rag-v1

import {
  text,
  type Chat,
  type ChatMessage,
  type FileHandle,
  type LLMDynamicHandle,
  type PredictionProcessStatusController,
  type PromptPreprocessorController,
} from "@lmstudio/sdk";
import * as MemoryService from "../memory/MemoryService"; 
import { FactReport } from "./services/FactCheckerService";


/**
 * Processes the user message by intelligently selecting context (full document, retrieval, or none).
 */
export async function preprocess(ctl: PromptPreprocessorController, userMessage: ChatMessage) {
  const originalUserPrompt = userMessage.getText();
  const history = await ctl.pullHistory();
  history.append(userMessage);
  const newFiles = userMessage.getFiles(ctl.client).filter(f => f.type !== "image");
  const files = history.getAllFiles(ctl.client).filter(f.type !== "image");

// --- Step 1: Determine Focus Topic (CoT Start) ---
  let focusTopic = await determineFocusTopic(ctl, originalUserPrompt, history);

// --- Step 2: Select Context Injection Strategy (Token Management) ---
let finalProcessedContent: string | null = null; 

if (newFiles.length > 0 || files.length > 0) {
    const strategy = await chooseContextInjectionStrategy(ctl, originalUserPrompt, newFiles);
}


// --- Step 3: Memory Saving Hook & Fact Report Capture (CoT/Fact Check) ---
if (finalProcessedContent) {
    const engine = new RAGEEngine(ctl.client, ctl.dbConnection);

    try {
        const simulatedContextPayload: CompressedContextPayload = {/*...*/} ; 
        // This single call triggers the entire advanced pipeline: RAG -> Draft -> Fact Check (Tooling) -> Final Answer.
        await engine.executeAgenticFlow(originalUserPrompt, simulatedContextPayload); 

    } catch (e) {
        ctl.debug(`[ERROR] Failed to execute full agentic flow: ${e}`);
    }


    // Save the final state of the process for debugging and auditing.
    const simulatedFactReport: FactReport = {/*...*/}; // Placeholder for actual report data

  MemoryService.saveMemory(focusTopic, `Processed context for "${originalUserPrompt}"`, files); 
  MemoryService.saveReport(focusTopic, simulatedFactReport); 
}
// --- END OF FILE ---

return userMessage;
}

/**
 * Analyzes the current query and history to determine a primary conversational focus.
 */
async function determineFocusTopic(ctl: any, prompt: string, history: Chat): Promise<string> {
    if (prompt.toLowerCase().includes("budget") || prompt.toLowerCase().includes("q3")) {
        return "Q3 Budgeting";
    }
    // ... (Other focus topics) ...
    return "General Topic"; 
}


async function chooseContextInjectionStrategy(ctl: any, originalUserPrompt: string, newFiles: Array<FileHandle>): Promise<string> { 
    // Implementation remains the same.
    return "retrieval"; 
}
export {}