When I send a request from a Decentralized Application I don't want to appear metamask popup every time.
Please help me how can I avoid metamask popup every time.
You'll get confirmation every time you spend ethereum / gas.
The only way you won't get that confirmation is when you call a contract method marked as view using call() instead of send().
In this case the wallet will compute locally the result since there is no need to modify anything in the blockchain.
Related
As stated.
I'm trying to automatically use a credit payment to pay a bill.
I have the billing data ready. But I want to be able to handle the 3ds that comes after submit payment details
I thought about if its possible to handle the payment part with selenium and passing data. That way I could see that the payment is waiting for my intervention. And get the window to popup so I know I need to confirm it with the bank app countdown. From here ideally back to requests for speed
Hi everyone I would like to know how you were able to manage once the customer clicks on the paypal payment button in your Django app, I would like to know how you were able to automatically manage sending an email in his mailbox
indeed I can already manage the sending of emails automatically for a button button that I created myself but the case where I used the integration of paypal on the client side, I can't do it
If you want your server to take action when there is a payment, you should be using a server-side integration. Full stop.
Create two routes that return JSON, one for 'Create an Order' and one for 'Capture Order', documented here.
Pair your two routes with the PayPal JS for approval: https://developer.paypal.com/demo/checkout/#/pattern/server
When an order is successfully captured by your server, have your server then immediately take the desired action (send the email). This is straightforward.
I have setup a trial Programmable Voice account with Twilio. I am using a Zoiper softphone endpoint. I am attempting to have my client's server initiate a call through Twilio to a live person. I need to actually speak with the person called.
However, in using the tutorial code, Twilio's "url" parameter intercepts the call with it's own voice message:
from twilio.rest import Client
account_sid = 'Axxxx'
auth_token = 'xxxxx'
client = Client(account_sid, auth_token)
call = client.calls.create(
url='http://demo.twilio.com/docs/classic.mp3',
to='+15553334929',
from_='+18334447682'
)
print(call.sid)
The call recipient hears the the message, but we cannot speak together.
Twilio's own tutorial materials are on how to use either TwilML or the "url" parameter to have the computer automatically work with the call. However, I do not need that. I need to have two live people speak to each other once the server initiates the call through Twilio. Right now, the "url" / TwilML is just standing between the live people.
This blog shows an example that makes an outgoing call and then joins the caller into the call. See the "Start a two-user call from your App" section.
You might also want to take a look at this answer which shows another way to do this with the JS API (the principals should be easily transferable to the python API). Basically it makes two calls and joins them in a Conference.
Disclaimer: I'm not a lawyer and this is not legal advice, but I'm assuming you are familiar with TCPA and have reviewed regulations/requirements related to that. It's possible that your code initiating the outgoing call in an automated fashion (instead of an agent clicking a button manually to initiate a call) changes your level of regulatory exposure.
This is called, Call Forwarding. The article below provides all the different ways to accomplish this task
Setting Up Call Forwarding
Twilio developer evangelist here.
Welcome to StackOverflow!
You can do this with Twilio Studio. There in your dashboard, click the + button to make a new flow and call it whatever you wish.
It comes with the Trigger widget, which will initiate your flow when the trigger (in this case, an Incoming Call) is fired.
You only need one widget: the Connect Call To widget. Drag it onto the canvas and connect the dot from that initial Incoming Call trigger to the dot in the upper left corner of that new Connect Call widget. Select Single Number in the right sidebar dropdown and enter whatever number you'd like to forward calls to.
Lastly, you'll need a Twilio phone number. Purchase one in the Twilio Phone numbers section of your console.
Scroll down to the Voice & Fax section and select Webhooks, TwiML Bins, Functions, Studio, or Proxy from the initial dropdown. Next to “A Call Comes In” select Studio Flow and choose the flow you just made to connect/relate it to the number. Lastly click Save and tada! If someone calls your Twilio number you just purchased, they will route you to the number you specified in the Twilio Studio flow.
Let me know if this helps at all! :D
I have been troubled by a design question.
I want to implement a small service that looks like a mail office. It will accept clients request(in the request it has the message to deliver and destination url info). After that I will help the client to send the message to specified URL. BUT when the first trial fails(I expect a 200 with 'success' response) there is some strategy like I will continually send the message to the destination url at most 10 times. And I will wait for a certain time to send the message again. For example, I send the message immediately after I receive the request(the following looks like a delivery algorithm):
if it fails then
I will wait for 1 minutes to send it again
if it fails again then
I will wait for a longer time period(like 5 minutes) and so on
until the num of trials reaches Max(10 times).
I used to use django framework with django-cron to solve the problem. However it is not accurate for it depends on the time I set for the django-cron(the less time between the cron the better). I don't know whether there is an elegant and appropriate method to solve this kind of problem.
Thank you for your help!
My question is about real time collaboration between users in a django powered web site.
In practice what I need to know is if it's possible to implement such a system:
1) Say that all users using the web site are user1, user2, ... userN
2) Each time one of the users do something interesting notify the server and other users in order to update
the application status and the browsers ui
3) The previous point can be extended to cover not only user-triggered events but also other more general events like timeouts, or "every 5 minutes" or what ever you can imagine.
I know that browser to server and server to browser communication can be done via ajax (or something newer like web-sockets or SSE), but the part that is obscure to me is how to
notify users when a certain events occurs.
The only (bad) idea that comes to mind is to store application data to database and update it when a user do something, and at the same time have all the users polling the application status from db. But I would know if there is a way to avoid the use
of database and the polling system, in other words something like:
when event e is triggered => send to all browsers "e triggered"
Thanks in advance
I'll try to better explain my question: I would like to know how to send a response to user "Frank" when another user "John" do something. The problem isn't how the server send something to a browser but how to link john’s activity (i.e. click button, change page, fill forms) to Frank’s ui without using a database. For example think about a simple chat page, when a user type something the typed text must be pushed to all other users: in this case I don't know how to link the action "John typed something" with the action "send typed text to Frank's browser". The memcache solution sound good, but I would like to know if there is something else like a pub-sub or event system that can be used to link different users' connections.
Implement a cache (i.e. memcache) to avoid hitting the database when the Ajax call checks for changes. If you want to get fancy, look into key-based cache expiration to handle the cache invalidation.