210 lines
6.9 KiB
TypeScript
210 lines
6.9 KiB
TypeScript
#!/usr/bin/env tsx
|
|
/**
|
|
* Transcript to Markdown - Complete 1:1 representation
|
|
* Shows ALL available context data from a Claude Code transcript
|
|
*/
|
|
|
|
import { TranscriptParser } from '../src/utils/transcript-parser.js';
|
|
import type { UserTranscriptEntry, AssistantTranscriptEntry, ToolResultContent } from '../types/transcript.js';
|
|
import { writeFileSync } from 'fs';
|
|
import { basename } from 'path';
|
|
|
|
const transcriptPath = process.argv[2];
|
|
const maxTurns = process.argv[3] ? parseInt(process.argv[3]) : 20;
|
|
|
|
if (!transcriptPath) {
|
|
console.error('Usage: tsx scripts/transcript-to-markdown.ts <path-to-transcript.jsonl> [max-turns]');
|
|
process.exit(1);
|
|
}
|
|
|
|
/**
|
|
* Truncate string to max length, adding ellipsis if needed
|
|
*/
|
|
function truncate(str: string, maxLen: number = 500): string {
|
|
if (str.length <= maxLen) return str;
|
|
return str.substring(0, maxLen) + '\n... [truncated]';
|
|
}
|
|
|
|
/**
|
|
* Format tool result content for display
|
|
*/
|
|
function formatToolResult(result: ToolResultContent): string {
|
|
if (typeof result.content === 'string') {
|
|
// Try to parse as JSON for better formatting
|
|
try {
|
|
const parsed = JSON.parse(result.content);
|
|
return JSON.stringify(parsed, null, 2);
|
|
} catch {
|
|
return truncate(result.content);
|
|
}
|
|
}
|
|
|
|
if (Array.isArray(result.content)) {
|
|
// Handle array of content items - extract text and parse if JSON
|
|
const formatted = result.content.map((item: any) => {
|
|
if (item.type === 'text' && item.text) {
|
|
try {
|
|
const parsed = JSON.parse(item.text);
|
|
return JSON.stringify(parsed, null, 2);
|
|
} catch {
|
|
return item.text;
|
|
}
|
|
}
|
|
return JSON.stringify(item, null, 2);
|
|
}).join('\n\n');
|
|
|
|
return formatted;
|
|
}
|
|
|
|
return '[unknown result type]';
|
|
}
|
|
|
|
const parser = new TranscriptParser(transcriptPath);
|
|
const entries = parser.getAllEntries();
|
|
const stats = parser.getParseStats();
|
|
|
|
let output = `# Transcript: ${basename(transcriptPath)}\n\n`;
|
|
output += `**Generated:** ${new Date().toLocaleString()}\n`;
|
|
output += `**Total Entries:** ${stats.parsedEntries}\n`;
|
|
output += `**Entry Types:** ${JSON.stringify(stats.entriesByType, null, 2)}\n`;
|
|
output += `**Showing:** First ${maxTurns} conversation turns\n\n`;
|
|
|
|
output += `---\n\n`;
|
|
|
|
let turnNumber = 0;
|
|
let inTurn = false;
|
|
|
|
for (const entry of entries) {
|
|
// Skip summary and file-history-snapshot entries
|
|
if (entry.type === 'summary' || entry.type === 'file-history-snapshot') continue;
|
|
|
|
// USER MESSAGE
|
|
if (entry.type === 'user') {
|
|
const userEntry = entry as UserTranscriptEntry;
|
|
|
|
turnNumber++;
|
|
if (turnNumber > maxTurns) break;
|
|
|
|
inTurn = true;
|
|
output += `## Turn ${turnNumber}\n\n`;
|
|
output += `### 👤 User\n`;
|
|
output += `**Timestamp:** ${userEntry.timestamp}\n`;
|
|
output += `**UUID:** ${userEntry.uuid}\n`;
|
|
output += `**Session ID:** ${userEntry.sessionId}\n`;
|
|
output += `**CWD:** ${userEntry.cwd}\n\n`;
|
|
|
|
// Extract user message text
|
|
if (typeof userEntry.message.content === 'string') {
|
|
output += userEntry.message.content + '\n\n';
|
|
} else if (Array.isArray(userEntry.message.content)) {
|
|
const textBlocks = userEntry.message.content.filter((c) => c.type === 'text');
|
|
if (textBlocks.length > 0) {
|
|
const text = textBlocks.map((b: any) => b.text).join('\n');
|
|
output += text + '\n\n';
|
|
}
|
|
|
|
