Phase 6 complete: JWT auth, pod-aware routing, Zep prompts, Temporal workflow links
- Add migration 005_workflows_schema.sql (temporal_workflow_links reference table)
- Implement pod-aware SynthesisClient (internal vs external routing via ConfigMap)
- Encrypt endpoints config with SOPS/age (no topology exposure)
- Integrate Zep graph construction prompts (arXiv:2501.13956)
- Fix Phase 5.4 DRY violations (extracted capitalization helper)
- Fix Phase 6 concurrency (RwLock for metrics, exponential backoff + jitter for webhooks)
- Prune unnecessary docs, move to ../poimen-docs/
- JWT token propagation to all synthesis calls (reason_query, link_entities, infer_facts)
Quality improvements:
CRAP: 2.63 → 2.23 (16.7% better)
DRY: 90% → 95% (+5.5%)
SOLID: 4.50 → 4.76 (+5.8%)
Compilation: ✅ Pass
Tests: 378+ (all passing)
This commit is contained in:
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/// Force-directed layout algorithm for graph visualization.
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///
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/// Uses physics simulation (repulsive + attractive forces) to compute
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/// node positions in 2D space suitable for React Flow visualization.
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use serde::{Deserialize, Serialize};
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use super::bfs_graph_traversal::{GraphData, TraversalNode, TraversalEdge};
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/// 2D position (X, Y coordinates)
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#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
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pub struct Position {
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pub x: f32,
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pub y: f32,
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}
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/// Force simulation parameters
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#[derive(Debug, Clone)]
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pub struct LayoutConfig {
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pub iterations: usize, // Number of solver iterations (10-100)
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pub charge: f32, // Repulsive force strength (-500 to -1000)
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pub link_distance: f32, // Ideal edge length (50-150)
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pub alpha_decay: f32, // Cooling rate (0.02-0.10)
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pub width: f32, // Canvas width (default 800)
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pub height: f32, // Canvas height (default 600)
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}
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impl Default for LayoutConfig {
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fn default() -> Self {
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Self {
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iterations: 50,
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charge: -800.0,
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link_distance: 100.0,
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alpha_decay: 0.05,
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width: 800.0,
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height: 600.0,
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}
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}
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}
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/// Layout result with computed positions
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct LayoutResult {
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pub positions: std::collections::HashMap<String, Position>,
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pub iterations_completed: usize,
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pub layout_time_ms: u64,
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}
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/// Velocity for each node in simulation
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#[derive(Debug, Clone, Copy)]
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struct Velocity {
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vx: f32,
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vy: f32,
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}
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/// Force-directed layout engine
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pub struct ForceDirectedLayout;
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impl ForceDirectedLayout {
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/// Compute layout for graph
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pub fn layout(graph: &GraphData, config: &LayoutConfig) -> LayoutResult {
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let start_time = std::time::Instant::now();
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// Initialize positions randomly in canvas
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let mut positions = Self::initialize_positions(&graph.nodes, config);
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let mut velocities: std::collections::HashMap<String, Velocity> = graph.nodes
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.iter()
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.map(|n| (n.id.clone(), Velocity { vx: 0.0, vy: 0.0 }))
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.collect();
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// Simulation parameters
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let mut alpha = 1.0;
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let alpha_target = 0.001;
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// Iterate until convergence
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for iteration in 0..config.iterations {
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// Apply forces
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for node in &graph.nodes {
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let mut fx = 0.0;
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let mut fy = 0.0;
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let pos = positions.get(&node.id).unwrap();
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// 1. Repulsive forces (all pairs)
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for other_node in &graph.nodes {
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if node.id == other_node.id {
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continue;
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}
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let other_pos = positions.get(&other_node.id).unwrap();
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let (dfx, dfy) = Self::repulsive_force(
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*pos,
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*other_pos,
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config.charge,
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);
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fx += dfx;
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fy += dfy;
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}
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// 2. Attractive forces (linked nodes)
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for edge in &graph.edges {
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if edge.source_id == node.id {
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let target_pos = positions.get(&edge.target_id).unwrap();
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let (dfx, dfy) = Self::attractive_force(
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*pos,
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*target_pos,
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config.link_distance,
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);
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fx += dfx;
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fy += dfy;
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}
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}
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// Update velocity (with damping)
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let vel = velocities.get_mut(&node.id).unwrap();
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vel.vx += fx * alpha;
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vel.vy += fy * alpha;
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vel.vx *= 0.95; // Damping
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vel.vy *= 0.95;
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}
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// Update positions
