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feat(web): 优化冗余边检测

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v-zhangjc9
2025-06-30 10:41:40 +08:00
parent 111ca49815
commit 67f41c08a0
4 changed files with 47 additions and 50 deletions
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10
service-web/client/src/pages/ai/flow/FlowChecker.test.tsx
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@@ -1,5 +1,6 @@
import {expect, test} from 'vitest'
import {type Connection, type Node} from '@xyflow/react'
import {uuid} from 'licia'
import {expect, test} from 'vitest'
import {
atLeastOneEndNodeError,
atLeastOneStartNodeError,
@@ -13,9 +14,8 @@ import {
nodeToSelfError,
sourceNodeNotFoundError,
startNodeToEndNodeError,
targetNodeNotFoundError
targetNodeNotFoundError,
} from './FlowChecker.tsx'
import {uuid} from 'licia'
const createNode = (id: string, type: string): Node => {
return {
@@ -97,9 +97,9 @@ test(hasRedundantEdgeError().message, () => {
const {
nodes,
edges,
} = JSON.parse('{\n "nodes": [\n {\n "id": "ldoKAzHnKF",\n "type": "llm-node",\n "position": {\n "x": 207,\n "y": -38\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 105\n },\n "selected": false,\n "dragging": false\n },\n {\n "id": "1eJtMoJWs6",\n "type": "llm-node",\n "position": {\n "x": 207,\n "y": 172.5\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 105\n },\n "selected": false,\n "dragging": false\n },\n {\n "id": "7e5vQLDGTl",\n "type": "start-node",\n "position": {\n "x": -162.3520537805597,\n "y": 67.84901301708827\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 105\n },\n "selected": false,\n "dragging": false\n },\n {\n "id": "Wyqg_bXILg",\n "type": "knowledge-node",\n "position": {\n "x": 560.402133595296,\n "y": -38.892263766178665\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 75\n },\n "selected": false,\n "dragging": false\n },\n {\n "id": "7DaF-0G-yv",\n "type": "llm-node",\n "position": {\n "x": 634.9924233956513,\n "y": 172.01821084172227\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 75\n },\n "selected": false,\n "dragging": false\n },\n {\n "id": "mymIbw_W6k",\n "type": "end-node",\n "position": {\n "x": 953.9302142661356,\n "y": 172.0182108417223\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 75\n },\n "selected": false,\n "dragging": false\n }\n ],\n "edges": [\n {\n "source": "7e5vQLDGTl",\n "target": "ldoKAzHnKF",\n "id": "xy-edge__7e5vQLDGTl-ldoKAzHnKF"\n },\n {\n "source": "ldoKAzHnKF",\n "target": "Wyqg_bXILg",\n "id": "xy-edge__ldoKAzHnKF-Wyqg_bXILg"\n },\n {\n "source": "7e5vQLDGTl",\n "target": "1eJtMoJWs6",\n "id": "xy-edge__7e5vQLDGTl-1eJtMoJWs6"\n },\n {\n "source": "Wyqg_bXILg",\n "target": "7DaF-0G-yv",\n "id": "xy-edge__Wyqg_bXILg-7DaF-0G-yv"\n },\n {\n "source": "1eJtMoJWs6",\n "target": "7DaF-0G-yv",\n "id": "xy-edge__1eJtMoJWs6-7DaF-0G-yv"\n },\n {\n "source": "7DaF-0G-yv",\n "target": "mymIbw_W6k",\n "id": "xy-edge__7DaF-0G-yv-mymIbw_W6k"\n }\n ],\n "data": {\n "7e5vQLDGTl": {\n "inputs": {\n "question": {\n "type": "text",\n "description": "问题"\n }\n }\n },\n "ldoKAzHnKF": {\n "model": "qwen3",\n "outputs": {\n "text": {\n "type": "string"\n }\n },\n "systemPrompt": "你是个聪明人"\n },\n "1eJtMoJWs6": {\n "model": "deepseek",\n "outputs": {\n "text": {\n "type": "string"\n }\n },\n "systemPrompt": "你也是个好人"\n }\n }\n}')
