PackagePublished package

@pasar6987/sf-net-zero-energy

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

Energy sources, fuel types, building intensity metrics, clean energy projects, and renewable attribute certificates.

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 · 10 datasets / 25 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

10 datasets25 measures · 117 dimensions

Semantic Graph

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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-energy

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-energy")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-net-zero-energy",
    datasets=["BldgEnrgyIntensity", "BldgEnrgyIntensityCnfg"],
    max_tokens=2000,
)

print(model.datasets)        # ["BldgEnrgyIntensity", "BldgEnrgyIntensityCnfg", "BldgEnrgyIntensityVal"]
print(model.measures)        # [Measure(name="BldgEnrgyIntensity.AnnualEnergyIntensityInKwhM2", ...), Measure(name="BldgEnrgyIntensity.AnnualEnergyIntensityInKwhSqft", ...), Measure(name="BldgEnrgyIntensity.AveragePowerUsageEffectiveness", ...)]
print(model.dimensions)      # [Dimension(name="AreSysGenEnrgyUseRecIncluded", ...), Dimension(name="AveragingWindowEndDate", ...), Dimension(name="AveragingWindowStartDate", ...)]
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-energy

Energy sources, fuel types, building intensity metrics, clean energy projects, and renewable attribute certificates.

Overview

	Count
Objects (Datasets)	10
Dimensions	117
Measures	25
Relationships	0

Objects

BldgEnrgyIntensity — Represents the average energy intensity by fuel type across a set of buildings. You can derive this data from published sources. Alternatively, you can do so by using energy use records as the data source and then setting up a window of time with some characteristics of the building size and type.
BldgEnrgyIntensityCnfg — Represents the setup object that contains the mapping between the Building Energy Intensity Record record type and internal enums. You can primarily use this object for calculations across different record types.
BldgEnrgyIntensityVal — Represents the calculated average energy intensity for an individual fuel type across a set of buildings. Each record stores the fuel use intensity as a function of the floor area of the occupied space of that building.
CleanEnergyProject — Represents information about a project that provides credits a company can purchase to claim clean energy usage.
EnergyAttrCertCredit — Represents information about the energy attribute certificate credits related to energy attribute certificate purchase.
EnergyAttrCertPurchase — Represents information about the purchase of energy attribute certificates from the clean energy project supplier. The information includes terms of engagement and the delivery type of energy attribute certificate.
EnergyAttrCreditDstr — Represents a junction between energy attribute credits and stationary asset energy use indicating the quantity of credits distributed for a specific energy use.
FuelType — Represents information about the additional fuel types defined by a customer.
FuelTypeSustnUom — Represents a mapping between the additional fuel types and their corresponding unit of measure values defined by a customer.
InflationRate — Represents the inflation rates that are used to adjust currency values from one year to another.

Install

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

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

datasets10

measures25

dimensions117

relationships0

AI context1

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

10 datasets25 measures117 dimensions0 relationships