FHIR® Resources (R5, R4B, STU3, DSTU2)

FHIR (Fast Healthcare Interoperability Resources) is a specification for exchanging healthcare information electronically. It is designed to facilitate the exchange of data between different healthcare systems and applications, and is commonly used to build APIs (Application Programming Interfaces) for healthcare data. It is based on modern web technologies, and is designed to be easy to use and implement. It uses a modular approach, with a set of "resources" that represent different types of healthcare data (such as patients, observations, and diagnoses). These resources can be combined and extended as needed to support a wide range of healthcare use cases.

This "fhir.resources" package is powered by pydantic so faster in performance and optionally orjson support has been included as a performance booster! Obviously it is written in modern python and has data validation built-in. It provides tools and classes for all of the FHIR Resources defined in the FHIR specification, and allows you to create and manipulate FHIR resources in Python. You can then use these resources to build FHIR-based APIs or to work with FHIR data in other ways.

• Easy to construct, easy to extended validation, easy to export.
• By inheriting behaviour from pydantic, compatible with ORM.
• Full support of FHIR® Extensibility for Primitive Data Types are available.
• Previous release of FHIR® Resources are available.
• Free software: BSD license

Experimental XML and YAML serialization and deserialization supports. See [Advanced Usages] section!

FHIR® Version Info

FHIR® (Release R5, version 5.0.0) is available as default. Also previous versions are available as Python sub-package (each release name string becomes sub-package name, i.e R4B ). From fhir.resources version 7.0.0; there is no FHIR R4 instead of R4B is available as sub-package.

Available Previous Versions:

• R4B (4.3.0)
• STU3 (3.0.2)
• DSTU2 (1.0.2) [see issue#13][don't have full tests coverage]

Installation

Just a simple pip install fhir.resources or easy_install fhir.resources is enough. But if you want development version, just clone from and pip install -e .[dev].

Usages

Example: 1: This example creates a new Organization resource with some of its attributes (id, active, name, address):

>>> from fhir.resources.organization import Organization
>>> from fhir.resources.address import Address
>>> data = {
...     "id": "f001",
...     "active": True,
...     "name": "Acme Corporation",
...     "address": [{"country": "Switzerland"}]
... }
>>> org = Organization(**data)
>>> org.resource_type == "Organization"
True
>>> isinstance(org.address[0], Address)
True
>>> org.address[0].country == "Switzerland"
True
>>> org.dict()['active'] is True
True

Example: 2: This example creates a new Organization resource from json string:

>>> from fhir.resources.organization import Organization
>>> from fhir.resources.address import Address
>>> json_str = '''{"resourceType": "Organization",
...     "id": "f001",
...     "active": True,
...     "name": "Acme Corporation",
...     "address": [{"country": "Switzerland"}]
... }'''
>>> org = Organization.parse_raw(json_str)
>>> isinstance(org.address[0], Address)
True
>>> org.address[0].country == "Switzerland"
True
>>> org.dict()['active'] is True
True

Example: 3: This example creates a new Patient resource from json object(py dict):

>>> from fhir.resources.patient import Patient
>>> from fhir.resources.humanname import HumanName
>>> from datetime import date
>>> json_obj = {"resourceType": "Patient",
...     "id": "p001",
...     "active": True,
...     "name": [
...         {"text": "Adam Smith"}
...      ],
...     "birthDate": "1985-06-12"
... }
>>> pat = Patient.parse_obj(json_obj)
>>> isinstance(pat.name[0], HumanName)
True
>>> pat.birthDate == date(year=1985, month=6, day=12)
True
>>> pat.active is True
True

Example: 4: This example creates a new Patient resource from json file:

>>> from fhir.resources.patient import Patient
>>> import os
>>> import pathlib
>>> filename = pathlib.Path("foo/bar.json")
>>> pat = Patient.parse_file(filename)
>>> pat.resource_type == "Patient"
True

Example: 5: This example creates a new Organization resource in python way:

>>> from fhir.resources.organization import Organization
>>> from fhir.resources.address import Address
>>> json_obj = {"resourceType": "Organization",
...     "id": "f001",
...     "active": True,
...     "name": "Acme Corporation",
...     "address": [{"country": "Switzerland"}]
... }

