Fluent API to call the FHIR server that handles:
- Authentication to FHIR server
- Renewing access token when they expire
- Retry when there are transient errors
- Un-bundling the resources received from FHIR server
- Paging
- Streaming
- Logging
- Simulating a $graph call when the server does not support it
pip install helix.fhir.client.sdk
https://icanbwell.github.io/helix.fhir.client.sdk/
https://github.com/icanbwell/fhir-server-performance
- 1.x supports python 3.7+
- 2.x supports python 3.10+
- 3.x supports python 3.12+
When communicating with FHIR servers, a lot of time is spent waiting for the server to respond.
This is a good use case for using asynchronous programming.
This SDK supports asynchronous programming using the async and await keywords.
The return types are Python AsyncGenerators. Python makes it very easy to work with AsyncGenerators.
For example, if the SDK provides a function like this:
async def get_resources(self) -> AsyncGenerator[FhirGetResponse, None]:
...You can iterate over the results as they become available:
response: Optional[FhirGetResponse]
async for response in client.get_resources():
print(response.resource)Or you can get a list of responses (which will return AFTER all the responses are received:
responses: List[FhirGetResponse] = [response async for response in client.get_resources()]Or you can aggregate the responses into one response (which will return AFTER all the responses are received:
response: Optional[FhirGetResponse] = await FhirGetResponse.from_async_generator(client.get_resources())For FHIR servers that support data streaming (e.g., b.well FHIR server), you can just set the use_data_streaming parameter to stream the data as it i received.
The data will be streamed in AsyncGenerators as described above.
The FHIR client SDK natively stores the FHIR resources compressed in memory. This allows use in environments where you are processing large number of FHIR resources.