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sdream-ai-fe
Commit 6992b396 by Liu
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fix：提问自动进入子工作流

parent e9c54c3a
Showing with 1678 additions and 249 deletions
package-lock.json
......@@ -16,6 +16,7 @@
"date-fns": "^3.6.0",
"docx-preview": "^0.3.6",
"github-markdown-css": "^5.8.0",
"mermaid": "^11.13.0",
"pdfjs-dist": "^5.4.149",
"react": "^18.3.1",
"react-dom": "^18.3.1",
......@@ -646,6 +647,18 @@
"node": ">=6.9.0"
}
},
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"resolved": "https://registry.npmmirror.com/@braintree/sanitize-url/-/sanitize-url-7.1.2.tgz",
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"license": "MIT"
},
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"license": "Apache-2.0"
},
"node_modules/@clack/core": {
"version": "0.3.5",
"resolved": "https://registry.npmmirror.com/@clack/core/-/core-0.3.5.tgz",
......@@ -675,7 +688,7 @@
},
"node_modules/@clack/prompts/node_modules/is-unicode-supported": {
"version": "1.3.0",
"dev": true,
"extraneous": true,
"inBundle": true,
"license": "MIT",
"engines": {
......@@ -2698,6 +2711,51 @@
"deprecated": "Use @eslint/object-schema instead",
"license": "BSD-3-Clause"
},
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},
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"license": "MIT",
"dependencies": {
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"@iconify/types": "^2.0.0",
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}
},
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"dependencies": {
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"tinyexec": "^1.0.1"
},
"funding": {
"url": "https://github.com/sponsors/antfu"
}
},
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}
},
"node_modules/@internationalized/date": {
"version": "3.6.0",
"resolved": "https://registry.npmmirror.com/@internationalized/date/-/date-3.6.0.tgz",
......@@ -2877,6 +2935,15 @@
"@jridgewell/sourcemap-codec": "^1.4.14"
}
},
"node_modules/@mermaid-js/parser": {
"version": "1.1.1",
"resolved": "https://registry.npmmirror.com/@mermaid-js/parser/-/parser-1.1.1.tgz",
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"license": "MIT",
"dependencies": {
"@chevrotain/types": "~11.1.1"
}
},
"node_modules/@module-federation/error-codes": {
"version": "0.17.1",
"resolved": "https://registry.npmmirror.com/@module-federation/error-codes/-/error-codes-0.17.1.tgz",
......@@ -6501,6 +6568,259 @@
"@types/node": "*"
}
},
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"resolved": "https://registry.npmmirror.com/@types/d3/-/d3-7.4.3.tgz",
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"@types/d3-drag": "*",
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"@types/d3-format": "*",
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"@types/d3-hierarchy": "*",
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"@types/d3-scale": "*",
"@types/d3-scale-chromatic": "*",
"@types/d3-selection": "*",
"@types/d3-shape": "*",
"@types/d3-time": "*",
"@types/d3-time-format": "*",
"@types/d3-timer": "*",
"@types/d3-transition": "*",
"@types/d3-zoom": "*"
}
},
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......@@ -6547,6 +6867,12 @@
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}
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......@@ -6647,6 +6973,13 @@
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}
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......@@ -7249,6 +7582,16 @@
"win32"
]
},
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"integrity": "sha512-Eeo8Ys1doU1z+x8AZsPpQu+p/QcZBI5PeOo7QGQdy2x2m0MU/hYagBbGOmXwr5KVbEfVuWv9LpnQWeehogurjg==",
"funding": [
"https://opencollective.com/katex",
"https://github.com/sponsors/katex"
],
"license": "MIT",
"dependencies": {
"commander": "^8.3.0"
},
"bin": {
"katex": "cli.js"
}
},
"node_modules/katex/node_modules/commander": {
"version": "8.3.0",
"resolved": "https://registry.npmmirror.com/commander/-/commander-8.3.0.tgz",
"integrity": "sha512-OkTL9umf+He2DZkUq8f8J9of7yL6RJKI24dVITBmNfZBmri9zYZQrKkuXiKhyfPSu8tUhnVBB1iKXevvnlR4Ww==",
"license": "MIT",
"engines": {
"node": ">= 12"
}
},
"node_modules/keyv": {
"version": "4.5.4",
"resolved": "https://registry.npmmirror.com/keyv/-/keyv-4.5.4.tgz",
......@@ -11922,6 +12872,17 @@
"json-buffer": "3.0.1"
}
},
"node_modules/khroma": {
"version": "2.1.0",
"resolved": "https://registry.npmmirror.com/khroma/-/khroma-2.1.0.tgz",
"integrity": "sha512-Ls993zuzfayK269Svk9hzpeGUKob/sIgZzyHYdjQoAdQetRKpOLj+k/QQQ/6Qi0Yz65mlROrfd+Ev+1+7dz9Kw=="
},
"node_modules/layout-base": {
"version": "1.0.2",
"resolved": "https://registry.npmmirror.com/layout-base/-/layout-base-1.0.2.tgz",
"integrity": "sha512-8h2oVEZNktL4BH2JCOI90iD1yXwL6iNW7KcCKT2QZgQJR2vbqDsldCTPRU9NifTCqHZci57XvQQ15YTu+sTYPg==",
"license": "MIT"
},
"node_modules/levn": {
"version": "0.4.1",
"resolved": "https://registry.npmmirror.com/levn/-/levn-0.4.1.tgz",
......@@ -12088,6 +13049,12 @@
"integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==",
"license": "MIT"
},
"node_modules/lodash-es": {
"version": "4.18.1",
"resolved": "https://registry.npmmirror.com/lodash-es/-/lodash-es-4.18.1.tgz",
"integrity": "sha512-J8xewKD/Gk22OZbhpOVSwcs60zhd95ESDwezOFuA3/099925PdHJ7OFHNTGtajL3AlZkykD32HykiMo+BIBI8A==",
"license": "MIT"
},
"node_modules/lodash.merge": {
"version": "4.6.2",
"resolved": "https://registry.npmmirror.com/lodash.merge/-/lodash.merge-4.6.2.tgz",
......@@ -12269,6 +13236,18 @@
"url": "https://github.com/sponsors/wooorm"
}
},
"node_modules/marked": {
"version": "16.4.2",
"resolved": "https://registry.npmmirror.com/marked/-/marked-16.4.2.tgz",
"integrity": "sha512-TI3V8YYWvkVf3KJe1dRkpnjs68JUPyEa5vjKrp1XEEJUAOaQc+Qj+L1qWbPd0SJuAdQkFU0h73sXXqwDYxsiDA==",
"license": "MIT",
"bin": {
"marked": "bin/marked.js"
},
