- setup_env.sh creates ~/luminos-env venv and installs all AI packages - CLAUDE.md updated to reflect the new dependency model: base tool is zero-dep, --ai requires packages installed via venv - Documents the capabilities module and updated ai.py architecture Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
3.4 KiB
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Running Luminos
# Basic scan
python3 luminos.py <target_directory>
# With AI analysis (requires ANTHROPIC_API_KEY env var)
python3 luminos.py --ai <target_directory>
# JSON output to file
python3 luminos.py --json -o report.json <target_directory>
# Watch mode (re-scans every 30s, shows diffs)
python3 luminos.py --watch <target_directory>
There is no build step, no test suite, and no linter configured.
Architecture
The base tool is a zero-dependency Python CLI (stdlib only). The --ai flag requires optional pip packages installed in a venv. The entry point luminos.py defines scan() which orchestrates all analysis modules and returns a report dict, and main() which handles argument parsing and output routing.
Each analysis capability lives in its own module under luminos_lib/:
| Module | Purpose | External commands used |
|---|---|---|
tree.py |
Recursive directory tree with file sizes | None (uses os) |
filetypes.py |
Classifies files into 7 categories (source, config, data, media, document, archive, unknown) | file --brief |
code.py |
Language detection, LOC counting, large file flagging | wc -l |
recency.py |
Finds N most recently modified files | find -printf |
disk.py |
Per-directory disk usage | du -b |
report.py |
Formats the report dict as human-readable terminal output | None |
ai.py |
Multi-pass agentic directory analysis via Claude API (streaming, token counting, caching) | Requires anthropic, tree-sitter, python-magic |
capabilities.py |
Optional dependency detection, cache cleanup | None |
watch.py |
Continuous monitoring loop with snapshot diffing | None (re-uses filetypes.classify_files) |
Data flow: scan() builds a report dict → optional analyze_directory() adds AI fields → format_report() or json.dumps() produces output.
Optional Dependencies (--ai flag only)
The base tool requires zero pip packages. The --ai flag requires:
# One-time setup
bash setup_env.sh
# Or manually:
python3 -m venv ~/luminos-env
source ~/luminos-env/bin/activate
pip install anthropic tree-sitter tree-sitter-python \
tree-sitter-javascript tree-sitter-rust \
tree-sitter-go python-magic
Check current status with python3 luminos.py --install-extras.
Always activate the venv before using --ai:
source ~/luminos-env/bin/activate
python3 luminos.py --ai <target_directory>
Key Constraints
- Base tool: no pip dependencies. The base scan (tree, file types, code, disk, recency, report, watch) uses only stdlib and GNU coreutils. It must always work on a bare Python 3 install.
- AI deps are gated. The
anthropic,tree-sitter, andpython-magicpackages are imported lazily, only when--aiis used. Missing packages produce a clear error with the install command. - Subprocess for OS tools. Line counting, file detection, disk usage, and recency all shell out to GNU coreutils. Do not reimplement these in pure Python.
- AI is opt-in. The
--aiflag gates all Claude API calls. Without it (or withoutANTHROPIC_API_KEY), the tool must produce a complete report with no errors. - Graceful degradation everywhere. Permission denied, subprocess timeouts, missing API key — all handled without crashing.