const fs = require('fs');
const content = fs.readFileSync('temp/rich-outline-fail_57_1779015509994.txt', 'utf-8');
const marker = '========== AI 原始响应 ';
const markerIdx = content.indexOf(marker);
const headerEndIdx = content.indexOf(' ==========', markerIdx);
const aiStart = content.indexOf('\n', headerEndIdx) + 1;
const aiEnd = content.indexOf('\n\n', aiStart);
const aiResponse = content.substring(aiStart, aiEnd);

// The issue: we have more opens than closes, meaning JSON is truncated
// But the actual character at position 1624 looks correct: {"number":3

// Let me check if maybe there's a truncation recovery strategy that could work
// We need to find where the valid JSON ends and try to make sense of it

// Let me check if the response actually contains a valid prefix we can use
// by scanning for valid property structures

// First, let's see if there's any position where we have a COMPLETELY valid prefix
let validUpTo = 0;
for (let i = 1; i <= aiResponse.length; i++) {
  try {
    const sub = aiResponse.substring(0, i);
    JSON.parse(sub);
    validUpTo = i;
  } catch(e) {
    // continue
  }
}
console.log('Longest valid prefix length:', validUpTo);
console.log('Valid prefix ends with:', JSON.stringify(aiResponse.substring(validUpTo - 30, validUpTo)));
console.log('Valid prefix length vs total:', validUpTo, '/', aiResponse.length, '=', Math.round(validUpTo/aiResponse.length*100) + '%');

// If we have a long enough valid prefix, we might be able to extract chapters from it
if (validUpTo > 1000) {
  console.log('\n=== Valid prefix analysis ===');
  const prefix = aiResponse.substring(0, validUpTo);
  try {
    const data = JSON.parse(prefix);
    if (data.mainTheme) console.log('mainTheme found:', data.mainTheme.substring(0, 50));
    if (data.chapters) console.log('chapters count in prefix:', data.chapters.length);
  } catch(e) {
    console.log('Parse failed:', e.message);
  }
}

// Now let me try a different approach: count closing braces needed to close the JSON
// and try appending them to see if we can make it parse
console.log('\n=== Trying to complete the truncated JSON ===');
// We have 39 more opens than closes, so we need 39 closing braces
// Let's try to complete the JSON by finding where each unclosed brace should close

// But actually, maybe the better approach is to find where chapters end
// and just try to extract what we can

// Let me try yet another approach: find all complete "chapters": [...] patterns
const chaptersRegex = /"chapters"\s*:\s*\[([\s\S]*?)\]\s*\}/g;
let match;
let foundChapters = [];
while ((match = chaptersRegex.exec(aiResponse)) !== null) {
  const inner = match[1];
  console.log('Found chapters array at position', match.index, 'length', inner.length);
  // Try to parse the chapters array
  try {
    const arr = JSON.parse('[' + inner + ']');
    if (Array.isArray(arr) && arr.length > 0) {
      console.log('  Parsed successfully!', arr.length, 'chapters');
      foundChapters.push(...arr);
    }
  } catch(e) {
    // Try to extract chapter numbers
    const numMatches = inner.match(/"number":(\d+)/g);
    console.log('  Chapter numbers found:', numMatches ? numMatches.length : 0);
  }
}
console.log('\nTotal chapters found in arrays:', foundChapters.length);