feat: Deep Research section
This commit is contained in:
AnotiaWang
@ -1,345 +1,162 @@
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<template>
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<div class="h-screen flex">
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<!-- 左侧树形图 -->
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<div class="w-1/2 h-full bg-transparent" ref="treeContainer">
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<div v-if="!modelValue.root" class="h-full flex items-center justify-center text-gray-500 dark:text-gray-400">
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<div class="text-center">
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<div class="text-lg mb-2">No research data</div>
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<div class="text-sm">Please answer and submit the questions to start research</div>
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</div>
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</div>
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<svg
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v-else
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width="100%"
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height="100%"
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@click="handleSvgClick"
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class="[&_.link]:stroke-2 [&_.link]:fill-none [&_.link]:stroke-gray-400 dark:[&_.link]:stroke-gray-600 [&_.link.processing]:stroke-blue-500 [&_.link.complete]:stroke-green-500 [&_.link.error]:stroke-red-500"
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>
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<g :transform="`translate(${margin.left}, ${margin.top})`">
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<!-- 连接线 -->
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<g class="links">
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<path v-for="link in treeData.links" :key="link.id" :d="link.path" class="link" :class="link.status" />
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</g>
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<!-- 节点 -->
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<g class="nodes">
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<g
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v-for="node in treeData.nodes"
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:key="node.id"
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class="node cursor-pointer transition-all"
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:class="[node.status, { active: selectedNode?.id === node.id }]"
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:transform="`translate(${node.x}, ${node.y})`"
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@click.stop="handleNodeClick(node)"
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@mouseover="handleNodeHover(node)"
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>
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<circle
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r="20"
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class="fill-white dark:fill-gray-700 stroke-2 stroke-gray-400 dark:stroke-gray-500 [.processing_&]:stroke-blue-500 [.complete_&]:stroke-green-500 [.error_&]:stroke-red-500 [.active_&]:stroke-[3px] [.active_&]:fill-gray-100 dark:[.active_&]:fill-gray-800"
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/>
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<text dy=".35em" text-anchor="middle" class="fill-gray-900 dark:fill-gray-100 text-sm select-none">
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{{ node.depth }}
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</text>
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</g>
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</g>
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</g>
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</svg>
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</div>
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<!-- 右侧内容区 -->
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<div class="w-1/2 h-full p-4 border-l border-gray-200 dark:border-gray-700 overflow-y-auto">
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<div v-if="selectedNode" class="sticky top-0">
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<h3 class="text-lg font-bold mb-2 dark:text-gray-200">Search Detail</h3>
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<div class="mb-4">
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<div class="font-medium dark:text-gray-300">Query:</div>
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<div class="text-gray-600 dark:text-gray-400">{{ selectedNode.query }}</div>
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</div>
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<div v-if="selectedNode.result">
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<div class="font-medium mb-2 dark:text-gray-300">Learning Content:</div>
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<ul class="list-disc pl-5 mb-4">
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<li v-for="(learning, i) in selectedNode.result.learnings" :key="i" class="text-gray-600 dark:text-gray-400">
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{{ learning }}
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</li>
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</ul>
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<div class="font-medium mb-2 dark:text-gray-300">Follow-up Questions:</div>
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<ul class="list-disc pl-5">
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<li v-for="(question, i) in selectedNode.result.followUpQuestions" :key="i" class="text-gray-600 dark:text-gray-400">
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{{ question }}
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</li>
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</ul>
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</div>
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</div>
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<div v-else class="h-full flex items-center justify-center text-gray-500 dark:text-gray-400 text-center">
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Select a node to view details
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</div>
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</div>
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</div>
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</template>
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<script setup lang="ts">
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import * as d3 from 'd3'
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import { deepResearch, type ResearchStep } from '~/lib/deep-research'
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import type { ResearchFeedbackResult } from './ResearchFeedback.vue'
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import { deepResearch, type PartialSearchResult, type ResearchStep } from '~/lib/deep-research'
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import type { TreeNode } from './Tree.vue'
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export interface SearchNode {
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id: string
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query: string
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depth: number
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status: 'pending' | 'processing' | 'complete' | 'error'
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children: SearchNode[]
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result?: {
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learnings: string[]
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followUpQuestions: string[]
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}
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// 布局相关属性
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x?: number
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y?: number
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parent?: SearchNode
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}
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export interface SearchTree {
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root: SearchNode | null
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currentDepth: number
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maxDepth: number
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maxBreadth: number
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}
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const modelValue = defineModel<SearchTree>({
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default: () => ({
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root: null,
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currentDepth: 0,
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maxDepth: 0,
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maxBreadth: 0,
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}),
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const tree = ref<TreeNode>({
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id: 'root',
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label: 'Start',
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children: [],
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depth: 0,
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breadth: 0,
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})
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const hoveredNode = ref<TreeNode | null>(null)
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const searchResults = ref<Record<string, PartialSearchResult>>({})
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// 树形图布局配置
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const margin = { top: 40, right: 40, bottom: 40, left: 40 }
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const treeContainer = ref<HTMLElement>()
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const width = ref(800)
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const height = ref(600)
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const modelValue = computed(() => Object.values(searchResults.value))
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// 节点状态管理
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const selectedNode = ref<SearchNode>()
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// 计算节点和连接线
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const treeData = computed(() => {
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if (!modelValue.value.root) return { nodes: [], links: [] }
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// 计算合适的树大小
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const levels = getTreeDepth(modelValue.value.root)
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const estimatedHeight = Math.max(levels * 20, 300) // 每层至少 20px
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height.value = Math.min(estimatedHeight, window.innerHeight - 100) // 限制最大高度
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const treeLayout = d3
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.tree<SearchNode>()
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.size([width.value - margin.left - margin.right, height.value - margin.top - margin.bottom])
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.separation((a, b) => (a.parent === b.parent ? 1.5 : 2))
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const root = d3.hierarchy(modelValue.value.root)
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const layout = treeLayout(root)
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const nodes = layout.descendants().map((d) => ({
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...d.data,
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x: d.x,
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y: d.y,
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}))
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const links = layout.links().map((d, i) => ({
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id: `link-${i}`,
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path: d3.linkVertical()({
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source: [d.source.x, d.source.y],
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target: [d.target.x, d.target.y],
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}) as string,
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status: d.target.data.status,
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}))
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return { nodes, links }
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})
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// 辅助函数：获取树的深度
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function getTreeDepth(node: SearchNode): number {
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if (!node) return 0
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return 1 + Math.max(0, ...(node.children?.map(getTreeDepth) || []))
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}
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// 监听节点状态变化
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watch(
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() => modelValue.value.root,
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(newRoot) => {
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if (newRoot) {