"engines": {
"node": ">= 20"
}
},
"node_modules/math-intrinsics": {
"version": "1.1.0",
"resolved": "https://registry.npmmirror.com/math-intrinsics/-/math-intrinsics-1.1.0.tgz",
......@@ -13555,6 +14534,41 @@
"node": ">= 8"
}
},
"node_modules/mermaid": {
"version": "11.15.0",
"resolved": "https://registry.npmmirror.com/mermaid/-/mermaid-11.15.0.tgz",
"integrity": "sha512-pTMbcf3rWdtLiYGpmoTjHEpeY8seiy6sR+9nD7LOs8KfUbHE4lOUAprTRqRAcWSQ6MQpdX+YEsxShtGsINtPtw==",
"license": "MIT",
"dependencies": {
"@braintree/sanitize-url": "^7.1.1",
"@iconify/utils": "^3.0.2",
"@mermaid-js/parser": "^1.1.1",
"@types/d3": "^7.4.3",
"@upsetjs/venn.js": "^2.0.0",
"cytoscape": "^3.33.1",
"cytoscape-cose-bilkent": "^4.1.0",
"cytoscape-fcose": "^2.2.0",
"d3": "^7.9.0",
"d3-sankey": "^0.12.3",
"dagre-d3-es": "7.0.14",
"dayjs": "^1.11.19",
"dompurify": "^3.3.1",
"es-toolkit": "^1.45.1",
"katex": "^0.16.25",
"khroma": "^2.1.0",
"marked": "^16.3.0",
"roughjs": "^4.6.6",
"stylis": "^4.3.6",
"ts-dedent": "^2.2.0",
"uuid": "^11.1.0 || ^12 || ^13 || ^14.0.0"
}
},
"node_modules/mermaid/node_modules/dayjs": {
"version": "1.11.20",
"resolved": "https://registry.npmmirror.com/dayjs/-/dayjs-1.11.20.tgz",
"integrity": "sha512-YbwwqR/uYpeoP4pu043q+LTDLFBLApUP6VxRihdfNTqu4ubqMlGDLd6ErXhEgsyvY0K6nCs7nggYumAN+9uEuQ==",
"license": "MIT"
},
"node_modules/micromark": {
"version": "2.11.4",
"resolved": "https://registry.npmmirror.com/micromark/-/micromark-2.11.4.tgz",
......@@ -14742,6 +15756,12 @@
"dev": true,
"license": "MIT"
},
"node_modules/path-data-parser": {
"version": "0.1.0",
"resolved": "https://registry.npmmirror.com/path-data-parser/-/path-data-parser-0.1.0.tgz",
"integrity": "sha512-NOnmBpt5Y2RWbuv0LMzsayp3lVylAHLPUTut412ZA3l+C4uw4ZVkQbjShYCQ8TCpUMdPapr4YjUqLYD6v68j+w==",
"license": "MIT"
},
"node_modules/path-exists": {
"version": "4.0.0",
"resolved": "https://registry.npmmirror.com/path-exists/-/path-exists-4.0.0.tgz",
......@@ -14905,6 +15925,22 @@
"node": ">=4"
}
},
"node_modules/points-on-curve": {
"version": "0.2.0",
"resolved": "https://registry.npmmirror.com/points-on-curve/-/points-on-curve-0.2.0.tgz",
"integrity": "sha512-0mYKnYYe9ZcqMCWhUjItv/oHjvgEsfKvnUTg8sAtnHr3GVy7rGkXCb6d5cSyqrWqL4k81b9CPg3urd+T7aop3A==",
"license": "MIT"
},
"node_modules/points-on-path": {
"version": "0.2.1",
"resolved": "https://registry.npmmirror.com/points-on-path/-/points-on-path-0.2.1.tgz",
"integrity": "sha512-25ClnWWuw7JbWZcgqY/gJ4FQWadKxGWk+3kR/7kD0tCaDtPPMj7oHu2ToLaVhfpnHrZzYby2w6tUA0eOIuUg8g==",
"license": "MIT",
"dependencies": {
"path-data-parser": "0.1.0",
"points-on-curve": "0.2.0"
}
},
"node_modules/popper.js": {
"version": "1.16.1",
"resolved": "https://registry.npmmirror.com/popper.js/-/popper.js-1.16.1.tgz",
......@@ -16148,6 +17184,24 @@
"url": "https://github.com/sponsors/isaacs"
}
},
"node_modules/robust-predicates": {
"version": "3.0.3",
"resolved": "https://registry.npmmirror.com/robust-predicates/-/robust-predicates-3.0.3.tgz",
"integrity": "sha512-NS3levdsRIUOmiJ8FZWCP7LG3QpJyrs/TE0Zpf1yvZu8cAJJ6QMW92H1c7kWpdIHo8RvmLxN/o2JXTKHp74lUA==",
"license": "Unlicense"
},
"node_modules/roughjs": {
"version": "4.6.6",
"resolved": "https://registry.npmmirror.com/roughjs/-/roughjs-4.6.6.tgz",
"integrity": "sha512-ZUz/69+SYpFN/g/lUlo2FXcIjRkSu3nDarreVdGGndHEBJ6cXPdKguS8JGxwj5HA5xIbVKSmLgr5b3AWxtRfvQ==",
"license": "MIT",
"dependencies": {
"hachure-fill": "^0.5.2",
"path-data-parser": "^0.1.0",
"points-on-curve": "^0.2.0",
"points-on-path": "^0.2.1"
}
},
"node_modules/rslog": {
"version": "1.2.11",
"resolved": "https://registry.npmmirror.com/rslog/-/rslog-1.2.11.tgz",
......@@ -16178,6 +17232,12 @@
"queue-microtask": "^1.2.2"
}
},
"node_modules/rw": {
"version": "1.3.3",
"resolved": "https://registry.npmmirror.com/rw/-/rw-1.3.3.tgz",
"integrity": "sha512-PdhdWy89SiZogBLaw42zdeqtRJ//zFd2PgQavcICDUgJT5oW10QCRKbJ6bg4r0/UY2M6BWd5tkxuGFRvCkgfHQ==",
"license": "BSD-3-Clause"
},
"node_modules/safe-buffer": {
"version": "5.2.1",
"resolved": "https://registry.npmmirror.com/safe-buffer/-/safe-buffer-5.2.1.tgz",
......@@ -16203,7 +17263,6 @@
"version": "2.1.2",
"resolved": "https://registry.npmmirror.com/safer-buffer/-/safer-buffer-2.1.2.tgz",
"integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==",
"dev": true,
"license": "MIT"
},
"node_modules/scheduler": {
......@@ -17069,6 +18128,12 @@
"inline-style-parser": "0.2.4"
}
},
"node_modules/stylis": {
"version": "4.4.0",
"resolved": "https://registry.npmmirror.com/stylis/-/stylis-4.4.0.tgz",
"integrity": "sha512-5Z9ZpRzfuH6l/UAvCPAPUo3665Nk2wLaZU3x+TLHKVzIz33+sbJqbtrYoC3KD4/uVOr2Zp+L0LySezP9OHV9yA==",
"license": "MIT"
},
"node_modules/sucrase": {
"version": "3.35.0",
"resolved": "https://registry.npmmirror.com/sucrase/-/sucrase-3.35.0.tgz",
......@@ -17577,6 +18642,15 @@
"typescript": ">=4.0.0"
}
},
"node_modules/ts-dedent": {
"version": "2.2.0",
"resolved": "https://registry.npmmirror.com/ts-dedent/-/ts-dedent-2.2.0.tgz",
"integrity": "sha512-q5W7tVM71e2xjHZTlgfTDoPF/SmqKG5hddq9SzR49CH2hayqRKJtQ4mtRlSxKaJlR/+9rEM+mnBHf7I2/BQcpQ==",
"license": "MIT",
"engines": {
"node": ">=6.10"
}
},
"node_modules/ts-interface-checker": {
"version": "0.1.13",
"resolved": "https://registry.npmmirror.com/ts-interface-checker/-/ts-interface-checker-0.1.13.tgz",
......@@ -17980,6 +19054,19 @@
"node": ">= 0.4.0"
}
},
"node_modules/uuid": {
"version": "14.0.0",
"resolved": "https://registry.npmmirror.com/uuid/-/uuid-14.0.0.tgz",
"integrity": "sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg==",
"funding": [
"https://github.com/sponsors/broofa",
"https://github.com/sponsors/ctavan"
],
"license": "MIT",
"bin": {
"uuid": "dist-node/bin/uuid"
}
},
"node_modules/validate-npm-package-license": {
"version": "3.0.4",
"resolved": "https://registry.npmmirror.com/validate-npm-package-license/-/validate-npm-package-license-3.0.4.tgz",
......
