Dandelion Data Schema
The Dandelion Data Schema describes the structure of data used in the Data Validation Service provided by Dandelion Health.
Example usage
Load an example dataset into python.
import json
from dandelion_data_schema.record import Record
with open('tests/data/dataset.json', 'r') as fp:
dataset = json.load(fp)
dataset = Record.model_validate(dataset)
Distribute on pypi
python3 -m build --sdist --wheel
python3 -m twine upload --skip-existing dist/*
2 maintainers
Metadata
2 maintainers
Release files for dandelion-data-schema 1.5.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dandelion_data_schema-1.5.2.tar.gz | 11.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dandelion_data_schema-1.5.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.1 kB
Release files / dandelion_data_schema-1.5.2.tar.gz
| Download URL | dandelion_data_schema-1.5.2.tar.gz |
|---|---|
| Size | 11.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.1
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Release files / dandelion_data_schema-1.5.2-py3-none-any.whl
| Download URL | dandelion_data_schema-1.5.2-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.1
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