imednet_workflows.uat package

Submodules

imednet_workflows.uat.inspector module

Study metadata inspector for UAT specification generation.

class imednet_workflows.uat.inspector.FormVariableMap[source]

Bases: TypedDict

form: Form
variables: list[Variable]
class imednet_workflows.uat.inspector.StudySchemaInspector[source]

Bases: object

Fetch and index all structural metadata for an iMednet study.

Supports both sync and async SDK clients. When an async client is used, metadata calls are executed concurrently via asyncio.gather. The in-memory cache is per inspector instance. It can be shared by concurrent tasks in a single event loop, but is not thread-safe across threads/processes; use external synchronization or separate inspector instances for that access pattern.

__init__(sdk)[source]
Parameters:

sdk (ImednetSDK | AsyncImednetSDK) –

Return type:

None

async async_inspect(study_key, *, force_refresh=False)[source]

Asynchronously fetch metadata concurrently and return a study snapshot.

Return type:

StudySnapshot

Parameters:

  • study_key (str) –

  • force_refresh (bool) –

clear_cache(study_key=None)[source]

Clear snapshot cache for one study key or all keys.

Return type:

None

Parameters:

study_key (str | None) –

inspect(study_key, *, force_refresh=False)[source]

Synchronously fetch and return a study snapshot.

Return type:

StudySnapshot

Parameters:

  • study_key (str) –

  • force_refresh (bool) –

class imednet_workflows.uat.inspector.StudySnapshot[source]

Bases: ImednetBaseModel

Point-in-time snapshot of a study’s structural metadata.

active_sites()[source]

Return sites that are actively enrolling.

Return type:

list[Site]

captured_at: datetime
enrollment_forms()[source]

Return forms with form_type indicating subject registration.

Return type:

list[Form]

forms: list[Form]
forms_by_key: dict[str, Form]
intervals: list[Interval]
intervals_by_name: dict[str, Interval]
model_config: ClassVar[ConfigDict] = {'extra': 'ignore', 'populate_by_name': True, 'str_strip_whitespace': True, 'validate_by_alias': True, 'validate_by_name': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_post_init(_StudySnapshot__context)[source]

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:

None

Parameters:

_StudySnapshot__context (object) –

scheduled_forms()[source]

Return scheduled (non-enrollment, non-unscheduled) forms.

Return type:

list[Form]

sites: list[Site]
study_key: str
unscheduled_forms()[source]

Return unscheduled forms.

Return type:

list[Form]

variables: list[Variable]
variables_by_form: dict[str, list[Variable]]

imednet_workflows.uat.models module