src/pages/Chat/Chat.tsx
......@@ -4,7 +4,7 @@ import { Button } from '@heroui/react'
import { motion } from 'framer-motion'
import { useScroll } from 'ahooks'
import styles from './Chat.module.less'
import { type WorkflowParseOptions, getLastQaRecordWorkflowContext, hasQaWorkflowContext, hasWorkflowFormCards, isHiddenWorkflowRedirectControl, isHiddenWorkflowRedirectPayload, isWorkflowControlEnd, isWorkflowPacketEnd, markWorkflowFormSubmittedOnRecord, processApiResponse, resolveDisplayAnswerText, resolveWorkFlowSessionId, tryParseWorkflowControlJson } from './helper'
import { type WorkflowControlPayload, type WorkflowParseOptions, enrichWorkflowControlWithPacketQuestion, getLastQaRecordWorkflowContext, hasQaWorkflowContext, hasWorkflowFormCards, isHiddenWorkflowRedirectControl, isHiddenWorkflowRedirectPayload, isWorkflowControlEnd, isWorkflowControlPayloadComplete, isWorkflowEnterSubPayload, isWorkflowPacketEnd, markWorkflowFormSubmittedOnRecord, normalizeStreamAnswerChunk, parseWorkflowControlForStream, processApiResponse, resolveDisplayAnswerText, resolveWorkFlowSessionId } from './helper'
import type { WorkflowParamMap } from './lib/workflowCardForm'
import { ChatWelcome } from './components/ChatWelcome'
import { ChatItemUser } from './components/ChatItem/ChatItemUser'
......@@ -28,10 +28,20 @@ type WorkflowStreamAnswer = Answer & {
workflowParseText?: string
workflowAnswerChunk?: string
workflowPacketEnd?: boolean
/** 任一分片解析到的工作流控制 JSON，流结束后用于自动续问 */
workflowDetectedControl?: WorkflowControlPayload
}
const PENDING_WORKFLOW_SILENT_BOOTSTRAP_KEY = 'pendingWorkflowSilentBootstrap'
function findLastAiIndex(items: ChatRecord[]): number {
for (let i = items.length - 1; i >= 0; i--) {
if (items[i].role === 'ai')
return i
}
return -1
}
function makeLocalGroupId(prefix: string) {
try {
// modern browsers
......@@ -126,6 +136,8 @@ export const Chat: React.FC = () => {
...(snapshot.workflowPacketEnd ? { packetEnd: true } : {}),
}
}, [])
/** 当前流式请求对应的 AI 气泡 groupId，避免写入错误的历史 AI 记录 */
const activeStreamingAiGroupIdRef = useRef<string | null>(null)
/** 工作流静默续跑（空问题开子/子流/表单提交）：提交前已追加独立 AI 占位，流式勿再覆盖上一条 */
const workflowSilentAppendAiRef = useRef(false)
/** 本次 paramMap 表单提交对应的 AI 记录标识（recordId 或 groupId），流结束后标记 workflowFormSubmitted */
......@@ -285,19 +297,21 @@ export const Chat: React.FC = () => {
lastAnswer: WorkflowStreamAnswer,
) => {
const streamSnapshot = lastStreamedAiAnswerRef.current
const parseText = streamSnapshot?.workflowParseText
?? lastAnswer.workflowParseText
?? lastAnswer.answer
?? ''
const parseOptions = buildWorkflowParseOptions(streamSnapshot ?? lastAnswer)
const parsedAnswer = tryParseWorkflowControlJson(parseText, parseOptions)
const packetQuestion = (lastAnswer as WorkflowStreamAnswer & { question?: string }).question
const wfParseText = trimSpacesOnly(
lastAnswer.workflowParseText ?? streamSnapshot?.workflowParseText ?? lastAnswer.answer ?? '',
)
let parsedAnswer = parseWorkflowControlForStream(wfParseText, parseOptions, packetQuestion)
if (!parsedAnswer) {
const detected = lastAnswer.workflowDetectedControl ?? streamSnapshot?.workflowDetectedControl
const enriched = enrichWorkflowControlWithPacketQuestion(detected, packetQuestion, wfParseText)
if (enriched && isWorkflowControlPayloadComplete(enriched))
parsedAnswer = enriched
}
const lastAnswerSessionId = resolveWorkFlowSessionId(lastAnswer)
const hasHiddenRedirect = isHiddenWorkflowRedirectPayload(parsedAnswer)
const hasEnterSubSignal = Boolean(
parsedAnswer?.recordType != null
&& String(parsedAnswer.recordType).trim()
&& parsedAnswer.question != null,
)
const hasEnterSubSignal = isWorkflowEnterSubPayload(parsedAnswer)
const wf = businessInsightWorkflowRef.current
const shouldHandleWorkflowAnswer = Boolean(lastAnswerSessionId)
......@@ -395,7 +409,7 @@ export const Chat: React.FC = () => {
return
}
if (parsedAnswer?.recordType != null && parsedAnswer.question != null) {
if (hasEnterSubSignal && parsedAnswer) {
const subRecordType = String(parsedAnswer.recordType).trim()
const controlQ = parsedAnswer.question != null ? String(parsedAnswer.question).trim() : ''
const mainUserQ = lastMainUserQuestionRef.current?.trim() || ''
......@@ -416,6 +430,7 @@ export const Chat: React.FC = () => {
pendingSubQuestionRef.current = pendingQ || null
pendingSubOpenRecordTypeRef.current = subRecordType
expectingSubWorkflowOpenRef.current = true
console.log('[Chat WF] 自动开子工作流', { recordType: subRecordType, pendingQ, mainSessionId })
queueMicrotask(() => {
void handleSubmitQuestionRef.current?.('', undefined, resolveWorkflowToolId() || undefined, {
recordType: subRecordType,
......@@ -476,9 +491,68 @@ export const Chat: React.FC = () => {
/** 处理正常stream的数据 */
const handleStreamMesageData = (msg: any, question: string) => {
const packetData = msg.content?.data || {}
const answerChunk = normalizeStreamAnswerChunk(packetData.answer)
const prevRef = lastStreamedAiAnswerRef.current
const previousRaw = prevRef?.workflowParseText ?? ''
const originalAnswer = previousRaw + answerChunk