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// 找到最新更新的节点
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const currentNode = findCurrentNode(newRoot)
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if (currentNode) {
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selectedNode.value = currentNode
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}
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}
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},
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{ deep: true },
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)
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// 事件处理
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function handleNodeClick(node: SearchNode) {
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selectedNode.value = node
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}
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function handleNodeHover(node: SearchNode) {
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selectedNode.value = node
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}
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function handleSvgClick() {
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selectedNode.value = undefined
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}
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// 辅助函数：查找指定深度的节点
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function findNodeAtDepth(node: SearchNode | null, targetDepth: number): SearchNode | null {
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if (!node) return null
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if (node.depth === targetDepth) return node
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if (!node.children?.length) return null
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for (const child of node.children) {
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const found = findNodeAtDepth(child, targetDepth)
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if (found) return found
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}
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return null
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}
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// 辅助函数：查找当前正在处理的节点
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function findCurrentNode(node: SearchNode): SearchNode | null {
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if (node.status === 'processing') {
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return node
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}
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if (node.children) {
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for (const child of node.children) {
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const found = findCurrentNode(child)
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if (found) return found
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}
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}
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// 如果没有正在处理的节点，返回最后一个完成的节点
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if (node.status === 'complete' && (!node.children || node.children.length === 0)) {
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return node
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}
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return null
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}
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// 辅助函数：在树中更新节点
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function updateNodeInTree(root: SearchNode, nodeId: string, updates: Partial<SearchNode>): SearchNode {
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if (root.id === nodeId) {
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return { ...root, ...updates }
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}
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return {
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...root,
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children: root.children.map((child) => updateNodeInTree(child, nodeId, updates)),
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}
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}
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// 监听容器大小变化
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onMounted(() => {
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if (treeContainer.value) {
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const resizeObserver = new ResizeObserver((entries) => {
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for (const entry of entries) {
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width.value = entry.contentRect.width
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height.value = entry.contentRect.height
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}
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})
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resizeObserver.observe(treeContainer.value)
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}
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})
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// 处理研究进度
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function handleResearchProgress(step: ResearchStep) {
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console.log(step)
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if (step.type === 'start') {
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// 初始化搜索树
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modelValue.value = {
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root: null,
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currentDepth: 0,
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maxDepth: step.depth || 0,
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maxBreadth: step.breadth || 0,
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let node: TreeNode | null = null
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let nodeId = ''
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if (step.type !== 'complete') {
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nodeId = step.nodeId
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node = findNode(tree.value, step.nodeId)
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if (node) {
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node.status = step.type
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}
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} else if (step.type === 'generating_queries' && step.result) {
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// 添加新的查询节点
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if (step.depth === 1) {
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// 第一层查询作为根节点
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modelValue.value = {
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...modelValue.value,
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root: {
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id: '0-0',
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query: step.result[0].query,
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depth: 0,
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status: 'processing',
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children: step.result.slice(1).map((item, index) => ({
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id: `1-${index}`,
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query: item.query,
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depth: 1,
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status: 'pending',
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children: [],
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})),
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},
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}
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} else {
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const parentNode = findNodeAtDepth(modelValue.value.root!, step.depth! - 1)
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if (parentNode) {
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const updatedRoot = updateNodeInTree(modelValue.value.root!, parentNode.id, {
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children: step.result.map((query: any, index: number) => ({
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id: `${step.depth}-${index}`,
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query: query.query,
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depth: step.depth!,
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status: 'pending',
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children: [],
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})),
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}
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console.log('step', step)
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switch (step.type) {
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case 'generating_query': {
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if (!node) {
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console.error('Creating new node', {
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nodeId,
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depth: step.depth,
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breadth: step.breadth,
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index: step.nodeIndex,
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})
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modelValue.value = {
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...modelValue.value,
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root: updatedRoot,
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// 创建新节点
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node = {
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id: nodeId,
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label: 'Generating...',
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researchGoal: 'Generating research goal...',
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learnings: [],
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children: [],
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depth: step.depth,
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breadth: step.breadth,
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index: step.nodeIndex,
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}
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// 如果是根节点的直接子节点
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if (step.depth === 1) {
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tree.value.children.push(node)
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} else {
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// 找到父节点并添加
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const parentNode = findNode(tree.value, getParentNodeId(step.nodeId))
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if (parentNode) {
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parentNode.children.push(node)
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}
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}
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}
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}
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} else if (step.type === 'processing_serach_result' && step.result) {
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// 更新节点状态和结果
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const nodeId = `${step.depth}-${step.queryIndex}`
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const updatedRoot = updateNodeInTree(modelValue.value.root!, nodeId, {
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status: 'complete',
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result: {
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learnings: step.result.learnings || [],
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followUpQuestions: step.result.followUpQuestions || [],
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},
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})
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modelValue.value = {
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...modelValue.value,
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root: updatedRoot,
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}
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} else if (step.type === 'error') {
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// 处理错误状态
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const currentNode = findCurrentNode(modelValue.value.root!)
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if (currentNode) {
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const updatedRoot = updateNodeInTree(modelValue.value.root!, currentNode.id, {
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status: 'error',
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})
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modelValue.value = {
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...modelValue.value,
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root: updatedRoot,
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// 更新节点的查询内容
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if (step.result) {
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node.label = step.result.query ?? 'Generating...'