>>> org = Organization.construct()
>>> org.id = "f001"
>>> org.active = True
>>> org.name = "Acme Corporation"
>>> org.address = list()
>>> address = Address.construct()
>>> address.country = "Switzerland"
>>> org.address.append(address)
>>> org.dict() == json_obj
True

Example: 4: This example creates a new Organization resource using Resource Factory Function:

>>> from fhir.resources import construct_fhir_element
>>> json_dict = {"resourceType": "Organization",
...     "id": "mmanu",
...     "active": True,
...     "name": "Acme Corporation",
...     "address": [{"country": "Switzerland"}]
... }
>>> org = construct_fhir_element('Organization', json_dict)
>>> org.address[0].country == "Switzerland"
True
>>> org.dict()['active'] is True
True

Example: 5: Auto validation while providing wrong datatype:

>>> try:
...     org = Organization({"id": "fmk", "address": ["i am wrong type"]})
...     raise AssertionError("Code should not come here")
... except ValueError:
...     pass

Advanced Usages

FHIR Comments (JSON)

It is possible to add comments inside json like xml, but need to follow some convention, what is suggested by Grahame Grieve; is implemented here.

Also it is possible to generate json string output without comments.

Examples:

>>> observation_str = b"""{
...  "resourceType": "Observation",
...  "id": "f001",
...    "fhir_comments": [
...      "   a specimen identifier - e.g. assigned when the specimen was taken by the orderer/placer  use the accession number for the filling lab   ",
...      "  Placer ID  "
...    ],
...  "text": {
...      "fhir_comments": [
...      "   a specimen identifier - e.g. assigned when the specimen was taken by the orderer/placer  use the accession number for the filling lab   ",
...      "  Placer ID  "
...    ],
...    "status": "generated",
...    "div": "<div xmlns="\&quot;http://www.w3.org/1999/xhtml\&quot;">.........</div>"
...  },
...  "identifier": [
...    {
...      "use": "official",
...      "system": "http://www.bmc.nl/zorgportal/identifiers/observations",
...      "value": "6323"
...    }
...  ],
...  "status": "final",
...  "_status": {
...      "fhir_comments": [
...            "  EH: Note to balloters  - lots of choices for whole blood I chose this.  "
...          ]
...  },
...  "code": {
...    "coding": [
...      {
...        "system": "http://loinc.org",
...        "code": "15074-8",
...        "display": "Glucose [Moles/volume] in Blood"
...      }
...    ]
...  },
...  "subject": {
...    "reference": "Patient/f001",
...    "display": "P. van de Heuvel"
...  },
...  "effectivePeriod": {
...    "start": "2013-04-02T09:30:10+01:00"
...  },
...  "issued": "2013-04-03T15:30:10+01:00",
...  "performer": [
...    {
...      "reference": "Practitioner/f005",
...      "display": "A. Langeveld"
...    }
...  ],
...  "valueQuantity": {
...    "value": 6.3,
...    "unit": "mmol/l",
...    "system": "http://unitsofmeasure.org",
...    "code": "mmol/L"
...  },
...  "interpretation": [
...    {
...      "coding": [
...        {
...          "system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
...          "code": "H",
...          "display": "High"
...        }
...      ]
...    }
...  ],
...  "referenceRange": [
...    {
...      "low": {
...        "value": 3.1,
...        "unit": "mmol/l",
...        "system": "http://unitsofmeasure.org",
...        "code": "mmol/L"
...      },
...      "high": {
...        "value": 6.2,
...        "unit": "mmol/l",
...        "system": "http://unitsofmeasure.org",
...        "code": "mmol/L"
...      }
...    }
...  ]
... }"""
&gt;&gt;&gt; from fhir.resources.observation import Observation
&gt;&gt;&gt; obj = Observation.parse_raw(observation_str)
&gt;&gt;&gt; "fhir_comments" in obj.json()
&gt;&gt;&gt; # Test comments filtering
&gt;&gt;&gt; "fhir_comments" not in obj.json(exclude_comments=True)

Special Case: Missing data

In some cases, implementers might find that they do not have appropriate data for an element with minimum cardinality = 1. In this case, the element must be present, but unless the resource or a profile on it has made the actual value of the primitive data type mandatory, it is possible to provide an extension that explains why the primitive value is not present. Example (required intent element is missing but still valid because of extension):

