261 lines
16 KiB
TypeScript
261 lines
16 KiB
TypeScript
import { useCallback, useMemo, useState, type Dispatch, type SetStateAction } from "react";
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import { App } from "antd";
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import { nanoid } from "nanoid";
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import { NODE_DEFAULT_SIZE } from "@/constant/canvas";
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import { MAX_BATCH_REFERENCE_COLUMNS, batchInputColumns, batchPromptForRow, batchReferenceColumns, batchReferenceHandleId, batchTextInputColumns, createBatchRow, createBatchRowsFromColumns, moveBatchReferenceCell, removeLastBatchReferenceColumn, reorderBatchReferenceColumns } from "@/lib/canvas/canvas-batch-table";
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import { createCanvasNode } from "@/lib/canvas/canvas-project-domain";
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import { buildGenerationConfig, resetGenerationTaskMetadata } from "@/lib/canvas/canvas-project-generation";
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import { navigateToSettings } from "@/lib/settings-navigation";
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import { useConfigStore, useEffectiveConfig } from "@/stores/use-config-store";
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import { CanvasNodeType, type CanvasBatchRow, type CanvasBatchTableData, type CanvasConnection, type CanvasGenerationBatchMode, type CanvasNodeData } from "@/types/canvas";
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import type { BatchGenerationSettings } from "@/components/canvas/batch-generation-settings-dialog";
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type Options = {
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nodesRef: { current: CanvasNodeData[] };
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connectionsRef: { current: CanvasConnection[] };
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setNodes: Dispatch<SetStateAction<CanvasNodeData[]>>;
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setConnections: Dispatch<SetStateAction<CanvasConnection[]>>;
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setSelectedNodeIds: Dispatch<SetStateAction<Set<string>>>;
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enqueueGenerationBatch: (sourceNodeId: string, mode: CanvasGenerationBatchMode, targets: Array<{ rowId: string; nodeId: string }>, options?: { concurrency?: number }) => string | undefined;
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};
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type PendingBatchGen = {
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nodeId: string;
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rows: CanvasBatchRow[];
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concurrency: number;
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};
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export function useCanvasBatchTable({ nodesRef, connectionsRef, setNodes, setConnections, setSelectedNodeIds, enqueueGenerationBatch }: Options) {
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const { message } = App.useApp();
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const effectiveConfig = useEffectiveConfig();
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const isAiConfigReady = useConfigStore((state) => state.isAiConfigReady);
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const [batchGenDialog, setBatchGenDialog] = useState<{ open: boolean; pending: PendingBatchGen | null }>({ open: false, pending: null });
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const patchTable = useCallback((nodeId: string, patch: Partial<CanvasBatchTableData>) => {
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setNodes((current) => current.map((node) => node.id !== nodeId ? node : { ...node, metadata: { ...node.metadata, batchTable: { operation: "try_on", concurrency: 10, rows: [], ...node.metadata?.batchTable, ...patch } } }));
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}, [setNodes]);
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const updateRow = useCallback((nodeId: string, rowId: string, patch: Partial<CanvasBatchRow>) => {
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const node = nodesRef.current.find((item) => item.id === nodeId);
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if (!node?.metadata?.batchTable) return;
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patchTable(nodeId, { rows: node.metadata.batchTable.rows.map((row) => row.id === rowId ? { ...row, ...patch } : row) });
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}, [nodesRef, patchTable]);
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const addRow = useCallback((nodeId: string) => {
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const table = nodesRef.current.find((item) => item.id === nodeId)?.metadata?.batchTable;
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if (!table) return;
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patchTable(nodeId, { rows: [...table.rows, createBatchRow(table.operation)] });
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}, [nodesRef, patchTable]);
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const removeRow = useCallback((nodeId: string, rowId: string) => {
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const table = nodesRef.current.find((item) => item.id === nodeId)?.metadata?.batchTable;
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if (!table) return;
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patchTable(nodeId, { rows: table.rows.filter((row) => row.id !== rowId) });
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}, [nodesRef, patchTable]);
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const addReferenceColumn = useCallback((nodeId: string) => {
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const table = nodesRef.current.find((item) => item.id === nodeId)?.metadata?.batchTable;
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if (!table) return;
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const columns = batchReferenceColumns(table);
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if (columns.length >= MAX_BATCH_REFERENCE_COLUMNS) return message.info("最多支持 10 组参考图");
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const nextIndex = columns.length + 1;