let filteredAnswer = originalAnswer.replace(/\([^)]*\)/g, (match, offset, str) => {
return str[offset - 1] === ']' ? match : ''
})
filteredAnswer = filteredAnswer.replace(/\[参考文档(?:《[^》]*》\s*)+\]/g, '')
filteredAnswer = trimSpacesOnly(filteredAnswer)
const packetEnd = isWorkflowPacketEnd(packetData)
const streamParseOptions: WorkflowParseOptions | undefined = (
answerChunk || packetEnd
)
? {
...(answerChunk ? { answerChunk } : {}),
...(packetEnd ? { packetEnd: true } : {}),
}
: undefined
const { endAnswerFlag: _syncOmitEnd, ...dataWithoutEndFlag } = packetData
const wfParseText = trimSpacesOnly(originalAnswer)
const packetControl = parseWorkflowControlForStream(
wfParseText,
streamParseOptions,
dataWithoutEndFlag.question,
)
filteredAnswer = resolveDisplayAnswerText(filteredAnswer, streamParseOptions, dataWithoutEndFlag.question)
const syncSessionId = resolveWorkFlowSessionId(
{ ...prevRef, ...dataWithoutEndFlag },
prevRef?.workFlowSessionId,
)
// 同步写入 ref：流 fetch resolve 时 React 可能尚未执行 setAllItems，避免读不到控制 JSON
if (answerChunk || packetEnd || packetControl) {
lastStreamedAiAnswerRef.current = {
...(prevRef || {}),
...dataWithoutEndFlag,
workFlowSessionId: syncSessionId,
recordId: dataWithoutEndFlag.recordId ?? prevRef?.recordId,
cardList: Array.isArray(dataWithoutEndFlag.cardList) && dataWithoutEndFlag.cardList.length > 0
? dataWithoutEndFlag.cardList
: prevRef?.cardList,
answer: filteredAnswer,
workflowParseText: wfParseText,
workflowAnswerChunk: answerChunk,
workflowPacketEnd: packetEnd || prevRef?.workflowPacketEnd,
...(packetControl ? { workflowDetectedControl: packetControl } : {}),
}
if (packetControl) {
console.log('[Chat WF] 分片识别到控制 JSON', {
recordType: packetControl.recordType,
question: packetControl.question,
packetQuestion: dataWithoutEndFlag.question,
parseTextTail: trimSpacesOnly(originalAnswer).slice(-120),
complete: isWorkflowControlPayloadComplete(packetControl),
displayAnswer: filteredAnswer,
packetEnd,
})
}
}
setAllItems((prevItems) => {
const newItems = [...prevItems] // 创建数组的浅拷贝
const lastIndex = newItems.length - 1
const isEmptyQuestion = !question.trim()
// 提质增效自动欢迎语场景：空问题的流式回答应追加在历史记录之后，避免复用最后一条历史 AI 记录
const shouldAlwaysAppendAi = isAutoSubmitQualityImprovementRef.current && isEmptyQuestion
......@@ -519,75 +593,62 @@ export const Chat: React.FC = () => {
}
}
let lastAiIndex = findLastAiIndex(newItems)
const streamingGroupId = activeStreamingAiGroupIdRef.current
if (streamingGroupId) {
let streamingIndex = newItems.findIndex(
item => item.role === 'ai' && item.groupId === streamingGroupId,
)
if (streamingIndex < 0) {
newItems.push({
role: 'ai',
groupId: streamingGroupId,
answerList: [{ answer: '', isShow: false }],
} as ChatRecord)
streamingIndex = newItems.length - 1
}
lastAiIndex = streamingIndex
}
// 如果是空问题且需要追加新的 AI 记录（历史末尾没有 AI，或提质增效自动欢迎语场景），则添加 AI 回答占位
if (isEmptyQuestion && (lastIndex < 0 || newItems[lastIndex].role !== 'ai' || shouldAlwaysAppendAi)) {
if (isEmptyQuestion && (lastAiIndex < 0 || shouldAlwaysAppendAi)) {
newItems.push({
role: 'ai',
groupId: makeLocalGroupId('ai'),
answerList: [{ answer: '' }],
} as ChatRecord)
lastAiIndex = newItems.length - 1
}
const currentIndex = newItems.length - 1
if (currentIndex >= 0 && newItems[currentIndex].role === 'ai') {
if (lastAiIndex >= 0) {
// 创建最后一项的新对象，合并现有数据和新的 answer
const existingAnswer = newItems[currentIndex].answerList?.[0] || {}
const originalAnswer = (existingAnswer.answer || '') + (msg.content.data.answer ?? '\n')
// 移除所有括号及其内容（但保留 Markdown 链接语法中的 ](...)）
let filteredAnswer = originalAnswer.replace(/\([^)]*\)/g, (match, offset, str) => {
return str[offset - 1] === ']' ? match : ''
})
// 去除 [参考文档《任意内容》 《任意内容》...] 格式的内容
filteredAnswer = filteredAnswer.replace(/\[参考文档(?:《[^》]*》\s*)+\]/g, '')
// 只移除空格和制表符，保留换行符（避免移除末尾的 \n\n）
filteredAnswer = trimSpacesOnly(filteredAnswer)
const packetData = msg.content.data || {}
const answerChunk = typeof packetData.answer === 'string' ? packetData.answer : ''
const packetEnd = isWorkflowPacketEnd(packetData)
const streamParseOptions: WorkflowParseOptions | undefined = (
answerChunk || packetEnd
)
? {
...(answerChunk ? { answerChunk } : {}),
...(packetEnd ? { packetEnd: true } : {}),
}
: undefined
filteredAnswer = resolveDisplayAnswerText(filteredAnswer, streamParseOptions)
// 在流式响应过程中，忽略服务器返回的 endAnswerFlag，避免过早禁用输入框
const { endAnswerFlag: _omitEndAnswerFlag, ...dataWithoutEndFlag } = packetData
const existingAnswer = newItems[lastAiIndex].answerList?.[0] || {}
const mergedFromRef = lastStreamedAiAnswerRef.current
const chunkToolId = dataWithoutEndFlag.toolId != null ? String(dataWithoutEndFlag.toolId).trim() : ''
const chunkRecordType = dataWithoutEndFlag.recordType != null ? String(dataWithoutEndFlag.recordType).trim() : ''
if (chunkToolId && chunkRecordType)
setWorkflowLastToolPair(chunkToolId, chunkRecordType)
const resolvedSessionId = resolveWorkFlowSessionId(
{ ...existingAnswer, ...dataWithoutEndFlag },
existingAnswer.workFlowSessionId,
)
// 保留之前保存的 workFlowSessionId 和 recordId，避免被覆盖