// Show ACTUAL tool results with their data
|
|
const toolResults = userEntry.message.content.filter((c): c is ToolResultContent => c.type === 'tool_result');
|
|
if (toolResults.length > 0) {
|
|
output += `**Tool Results Submitted (${toolResults.length}):**\n\n`;
|
|
for (const result of toolResults) {
|
|
output += `- **Tool Use ID:** \`${result.tool_use_id}\`\n`;
|
|
if (result.is_error) {
|
|
output += ` **ERROR:**\n`;
|
|
}
|
|
output += ` \`\`\`json\n`;
|
|
output += ` ${formatToolResult(result)}\n`;
|
|
output += ` \`\`\`\n\n`;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// ASSISTANT MESSAGE
|
|
if (entry.type === 'assistant' && inTurn) {
|
|
const assistantEntry = entry as AssistantTranscriptEntry;
|
|
|
|
output += `### 🤖 Assistant\n`;
|
|
output += `**Timestamp:** ${assistantEntry.timestamp}\n`;
|
|
output += `**UUID:** ${assistantEntry.uuid}\n`;
|
|
output += `**Model:** ${assistantEntry.message.model}\n`;
|
|
output += `**Stop Reason:** ${assistantEntry.message.stop_reason || 'N/A'}\n\n`;
|
|
|
|
if (!Array.isArray(assistantEntry.message.content)) {
|
|
output += `*[No content]*\n\n`;
|
|
continue;
|
|
}
|
|
|
|
const content = assistantEntry.message.content;
|
|
|
|
// 1. Thinking blocks (show first, as they happen first in reasoning)
|
|
const thinkingBlocks = content.filter((c) => c.type === 'thinking');
|
|
if (thinkingBlocks.length > 0) {
|
|
output += `**💭 Thinking:**\n\n`;
|
|
for (const block of thinkingBlocks) {
|
|
const thinking = (block as any).thinking;
|
|
// Format thinking with proper line breaks and indentation
|
|
const formattedThinking = thinking
|
|
.split('\n')
|
|
.map((line: string) => line.trimEnd())
|
|
.join('\n');
|
|
|
|
output += '> ';
|
|
output += formattedThinking.replace(/\n/g, '\n> ');
|
|
output += '\n\n';
|
|
}
|
|
}
|
|
|
|
// 2. Text responses
|
|
const textBlocks = content.filter((c) => c.type === 'text');
|
|
if (textBlocks.length > 0) {
|
|
output += `**Response:**\n\n`;
|
|
for (const block of textBlocks) {
|
|
output += (block as any).text + '\n\n';
|
|
}
|
|
}
|
|
|
|
// 3. Tool uses - show complete input
|
|
const toolUseBlocks = content.filter((c) => c.type === 'tool_use');
|
|
if (toolUseBlocks.length > 0) {
|
|
output += `**🔧 Tools Used (${toolUseBlocks.length}):**\n\n`;
|
|
for (const tool of toolUseBlocks) {
|
|
const t = tool as any;
|
|
output += `- **${t.name}** (ID: \`${t.id}\`)\n`;
|
|
output += ` \`\`\`json\n`;
|
|
output += ` ${JSON.stringify(t.input, null, 2)}\n`;
|
|
output += ` \`\`\`\n\n`;
|
|
}
|
|
}
|
|
|
|
// 4. Token usage
|
|
if (assistantEntry.message.usage) {
|
|
const usage = assistantEntry.message.usage;
|
|
output += `**📊 Token Usage:**\n`;
|
|
output += `- Input: ${usage.input_tokens || 0}\n`;
|
|
output += `- Output: ${usage.output_tokens || 0}\n`;
|
|
if (usage.cache_creation_input_tokens) {
|
|
output += `- Cache creation: ${usage.cache_creation_input_tokens}\n`;
|
|
}
|
|
if (usage.cache_read_input_tokens) {
|
|
output += `- Cache read: ${usage.cache_read_input_tokens}\n`;
|
|
}
|
|
output += '\n';
|
|
}
|
|
|
|
output += `---\n\n`;
|
|
inTurn = false;
|
|
}
|
|
}
|
|
|
|
if (turnNumber < (stats.entriesByType['user'] || 0)) {
|
|
output += `\n*... ${(stats.entriesByType['user'] || 0) - turnNumber} more turns not shown*\n`;
|
|
}
|
|
|
|
// Write output
|
|
const outputPath = transcriptPath.replace('.jsonl', '-complete.md');
|
|
writeFileSync(outputPath, output, 'utf-8');
|
|
|
|
console.log(`\nComplete transcript written to: ${outputPath}`);
|
|
console.log(`Turns shown: ${Math.min(turnNumber, maxTurns)} of ${stats.entriesByType['user'] || 0}\n`);
|