HubPublic
PackagePublished package

@pasar6987/sf-net-zero-vehicle-assets

Mobile source emissions tracking for vehicle fleets with energy use and carbon footprint calculations.

Published package · Latest published 1.0.1 Mar 4, 2026 · 4 datasets / 44 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

4 datasets44 measures · 66 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

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Package relationships will appear when the summary is ready.

Reference context

Secondary package facts stay compact

Updated
Mar 11, 2026
Visibility
Public hub listing
License
MIT
Created
Mar 4, 2026

Reference facts

Secondary package facts after the usage path is clear

Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.

Format

OSI

Upstream

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Repository

Not linked

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Tags

salesforcecrmnet-zerovehicle-assets

Schema preview

Schema 0.1.1

SDK handoff

Use this package in code and AI

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/sf-net-zero-vehicle-assets

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/sf-net-zero-vehicle-assets")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-net-zero-vehicle-assets",
    datasets=["VehicleAssetCrbnFtprnt", "VehicleAssetEmssnSrc"],
    max_tokens=2000,
)

print(model.datasets)        # ["VehicleAssetCrbnFtprnt", "VehicleAssetEmssnSrc", "VehicleAssetEmssnSrcCnfg"]
print(model.measures)        # [Measure(name="VehicleAssetCrbnFtprnt.CarbonInventoryRecordCount", ...), Measure(name="VehicleAssetCrbnFtprnt.Ch4EmissionsInKg", ...), Measure(name="VehicleAssetCrbnFtprnt.Co2EmissionsInKg", ...)]
print(model.dimensions)      # [Dimension(name="AnnualEmssnInventoryId", ...), Dimension(name="AuditApprovalStatus", ...), Dimension(name="EndDate", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/sf-net-zero-vehicle-assets

Mobile source emissions tracking for vehicle fleets with energy use and carbon footprint calculations.

Overview

Count
Objects (Datasets)4
Dimensions66
Measures44
Relationships0

Objects

  • VehicleAssetCrbnFtprnt — Represents the total carbon emissions from vehicles. Carbon footprint quantifies the effect of atmospheric warming, which is represented in metric tonnes of carbon dioxide equivalent (tCO₂e).
  • VehicleAssetEmssnSrc — Represents assets that are mobile in nature, use energy that can be recorded, and are the source of greenhouse gas emissions.
  • VehicleAssetEmssnSrcCnfg — Represents the setup object that contains the mapping between the Vehicle Asset Emissions Source record type and internal enums. You can primarily use this object for calculations across different record types.
  • VehicleAssetEnrgyUse — Represents the fuel consumption related to vehicles.

Install

rawctx snapshot-download @pasar6987/sf-net-zero-vehicle-assets

Structure review

Inspect package structure after the usage path is clear

Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1
datasets4
measures44
dimensions66
relationships0
AI context1
models/sf-net-zero-vehicle-assets.osi.yamlAI context included
4 datasets44 measures66 dimensions0 relationships