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node.researchGoal = step.result.researchGoal
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}
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break
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}
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case 'generated_query': {
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if (node) {
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}
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break
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}
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case 'searching': {
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if (node) {
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// node.label = `Searching: ${node.query}`
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}
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break
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}
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case 'search_complete': {
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if (node) {
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// node.label = `Found ${step.urls.length} results for: ${node.query}`
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}
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break
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}
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case 'processing_serach_result': {
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if (node) {
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node.learnings = step.result.learnings || []
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node.followUpQuestions = step.result.followUpQuestions || []
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// node.label = `Processing results: ${node.query}`
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}
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break
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}
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case 'processed_search_result': {
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if (node) {
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||||
node.learnings = step.result.learnings
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// node.label = `Completed: ${node.query}`
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searchResults.value[nodeId] = step.result
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}
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break
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}
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||||
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case 'error':
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console.error(`Research error on node ${nodeId}:`, step.message)
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break
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||||
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||||
case 'complete':
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console.log('Research complete')
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||||
break
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||||
}
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}
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||||
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// 开始研究
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async function startResearch(query: string, depth: number, breadth: number, feedback: ResearchFeedbackResult[]) {
|
||||
modelValue.value = {
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||||
root: null,
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||||
currentDepth: 0,
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||||
maxDepth: 0,
|
||||
maxBreadth: 0,
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||||
// 辅助函数：根据节点ID查找节点
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||||
function findNode(root: TreeNode, targetId: string): TreeNode | null {
|
||||
if (!targetId) return null
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||||
if (root.id === targetId) {
|
||||
return root
|
||||
}
|
||||
for (const child of root.children) {
|
||||
const found = findNode(child, targetId)
|
||||
if (found) {
|
||||
return found
|
||||
}
|
||||
}
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||||
return null
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||||
}
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||||
|
||||
// 辅助函数：获取节点的父节点 ID
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||||
function getParentNodeId(nodeId: string): string {
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||||
const parts = nodeId.split('-')
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parts.pop()
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||||
return parts.join('-')
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||||
}
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||||
