b9ffc13caf
Extiende el modelo agnostico de graph_types.h para soportar shapes/iconos/ filtros/labels/streaming sin acoplar a backend. Migra el unico consumer (demos_graph) en el mismo cambio. - GraphNode v2: type_id + shape_override/color_override/size_override + flags (NF_PINNED/VISIBLE/SELECTED/HOVERED) + label_idx + user_data. - GraphEdge v2: type_id + style_override + flags (EF_DIRECTED/VISIBLE). - EntityType / RelationType: tablas en GraphData (types, rel_types). - Helpers de resolucion (resolve_node_color/shape/size, resolve_edge_*) y constructores ergonomicos (graph_node, graph_edge, entity_type, relation_type) — sentinel-based para herencia automatica del tipo. - graph_renderer v1.4: lee NF_VISIBLE / EF_VISIBLE, resuelve apariencia via override → EntityType → fallback indexado por type_id. Skipea aristas con endpoints invisibles. Shapes siguen pintandose como circulo (0049f cableara el dispatch real). - graph_force_layout v1.2: pinned ahora vive en flags & NF_PINNED. - graph_viewport v1.1: hover/seleccion publican NF_HOVERED/SELECTED en el grafo (clear-then-set). Drag usa NF_PINNED. Tooltip muestra Type/ user_data en lugar de community/value/label. - demos_graph: 8 EntityType (paleta antigua) + 1 RelationType. type_id por cluster. user_data = indice numerico del nodo. Apariencia visual identica al pre-cambio. - test_graph_types.cpp: 12 casos cubriendo helpers, defaults, bitmask manipulation y resoluciones override-vs-EntityType. test_graph_edge_ static actualizado al nuevo modelo (ya no tiene .color directo). - 4 .md de tipos nuevos (graph_node, graph_edge, entity_type, relation_type) + GraphData v2.0 actualizado. Tests: 31/31 ctest verdes (incluye test_visual golden). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
383 lines
14 KiB
C++
383 lines
14 KiB
C++
#include "viz/graph_force_layout.h"
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#include "viz/graph_types.h"
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#include <cmath>
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#include <cstdlib>
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#include <algorithm>
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#include <vector>
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// ---------------------------------------------------------------------------
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// Quadtree for Barnes-Hut approximation
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// ---------------------------------------------------------------------------
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struct QuadNode {
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float cx, cy; // center of mass
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float mass; // total mass (node count in subtree)
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float x0, y0; // bounding box min
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float x1, y1; // bounding box max
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int children[4]; // NW=0, NE=1, SW=2, SE=3 (-1 = empty)
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int body; // node index if leaf (-1 if internal)
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};
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// Pool dinamico — antes era un array static QuadNode[1<<20] (~48MB siempre
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// reservados, tope rigido en ~250k nodos por la fan-out del subdivide).
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// Ahora se redimensiona UNA VEZ al inicio de cada step segun el N del grafo
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// (5*N + 1024 celdas como cota holgada para subdivisiones). Despues de eso
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// quad_new solo incrementa quad_count, asi que las referencias QuadNode& que
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// se mantienen vivas durante la construccion del arbol son seguras.
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static std::vector<QuadNode> quad_pool;
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static int quad_count = 0;
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static int quad_new(float x0, float y0, float x1, float y1) {
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if (quad_count >= (int)quad_pool.size()) return -1; // pool agotado
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int idx = quad_count++;
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QuadNode& q = quad_pool[idx];
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q.cx = 0; q.cy = 0; q.mass = 0;
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q.x0 = x0; q.y0 = y0; q.x1 = x1; q.y1 = y1;
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q.children[0] = q.children[1] = q.children[2] = q.children[3] = -1;
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q.body = -1;
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return idx;
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}
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// Garantiza que el pool tenga al menos `need` celdas disponibles. Llamar
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// ANTES de empezar a construir el arbol para evitar invalidar referencias
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// QuadNode& durante quad_subdivide / quad_insert_body.
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static void quad_pool_reserve(size_t need) {
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if (quad_pool.size() < need) quad_pool.resize(need);
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}
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// Determine quadrant index for point (px,py) relative to cell midpoint.
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// 0=NW, 1=NE, 2=SW, 3=SE
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static int quad_child_idx(const QuadNode& q, float px, float py) {
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float mx = (q.x0 + q.x1) * 0.5f;
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float my = (q.y0 + q.y1) * 0.5f;
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int xi = (px >= mx) ? 1 : 0;
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int yi = (py >= my) ? 2 : 0;
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return xi | yi;
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}
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// Subdivide cell qi into four children.
