forked from SpeedyFoxAi/jarvis-memory
71 lines
1.7 KiB
Python
Executable File
71 lines
1.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Q Save - Trigger conversation storage (Mem0-style)
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Usage:
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q_save.py --user-id "rob" "User message" "AI response" [--turn N]
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Called when user says "save q" or "q save" to immediately
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store the current conversation to Qdrant.
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Mem0-style: user_id is REQUIRED and persistent across all chats.
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"""
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import argparse
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import subprocess
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import sys
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from pathlib import Path
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SCRIPT_DIR = Path(__file__).parent.resolve()
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BACKGROUND_STORE = SCRIPT_DIR / "background_store.py"
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def q_save(
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user_id: str,
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user_message: str,
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ai_response: str,
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turn: int = None
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):
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"""Save conversation to Qdrant (background, zero delay)"""
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cmd = [
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sys.executable,
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str(BACKGROUND_STORE),
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user_message,
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ai_response,
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"--user-id", user_id
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]
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if turn:
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cmd.extend(["--turn", str(turn)])
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# Fire and forget
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subprocess.Popen(
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cmd,
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stdout=subprocess.DEVNULL,
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stderr=subprocess.DEVNULL,
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start_new_session=True
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)
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return True
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def main():
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parser = argparse.ArgumentParser(
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description='Q Save - Mem0-style trigger (user-centric)'
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)
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parser.add_argument("--user-id", required=True,
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help="REQUIRED: User ID (e.g., 'rob')")
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parser.add_argument("user_message", help="User's message")
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parser.add_argument("ai_response", help="AI's response")
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parser.add_argument("--turn", type=int, help="Turn number")
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args = parser.parse_args()
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if q_save(args.user_id, args.user_message, args.ai_response, args.turn):
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print(f"✅ Saved for user '{args.user_id}'")
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else:
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print("❌ Failed to save", file=sys.stderr)
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sys.exit(1)
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if __name__ == "__main__":
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main()
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