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||||
async function startResearch(
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||||
query: string,
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||||
depth: number,
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||||
breadth: number,
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||||
feedback: { assistantQuestion: string; userAnswer: string }[],
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||||
) {
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||||
console.log('startResearch', query, depth, breadth, feedback)
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||||
tree.value.children = []
|
||||
tree.value.depth = depth
|
||||
tree.value.breadth = breadth
|
||||
hoveredNode.value = null
|
||||
searchResults.value = {}
|
||||
try {
|
||||
const combinedQuery = `
|
||||
Initial Query: ${query}
|
||||
Follow-up Questions and Answers:
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||||
${feedback.map((qa) => `Q: ${qa.assistantQuestion}\nA: ${qa.userAnswer}`).join('\n')}
|
||||
`
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||||
|
||||
await deepResearch({
|
||||
query: combinedQuery,
|
||||
depth,
|
||||
maxDepth: depth,
|
||||
breadth,
|
||||
onProgress: handleResearchProgress,
|
||||
})
|
||||
@ -352,3 +169,28 @@ ${feedback.map((qa) => `Q: ${qa.assistantQuestion}\nA: ${qa.userAnswer}`).join('
|
||||
startResearch,
|
||||
})
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<UCard>
|
||||
<template #header>
|
||||
<h2 class="font-bold">Deep Research</h2>
|
||||
<p class="text-sm text-gray-500">Click a child node to view details</p>
|
||||
</template>
|
||||
<div class="flex flex-col">
|
||||
<div class="overflow-y-auto">
|
||||
<Tree :node="tree" @select="hoveredNode = $event" />
|
||||
</div>
|
||||
<div v-if="hoveredNode" class="p-4">
|
||||
<h2 class="text-xl font-bold">{{ hoveredNode.label }}</h2>
|
||||
<h3 class="text-lg font-semibold mt-2">Research Goal:</h3>
|
||||
<p>{{ hoveredNode.researchGoal }}</p>
|
||||
<div v-if="hoveredNode.learnings">
|
||||
<h3 class="text-lg font-semibold mt-2">Learnings:</h3>
|
||||
<ul>
|
||||
<li v-for="(learning, index) in hoveredNode.learnings" :key="index">{{ learning }}</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</UCard>
|
||||
</template>
|
||||
|
||||
@ -63,7 +63,6 @@
|
||||
// Write the questions into modelValue
|
||||
const parseResult = parsePartialJson(content)
|
||||
|
||||
console.log(parseResult)
|
||||
if (parseResult.state === 'repaired-parse' || parseResult.state === 'successful-parse') {
|
||||
if (!isObject(parseResult.value) || Array.isArray(parseResult.value)) {
|
||||
return (modelValue.value = [])
|
||||
|
||||
@ -58,8 +58,8 @@
|
||||
}>()
|
||||
|
||||
const input = ref('天空为什么是蓝的？')
|
||||
const breadth = ref(6)
|
||||
const depth = ref(3)
|
||||
const breadth = ref(3)
|
||||
const depth = ref(2)
|
||||
const numQuestions = ref(1)
|
||||
const isLoading = ref(false)
|
||||
const result = ref<any>(null)
|
||||
@ -91,13 +91,13 @@
|
||||
toast.add({
|
||||
title: '复制成功',
|
||||
description: '研究报告已复制到剪贴板',
|
||||
icon: 'i-heroicons-check-circle',
|
||||
icon: 'i-lucide-badge-check',
|
||||
})
|
||||
} catch (e) {
|
||||
toast.add({
|
||||
title: '复制失败',
|
||||
description: '无法复制到剪贴板',
|
||||
icon: 'i-heroicons-x-circle',
|
||||
icon: 'i-lucide-x',
|
||||
color: 'error',
|
||||
})
|
||||
}
|
||||
|
||||
76
components/Tree.vue
Normal file
76
components/Tree.vue
Normal file
@ -0,0 +1,76 @@
|
||||
<script setup lang="ts">
|
||||
import type { ResearchStep } from '~/lib/deep-research'
|
||||
|
||||
export type TreeNodeStatus = Exclude<ResearchStep['type'], 'complete'>
|
||||
|
||||
export type TreeNode = {
|
||||
id: string
|
||||
/** Label, represents the search query */
|
||||
label: string
|
||||
researchGoal?: string
|
||||
learnings?: string[]
|
||||
followUpQuestions?: string[]
|
||||
status?: TreeNodeStatus
|
||||
children: TreeNode[]
|
||||
/** Current depth of the node */
|
||||
depth: number
|
||||
/** Maximum breadth at the current depth */
|
||||
breadth: number
|
||||
/** Index of the node among its siblings */
|
||||
index?: number
|
||||
}
|
||||
|
||||
const props = defineProps<{
|
||||
node: TreeNode
|
||||
}>()
|
||||
|
||||
const emit = defineEmits<{
|
||||
(e: 'select', value: TreeNode): void
|
||||
}>()
|
||||
|
||||
const icon = computed(() => {
|
||||
const result = { name: '', pulse: false }
|
||||
if (!props.node.status) return result
|
||||
switch (props.node.status) {
|
||||
case 'generating_query':
|
||||
result.name = 'i-lucide-clipboard-list'
|
||||
result.pulse = true
|
||||
break
|
||||
case 'generated_query':
|
||||
result.name = 'i-lucide-pause'
|
||||
break
|
||||
case 'searching':
|
||||
result.name = 'i-lucide-search'
|
||||
result.pulse = true
|
||||
break
|
||||
case 'search_complete':
|
||||
result.name = 'i-lucide-search-check'
|
||||
break
|
||||
case 'processing_serach_result':
|
||||
result.name = 'i-lucide-brain'
|
||||
result.pulse = true
|
||||
break
