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Conformance and infrastructure

Conformance

This scenario packages the artifacts a wellness-oriented FHIR server typically publishes so clients know how to query, validate, and interoperate safely. A capability statement summarizes supported resources and interactions, while operation and search parameter definitions make behavior explicit for developers and test harnesses. Structure definitions and maps describe how local profiles relate to the base specification, supporting consistent validation pipelines.

9resources / instance
9FHIR types
10instances
conformance.py
from zato_fhir.test.r4.v1 import Scenarios, TestData

for publish in Scenarios.conformance:
    cap = publish.capability_statement
    print(cap.status)

    op = publish.operation_definition
    print(op.status)

    sp = publish.search_parameter
    print(sp.status)

    comp = publish.compartment_definition
    print(comp.status)

    struct = publish.structure_definition
    print(struct.status)

    smap = publish.structure_map
    print(smap.status)

    ig = publish.implementation_guide
    print(ig.status)

    graph = publish.graph_definition
    print(graph.status)

    example = publish.example_scenario
    print(example.status)

About this scenario

This scenario packages the artifacts a wellness-oriented FHIR server typically publishes so clients know how to query, validate, and interoperate safely. A capability statement summarizes supported resources and interactions, while operation and search parameter definitions make behavior explicit for developers and test harnesses. Structure definitions and maps describe how local profiles relate to the base specification, supporting consistent validation pipelines.

An implementation guide ties the narrative together for human readers, and graph definitions help tools understand useful traversal patterns. An example scenario illustrates a happy-path exchange so onboarding teams can align documentation with executable tests. There is no patient in this bundle; it is purely conformance and knowledge metadata with a positive, production-ready posture in the synthetic data.

FHIR resources in this scenario

9 resources per instance, 90 total across 10 instances.

FHIR resource typeRole in this scenario
CapabilityStatementMachine-readable summary of server features and supported resources
OperationDefinitionCustom or extended operations the server implements
SearchParameterSearchable paths and modifiers exposed to clients
CompartmentDefinitionRules for compartment-based access scoping
StructureDefinitionProfiles and constraints on wellness-related resources
StructureMapDeclarative mapping between logical models or versions
ImplementationGuidePackaged documentation and artifact index for the server
GraphDefinitionRecommended linked-data shapes for common queries
ExampleScenarioWorked example of a successful interaction sequence
FHIR resources per instance9
Total resources (10 instances)90
Distinct resource types9
Scenario identifier`Scenarios.conformance`

At a glance

9
FHIR resources per instance
90
Total resources (10 instances)
9
Distinct resource types
Scenarios.conformance
Scenario identifier

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Open source In Python