Conversations with >10 messages get an LLM-generated summary title. Conversations with <=10 messages get the first user message truncated to 100 chars. Supports --dry-run for previewing changes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
98 lines
2.9 KiB
Python
98 lines
2.9 KiB
Python
#!/usr/bin/env python3
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"""
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Management command to rename all conversations.
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- Conversations with >10 messages: renamed to an LLM-generated summary
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- Conversations with <=10 messages: renamed to a truncation of the first user message
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"""
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import argparse
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import asyncio
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import os
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from tortoise import Tortoise
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from blueprints.conversation.models import Conversation, Speaker
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from llm import LLMClient
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async def rename_conversations(dry_run: bool = False):
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"""Rename all conversations based on message count."""
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database_url = os.getenv("DATABASE_URL", "sqlite://raggr.db")
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await Tortoise.init(
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db_url=database_url,
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modules={
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"models": [
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"blueprints.users.models",
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"blueprints.conversation.models",
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]
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},
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)
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try:
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llm = LLMClient()
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conversations = await Conversation.all().prefetch_related("messages")
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renamed = 0
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skipped = 0
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for conversation in conversations:
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messages = sorted(conversation.messages, key=lambda m: m.created_at)
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user_messages = [m for m in messages if m.speaker == Speaker.USER]
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if not user_messages:
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skipped += 1
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continue
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if len(messages) > 10:
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# Summarize via LLM
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message_text = "\n".join(
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f"{m.speaker.value}: {m.text}" for m in messages[:30]
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)
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new_name = llm.chat(
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prompt=message_text,
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system_prompt=(
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"You are naming a conversation. Given the messages below, "
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"produce a short, descriptive title (max 8 words). "
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"Reply with ONLY the title, nothing else."
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),
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)
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new_name = new_name.strip().strip('"').strip("'")[:100]
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else:
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# Truncate first user message
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new_name = user_messages[0].text[:100]
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old_name = conversation.name
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if old_name == new_name:
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skipped += 1
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continue
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if dry_run:
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print(f" [dry-run] '{old_name}' -> '{new_name}'")
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else:
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conversation.name = new_name
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await conversation.save()
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print(f" '{old_name}' -> '{new_name}'")
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renamed += 1
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print(f"\nRenamed: {renamed} Skipped: {skipped}")
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if dry_run:
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print("(dry run — no changes were saved)")
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finally:
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await Tortoise.close_connections()
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="Rename conversations based on message count"
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)
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parser.add_argument(
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"--dry-run",
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action="store_true",
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help="Preview renames without saving",
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)
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args = parser.parse_args()
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asyncio.run(rename_conversations(dry_run=args.dry_run))
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