const mergedAnswer: Answer = {
const mergedAnswer: WorkflowStreamAnswer = {
...existingAnswer,
...dataWithoutEndFlag,
workFlowSessionId: resolvedSessionId,
recordId: dataWithoutEndFlag.recordId ?? existingAnswer.recordId,
cardList: Array.isArray(dataWithoutEndFlag.cardList) && dataWithoutEndFlag.cardList.length > 0
? dataWithoutEndFlag.cardList
: existingAnswer.cardList,
...(mergedFromRef || dataWithoutEndFlag),
workFlowSessionId: mergedFromRef?.workFlowSessionId
?? resolveWorkFlowSessionId({ ...existingAnswer, ...dataWithoutEndFlag }, existingAnswer.workFlowSessionId),
recordId: mergedFromRef?.recordId ?? dataWithoutEndFlag.recordId ?? existingAnswer.recordId,
cardList: mergedFromRef?.cardList ?? (
Array.isArray(dataWithoutEndFlag.cardList) && dataWithoutEndFlag.cardList.length > 0
? dataWithoutEndFlag.cardList
: existingAnswer.cardList
),
isShow: false,
answer: filteredAnswer,
answer: mergedFromRef?.answer ?? filteredAnswer,
workflowParseText: mergedFromRef?.workflowParseText ?? trimSpacesOnly(originalAnswer),
workflowDetectedControl: packetControl ?? mergedFromRef?.workflowDetectedControl,
}
newItems[currentIndex] = {
...newItems[currentIndex],
newItems[lastAiIndex] = {
...newItems[lastAiIndex],
question: isEmptyQuestion ? undefined : question,
answerList: [mergedAnswer],
}
lastStreamedAiAnswerRef.current = {
...mergedAnswer,
workflowParseText: trimSpacesOnly(originalAnswer),
workflowAnswerChunk: answerChunk,
workflowPacketEnd: packetEnd || lastStreamedAiAnswerRef.current?.workflowPacketEnd,
}
}
return newItems
})
......@@ -729,17 +790,20 @@ export const Chat: React.FC = () => {
workflowSilentAppendAiRef.current = isWorkflowSilentSubmit
lastStreamedAiAnswerRef.current = null
activeStreamingAiGroupIdRef.current = null
const isNew = allItems.length <= 1
dispatch(setIsAsking(true))
// 工作流静默续跑：单独追加 AI 占位，避免覆盖上一条（含 JSON 控制指令）的回答
if (isWorkflowSilentSubmit) {
const silentAiGroupId = makeLocalGroupId('ai')
activeStreamingAiGroupIdRef.current = silentAiGroupId
setAllItems(prevItems => [
...prevItems,
{
role: 'ai',
groupId: makeLocalGroupId('ai'),
groupId: silentAiGroupId,
answerList: [{ answer: '', isShow: false }],
} as ChatRecord,
])
......@@ -748,6 +812,8 @@ export const Chat: React.FC = () => {
// 如果 question 不为空，才添加用户问题和空的 AI 回答（静默提问不展示用户气泡）
if (!isEmptyQuestion) {
const questionText = question.trim()
const aiGroupId = makeLocalGroupId('ai')
activeStreamingAiGroupIdRef.current = aiGroupId
setAllItems(prevItems => [
...prevItems,
{
......@@ -757,7 +823,7 @@ export const Chat: React.FC = () => {
} as ChatRecord,
{
role: 'ai',
groupId: makeLocalGroupId('ai'),
groupId: aiGroupId,
question: questionText,
answerList: [{ answer: '', isShow: false }],
} as ChatRecord,
......@@ -902,7 +968,7 @@ export const Chat: React.FC = () => {
// 正常的stream数据
if (msg?.type === 'DATA' && msg?.content?.code === '00000000') {
console.log('========================流式输出====================', msg)
console.log('========================流式输出1111====================', msg)
console.log('========================流式输出字符串====================', msg.content?.data)
handleStreamMesageData(msg, question)
}
......@@ -933,29 +999,40 @@ export const Chat: React.FC = () => {
setAllItems((prevItems) => {
const newItems = [...prevItems]
const streamed = lastStreamedAiAnswerRef.current
for (let i = newItems.length - 1; i >= 0; i--) {
if (newItems[i].role === 'ai' && newItems[i].answerList?.[0]) {
const base = newItems[i].answerList[0]
const streamingGroupId = activeStreamingAiGroupIdRef.current
let mergeAiIndex = -1
if (streamingGroupId) {
mergeAiIndex = newItems.findIndex(
item => item.role === 'ai' && item.groupId === streamingGroupId,
)
}
if (mergeAiIndex < 0)
mergeAiIndex = findLastAiIndex(newItems)
if (mergeAiIndex >= 0 && newItems[mergeAiIndex].role === 'ai' && newItems[mergeAiIndex].answerList?.[0]) {
const i = mergeAiIndex
const base = newItems[i].answerList![0]
const mergedCardList = streamed?.cardList ?? base.cardList
const hasCards = Array.isArray(mergedCardList) && mergedCardList.length > 0
const rawParseText = streamed?.workflowParseText ?? streamed?.answer ?? base.answer ?? ''
const streamParseOptions = buildWorkflowParseOptions(streamed)
const packetQuestion = (streamed as WorkflowStreamAnswer & { question?: string })?.question
const isHiddenRedirect = isHiddenWorkflowRedirectControl(rawParseText, streamParseOptions)
const displayAnswer = resolveDisplayAnswerText(
(streamed?.answer ?? base.answer) === '' ? '' : (streamed?.answer ?? base.answer),
)
const parsedCtrl = parseWorkflowControlForStream(rawParseText, streamParseOptions, packetQuestion)
const isEnterSub = isWorkflowEnterSubPayload(parsedCtrl)
const displayAnswer = resolveDisplayAnswerText(rawParseText, streamParseOptions, packetQuestion)
const merged: Answer = streamed
? {
...base,
...streamed,
answer: isHiddenRedirect
? ''
: (displayAnswer === '' && !hasCards ? '暂无内容' : displayAnswer),
: (displayAnswer === '' && !hasCards && !isEnterSub ? '暂无内容' : displayAnswer),
