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