|
||||
case 'processed_search_result':
|
||||
result.name = 'i-lucide-circle-check-big'
|
||||
break
|
||||
case 'error':
|
||||
result.name = 'i-lucide-octagon-x'
|
||||
break
|
||||
}
|
||||
return result
|
||||
})
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<div class="flex items-center gap-1">
|
||||
<UIcon name="i-lucide-circle-dot" />
|
||||
<UButton :class="icon.pulse && 'animate-pulse'" :icon="icon.name" size="sm" color="info" @click="emit('select', node)">{{
|
||||
node.label
|
||||
}}</UButton>
|
||||
<ol v-if="node.children.length > 0" class="space-y-2">
|
||||
<li v-for="node in node.children" :key="node.id">
|
||||
<Tree class="ml-2" :node="node" @select="emit('select', $event)" />
|
||||
</li>
|
||||
</ol>
|
||||
</div>
|
||||
</template>
|
||||
@ -8,20 +8,21 @@ import { o3MiniModel, trimPrompt } from './ai/providers';
|
||||
import { systemPrompt } from './prompt';
|
||||
import zodToJsonSchema from 'zod-to-json-schema';
|
||||
import { tavily, type TavilySearchResponse } from '@tavily/core';
|
||||
// import 'dotenv/config';
|
||||
|
||||
// Used for streaming response
|
||||
type PartialSerpQueries = DeepPartial<z.infer<typeof serpQueriesTypeSchema>['queries']>;
|
||||
type PartialSearchResult = DeepPartial<z.infer<typeof serpResultTypeSchema>>;
|
||||
export type SearchQuery = z.infer<typeof searchQueriesTypeSchema>['queries'][0];
|
||||
export type PartialSearchQuery = DeepPartial<SearchQuery>;
|
||||
export type SearchResult = z.infer<typeof searchResultTypeSchema>;
|
||||
export type PartialSearchResult = DeepPartial<SearchResult>;
|
||||
|
||||
export type ResearchStep =
|
||||
| { type: 'start'; message: string; depth: number; breadth: number }
|
||||
| { type: 'generating_queries'; result: PartialSerpQueries; depth: number; breadth: number }
|
||||
| { type: 'query_generated'; query: string; researchGoal: string; depth: number; breadth: number; queryIndex: number }
|
||||
| { type: 'searching'; query: string; depth: number; breadth: number; queryIndex: number }
|
||||
| { type: 'search_complete'; query: string; urls: string[]; depth: number; breadth: number; queryIndex: number }
|
||||
| { type: 'processing_serach_result'; query: string; result: PartialSearchResult; depth: number; breadth: number; queryIndex: number }
|
||||
| { type: 'error'; message: string }
|
||||
| { type: 'generating_query'; result: PartialSearchQuery; depth: number; breadth: number; nodeIndex: number; nodeId: string }
|
||||
| { type: 'generated_query'; query: string; result: PartialSearchQuery; depth: number; breadth: number; nodeIndex: number; nodeId: string }
|
||||
| { type: 'searching'; query: string; depth: number; breadth: number; nodeIndex: number; nodeId: string }
|
||||
| { type: 'search_complete'; query: string; urls: string[]; depth: number; breadth: number; nodeIndex: number; nodeId: string }
|
||||
| { type: 'processing_serach_result'; query: string; result: PartialSearchResult; depth: number; breadth: number; nodeIndex: number; nodeId: string }
|
||||
| { type: 'processed_search_result'; query: string; result: SearchResult; depth: number; breadth: number; nodeIndex: number; nodeId: string }
|
||||
| { type: 'error'; message: string; depth: number; nodeId: string }
|
||||
| { type: 'complete' };
|
||||
|
||||
// increase this if you have higher API rate limits
|
||||
@ -38,9 +39,9 @@ const tvly = tavily({
|
||||
})
|
||||
|
||||
/**
|
||||
* Schema for {@link generateSerpQueries} without dynamic descriptions
|
||||
* Schema for {@link generateSearchQueries} without dynamic descriptions
|
||||
*/
|
||||
export const serpQueriesTypeSchema = z.object({
|
||||
export const searchQueriesTypeSchema = z.object({
|
||||
queries: z.array(
|
||||
z.object({
|
||||
query: z.string(),
|
||||
@ -50,7 +51,7 @@ export const serpQueriesTypeSchema = z.object({
|
||||
});
|
||||
|
||||
// take en user query, return a list of SERP queries
|
||||
export function generateSerpQueries({
|
||||
export function generateSearchQueries({
|
||||
query,
|
||||
numQueries = 3,
|
||||
learnings,
|
||||
@ -92,11 +93,11 @@ export function generateSerpQueries({
|
||||
});
|
||||
}
|
||||
|
||||
export const serpResultTypeSchema = z.object({
|
||||
export const searchResultTypeSchema = z.object({
|
||||
learnings: z.array(z.string()),
|
||||
followUpQuestions: z.array(z.string()),
|
||||
});
|
||||
function processSerpResult({
|
||||
function processSearchResult({
|
||||
query,
|
||||
result,
|
||||
numLearnings = 3,
|
||||
@ -170,112 +171,159 @@ export async function writeFinalReport({
|
||||
return res.object.reportMarkdown + urlsSection;
|
||||
}
|
||||
|
||||
function childNodeId(parentNodeId: string, currentIndex: number) {
|
||||
return `${parentNodeId}-${currentIndex}`;
|
||||
}
|
||||
|
||||
export async function deepResearch({
|
||||
query,
|
||||
breadth,
|
||||
depth,
|
||||
maxDepth,
|
||||
learnings = [],
|
||||
visitedUrls = [],
|
||||
onProgress,
|
||||
currentDepth = 1,
|
||||
nodeId = '0'
|
||||
}: {
|
||||
query: string;
|
||||
breadth: number;
|
||||
depth: number;
|
||||
maxDepth: number;