workFlowSessionId: resolveWorkFlowSessionId(streamed, resolveWorkFlowSessionId(base)),
recordId: streamed.recordId ?? base.recordId,
recordType: streamed.recordType ?? base.recordType,
cardList: mergedCardList,
endAnswerFlag: true,
workflowParseText: rawParseText,
// 含工作流表单卡片时保持 Parser，便于流式过程中展示表单；其余 cardList 流结束后走 Shower
isShow: isHiddenRedirect || (hasCards && hasWorkflowFormCards(mergedCardList))
? false
......@@ -971,6 +1048,7 @@ export const Chat: React.FC = () => {
workflowParseText: rawParseText,
workflowAnswerChunk: streamed?.workflowAnswerChunk,
workflowPacketEnd: streamed?.workflowPacketEnd,
workflowDetectedControl: parsedCtrl ?? streamed?.workflowDetectedControl,
}
if (isHiddenRedirect && !hasCards) {
newItems.splice(i, 1)
......@@ -978,8 +1056,6 @@ export const Chat: React.FC = () => {
else {
newItems[i] = { ...newItems[i], answerList: [merged] }
}
break
}
}
if (!workflowLastAnswer && streamed) {
workflowLastAnswer = {
......@@ -998,9 +1074,14 @@ export const Chat: React.FC = () => {
pendingWorkflowFormSourceKeyRef.current = null
dispatch(setIsAsking(false))
workflowSilentAppendAiRef.current = false
const wfParseText = streamSnapshotForWf?.workflowParseText ?? ''
const wfParseOpts = buildWorkflowParseOptions(streamSnapshotForWf)
const wfParsedCtrl = tryParseWorkflowControlJson(wfParseText, wfParseOpts)
const wfPacketQuestion = (streamSnapshotForWf as WorkflowStreamAnswer & { question?: string })?.question
const wfRawParseText = trimSpacesOnly(
streamSnapshotForWf?.workflowParseText
?? streamSnapshotForWf?.answer
?? '',
)
const wfParsedCtrl = parseWorkflowControlForStream(wfRawParseText, wfParseOpts, wfPacketQuestion)
const wfCtxRecordType = wfParsedCtrl?.recordType != null
? String(wfParsedCtrl.recordType).trim()
: (streamSnapshotForWf?.recordType != null ? String(streamSnapshotForWf.recordType).trim() : '')
......@@ -1012,15 +1093,34 @@ export const Chat: React.FC = () => {
busiType: streamSnapshotForWf?.busiType != null ? String(streamSnapshotForWf.busiType).trim() : '01',
}
}
if (workflowLastAnswer) {
queueMicrotask(() => {
processBusinessInsightWorkflowAfterStream(workflowLastAnswer!)
lastStreamedAiAnswerRef.current = null
const wfAnswerForFollowUp: WorkflowStreamAnswer | null = workflowLastAnswer
?? (streamSnapshotForWf
? {
...streamSnapshotForWf,
endAnswerFlag: true,
workflowDetectedControl: wfParsedCtrl ?? streamSnapshotForWf.workflowDetectedControl,
}
: null)
if (wfAnswerForFollowUp) {
console.log('[Chat WF] 流结束准备续问', {
parsed: wfParsedCtrl,
complete: isWorkflowControlPayloadComplete(wfParsedCtrl),
willEnterSub: isWorkflowEnterSubPayload(wfParsedCtrl),
packetQuestion: wfPacketQuestion,
wfRawParseText: wfRawParseText.slice(0, 120),
hasRef: Boolean(streamSnapshotForWf),
displayAnswer: wfAnswerForFollowUp.answer,
})
processBusinessInsightWorkflowAfterStream(wfAnswerForFollowUp)
}
else {
lastStreamedAiAnswerRef.current = null
console.warn('[Chat WF] 流结束未续问：无 workflow 快照', {
parsed: wfParsedCtrl,
hasRef: Boolean(streamSnapshotForWf),
})
}
lastStreamedAiAnswerRef.current = null
activeStreamingAiGroupIdRef.current = null
if (isNew) {
setTimeout(() => {
dispatch(fetchConversations())
......@@ -1058,6 +1158,7 @@ export const Chat: React.FC = () => {
workflowSilentAppendAiRef.current = false
pendingWorkflowFormSourceKeyRef.current = null
lastStreamedAiAnswerRef.current = null
activeStreamingAiGroupIdRef.current = null
})
}
......@@ -1446,11 +1547,6 @@ export const Chat: React.FC = () => {
const canSend = historyLoadedRef.current.conversationId === currentIdRef.current || allItems.length <= 1
if (canSend) {
const questionToSend = shouldSendQuestion
console.log('[Chat] auto send triggered (shouldSendQuestion):', {
conversationId: currentIdRef.current,
question: questionToSend,
currentToolId,
})
lastSentQuestionRef.current = questionToSend
pendingQuestionRef.current = null
// 立即清除shouldSendQuestion，防止重复发送
......
src/pages/Chat/components/ChatItem/ChatAnswerParser.tsx
......@@ -43,7 +43,8 @@ function CheckIcon({ ...props }) {
}
export const ChatAnswerParser: React.FC<ChatAnswerParserProps> = ({ isLastAnswer, onTyping, onComplate, answer, isStopTyping, onSubmitQuestion, hideOperate, onWorkflowSubmit, isWorkflowSubmitting, isAsking = false }) => {
const displayAnswerText = resolveDisplayAnswerText(answer.answer || '')
const answerSourceText = (answer as { workflowParseText?: string }).workflowParseText ?? answer.answer ?? ''
const displayAnswerText = resolveDisplayAnswerText(answerSourceText)
const formatAnswer = formatMarkdown(displayAnswerText)
const hasCards = Array.isArray(answer.cardList) && answer.cardList.length > 0
const [displayedText, setDisplayedText] = useState('')
......@@ -123,6 +124,14 @@ export const ChatAnswerParser: React.FC<ChatAnswerParserProps> = ({ isLastAnswer
}
useEffect(() => {
if (answer.endAnswerFlag) {
setDisplayedText(formatAnswer)
setCurrentIndex(formatAnswer.length)
setIsTyping(false)
}
}, [answer.endAnswerFlag, formatAnswer])
useEffect(() => {
if (isStopTyping) {
return
}
......
