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iter_list_data_transformation_jobs

iter_list_data_transformation_jobs(
    *,
    config_overrides: Optional[HealthLakeClientConfig] = None,
    max_results: Optional[MaxResults] = None,
    next_token: Optional[DataTransformationNextToken] = None,
    job_status: Optional[TransformationJobStatus] = None,
    job_name: Optional[DataTransformationJobName] = None,
    submitted_after: Optional[DateTime] = None,
    submitted_before: Optional[DateTime] = None,
) -> Iterator[TransformationJobSummary]
Source code in docs_src/capo_healthlake/_services/health_lake.py
def iter_list_data_transformation_jobs(
    self,
    *,
    config_overrides: Optional[HealthLakeClientConfig] = None,
    max_results: Optional["capo_healthlake.types.max_results.MaxResults"] = None,
    next_token: Optional[
        "capo_healthlake.types.data_transformation_next_token.DataTransformationNextToken"
    ] = None,
    job_status: Optional[
        "capo_healthlake.types.transformation_job_status.TransformationJobStatus"
    ] = None,
    job_name: Optional[
        "capo_healthlake.types.data_transformation_job_name.DataTransformationJobName"
    ] = None,
    submitted_after: Optional["capo_healthlake.types.date_time.DateTime"] = None,
    submitted_before: Optional["capo_healthlake.types.date_time.DateTime"] = None,
) -> "Iterator[capo_healthlake.types.transformation_job_summary.TransformationJobSummary]":
    _token = next_token
    while True:
        _response = self.list_data_transformation_jobs(
            config_overrides=config_overrides,
            max_results=max_results,
            next_token=_token,
            job_status=job_status,
            job_name=job_name,
            submitted_after=submitted_after,
            submitted_before=submitted_before,
        )
        _page = _resolve_path(_response, ("items",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break