>>> json_str = b"""{
...    "resourceType": "MedicationRequest",
...    "id": "1620518",
...    "meta": {
...        "versionId": "1",
...        "lastUpdated": "2020-10-27T11:04:42.215+00:00",
...        "source": "#z072VeAlQWM94jpc",
...        "tag": [
...            {
...                "system": "http://www.alpha.alp/use-case",
...                "code": "EX20"
...            }
...        ]
...    },
...    "status": "completed",
...    "_intent": {
...        "extension": [
...            {
...                "url": "http://hl7.org/fhir/StructureDefinition/data-absent-reason",
...                "valueCode": "unknown"
...            }
...        ]
...    },
...    "medicationReference": {
...        "reference": "Medication/1620516",
...        "display": "Erythromycin 250 MG Oral Tablet"
...    },
...    "subject": {
...        "reference": "Patient/1620472"
...    },
...    "encounter": {
...        "reference": "Encounter/1620506",
...        "display": "Follow up encounter"
...    },
...    "authoredOn": "2018-06-16",
...    "requester": {
...        "reference": "Practitioner/1620502",
...        "display": "Dr. Harold Hippocrates"
...    },
...    "reasonReference": [
...        {
...            "reference": "Condition/1620514",
...            "display": "Otitis Media"
...        }
...    ],
...    "dosageInstruction": [
...        {
...            "text": "250 mg 4 times per day for 10 days",
...            "timing": {
...                "repeat": {
...                    "boundsDuration": {
...                        "value": 10,
...                        "unit": "day",
...                        "system": "http://unitsofmeasure.org",
...                        "code": "d"
...                    },
...                    "frequency": 4,
...                    "period": 1,
...                    "periodUnit": "d"
...                }
...            },
...            "doseAndRate": [
...                {
...                    "doseQuantity": {
...                        "value": 250,
...                        "unit": "mg",
...                        "system": "http://unitsofmeasure.org",
...                        "code": "mg"
...                    }
...                }
...            ]
...        }
...    ],
...    "priorPrescription": {
...        "reference": "MedicationRequest/1620517",
...        "display": "Amoxicillin prescription"
...    }
... }"""
>>> from fhir.resources.medicationrequest import MedicationRequest
>>> obj = MedicationRequest.parse_raw(json_str)
>>> "intent" not in obj.dict()

Custom Validators

fhir.resources is providing the extensive API to create and attach custom validator into any model. See more about root validator Some convention you have to follow though, while creating a root validator.

1. Number of arguments are fixed, as well as names are also. i.e (cls, values).
2. Should return values, unless any exception need to be raised.
3. Validator should be attached only one time for individual Model. Update [from now, it's not possible to attach multiple time same name validator on same class]

Example 1: Validator for Patient:

from typing import Dict
from fhir.resources.patient import Patient

import datetime

def validate_birthdate(cls, values: Dict):
    if not values:
        return values
    if "birthDate" not in values:
        raise ValueError("Patient's ``birthDate`` is required.")

    minimum_date = datetime.date(2002, 1, 1)
    if values["birthDate"] > minimum_date:
        raise ValueError("Minimum 18 years patient is allowed to use this system.")
    return values
# we want this validator to execute after data evaluating by individual field validators.
Patient.add_root_validator(validate_gender, pre=False)

Example 2: Validator for Patient from Validator Class:

from typing import Dict
from fhir.resources.patient import Patient

import datetime

class MyValidator:
    @classmethod
    def validate_birthdate(cls, values: Dict):
        if not values:
            return values
        if "birthDate" not in values:
            raise ValueError("Patient's ``birthDate`` is required.")

        minimum_date = datetime.date(2002, 1, 1)
        if values["birthDate"] > minimum_date:
            raise ValueError("Minimum 18 years patient is allowed to use this system.")
        return values
# we want this validator to execute after data evaluating by individual field validators.
Patient.add_root_validator(MyValidator.validate_gender, pre=False)

important notes It is possible add root validator into any base class like DomainResource. In this case you have to make sure root validator is attached before any import of derived class, other than validator will not trigger for successor class (if imported before) by nature.

ENUM Validator

fhir.resources is providing API for enum constraint for each field (where applicable), but it-self doesn't enforce enum based validation! see discussion here. If you want to enforce enum constraint, you have to create a validator for that.

