Convert JSON Schemas to Pydantic models
Project description
jsonschema-pydantic
Simple transform of jsonschema to pydantic models.
Supported jsonschema features
- primitive types
- objects
- arrays
- nested objects
- optional fields
- default values
Install
pip install jsonschema-pydantic
Usage
from jsonschema_pydantic import jsonschema_to_pydantic
jsonschema = {
"type": "object",
"properties": {
"name": {"type": "string"},
"age": {"type": "integer"},
},
"required": ["name"],
}
pydantic_model = jsonschema_to_pydantic(jsonschema)
Development
Run pytest test suite:
make test
Linting
Run all linters
make lint
Formatting
Format python code:
make fmt
Documentation
Generate documentation:
make docs
Contributions
Read the CONTRIBUTING.md file.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file jsonschema_pydantic-0.6.tar.gz
.
File metadata
- Download URL: jsonschema_pydantic-0.6.tar.gz
- Upload date:
- Size: 6.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.12.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6069a8929a333a7c7ea8510e9de50f062e747e655e6ba106da5af1981f995270 |
|
MD5 | 07df896d975ad3d48fa34776cb9350f1 |
|
BLAKE2b-256 | d43e088097e87f6b24b162cd42b090b1d3891b68e9dac96ceeac8ed5dff94db7 |
File details
Details for the file jsonschema_pydantic-0.6-py3-none-any.whl
.
File metadata
- Download URL: jsonschema_pydantic-0.6-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.12.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 98385ed53ab87598665956b43756746350e2b60411a38381231f9703d36e40eb |
|
MD5 | cb347b6c5c86b1b96b856ee41aaf0aea |
|
BLAKE2b-256 | e767cbb63be985519b51d13499e726db2c960069588d5c2c479859856158b4de |