Simplify using JSONLines files alongside dataclasses.
Project description
jldc
Simplify using JSON Lines files alongside python dataclass (PEP-557) objects, with convenient one-line reads/writes.
usage
Import the library and save/load lists of dataclasses or dictionaries with a single line.
from jldc.core import load_jsonl, save_jsonl
from dataclasses import dataclass
@dataclass
class Person:
name: str
age: int
save_jsonl("people.jsonl", [Person("Alice", 24), Person("Bob", 32)])
data = load_jsonl("people.jsonl", [Person])
print(data)
installation
Install directly from GitHub, using pip:
pip install jldc
Use the ml
extra to encode/decode the numpy.ndarray
type:
pip install jldc[ml]
development
Fork and clone the repository code:
git clone https://github.com/itsluketwist/jldc.git
Once cloned, install the package locally in a virtual environment:
python -m venv venv
. venv/bin/activate
pip install -e ".[dev,ml]"
Install and use pre-commit to ensure code is in a good state:
pre-commit install
pre-commit autoupdate
pre-commit run --all-files
testing
Run the test suite using:
pytest .
Project details
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