log.js | super light-weight nodejs logging streaming log reader

Please update data={fullData} to data={query ? data : fullData} in flat list props. That should display your filtered data whenever search query updated.

The solution for a ManifestV2 extension, which you are writing, in short, is to open a new paypal sign-in window using chrome.windows.create and then use chrome.tabs.executeScript to inject a content script code that clicks btnLogin . Your current code does it all wrong though.

1. Remove content_scripts, tabs, and chrome://*/* from manifest.json.

2. Remove content.js from your extension and popup.html

3. Remove paypal_prelog.js

4. Create popup.js

Concurrent requests to your appendJson() method are the cause of your problem. While one web request is in progress another one comes in. You must organize access to the log file so only one concurrent access is in progress at any time.

Something like this may work if you have just one log file.

There's a fileAccessInProgress flag and a queue of items to write to the file. Each new item gets appended to the queue. Then, if file access isn't active, the contents of the queue get written out. If new items arrive while access is in progress, they get appended to the queue too.

I didn't explain why this is, how it work, because there is many resources that answer those questions.

Have a look below. To add unique keys to your blogs and comments use:

Hard to provide one answer, so here are few possible solutions. Please test each one, in next order, and comment about what works for you.

1. CI npm installation

Are you using the package standalone? It's not recommended as stated here: https://www.npmjs.com/package/apify-shared

Nevertheless, your issue seems to be that you are not passing required arguments to the library, based on the code in this case you should be calling the logger utility with one of log level strings supported by it: if (!LEVEL_TO_STRING[options.level]) throw new Error('Options "level" must be one of log.LEVELS enum!');

Hard to say what you should be doing based on the information shared but maybe you recognize you can pass in there one of the logger's levels this way: log.LEVELS.

What are you trying to achieve?

This one is not working ?

export const fetchCountries = async ({commit, dispatch}, form) => {

The FFmpeg filter expects the first input to be the encoded video stream and the 2nd input to be the reference stream.

It may be (I haven't checked) that the VMAF computation is symmetric with relation to inputs, so in effect, the order may not matter.