Skip to main content

Shopify Checkout Ui Extension Unable To Get address From ShippingAddress (API) Method Using Javascript

Need a function built that block checkout if it's an International Order with a PO Box.

For international orders Shopify populates DHL Express as a shipping name.

IF DHL Express and Address = PO Box in this condition we need to Block Progress of checkout.

How to get the ShippingAddress using API in JavaScript code? First I need to get the address after that am going to validate if address have PO Box.

Am not using react, am using the JavaScript. It seems there is no proper example for using the Ui Extension API with JavaScript.

Here is my code. I am new to using the app with extension and I am not sure my code is correct.

import {
extension,
} from "@shopify/ui-extensions/checkout";
// Set the entry point for the extension
export default extension("purchase.checkout.delivery-address.render-before", renderApp);

function renderApp(root, api, { extension, buyerJourney }) {

const address = api.shippingAddress();

// Use the `buyerJourney` intercept to conditionally block checkout progress
buyerJourney.intercept(({ canBlockProgress }) => {

if (canBlockProgress && address?.address1 && address.address1.length > 30 ) {
console.log(address);
console.log(address.city);
return {
behavior: "block",
reason: `Invalid shipping country`,
errors: [
{
// Show a validation error on the page
message: "Please keep your input under 30 characters.",
target: '$.cart.deliveryGroups[0].deliveryAddress.address1',
},
],
};
}
return {
behavior: "allow",      
};
});
}

Am not getting any answer, It may be error.

Via Active questions tagged javascript - Stack Overflow https://ift.tt/LXRVqZm

Labels

Labels:

Comments

Post a Comment

Popular posts from this blog

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...
Post a Comment
Read more

Sorting large arrays of big numeric stings

I was solving bigSorting() problem from hackerrank: Consider an array of numeric strings where each string is a positive number with anywhere from to digits. Sort the array's elements in non-decreasing, or ascending order of their integer values and return the sorted array. I know it works as follows: def bigSorting(unsorted): return sorted(unsorted, key=int) But I didnt guess this approach earlier. Initially I tried below: def bigSorting(unsorted): int_unsorted = [int(i) for i in unsorted] int_sorted = sorted(int_unsorted) return [str(i) for i in int_sorted] However, for some of the test cases, it was showing time limit exceeded. Why is it so? PS: I dont know exactly what those test cases were as hacker rank does not reveal all test cases. source https://stackoverflow.com/questions/73007397/sorting-large-arrays-of-big-numeric-stings
Post a Comment
Read more

How to load Javascript with imported modules?

I am trying to import modules from tensorflowjs, and below is my code. test.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Document</title </head> <body> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js"></script> <script type="module" src="./test.js"></script> </body> </html> test.js import * as tf from "./node_modules/@tensorflow/tfjs"; import {loadGraphModel} from "./node_modules/@tensorflow/tfjs-converter"; const MODEL_URL = './model.json'; const model = await loadGraphModel(MODEL_URL); const cat = document.getElementById('cat'); model.execute(tf.browser.fromPixels(cat)); Besides, I run the server using python -m http.server in my command prompt(Windows 10), and this is the error prompt in the console log of my browser: Failed to loa...
Post a Comment
Read more