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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 (b4a18c): 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, 2, 0.333, 0.333, 2.33, 2.33, 0.333, 2.33, 3, 0.333],
last 10 vals [2.33, 0.333, 1, 0.333, 2.33, 1.67, 2, 1, 1, 1.33],
}

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, 2, 0.333, 0.333, 2.33, 2.33, 0.333, 2.33, 3, 0.333],
last 10 vals [2.33, 0.333, 1, 0.333, 2.33, 1.67, 2, 1, 1, 1.33]

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 (b4a18c): 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 (b4a18c): 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, 170, 28.3, 28.3, 198, 198, 28.3, 198, 255, 28.3],
last 10 vals [198, 28.3, 85, 28.3, 198, 142, 170, 85, 85, 113],
}

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, 170, 28.3, 28.3, 198, 198, 28.3, 198, 255, 28.3],
last 10 vals [198, 28.3, 85, 28.3, 198, 142, 170, 85, 85, 113]

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 (b4a18c): 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.