|
||||
learnings?: string[];
|
||||
visitedUrls?: string[];
|
||||
onProgress: (step: ResearchStep) => void;
|
||||
currentDepth?: number;
|
||||
nodeId?: string
|
||||
}): Promise<void> {
|
||||
onProgress({ type: 'start', message: `开始深度研究，深度：${depth}，广度：${breadth}`, depth, breadth });
|
||||
|
||||
try {
|
||||
const serpQueriesResult = generateSerpQueries({
|
||||
const searchQueriesResult = generateSearchQueries({
|
||||
query,
|
||||
learnings,
|
||||
numQueries: breadth,
|
||||
});
|
||||
const limit = pLimit(ConcurrencyLimit);
|
||||
|
||||
let serpQueries: PartialSerpQueries = [];
|
||||
let searchQueries: PartialSearchQuery[] = [];
|
||||
|
||||
for await (const parsedQueries of parseStreamingJson(
|
||||
serpQueriesResult.textStream,
|
||||
serpQueriesTypeSchema,
|
||||
searchQueriesResult.textStream,
|
||||
searchQueriesTypeSchema,
|
||||
(value) => !!value.queries?.length && !!value.queries[0]?.query
|
||||
)) {
|
||||
if (parsedQueries.queries) {
|
||||
serpQueries = parsedQueries.queries;
|
||||
onProgress({
|
||||
type: 'generating_queries',
|
||||
result: serpQueries,
|
||||
depth,
|
||||
breadth
|
||||
});
|
||||
for (let i = 0; i < searchQueries.length; i++) {
|
||||
onProgress({
|
||||
type: 'generating_query',
|
||||
result: searchQueries[i],
|
||||
depth: currentDepth,
|
||||
breadth,
|
||||
nodeIndex: i,
|
||||
nodeId: childNodeId(nodeId, i)
|
||||
});
|
||||
}
|
||||
searchQueries = parsedQueries.queries;
|
||||
}
|
||||
}
|
||||
|
||||
for (let i = 0; i < searchQueries.length; i++) {
|
||||
onProgress({
|
||||
type: 'generated_query',
|
||||
query,
|
||||
result: searchQueries[i],
|
||||
depth: currentDepth,
|
||||
breadth,
|
||||
nodeIndex: i,
|
||||
nodeId: childNodeId(nodeId, i)
|
||||
});
|
||||
}
|
||||
|
||||
await Promise.all(
|
||||
serpQueries.map(serpQuery =>
|
||||
searchQueries.map((searchQuery, nodeIndex) =>
|
||||
limit(async () => {
|
||||
if (!serpQuery?.query) return
|
||||
if (!searchQuery?.query) return
|
||||
onProgress({
|
||||
type: 'searching',
|
||||
query: searchQuery.query,
|
||||
depth: currentDepth,
|
||||
breadth,
|
||||
nodeIndex,
|
||||
nodeId: childNodeId(nodeId, nodeIndex)
|
||||
})
|
||||
try {
|
||||
// const result = await firecrawl.search(serpQuery.query, {
|
||||
// const result = await firecrawl.search(searchQuery.query, {
|
||||
// timeout: 15000,
|
||||
// limit: 5,
|
||||
// scrapeOptions: { formats: ['markdown'] },
|
||||
// });
|
||||
const result = await tvly.search(serpQuery.query, {
|
||||
const result = await tvly.search(searchQuery.query, {
|
||||
maxResults: 5,
|
||||
})
|
||||
console.log(`Ran ${serpQuery.query}, found ${result.results.length} contents`);
|
||||
console.log(`Ran ${searchQuery.query}, found ${result.results.length} contents`);
|
||||
|
||||
// Collect URLs from this search
|
||||
const newUrls = compact(result.results.map(item => item.url));
|
||||
const newBreadth = Math.ceil(breadth / 2);
|
||||
const newDepth = depth - 1;
|
||||
// Breadth for the next search is half of the current breadth
|
||||
const nextBreadth = Math.ceil(breadth / 2);
|
||||
|
||||
const serpResultGenerator = processSerpResult({
|
||||
query: serpQuery.query,
|
||||
const searchResultGenerator = processSearchResult({
|
||||
query: searchQuery.query,
|
||||
result,
|
||||
numFollowUpQuestions: newBreadth,
|
||||
numFollowUpQuestions: nextBreadth,
|
||||
});
|
||||
let serpResult: PartialSearchResult = {};
|
||||
let searchResult: PartialSearchResult = {};
|
||||
|
||||
for await (const parsedLearnings of parseStreamingJson(
|
||||
serpResultGenerator.textStream,
|
||||
serpResultTypeSchema,
|
||||
searchResultGenerator.textStream,
|
||||
searchResultTypeSchema,
|
||||
(value) => !!value.learnings?.length
|
||||
)) {
|
||||
serpResult = parsedLearnings;
|
||||
searchResult = parsedLearnings;
|
||||
onProgress({
|
||||
type: 'processing_serach_result',
|
||||
result: parsedLearnings,
|
||||
depth,
|
||||
breadth,
|
||||
query: serpQuery.query,
|
||||
queryIndex: serpQueries.indexOf(serpQuery),
|
||||
depth: currentDepth,
|
||||
breadth: breadth,
|
||||
query: searchQuery.query,
|
||||
nodeIndex: nodeIndex,
|
||||
nodeId: childNodeId(nodeId, nodeIndex)
|
||||
});
|
||||
}
|
||||
console.log(`Processed serp result for ${serpQuery.query}`, serpResult);
|
||||
const allLearnings = [...learnings, ...(serpResult.learnings ?? [])];
|
||||
console.log(`Processed search result for ${searchQuery.query}`, searchResult);
|
||||
const allLearnings = [...learnings, ...(searchResult.learnings ?? [])];
|
||||
const allUrls = [...visitedUrls, ...newUrls];
|
||||
const nextDepth = currentDepth + 1;
|
||||
|
||||
if (newDepth > 0 && serpResult.followUpQuestions?.length) {
|
||||
console.log(
|
||||
`Researching deeper, breadth: ${newBreadth}, depth: ${newDepth}`,
|
||||
onProgress({
|
||||
type: 'processed_search_result',
|
||||
result: {
|
||||
learnings: allLearnings,
|
||||
followUpQuestions: searchResult.followUpQuestions ?? [],
|
||||
},
|
||||
depth: currentDepth,
|
||||
breadth,
|
||||
query: searchQuery.query,
|
||||
nodeIndex: nodeIndex,
