Audiobook Pipeline

B 80 completed
Other
cli / python · small
180
Files
25,572
LOC
1
Frameworks
7
Languages

Pipeline State

completed
Run ID
#375294
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
42.00
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47545
Member of a group with 1 similar repo(s) — canonical #99059 view group →
Top concepts (2)
Project DescriptionTesting
Repobility — the code-quality scanner for AI-generated software · https://repobility.com

AI Prompt

Create a command-line tool in Python to convert various audio files (like MP3, FLAC, OGG, M4A, WMA) into chaptered M4B audiobooks. The tool needs to pull rich metadata from the Audible catalog API, with Audnexus as a fallback, and support fixing metadata on existing M4B files. It should handle organization into a Plex-ready folder structure like `Author/Book (Year)/Book.m4b`. Crucially, it must be idempotent, using SQLite to track state so processing can resume automatically. Also, include support for different processing levels: `simple`, `normal`, `ai`, and `full`, which dictate metadata enrichment and conflict resolution.
python cli audiobook m4b audio-processing metadata audible-api ffmpeg command-line
Generated by gemma4:latest

Catalog Information

Convert audio files to chaptered M4B audiobooks with rich metadata from the Audible catalog.

Description

Convert audio files to chaptered M4B audiobooks with rich metadata from the Audible catalog.

Novelty

3/10

Tags

python cli audiobook m4b audio-processing metadata audible-api ffmpeg command-line

Technologies

openai pydantic

Claude Models

claude-opus-4-6

Quality Score

B
80.2/100
Structure
92
Code Quality
72
Documentation
81
Testing
75
Practices
79
Security
84
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (49% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • 668 duplicate lines detected \u2014 consider DRY refactoring
  • 3 'god files' with >500 LOC need decomposition

Security & Health

8.3h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
MIT
License
3.7%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
46.0%
markdown
43.0%
shell
10.7%
yaml
0.1%
toml
0.1%
json
0.1%
text
0.0%

Frameworks

pytest

Concepts (2)

Repobility · code-quality scanner for AI-generated software · https://repobility.com
CategoryNameDescriptionConfidence
Repobility — same analyzer, your code, free for public repos · /scan/
auto_descriptionProject DescriptionConvert audio files to chaptered M4B audiobooks with rich metadata from the Audible catalog.80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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