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static void quad_subdivide(int qi) {
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QuadNode& q = quad_pool[qi];
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float mx = (q.x0 + q.x1) * 0.5f;
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float my = (q.y0 + q.y1) * 0.5f;
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// NW
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quad_pool[qi].children[0] = quad_new(q.x0, q.y0, mx, my);
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// NE
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quad_pool[qi].children[1] = quad_new(mx, q.y0, q.x1, my);
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// SW
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quad_pool[qi].children[2] = quad_new(q.x0, my, mx, q.y1);
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// SE
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quad_pool[qi].children[3] = quad_new(mx, my, q.x1, q.y1);
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}
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// Insert body (node_idx at position nx,ny with mass nmass) into cell qi.
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// Uses iterative descent to avoid stack overflow on deep trees.
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static void quad_insert(int root, int node_idx, float nx, float ny, float nmass) {
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int qi = root;
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while (qi >= 0) {
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QuadNode& q = quad_pool[qi];
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// Update center of mass
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float total = q.mass + nmass;
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q.cx = (q.cx * q.mass + nx * nmass) / total;
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q.cy = (q.cy * q.mass + ny * nmass) / total;
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q.mass = total;
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if (q.body == -1 && q.children[0] == -1) {
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// Empty leaf: place body here
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q.body = node_idx;
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return;
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}
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if (q.body >= 0) {
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// Leaf with existing body: subdivide, push existing body down
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quad_subdivide(qi);
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// Move old body into correct child (re-read q after subdivide since pool may shift)
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QuadNode& qq = quad_pool[qi];
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int old_body = qq.body;
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float obx = /* we need positions */ 0, oby = 0;
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// We store positions in the GraphData, pass via closure is not possible here.
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// Instead we pass a pointer to positions alongside. We'll fix this by using
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// a file-scope pointer set before each build.
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(void)old_body; (void)obx; (void)oby;
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// NOTE: positions accessed via file-scope g_nodes pointer below.
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qq.body = -1;
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}
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int ci = quad_child_idx(quad_pool[qi], nx, ny);
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qi = quad_pool[qi].children[ci];
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}
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}
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// File-scope pointers set before each tree build (avoids passing them everywhere).
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static const GraphNode* g_nodes = nullptr;
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// Insert body knowing positions from g_nodes.
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static void quad_insert_body(int qi, int node_idx) {
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float nx = g_nodes[node_idx].x;
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float ny = g_nodes[node_idx].y;
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const float nmass = 1.0f;
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while (qi >= 0) {
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QuadNode& q = quad_pool[qi];
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float total = q.mass + nmass;
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q.cx = (q.cx * q.mass + nx * nmass) / total;
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q.cy = (q.cy * q.mass + ny * nmass) / total;
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q.mass = total;
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if (q.body == -1 && q.children[0] == -1) {
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// Empty leaf
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q.body = node_idx;
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return;
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}
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if (q.children[0] == -1) {
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// Leaf occupied: subdivide and push existing body down
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int old_body = q.body;
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q.body = -1;
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quad_subdivide(qi);
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// Push old body into child
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int old_ci = quad_child_idx(quad_pool[qi], g_nodes[old_body].x, g_nodes[old_body].y);
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int old_child = quad_pool[qi].children[old_ci];
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if (old_child >= 0) {
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QuadNode& oc = quad_pool[old_child];
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oc.cx = g_nodes[old_body].x;
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oc.cy = g_nodes[old_body].y;
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oc.mass = 1.0f;
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oc.body = old_body;
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}
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}
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int ci = quad_child_idx(quad_pool[qi], nx, ny);
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qi = quad_pool[qi].children[ci];
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}
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}
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// Compute Barnes-Hut repulsion force on node at (nx,ny) from subtree qi.
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// Accumulates force into (fx, fy).
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static void quad_force(int qi, float nx, float ny,
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float theta, float repulsion, float min_dist,
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float& fx, float& fy) {
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// Stack en pila de la funcion: thread-safe (la version anterior con
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// `static` se rompia bajo OpenMP). La profundidad de un quadtree con N
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// bodies acotada por log4(N) ~= 10 niveles para N <= 1M, asi que 256
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// entradas son holgadas para todos los pushes simultaneos.