Example: Gender Enum:

from typing import Dict
from fhir.resources.patient import Patient

def validate_gender(cls, values: Dict):
    if not values:
        return values
    enums = cls.__fields__["gender"].field_info.extra["enum_values"]
    if "gender" in values and values["gender"] not in enums:
        raise ValueError("write your message")
    return values

Patient.add_root_validator(validate_gender, pre=True)

Reference Validator

fhir.resources is also providing enum like list of permitted resource types through field property enum_reference_types. You can get that list by following above (Enum) approaches resource_types = cls.__fields__["managingOrganization"].field_info.extra["enum_reference_types"]

Usages of orjson

orjson is one of the fastest Python library for JSON and is more correct than the standard json library (according to their docs). Good news is that fhir.resource has an extensive support for orjson and it's too easy to enable it automatically. What you need to do, just make orjson as your project dependency!

pydantic Field Type Support

All available fhir resources (types) can be use as pydantic's Field's value types. See issue#46 Support for FastAPI pydantic response models. The module fhirtypes.py contains all fhir resources related types and should trigger validator automatically.

Resource.id aka fhirtypes.Id constraint extensibility

There are a lots of discussion here here i.) ii.) about the length of Resource.Id's value. Based on those discussions, we recommend that keep your Resource.Id size within 64 letters (for the seek of intercompatibility with third party system), but we are also providing freedom about the length of Id, in respect with others opinion that 64 chr length is not sufficient. fhirtypes.Id.configure_constraints() is offering to customize as your own requirement.

Examples::
>>> from fhir.resources.fhirtypes import Id >>> Id.configure_constraints(min_length=16, max_length=128)

Note: when you will change that behaviour, that would impact into your whole project.

XML Supports

Along side with JSON string export, it is possible to export as XML string! Before using this feature, make sure associated dependent library is installed. Use fhir.resources[xml] or fhir.resources[all] as your project requirements.

XML schema validator! It is possible to provide custom xmlparser, during load from file or string, meaning that you can validate data against FHIR xml schema(and/or your custom schema).

Example-1 Export::
>>> from fhir.resources.patient import Patient >>> data = {"active": True, "gender": "male", "birthDate": "2000-09-18", "name": [{"text": "Primal Kons"}]} >>> patient_obj = Patient(**data) >>> xml_str = patient_obj.xml(pretty_print=True) >>> print(xml_str) <?xml version='1.0' encoding='utf-8'?> <Patient xmlns=""> <active value="true"/> <name> <text value="Primal Kons"/> </name> <gender value="male"/> <birthDate value="2000-09-18"/> </Patient>

Example-2 Import from string::
>>> from fhir.resources.patient import Patient >>> data = {"active": True, "gender": "male", "birthDate": "2000-09-18", "name": [{"text": "Primal Kons"}]} >>> patient_obj = Patient(**data) >>> xml_str = patient_obj.xml(pretty_print=True) >>> print(xml_str) >>> data = b"""<?xml version='1.0' encoding='utf-8'?> ... <Patient xmlns=""> ... <active value="true"/> ... <name> ... <text value="Primal Kons"/> ... </name> ... <gender value="male"/> ... <birthDate value="2000-09-18"/> ... </Patient>""" >>> patient = Patient.parse_raw(data, content_type="text/xml") >>> print(patient.json(indent=2)) { "resourceType": "Patient", "active": true, "name": [ { "text": "Primal Kons", "family": "Kons", "given": [ "Primal" ] } ], "gender": "male", "birthDate": "2000-09-18" }

>>> with xml parser >>> import lxml >>> schema = lxml.etree.XMLSchema(file=str(FHIR_XSD_DIR / "patient.xsd")) >>> xmlparser = lxml.etree.XMLParser(schema=schema) >>> patient2 = Patient.parse_raw(data, content_type="text/xml", xmlparser=xmlparser) >>> patient2 == patient True

Example-3 Import from file::
>>> patient3 = Patient.parse_file("Patient.xml") >>> patient3 == patient and patient3 == patient2 True

XML FAQ

> - Although generated XML is validated against FHIR/patient.xsd and > FHIR/observation.xsd in tests, but we suggest you check output > of your production data. > - Comment feature is included, but we recommend you check in your > complex usages.

YAML Supports

Although there is no official support for YAML documented in FHIR specification, but as an experimental feature, we add this support. Now it is possible export/import YAML strings. Before using this feature, make sure associated dependent library is installed. Use fhir.resources[yaml] or fhir.resources[all] as your project requirements.

