import { AbstractChatProvider, XRequest, type TransformMessage, type XRequestOptions, } from '@ant-design/x-sdk'; import type { AiAttachment, AiChatInput, AiChatMessage, AiSseChunk, AiToolRun, } from './types'; interface AiSsePayload { messageId?: number; userMessageId?: number; assistantMessageId?: number; delta?: string; content?: string; reasoningContent?: string | null; toolCallId?: string; toolName?: string; skillKey?: string | null; status?: string; summary?: string | null; durationMs?: number | null; attachment?: AiAttachment; message?: | string | { id?: number; content?: string; reasoningContent?: string | null; status?: string; toolRuns?: AiToolRun[]; attachments?: AiAttachment[]; replyToMessageId?: number | null; feedback?: 'like' | 'dislike' | null; feedbackReason?: string | null; metadata?: Record | null; }; error?: string; } function emptyAssistant(): AiChatMessage { return { role: 'assistant', content: '', reasoningContent: '', toolRuns: [], attachments: [], }; } export function parseSsePayload(chunk?: AiSseChunk): { event: string; payload: AiSsePayload; } { if (!chunk) return { event: '', payload: {} }; const event = chunk.event?.trim() || 'message'; if (!chunk.data || chunk.data === '[DONE]') return { event, payload: {} }; try { const parsed: unknown = JSON.parse(chunk.data); return { event, payload: parsed && typeof parsed === 'object' ? (parsed as AiSsePayload) : {}, }; } catch { return { event, payload: { delta: chunk.data } }; } } function upsertToolRun( toolRuns: AiToolRun[], payload: AiSsePayload, fallbackStatus: AiToolRun['status'], ): AiToolRun[] { const toolCallId = payload.toolCallId || `${payload.toolName || 'tool'}-${toolRuns.length}`; const next: AiToolRun = { toolCallId, toolName: payload.toolName || '查询工具', skillKey: payload.skillKey, status: (payload.status as AiToolRun['status']) || fallbackStatus, summary: payload.summary, resultSummary: fallbackStatus === 'running' ? undefined : payload.summary, argumentsSummary: fallbackStatus === 'running' ? payload.summary : undefined, durationMs: payload.durationMs, }; const index = toolRuns.findIndex((item) => item.toolCallId === toolCallId); if (index === -1) return [...toolRuns, next]; return toolRuns.map((item, itemIndex) => (itemIndex === index ? { ...item, ...next } : item)); } function normalizeToolRuns(toolRuns: AiToolRun[] | undefined, fallback: AiToolRun[]): AiToolRun[] { if (!toolRuns) return fallback; return toolRuns.map((tool) => ({ ...tool, status: tool.status === 'error' ? 'failed' : tool.status, summary: tool.resultSummary ?? tool.argumentsSummary ?? tool.summary, })); } export function reduceAiSseMessage( originMessage: AiChatMessage | undefined, chunk?: AiSseChunk, ): AiChatMessage { const message = originMessage ? { ...originMessage } : emptyAssistant(); const { event, payload } = parseSsePayload(chunk); if (event === 'message.created') { const nested = typeof payload.message === 'object' ? payload.message : undefined; message.id = nested?.id ?? payload.assistantMessageId ?? payload.messageId ?? message.id; message.content = nested?.content ?? message.content; message.reasoningContent = nested?.reasoningContent ?? message.reasoningContent; message.toolRuns = normalizeToolRuns(nested?.toolRuns, message.toolRuns); message.attachments = nested?.attachments ?? message.attachments; message.replyToMessageId = nested?.replyToMessageId ?? message.replyToMessageId; message.feedback = nested?.feedback ?? message.feedback; message.feedbackReason = nested?.feedbackReason ?? message.feedbackReason; message.metadata = nested?.metadata ?? message.metadata; } else if (event === 'reasoning.delta') { message.reasoningContent += payload.delta ?? payload.reasoningContent ?? ''; } else if (event === 'content.delta') { message.content += payload.delta ?? payload.content ?? ''; } else if (event === 'tool.started') { message.toolRuns = upsertToolRun(message.toolRuns, payload, 