Use Aidbox with Python

Follow these steps to set up a Python project with Aidbox

To use Aidbox with Python, we recommend to use our SDK generation library . It will generate static FHIR Client and the set of types for your FHIR package. You can read about the idea of it here.

Prerequisites

Steps

  1. 1.

    Generate SDK package

    npm install -g @fhirschema/codegen
npx fscg generate -g typescript -p hl7.fhir.r4.core@4.0.1 -o aidbox --py-sdk-package aidbox --py-allow-extra-fields
  2. 2.

    Init virtual env and install dependencies:

    python3 -m venv venv
source venv/bin/activate
pip install -r aidbox/requirements.txt
  3. 3.

    Create a Client in a new main.py file:

    from typing import Any, Dict

import requests

from aidbox.client import Auth, AuthCredentials, Client
from aidbox.hl7_fhir_r4_core import (CodeableConcept, HumanName, Identifier,
                                     Observation, ObservationComponent,
                                     Patient, Quantity, Reference)

client = Client(
    base_url="http://localhost:8080/fhir",
    auth=Auth(
        method="basic",
        credentials=AuthCredentials(
            username="root",
            password="<secret>", # get actual value from docker-compose.yaml: BOX_ROOT_CLIENT_SECRET
        ),
    ),
)
  4. 4.

    Create Patient with id = "pt1" (PUT):

    patient = Patient(
    id="pt1",
    identifier=[Identifier(system="http://org.io/id", value="0000-0000")],
    name=[HumanName(given=["John"], family="Doe")],
    gender="male",
    birth_date="1990-01-01",
)

try:
    result = client.update(patient)
    print(result.model_dump_json(exclude_unset=True, exclude_none=True))
except requests.exceptions.RequestException as e:
    print("Error:", e)
    if e.response is not None:
        response_json: Dict[str, Any] = e.response.json()
        print(response_json)
  5. 5.

    Create Observation that references the Patient:

    observation = Observation(
    id="obs1",
    code=CodeableConcept(coding=[{"system": "http://loinc.org", "code": "85354-9"}]),
    status="final",
    effective_date_time="2025-07-08",
    subject=Reference(reference="Patient/pt1"),
    component=[
        ObservationComponent(
            code=CodeableConcept(
                coding=[{"system": "http://loinc.org", "code": "8480-6"}]
            ),
            value_quantity=Quantity(
                value=120,
                unit="mmHg",
                system="http://unitsofmeasure.org",
                code="mm[Hg]",
            ),
        ),
        ObservationComponent(
            code=CodeableConcept(
                coding=[{"system": "http://loinc.org", "code": "8462-4"}]
            ),
            value_quantity=Quantity(
                value=80, unit="mmHg", system="http://unitsofmeasure.org", code="mm[Hg]"
            ),
        ),
    ],
)


try:
    result = client.update(observation)
    print(result.model_dump_json(exclude_unset=True, exclude_none=True))
except requests.exceptions.RequestException as e:
    print("Error:", e)
    if e.response is not None:
        response_json: Dict[str, Any] = e.response.json()
        print(response_json)
  6. 6.

    Run the project

    python3 main.py

Next steps

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