Example-1 Export::
>>> from fhir.resources.patient import Patient >>> data = {"active": True, "gender": "male", "birthDate": "2000-09-18", "name": [{"text": "Primal Kons", "family": "Kons", "given": ["Primal"]}]} >>> patient_obj = Patient(**data) >>> yml_str = patient_obj.yaml(indent=True) >>> print(yml_str) resourceType: Patient active: true name: - text: Primal Kons family: Kons given: - Primal gender: male birthDate: 2000-09-18

Example-2 Import from YAML string::
>>> from fhir.resources.patient import Patient >>> data = b""" ... resourceType: Patient ... active: true ... name: ... - text: Primal Kons ... family: Kons ... given: ... - Primal ... gender: male ... birthDate: 2000-09-18 ... """ >>> patient_obj = Patient.parse_raw(data, content_type="text/yaml") >>> json_str = patient_obj.json(indent=True) >>> print(json_str) { "resourceType": "Patient", "active": true, "name": [ { "text": "Primal Kons", "family": "Kons", "given": [ "Primal" ] } ], "gender": "male", "birthDate": "2000-09-18" }

Example-3 Import from YAML file::
>>> from fhir.resources.patient import Patient >>> patient_obj = Patient.parse_file("Patient.yml") >>> json_str = patient_obj.json(indent=True) >>> print(json_str) { "resourceType": "Patient", "active": true, "name": [ { "text": "Primal Kons", "family": "Kons", "given": [ "Primal" ] } ], "gender": "male", "birthDate": "2000-09-18" }

YAML FAQ

• We are using PyYAML library, for serialization/deserialization but if we find more faster library, we could use that. you are welcome to provide us your suggestion.
• YAML based comments is not supported yet, instead json comments syntax is used! Of course this comment feature is in our todo list.

Allow Empty String

Although this is not good practice to allow empty string value against FHIR primitive data type String. But we in real life scenario, is it unavoidable sometimes.

Examples::
Place this code inside your __init__.py module or any place, just to make sure that this fragment of codes is runtime executed.

>>> from fhir.resources.fhirtypes import String >>> String.configure_empty_str(allow=True)

FHIR release R4B over R4

FHIR release R4B is coming with not that much changes over the release of R4. So we decided not to create separate sub-package for R4 like STU3, instead there just overlaps on existing R4. This also means that in future, when we will work on R5; there will be sub-package for R4B and no R4. We suggest you to try make a plan to be upgraded to R4B. Here you could find related information dealing-strategy-R4-R4B.

You could find full discussion here

Migration (from 6.X.X to 7.0.X)

First of all, you have to correct all imports path, if you wish to keep continue using FHIR release R4B or R4, as those resources are moved under sub-package named R4B. Then if you wish to use current R5 release, read carefully the following documents.

1. See the full changes history ->

2. See complete lists of differences between R5 and R4B ->

3. If you are planning to migrate direct from the release R4, then it is important to look at the differences between R4B and R4 here ->

Migration (from later than 6.X.X)

This migration guide states some underlying changes of API and replacement, those are commonly used from later than 6.X.X version.

fhir.resources.fhirelementfactory.FHIRElementFactory::instantiate

Replacement: fhir.resources.construct_fhir_element

• First parameter value is same as previous, the Resource name.
• Second parameter is more flexible than previous! it is possible to provide not only json dict but also json string or json file path.
• No third parameter, what was in previous version.

fhir.resources.fhirabstractbase.FHIRAbstractBase::__init__

Replacement: fhir.resources.fhirabstractmodel.FHIRAbstractModel::parse_obj

• First parameter value is same as previous, json dict.
• No second parameter, what was in previous version.

fhir.resources.fhirabstractbase.FHIRAbstractBase::as_json

Replacement: fhir.resources.fhirabstractmodel.FHIRAbstractModel::dict

• Output are almost same previous, but there has some difference in case of some date type, for example py date, datetime, Decimal are in object representation.
• It is possible to use fhir.resources.fhirabstractmodel.FHIRAbstractModel::json as replacement, when json string is required (so not need further, json dumps from dict)

Note:

All resources/classes are derived from fhir.resources.fhirabstractmodel.FHIRAbstractModel what was previously from fhir.resources.fhirabstractbase.FHIRAbstractBase.

