57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""UserPromptSubmit：每輪注入「人格 + 情緒 + 記憶 + 關係」上下文，並記錄原始逐字。
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短期記憶（memory/short-term.jsonl）由 skill 做完語意分析後才寫入（有主題/實體/
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顯著度/情緒變化）；這裡只寫 journal 原始逐字，避免同一句話被記兩次。
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"""
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from __future__ import annotations
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import json
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent / "scripts"))
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import persona_lib as pl # noqa: E402
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def main() -> int:
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try:
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event = json.load(sys.stdin)
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except json.JSONDecodeError:
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return 0
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session_id = event.get("session_id") or "unknown"
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prompt = event.get("prompt") or ""
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data = pl.load_session(session_id)
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host = data.get("host")
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if not host or not pl.persona_exists(host):
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return 0
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pl.heartbeat_lock(host, session_id)
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for guest, info in (data.get("guests") or {}).items():
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if pl.persona_exists(guest):
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pl.add_guest_lease(guest, session_id, info.get("room", ""), host)
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pl.append_jsonl(pl.journal_path(host), {
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"ts": pl.iso(), "kind": "utterance", "role": "user", "text": prompt[:4000],
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})
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context = pl.turn_context(host, session_id, prompt)
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hint = (
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"\n回覆前請：①做語意分析（意圖/主題/實體/情感）②依十二情緒更新狀態"
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" ③以人格語氣回覆 ④用 `persona.py remember` 寫回短期記憶。"
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"\n情緒與記憶指令請參考 /jsc-persona:persona-chat。"
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)
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print(json.dumps({
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"hookSpecificOutput": {
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"hookEventName": "UserPromptSubmit",
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"additionalContext": context + hint,
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},
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"suppressOutput": True,
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}, ensure_ascii=False))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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