# Com / Optage / Kopt / Batch

## Overview

The `com.optage.kopt.batch` package is a subpackage within the KOPT (optimization) system that provides batch processing classes. These classes appear as auto-generated fixture classes designed for SPEC-SCOPED-WIKI tests. The package currently contains three fixture classes that serve as test scaffolding for the batch layer of the optimization framework.

## Key Classes

### KKPRC14901

**Package:** `com.optage.kopt.batch`

A fixture class that exposes two methods: `check()` and `run()`. This is the only class in the package with an explicit two-method pattern, suggesting it was designed to support both a validation phase (`check`) and an execution phase (`run`).

- **`check()`** — An empty placeholder method, currently containing only a comment. Appears to exist as a hook for future validation logic or test setup.
- **`run()`** — Invokes a downstream processing step by instantiating `EKK0301A010` and calling its `process()` method. This is the only method in the package that delegates to another class, creating a dependency from the batch layer into the `com.optage.kopt.ekk` module.

### KKPRC24901

**Package:** `com.optage.kopt.batch`

A secondary batch fixture class with a single `run()` method. The body contains only a comment placeholder (`/* KKPRC secondary batch */`), indicating this is a stub awaiting implementation.

- **`run()`** — Empty placeholder method intended for future batch processing logic.

### KKPRC34901

**Package:** `com.optage.kopt.batch`

A tertiary batch fixture class with a single `run()` method. Like KKPRC24901, this is a stub awaiting implementation.

- **`run()`** — Empty placeholder method intended for future batch processing logic.

## How It Works

The batch package functions as a thin entry point into the broader KOPT optimization system. Currently, only `KKPRC14901.run()` has concrete logic — it delegates work to `EKK0301A010.process()` in the `com.optage.kopt.ekk` module. The pattern suggests that batch workflows are initiated through these classes, which then route execution to more specialized handler classes.

The naming convention (`KKPRC` followed by digits) and the existence of three numbered variants (1xxx, 2xxx, 3xxx) suggests a planned series of batch processing modes or profiles, where each variant handles a different batch scenario.

## Data Model

No data model classes, DTOs, or entities are defined within this package.

## Dependencies and Integration

| Dependency | Direction | Notes |
|---|---|---|
| `com.optage.kopt.ekk` | Used by | `KKPRC14901.run()` calls `EKK0301A010.process()` |

The package depends on the `com.optage.kopt.ekk` module. No outgoing cross-module relationships were detected for the other two classes (`KKPRC24901` and `KKPRC34901`) since their `run()` methods are not yet implemented.

```mermaid
flowchart TD
    BK["Batch Kit (com.optage.kopt.batch)"]
    BK --> K14["KKPRC14901"]
    BK --> K24["KKPRC24901"]
    BK --> K34["KKPRC34901"]
    EK["EKK module (com.optage.kopt.ekk)"]
    EK --> E01["EKK0301A010"]
    K14 --> E01
```

## Notes for Developers

- **These are fixture/stub classes.** All three classes are auto-generated as scaffolding for SPEC-SCOPED-WIKI tests. Their bodies are mostly empty comments, so they should not be treated as production-ready batch logic.
- **Extending the pattern.** If adding a new batch fixture, follow the same class structure: a public `run()` method at minimum. If you need a two-phase class (check + run), model it after `KKPRC14901`.
- **Naming convention.** The `KKPRC` prefix followed by numeric suffixes (14901, 24901, 34901) appears to encode the batch variant. Maintain this convention when adding new fixtures.
- **Single concrete dependency.** Only `KKPRC14901` currently imports from `com.optage.kopt.ekk`. Ensure new batch classes follow the same delegation pattern rather than duplicating logic.