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int stack[256];
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int top = 0;
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stack[top++] = qi;
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while (top > 0) {
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int ci = stack[--top];
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if (ci < 0) continue;
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const QuadNode& q = quad_pool[ci];
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if (q.mass == 0) continue;
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float dx = q.cx - nx;
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float dy = q.cy - ny;
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float dist2 = dx * dx + dy * dy;
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float dist = std::sqrt(dist2);
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if (dist < min_dist) dist = min_dist;
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// Cell size
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float cell_size = q.x1 - q.x0;
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// Use multipole approximation if far enough OR if leaf
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bool is_leaf = (q.children[0] == -1);
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if (is_leaf || (cell_size / dist) < theta) {
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// Coulomb repulsion: F = repulsion * mass / dist^2
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float force = repulsion * q.mass / (dist * dist);
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fx -= force * dx / dist;
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fy -= force * dy / dist;
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} else {
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// Push children
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for (int k = 0; k < 4; ++k) {
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if (q.children[k] >= 0)
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stack[top++] = q.children[k];
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}
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}
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}
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}
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// ---------------------------------------------------------------------------
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// Public API
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// ---------------------------------------------------------------------------
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float graph_force_layout_step(GraphData& graph, const ForceLayoutConfig& config) {
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if (graph.node_count <= 0) return 0.0f;
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// Temporary force accumulators (stack-allocated for small graphs, static for large)
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static float* fx_buf = nullptr;
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static float* fy_buf = nullptr;
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static int buf_cap = 0;
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if (graph.node_count > buf_cap) {
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delete[] fx_buf;
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delete[] fy_buf;
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buf_cap = graph.node_count + 64;
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fx_buf = new float[buf_cap];
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fy_buf = new float[buf_cap];
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}
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float total_energy = 0.0f;
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for (int iter = 0; iter < config.iterations; ++iter) {
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// Zero forces
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#pragma omp parallel for if(graph.node_count >= 1024) schedule(static)
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for (int i = 0; i < graph.node_count; ++i) {
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fx_buf[i] = 0.0f;
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fy_buf[i] = 0.0f;
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}
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// ---- Build Barnes-Hut quadtree ----
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// Compute bounding box of current positions
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float bx0 = graph.nodes[0].x, bx1 = graph.nodes[0].x;
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float by0 = graph.nodes[0].y, by1 = graph.nodes[0].y;
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for (int i = 1; i < graph.node_count; ++i) {
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float px = graph.nodes[i].x, py = graph.nodes[i].y;
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if (px < bx0) bx0 = px; if (px > bx1) bx1 = px;
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if (py < by0) by0 = py; if (py > by1) by1 = py;
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}
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// Add margin to avoid degeneracies
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float margin = (bx1 - bx0 + by1 - by0) * 0.05f + 1.0f;
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bx0 -= margin; bx1 += margin;
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by0 -= margin; by1 += margin;
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// Make it square
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float side = std::max(bx1 - bx0, by1 - by0);
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float cx = (bx0 + bx1) * 0.5f, cy = (by0 + by1) * 0.5f;
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bx0 = cx - side * 0.5f; bx1 = cx + side * 0.5f;
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by0 = cy - side * 0.5f; by1 = cy + side * 0.5f;
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// Reserva el pool antes de construir: 5*N + 1024 es cota holgada
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// para quadtrees de 2D (worst case ~4N celdas internas+hojas).
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quad_pool_reserve((size_t)graph.node_count * 5 + 1024);
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quad_count = 0;
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g_nodes = graph.nodes;
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int root = quad_new(bx0, by0, bx1, by1);
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for (int i = 0; i < graph.node_count; ++i) {
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quad_insert_body(root, i);
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}
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// ---- Repulsion via Barnes-Hut ----
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// Cada iteracion lee del quadtree (read-only) y escribe en su propio
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// slot de fx_buf/fy_buf — embarrassingly parallel. quad_force usa
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// stack local en pila, asi que es thread-safe.
