lcpl viewer

A LCPL data viewer designed for engineers and analysts to quickly inspect structures, validate integrity, and spot mismatches.

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About This Tool

LCPL Viewer analyzes LCPL payloads to provide a structured diagnostic and comparison interface for data teams. It accepts a single payload for validation or two payloads for diffs, parsing the content into a graph-like representation and validating against a baseline schema. It then computes metrics such as node count, depth, and type distribution, returning a machine-readable report suitable for automation.
Conceptually, the tool treats LCPL as a tree of labeled nodes and performs rigorous structural checks, identifying orphan nodes, missing relations, and version mismatches. For diffs, it aligns trees and reports insertions, deletions, and moves with precise paths. This separation of concerns—validation, metrics, and diffs—facilitates automation and CI integration.
Who benefits? Development teams, data engineers, content architects, and QA analysts gain visibility into data integrity across projects. Unique value lies in combining structural validation with delta analysis for LCPL, plus batch processing and export options for downstream tooling. Core features include input parsing, version detection, structural validation, metrics reporting, delta analysis, and exportable results (JSON/CSV). Typical use cases cover schema migrations, quality gates in pipelines, and content-model reviews.

How to Use

  1. Provide inputs: paste lcpl_payload (required) and optional compare_payload or baseline_schema_version.
  2. Choose analysis mode: validation-only or diff between two payloads.
  3. Run analysis: trigger the analyzer to produce metrics and diffs.
  4. Review outputs: inspect node counts, depth, issue list, and diff paths.
  5. Export results: save as JSON or CSV for automation.
How to use lcpl viewer

Frequently Asked Questions

Find Quick Answers

What is LCPL?
LCPL refers to a content-structure specification used in data modeling. The LCPL Viewer validates and analyzes LCPL payloads to ensure structural integrity, mandatory relationships, and consistency across revisions. It does not interpret semantics or business rules.
What formats are supported?
The tool accepts LCPL payloads as JSON-like structures and supports optional batch inputs. It can compare two payloads, and outputs metrics and diffs in machine-friendly formats such as JSON and CSV.
How are results presented?
Results include node counts, depth, type distribution, similarity metrics, and a list of detected issues with paths. Diffs present a structured set of changes, including insertions, deletions, and moves, with exact locations.
Can I automate this in CI?
Yes. The tool exposes a stable JSON export that can be integrated into CI workflows. It supports batch processing and can be invoked via API or command-line interfaces to gate content-quality checks.

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