#!/usr/bin/env python3
"""
Import Claude conversations with the specific format found in your data
"""
import json
import asyncio
from datetime import datetime
from pathlib import Path
def parse_conversation(conv_data):
"""Parse a single conversation from your format"""
# Extract basic info
title = conv_data.get('name', 'Untitled Conversation')
created_at = conv_data.get('created_at', datetime.now().isoformat())
chat_messages = conv_data.get('chat_messages', [])
# Build conversation content from messages
content_parts = []
content_parts.append(f"# {title}")
content_parts.append(f"**Date:** {created_at}")
content_parts.append("")
for msg in chat_messages:
sender = msg.get('sender', 'unknown')
text = msg.get('text', '')
if text.strip(): # Only add non-empty messages
if sender == 'human':
content_parts.append(f"**Human**: {text}")
elif sender == 'assistant':
content_parts.append(f"**Claude**: {text}")
else:
content_parts.append(f"**{sender.title()}**: {text}")
content_parts.append("") # Add spacing between messages
content = '\n'.join(content_parts)
return {
'title': title,
'content': content,
'date': created_at
}
def main():
print("š Parsing Your Claude Conversations")
print("===================================")
# Load the conversations
conversations_file = Path("data/conversations.json")
with open(conversations_file, 'r', encoding='utf-8') as f:
conversations = json.load(f)
print(f"š¦ Found {len(conversations)} conversations")
# Parse first few conversations as examples
print(f"\nš Parsing examples...")
for i, conv in enumerate(conversations[:3]): # Show first 3
parsed = parse_conversation(conv)
print(f"\n--- Conversation {i+1} ---")
print(f"Title: {parsed['title']}")
print(f"Date: {parsed['date']}")
print(f"Content length: {len(parsed['content'])} characters")
print(f"First 200 chars: {parsed['content'][:200]}...")
print(f"\nā
All {len(conversations)} conversations can be parsed!")
print(f"š” Ready to import into your memory system")
if __name__ == "__main__":
main()
