batch-mode-token-expansion-step

Crates.iobatch-mode-token-expansion-step
lib.rsbatch-mode-token-expansion-step
version0.1.2
created_at2025-03-31 22:12:45.348179+00
updated_at2025-07-13 11:32:56.287623+00
descriptionEnumerates the stepwise stages of token expansion, providing instructions and structure for batch-oriented expansions.
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repositoryhttps://github.com/klebs6/klebs-general
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id1614133
size137,336
(klebs6)

documentation

README

batch-mode-token-expansion-step

This crate provides an enumeration and accompanying logic for describing step-by-step procedures to expand tokens within a structured, axis-based workflow. Each step captures a distinct portion of the token transformation sequence, facilitating clean orchestration of batch-oriented expansions for large-scale text or data processing pipelines.

Features

  • TokenExpansionStep Enum
    • Enumerates discrete stages in the token expansion lifecycle, from initial extraction and cleaning to final JSON output.
    • Can map tokens to axis definitions, integrate rephrasing processes, apply refined adjustments, and ultimately produce a well-defined JSON structure.
  • Flexible Step Generation
    • vec_from_axes and default_steps_from_axes methods enable dynamic or default-based creation of expansion steps, neatly factoring in user-defined axes.
  • Instructive Guidance
    • Every step includes a robust, self-contained instruction payload, guiding how each phase of expansion should be carried out.

Workflow Overview

  1. Extract and Clean Data: Removes extraneous or malformed segments from the token.
  2. Map Token to Axes: Distributes token information across multiple axes, promoting more thorough coverage of potential categories.
  3. Enrich and Rephrase: Enhances clarity and detail in each piece of token-based content.
  4. Apply Specific Adjustments: Applies targeted language, style, or domain-specific constraints.
  5. Output the JSON Structure: Produces a structured and parseable JSON object encapsulating the fully expanded token content.

This stepwise approach supports large-scale transformations by explicitly delineating and organizing the tasks. Users can integrate these steps into broader toolchains or batch pipelines for consistent, methodical expansion processes.

Commit count: 634

cargo fmt