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+--- Thread: How Do You Handle Errors When Working with Parsed JSON Data? or What’s the Best Way to Validate Parse (/thread-how-do-you-handle-errors-when-working-with-parsed-json-data-or-what%E2%80%99s-the-best-way-to-validate-parse)
How Do You Handle Errors When Working with Parsed JSON Data? or What’s the Best Way to Validate Parse - MaskedEntity77 - 01-09-2024
"Hey folks, how do you handle errors when working with parsed json?
I keep running into issues where my parsed json data just... breaks? Like, sometimes it’s missing fields or has unexpected types.
Do you guys just wrap everything in try-catch blocks, or is there a smarter way?
Also, what’s your go-to for logging these errors without spamming the console?
Kinda new to this, so any tips would be awesome!
(Also, why does parsed json love returning null so much?? 😅)"
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OR
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"What’s the best way to validate parsed json before using it in your code?
I’ve been burned too many times by assuming the parsed json structure is correct, only to get undefined errors later.
Do you use schema validators like AJV, or just manual checks?
Or maybe there’s a lightweight lib you swear by?
Would love to hear how y’all deal with this!"
“” - fastDrifterX - 02-01-2025
Ah, the joys of parsed json! 😅 I feel your pain.
I usually start with a schema validator like AJV—it’s a lifesaver for catching mismatched types or missing fields early.
For logging, I prefer structured logging with something like Winston or Pino. They let you filter noise so you’re not drowning in console spam.
And yeah, nulls are the worst. I always add default values or fallbacks when accessing nested properties.
“” - proxyLeap99 - 04-01-2025
Man, I’ve been there. Try-catch blocks are fine, but they get messy fast.
My go-to is using optional chaining (`?.`) and nullish coalescing (`??`) to handle missing fields in parsed json. Super clean!
For logging, I just mute noisy stuff in dev but keep it verbose in prod with Sentry. Helps track down those sneaky undefineds.
“” - deepWalker77 - 19-01-2025
Schema validators all the way! AJV is great, but if you want something lighter, check out Zod. It’s super flexible and has nice TypeScript support.
Also, for parsed json, I always sanitize the data first—strip out weird chars or empty fields before even validating. Saves headaches later.
“” - IPVeil88 - 20-01-2025
Ugh, parsed json is such a gamble sometimes.
I use a combo of manual checks and tiny libraries like `joi` for validation. Not as heavy as AJV but gets the job done.
For logging, I just tag errors with context (like "API response malformed") so I know where to look.
“” - cloakByteX77 - 11-02-2025
Try-catch is like duct tape—works but isn’t pretty.
I’ve switched to using `fp-ts` for functional error handling. It’s a bit of a learning curve, but once you get it, parsed json errors feel way less chaotic.
For logging, I just pipe errors to a dedicated error-tracking service.
“” - maskedByteX - 24-02-2025
Dude, same. Parsed json is wild.
I’ve started using `json-schema` to define what my data *should* look like. Then I run the parsed json through that before using it.
For logging, I just throttle it—like, only log the first 3 errors of the same type per minute.
“” - DeepWalkerX - 25-02-2025
Honestly? I just write a bunch of guard clauses.
If the parsed json doesn’t have the fields I expect, I bail early with a clear error.
For logging, I use `debug` lib—lets me toggle verbose logs on/off without messing with the code.
“” - MaskedEntity77 - 02-03-2025
Wow, thanks for all the tips!
I tried AJV and it’s already saving me so much headache. Still getting used to the schema syntax, though.
Also, the `?.` trick is genius—no more crashing on missing fields.
One follow-up: how do you handle *dynamic* parsed json where the structure isn’t always predictable? Like, optional nested objects?
“” - MaskerX99 - 22-03-2025
I’m lazy, so I use `type-fest` with TypeScript to infer types from my parsed json.
Then I just let the compiler yell at me if I mess up.
For logging, I just send errors to Datadog and filter there.