Fhan
At least Python 3.10 is required
Fhan is a small FHIR query client with a focus on performance and usability.
from fhan.client import Client
client = Client(base_url="https://demo.kodjin.com/fhir", authenticate=False)
patients = client.get("Patient", count=1)
print(patients)
Installation
To get started with Fhan, install it using pip:
pip install fhan
Basic Usage
Check out the example notebooks.
After installation, you can begin using Fhan to query FHIR resources:
from fhan.client import Client
# The server is public and does not require authentication
client = Client("https://demo.kodjin.com/fhir/Condition", authenticate=False)
Get a Resource by id:
client.get("Condition", "13b810dc-58d5-42e3-b34f-5e2454401561")
Search for resources:
client.get("Observation", search_params={"code":"249227004"}, count=20)
Authentication
For servers that require authentication:
Copy .env.example to .env.
Fill in your authentication details in the .env file.
Currently, Fhan supports a limited set of authentication methods. Contributions to expand authentication support are welcome!
Tools
- fhirmodels for python fhir objects.
- Fhir-Views to inspect FHIR Bundles.
Metadata
Release files for fhan 0.1.16
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fhan-0.1.16.tar.gz | 68.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fhan-0.1.16-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 126.6 kB
Release files / fhan-0.1.16.tar.gz
| Download URL | fhan-0.1.16.tar.gz |
|---|---|
| Size | 68.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
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Release files / fhan-0.1.16-py3-none-any.whl
| Download URL | fhan-0.1.16-py3-none-any.whl |
|---|---|
| Size | 58.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
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