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FindingsReportSummary

Source code in docs_src/capo_codeguruprofiler/types/findings_report_summary.py
class FindingsReportSummary(TypedDict, closed=True):
    id: NotRequired["capo_codeguruprofiler.types.findings_report_id.FindingsReportId"]
    """<p>The universally unique identifier (UUID) of the recommendation report.</p>"""
    profiling_group_name: NotRequired["str"]
    """<p>The name of the profiling group that is associated with the analysis data.</p>"""
    profile_start_time: NotRequired["capo_codeguruprofiler.types.timestamp.Timestamp"]
    """<p>The start time of the profile the analysis data is about. This is specified using the ISO 8601 format. For example, 2020-06-01T13:15:02.001Z represents 1 millisecond past June 1, 2020 1:15:02 PM UTC.</p>"""
    profile_end_time: NotRequired["capo_codeguruprofiler.types.timestamp.Timestamp"]
    """<p> The end time of the period during which the metric is flagged as anomalous. This is specified using the ISO 8601 format. For example, 2020-06-01T13:15:02.001Z represents 1 millisecond past June 1, 2020 1:15:02 PM UTC. </p>"""
    total_number_of_findings: NotRequired["int"]
    """<p>The total number of different recommendations that were found by the analysis.</p>"""

id instance-attribute

id: NotRequired[FindingsReportId]

The universally unique identifier (UUID) of the recommendation report.

profile_end_time instance-attribute

profile_end_time: NotRequired[Timestamp]

The end time of the period during which the metric is flagged as anomalous. This is specified using the ISO 8601 format. For example, 2020-06-01T13:15:02.001Z represents 1 millisecond past June 1, 2020 1:15:02 PM UTC.

profile_start_time instance-attribute

profile_start_time: NotRequired[Timestamp]

The start time of the profile the analysis data is about. This is specified using the ISO 8601 format. For example, 2020-06-01T13:15:02.001Z represents 1 millisecond past June 1, 2020 1:15:02 PM UTC.

profiling_group_name instance-attribute

profiling_group_name: NotRequired[str]

The name of the profiling group that is associated with the analysis data.

total_number_of_findings instance-attribute

total_number_of_findings: NotRequired[int]

The total number of different recommendations that were found by the analysis.