|
||||
nodeId: childNodeId(nodeId, nodeIndex)
|
||||
})
|
||||
|
||||
if (nextDepth < maxDepth && searchResult.followUpQuestions?.length) {
|
||||
console.warn(
|
||||
`Researching deeper, breadth: ${nextBreadth}, depth: ${nextDepth}`,
|
||||
);
|
||||
|
||||
const nextQuery = `
|
||||
Previous research goal: ${serpQuery.researchGoal}
|
||||
Follow-up research directions: ${serpResult.followUpQuestions.map(q => `\n${q}`).join('')}
|
||||
Previous research goal: ${searchQuery.researchGoal}
|
||||
Follow-up research directions: ${searchResult.followUpQuestions.map(q => `\n${q}`).join('')}
|
||||
`.trim();
|
||||
|
||||
return deepResearch({
|
||||
query: nextQuery,
|
||||
breadth: newBreadth,
|
||||
depth: newDepth,
|
||||
breadth: nextBreadth,
|
||||
maxDepth,
|
||||
learnings: allLearnings,
|
||||
visitedUrls: allUrls,
|
||||
onProgress,
|
||||
currentDepth: nextDepth,
|
||||
nodeId: childNodeId(nodeId, nodeIndex),
|
||||
});
|
||||
} else {
|
||||
return {
|
||||
@ -284,7 +332,7 @@ export async function deepResearch({
|
||||
};
|
||||
}
|
||||
} catch (e: any) {
|
||||
throw new Error(`Error searching for ${serpQuery.query}, depth ${depth}\nMessage: ${e.message}`)
|
||||
throw new Error(`Error searching for ${searchQuery.query}, depth ${currentDepth}\nMessage: ${e.message}`)
|
||||
}
|
||||
}),
|
||||
),
|
||||
@ -294,6 +342,8 @@ export async function deepResearch({
|
||||
onProgress({
|
||||
type: 'error',
|
||||
message: error?.message ?? 'Something went wrong',
|
||||
depth: currentDepth,
|
||||
nodeId,
|
||||
})
|
||||
}
|
||||
|
||||
|
||||
@ -11,17 +11,15 @@
|
||||
},
|
||||
"dependencies": {
|
||||
"@ai-sdk/openai": "^1.1.9",
|
||||
"@ai-sdk/openai-compatible": "^0.1.8",
|
||||
"@ai-sdk/provider-utils": "^2.1.6",
|
||||
"@ai-sdk/ui-utils": "^1.1.11",
|
||||
"@ai-sdk/vue": "^1.1.11",
|
||||
"@iconify-json/lucide": "^1.2.26",
|
||||
"@mendable/firecrawl-js": "^1.16.0",
|
||||
"@nuxt/ui": "3.0.0-alpha.12",
|
||||
"@tailwindcss/typography": "^0.5.16",
|
||||
"@tavily/core": "^0.0.3",
|
||||
"@types/lodash-es": "^4.17.12",
|
||||
"ai": "^4.1.28",
|
||||
"d3": "^7.9.0",
|
||||
"js-tiktoken": "^1.0.18",
|
||||
"lodash-es": "^4.17.21",
|
||||
"marked": "^15.0.7",
|
||||
|
||||
@ -1,14 +1,12 @@
|
||||
<template>
|
||||
<div>
|
||||
<UContainer>
|
||||
<div class="py-8">
|
||||
<div class="max-w-4xl mx-auto">
|
||||
<h1 class="text-3xl font-bold text-center mb-2"> Deep Research Assistant </h1>
|
||||
<ColorModeButton></ColorModeButton>
|
||||
<ResearchForm @submit="generateFeedback" />
|
||||
<ResearchFeedback v-model="result.feedback" ref="feedbackRef" @submit="startDeepSearch" />
|
||||
<DeepResearch v-model="searchTree" ref="deepResearchRef" class="mb-8" />
|
||||
</div>
|
||||
<div class="max-w-4xl mx-auto py-8 space-y-4">
|
||||
<h1 class="text-3xl font-bold text-center mb-2"> Deep Research Assistant </h1>
|
||||
<ColorModeButton></ColorModeButton>
|
||||
<ResearchForm @submit="generateFeedback" />
|
||||
<ResearchFeedback v-model="result.feedback" ref="feedbackRef" @submit="startDeepSearch" />
|
||||
<DeepResearch ref="deepResearchRef" class="mb-8" />
|
||||
</div>
|
||||
</UContainer>
|
||||
</div>
|
||||
@ -18,7 +16,6 @@
|
||||
import type ResearchFeedback from '~/components/ResearchFeedback.vue'
|
||||
import type DeepResearch from '~/components/DeepResearch.vue'
|
||||
import type { ResearchInputData } from '~/components/ResearchForm.vue'
|
||||
import type { SearchTree } from '~/components/DeepResearch.vue'
|
||||
import type { ResearchFeedbackResult } from '~/components/ResearchFeedback.vue'
|
||||
|
||||
interface DeepResearchResult {
|
||||
@ -39,7 +36,7 @@
|
||||
const result = ref<DeepResearchResult>({
|
||||
feedback: [],
|
||||
})
|
||||
const searchTree = ref<SearchTree>({
|
||||
const searchTree = ref({
|
||||
root: null,
|
||||
currentDepth: 0,
|
||||
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|
||||
|
||||
346
pnpm-lock.yaml
generated
346
pnpm-lock.yaml
generated
@ -11,18 +11,15 @@ importers:
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
@ -41,9 +38,6 @@ importers:
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||||
ai:
|
||||
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|
||||
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||||
d3:
|
||||
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|
||||
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js-tiktoken:
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||||
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|
||||
resolution: {integrity: sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==}
|
||||
|
||||
scule@1.3.0:
|
||||
resolution: {integrity: sha512-6FtHJEvt+pVMIB9IBY+IcCJ6Z5f1iQnytgyfKMhDKgmzYG+TeH/wx1y3l27rshSbLiSanrR9ffZDrEsmjlQF2g==}
|
||||
|
||||
@ -3868,12 +3712,6 @@ packages:
|
||||
|
||||
snapshots:
|
||||
|
||||
'@ai-sdk/openai-compatible@0.1.8(zod@3.24.1)':
|
||||
dependencies:
|
||||
'@ai-sdk/provider': 1.0.7
|
||||
'@ai-sdk/provider-utils': 2.1.6(zod@3.24.1)
|
||||
zod: 3.24.1
|
||||
|
||||
'@ai-sdk/openai@1.1.9(zod@3.24.1)':
|
||||
