Hello Guys!
It’s time to share another installment of fun & exciting posts from the world of Python-verse.
Today, We’ll be leveraging the Twilio voice API to send custom messages through phone calls directly. This service is beneficial on many occasions, including alerting the customer of potential payment reminders to pending product delivery calls to warehouse managers.
Dependent Packages:
Let us explore what packages we need for this –
The commands for your reference –
pip install twilio pip install pandas
Also, you need to subscribe/register in Twilio. I’ve already shown you what to do about that. You can refer to my old post to know more about it. However, you need to reserve one phone number from which you will be calling your customers.
As you can see, I’ve reserved one phone number to demonstrate this use case.
Let us explore the key codebase –
- clsVoiceAPI.py (Main class invoking the voice API)
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| ############################################## | |
| #### Written By: SATYAKI DE #### | |
| #### Written On: 30-Mar-2021 #### | |
| #### Modified On 30-Mar-2021 #### | |
| #### #### | |
| #### Objective: Calling Twilio Voice API #### | |
| ############################################## | |
| import json | |
| from clsConfig import clsConfig as cf | |
| import logging | |
| import os | |
| from twilio.rest import Client | |
| class clsVoiceAPI: | |
| def __init__(self): | |
| self.account_sid = cf.conf['TWILIO_ACCOUNT_SID'] | |
| self.auth_token = cf.conf['TWILIO_AUTH_TOKEN'] | |
| self.from_phone = cf.conf['FROM_PHONE'] | |
| self.to_phone = cf.conf['TO_PHONE'] | |
| def sendCall(self, msg): | |
| try: | |
| account_sid = self.account_sid | |
| auth_token = self.auth_token | |
| from_phone = self.from_phone | |
| to_phone = self.to_phone | |
| client = Client(account_sid, auth_token) | |
| call = client.calls.create( | |
| twiml='<Response><Say>' + str(msg) + '</Say></Response>', | |
| to=str(from_phone), | |
| from_=str(to_phone) | |
| ) | |
| resTokenOutput = call.sid | |
| print('Final Respone: ' + str(resTokenOutput)) | |
| resToken = 0 | |
| return resToken | |
| except Exception as e: | |
| x = str(e) | |
| resToken = 1 | |
| print(x) | |
| logging.info(x) | |
| return resToken |
Key snippets from the above codebase –
call = client.calls.create(
twiml='<Response><Say>' + str(msg) + '</Say></Response>',
to='+18048048844',
from_='+19999990396'
)
We’re invoking the Twilio API in the above block by giving both the calling & Callee numbers. And, we’re receiving the desired messages from our primary calling program, which the IVR will spell while calling to the customers.
2. callTwilioVoice.py (Main calling script)
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| ######################################################### | |
| #### Written By: SATYAKI DE #### | |
| #### Written On: 06-Mar-2021 #### | |
| #### Modified On 07-Mar-2021 #### | |
| #### #### | |
| #### Objective: Main calling scripts – #### | |
| #### This Python script will consume an #### | |
| #### source API data from Azure-Cloud & publish the #### | |
| #### data into an Oracle Streaming platform, #### | |
| #### which is compatible with Kafka. Later, another #### | |
| #### consumer app will read the data from the stream.#### | |
| ######################################################### | |
| from clsConfig import clsConfig as cf | |
| import clsL as cl | |
| import logging | |
| import datetime | |
| import clsVoiceAPI as ca | |
| # Disbling Warning | |
| def warn(*args, **kwargs): | |
| pass | |
| import warnings | |
| warnings.warn = warn | |
| # Lookup functions from | |
| # Azure cloud SQL DB | |
| var = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S") | |
| def main(): | |
| try: | |
| # Declared Variable | |
| ret_1 = 0 | |
| debug_ind = 'Y' | |
| res_2 = '' | |
| # Defining Generic Log File | |
| general_log_path = str(cf.conf['LOG_PATH']) | |
| # Enabling Logging Info | |
| logging.basicConfig(filename=general_log_path + 'TwillioAPICall.log', level=logging.INFO) | |
| # Initiating Log Class | |
| l = cl.clsL() | |
| # Moving previous day log files to archive directory | |
| log_dir = cf.conf['LOG_PATH'] | |
| tmpR0 = "*" * 157 | |
| logging.info(tmpR0) | |
| tmpR9 = 'Start Time: ' + str(var) | |
| logging.info(tmpR9) | |
| logging.info(tmpR0) | |
| print() | |
| print("Log Directory::", log_dir) | |
| tmpR1 = 'Log Directory::' + log_dir | |
| logging.info(tmpR1) | |
| print('Welcome to the Twilio Voice Calling Program: ') | |
| print('*' * 160) | |
| print() | |
| # Provide a short input text for calls | |
| voiceCallText = 'Voice From Satyaki, Welcome to the Python World!' | |
| # Create the instance of the Twilio Voice API Class | |
| x1 = ca.clsVoiceAPI() | |
| # Let's pass this to our map section | |
| resSID = x1.sendCall(voiceCallText) | |
| if resSID == 0: | |
| print('Successfully send Audio Message!') | |
| else: | |
| print('Failed to send Audio Message!') | |
| print() | |
| print('Finished Sending Automated Calls..') | |
| print("*" * 160) | |
| logging.info('FFinished Sending Automated Calls..') | |
| logging.info(tmpR0) | |
| tmpR10 = 'End Time: ' + str(var) | |
| logging.info(tmpR10) | |
| logging.info(tmpR0) | |
| except ValueError as e: | |
| print(str(e)) | |
| print("Invalid option!") | |
| logging.info("Invalid option!") | |
| except Exception as e: | |
| print("Top level Error: args:{0}, message{1}".format(e.args, e.message)) | |
| if __name__ == "__main__": | |
| main() |
Key snippets from the above codebase –
# Create the instance of the Twilio Voice API Class
x1 = ca.clsVoiceAPI()
# Let's pass this to our map section
resSID = x1.sendCall(voiceCallText)
As you can see, we’re first instantiating the class & then calling the method from it by providing the appropriate messages that will eventually deliver to our customer. You can configure dynamic content & pass it to this class.
Let us explore the directory structure –
Let us see how it runs –
You need to make sure that you are checking your balance of your Twilio account diligently.
And, here is the sneak peak of how it looks like in an video –
For more information on IVR, please check the following link.
Please find the git details in this link.
So, finally, we have done it.
I’ll bring some more exciting topic in the coming days from the Python verse.
Till then, Happy Avenging! 😀
Note: All the data & scenario posted here are representational data & scenarios & available over the internet & for educational purpose only.
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