# 🌍 JQ::Lite — Design

## Purpose

`JQ::Lite` is a **lightweight JSON query engine** designed to make structured data
easy to filter, transform, and reuse across diverse environments.

Its goal is simple:

> **Make JSON processing reliable, portable, and human-readable — everywhere.**

---

## 1. Why Lightweight Matters

JSON has become the universal format for:

- APIs and service integration
- Observability and telemetry
- Configuration and automation
- Machine-to-machine communication

However, many environments still face practical constraints:

- Limited or restricted runtime environments
- Legacy or long-lived systems
- Minimal base images and offline deployments

`JQ::Lite` is built to operate reliably under these constraints,
providing a **small, dependency-minimal JSON processor** that can be used
where heavier tools are unavailable or impractical.

---

## 2. A Common Interface for Structured Data

`JQ::Lite` treats JSON as a **first-class interface** between systems.

Key design principles:

- JSON-in / JSON-out processing
- Compatibility with UNIX pipelines
- Identical behavior as a **CLI tool** and as a **library**

This makes it suitable for workflows where structured data flows between
scripts, services, automation tools, and humans.

---

## 3. Design Philosophy

`JQ::Lite` follows a conservative and long-term design approach:

- Prefer **clarity over cleverness**
- Favor **portability over performance tricks**
- Avoid unnecessary dependencies
- Maintain predictable behavior across versions

The goal is not to chase trends, but to provide a **stable, dependable utility**
that continues to work across time and platforms.

---

## 4. Open and Reproducible Workflows

Modern data pipelines often depend on proprietary platforms or tightly coupled
ecosystems.

`JQ::Lite` intentionally avoids this:

- Fully open source
- No vendor lock-in
- No cloud dependency
- Usable in restricted or offline environments

This allows users to build **reproducible, inspectable data transformations**
that can be versioned, audited, and shared.

---

## 5. Structured Data as Text

As infrastructure, observability, and automation increasingly rely on structured data,
text-based workflows remain essential.

`JQ::Lite` supports this by enabling:

- Text-based JSON transformations
- Git-friendly configuration and processing logic
- Simple integration with automation systems and scripts

This keeps data processing transparent, reviewable, and automatable.

---

## 6. Ecosystem Compatibility

`JQ::Lite` is designed to integrate naturally with other tools and workflows.

```text
JSON producer
    ↓
jq-lite (filter / transform)
    ↓
script / CLI / automation
```

The tool does not prescribe how data should be used —
it simply ensures that **extracting and shaping JSON remains easy and reliable**.

---

## Summary

| Aspect        | Focus                                             |
|---------------|---------------------------------------------------|
| Scope         | Lightweight JSON querying and transformation      |
| Philosophy    | Portability, clarity, long-term stability         |
| Usage         | CLI and library                                   |
| Environment  | Offline, restricted, legacy, and modern systems   |
| Longevity    | Designed to remain usable across platforms/years  |

---

## Conclusion

`JQ::Lite` aims to be a **small, dependable building block**
in the broader ecosystem of structured data processing.

By keeping JSON handling simple, portable, and transparent,
it helps ensure that data remains usable — regardless of environment or scale.

---

© 2025 Shingo Kawamura
