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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 (d9fe71): 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in :
first 10 vals [0.667, 2.67, 3, 2.67, 1, 0.333, 2.33, 2, 3, 0.667],
last 10 vals [1, 2.67, 3, 0.667, 2.67, 2, 1.67, 0.667, 2, 1],
}

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 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in :
first 10 vals [0.667, 2.67, 3, 2.67, 1, 0.333, 2.33, 2, 3, 0.667],
last 10 vals [1, 2.67, 3, 0.667, 2.67, 2, 1.67, 0.667, 2, 1]

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 (d9fe71): 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+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 (d9fe71): 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in ·g/kWh:
first 10 vals [56.7, 227, 255, 227, 85, 28.3, 198, 170, 255, 56.7],
last 10 vals [85, 227, 255, 56.7, 227, 170, 142, 56.7, 170, 85],
}

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 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in ·g/kWh:
first 10 vals [56.7, 227, 255, 227, 85, 28.3, 198, 170, 255, 56.7],
last 10 vals [85, 227, 255, 56.7, 227, 170, 142, 56.7, 170, 85]

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 (d9fe71): 26298 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+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.