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patchTable(nodeId, { referenceColumns: [...columns, { id: `reference-${nanoid()}`, label: `参考图 ${nextIndex}` }] });
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}, [message, nodesRef, patchTable]);
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const removeReferenceColumn = useCallback((nodeId: string) => {
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const table = nodesRef.current.find((item) => item.id === nodeId)?.metadata?.batchTable;
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if (!table) return;
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const columns = batchReferenceColumns(table);
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const nextTable = removeLastBatchReferenceColumn(table);
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if (!nextTable) return message.info("至少保留 1 组参考图");
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patchTable(nodeId, nextTable);
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const removed = columns.at(-1);
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if (removed) {
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const handleId = batchReferenceHandleId(removed.id);
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setConnections((current) => current.filter((connection) => !(connection.toNodeId === nodeId && connection.toHandleId === handleId)));
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}
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}, [message, nodesRef, patchTable, setConnections]);
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const addTextColumn = useCallback((nodeId: string) => {
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const table = nodesRef.current.find((item) => item.id === nodeId)?.metadata?.batchTable;
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if (!table) return;
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const columns = table.textColumns || [];
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if (columns.length >= 4) return message.info("最多支持 4 组文字");
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patchTable(nodeId, { textColumns: [...columns, { id: `text-${nanoid()}`, label: `文字 ${columns.length + 1}` }] });
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}, [message, nodesRef, patchTable]);
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const syncRowsFromConnections = useCallback((nodeId: string, silent = false) => {
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const node = nodesRef.current.find((item) => item.id === nodeId);
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const table = node?.metadata?.batchTable;
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if (!node || !table) return false;
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const nodeById = new Map(nodesRef.current.map((item) => [item.id, item]));
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const columns = batchInputColumns(node, connectionsRef.current).map((column) => column.filter((inputNodeId) => {
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const input = nodeById.get(inputNodeId);
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return input?.type === CanvasNodeType.Image && Boolean(input.metadata?.content || input.metadata?.storageKey);
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}));
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if (!columns.some((column) => column.length)) {
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if (!silent) message.warning("请先把图片节点连接到批量创作表");
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return false;
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}
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const rows = createBatchRowsFromColumns(table.operation, columns, table.rows);
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const textColumns = batchTextInputColumns(node, connectionsRef.current).map((column) => column.filter((inputNodeId) => {
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const input = nodeById.get(inputNodeId);
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return input?.type === CanvasNodeType.Text && Boolean(input.metadata?.content || input.metadata?.prompt);
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}));
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const rowsWithText = rows.map((row, index) => ({
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...row,
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textNodeIds: textColumns.flatMap((column) => {
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const input = column.length === 1 ? column[0] : column[index];
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return input ? [input] : [];
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}),
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}));
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if (!rows.length) {
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if (!silent) message.warning("批量换装至少需要一张人物图和一张服装图");
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return false;
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}
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const rowsChanged = JSON.stringify(table.rows) !== JSON.stringify(rowsWithText);
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if (!rowsChanged) return false;
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patchTable(nodeId, { rows: rowsWithText });
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if (!silent) message.success(`已按连线创建 ${rows.length} 行任务`);
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return true;
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}, [connectionsRef, message, nodesRef, patchTable]);
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const fillRowsFromConnections = useCallback((nodeId: string) => {
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syncRowsFromConnections(nodeId);
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}, [syncRowsFromConnections]);
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const reorderReferenceColumns = useCallback((nodeId: string, fromColumnId: string, toColumnId: string) => {
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const table = nodesRef.current.find((item) => item.id === nodeId)?.metadata?.batchTable;
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if (!table) return;
