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Workflow Metrics Types

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class indico.types.workflow_metrics.WorkflowMetricsOptions(value)

Options for pulling back specific metrics.

SUBMISSIONS

Generates SubmissionMetrics in the response.

REIVEW

Generates review Queue metrics in the response.

STRAIGHT_THROUGH_PROCESSING

Generates StraightThroughProcessing metrics in the response.

TIME_ON_TASK

Average time spent by reviewers on documents.

class indico.types.workflow_metrics.TimeOnTaskMetric(**kwargs)

Time on task metrics.

avg_mins_per_doc

Average amount of minutes reviewers spend on documents in this workflow
across review and exceptions queue.

  • Type:
    float

avg_mins_per_doc_review

Average amount of minutes reviewers spend on documents in this workflow
in the review queue.

  • Type:
    float

avg_min_per_doc_exceptions

Average amount of minutes reviewers spend on ducments for this workflow in
the exceptions queue.

  • Type:
    float

class indico.types.workflow_metrics.TimeOnTaskMetrics(**kwargs)

Time on task metrics.

aggregate

Aggregate level time on task metrics.

daily

Daily level time on task metrics.

class indico.types.workflow_metrics.DailyTimeOnTaskMetric(**kwargs)

Daily time on task metrics.

avg_mins_per_doc

Average amount of minutes reviewers spend on documents in this workflow
across review and exceptions queue.

  • Type:
    float

avg_mins_per_doc_review

Average amount of minutes reviewers spend on documents in this workflow
in the review queue.

  • Type:
    float

avg_min_per_doc_exceptions

Average amount of minutes reviewers spend on ducments for this workflow in
the exceptions queue.

  • Type:
    float

date

Date.

  • Type:
    str

class indico.types.workflow_metrics.SubmissionMetric(**kwargs)

Submission metric.

Attributes:
: submitted(int): Number of items submitted to this workflow on this day.
completed(int): Number of items completed in this workflow on this day.
completed_in_review(int): Number of items accepted in the review or the exceptions queue.
completed_review_queue(int): Number of items accepted in the review queue.
completed_exception_queue(int): Number of items accepted in the exceptions queue.
rejected_in_review(int): Number of items rejected in the exceptions queue.
date(str): Date.

class indico.types.workflow_metrics.DailySubmissionMetric(**kwargs)

Daily submission metrics.

submitted

Number of items submitted to this workflow on this day.

  • Type:
    int

completed

Number of items completed in this workflow on this day.

  • Type:
    int

completed_in_review

Number of items accepted in the review or the exceptions queue.

  • Type:
    int

completed_review_queue

Number of items accepted in the review queue.

  • Type:
    int

completed_exception_queue

Number of items accepted in the exceptions queue.

  • Type:
    int

rejected_in_review

Number of items rejected in the exceptions queue.

  • Type:
    int

date

Date.

  • Type:
    str

class indico.types.workflow_metrics.DailyQueueMetric(**kwargs)

Daily cumulative metrics for queues
.. attribute:: date

the date.

  • type:
    str

subs_on_queue

Number of submissions queued for review

  • Type:
    int

hours_on_queue

Cumulative hours items wait on queue for review.

  • Type:
    float

avg_age_in_queue

Average cumulative age of items waiting in review queues.

  • Type:
    float

class indico.types.workflow_metrics.QueueMetrics(**kwargs)

Daily cumulative metrics for queues.
.. attribute:: daily_cumulative

list of cumulative queue metrics per day

  • type:
    List[DailyQueueMetric]

class indico.types.workflow_metrics.PredictionMetric(**kwargs)

The total number of model-generated predictions for specified workflow.
.. attribute:: num_preds

the total number of model-generated predictions.

  • type:
    int

class indico.types.workflow_metrics.PredictionMetrics(**kwargs)

Prediction metrics.

aggregate

Total number of predictions generated for this workflow.

daily

Number of predictions generated per-date.

class indico.types.workflow_metrics.DailyPredictionMetric(**kwargs)

The total number of model-generated predictions for specified workflow for this date.
.. attribute:: date

the date of the prediction.

  • type:
    str

num_preds

the total number of model-generated predictions.

  • Type:
    int

class indico.types.workflow_metrics.StpMetric(**kwargs)

Base Straight through processing (STP) metric for a model, class, or workflow.

review_numerator

The number of human accepted model predictions.

  • Type:
    int

auto_review_numerator

The number of human accepted auto review labels.

  • Type:
    int

review_denom

Total of user supplied labels and model predictions.

  • Type:
    int

auto_review_denom

  • Type:
    int

review_stp_pct

Percent of human accepted model predictions. Present if auto review is disabled.

  • Type:
    float

auto_review_stp_pct

Percent of auto review labels accepted. Present if auto review is enabled.

  • Type:
    float

class indico.types.workflow_metrics.DailyStpMetric(**kwargs)

Daily Straight through processing (STP) metric for a model, class, or workflow.

review_numerator

The number of human accepted model predictions.

  • Type:
    int

auto_review_numerator

The number of human accepted auto review labels.

  • Type:
    int

review_denom

Total of user supplied labels and model predictions.

  • Type:
    int

auto_review_denom

  • Type:
    int

review_stp_pct

Percent of human accepted model predictions. Present if auto review is disabled.

  • Type:
    float

auto_review_stp_pct

Percent of auto review labels accepted. Present if auto review is enabled.

  • Type:
    float

date

The date these metrics are applicable.

  • Type:
    str

class indico.types.workflow_metrics.ClassStpMetrics(**kwargs)

STP Metrics per class.

class_name

Name of the class.

  • Type:
    str

aggregate

Aggregate level metrics about this class.

daily

Per-date STP metrics for this class.

class indico.types.workflow_metrics.ModelStpMetrics(**kwargs)

Model STP metrics.

model_group_id

Id of the model group.

  • Type:
    int

name

Name of the model.

  • Type:
    str

aggregate

Aggregate level STP metrics for the model.

daily

Daily STP metrics for the model.

class_metrics

Metrics per model class.

class indico.types.workflow_metrics.WorkflowStpMetrics(**kwargs)

Daily workflow STP metrics.

daily

List of daily metrics.

class indico.types.workflow_metrics.StraightThroughProcessing(**kwargs)

Straight Through Processing (STP) metrics.

workflow

Daily aggregate workflow level STP metrics.

model

Model STP metrics (including class STP).

class indico.types.workflow_metrics.WorkflowMetrics(**kwargs)

Workflow metrics for the requested workflow id and dates.

workflow_id

The workflow id.

  • Type:
    int

time_on_task

Time spent on tasks.

submissions

Submission specific metrics.

  • Type:
    SubmissionMetrics

queues

Review queue metrics.

predictions

Prediction metrics.

straight_through_processing

Straight through processing (STP) metrics.

first_submitted_date

The earliest date of submission to this workflow.

  • Type:
    str

Updated 6 months ago