189 lines
7.1 KiB
JavaScript
189 lines
7.1 KiB
JavaScript
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const DEFAULT_SESSION_TYPE_EXPENSE = 'expense'
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const DEFAULT_SESSION_TYPE_KNOWLEDGE = 'knowledge'
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const DEFAULT_INTENT_LABELS = {
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query: '查询',
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explain: '解释',
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compare: '对比',
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risk_check: '风险检查',
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draft: '草稿生成',
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operate: '动作请求'
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}
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const DEFAULT_SCENARIO_LABELS = {
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expense: '报销',
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accounts_receivable: '应收',
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accounts_payable: '应付',
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knowledge: '知识',
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unknown: '通用'
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}
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const DEFAULT_EXPENSE_TYPE_LABELS = {
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travel: '差旅费',
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hotel: '住宿费',
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transport: '交通费',
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meal: '餐费',
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meeting: '会务费',
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entertainment: '业务招待费',
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office: '办公费',
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training: '培训费',
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communication: '通讯费',
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welfare: '福利费',
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other: '其他费用'
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}
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export const TRANSPORT_KEYWORD_PATTERN = /交通|出行|打车|网约车|出租车|滴滴|车费|乘车|用车|叫车|约车|的士|车票|车资|地铁|公交|停车|过路费|通行费/
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const FLOW_INTENT_KEYWORDS = {
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draft: ['报销', '报账', '草稿', '生成', '提交', '申请', '请走报销'],
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query: ['查询', '查一下', '多少', '明细', '统计'],
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risk_check: ['风险', '异常', '重复', '超标'],
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explain: ['为什么', '依据', '规则', '怎么']
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}
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function normalizeCompactText(value) {
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return String(value || '').trim().replace(/\s+/g, '')
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}
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function resolveExpenseTypeLabel(type, fallbackLabel = '', expenseTypeLabels = DEFAULT_EXPENSE_TYPE_LABELS) {
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const normalized = String(type || '').trim()
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return expenseTypeLabels[normalized] || String(fallbackLabel || '').trim() || expenseTypeLabels.other
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}
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function resolveSemanticExpenseTypeLabel(semanticParse, expenseTypeLabels = DEFAULT_EXPENSE_TYPE_LABELS) {
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const entities = Array.isArray(semanticParse?.entities_json) ? semanticParse.entities_json : []
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const expenseTypeEntity = entities.find((item) => String(item?.type || '').trim() === 'expense_type')
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if (expenseTypeEntity) {
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return resolveExpenseTypeLabel(
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String(expenseTypeEntity.normalized_value || '').trim(),
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String(expenseTypeEntity.value || '').trim(),
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expenseTypeLabels
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)
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}
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return resolveExpenseTypeLabel(
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String(semanticParse?.expense_type || semanticParse?.expense_type_code || '').trim(),
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String(semanticParse?.expense_type_label || '').trim(),
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expenseTypeLabels
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)
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}
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export function inferLocalFlowCandidates(rawText) {
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const text = String(rawText || '').trim()
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const compact = normalizeCompactText(text)
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let time = ''
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const explicitTimeMatch = text.match(/发生时间[:：]?\s*([0-9]{4}[-/年][0-9]{1,2}[-/月][0-9]{1,2}日?)/)
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if (explicitTimeMatch?.[1]) {
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time = explicitTimeMatch[1].replace(/年/g, '-').replace(/月/g, '-').replace(/日/g, '').replace(/\//g, '-')
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} else {
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const dateMatch = text.match(/([0-9]{4}[-/年][0-9]{1,2}[-/月][0-9]{1,2}日?)/)
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if (dateMatch?.[1]) {
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time = dateMatch[1].replace(/年/g, '-').replace(/月/g, '-').replace(/日/g, '').replace(/\//g, '-')
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} else if (/今天|今日/.test(compact)) {
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time = '今天'
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} else if (/昨天|昨日/.test(compact)) {
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time = '昨天'
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} else if (/前天/.test(compact)) {
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time = '前天'
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}
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}
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let amount = ''
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const amountMatch = text.match(/([0-9]+(?:\.[0-9]{1,2})?)\s*(?:元|员|圆|园|块|块钱|万元|万)/)
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if (amountMatch?.[1]) {
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const numericValue = Number(amountMatch[1])
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if (Number.isFinite(numericValue)) {
