PackagePublished package

@pasar6987/sf-core-calculation

Name: Semantic model package @pasar6987/sf-core-calculation
Creator: pasar6987

Declarative calculation engine objects including procedure definitions, steps, variables, versions, and insight range bounds for business logic computation.

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 · 6 datasets / 7 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

6 datasets7 measures · 61 dimensions

Semantic Graph

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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-core-calculation

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-core-calculation")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-core-calculation",
    datasets=["CalcProcStepRelationship", "CalculatedInsightRangeBound"],
    max_tokens=2000,
)

print(model.datasets)        # ["CalcProcStepRelationship", "CalculatedInsightRangeBound", "CalculationProcedure"]
print(model.measures)        # [Measure(name="CalculatedInsightRangeBound.LowerBoundRange", ...), Measure(name="CalculatedInsightRangeBound.UpperBoundRange", ...), Measure(name="CalculationProcedureStep.StageStepSequence", ...)]
print(model.dimensions)      # [Dimension(name="CalcProcStepId", ...), Dimension(name="CalcProcVersionId", ...), Dimension(name="Name", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

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@pasar6987/sf-core-calculation

Declarative calculation engine objects including procedure definitions, steps, variables, versions, and insight range bounds for business logic computation.

Overview

	Count
Objects (Datasets)	6
Dimensions	61
Measures	7
Relationships	0

Objects

CalcProcStepRelationship — Defines a parent-child relationship between two Expression Set Steps in an Expression Set Version. The label for this object is Expression Set Step Relationship.
CalculatedInsightRangeBound — Stores the information required to calculate a range-bound data insight.
CalculationProcedure — Performs a series of calculations using matrix lookups and user-defined variables and constants. The label for this object is Expression Set.
CalculationProcedureStep — Defines a step in an Expression Set. The label for this object is Expression Set Step.
CalculationProcedureVariable — Defines a variable in an Expression Set. The label for this object is Expression Set Variable.
CalculationProcedureVersion — Defines a version of an Expression Set. The label for this object is Expression Set Version.

Install

rawctx snapshot-download @pasar6987/sf-core-calculation

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

datasets6

measures7

dimensions61

relationships0

AI context1

models/sf-core-calculation.osi.yamlAI context included

6 datasets7 measures61 dimensions0 relationships