Skip to main content

Unable to access web_accessible_resource when using extension_ids options in manifest.json

I have an MV3 extension where I have a file which I want to access via content script. I am unable to do that when I specify "extension_ids": ["myextId"] in manifest.json. However when I use "matches": ["<all_urls>"], I am able to access it. According to chrome docs

Each element must include a "resources" element and either a "matches" or "extension_ids" element.

I am getting the extension ID from extensions management page

enter image description here

Am i getting ID from the wrong place ?

Manifest.json

"web_accessible_resources": [
   {
        "resources": [
            "/sample.html",
        ],
        "extension_ids": ["liecbddmkiiihnedobmlmillhodjkdmb"]
    }
]

Error

Denying load of <URL>. Resources must be listed in the web_accessible_resources manifest key in order to be loaded by pages outside the extension.
my.com/:40 Denying load of chrome-extension://liecbddmkiiihnedobmlmillhodjkdmb/sample.html. Resources must be listed in the web_accessible_resources manifest key in order to be loaded by pages outside the extension.

Isnt the extension_Ids array supposed to contain the ids of all extensions that should be able to access it or am i understanding it wrong?

Via Active questions tagged javascript - Stack Overflow https://ift.tt/3pKPjtw

Labels

Labels:

Comments

Post a Comment

Popular posts from this blog

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...
Post a Comment
Read more

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype
Post a Comment
Read more

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