PackagePublished package

@pasar6987/sf-core-location

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

Location groups, geographic hierarchies, waitlist management, trust measures, and geo-political country and state reference data for location-aware operations.

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 · 8 datasets / 12 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

8 datasets12 measures · 76 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

Package graph is loading

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-core-location

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-location")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-core-location",
    datasets=["GeoCountry", "GeoState"],
    max_tokens=2000,
)

print(model.datasets)        # ["GeoCountry", "GeoState", "LocWaitlistMsgTemplate"]
print(model.measures)        # [Measure(name="LocationTrustMeasure.SortOrder", ...), Measure(name="LocationWaitlist.CumulativeGuestCount", ...), Measure(name="LocationWaitlist.CumulativeGuestGroupCount", ...)]
print(model.dimensions)      # [Dimension(name="Description", ...), Dimension(name="IsoCode", ...), Dimension(name="LastReferencedDate", ...)]
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-core-location

Location groups, geographic hierarchies, waitlist management, trust measures, and geo-political country and state reference data for location-aware operations.

Overview

	Count
Objects (Datasets)	8
Dimensions	76
Measures	12
Relationships	0

Objects

GeoCountry — Represents a country.
GeoState — Represents a state.
LocWaitlistMsgTemplate — Represents a junction object connecting LocationWaitlist to MessagingTemplate.
LocationGroup — Represents a group of Omnichannel Inventory locations, providing an aggregate view of inventory availability across those locations. Omnichannel Inventory can create an inventory reservation for an order at the location group level, then assign the reservation to one or more locations in the group as needed.
LocationGroupAssignment — Represents the assignment of a location to a location group.
LocationTrustMeasure — Represents the COVID safety protocols that your business follows. For example, enforcement of masks, social distancing, cleanliness, and capacity limits.
LocationWaitlist — Represents a queue created for a specific location. Multiple queues can be created for a single location. For example, you can have a queue for each sales agent or a standard queue and a queue for vulnerable groups. The specific party of people in a queue is represented by LocationWaitlistedParty.
LocationWaitlistedParty — Represents a specific party of people waiting in a queue.

Install

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

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

datasets8

measures12

dimensions76

relationships0

AI context1

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

8 datasets12 measures76 dimensions0 relationships