🧭 DAT v2.0.0-alpha.1

🧭 DAT v2.0.0-alpha.1 — “Schema Linkage” Release

Release date: October 2025
Tag: v2.0.0-alpha.1
Stability: Pre-production (alpha)
Compatible with: LRC v2.0.0-alpha.1 and later

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🚀 Overview

This release marks the transformation of DAT (Data Audit & Trust Framework) from a standalone audit CLI into a schema-aware, LRC-linked system. It now integrates directly with LRC’s Local Repo Compiler to provide self-documenting repository generation, verification, and compliance scoring.

DAT v2.0 introduces full modular scanning, enhanced report pipelines, PDF and JSONL exports, and early trust-layer features for future distributed audits.

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🧩 Key New Features

🧠 1. LRC Integration

New module src/dat/integration/lrc.py bridges DAT and LRC.

DAT now reads .lrc schema metadata to generate context-rich reports.

Automatically associates audit logs with LRC build metadata.

Supports bidirectional workflow:

dat --from-lrc
lrc --from-dat

🪶 2. Modular Scanner Architecture

Introduced src/dat/scanner/core.py with dynamic import support.

Each scanning function can now be registered as a plugin:

from dat.scanner import register_check
@register_check("compliance.todo")
def detect_todos(file): ...

Adds new --modules, --safe, and --deep CLI flags.

📜 3. Enhanced Audit & Logging

Audit logs in JSONL under `.dat/audit/ or configurable directory.

PDF report generation via src/dat/pdf/report.py.

Local signature verification through src/dat/integration/signing.py.

⚙️ 4. Rule Engine Refactor

src/dat/rules/engine.py introduces modular rulesets with tagging support:

@rule("compliance.todo", tags=["lint", "style"])

JSON schema validation supported for LRC integration files.

🧾 5. Report Composition

Reports now include:

metadata: author, date, fingerprint.

stats: total scanned, skipped, violations, errors.

summary: compact overview.

detail: per-file results.

New flags:

--report audit.jsonl

--report audit.md

--sign (generate .asc signature)

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🛡️ Security & Signing

Added signing with GPG (loopback mode supported).

CI workflow .github/workflows/sign-and-release.yml automatically builds, signs, and publishes releases.

Sample usage:

gpg --import jadis_publickey.asc
dat --sign

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🧰 Developer Enhancements

Modularized folder structure:

src/dat/
├── cli.py
├── scanner/
├── rules/
├── pdf/
├── logging/
└── integration/

Updated dependencies:

rich, typer, pypdf2, jsonschema

Improved developer ergonomics with pyproject.toml & requirements.txt.

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🧪 Testing & QA

Unit tests added:

tests/test_scanner.py

tests/test_cli.py

Deprecated:

tests/test_core.py

Coverage extended to core modules and CLI flows.

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🧩 Integration Highlights

Designed for full symbiosis with LRC v2.0.0-alpha.1:

Shared schema definition.

Shared signing key.

Compatible CI pipelines.

Unified audit → build → release workflow.

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🔮 Roadmap to 2.0.0-beta

Expand rule libraries (e.g., license, security, dependency checks).

Add dat serve for local API/GUI dashboards.

Integrate project scoring model (“Trust Index”).

Prepare migration scripts for v2.0.0-beta stabilization.

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🧾 Checksum & Signatures

Tag: v2.0.0-alpha.1

Signature file: SHA256SUMS.asc

Verification:

gpg --verify SHA256SUMS.asc SHA256SUMS
sha256sum -c SHA256SUMS

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💡 Summary

DAT v2.0.0-alpha.1 establishes the foundation for intelligent, self-documenting repository auditing.
It introduces schema-driven scanning, cross-repo integration with LRC, and cryptographic audit trails—building toward a transparent, self-verifying ecosystem.

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DAT v2.0.0-Stable

Title: DAT v2.0.0-Stable

• Tag: v2.0.0-Stable

Summary:

Core stable release for the Dev Audit Tool.
Cross-platform (Linux, macOS, Windows, WSL2, Android/Termux).
Includes dependency auto-installer, DejaVu font setup, PDF export via ReportLab, and universal bootstrap.

Changelog Highlights:

• Full cross-platform installer (install_deps.sh)

• PDF export engine using ReportLab + DejaVu Sans Mono

• Bootstrap installer to ~/.local/bin (Linux/macOS), Termux, and Windows PATH auto-add

• Unified CLI arguments (-s, -i, -o, --max-lines, --max-size)

• Robust ignore pattern matching (.pyc, pycache, .git, node_modules)

• Stable summary reporting (line counts, sizes, top-N stats)

Dev Audit Tool (dat) v1.0.0 – One-Day Launch 🚀

dat is a fast, cross-platform developer audit tool that prints and summarizes all files in a directory and its subdirectories. Filter by code, documentation, media, or custom extensions, limit lines per file, skip large files, include hidden files, output to a file, and instantly see top files by size or line count. Configurable, bootstrap-ready, and perfect for quickly inspecting any project.

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(dat) v1.0.0 Highlights

🔹 Prints all files in a directory + subdirectories

🔹 Filter by type: code, docs, media, or custom extensions

🔹 Limit lines per file; skip large files

🔹 Include hidden files (dotfiles)

🔹 Current folder only option (no recursion)

🔹 Output results to a file

🔹 Top files summary by size or line count

🔹 Cross-platform: Linux, macOS, Windows, Android/Termux

🔹 Bootstrap installer for first-run convenience

🔹 Configurable via ~/.datconfig

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Installation & Setup

1. Clone the repository

git clone https://github.com/Justadudeinspace/dat.git
cd dat

2. Install Python dependencies

pip install -r requirements.txt

3. Install system libraries

Linux: sudo apt install -y libmagic1 libmagic-dev

macOS: brew install libmagic

Windows: pip install python-magic-bin

Termux/Android: pkg install libmagic

4. Optional enhancements

pip install colorama Pillow PyPDF2

5. Bootstrap installer (first run)

chmod +x dat
python dat

Use --no-bootstrap to skip first-run installation.

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Usage Examples

# Audit current directory (all files)
dat

# Only code files
dat -c

# Only docs
dat -d

# Only media
dat -m

# Custom extensions
dat -e py,js,html

# Include hidden files
dat -a

# Only current folder, no recursion
dat -f

# Output to a file
dat -o audit.txt

# Limit lines per file
dat --max-lines 200

# Show top 10 files
dat --top-n 10

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Configuration

dat optionally reads from ~/.datconfig for:

File type extensions

Maximum lines and file size

Top files to summarize

Custom extensions

Full configuration example is provided in the repository.

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Example Output

DEV AUDIT SUMMARY
===============================
Total files processed: 120
Total lines: 12,345
Total size: 24.8 MB
Code files: 45, Docs: 35, Media: 30, Other: 10

Top 5 files by lines:
   2456 lines | ./src/main.py
   1789 lines | ./lib/utils.py
   ...

Top 5 files by size:
   3.5 MB | ./assets/video.mp4
   1.2 MB | ./docs/manual.pdf
   ...

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Requirements

• Python 3.9+

• python-magic (or python-magic-bin on Windows)

• Optional: colorama, Pillow, PyPDF2

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License

MIT License – See LICENSE file.

Full Changelog: https://github.com/Justadudeinspace/dat/commits/v1.0.0