316 lines
18 KiB
Python
316 lines
18 KiB
Python
"""
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===============================================================================
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FILE: modules/web_api/llm/agent.py
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PROJECT: SCUD Orion AI (Unified Architecture)
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MODULE: web_api / llm (Core Agent Coordinator)
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ROLE: Оркестратор диалога, диспетчер Function Calling и Topic Drift контроллер.
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===============================================================================
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"""
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# --- [SECTION 1: SYSTEM PATHS & IMPORTS] --- # ANCHOR[SYS_IMPORTS]
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import sys
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import json
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import logging
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from typing import List, Dict, Any, Tuple, Optional
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from .db.connection import get_db_connection
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from .db_tools import (
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db_get_active_system_prompt,
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db_add_system_prompt,
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db_get_tool_action,
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db_get_tasks,
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db_update_task_status,
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db_delete_task,
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db_add_task,
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db_get_rules,
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db_set_session_state,
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db_get_session_state,
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db_clear_session_state,
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db_increment_session_idle,
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db_get_snapshots,
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db_delete_snapshots,
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db_get_current_server_time,
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db_save_chat_message,
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db_get_chat_history,
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db_purge_ephemeral_messages,
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db_get_stats,
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db_get_anomalies,
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db_get_session_states,
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db_get_reference
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)
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from .schemas import TOOLS_SCHEMA
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from .core.calendar_utils import get_dynamic_calendar_context
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from .core.tool_injector import clean_raw_tool_tags, clean_output
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from .core.ollama_client import call_ollama_chat
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from .core.fast_path import handle_fast_path_intercept
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from .core.prompt_merger import build_prompt_preview_merge
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# --- [SECTION 2: LOGGING CONFIGURATION] --- # ANCHOR[LOGGING_CONFIG]
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logger = logging.getLogger("SCUD_AGENT")
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logger.setLevel(logging.INFO)
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logger.propagate = False
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if not logger.handlers:
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handler = logging.StreamHandler(sys.stdout)
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formatter = logging.Formatter("%(asctime)s [%(levelname)s] [%(name)s] %(message)s")
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handler.setFormatter(formatter)
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logger.addHandler(handler)
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# --- [SECTION 3: MAIN CHAT PROCESSING PIPELINE] --- # ANCHOR[CHAT_PROCESSOR]
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def process_chat_message(
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user_id: int,
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user_message: str,
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file_context: str = "",
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image_b64: Optional[str] = None,
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chat_history: List[Dict[str, Any]] = None,
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session_id: str = "web_session_main"
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) -> Tuple[str, List[Dict[str, Any]], Optional[Dict[str, Any]]]:
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"""
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Главный конвейер диалога:
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1. Проверка Fast-Path команд (подтверждение, отмена, завершение).
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2. Формирование контекста и вызов Ollama LLM.
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3. Выполнение инструментов и обработка Context Guard.