'running'); } else if (event === 'tool.completed') { message.toolRuns = upsertToolRun(message.toolRuns, payload, 'success'); } else if (event === 'tool.failed') { message.toolRuns = upsertToolRun(message.toolRuns, payload, 'failed'); } else if (event === 'attachment.processed' && payload.attachment) { if (!message.attachments.some((item) => item.id === payload.attachment?.id)) { message.attachments = [...message.attachments, payload.attachment]; } } else if (event === 'message.completed') { const nested = typeof payload.message === 'object' ? payload.message : undefined; message.id = nested?.id ?? payload.messageId ?? message.id; message.content = nested?.content ?? payload.content ?? message.content; message.reasoningContent = nested?.reasoningContent ?? payload.reasoningContent ?? message.reasoningContent; message.toolRuns = normalizeToolRuns(nested?.toolRuns, message.toolRuns); message.attachments = nested?.attachments ?? message.attachments; message.replyToMessageId = nested?.replyToMessageId ?? message.replyToMessageId; message.feedback = nested?.feedback ?? message.feedback; message.feedbackReason = nested?.feedbackReason ?? message.feedbackReason; message.metadata = nested?.metadata ?? message.metadata; } else if (event === 'message.cancelled') { message.id = payload.messageId ?? message.id; message.cancelled = true; } else if (event === 'error') { message.error = (typeof payload.message === 'string' ? payload.message : undefined) || payload.error || 'AI 回答生成失败'; } return message; } async function authenticatedFetch(input: RequestInfo | URL, init?: RequestInit): Promise { const headers = new Headers(init?.headers); const token = localStorage.getItem('token'); if (token) headers.set('Authorization', `Bearer ${token}`); headers.set('Accept', 'text/event-stream'); let requestInput = input; let requestInit = init; if (typeof init?.body === 'string') { try { const body = JSON.parse(init.body) as AiChatInput; if (body.regenerateMessageId) { requestInput = `${String(input).replace(/\/stream$/, '')}/messages/${body.regenerateMessageId}/regenerate/stream`; requestInit = { ...init, body: JSON.stringify({ clientRequestId: body.clientRequestId }), }; } else { const { localAttachments: _localAttachments, reloadMessage: _reloadMessage, regenerateMessageId: _regenerateMessageId, ...payload } = body; requestInit = { ...init, body: JSON.stringify(payload) }; } } catch { requestInit = init; } } const response = await fetch(requestInput, { ...requestInit, headers }); if (response.status === 401) { localStorage.removeItem('token'); localStorage.removeItem('user'); localStorage.removeItem('permissions'); window.location.href = '/login'; } return response; } export class GongxueAiChatProvider extends AbstractChatProvider< AiChatMessage, AiChatInput, AiSseChunk > { constructor(url: string, onSettled?: () => void) { super({ request: XRequest(url, { manual: true, fetch: authenticatedFetch, timeout: 15_000, streamTimeout: 120_000, callbacks: { onUpdate: () => undefined, onSuccess: () => onSettled?.(), onError: () => onSettled?.(), }, }), }); } transformParams( requestParams: Partial, options: XRequestOptions, ): AiChatInput { return { ...options.params, message: requestParams.message?.trim() || '', attachmentIds: requestParams.attachmentIds ?? [], skillKey: requestParams.skillKey ?? null, clientRequestId: requestParams.clientRequestId || crypto.randomUUID(), localAttachments: requestParams.localAttachments, regenerateMessageId: requestParams.regenerateMessageId, reloadMessage: requestParams.reloadMessage, }; } transformLocalMessage(requestParams: Partial): AiChatMessage { return { role: 'user', content: requestParams.message?.trim() || '', reasoningContent: '', toolRuns: [], attachments: requestParams.localAttachments ?? [], }; } transformMessage(info: TransformMessage): AiChatMessage { return reduceAiSseMessage(info.originMessage, info.chunk); } }