src/pages/Chat/components/ChatItem/ChatAnswerShower.tsx
......@@ -20,7 +20,8 @@ interface ChatAnswerShowerProps {
export const ChatAnswerShower: React.FC<ChatAnswerShowerProps> = ({ answer, isLastAnswer, onSubmitQuestion, hideOperate: hideOperateProp, onWorkflowSubmit, isWorkflowSubmitting, isAsking = false }) => {
const hideOperateByCard = (answer.cardList || []).some(attachment => attachment.type === 'box' || attachment?.type?.includes('card-'))
const hideOperate = hideOperateByCard || hideOperateProp
const displayAnswerText = resolveDisplayAnswerText(answer.answer || '')
const answerSourceText = (answer as { workflowParseText?: string }).workflowParseText ?? answer.answer ?? ''
const displayAnswerText = resolveDisplayAnswerText(answerSourceText)
const hasCards = Array.isArray(answer.cardList) && answer.cardList.length > 0
// 历史首包静默记录隐藏卡片；流式/含工作流表单卡片需正常展示
const shouldRenderCards = hasCards && !(
......
src/pages/Chat/helper.ts
import { trimSpacesOnly } from './components/ChatItem/markdownFormatter'
import { isWorkflowFormAttachment } from './lib/workflowCardForm'
import type { Answer, Attachment, ChatRecord, OriginalRecord } from '@/types/chat'
......@@ -150,21 +151,38 @@ function parseJsonLevel1(text: string): WorkflowControlPayload | null {
return null
}
function extractQuestionByRegex(text: string): string | undefined {
const quoted = text.match(/"question"\s*:\s*"((?:\\.|[^"\\])*)"/)
if (quoted?.[1]) {
const value = unescapeJsonStringValue(quoted[1]).trim()
if (value)
return value
}
// 兼容非法 JSON：question 未加引号，如 "question":客群洞察
const unquoted = text.match(/"question"\s*:\s*([^,}\]]+)/)
if (unquoted?.[1]) {
const value = unquoted[1].trim().replace(/^["']|["']$/g, '')
if (value)
return value
}
return undefined
}
/** L3：正则提取 recordType / question / end / showFlag */
function extractByRegex(text: string): WorkflowControlPayload | null {
const recordTypeMatch = text.match(/"recordType"\s*:\s*"((?:\\.|[^"\\])*)"/)
const questionMatch = text.match(/"question"\s*:\s*"((?:\\.|[^"\\])*)"/)
const questionFromRegex = extractQuestionByRegex(text)
const endMatch = text.match(/"end"\s*:\s*(true|false|"true"|"false")/i)
const showFlagMatch = text.match(/"showFlag"\s*:\s*(false|true|"false"|"true"|0|1)/i)
if (!recordTypeMatch && !questionMatch && !endMatch)
if (!recordTypeMatch && !questionFromRegex && !endMatch)
return null
const payload: WorkflowControlPayload = {}
if (recordTypeMatch?.[1])
payload.recordType = unescapeJsonStringValue(recordTypeMatch[1]).trim()
if (questionMatch?.[1])
payload.question = unescapeJsonStringValue(questionMatch[1])
if (questionFromRegex)
payload.question = questionFromRegex
if (endMatch?.[1])
payload.end = isWorkflowControlEnd(endMatch[1].replace(/"/g, ''))
if (showFlagMatch?.[1]) {
......@@ -174,6 +192,28 @@ function extractByRegex(text: string): WorkflowControlPayload | null {
return payload
}
/** 合并多段解析结果，优先保留更完整的 recordType / question */
function mergeWorkflowControlPayload(
...parts: Array<WorkflowControlPayload | null | undefined>
): WorkflowControlPayload | null {
const merged: WorkflowControlPayload = {}
for (const part of parts) {
if (!part)
continue
if (part.recordType != null && String(part.recordType).trim())
merged.recordType = String(part.recordType).trim()
if (part.question != null && String(part.question).trim())
merged.question = part.question
if (part.end === true)
merged.end = true
if (part.showFlag !== undefined && part.showFlag !== null)
merged.showFlag = part.showFlag
}
if (!merged.recordType && merged.question == null && merged.end !== true && merged.showFlag == null)
return null
return merged
}
function mergePacketEnd(
payload: WorkflowControlPayload | null,
options?: WorkflowParseOptions,
......@@ -187,19 +227,22 @@ function mergePacketEnd(
function parseWorkflowControlFromText(text: string): WorkflowControlPayload | null {
const candidates = collectParseCandidates(text)
for (let i = candidates.length - 1; i >= 0; i--) {
const candidate = candidates[i]
const level1 = parseJsonLevel1(candidate)
if (level1)
return level1
const level2 = parseJsonLevel1(normalizeEscaped(candidate))
if (level2)
return level2
const level3 = extractByRegex(candidate)
if (level3)
return level3
let best: WorkflowControlPayload | null = null
for (const candidate of candidates) {
const merged = mergeWorkflowControlPayload(
parseJsonLevel1(candidate),
parseJsonLevel1(normalizeEscaped(candidate)),
extractByRegex(candidate),
)
if (!merged)
continue
if (isWorkflowEnterSubPayload(merged) || isHiddenWorkflowRedirectPayload(merged))
return merged
best = mergeWorkflowControlPayload(best, merged)
}
return null
return mergeWorkflowControlPayload(best, extractByRegex(text))
}
/** 兼容 API 返回 workFlowSessionId / workflowSessionId 等字段名 */
......@@ -254,29 +297,222 @@ export function tryParseWorkflowControlJson(text: string, options?: WorkflowPars
return null
}
/** 是否包含工作流表单卡片（card-workflow + form_input，且含 text/select/file 字段） */
export function hasWorkflowFormCards(cardList?: Attachment[]): boolean {
return Array.isArray(cardList) && cardList.some(isWorkflowFormAttachment)
/** 流式分片 answer 可能是 string / 双层 JSON 字符串 / 对象 */
export function normalizeStreamAnswerChunk(raw: unknown): string {
if (raw == null)
return ''
if (typeof raw === 'string')
return raw
if (typeof raw === 'object') {
try {
return JSON.stringify(raw)
}
catch {
return ''
}
}
return String(raw)
}
/** 是否为「进入子工作流」类控制 JSON（解析后含 recordType + question，且非 showFlag 隐藏路由） */
export function isEnterSubWorkflowControlAnswer(text: string, options?: WorkflowParseOptions): boolean {
const parsed = tryParseWorkflowControlJson(text, options)
if (isHiddenWorkflowRedirectPayload(parsed))
/** 是否为「进入子工作流」控制载荷（含 recordType + question，且非隐藏路由） */
export function isWorkflowEnterSubPayload(parsed: WorkflowControlPayload | null | undefined): boolean {
if (!parsed || isHiddenWorkflowRedirectPayload(parsed))