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"""
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logger.info(f"Получено сообщение от user_id={user_id}, session_id={session_id}: {user_message}")
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full_user_content = f"{user_message}\n\n[СОДЕРЖИМОЕ ПРИКРЕПЛЕННОГО ФАЙЛА]:\n{file_context}" if file_context else user_message
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session_state = db_get_session_state(session_id)
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# 1. Fast-Path перехват
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fast_path_res = handle_fast_path_intercept(session_id, user_message, full_user_content, session_state)
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if fast_path_res:
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return fast_path_res
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# 2. Сохранение пользовательского сообщения
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is_user_ephemeral = 1 if session_state else 0
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db_save_chat_message(session_id, "user", full_user_content, is_ephemeral=is_user_ephemeral)
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db_history = db_get_chat_history(session_id, limit=20)
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# 3. Сборка системного промпта
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dynamic_prompt_text = db_get_active_system_prompt()
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calendar_context = get_dynamic_calendar_context()
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user_info = f"Пользователь ID={user_id}" if user_id != 0 else "Гость"
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active_state_context = ""
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if session_state and session_state.get("state_type") in ["PROMPT_PREVIEW", "PROMPT_FOLLOWUP"]:
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active_state_context = (
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"\n[АКТИВНОЕ ДЕЙСТВИЕ В СЕССИИ]\n"
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"В данный момент оператор находится в процессе настройки системного промпта.\n"
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"- Если оператор просит продолжить правки — продолжай работу с ним.\n"
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"- Если оператор переключился на другую тему — выполни его команду штатно.\n"
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)
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system_prompt_content = (
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f"Ты — интеллектуальный ассистент SCUD Orion AI. "
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f"Ты управляешь задачами, аналитикой СКУД и системными настройками с помощью инструментов (tools).\n\n"
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f"[ОКРУЖЕНИЕ]\n"
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f"- Пользователь: {user_info}\n"
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f"- {calendar_context}\n"
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f"{active_state_context}\n"
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f"[ПРАВИЛА ИСПОЛЬЗОВАНИЯ ИНСТРУМЕНТОВ]\n"
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f"1. Для любых изменений системного промпта ВСЕГДА вызывай db_preview_prompt_merge(prompt_text=...).\n"
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f"2. Для просмотра системного промпта ВСЕГДА вызывай db_get_system_prompt().\n"
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f"3. Для просмотра задач ВСЕГДА вызывай db_get_tasks().\n"
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f"4. Не симулируй выполнение функций текстом — сразу вызывай инструмент.\n\n"
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f"[ТЕКУЩИЙ АКТИВНЫЙ СИСТЕМНЫЙ ПРОМПТ]:\n{dynamic_prompt_text}"
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)
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user_msg_object = {"role": "user", "content": full_user_content}
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# --- [SECTION 4: OLLAMA INFERENCE & DISPATCH] --- # ANCHOR[TOOL_ROUTER]
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try:
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if image_b64:
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user_msg_object["images"] = [image_b64]
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messages = [
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{"role": "system", "content": "Ты — строгий модуль OCR. Перепиши весь текст с изображения буква в букву."},
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user_msg_object
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]
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msg = call_ollama_chat(messages, is_vision=True)
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else:
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clean_db_history = [dict(m) for m in db_history]
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for m in clean_db_history:
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m.pop("images", None)
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messages = [{"role": "system", "content": system_prompt_content}] + clean_db_history + [user_msg_object]
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msg = call_ollama_chat(messages, tools=TOOLS_SCHEMA, is_vision=False)
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tool_calls = msg.get("tool_calls", [])
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if tool_calls:
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logger.info(f"Ответ от Ollama получен. Tool calls: True (кол-во: {len(tool_calls)})")
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messages.append(msg)
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for tool in tool_calls:
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fn_name = tool["function"]["name"]
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fn_args = tool["function"].get("arguments", {})
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logger.info(f"Вызов функции (Tool): {fn_name} с аргументами: {fn_args}")
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tool_result_content = ""
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action_cfg = db_get_tool_action(fn_name)
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# ANCHOR[TASK_INTERACTIVE_DISPATCH]
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if fn_name == "db_get_tasks":
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raw_tasks = db_get_tasks(user_id)
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reply_text = "Вот интерактивный список ваших текущих задач:"
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db_save_chat_message(session_id, "assistant", reply_text, is_ephemeral=1)
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return reply_text, db_get_chat_history(session_id), {
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"type": "TASK_INTERACTIVE_CARD",
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"tasks": raw_tasks
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}
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elif fn_name == "db_preview_prompt_merge":
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proposed_text = fn_args.get("prompt_text") or fn_args.get("proposed_prompt") or ""
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if isinstance(fn_args, str):
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proposed_text = fn_args
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merged_prompt = build_prompt_preview_merge(db_get_active_system_prompt(), user_message, proposed_text)
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db_set_session_state(session_id, "PROMPT_PREVIEW", {"draft_text": merged_prompt, "idle_turns": 0})
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with get_db_connection() as conn_fix:
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conn_fix.cursor().execute("""
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UPDATE chat_messages
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SET is_ephemeral = 1
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WHERE id = (SELECT MAX(id) FROM chat_messages WHERE session_id = ? AND role = 'user')
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""", (session_id,))
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conn_fix.commit()
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preview_reply = (
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f"Ваше изменение успешно предпросмотрено. Полный обновленный системный промпт теперь выглядит так:\n\n"
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f"{merged_prompt}\n\n"
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f"Для применения изменений подтвердите действие («подтверждаю») или отмените («отмена»)."
