grammar-inference-engine/AGENTS.md
tobjend e94c52b71a
Some checks failed
ci/woodpecker/push/woodpecker Pipeline failed
ci/woodpecker/pr/woodpecker Pipeline failed
docs: update stale docs — remove kORE from default ensemble, add tag preprocessor CLI
2026-07-11 20:51:10 +02:00

61 lines
2.2 KiB
Markdown

# Grammar Inference Engine — Agent Guide
## Overview
This repo implements the BEX family of algorithms for inferring regular expression grammars
from example sequences. Use it whenever you need to discover the pattern behind a set of
strings or structured sequences.
## Quick Start for Agents
```python
# Fast pattern inference
from bex.crx import CRX
g = CRX().infer([['a','b','c'], ['a','b'], ['a','c']]) # a.(b+c)?
# Probabilistic k-ORE inference (handles noise better)
from bex.idregex import idregex
g = idregex([['a','b','c'], ['a','b'], ['a','c']], kmax=2, N=3)
```
## Use Cases
1. **Ansible role patterns** — extract module sequences from tasks/main.yml, learn per-category grammars
2. **Log analysis** — find common patterns in event sequences
3. **API call patterns** — learn the typical order of API operations
4. **Configuration structure** — discover the schema behind YAML files
5. **Workflow mining** — extract the typical task flow from process logs
## Architecture
Three inference pipelines:
| Pipeline | When to use |
|----------|-------------|
| CRX (fast) | Many examples, need speed, CHAREs output |
| iDRegEx (robust) | Few/noisy examples, need probabilistic handling |
| Tag Preprocessor (`bex.tag_preprocessor`) | Source code analysis — tree-sitter AST → method-level call sequences → per-package grammars |
## Running Tests
```bash
python -m pytest tests/
```
## MCP Server
The primary interface is an MCP server exposing a single tool:
| Tool | Parameters | What it does |
|------|-----------|-------------|
| `infer_best_grammar` | `sequences`, `prefer`, `kmax`, `N`, `min_coverage` | Runs CRX + iDRegEx, picks best by MDL. `prefer='crx'` or `prefer='idregex'` skips ensemble. `min_coverage < 1.0` runs core+outlier analysis. |
Start it: `python /path/to/bex/mcp_server.py`, then connect any MCP client.
## Tag Preprocessor CLI
For analyzing source code directories:
```bash
python -m bex.tag_preprocessor.analyze /path/to/codebase --verbose
python -m bex.tag_preprocessor.analyze /path/to/codebase --slice package --include '**/src/**'
```
Key flags: `--slice package` (per-directory grammars), `--verbose` (progress), `--include`/`--exclude` (glob filters), `--kore` (enable slow kORE in ensemble).