fix(types): resolve TypeScript linting errors for build

Fixed all TypeScript errors preventing build:
- Added TTSAudiobookChapter type import to HTMLContext
- Replaced 'any' types with proper TTSAudiobookChapter type
- Removed unused goToChapter from HTMLViewer destructuring
- Updated AudiobookExportModal to accept 'html' documentType
- Fixed HTMLContext return types to match EPUB/PDF contexts
  - createFullAudioBook now returns Promise<string> (bookId only)
  - regenerateChapter now returns Promise<TTSAudiobookChapter>
- Prefixed/removed unused parameters in placeholder functions

Build now completes successfully with only minor warnings
in placeholder code that will be implemented later.

src/app/api/jobs/route.ts

@@ -132,7 +132,7 @@ async function processJobInBackground(jobId: string) {
     job.currentStep = 'Loading document...';
     jobs.set(jobId, job);
 
-    const { documentId, voice, speed, ttsProvider, ttsModel, ttsInstructions, format } = job.data;
+    const { documentId, voice, speed, ttsProvider, ttsModel, format } = job.data;
 
     // In a real implementation, this would:
     // 1. Load the document from IndexedDB or file system

src/components/AudiobookExportModal.tsx

@@ -20,7 +20,7 @@ import {
 interface AudiobookExportModalProps {
   isOpen: boolean;
   setIsOpen: (isOpen: boolean) => void;
-  documentType: 'epub' | 'pdf';
+  documentType: 'epub' | 'pdf' | 'html';
   documentId: string;
   onGenerateAudiobook: (
     onProgress: (progress: number) => void,

src/components/HTMLViewer.tsx

@@ -19,7 +19,6 @@ export function HTMLViewer({ className = '' }: HTMLViewerProps) {
     totalChapters,
     goToNextChapter,
     goToPreviousChapter,
-    goToChapter,
   } = useHTML();
   const containerRef = useRef<HTMLDivElement>(null);
 

src/contexts/HTMLContext.tsx

@@ -11,6 +11,7 @@ import {
 import { getHtmlDocument } from '@/lib/dexie';
 import { useTTS } from '@/contexts/TTSContext';
 import { detectChapters, type Chapter } from '@/lib/chapterDetection';
+import type { TTSAudiobookChapter } from '@/types/tts';
 
 interface HTMLContextType {
   currDocData: string | undefined;
@@ -31,16 +32,16 @@ interface HTMLContextType {
   createFullAudioBook: (
     onProgress: (progress: number) => void,
     signal: AbortSignal,
-    onChapterComplete: (chapter: any) => void,
+    onChapterComplete: (chapter: TTSAudiobookChapter) => void,
     documentId: string,
     format: 'mp3' | 'm4b'
-  ) => Promise<{ bookId: string; format: string }>;
+  ) => Promise<string>;
   regenerateChapter: (
     chapterIndex: number,
     bookId: string,
     format: 'mp3' | 'm4b',
     signal: AbortSignal
-  ) => Promise<void>;
+  ) => Promise<TTSAudiobookChapter>;
 }
 
 const HTMLContext = createContext<HTMLContextType | undefined>(undefined);
@@ -123,10 +124,10 @@ export function HTMLProvider({ children }: { children: ReactNode }) {
    */
   const createFullAudioBook = useCallback(async (
     onProgress: (progress: number) => void,
-    signal: AbortSignal,
+    _signal: AbortSignal,
-    onChapterComplete: (chapter: any) => void,
+    _onChapterComplete: (chapter: TTSAudiobookChapter) => void,
     documentId: string,
-    format: 'mp3' | 'm4b'
+    _format: 'mp3' | 'm4b'
   ) => {
     // Placeholder - will be implemented with job queue system
     console.log('createFullAudioBook called for HTML document:', documentId);
@@ -134,7 +135,7 @@ export function HTMLProvider({ children }: { children: ReactNode }) {
 
     // TODO: Integrate with background job queue
     // For now, return a placeholder
-    return { bookId: 'placeholder', format };
+    return 'placeholder';
   }, []);
 
   /**
@@ -145,10 +146,17 @@ export function HTMLProvider({ children }: { children: ReactNode }) {
     chapterIndex: number,
     bookId: string,
     format: 'mp3' | 'm4b',
-    signal: AbortSignal
+    _signal: AbortSignal
-  ) => {
+  ): Promise<TTSAudiobookChapter> => {
     // Placeholder
     console.log('regenerateChapter called:', chapterIndex, bookId, format);
+    return {
+      index: chapterIndex,
+      title: `Chapter ${chapterIndex + 1}`,
+      status: 'completed',
+      bookId,
+      format,
+    };
   }, []);
 
   /**

src/lib/chapterDetection.ts

@@ -99,7 +99,7 @@ function splitBySize(text: string, maxChunkSize: number): Chapter[] {
   let currentChunk = '';
   let chunkIndex = 0;
 
-  paragraphs.forEach((paragraph, index) => {
+  paragraphs.forEach((paragraph) => {
     const potentialChunk = currentChunk + (currentChunk ? '\n\n' : '') + paragraph;
 
     if (potentialChunk.length > maxChunkSize && currentChunk.length > 0) {

src/lib/jobProcessor.ts

@@ -100,7 +100,7 @@ export async function processAudiobookJob(
  * Fetch document content from storage
  * This would integrate with your document storage system
  */
-async function fetchDocumentContent(documentId: string, signal: AbortSignal): Promise<string> {
+async function fetchDocumentContent(_documentId: string, _signal: AbortSignal): Promise<string> {
   // In a real implementation, this would:
   // 1. Query the document from IndexedDB or file system
   // 2. Extract text content based on document type (PDF, EPUB, HTML)
@@ -115,7 +115,7 @@ async function fetchDocumentContent(documentId: string, signal: AbortSignal): Pr
  * Process text into sentences
  * Uses the existing NLP sentence splitting logic
  */
-async function processTextToSentences(text: string, signal: AbortSignal): Promise<string[]> {
+async function processTextToSentences(text: string, _signal: AbortSignal): Promise<string[]> {
   // This would use the same logic as the TTS context
   // For now, simple split on sentence boundaries
   const sentences = text