Skip to content

UsageJourneyStep

Params

name

A human readable description of the object.

user_time_spent

Time spent on step 20 min streaming in minute.

jobs

A list of EcoLogitsGenAIExternalAPIJobs.

Calculated attributes

fabrication_impact_repartition_weights

Dictionary with UsageJourney as keys and User journey weight in 20 min streaming impact repartition as values, in concurrent.

Example value: {
UsageJourney user journey (67d02a): 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [2, 1.33, 3, 0.333, 0.333, 1.33, 1, 2.33, 1.33, 2],
last 10 vals [3, 3, 2.67, 1, 2, 2, 1, 1.33, 2.33, 0.667],
}

Depends directly on:

through the following calculations:

You can also visit the link to user journey weight in 20 min streaming impact repartition’s full calculation graph.

fabrication_impact_repartition_weight_sum

Sum of 20 min streaming fabrication impact repartition weights in concurrent.

Example value: 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [2, 1.33, 3, 0.333, 0.333, 1.33, 1, 2.33, 1.33, 2],
last 10 vals [3, 3, 2.67, 1, 2, 2, 1, 1.33, 2.33, 0.667]

Depends directly on:

through the following calculations:

You can also visit the link to Sum of 20 min streaming fabrication impact repartition weights’s full calculation graph.

fabrication_impact_repartition

Dictionary with UsageJourney as keys and 20 min streaming fabrication impact attribution to user journey as values, in concurrent.

Example value: {
UsageJourney user journey (67d02a): 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
last 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
}

Depends directly on:

through the following calculations:

You can also visit the link to 20 min streaming fabrication impact attribution to user journey’s full calculation graph.

usage_impact_repartition_weights

Dictionary with UsageJourney as keys and User journey weight in 20 min streaming impact repartition as values, in concurrent * gram / kilowatt_hour.

Example value: {
UsageJourney user journey (67d02a): 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in ·g/kWh:
first 10 vals [170, 113, 255, 28.3, 28.3, 113, 85, 198, 113, 170],
last 10 vals [255, 255, 227, 85, 170, 170, 85, 113, 198, 56.7],
}

Depends directly on:

through the following calculations:

You can also visit the link to user journey weight in 20 min streaming impact repartition’s full calculation graph.

usage_impact_repartition_weight_sum

Sum of 20 min streaming usage impact repartition weights in concurrent * gram / kilowatt_hour.

Example value: 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in ·g/kWh:
first 10 vals [170, 113, 255, 28.3, 28.3, 113, 85, 198, 113, 170],
last 10 vals [255, 255, 227, 85, 170, 170, 85, 113, 198, 56.7]

Depends directly on:

through the following calculations:

You can also visit the link to Sum of 20 min streaming usage impact repartition weights’s full calculation graph.

usage_impact_repartition

Dictionary with UsageJourney as keys and 20 min streaming usage impact attribution to user journey as values, in concurrent.

Example value: {
UsageJourney user journey (67d02a): 26298 values from 2025-01-01 00:00:00+00:00 to 2028-01-01 18:00:00+00:00 in :
first 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
last 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
}

Depends directly on:

through the following calculations:

You can also visit the link to 20 min streaming usage impact attribution to user journey’s full calculation graph.