jlens
JSONata for Python, with an engine written in Rust. It filters, queries and transforms JSON documents, and it can explain how a result was reached: which comparisons passed or failed, and which items a filter rejected.
pip install jlens
from jlens import Expression
expr = Expression("$sum(items[type = $kind].(price * qty))")
expr.evaluate({"items": [{"type": "a", "price": 2.5, "qty": 4}]}, {"kind": "a"}) # 10
jlens passes the official JSONata 2.2.2 test suite, and its package is typed. Wheels cover CPython 3.10 and later, and free-threaded Python 3.15 and later, on Linux, macOS and Windows. The package is in beta until jlens 1.0.
API
| Name | Purpose |
|---|---|
Expression(source) |
Compiles an expression; raises a JlensError on syntax errors |
expr.evaluate(input=None, bindings=None, **options) |
Evaluates against Python values, read as the expression reaches them; None when the result is undefined or null |
expr.evaluate_json(text=None, bindings=None, **options) |
The same with JSON text in and out |
Document(value), Document.from_json(text) |
A document converted once, for expr.evaluate_document(document, bindings=None, **options); shareable between threads |
expr.evaluate_with_audit(input=None, bindings=None, *, level, limits, **options) |
Result, audit tree and explanation; errors are reported, not raised |
expr.register_function(name, implementation, signature=None) |
Makes a Python callable available as $name to every evaluation |
Callables in the bindings are host functions too. The options are timeout (seconds),
max_depth, max_string_length, max_array_length, max_result_size, now and seed.
Errors are JlensError exceptions with the JSONata error code, plus position, start,
end, token and value; offsets count code points, like str indexes.
The full guide is the Python chapter of the jlens book.
License
MIT. The code and documentation ported or adapted from JSONata are also under the MIT license;
see LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for jlens 0.23.0
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