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How the Zig-backed instance graph works (GraphView/NodeReference/EdgeReference), the real Python API surface, and the invariants around allocation, attributes, and cleanup.

Install

mkdir -p .claude/skills/graph && curl -L -o skill.zip "https://mcp.directory/api/skills/download/2103" && unzip -o skill.zip -d .claude/skills/graph && rm skill.zip

Installs to .claude/skills/graph

About this skill

Graph Module

The faebryk.core.graph module is a thin Python wrapper around the Zig graph implementation.

Source-of-truth for behavior is:

  • Zig implementation: src/faebryk/core/zig/src/graph/graph.zig
  • Python bindings: src/faebryk/core/zig/src/python/graph/graph_py.zig
  • Public Python API surface (stubs): src/faebryk/core/zig/gen/graph/graph.pyi

Quick Start

from faebryk.core.graph import GraphView

g = GraphView.create()
try:
    _ = g.create_and_insert_node()
finally:
    g.destroy()

Relevant Files

  • Python wrapper/re-export: src/faebryk/core/graph.py
  • Zig graph core: src/faebryk/core/zig/src/graph/graph.zig
  • Zig → Python wrappers: src/faebryk/core/zig/src/python/graph/graph_py.zig
  • Generated type stubs: src/faebryk/core/zig/gen/graph/graph.pyi

Dependants (Call Sites)

  • src/faebryk/core/node.py (FabLL: nodes/traits are graph-backed)
  • src/atopile/compiler/gentypegraph.py (compiler constructs typegraphs/instances via graph APIs)
  • src/faebryk/core/graph_render.py (graph visualization)

How to Work With / Develop / Test

Mental Model

  • NodeReference / EdgeReference: value-like handles (UUIDs) into global backing storage in Zig.
  • GraphView: a membership + adjacency view over those references (per-view arena + maps + bitsets).
  • BoundNode / BoundEdge: “reference + owning GraphView pointer” wrappers used for traversal helpers.

Core Invariants (do not violate)

  • No direct constructors: GraphView(), NodeReference(), EdgeReference() are not meant to be called; use the exposed factory methods.
    • GraphView.create()
    • NodeReference.create(**attrs)
    • EdgeReference.create(source=..., target=..., edge_type=..., **attrs)
  • Explicit cleanup: GraphView.create() allocates a Zig-side graph on the C allocator; it is freed only by GraphView.destroy().
    • Do not rely on Python GC to reclaim Zig allocations.
  • Attribute limits: node/edge dynamic attributes are fixed-capacity in Zig (currently 6 entries). Exceeding this is a hard failure.
  • Edge type width: edge types are u8 in Zig; treat them as 0..255 in Python (hashing/modulo happens on the Zig side).
  • Self node exists: GraphView.init inserts a self_node; counts include it.

API Cheatsheet (matches src/faebryk/core/zig/gen/graph/graph.pyi)

from faebryk.core.graph import GraphView, Node, Edge

g = GraphView.create()
try:
    n1 = g.create_and_insert_node()           # -> BoundNode
    n2 = Node.create(name="n2")               # -> NodeReference (not inserted yet)
    bn2 = g.insert_node(node=n2)              # -> BoundNode

    e = Edge.create(source=n1.node(), target=bn2.node(), edge_type=7, name="link")
    _be = g.insert_edge(edge=e)               # -> BoundEdge
finally:
    g.destroy()

Debugging

  • GraphView.__repr__() prints GraphView(id=..., |V|=..., |E|=...) from Zig.
  • Graph wrapper has a stress test: python -m faebryk.core.graph (runs test_graph_garbage_collection).

Development Workflow

  1. Zig changes: edit src/faebryk/core/zig/src/graph/*.
  2. Rebuild: ato dev compile (imports faebryk.core.zig, which compiles in editable installs).
  3. If you add/remove exposed methods: update the wrapper in src/faebryk/core/zig/src/python/graph/graph_py.zig and ensure stubs regenerate.

Testing

Key test entrypoints:

  • Python: python -m faebryk.core.graph
  • Zig: zig test src/faebryk/core/zig/src/graph/graph.zig

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