This simple package can be used to repair a broken json file. To know all cases in which this package will work, check out the unit test.

Inspired by https://github.com/josdejong/jsonrepair

Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content.

I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any.

So I wrote one

from json_repair import repair_json

good_json_string = repair_json(bad_json_string)
# If the string was super broken this will return an empty string

You can use this library to completely replace json.loads():

import json_repair

decoded_object = json_repair.loads(json_string)

or just

import json_repair

decoded_object = json_repair.repair_json(json_string, return_objects=True)

If you find this library too slow because is using json.loads() you can skip that by passing skip_json_loads=True to repair_json. Like:

from json_repair import repair_json

good_json_string = repair_json(bad_json_string, skip_json_loads=True)

I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack.

Some rules of thumb to use:

• Setting return_objects=True will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON
• skip_json_loads is faster only if you 100% know that the string is not a valid JSON
• If you are having issues with escaping pass the string as raw string like: r"string with escaping\""

Please pin this library only on the major version!

We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your requirements.txt, specify the package name followed by the major version and a wildcard for minor and patch versions. For example:

json_repair==0.*

In this example, any version that starts with 0. will be acceptable, allowing for updates on minor and patch versions.

This module will parse the JSON file following the BNF definition:

<json> ::= <primitive> | <container>

<primitive> ::= <number> | <string> | <boolean>
; Where:
; <number> is a valid real number expressed in one of a number of given formats
; <string> is a string of valid characters enclosed in quotes
; <boolean> is one of the literal strings 'true', 'false', or 'null' (unquoted)

<container> ::= <object> | <array>
<array> ::= '[' [ <json> *(', ' <json>) ] ']' ; A sequence of JSON values separated by commas
<object> ::= '{' [ <member> *(', ' <member>) ] '}' ; A sequence of 'members'
<member> ::= <string> ': ' <json> ; A pair consisting of a name, and a JSON value

If something is wrong (a missing parantheses or quotes for example) it will use a few simple heuristics to fix the JSON string:

• Add the missing parentheses if the parser believes that the array or object should be closed
• Quote strings or add missing single quotes
• Adjust whitespaces and remove line breaks

I am sure some corner cases will be missing, if you have examples please open an issue or even better push a PR

Just create a virtual environment with requirements.txt, the setup uses pre-commit to make sure all tests are run.

Make sure that the Github Actions running after pushing a new commit don't fail as well.

You will need owner access to this repository

• Edit pyproject.toml and update the version number appropriately using semver notation
• Commit and push all changes to the repository before continuing or the next steps will fail
• Run python -m build
• Create a new release in Github, making sure to tag all the issues solved and contributors. Create the new tag, same as the one in the build configuration
• Once the release is created, a new Github Actions workflow will start to publish on Pypi, make sure it didn't fail

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