The source is listed as ../js/app.jsx, which is the file that our compiled and minified js was built from. You can see this file in the ‘Resources’ tab of DevTools, which is generated by Chrome from the minified js coupled with its corresponding map file.
BugReplay checks the server to see if map files exist when saving console logs, and if so, will use them to generate the correct file-name and line numbers based on the code in the original file.
If I open my local copy of js/app.jsx, the line it is complaining about is:
As you can see, the error is occurring on line 58 of the jsx file, where there’s a fairly obvious but very common problem: I’ve referred to the ‘event’ variable as ‘evnt.’
Here is the same issue, but without source map files on the server.
The error itself is still clear, but the stack trace line number is useless due to the JSX compilation and minification.
I had a conversation with an early user of BugReplay some months ago, who had a problem with our software.
‘I’m getting “Failed to attach to the network logging of the debugger” when trying to record.’
There’s a brief moment of panic when you hear this kind of thing as a developer. That error message is supposed to be a failsafe when earlier error checking didn’t catch an issue. It’s an error that is not supposed to happen.
Luckily, we had spent a good deal of time at BugReplay setting up logging for specifically this reason. I checked Google’s log console, punched in a few filters - structpayload.EventName=’ExtensionError’ - and I found logs relevant to the problem. I dug into the stack trace and found the message that the browser had reported: “The extensions gallery cannot be scripted” and the url that the error had occured on: https://chrome.google.com/webstore/category/extensions.
Google’s logging service is awesome. It’s one of those services that brings me actual joy to use because it solves problems for me. I’ve tracked down root causes of problems, analyzed performance, and seen how users are using (or not using) the web site. You get searchable and readable logs via a pretty good web interface, as well as extensive API access.
The best part of Google’s logging service is the first class structured logging support. The JSON objects you send are fully searchable by field; and Google even analyzes the log entries as they come in so will auto-complete for you: You can type err and if you have logs that define a property that matches err* it will display something like ‘event.metaInfo.errorInfo.errorName’ and you just click it. You can find entries with that field present, or missing, or equal to a specific value. There’s a million other features of the service that I haven’t dug into yet.
Because it’s logging to a central location, we’re able to keep our client side and server side logs in the same place, then view them together or separately, and because we’re logging to a remote server, we are much more careful about what and how much we log. An API call to the service can take 200ms; so even though we execute it asynchronously it is not something we want to be hammering on.
For server side errors, we spawn a goroutine to send over the log entry. For our client side errors, in our catch blocks we JSONify the exception to capture the stack trace and relevant metadata (what url the error occured on, etc) then hit an API endpoint which in turn hits the logging API endpoint.
Since we’ve started using structured logs, we’ve focused more on logging metadata: ids, urls, client ids. Knowing that we can retrieve things by those fields (say, give me any errors that have occurred on this url in the past week) encourages better practice, and discourages leaving extraneous logs (console.log(“lolwtfbbq”) ). Since it is structured we aren’t really crafting log lines in isolation. For most things we log we have an ‘event’ object with a name which indicates what we are actually logging (‘UserCreate’ for example), then we’ll attach metadata to it.
In practice, this ends up looking something like e := events.NewUserCreate(r, user). This leads us to a more consistent form than if we were just doing a log.Printf(“A new user was created from the URL %s, their id is %s, their team id is %s”,url,id,teamID).
The Go library for Google’s logging platform is unfortunately lacking on examples though the docs for other languages are more complete. Also unfortunate, the Go library is mostly auto-generated so it is not particularly user friendly. I struggled through trying to guess at why it wasn’t working from looking at the web API, looking at assorted stackoverflow questions, gave up and came back to it a few times, then finally cobbled together a working library. The result is clonable here. If you’re not on a mobile device it is also pasted below.
As for the “Failed to attach to the network logging of the debugger” bug, the next version of BugReplay’s extension had Chrome’s extension gallery page added to its preflight check blacklist, so now it correctly shows that the extension is not usable on the current page.
Log entries to Google Cloud Logging service.
// Severity: Severity of log.
// Possible values:
LevelDefault = "DEFAULT"
LevelDebug = "DEBUG"
LevelInfo = "INFO"
LevelNotice = "NOTICE"
LevelWarning = "WARNING"
LevelError = "ERROR"
LevelCritical = "CRITICAL"
LevelAlert = "ALERT"
LevelEmergency = "EMERGENCY"
//CloudLogger will write structured logs to the cloud.