FHIR extensions for SparkAutoMapper
Project description
SparkAutoMapper.FHIR
Add custom FHIR data types to SparkAutoMapper.
Usage
pip install sparkautomapper.fhir
Example
from spark_auto_mapper.automappers.automapper import AutoMapper
from spark_auto_mapper.helpers.automapper_helpers import AutoMapperHelpers as A
mapper = AutoMapperFhir(
view="members",
source_view="patients",
keys=["member_id"]
).withResource(
resource=F.patient(
id_=A.column("a.member_id"),
birthDate=A.date(
A.column("date_of_birth")
),
name=A.list(
F.human_name(
use="usual",
family=A.column("last_name")
)
),
gender="female"
)
)
Publishing a new package
- Create a new release
- The GitHub Action should automatically kick in and publish the package
- You can see the status in the Actions tab
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for sparkautomapper.fhir-0.1.34.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | d0bbafc1839346c17f0d785cbdd96279691728e7e9005543c16ea1f55923fee1 |
|
MD5 | f5fce6e90bd7c21d6d17b80d8da17fe8 |
|
BLAKE2b-256 | f65f19267496189f7ecedf7a93807c362540d6636dde1d7ef2c2ef0370d8d86c |
Close
Hashes for sparkautomapper.fhir-0.1.34-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e7f9501806c1ab465a1a40d5fc017fe2bc75e70f7a88300411aba46279e44ed8 |
|
MD5 | 89e210e0f9a6df16df6f9dd49d95011e |
|
BLAKE2b-256 | c514d06b641b1287df0866f779278f6bd7f9697e8e0a624340d34ba370d05d27 |