EntropyEngine::Core::Concurrency::WorkGraph::WaitResult

EntropyEngine::Core::Concurrency::WorkGraph::WaitResult

What you get back from wait() - the final score of your graph execution. More…

#include <WorkGraph.h>

Public Attributes

	Name
uint32_t	failedCount Nodes that threw exceptions.
uint32_t	droppedCount Nodes we couldn’t schedule (queue overflow).
uint32_t	completedCount Nodes that ran successfully.
bool	allCompleted True only if every single node succeeded.

Detailed Description

struct EntropyEngine::Core::Concurrency::WorkGraph::WaitResult;

What you get back from wait() - the final score of your graph execution.

This tells you how your workflow went: did everything finish? Did some tasks fail? Were any dropped due to capacity issues? It’s like a report card for your parallel execution.

auto result = graph.wait();
if (result.allCompleted) {
    LOG_INFO("Perfect run! All {} nodes completed", result.completedCount);
} else {
    LOG_WARN("Issues detected: {} failed, {} dropped",
             result.failedCount, result.droppedCount);
}

Public Attributes Documentation

variable failedCount

uint32_t failedCount = 0;

Nodes that threw exceptions.

variable droppedCount

uint32_t droppedCount = 0;

Nodes we couldn’t schedule (queue overflow).

variable completedCount

uint32_t completedCount = 0;

Nodes that ran successfully.

variable allCompleted

bool allCompleted = false;

True only if every single node succeeded.

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Updated on 2026-01-26 at 17:14:35 -0500