_mask)
filter_data.append(addr)
filter_data.append(addr_mask)
filter_data.append(pgn)
filter_data.append(pgn_mask)
return struct.pack(can_filter_fmt, *filter_data)
s = socket.socket(socket.PF_CAN, socket.SOCK_DGRAM, socket.CAN_J1939)
interface = "vcan0"
src_name = socket.J1939_NO_NAME
src_pgn = socket.J1939_NO_PGN
src_addr = 0x81
src_sck_addr = (interface, src_name, src_pgn, src_addr)
s.bind(src_sck_addr)
filters = [{"name": 0, "name_mask":0, "addr":0, "addr_mask":0, "pgn": 0, "pgn_mask": 0}]
packed_filters = pack_J1939_filters(filters)
# socket.SOL_CAN_J1939 does not seem to exist
SOL_CAN_BASE = 100
CAN_J1939 = 7
SOL_CAN_J1939 = SOL_CAN_BASE + CAN_J1939
s.setsockopt(SOL_CAN_J1939, socket.SO_J1939_FILTER , packed_filters)
s.recvfrom(128)
s.close()
First, the kernel documentation mentions to use SOL_CAN_J1939 as the first argument. However socket.SOL_CAN_J1939 does not exist in the socket package. So looking at the code at this location I was able to understand that this int value should be 107: http://socket-can.996257.n3.nabble.com/RFC-v3-0-6-CAN-add-SAE-J1939-protocol-td7571.html
As for the setsockopt() third argument, I packed the filters to match the j1939_filter structure (26 bytes as described in the code from the previous link). This is similar to what is done in can.interfaces.socketcan.utils for raw CAN.
What am I doing wrong to cause setsockopt() to fail?

The first issue was with the struct.pack format (can_filter_fmt) being wrong. I first assumed that the kernel j1939_filter structure size was the sum of the members. This is wrong since the compiler adds padding. This can be added to the struct.pack format as x such as 2Q2I2B6x. Please see Why isn't sizeof for a struct equal to the sum of sizeof of each member?
The second issue was that can_filter_fmt is not packed as 2Q2B2I but as 2Q2I2B6x (the addr member is in the middle).
As for SOL_CAN_J1939 I was correct and needs to be created in file because it is not yet in the package.
The final code is the following:
#!/usr/bin/env python3
import socket
import struct
def pack_J1939_filters(can_filters=None):
if can_filters is None:
# Pass all messages
can_filters = [{}]
can_filter_fmt = "=" + "2Q2I2B6x" * len(can_filters)
filter_data = []
for can_filter in can_filters:
if 'name' in can_filter:
name = can_filter['name']
else:
name = 0
if 'name_mask' in can_filter:
name_mask = can_filter['name_mask']
else:
name_mask = 0
if 'pgn' in can_filter:
pgn = can_filter['pgn']
else:
pgn = 0
if 'pgn_mask' in can_filter:
pgn_mask = can_filter['pgn_mask']
else:
pgn_mask = 0
if 'addr' in can_filter:
addr = can_filter['addr']
else:
addr = 0
if 'addr_mask' in can_filter:
addr_mask = can_filter['addr_mask']
else:
addr_mask = 0
filter_data.append(name)
filter_data.append(name_mask)
filter_data.append(pgn)
filter_data.append(pgn_mask)
filter_data.append(addr)
filter_data.append(addr_mask)
return struct.pack(can_filter_fmt, *filter_data)
def print_msg(data, sck_addr):
print(f"SA:{hex(sck_addr[3])} PGN:{hex(sck_addr[2])}")
for j in range(len(data)):
if j % 8 == 0 and j != 0:
print()
if j % 8 == 0:
print(f"bytes {j} to {j+7}: ", end="")
print(f"{hex(data[j])} ", end="")
print()
print()
def main():
s = socket.socket(socket.PF_CAN, socket.SOCK_DGRAM, socket.CAN_J1939)
# allows to receive broadcast messages
s.setsockopt(socket.SOL_SOCKET, socket.SO_BROADCAST, 1)
interface = "vcan0"
src_name = socket.J1939_NO_NAME
src_pgn = socket.J1939_NO_PGN # always no PGN for source, unless filtering is needed
src_addr = 0x81 # recvfrom() will not return destination specific messages for other addresses
src_sck_addr = (interface, src_name, src_pgn, src_addr)
s.bind(src_sck_addr)
packed_filters = pack_J1939_filters()
SOL_CAN_BASE = 100
CAN_J1939 = 7
SOL_CAN_J1939 = SOL_CAN_BASE + CAN_J1939
s.setsockopt(SOL_CAN_J1939, socket.SO_J1939_FILTER , packed_filters)
(recv_data, recv_sck_addr) = s.recvfrom(128)
print_msg(recv_data, recv_sck_addr)
s.close()
if __name__ == "__main__":
main()
Thank you.

For J1939 to work with SocketCAN you need two things:
kernel 5.4+
can-j1939 kernel module enabled
Testing for can-1939:
If you install can-utils and after sudo modprobe can-j1939 all you get is fatal error, or if you start testj1939 from can-utils and you get error that protocol is not supported, then it means that can-j1939 was not enabled in your kernel and you need to compile it manually.
Here are my instructions for enabling can-j1939 in Debian 10 kernel:
https://github.com/linux-can/can-utils/blob/master/can-j1939-install-kernel-module.md