A synthetic 6-file Python codebase modeled after httpx's architecture. Tests graphify on a realistic library codebase with clean layering: exceptions → models → auth/transport → client.

Corpus (6 files)

All input files are in raw/:

raw/
├── exceptions.py   — full HTTPError hierarchy (RequestError, TransportError, HTTPStatusError, etc.)
├── models.py       — URL, Headers, Cookies, Request, Response with raise_for_status
├── auth.py         — BasicAuth, BearerAuth, DigestAuth (challenge-response), NetRCAuth
├── utils.py        — header normalization, query param flattening, content-type parsing
├── transport.py    — ConnectionPool, HTTPTransport, AsyncHTTPTransport, MockTransport, ProxyTransport
└── client.py       — Timeout, Limits, BaseClient, Client (sync), AsyncClient

How to run

pip install graphifyy && graphify install
/graphify ./raw

Or from the CLI directly:

pip install graphifyy
graphify ./raw

What to expect

~95 nodes, ~130 edges
4 communities: Exception Hierarchy, Models & Data, Auth & Transport, Client Layer
God nodes: client.py, models.py, transport.py, exceptions.py, BaseClient, Response
Surprising connections: DigestAuth ↔ Response (auth.py reads Response to parse WWW-Authenticate)
All edges EXTRACTED — no inference needed, dependency graph is explicit

Full eval with scores and analysis: review.md