return false
return Boolean(
parsed?.recordType != null
parsed.recordType != null
&& String(parsed.recordType).trim()
&& parsed.question != null,
)
}
/**
* 从流式 AI 回答解析工作流控制 JSON：
* 优先 workflowParseText（原始累积文本），再 answer；解析失败时不用外层 recordType 误代替 answer 内 JSON。
*/
export function resolveWorkflowControlFromStreamAnswer(
snapshot: {
workflowParseText?: string
answer?: string
},
options?: WorkflowParseOptions,
): WorkflowControlPayload | null {
const parseText = trimSpacesOnly(
snapshot.workflowParseText ?? snapshot.answer ?? '',
)
const parsedFromText = parseText
? tryParseWorkflowControlJson(parseText, options)
: null
if (parsedFromText)
return parsedFromText
if (options?.answerChunk?.trim()) {
const chunkText = trimSpacesOnly(normalizeStreamAnswerChunk(options.answerChunk))
if (chunkText)
return tryParseWorkflowControlJson(chunkText, options)
}
return null
}
export function resolveWorkflowControlFromPacketAnswer(
rawAnswer: unknown,
options?: WorkflowParseOptions,
): WorkflowControlPayload | null {
const chunk = normalizeStreamAnswerChunk(rawAnswer)
if (!chunk.trim())
return null
return tryParseWorkflowControlJson(chunk, options)
}
/** 外层 data.question 或累积 answer 文本中的 question 字段，补全控制 JSON */
export function enrichWorkflowControlWithPacketQuestion(
parsed: WorkflowControlPayload | null | undefined,
packetQuestion?: unknown,
parseText?: string,
): WorkflowControlPayload | null {
if (!parsed)
return null
const fromParsed = parsed.question != null ? String(parsed.question).trim() : ''
if (fromParsed)
return parsed
const fromPacket = packetQuestion != null ? String(packetQuestion).trim() : ''
if (fromPacket)
return { ...parsed, question: fromPacket }
const text = parseText?.trim() ?? ''
if (text) {
const fromText = extractQuestionByRegex(text)
if (fromText)
return { ...parsed, question: fromText }
}
return parsed
}
export function isWorkflowControlPayloadComplete(parsed: WorkflowControlPayload | null | undefined): boolean {
if (!parsed)
return false
if (isHiddenWorkflowRedirectPayload(parsed))
return true
return isWorkflowEnterSubPayload(parsed)
}
/**
* 流式 answer 是否为「进子工作流」控制 JSON：
* {"recordType":"A25","question":"客群洞察"}（可选 end / showFlag）
*/
export function isStreamEnterSubWorkflowControlText(
text: string,
options?: WorkflowParseOptions,
packetQuestion?: unknown,
): boolean {
return isWorkflowEnterSubPayload(parseWorkflowControlForStream(text, options, packetQuestion))
}
/**
* 从累积原始文本解析工作流控制 JSON（推荐唯一入口）
* 合并全文/分片 JSON.parse、正则字段、packet.question，且需满足 complete 才返回
*/
export function parseWorkflowControlForStream(
parseText: string,
options?: WorkflowParseOptions,
packetQuestion?: unknown,
): WorkflowControlPayload | null {
const text = trimSpacesOnly(parseText)
if (!text)
return null
const fromText = mergePacketEnd(parseWorkflowControlFromText(text), options)
const fromChunk = options?.answerChunk?.trim()
? mergePacketEnd(parseWorkflowControlFromText(options.answerChunk), options)
: null
const merged = enrichWorkflowControlWithPacketQuestion(
mergeWorkflowControlPayload(fromText, fromChunk, extractByRegex(text)),
packetQuestion,
text,
)
if (merged && isWorkflowControlPayloadComplete(merged))
return merged
return null
}
/**
* 流式快照解析：只信 workflowParseText（原始累积），不用 answer / 历史缓存
*/
export function resolveWorkflowControlFromStreamSnapshot(
snapshot: {
workflowParseText?: string
answer?: string
workflowAnswerChunk?: string
workflowDetectedControl?: WorkflowControlPayload | null
},
options?: WorkflowParseOptions,
packetQuestion?: unknown,
): WorkflowControlPayload | null {
const parseText = trimSpacesOnly(snapshot.workflowParseText ?? '')
if (parseText) {
const parsed = parseWorkflowControlForStream(parseText, options, packetQuestion)
if (parsed)
return parsed
}
const chunkText = trimSpacesOnly(snapshot.workflowAnswerChunk ?? snapshot.answer ?? '')
if (chunkText && chunkText !== parseText) {
const fromChunk = parseWorkflowControlForStream(chunkText, options, packetQuestion)
if (fromChunk)
return fromChunk
}
return null
}
/** 是否包含工作流表单卡片（card-workflow + form_input，且含 text/select/file 字段） */
export function hasWorkflowFormCards(cardList?: Attachment[]): boolean {
return Array.isArray(cardList) && cardList.some(isWorkflowFormAttachment)
}
/** 是否为「进入子工作流」类控制 JSON（解析后含 recordType + question，且非 showFlag 隐藏路由） */
export function isEnterSubWorkflowControlAnswer(text: string, options?: WorkflowParseOptions): boolean {
return isWorkflowEnterSubPayload(resolveWorkflowControlFromStreamAnswer(
{ workflowParseText: text, answer: text },
options,
))
}
/** 从混合正文中移除已识别的工作流控制 JSON，保留其余展示内容 */
export function stripWorkflowControlJsonFromText(text: string, options?: WorkflowParseOptions): string {
const trimmed = text.trim()
if (!trimmed)
return ''
let result = text
for (const segment of splitTopLevelJsonObjects(trimmed)) {
const parsed = parseJsonLevel1(segment)
|| parseJsonLevel1(normalizeEscaped(segment))
|| extractByRegex(segment)
const merged = mergePacketEnd(parsed, options)
if (!merged)
continue
if (isHiddenWorkflowRedirectPayload(merged) || isWorkflowEnterSubPayload(merged))
result = result.split(segment).join('')
}
return trimSpacesOnly(result)
}
/** 工作流控制 JSON 不在气泡中展示正文，仅保留卡片等内容 */
export function resolveDisplayAnswerText(text: string, options?: WorkflowParseOptions): string {
export function resolveDisplayAnswerText(
text: string,
options?: WorkflowParseOptions,
packetQuestion?: unknown,
): string {
if (!text?.trim())
return text || ''
if (isHiddenWorkflowRedirectControl(text, options) || isEnterSubWorkflowControlAnswer(text, options))
const parsed = parseWorkflowControlForStream(text, options, packetQuestion)
if (isHiddenWorkflowRedirectPayload(parsed))
return ''
if (isWorkflowEnterSubPayload(parsed))
return stripWorkflowControlJsonFromText(text, options)
return text
}
......
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