PackagePublished package

@pasar6987/sf-education-academic

Name: Semantic model package @pasar6987/sf-education-academic
Creator: pasar6987

Academic calendar framework with years, terms, sessions, enrollment policies, and registration timelines.

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 · 9 datasets / 3 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

9 datasets3 measures · 118 dimensions

Semantic Graph

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Reference context

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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-education-academic

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-education-academic")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-education-academic",
    datasets=["AcadTermEnrlPolicyRuleLog", "AcademicCredential"],
    max_tokens=2000,
)

print(model.datasets)        # ["AcadTermEnrlPolicyRuleLog", "AcademicCredential", "AcademicInterest"]
print(model.measures)        # [Measure(name="AcadTermEnrlPolicyRuleLog.CalculatedNumericResult", ...), Measure(name="AcademicTermEnrollment.CumulativeGradePointAverage", ...), Measure(name="AcademicTermEnrollment.HoursAttempted", ...)]
print(model.dimensions)      # [Dimension(name="AcademicTermEnrollmentId", ...), Dimension(name="AcademicTermId", ...), Dimension(name="CalculatedDate", ...)]
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-education-academic

Academic calendar framework with years, terms, sessions, enrollment policies, and registration timelines.

Overview

	Count
Objects (Datasets)	9
Dimensions	118
Measures	3
Relationships	0

Objects

AcadTermEnrlPolicyRuleLog — Represents the log of the policy rule calculation runs for an academic term enrollment.
AcademicCredential — A credential which can be earned by learners.
AcademicInterest — Represents a person's academic interest.
AcademicSession — Records course offering period. Specifies time periods based on an institution’s calendar whether that is semesters, quarters, trimesters, or other terms.
AcademicTerm — Defines an academic period which may hold other more defined time periods within it to create a specific time for reporting and offerings.
AcademicTermEnrollment — Represents information about a student's enrollment in an Academic Term.
AcademicTermPolicyRule — Represents a junction between Academic Term and Expression Set objects where an expression set is used as a policy rule for the academic term.
AcademicTermRegstrnTimeline — Represents the registration time window for an academic term.
AcademicYear — Defines an academic year period.

Install

rawctx snapshot-download @pasar6987/sf-education-academic

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

datasets9

measures3

dimensions118

relationships0

AI context1

models/sf-education-academic.osi.yamlAI context included

9 datasets3 measures118 dimensions0 relationships