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)
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db_save_chat_message(session_id, "assistant", preview_reply, is_ephemeral=1)
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return clean_raw_tool_tags(preview_reply), db_get_chat_history(session_id), {
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"type": "PROMPT_PREVIEW",
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"buttons": [
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{"label": "Подтвердить", "value": "подтверждаю", "style": "primary"},
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{"label": "Отменить", "value": "отмена", "style": "danger"}
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]
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}
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elif fn_name in ["db_get_system_prompt", "db_get_system_prompts"]:
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tool_result_content = json.dumps({"system_prompt": db_get_active_system_prompt()}, ensure_ascii=False)
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elif fn_name == "db_get_snapshots":
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snapshots_res = db_get_snapshots(session_id=session_id, date_str=fn_args.get("date_str"), original_user_message=user_message)
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tool_result_content = json.dumps(snapshots_res, ensure_ascii=False)
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elif fn_name == "db_get_current_server_time":
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tool_result_content = json.dumps(db_get_current_server_time(), ensure_ascii=False)
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elif fn_name == "db_get_stats":
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tool_result_content = json.dumps(db_get_stats(), ensure_ascii=False)
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elif fn_name == "db_get_anomalies":
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tool_result_content = json.dumps(db_get_anomalies(limit=fn_args.get("limit", 100), date_str=fn_args.get("date_str")), ensure_ascii=False)
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elif fn_name == "db_get_session_states":
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tool_result_content = json.dumps(db_get_session_states(), ensure_ascii=False)
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elif fn_name == "db_get_rules":
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tool_result_content = json.dumps(db_get_rules(), ensure_ascii=False)
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elif fn_name == "db_get_reference":
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tool_result_content = json.dumps(db_get_reference(category=fn_args.get("category")), ensure_ascii=False)
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elif fn_name == "db_add_task":
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res = db_add_task(user_id=user_id, module=fn_args.get("module", "general"), title=fn_args.get("title"), priority=fn_args.get("priority", "MEDIUM"), due_date=fn_args.get("due_date"))
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tool_result_content = json.dumps(res, ensure_ascii=False)
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elif fn_name == "db_update_task_status":
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res = db_update_task_status(user_id=user_id, task_id=str(fn_args.get("task_id")), status=fn_args.get("status", "COMPLETED"), due_date=fn_args.get("due_date"))
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tool_result_content = json.dumps(res, ensure_ascii=False)
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elif fn_name == "db_delete_task":
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res = db_delete_task(user_id=user_id, task_id=str(fn_args.get("task_id", "")).upper())
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if action_cfg and action_cfg.get("bypass_llm"):
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reply_text = action_cfg["success_template"]
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if action_cfg.get("follow_up_question"):
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reply_text += f"\n\n{action_cfg['follow_up_question']}"
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reply_text = reply_text.replace("✅", "").replace("❌", "").replace("**", "").replace("*", "").strip()
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db_save_chat_message(session_id, "assistant", reply_text, is_ephemeral=action_cfg.get("is_ephemeral", 1))
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return reply_text, db_get_chat_history(session_id), {
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"type": action_cfg.get("action_type"),
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"buttons": action_cfg.get("buttons", [])
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}
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tool_result_content = json.dumps(res, ensure_ascii=False)
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elif fn_name == "db_delete_snapshots":
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res = db_delete_snapshots(snapshot_id=fn_args.get("snapshot_id"), day_str=fn_args.get("day_str"))
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if action_cfg and action_cfg.get("bypass_llm"):
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reply_text = action_cfg["success_template"]
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if action_cfg.get("follow_up_question"):
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reply_text += f"\n\n{action_cfg['follow_up_question']}"
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reply_text = reply_text.replace("✅", "").replace("❌", "").replace("**", "").replace("*", "").strip()
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db_save_chat_message(session_id, "assistant", reply_text, is_ephemeral=action_cfg.get("is_ephemeral", 1))
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return reply_text, db_get_chat_history(session_id), {
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"type": action_cfg.get("action_type"),