Release and Version Policy

Starting from version 5.0.0 we are following our own release policy and we although follow Semantic Versioning scheme like FHIR® version. Unlike previous statement (bellow), releasing now is not dependent on FHIR®.

removed statement

> This package is following FHIR® release and versioning > policy, for example say, FHIR > releases next version 4.0.1, we also release same version here.

Credits

All FHIR® Resources (python classes) are generated using fhir-parser which is forked from .

This package skeleton was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

© Copyright HL7® logo, FHIR® logo and the flaming fire are registered trademarks owned by Health Level Seven International

History

7.1.0 (2023-12-14)

Breaking

• Drop support for python 3.6.
• Drop support for pydantic v1.

Improvements

• Issue 133 Pydantic 2.0 migration plan. It's not fully migration though, instead of using of Pydantic V1 API.
• Issue 144 Parsing XML byte string MESH acknowledgment response.

7.0.2 (2023-07-03)

• Issue 124 on the wake of 2.x pydantic release, pydantic's max version restriction added.

7.0.1 (2023-05-29)

Fixes

• Issue #128 pkg_resources.declare_namespace deprecation
• Issue #129 urn not supported in Url

7.0.0 (2023-04-08)

New Feature

• Support for FHIR version R5 has been added under root package.

Breaking

• All root resources (FHIR version R4B) are moved under sub-package R4B. Have a look at the migration guide.

6.5.0 (2023-01-01)

Breaking

• FHIR R4B release has been overlapped on current R4 as default release. See changes (Release R4B: May 28, 2022) . More detail at

Improvements

• Issue #90 logging level downgraded from warning to debug.
• Primitive URL type is now accepting the relative path without prefix "/".

6.4.0 (2022-05-11)

Bugfixes

• Fix, primitive extension was not included if primitive field value is null. [nazrulworld]
• Issue #101 ElementDefinition.id typing is incorrect

Improvements

• Issue #97 Now null value accepted as a member of String List.
• Primitive DataType Ùrl` is now accepting relative path.

Breaking

• Element.id & Resource.id don't have any extension. See .

6.2.2 (2022-04-02)

• Issue #96, fixes datetime's ISO format representation for YAML. [nazrulworld]

6.2.1 (2022-01-14)

• Issues #89 & #90 possible breaking for FHIRAbstractModel.dict (if pydnatic specific extra argument has been provided) is neutralized.[nazrulworld]

6.2.0 (2022-01-01)

Bugfixes

• Issue #88 fixes typo mistake. Resource name const was wrong. [nazrulworld]

6.2.0b3 (2021-06-26)

New Feature

• String type class is now configurable, it is possible to allow empty str value.

Bugfixes

• Issue #75 Remove "tests" from installed package.

• Issue #74 When are Falsy values evaluated as None?

• Fixes some issues for DSTU2 &

  [ItayGoren]

6.2.0b2 (2021-04-05)

New Feature

• Parsing YAML file or string/bytes contents, now accept extra parameter loader class.
• Parsing from XML file or string/bytes contents are now supported. With possible to provide xmlparser for schema validation purpose.

Bugfixes

• Added correct fhir version name into Primitive Type Base class for STU3 and DSTU2.

6.2.0b1 (2021-03-31)

New Feature

• Issue #47 add YAML support.
• Issue #51 Help on converting XML to FHIR format.
• Issue #63 Now JSON output key's sequence is matching with original FHIR specification.

Breaking

• FHIRAbstractModel.json() and FHIRAbstractModel.dict() parameters signatures are more FHIR specific and additional parameters are removed (pydantic specific).

Bugfixes

• Added missing element_property field attribute for class FHIRPrimitiveExtension.

6.1.0 (2021-02-13)

• Breaking/Fixes: PR#48 Resource.id type has been replaced with fhirtypes.Id from fhirtypes.String (only for R4) [ItayGoren]
• Fixes: constraints regex for fhirtypes Id, Code, Integer, Decimal, UnsignedInt, PositiveInt and so on. [nazrulworld]

6.0.0 (2020-12-17)

• Issue #21 Remaining resources are added. [iatechicken]

6.0.0b11 (2020-11-25)

• Fixes: wrong ClaimResponseAddItemAdjudicationType resource type name into DTSU2.

6.0.0b10 (2020-11-15)

Improvements

• FHIRAbstractModel::add_root_validator is more improved and practical with proper validation, more now possible provide class method as root validator.

