You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 

225 lines
6.7 KiB

/**
* Generate3D Executor
*
* Executor for generate3d (3D model generation) nodes.
* Extracted from nanoBananaExecutor's 3D handling code.
*/
import type { Generate3DNodeData, SelectedModel } from "@/types";
import { buildGenerateHeaders } from "@/store/utils/buildApiHeaders";
import { pollGenerateTask } from "./pollTaskCompletion";
import { runWithFallback } from "./runWithFallback";
import type { NodeExecutionContext } from "./types";
export interface Generate3DOptions {
/** When true, falls back to stored inputImages/inputPrompt if no connections provide them. */
useStoredFallback?: boolean;
}
export async function executeGenerate3D(
ctx: NodeExecutionContext,
options: Generate3DOptions = {}
): Promise<void> {
const {
node,
getConnectedInputs,
updateNodeData,
getFreshNode,
signal,
providerSettings,
addIncurredCost,
generationsPath,
trackSaveGeneration,
} = ctx;
const { useStoredFallback = false } = options;
const { images: connectedImages, text: connectedText, dynamicInputs } = getConnectedInputs(node.id);
// Get fresh node data from store
const freshNode = getFreshNode(node.id);
const nodeData = (freshNode?.data || node.data) as Generate3DNodeData;
// Determine images and text (with optional fallback to stored values)
let images: string[];
let promptText: string | null;
if (useStoredFallback) {
images = connectedImages.length > 0 ? connectedImages : nodeData.inputImages;
promptText = connectedText ?? nodeData.inputPrompt;
} else {
images = connectedImages;
const promptFromDynamic = Array.isArray(dynamicInputs.prompt)
? dynamicInputs.prompt[0]
: dynamicInputs.prompt;
promptText = connectedText || promptFromDynamic || null;
}
// 3D models may work with just images (image-to-3d) or just text (text-to-3d)
if (!promptText && images.length === 0) {
updateNodeData(node.id, {
status: "error",
error: "Missing text or image input",
});
throw new Error("Missing text or image input");
}
updateNodeData(node.id, {
inputImages: images,
inputPrompt: promptText,
status: "loading",
error: null,
});
const runOnce = async (modelToUse: SelectedModel, parametersOverride?: Record<string, unknown>): Promise<void> => {
const provider = modelToUse.provider;
const headers = buildGenerateHeaders(provider, providerSettings);
const requestPayload = {
images,
prompt: promptText || "",
selectedModel: modelToUse,
parameters: parametersOverride ?? nodeData.parameters,
dynamicInputs,
mediaType: "3d" as const,
};
try {
const response = await fetch("/api/generate", {
method: "POST",
headers,
body: JSON.stringify(requestPayload),
...(signal ? { signal } : {}),
});
if (!response.ok) {
const errorText = await response.text();
let errorMessage = `HTTP ${response.status}`;
try {
const errorJson = JSON.parse(errorText);
errorMessage = errorJson.error || errorMessage;
} catch {
if (errorText) errorMessage += ` - ${errorText.substring(0, 200)}`;
}
updateNodeData(node.id, {
status: "error",
error: errorMessage,
});
throw new Error(errorMessage);
}
let result = await response.json();
// Handle polling response (long-running Kie tasks)
if (result.polling) {
result = await pollGenerateTask({
taskId: result.taskId,
provider: result.pollProvider,
modelId: result.pollModelId,
modelName: result.pollModelName,
mediaType: result.pollMediaType,
headers,
signal,
});
if (!result.success) {
updateNodeData(node.id, {
status: "error",
error: result.error || "3D generation failed",
});
throw new Error(result.error || "3D generation failed");
}
}
if (result.success && result.model3dUrl) {
updateNodeData(node.id, {
output3dUrl: result.model3dUrl,
status: "complete",
error: null,
savedFilename: null,
savedFilePath: null,
});
// Track cost if applicable
if (modelToUse.pricing) {
addIncurredCost(modelToUse.pricing.amount);
}
// Auto-save 3D model to generations folder if configured
if (generationsPath) {
const savePromise = fetch("/api/save-generation", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
directoryPath: generationsPath,
model3d: result.model3dUrl,
prompt: promptText,
}),
})
.then((res) => res.json())
.then((saveResult) => {
if (saveResult.success && saveResult.filename) {
updateNodeData(node.id, {
savedFilename: saveResult.filename,
savedFilePath: saveResult.filePath,
});
}
})
.catch((err) => {
console.error("Failed to save 3D model:", err);
});
trackSaveGeneration(`3d-${Date.now()}`, savePromise);
}
} else {
updateNodeData(node.id, {
status: "error",
error: result.error || "3D generation failed",
});
throw new Error(result.error || "3D generation failed");
}
} catch (error) {
if (error instanceof DOMException && error.name === "AbortError") {
throw error;
}
let errorMessage = "3D generation failed";
if (error instanceof TypeError && error.message.includes("NetworkError")) {
errorMessage = "Network error. Check your connection and try again.";
} else if (error instanceof TypeError) {
errorMessage = `Network error: ${error.message}`;
} else if (error instanceof Error) {
errorMessage = error.message;
}
updateNodeData(node.id, {
status: "error",
error: errorMessage,
});
throw new Error(errorMessage);
}
};
// Synthesize a SelectedModel for the primary if selectedModel is missing.
const primaryModel: SelectedModel = nodeData.selectedModel ?? {
provider: "fal",
modelId: "",
displayName: "",
};
if (!primaryModel.modelId) {
updateNodeData(node.id, { status: "error", error: "No model selected" });
throw new Error("No model selected");
}
await runWithFallback({
nodeId: node.id,
primary: primaryModel,
fallback: nodeData.fallbackModel,
fallbackParameters: nodeData.fallbackParameters,
updateNodeData,
runOnce,
clearOutput: { output3dUrl: null },
});
}