PackagePublished package

@pasar6987/sf-net-zero-platform

Name: Semantic model package @pasar6987/sf-net-zero-platform
Creator: pasar6987

Supporting components for net zero operations and configurations.

OSISchema 0.1.1Domain crm Source developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Published package · Latest published 1.0.1 Mar 4, 2026 · 11 datasets / 218 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

11 datasets218 measures · 123 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

Domain

crm

Source

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

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

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-platform

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-platform")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-net-zero-platform",
    datasets=["AnnualEmssnInventory", "AnnualEmssnInventoryExtension"],
    max_tokens=2000,
)

print(model.datasets)        # ["AnnualEmssnInventory", "AnnualEmssnInventoryExtension", "AnnualEmssnRdctnTarget"]
print(model.measures)        # [Measure(name="AnnualEmssnInventory.AllocScope1And2Emssn", ...), Measure(name="AnnualEmssnInventory.AllocScope1EmissionsInTco2e", ...), Measure(name="AnnualEmssnInventory.AllocScope1EmssnOverride", ...)]
print(model.dimensions)      # [Dimension(name="AccountNameId", ...), Dimension(name="IsLocked", ...), Dimension(name="IsRecordLocked", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

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

@pasar6987/sf-net-zero-platform

Supporting components for net zero operations and configurations.

Overview

	Count
Objects (Datasets)	11
Dimensions	123
Measures	218
Relationships	0

Objects

AnnualEmssnInventory — Represents information about a company's total carbon emissions for a particular year in metric tonnes of CO2e (tCO2e). These emissions are the sum of all the emissions in scope 1, scope 2, and scope 3 greenhouse gas categories.
AnnualEmssnInventoryExtension — Represents additional information about a company's total carbon emissions for a particular year in metric tonnes of CO2e (tCO2e).
AnnualEmssnRdctnTarget — Represents information about the emissions reduction target set by a company for a particular year.
BldgSizeCategory — Represents the building size filter criteria for the building energy intensity records. The building size filter criteria are stored as a range of floor area sizes from a minimum size to a maximum size, in units of sqft or m². The records can have overlapping minimum-maximum ranges.
ElectricityEmssnFctrSet — Represents the factors that are used to convert electricity usage into CO₂e, CO₂, CH₄, and N₂O values. This record holds data on the breakdown of sources of electricity by fuel type (grid mixes).
OtherEmssnFctrSet — Represents a collection of emissions and conversion factors for various data types and sources that are neither the electricity grid nor scope 3 data types.
OtherEmssnFctrSetItem — Represents the individual entries for emissions and conversion factors for various data types and sources that are neither the electricity grid nor scope 3 data types.
PcmtEmssnFctrSet — Represents a collection of emission factors that are used to convert spent amounts in procurement data to carbon emissions in tonnes of carbon dioxide equivalent (tCO₂e).
PcmtEmssnFctrSetItem — Represents the individual emissions factors for scope 3 procurement analysis. Here, the environmentally extended input-output (EEIO) model outputs are used as the emission factors in units of tCO₂e per million spent (currency not specified).
ProductEmissionsFactor — Represents information about the emissions factors used in quantifying the emissions by a product in the supply-chain.
RefrigerantEmssnFctr — Represents the global warming potential values for individual refrigerants. Global warming potential compares the atmospheric radiative forcing of one molecule of refrigerant to that of carbon dioxide.

Install

rawctx snapshot-download @pasar6987/sf-net-zero-platform

Structure review

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

Models1

datasets11

measures218

dimensions123

relationships0

AI context1

models/sf-net-zero-platform.osi.yamlAI context included

11 datasets218 measures123 dimensions0 relationships