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const nextTable = reorderBatchReferenceColumns(table, fromColumnId, toColumnId);
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if (nextTable !== table) patchTable(nodeId, nextTable);
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}, [nodesRef, patchTable]);
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const moveReferenceCell = useCallback((nodeId: string, sourceRowId: string, sourceColumnIndex: number, targetRowId: string, targetColumnIndex: number) => {
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const table = nodesRef.current.find((item) => item.id === nodeId)?.metadata?.batchTable;
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if (!table) return;
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const nextTable = moveBatchReferenceCell(table, sourceRowId, sourceColumnIndex, targetRowId, targetColumnIndex);
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if (nextTable !== table) patchTable(nodeId, { rows: nextTable.rows });
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}, [nodesRef, patchTable]);
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const executeBatchGeneration = useCallback((pending: PendingBatchGen, settings: BatchGenerationSettings) => {
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const { nodeId, rows, concurrency } = pending;
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const sourceNode = nodesRef.current.find((item) => item.id === nodeId);
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const table = sourceNode?.metadata?.batchTable;
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if (!sourceNode || !table) return;
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const mergedConfig = { ...effectiveConfig, ...settings };
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const imageSpec = NODE_DEFAULT_SIZE[CanvasNodeType.Image];
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const nextNodes = [...nodesRef.current];
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let nextConnections = [...connectionsRef.current];
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const outputByRowId = new Map<string, string>();
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const targets: Array<{ rowId: string; nodeId: string }> = [];
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rows.forEach((row, index) => {
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const existingIndex = row.outputNodeId ? nextNodes.findIndex((node) => node.id === row.outputNodeId && node.type === CanvasNodeType.Image) : -1;
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const prompt = batchPromptForRow(table, row).trim();
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const metadata = {
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...(existingIndex >= 0 ? resetGenerationTaskMetadata(nextNodes[existingIndex].metadata) : {}),
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prompt,
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composerContent: [prompt, ...(row.textNodeIds || []).map((textNodeId) => {
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const textNode = nodesRef.current.find((node) => node.id === textNodeId);
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return textNode?.metadata?.content || textNode?.metadata?.prompt || "";
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})].filter(Boolean).join("\n\n"),
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model: buildGenerationConfig(mergedConfig, undefined, "image").model,
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size: mergedConfig.size,
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quality: mergedConfig.quality,
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transparentBackground: mergedConfig.transparentBackground,
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count: Number(mergedConfig.count) || 1,
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generationMode: "image" as const,
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generationType: "edit" as const,
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workflowKind: "final" as const,
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workflowTitle: `${table.operation === "try_on" ? "换装" : "创意"}任务 ${index + 1}`,
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status: "idle" as const,
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batchSourceNodeId: nodeId,
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batchRowId: row.id,
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batchOperation: table.operation,
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batchInputNodeIds: row.inputNodeIds,
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cameraControl: settings.cameraControl,
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};
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const output = existingIndex >= 0
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? { ...nextNodes[existingIndex], metadata }
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: createCanvasNode(CanvasNodeType.Image, { x: sourceNode.position.x + sourceNode.width + 120 + imageSpec.width / 2, y: sourceNode.position.y + index * (imageSpec.height + 32) + imageSpec.height / 2 }, metadata);
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output.title = `${table.operation === "try_on" ? "换装" : "创意"} · ${index + 1}`;
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if (existingIndex >= 0) nextNodes[existingIndex] = output;
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else nextNodes.push(output);
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nextConnections = nextConnections.filter((connection) => connection.toNodeId !== output.id);
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row.inputNodeIds.filter(Boolean).forEach((inputNodeId) => nextConnections.push({ id: nanoid(), fromNodeId: inputNodeId, toNodeId: output.id }));
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nextConnections.push({ id: nanoid(), fromNodeId: sourceNode.id, toNodeId: output.id, relation: "batch-output", storyboardRowId: row.id });
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outputByRowId.set(row.id, output.id);
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targets.push({ rowId: row.id, nodeId: output.id });
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});
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const sourceIndex = nextNodes.findIndex((node) => node.id === sourceNode.id);
