import type { AgentReview, SubReview, AgentName, PDFPage } from '../types'; import { IPublicClientApplication } from '@azure/msal-browser'; import { getAccessToken } from './authService'; // WebSocket URL for backend communication const WS_URL = import.meta.env.VITE_BACKEND_WS_URL || 'ws://localhost:8000/ws/analyze'; const HTTP_URL = import.meta.env.VITE_BACKEND_URL || 'http://localhost:8000'; /** * Options for proof analysis with optional database persistence. */ export interface AnalyzeProofOptions { campaignId?: string; proofName?: string; channel?: string; subChannel?: string; proofType?: string; /** Brand to use for brand guidelines analysis: 'Barclays' or 'Barclaycard' */ brand?: string; } /** * Result of proof analysis, including optional database IDs if persisted. */ export interface AnalyzeProofResult { review: AgentReview; proofId?: string; versionId?: string; pdfPages?: PDFPage[]; isIdenticalFile?: boolean; } /** * Analyze a proof using the backend WebSocket API. * Provides real-time updates as each agent completes. * Now requires MSAL instance to acquire access token. * Optionally pass campaign info to persist results to database. */ export const analyzeProof = async ( file: File, onAgentUpdate: (name: AgentName | 'Summary', review?: SubReview) => void, msalInstance: IPublicClientApplication, options?: AnalyzeProofOptions, onNotification?: (message: string) => void, ): Promise => { // Acquire token before connecting const accessToken = await getAccessToken(msalInstance); if (!accessToken) { throw new Error('Failed to acquire access token. Please sign in again.'); } return new Promise((resolve, reject) => { const ws = new WebSocket(WS_URL); let resolved = false; ws.onopen = () => { // Convert file to base64 and send const reader = new FileReader(); reader.onloadend = () => { const base64Data = (reader.result as string).split(',')[1]; const message: Record = { type: 'analyze', file_data: base64Data, file_type: file.type, is_wip: false, access_token: accessToken }; // Include campaign info for database persistence if provided if (options?.campaignId) { message.campaign_id = options.campaignId; } if (options?.proofName) { message.proof_name = options.proofName; } if (options?.channel) { message.channel = options.channel; } if (options?.subChannel) { message.sub_channel = options.subChannel; } if (options?.proofType) { message.proof_type = options.proofType; } if (options?.brand) { message.brand = options.brand; } ws.send(JSON.stringify(message)); }; reader.onerror = () => { ws.close(); reject(new Error('Failed to read file')); }; reader.readAsDataURL(file); }; ws.onmessage = (event) => { try { const message = JSON.parse(event.data); switch (message.type) { case 'agent_started': // Agent is starting - can optionally show loading state break; case 'agent_completed': // Agent completed - update UI onAgentUpdate(message.agent_name as AgentName, message.review); break; case 'summary': // Summary ready onAgentUpdate('Summary'); break; case 'complete': // Analysis complete - resolve with full result resolved = true; ws.close(); resolve({ review: message.result as AgentReview, proofId: message.proof_id, versionId: message.version_id, pdfPages: message.pdf_pages as PDFPage[] | undefined, isIdenticalFile: message.is_identical_file as boolean | undefined, }); break; case 'model_fallback': onNotification?.('The primary AI model is currently unavailable. Analysis is continuing with the backup model and may take longer than usual.'); break; case 'error': // Error occurred resolved = true; ws.close(); reject(new Error(message.message || 'Analysis failed')); break; } } catch (e) { console.error('Failed to parse WebSocket message:', e); } }; ws.onerror = () => { if (!resolved) { resolved = true; reject(new Error('WebSocket connection error. Is the backend running?')); } }; ws.onclose = (event) => { if (!resolved && !event.wasClean) { resolved = true; reject(new Error('WebSocket connection closed unexpectedly')); } }; }); }; /** * Analyze a work-in-progress proof. * Returns a conversational summary for the creative team. */ export const analyzeWIPProof = async ( file: File, onAgentUpdate: (name: AgentName | 'Summary', review?: SubReview) => void, msalInstance: IPublicClientApplication ): Promise => { // Acquire token before connecting const accessToken = await getAccessToken(msalInstance); if (!accessToken) { throw new Error('Failed to acquire access token. Please sign in again.'); } return new Promise((resolve, reject) => { const ws = new WebSocket(WS_URL); let resolved = false; ws.onopen = () => { const reader = new FileReader(); reader.onloadend = () => { const base64Data = (reader.result as string).split(',')[1]; ws.send(JSON.stringify({ type: 'analyze', file_data: base64Data, file_type: file.type, is_wip: true, access_token: accessToken })); }; reader.onerror = () => { ws.close(); reject(new Error('Failed to read file')); }; reader.readAsDataURL(file); }; ws.onmessage = (event) => { try { const message = JSON.parse(event.data); if (message.type === 'agent_completed') { onAgentUpdate(message.agent_name as AgentName, message.review); } else if (message.type === 'summary') { onAgentUpdate('Summary'); } else if (message.type === 'complete') { resolved = true; ws.close(); resolve(message.result?.leadAgentSummary || 'Analysis complete.'); } else if (message.type === 'error') { resolved = true; ws.close(); reject(new Error(message.message || 'Analysis failed')); } } catch (e) { console.error('Failed to parse WebSocket message:', e); } }; ws.onerror = () => { if (!resolved) { resolved = true; reject(new Error('WebSocket connection error')); } }; ws.onclose = (event) => { if (!resolved && !event.wasClean) { resolved = true; reject(new Error('Connection closed unexpectedly')); } }; }); }; /** * Get a chat response from the WIP Lead Agent. * Uses HTTP REST endpoint (not WebSocket). */ export const getWIPChatResponse = async (prompt: string): Promise => { try { const response = await fetch(`${HTTP_URL}/api/chat`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ prompt }) }); if (!response.ok) { throw new Error(`HTTP ${response.status}: ${response.statusText}`); } const data = await response.json(); return data.response || data.message || 'No response from Lead Agent.'; } catch (error) { console.error('Error getting WIP chat response:', error); // Fallback message when backend chat endpoint is not available return "I'm sorry, the chat feature requires the backend chat endpoint to be implemented. For now, please use the proof analysis feature."; } };