ds2 builder

A multi-field calculator for developers and analysts to model ds2 workflows, validate inputs, and generate structured outputs for domain logic.

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About This Tool

The ds2 builder enables structured domain modeling by collecting named input elements, their types, units, constraints, and relationships in a guided multi-field form. It then validates each field against domain rules and computes derived metrics such as coherence scores and dependency relationships. The resulting model provides a concise summary, a dependency graph, and an export-ready artifact for downstream tooling. This approach helps teams compare configurations, document rationale, and prepare implementation plans with reproducible artifacts.
Conceptually, inputs represent independent domain elements while rules enforce integrity, compatibility, and traceability. Outputs translate the modeled configuration into actionable artifacts that integrate with version control, testing pipelines, or documentation generators. The tool focuses on domain logic fidelity rather than UI presentation, ensuring the modeling logic remains portable and auditable. Unique value lies in strict schema enforcement, multi-field validation, and ready-to-export formats that fit technical workflows. Typical use cases include designing ds2-based architectures, validating constraint sets, and producing consistent design documentation for reviews and handoffs.

How to Use

  1. Provide inputs for domain elements such as entities, attributes, constraints, and relationships.
  2. Configure modeling rules and dependencies to reflect domain constraints.
  3. Run calculation to derive scores, dependency graphs, and summaries.
  4. Review outputs for coherence and traceability.
  5. Export results in JSON or YAML for downstream tooling and documentation.
How to use ds2 builder

Frequently Asked Questions

Find Quick Answers

What inputs are required?
Inputs required include a minimal set of domain elements with names, types, units, and constraints. Optional fields may define relationships and derived metrics. Validation ensures each required field is present and adheres to type and range rules. Incomplete inputs emit field-specific errors to guide correction.
What outputs are produced?
The tool returns a model summary, a dependency graph, and derived metrics indicating design coherence. It also generates an export-ready artifact that can be consumed by downstream tooling or documentation generators.
Can I export results?
Yes, JSON and YAML exports are supported, enabling integration with CI pipelines and downstream tools. Custom templates can be defined to align outputs with existing workflows and formats.
How are errors handled?
Validation errors reference the offending input field with a clear message. Non-critical issues may generate warnings while still producing partial outputs when allowed. If external data is unavailable, the tool uses safe defaults or reports explicit failure codes.

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