Parsing JSON Is a Minefield (2016)
Some other fun facts about JSON, its mainstream implementations and using it reliably:1. json.dump(s) in Python by default emits non-standards-compliant JSON, ie. will happily serialize NaN/Inf/-Inf. You want to set allow_nan=False to be compliant. Otherwise this _will_ annoy someone who has to consume your shoddy pseudo-JSON from a standards-compliant library.2. JSON allows for duplicate/repeated keys, and allows for the parser to basically do anything when that happens. Do you know how the parser implementation you use handles this? Are you sure there's no differences between that implementation and other implementations used in your system (eg. between execution and validation)? What about other undefined behaviour, like permitted number ranges?3. Do you pass around user-provided JSON data accross your system? How many JSON nesting levels does your implementation allow? What happens if it's exceeded? What happens if different parts of your processing system have different limits? What about other unspecified limits like serialized size, string length?My general opinion is that it's extremely hard to reliably use JSON as an interchange format reliably when multiple systems and/or parser implementations are involved. It's based on a set of underdefined specifications that leaves critical behaviour undefined, effectively making it impossible to have 100% interoperable implementations. It doesn't help that one of the mainstream implementations (in Python) is just non-compliant by default.I highly encourage any greenfield project to look into well designed and better specified alternatives.