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Structures Graph Laravel Package

pear/structures_graph

PEAR Structures_Graph is a lightweight PHP library for creating and working with graphs (nodes and edges). It provides common graph data structures and algorithms for traversal and analysis, useful for dependency graphs, routing, and other graph-based problems.

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Getting Started

This is a minimal, standalone library for basic graph manipulation (nodes, edges, adjacency lists). Given its low star count and archived status, assume it's stable but no longer actively developed. Start by examining Pear\Structures_Graph class methods: addNode(), addEdge(), getNeighbors(), hasNode(), and dfs()/bfs() traversals. First use case: modeling simple directed/undirected relationships (e.g., dependency trees, category hierarchies) where heavy graph libraries like webmozart/graph would be overkill.

Implementation Patterns

  • Use Pear\Structures_Graph::setNodeType() and setEdgeType() to define node/edge metadata (e.g., 'type' => 'category').
  • Leverage adjacency-based traversal (getNeighbors()) for custom path logic instead of built-in dfs()/bfs(), as they return only node IDs and lack early-exit hooks.
  • Serialize graph state via toArray() for caching or export; reconstruct with Pear\Structures_Graph::loadFromArray().
  • For tree-like structures, enforce acyclic property manually—this library does not prevent cycles or validate DAG constraints.

Gotchas and Tips

  • No PSR compliance: Namespaces use Pear\Structures_Graph, not Pear_Structures_Graph (notice underscore vs backslash). Autoloading must match the PSR-0 legacy structure.
  • Arcane defaults: Edges are undirected by default. Use setDirected(true) to enforce directionality—forgot this and your adjacency lists will surprise you.
  • No weighted edges: Attempts to store weight in edge data require manual handling during traversal.
  • Debugging tip: Call printGraph() (not a PHP method—use var_dump() on the internal nodes array) since the class lacks a pretty-printer.
  • Extension point: Extend the class to add methods like findLongestPath() or topologicalSort()—the minimal core makes subclassing straightforward.
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