ovf_types
Python Pydantic v2 models for the Open Vet Format (OVF) — a FHIR-inspired JSON Schema standard for veterinary medical record exchange.
Installation
pip install ovf_types
Usage
from ovf_types import OvfDocument, Patient, Encounter
# Parse an OVF JSON document
import json
with open("export.ovf.json") as f:
data = json.load(f)
doc = OvfDocument.model_validate(data)
print(doc.patient.name)
print(doc.patient.species)
Available Models
OvfDocument— Root export documentPatient— Animal patient demographicsEncounter— Clinical visitsCondition— Diagnoses and health problemsObservation— Vital signs, lab resultsImmunization— Vaccination recordsProcedure— Surgeries, dental workAllergyIntolerance— Allergies and intolerancesMedicationStatement— Medication recordsDocumentReference— Attached documents and files
Links
Metadata
Release files for ovf-types 1.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ovf_types-1.3.3.tar.gz | 11.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ovf_types-1.3.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.7 kB
Release files / ovf_types-1.3.3.tar.gz
| Download URL | ovf_types-1.3.3.tar.gz |
|---|---|
| Size | 11.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / ovf_types-1.3.3-py3-none-any.whl
| Download URL | ovf_types-1.3.3-py3-none-any.whl |
|---|---|
| Size | 22.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
900a0cc69b3bebedda2a24fdcd606eb802233c41e7c81e919c9db7058f14f4b5
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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