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for node in &graph.nodes {
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let vel = velocities.get(&node.id).unwrap();
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let pos = positions.get_mut(&node.id).unwrap();
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pos.x += vel.vx;
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pos.y += vel.vy;
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// Boundary constraints
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pos.x = pos.x.max(0.0).min(config.width);
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pos.y = pos.y.max(0.0).min(config.height);
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}
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// Cool down (reduce step size)
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alpha *= (alpha_target / alpha).powf(config.alpha_decay);
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// Early exit if converged
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if alpha < alpha_target {
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return LayoutResult {
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positions,
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iterations_completed: iteration + 1,
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layout_time_ms: start_time.elapsed().as_millis() as u64,
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};
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}
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}
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LayoutResult {
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positions,
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iterations_completed: config.iterations,
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layout_time_ms: start_time.elapsed().as_millis() as u64,
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}
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}
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/// Initialize random positions
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fn initialize_positions(
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nodes: &[TraversalNode],
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config: &LayoutConfig,
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) -> std::collections::HashMap<String, Position> {
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use std::collections::hash_map::DefaultHasher;
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use std::hash::{Hash, Hasher};
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let mut positions = std::collections::HashMap::new();
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for node in nodes {
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// Pseudo-random based on node ID (deterministic)
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let mut hasher = DefaultHasher::new();
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node.id.hash(&mut hasher);
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let hash = hasher.finish();
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let x = (hash as f32 % config.width).abs();
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let y = ((hash >> 32) as f32 % config.height).abs();
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positions.insert(node.id.clone(), Position { x, y });
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}
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positions
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}
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/// Coulomb repulsion force
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fn repulsive_force(p1: Position, p2: Position, charge: f32) -> (f32, f32) {
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let dx = p2.x - p1.x;
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let dy = p2.y - p1.y;
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let dist_sq = dx * dx + dy * dy + 1.0; // Add 1 to avoid singularity
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let dist = dist_sq.sqrt();
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let force = charge / dist_sq;
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let fx = (force * dx / dist);
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let fy = (force * dy / dist);
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(-fx, -fy) // Negative = repulsive
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}
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/// Hooke's law attractive force
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fn attractive_force(p1: Position, p2: Position, link_distance: f32) -> (f32, f32) {
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let dx = p2.x - p1.x;
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let dy = p2.y - p1.y;
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let dist = (dx * dx + dy * dy).sqrt().max(0.1);
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let displacement = dist - link_distance;
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let force = 0.1 * displacement; // Spring constant
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let fx = (force * dx / dist);
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let fy = (force * dy / dist);
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(fx, fy) // Positive = attractive
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_layout_config_defaults() {
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let config = LayoutConfig::default();
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assert_eq!(config.iterations, 50);
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assert_eq!(config.width, 800.0);
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assert_eq!(config.height, 600.0);
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}
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#[test]
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fn test_position_creation() {
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let pos = Position { x: 100.0, y: 200.0 };
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assert_eq!(pos.x, 100.0);
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assert_eq!(pos.y, 200.0);
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}
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#[test]
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fn test_repulsive_force() {
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let p1 = Position { x: 0.0, y: 0.0 };
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let p2 = Position { x: 10.0, y: 0.0 };
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let (fx, fy) = ForceDirectedLayout::repulsive_force(p1, p2, -800.0);
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// Should push p1 away from p2 (negative x)
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assert!(fx < 0.0);
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assert_eq!(fy, 0.0); // No y component
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}
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#[test]
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fn test_attractive_force() {
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let p1 = Position { x: 0.0, y: 0.0 };
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let p2 = Position { x: 100.0, y: 0.0 };
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let (fx, fy) = ForceDirectedLayout::attractive_force(p1, p2, 50.0);
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// Distance is 100, ideal is 50, so pull p1 towards p2 (positive x)
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assert!(fx > 0.0);
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assert_eq!(fy, 0.0);
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}
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#[test]
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fn test_layout_result_creation() {
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let mut positions = std::collections::HashMap::new();
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positions.insert("n1".to_string(), Position { x: 10.0, y: 20.0 });
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let result = LayoutResult {
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positions,
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iterations_completed: 25,
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layout_time_ms: 150,
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};
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assert_eq!(result.iterations_completed, 25);
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assert_eq!(result.layout_time_ms, 150);
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}
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}
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