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#pragma omp parallel for if(graph.node_count >= 1024) schedule(dynamic, 256)
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for (int i = 0; i < graph.node_count; ++i) {
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if (graph.nodes[i].flags & NF_PINNED) continue;
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quad_force(root,
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graph.nodes[i].x, graph.nodes[i].y,
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config.theta, config.repulsion, config.min_distance,
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fx_buf[i], fy_buf[i]);
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}
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// ---- Attraction along edges (spring force) ----
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for (int e = 0; e < graph.edge_count; ++e) {
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const GraphEdge& edge = graph.edges[e];
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int s = (int)edge.source;
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int t = (int)edge.target;
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if (s < 0 || s >= graph.node_count) continue;
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if (t < 0 || t >= graph.node_count) continue;
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float dx = graph.nodes[t].x - graph.nodes[s].x;
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float dy = graph.nodes[t].y - graph.nodes[s].y;
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float dist = std::sqrt(dx * dx + dy * dy);
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if (dist < config.min_distance) dist = config.min_distance;
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// F = k * dist * weight (Hooke: pulls toward equilibrium at 0)
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float force = config.attraction * dist * edge.weight;
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float fx_e = force * dx / dist;
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float fy_e = force * dy / dist;
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if (!(graph.nodes[s].flags & NF_PINNED)) { fx_buf[s] += fx_e; fy_buf[s] += fy_e; }
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if (!(graph.nodes[t].flags & NF_PINNED)) { fx_buf[t] -= fx_e; fy_buf[t] -= fy_e; }
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}
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// ---- Gravity toward center (0,0) ----
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if (config.gravity != 0.0f) {
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#pragma omp parallel for if(graph.node_count >= 1024) schedule(static)
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for (int i = 0; i < graph.node_count; ++i) {
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if (graph.nodes[i].flags & NF_PINNED) continue;
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fx_buf[i] -= config.gravity * graph.nodes[i].x;
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fy_buf[i] -= config.gravity * graph.nodes[i].y;
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}
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}
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// ---- Integrate: v = v * damping + F; pos += v ----
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total_energy = 0.0f;
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#pragma omp parallel for if(graph.node_count >= 1024) schedule(static) reduction(+:total_energy)
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for (int i = 0; i < graph.node_count; ++i) {
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GraphNode& n = graph.nodes[i];
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if (n.flags & NF_PINNED) continue;
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n.vx = n.vx * config.damping + fx_buf[i];
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n.vy = n.vy * config.damping + fy_buf[i];
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// Clamp velocity
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n.vx = std::max(-config.max_velocity, std::min(config.max_velocity, n.vx));
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n.vy = std::max(-config.max_velocity, std::min(config.max_velocity, n.vy));
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n.x += n.vx;
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n.y += n.vy;
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total_energy += n.vx * n.vx + n.vy * n.vy;
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}
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}
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graph.update_bounds();
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return total_energy;
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}
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void graph_force_layout_reset(GraphData& graph, float spread) {
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for (int i = 0; i < graph.node_count; ++i) {
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GraphNode& n = graph.nodes[i];
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if (n.flags & NF_PINNED) continue;
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// rand() produces [0, RAND_MAX]; map to [-spread, spread]
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n.x = spread * (2.0f * (float)rand() / (float)RAND_MAX - 1.0f);
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n.y = spread * (2.0f * (float)rand() / (float)RAND_MAX - 1.0f);
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n.vx = 0.0f;
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n.vy = 0.0f;
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}
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graph.update_bounds();
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}
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void graph_layout_circular(GraphData& graph, float radius) {
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if (graph.node_count <= 0) return;
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const float two_pi = 6.28318530718f;
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for (int i = 0; i < graph.node_count; ++i) {
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GraphNode& n = graph.nodes[i];
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if (n.flags & NF_PINNED) continue;
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float angle = two_pi * (float)i / (float)graph.node_count;
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n.x = radius * std::cos(angle);
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n.y = radius * std::sin(angle);
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n.vx = 0.0f;
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n.vy = 0.0f;
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}
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graph.update_bounds();
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}
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bool graph_force_layout_should_pause(int consecutive_low_frames, int min_consecutive) {
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if (min_consecutive <= 0) return true;
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return consecutive_low_frames >= min_consecutive;
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}
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void graph_layout_grid(GraphData& graph, float spacing) {
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if (graph.node_count <= 0) return;
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int cols = (int)std::ceil(std::sqrt((float)graph.node_count));
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int rows = (graph.node_count + cols - 1) / cols;
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float ox = -0.5f * (cols - 1) * spacing;
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float oy = -0.5f * (rows - 1) * spacing;
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for (int i = 0; i < graph.node_count; ++i) {
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GraphNode& n = graph.nodes[i];
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if (n.flags & NF_PINNED) continue;
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int col = i % cols;
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int row = i / cols;
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n.x = ox + col * spacing;
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n.y = oy + row * spacing;
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n.vx = 0.0f;
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n.vy = 0.0f;
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}
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graph.update_bounds();
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}
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