} = JSON.parse('{\n "nodes": [\n {\n "id": "TCxPixrdkI",\n "type": "start-node",\n "position": {\n "x": -256,\n "y": 109.5\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 83\n },\n "selected": false,\n "dragging": false\n },\n {\n "id": "tGs78_ietp",\n "type": "llm-node",\n "position": {\n "x": 108,\n "y": -2.5\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 105\n },\n "selected": false,\n "dragging": false\n },\n {\n "id": "OeZdaU7LpY",\n "type": "llm-node",\n "position": {\n "x": 111,\n "y": 196\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 105\n },\n "selected": false,\n "dragging": false\n },\n {\n "id": "LjfoCYZo-E",\n "type": "knowledge-node",\n "position": {\n "x": 497.62196259607214,\n "y": -10.792497317791003\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 75\n },\n "selected": true,\n "dragging": false\n },\n {\n "id": "sQM_22GYB5",\n "type": "end-node",\n "position": {\n "x": 874.3164534765615,\n "y": 151.70316541496913\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 75\n },\n "selected": false,\n "dragging": false\n },\n {\n "id": "KpMH_xc3ZZ",\n "type": "llm-node",\n "position": {\n "x": 529.6286840434341,\n "y": 150.4721376669937\n },\n "data": {},\n "measured": {\n "width": 256,\n "height": 75\n },\n "selected": false,\n "dragging": false\n }\n ],\n "edges": [\n {\n "source": "TCxPixrdkI",\n "sourceHandle": "source",\n "target": "tGs78_ietp",\n "targetHandle": "target",\n "id": "xy-edge__TCxPixrdkIsource-tGs78_ietptarget"\n },\n {\n "source": "TCxPixrdkI",\n "sourceHandle": "source",\n "target": "OeZdaU7LpY",\n "targetHandle": "target",\n "id": "xy-edge__TCxPixrdkIsource-OeZdaU7LpYtarget"\n },\n {\n "source": "tGs78_ietp",\n "sourceHandle": "source",\n "target": "LjfoCYZo-E",\n "targetHandle": "target",\n "id": "xy-edge__tGs78_ietpsource-LjfoCYZo-Etarget"\n },\n {\n "source": "LjfoCYZo-E",\n "sourceHandle": "source",\n "target": "KpMH_xc3ZZ",\n "targetHandle": "target",\n "id": "xy-edge__LjfoCYZo-Esource-KpMH_xc3ZZtarget"\n },\n {\n "source": "OeZdaU7LpY",\n "sourceHandle": "source",\n "target": "KpMH_xc3ZZ",\n "targetHandle": "target",\n "id": "xy-edge__OeZdaU7LpYsource-KpMH_xc3ZZtarget"\n },\n {\n "source": "KpMH_xc3ZZ",\n "sourceHandle": "source",\n "target": "sQM_22GYB5",\n "targetHandle": "target",\n "id": "xy-edge__KpMH_xc3ZZsource-sQM_22GYB5target"\n }\n ],\n "data": {\n "tGs78_ietp": {\n "model": "qwen3",\n "outputs": {\n "text": {\n "type": "string"\n }\n },\n "systemPrompt": "你是个聪明人"\n },\n "OeZdaU7LpY": {\n "model": "qwen3",\n "outputs": {\n "text": {\n "type": "string"\n }\n },\n "systemPrompt": "你也是个聪明人"\n }\n }\n}')
// language=JSON
checkAddConnection(JSON.parse('{\n "source": "1eJtMoJWs6",\n "sourceHandle": null,\n "target": "Wyqg_bXILg",\n "targetHandle": null\n}'), nodes, edges)
checkAddConnection(JSON.parse('{\n "source": "OeZdaU7LpY",\n "sourceHandle": "source",\n "target": "LjfoCYZo-E",\n "targetHandle": "target"\n}'), nodes, edges)
}).toThrowError(hasRedundantEdgeError())
})