Bugfixes

• Issue #41 pydantic.errors.ConfigError: duplicate validator function.

6.0.0b9 (2020-11-05)

Improvements

• Now supports of simplejson is available automatically (depends on importable) along side with orjson and default json library. Order of json serializer available (orjson -> simplejson(as fallback) -> json(as default)).

Breaking

• orjson is not available by default, have to use extra_require orjson to available that.

6.0.0b8 (2020-11-02)

• pydantic minimum version has been set to 1.7.2.

6.0.0b7 (2020-10-31)

If you face import error ``from pydantic.utils import ROOT_KEY``, please upgrade your pydnatic version to <1.7

Fixes

• Issue #39 added compatibility with pydantic version between 1.6.x and 1.7.x [nazrulworld]

Improvements

• Issue #40 Make fhir primitive element field optional if extension value is provided.

6.0.0b6 (2020-10-24)

Improvements

• FHIRAbstractModel::json now takes additional parameter return_bytes, indicates json string would be bytes. [nazrulworld]
• Issue#38 Add support for FHIR comments. As per suggestion of comments in json from Grahame Grieve, now fhir_comments is accepted. [nazrulworld]
• FHIR comments filter option is added in FHIRAbstractModel::json, means it is possible to exclude any comments while generating json string by providing parameter exclude_comments value. [nazrulworld]
• More FHIR DSTU2 resources have been added. [Itay Goren]

6.0.0b5 (2020-10-04)

Improvements

• visionprescription and supplyrequest resources added for DSTU2 [iatechicken]

Fixes

• Issue #28 'construct_fhir_element' change the given dict

6.0.0b4 (2020-09-24)

Improvements

• orjson supports have been available as default json dumps and loads for Model.
• FHIRAbstractModel::get_json_encoder class method now available, which return pydantic compatible json encoder callable, can be used with any json serializer.
• More DSTU2 FHIR Resources have added, . Thanks to [mmabey].

Fixes

• Fixes URL validation in the case where a primitive type is used as URL (which is allowed in StructureDefinition). [simonvadee]
• Fixes Issue#19 Getting validation errors that don't make sense.

6.0.0b3 (2020-08-07)

• FHIRAbstractModel::get_resource_type class method now available, which returning name of the resource.

6.0.0b2 (2020-07-09)

• FHIRAbstractModel::element_properties class method now available, which returning generator of ModelField, those are elements of the resource.
• Minor fixes on enum_values.

6.0.0b1 (2020-07-05)

Revolutionary evolution has been made, now fully rewritten with modern python, underlying APIs (almost all) have been changed. Please have look at readme section, for howto.

Improvements

• Full support of FHIR Extensibility for Primitive Data Types

Breaking

• Drop support for python 2.7.

5.1.0 (2020-04-11)

Improvements

• FHIR STU3 release version upgraded from 3.0.1 to 3.0.2, Please find changes history here .
• FHIR R4 release version upgraded from 4.0.0 to 4.0.1, find changes history here .

5.0.1 (2019-07-18)

Bugfixes:

• Issue#5 confusing error message "name 'self' is not defined" [nazrulworld]

5.0.0 (2019-06-08)

• Nothing but release stable version.

5.0.0b3 (2019-05-14)

New features

• Isuue#1 Add DSTU2 Support

5.0.0b2 (2019-05-13)

Breaking or Improvments

• elementProperties: element now has extra property type_name. Now format like (name, json_name, type, type_name, is_list, "of_many", not_optional) The type_name refers original type name (code) from FHIR Structure Definition and it would be very helpful while making fhir search, fhirpath navigator.

5.0.0b1 (2019-01-19)

New features

• Implemented own build policy, now previous version of FHIR® resources are available as python sub-package.

Build info

• Default version is R4 (see version info at 4.0.0b1 (2019-01-13) section)
• STU3 (see version info at 3.0.1 (2019-01-13) section)

4.0.0 (2019-01-14)

• see version info at 4.0.0b1 section.

4.0.0b1 (2019-01-13)

Version Info (R4) :

[FHIR]
FhirVersion=4.0.0-a53ec6ee1b
version=4.0.0
buildId=a53ec6ee1b
date=20181227223754

3.0.1 (2019-01-13)

Version Info (STU3) :

[FHIR]
FhirVersion=3.0.1.11917
version=3.0.1
revision=11917
date=20170419074443