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amount = Number.isInteger(numericValue) ? `${numericValue}元` : `${numericValue.toFixed(2)}元`
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}
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}
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let event = ''
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let expenseType = ''
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if (/客户.*吃饭|请客户.*吃饭|招待|宴请|请客/.test(compact)) {
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event = '请客户吃饭'
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expenseType = '业务招待费'
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} else if (/出差|差旅|机票|高铁|火车|行程/.test(compact)) {
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event = '出差行程'
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expenseType = '差旅费'
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} else if (TRANSPORT_KEYWORD_PATTERN.test(compact)) {
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event = '交通出行'
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expenseType = '交通费'
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} else if (/住宿|酒店|宾馆/.test(compact)) {
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event = '住宿报销'
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expenseType = '住宿费'
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} else if (/餐费|用餐|午餐|晚餐|早餐|餐饮/.test(compact)) {
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event = '餐饮用餐'
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expenseType = '餐费'
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}
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return {
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time,
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amount,
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event,
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expenseType
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}
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}
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export function buildLocalIntentPreview(rawText, sessionType = DEFAULT_SESSION_TYPE_EXPENSE, options = {}) {
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if (sessionType === DEFAULT_SESSION_TYPE_KNOWLEDGE) {
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return '初步识别为财务知识问答，正在准备检索范围'
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}
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const compact = normalizeCompactText(rawText)
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const intentLabels = options.intentLabels || DEFAULT_INTENT_LABELS
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const intentKey = Object.entries(FLOW_INTENT_KEYWORDS).find(([, keywords]) =>
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keywords.some((keyword) => compact.includes(keyword))
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)?.[0] || 'draft'
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const intentLabel = intentLabels[intentKey] || DEFAULT_INTENT_LABELS[intentKey] || '处理'
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const candidates = inferLocalFlowCandidates(rawText)
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const expenseTypeText = candidates.expenseType ? `，费用类型为${candidates.expenseType}` : ''
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return `初步识别为报销场景，准备进入${intentLabel}${expenseTypeText}`
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}
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export function buildLocalExtractionProgressMessages(rawText, options = {}) {
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const candidates = inferLocalFlowCandidates(rawText)
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const messages = []
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messages.push('正在提取发生时间...')
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messages.push(
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candidates.time
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? `发现发生时间 ${candidates.time}，继续提取金额...`
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: '暂未定位到明确时间，继续提取金额...'
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)
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messages.push(
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candidates.amount
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? `发现金额 ${candidates.amount}，继续识别事件类型...`
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: '暂未定位到明确金额，继续识别事件类型...'
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)
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if (candidates.event || candidates.expenseType) {
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const eventParts = [candidates.event, candidates.expenseType].filter(Boolean)
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messages.push(`识别到${eventParts.join(' / ')}，继续判断待补项...`)
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} else {
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messages.push('正在识别事件类型和费用分类...')
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}
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const attachmentHint = Number(options.attachmentCount || 0) > 0 ? '附件完整性' : '票据附件'
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messages.push(`正在判断待补项：客户名称、参与人员、${attachmentHint}`)
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return messages
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}
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export function summarizeSemanticIntentDetail(semanticParse, options = {}) {
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if (!semanticParse || typeof semanticParse !== 'object') {
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return options.fallbackText || '意图识别完成'
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}
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const scenarioLabels = options.scenarioLabels || DEFAULT_SCENARIO_LABELS
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const intentLabels = options.intentLabels || DEFAULT_INTENT_LABELS
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const expenseTypeLabels = options.expenseTypeLabels || DEFAULT_EXPENSE_TYPE_LABELS
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const scenarioLabel = scenarioLabels[String(semanticParse.scenario || '').trim()] || String(semanticParse.scenario || '').trim() || '通用'
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const intentLabel = intentLabels[String(semanticParse.intent || '').trim()] || String(semanticParse.intent || '').trim() || '处理'
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const expenseTypeLabel = resolveSemanticExpenseTypeLabel(semanticParse, expenseTypeLabels)
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const expenseTypeText = expenseTypeLabel && expenseTypeLabel !== expenseTypeLabels.other
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? `，费用类型为${expenseTypeLabel}`
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: ''
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return `已识别为${scenarioLabel}场景，当前目标是${intentLabel}${expenseTypeText}`
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}
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