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nextNodes[sourceIndex] = { ...sourceNode, metadata: { ...sourceNode.metadata, batchTable: { ...table, rows: table.rows.map((row) => outputByRowId.has(row.id) ? { ...row, outputNodeId: outputByRowId.get(row.id) } : row) } } };
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nodesRef.current = nextNodes;
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connectionsRef.current = nextConnections;
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setNodes(nextNodes);
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setConnections(nextConnections);
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setSelectedNodeIds(new Set(targets.map((target) => target.nodeId)));
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if (enqueueGenerationBatch(nodeId, "batch_image", targets, { concurrency })) message.success(`${targets.length} 个任务已加入并发队列`);
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}, [connectionsRef, effectiveConfig, enqueueGenerationBatch, message, nodesRef, setConnections, setNodes, setSelectedNodeIds]);
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const generateRows = useCallback((nodeId: string, requestedRowIds?: string[]) => {
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const sourceNode = nodesRef.current.find((item) => item.id === nodeId);
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const table = sourceNode?.metadata?.batchTable;
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if (!sourceNode || !table) return;
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const imageModel = effectiveConfig.imageModel || effectiveConfig.model;
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if (!isAiConfigReady(effectiveConfig, imageModel)) {
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navigateToSettings({ continueCreation: true });
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return;
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}
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const activeNodeIds = new Set((sourceNode.metadata?.generationBatches || []).filter((batch) => batch.mode === "batch_image").flatMap((batch) => batch.items.filter((item) => ["waiting", "submitting", "queued", "running"].includes(item.status)).map((item) => item.nodeId)));
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const requested = requestedRowIds?.length ? new Set(requestedRowIds) : null;
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const rows = table.rows.filter((row) => {
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if (row.enabled === false || (requested && !requested.has(row.id)) || !batchPromptForRow(table, row).trim()) return false;
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if (table.operation === "try_on" && row.inputNodeIds.length < 2) return false;
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if (!row.inputNodeIds.length || row.inputNodeIds.some((id) => !nodesRef.current.some((node) => node.id === id && node.type === CanvasNodeType.Image && Boolean(node.metadata?.content || node.metadata?.storageKey)))) return false;
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const output = row.outputNodeId ? nodesRef.current.find((node) => node.id === row.outputNodeId) : undefined;
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return !output?.metadata?.content && (!output || !activeNodeIds.has(output.id));
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});
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if (!rows.length) return message.info("没有可提交的未完成任务，请检查参考图和提示词");
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setBatchGenDialog({ open: true, pending: { nodeId, rows, concurrency: table.concurrency } });
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}, [effectiveConfig, isAiConfigReady, message, nodesRef]);
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const closeBatchGenDialog = useCallback(() => {
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setBatchGenDialog({ open: false, pending: null });
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}, []);
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const confirmBatchGenDialog = useCallback((settings: BatchGenerationSettings) => {
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if (batchGenDialog.pending) {
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executeBatchGeneration(batchGenDialog.pending, settings);
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}
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setBatchGenDialog({ open: false, pending: null });
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}, [batchGenDialog.pending, executeBatchGeneration]);
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const dialogConfig = useMemo(() => effectiveConfig, [effectiveConfig]);
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return {
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addReferenceColumn,
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addTextColumn,
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addRow,
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fillRowsFromConnections,
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generateRows,
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moveReferenceCell,
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patchTable,
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removeReferenceColumn,
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removeRow,
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reorderReferenceColumns,
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syncRowsFromConnections,
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updateRow,
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batchGenDialogOpen: batchGenDialog.open,
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batchGenDialogRowCount: batchGenDialog.pending?.rows.length ?? 0,
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batchGenDialogConcurrency: batchGenDialog.pending?.concurrency ?? 1,
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batchGenDialogConfig: dialogConfig,
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closeBatchGenDialog,
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confirmBatchGenDialog,
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};
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}
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