dependencies:
|
||||
'@ai-sdk/provider': 1.0.7
|
||||
@ -4238,6 +4076,10 @@ snapshots:
|
||||
- '@vue/composition-api'
|
||||
- vue
|
||||
|
||||
'@iconify-json/lucide@1.2.26':
|
||||
dependencies:
|
||||
'@iconify/types': 2.0.0
|
||||
|
||||
'@iconify/collections@1.0.515':
|
||||
dependencies:
|
||||
'@iconify/types': 2.0.0
|
||||
@ -5730,158 +5572,6 @@ snapshots:
|
||||
|
||||
csstype@3.1.3: {}
|
||||
|
||||
d3-array@3.2.4:
|
||||
dependencies:
|
||||
internmap: 2.0.3
|
||||
|
||||
d3-axis@3.0.0: {}
|
||||
|
||||
d3-brush@3.0.0:
|
||||
dependencies:
|
||||
d3-dispatch: 3.0.1
|
||||
d3-drag: 3.0.0
|
||||
d3-interpolate: 3.0.1
|
||||
d3-selection: 3.0.0
|
||||
d3-transition: 3.0.1(d3-selection@3.0.0)
|
||||
|
||||
d3-chord@3.0.1:
|
||||
dependencies:
|
||||
d3-path: 3.1.0
|
||||
|
||||
d3-color@3.1.0: {}
|
||||
|
||||
d3-contour@4.0.2:
|
||||
dependencies:
|
||||
d3-array: 3.2.4
|
||||
|
||||
d3-delaunay@6.0.4:
|
||||
dependencies:
|
||||
delaunator: 5.0.1
|
||||
|
||||
d3-dispatch@3.0.1: {}
|
||||
|
||||
d3-drag@3.0.0:
|
||||
dependencies:
|
||||
d3-dispatch: 3.0.1
|
||||
d3-selection: 3.0.0
|
||||
|
||||
d3-dsv@3.0.1:
|
||||
dependencies:
|
||||
commander: 7.2.0
|
||||
iconv-lite: 0.6.3
|
||||
rw: 1.3.3
|
||||
|
||||
d3-ease@3.0.1: {}
|
||||
|
||||
d3-fetch@3.0.1:
|
||||
dependencies:
|
||||
d3-dsv: 3.0.1
|
||||
|
||||
d3-force@3.0.0:
|
||||
dependencies:
|
||||
d3-dispatch: 3.0.1
|
||||
d3-quadtree: 3.0.1
|
||||
d3-timer: 3.0.1
|
||||
|
||||
d3-format@3.1.0: {}
|
||||
|
||||
d3-geo@3.1.1:
|
||||
dependencies:
|
||||
d3-array: 3.2.4
|
||||
|
||||
d3-hierarchy@3.1.2: {}
|
||||
|
||||
d3-interpolate@3.0.1:
|
||||
dependencies:
|
||||
d3-color: 3.1.0
|
||||
|
||||
d3-path@3.1.0: {}
|
||||
|
||||
d3-polygon@3.0.1: {}
|
||||
|
||||
d3-quadtree@3.0.1: {}
|
||||
|
||||
d3-random@3.0.1: {}
|
||||
|
||||
d3-scale-chromatic@3.1.0:
|
||||
dependencies:
|
||||
d3-color: 3.1.0
|
||||
d3-interpolate: 3.0.1
|
||||
|
||||
d3-scale@4.0.2:
|
||||
dependencies:
|
||||
d3-array: 3.2.4
|
||||
d3-format: 3.1.0
|
||||
d3-interpolate: 3.0.1
|
||||
d3-time: 3.1.0
|
||||
d3-time-format: 4.1.0
|
||||
|
||||
d3-selection@3.0.0: {}
|
||||
|
||||
d3-shape@3.2.0:
|
||||
dependencies:
|
||||
d3-path: 3.1.0
|
||||
|
||||
d3-time-format@4.1.0:
|
||||
dependencies:
|
||||
d3-time: 3.1.0
|
||||
|
||||
d3-time@3.1.0:
|
||||
dependencies:
|
||||
d3-array: 3.2.4
|
||||
|
||||
d3-timer@3.0.1: {}
|
||||
|
||||
d3-transition@3.0.1(d3-selection@3.0.0):
|
||||
dependencies:
|
||||
d3-color: 3.1.0
|
||||
d3-dispatch: 3.0.1
|
||||
d3-ease: 3.0.1
|
||||
d3-interpolate: 3.0.1
|
||||
d3-selection: 3.0.0
|
||||
d3-timer: 3.0.1
|
||||
|
||||
d3-zoom@3.0.0:
|
||||
dependencies:
|
||||
d3-dispatch: 3.0.1
|
||||
d3-drag: 3.0.0
|
||||
d3-interpolate: 3.0.1
|
||||
d3-selection: 3.0.0
|
||||
d3-transition: 3.0.1(d3-selection@3.0.0)
|
||||
|
||||
d3@7.9.0:
|
||||
dependencies:
|
||||
d3-array: 3.2.4
|
||||
d3-axis: 3.0.0
|
||||
d3-brush: 3.0.0
|
||||
d3-chord: 3.0.1
|
||||
d3-color: 3.1.0
|
||||
d3-contour: 4.0.2
|
||||
d3-delaunay: 6.0.4
|
||||
d3-dispatch: 3.0.1
|
||||
d3-drag: 3.0.0
|
||||
d3-dsv: 3.0.1
|
||||
d3-ease: 3.0.1
|
||||
d3-fetch: 3.0.1
|
||||
d3-force: 3.0.0
|
||||
d3-format: 3.1.0
|
||||
d3-geo: 3.1.1
|
||||
d3-hierarchy: 3.1.2
|
||||
d3-interpolate: 3.0.1
|
||||
d3-path: 3.1.0
|
||||
d3-polygon: 3.0.1
|
||||
d3-quadtree: 3.0.1
|
||||
d3-random: 3.0.1
|
||||
d3-scale: 4.0.2
|
||||
d3-scale-chromatic: 3.1.0
|
||||
d3-selection: 3.0.0
|
||||
d3-shape: 3.2.0
|
||||
d3-time: 3.1.0
|
||||
d3-time-format: 4.1.0
|
||||
d3-timer: 3.0.1
|
||||
d3-transition: 3.0.1(d3-selection@3.0.0)
|
||||
d3-zoom: 3.0.0
|
||||
|
||||
db0@0.2.3: {}
|
||||
|
||||
debug@2.6.9:
|
||||
@ -5909,10 +5599,6 @@ snapshots:
|
||||
|
||||
defu@6.1.4: {}
|
||||
|
||||
delaunator@5.0.1:
|
||||
dependencies:
|
||||
robust-predicates: 3.0.2
|
||||
|
||||
delayed-stream@1.0.0: {}
|
||||
|
||||
denque@2.1.0: {}
|
||||
@ -6319,10 +6005,6 @@ snapshots:
|
||||
|
||||
human-signals@5.0.0: {}
|
||||
|
||||
iconv-lite@0.6.3:
|
||||
dependencies:
|
||||
safer-buffer: 2.1.2
|
||||
|
||||
ieee754@1.2.1: {}
|
||||
|
||||
ignore@7.0.3: {}
|
||||
@ -6352,8 +6034,6 @@ snapshots:
|
||||
|
||||
ini@4.1.1: {}
|
||||
|
||||
internmap@2.0.3: {}
|
||||
|
||||
ioredis@5.5.0:
|
||||
dependencies:
|
||||
'@ioredis/commands': 1.2.0
|
||||
@ -7392,8 +7072,6 @@ snapshots:
|
||||
dependencies:
|
||||
glob: 10.4.5
|
||||
|
||||
robust-predicates@3.0.2: {}
|
||||
|
||||
rollup-plugin-visualizer@5.14.0(rollup@4.34.6):
|
||||
dependencies:
|
||||
open: 8.4.2
|
||||
@ -7434,14 +7112,10 @@ snapshots:
|
||||
dependencies:
|
||||
queue-microtask: 1.2.3
|
||||
|
||||
rw@1.3.3: {}
|
||||
|
||||
safe-buffer@5.1.2: {}
|
||||
|
||||
safe-buffer@5.2.1: {}
|
||||
|
||||
safer-buffer@2.1.2: {}
|
||||
|
||||
scule@1.3.0: {}
|
||||
|
||||
secure-json-parse@2.7.0: {}
|
||||
|
||||
@ -1,3 +1,4 @@
|
||||
// This file is currently unused
|
||||
import { deepResearch, ResearchStep } from "~/lib/deep-research";
|
||||
|
||||
export default defineEventHandler(async event => {
|
||||
|
||||
Reference in New Issue
Block a user