Files
whetstone_DSL/editor/src/DependencyGraph.h
2026-02-16 13:47:46 -07:00

191 lines
5.7 KiB
C++

#pragma once
// Step 392: DependencyGraph — Export workflow dependency graph for visualization
//
// Builds a node/edge graph from WorkflowState. Computes critical path
// (longest dependency chain). Data format ready for Sprint 19's GUI.
#include "WorkflowState.h"
#include "RoutingEngine.h"
#include "CostEstimator.h"
#include <string>
#include <vector>
#include <map>
#include <set>
#include <algorithm>
// --- GraphNode ---
struct GraphNode {
std::string id;
std::string label;
std::string type; // "Function" | "Class" | "Method"
std::string status; // WorkItem status
std::string workerType; // routing decision
std::string priority;
json toJson() const {
return json{{"id", id}, {"label", label}, {"type", type},
{"status", status}, {"workerType", workerType}, {"priority", priority}};
}
static GraphNode fromJson(const json& j) {
GraphNode n;
if (j.contains("id")) n.id = j["id"].get<std::string>();
if (j.contains("label")) n.label = j["label"].get<std::string>();
if (j.contains("type")) n.type = j["type"].get<std::string>();
if (j.contains("status")) n.status = j["status"].get<std::string>();
if (j.contains("workerType")) n.workerType = j["workerType"].get<std::string>();
if (j.contains("priority")) n.priority = j["priority"].get<std::string>();
return n;
}
};
// --- GraphEdge ---
struct GraphEdge {
std::string from;
std::string to;
std::string type; // "depends-on" | "blocks"
json toJson() const {
return json{{"from", from}, {"to", to}, {"type", type}};
}
static GraphEdge fromJson(const json& j) {
GraphEdge e;
if (j.contains("from")) e.from = j["from"].get<std::string>();
if (j.contains("to")) e.to = j["to"].get<std::string>();
if (j.contains("type")) e.type = j["type"].get<std::string>();
return e;
}
};
// --- GraphData ---
struct GraphData {
std::vector<GraphNode> nodes;
std::vector<GraphEdge> edges;
json toJson() const {
json nodeArr = json::array();
for (const auto& n : nodes) nodeArr.push_back(n.toJson());
json edgeArr = json::array();
for (const auto& e : edges) edgeArr.push_back(e.toJson());
return json{{"nodes", nodeArr}, {"edges", edgeArr}};
}
static GraphData fromJson(const json& j) {
GraphData g;
if (j.contains("nodes") && j["nodes"].is_array()) {
for (const auto& n : j["nodes"]) g.nodes.push_back(GraphNode::fromJson(n));
}
if (j.contains("edges") && j["edges"].is_array()) {
for (const auto& e : j["edges"]) g.edges.push_back(GraphEdge::fromJson(e));
}
return g;
}
};
// --- DependencyGraph builder ---
inline GraphData buildDependencyGraph(const WorkflowState& workflow) {
GraphData graph;
auto allItems = collectAllItems(workflow.queue);
for (const auto& item : allItems) {
GraphNode node;
node.id = item.id;
node.label = item.nodeName;
node.type = item.nodeType;
node.status = item.status;
node.workerType = item.workerType;
node.priority = item.priority;
graph.nodes.push_back(node);
for (const auto& depId : item.dependencies) {
GraphEdge edge;
edge.from = depId;
edge.to = item.id;
edge.type = "depends-on";
graph.edges.push_back(edge);
}
}
return graph;
}
inline json graphToJson(const GraphData& graph) {
return graph.toJson();
}
// --- Critical path computation ---
// Returns the node IDs in the longest dependency chain.
inline std::vector<std::string> getCriticalPath(const GraphData& graph) {
// Build adjacency: from -> [to]
std::map<std::string, std::vector<std::string>> adj;
std::set<std::string> allIds;
for (const auto& node : graph.nodes) allIds.insert(node.id);
for (const auto& edge : graph.edges) {
if (edge.type == "depends-on") {
adj[edge.from].push_back(edge.to);
}
}
// Find roots (nodes with no incoming "depends-on" edges)
std::set<std::string> hasIncoming;
for (const auto& edge : graph.edges) {
if (edge.type == "depends-on") hasIncoming.insert(edge.to);
}
// DFS to find longest path from each root
std::map<std::string, int> memo;
std::map<std::string, std::string> parent;
std::function<int(const std::string&)> longestFrom = [&](const std::string& id) -> int {
if (memo.count(id)) return memo[id];
int best = 0;
std::string bestChild;
for (const auto& next : adj[id]) {
int childLen = longestFrom(next);
if (childLen + 1 > best) {
best = childLen + 1;
bestChild = next;
}
}
memo[id] = best;
if (!bestChild.empty()) parent[id] = bestChild;
return best;
};
// Find the longest path across all roots
std::string bestStart;
int bestLen = 0;
for (const auto& id : allIds) {
if (hasIncoming.find(id) == hasIncoming.end()) {
int len = longestFrom(id);
if (len >= bestLen) {
bestLen = len;
bestStart = id;
}
}
}
// If no roots found (isolated nodes), just pick any node
if (bestStart.empty() && !allIds.empty()) {
bestStart = *allIds.begin();
}
// Reconstruct path
std::vector<std::string> path;
if (!bestStart.empty()) {
std::string cur = bestStart;
path.push_back(cur);
while (parent.count(cur)) {
cur = parent[cur];
path.push_back(cur);
}
}
return path;
}