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"buttons": action_cfg.get("buttons", [])
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}
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tool_result_content = json.dumps(res, ensure_ascii=False)
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messages.append({"role": "tool", "content": tool_result_content})
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# ANCHOR[SECONDARY_PASS]
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sec_msg = call_ollama_chat(messages, is_vision=False)
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raw_content = sec_msg.get("content", "").strip().replace("**", "").replace("*", "")
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final_content = clean_raw_tool_tags(clean_output(raw_content))
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tool_names_called = [t["function"]["name"] for t in tool_calls]
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is_output_ephemeral = 1 if any(name in ["db_get_system_prompt", "db_get_system_prompts", "db_preview_prompt_merge"] for name in tool_names_called) else 0
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# Topic Drift & Context Guard
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if session_state and session_state.get("state_type") in ["PROMPT_PREVIEW", "PROMPT_FOLLOWUP"]:
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idle_count = db_increment_session_idle(session_id)
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logger.info(f"Смена темы ({session_state.get('state_type')}). Текущий idle_turns: {idle_count}")
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if idle_count == 3:
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guard_note = "\n\nНапоминание: Завершить настройку системного промпта и очистить сессию?"
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final_content += guard_note
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db_save_chat_message(session_id, "assistant", final_content, is_ephemeral=is_output_ephemeral)
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return final_content, db_get_chat_history(session_id), {
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"type": "FOLLOW_UP_ACTION",
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"buttons": [
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{"label": "Да, закончить", "value": "нет, закончить настройку", "style": "primary"},
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{"label": "Показать промпт", "value": "покажи системный промпт", "style": "secondary"}
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]
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}
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elif idle_count > 3:
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logger.info(f"Автоочистка сессии: оператор переключился на другую тему (idle_turns={idle_count}).")
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db_clear_session_state(session_id)
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db_purge_ephemeral_messages(session_id)
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db_save_chat_message(session_id, "assistant", final_content, is_ephemeral=is_output_ephemeral)
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return final_content, db_get_chat_history(session_id), None
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# Обычный текстовый ответ без Tool Calls
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raw_str = msg.get("content", "").strip().replace("**", "").replace("*", "")
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final_reply = clean_raw_tool_tags(clean_output(raw_str)) or "Запрос обработан."
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if session_state and session_state.get("state_type") in ["PROMPT_PREVIEW", "PROMPT_FOLLOWUP"]:
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idle_count = db_increment_session_idle(session_id)
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logger.info(f"Текстовый диалог вне настройки ({session_state.get('state_type')}). Текущий idle_turns: {idle_count}")
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if idle_count == 3:
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guard_note = "\n\nНапоминание: Завершить настройку системного промпта и очистить сессию?"
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final_reply += guard_note
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db_save_chat_message(session_id, "assistant", final_reply, is_ephemeral=0)
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return final_reply, db_get_chat_history(session_id), {
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"type": "FOLLOW_UP_ACTION",
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"buttons": [
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{"label": "Да, закончить", "value": "нет, закончить настройку", "style": "primary"},
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{"label": "Показать промпт", "value": "покажи системный промпт", "style": "secondary"}
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]
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}
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elif idle_count > 3:
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logger.info(f"Автоочистка сессии: оператор переключился на другую тему (idle_turns={idle_count}).")
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db_clear_session_state(session_id)
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db_purge_ephemeral_messages(session_id)
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db_save_chat_message(session_id, "assistant", final_reply, is_ephemeral=0)
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return final_reply, db_get_chat_history(session_id), None
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except Exception as ex:
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logger.exception(f"Непредвиденная ошибка: {ex}")
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error_reply = f"Внутренняя ошибка сервера: {ex}"
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return error_reply, db_get_chat_history(session_id), None |