Class CalculateStatsResponse

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CalculateStatsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The response for calculating conversation statistics.

Attributes

NameDescription
average_duration google.protobuf.duration_pb2.Duration
The average duration of all conversations. The average is calculated using only conversations that have a time duration.
average_turn_count int
The average number of turns per conversation.
conversation_count int
The total number of conversations.
smart_highlighter_matches Sequence[google.cloud.contact_center_insights_v1.types.CalculateStatsResponse.SmartHighlighterMatchesEntry]
A map associating each smart highlighter display name with its respective number of matches in the set of conversations.
custom_highlighter_matches Sequence[google.cloud.contact_center_insights_v1.types.CalculateStatsResponse.CustomHighlighterMatchesEntry]
A map associating each custom highlighter resource name with its respective number of matches in the set of conversations.
issue_matches Sequence[google.cloud.contact_center_insights_v1.types.CalculateStatsResponse.IssueMatchesEntry]
A map associating each issue resource name with its respective number of matches in the set of conversations. Key has the format: ``projects/
issue_matches_stats Sequence[google.cloud.contact_center_insights_v1.types.CalculateStatsResponse.IssueMatchesStatsEntry]
A map associating each issue resource name with its respective number of matches in the set of conversations. Key has the format: ``projects/
conversation_count_time_series google.cloud.contact_center_insights_v1.types.CalculateStatsResponse.TimeSeries
A time series representing the count of conversations created over time that match that requested filter criteria.

Inheritance

builtins.object > proto.message.Message > CalculateStatsResponse

Classes

CustomHighlighterMatchesEntry

CustomHighlighterMatchesEntry(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, `.Message`]

A dictionary or message to be used to determine the values for this message.

ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

IssueMatchesEntry

IssueMatchesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, `.Message`]

A dictionary or message to be used to determine the values for this message.

ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

IssueMatchesStatsEntry

IssueMatchesStatsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, `.Message`]

A dictionary or message to be used to determine the values for this message.

ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

SmartHighlighterMatchesEntry

SmartHighlighterMatchesEntry(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, `.Message`]

A dictionary or message to be used to determine the values for this message.

ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

TimeSeries

TimeSeries(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A time series representing conversations over time.