""" =============================================================================== FILE: modules/web_api/llm/agent.py PROJECT: SCUD Orion AI (Unified Architecture) MODULE: web_api / llm (Core Agent Coordinator) ROLE: Оркестратор диалога, диспетчер реляционных узлов промпта и инструментов. =============================================================================== """ # --- [SECTION 1: SYSTEM PATHS & IMPORTS] --- # ANCHOR[SYS_IMPORTS] import sys import re 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_apply_prompt_node_action, 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_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_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, inject_tools_if_needed from .core.ollama_client import call_ollama_chat from .core.fast_path import handle_fast_path_intercept # --- [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 с поддержкой реляционного редактора промпта.""" 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: state_type = session_state.get("state_type", "GENERAL") active_state_context = f"\n[АКТИВНЫЙ РЕЖИМ СЕССИИ: {state_type}]\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"СТРОГИЕ ПРАВИЛА СТИЛЯ:\n" f"- Запрещено использовать панибратские или шутливые обращения. Отвечай профессионально и строго по существу.\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_prompt_node_edit(action=..., section_id=..., item_id=..., content=...). Абсолютно запрещено изменять промпт напрямую текстом.\n" f" Пример: если просят 'добавь пункт 2.9 Тестовый пункт', ты ОБЯЗАН вызвать инструмент db_prompt_node_edit с аргументами: action='ADD', section_id=2, item_id=9, content='Тестовый пункт'.\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\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) raw_text_reply = msg.get("content", "") tool_calls = msg.get("tool_calls", []) tool_calls = inject_tools_if_needed(user_message, raw_text_reply, tool_calls) if tool_calls: logger.info(f"Ответ от Ollama получен. Tool calls: True (кол-во: {len(tool_calls)})") messages.append(msg) tool_names_called = [] for tool in tool_calls: fn_name = tool["function"]["name"] fn_args = tool["function"].get("arguments", {}) tool_names_called.append(fn_name) logger.info(f"Вызов функции (Tool): {fn_name} с аргументами: {fn_args}") tool_result_content = "" action_cfg = db_get_tool_action(fn_name) 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_prompt_node_edit": action = fn_args.get("action", "ADD").upper() sec_id = int(fn_args.get("section_id", 2)) itm_id = int(fn_args.get("item_id", 1)) content = fn_args.get("content", "").strip() with get_db_connection() as temp_conn: temp_cursor = temp_conn.cursor() temp_cursor.execute("SELECT section_id, item_id, content FROM system_prompt_nodes WHERE prompt_name = 'main_agent' AND is_active = 1 ORDER BY section_id, item_id") existing_nodes = temp_cursor.fetchall() nodes_dict = {(sec, itm): txt for sec, itm, txt in existing_nodes} if action == "DELETE": nodes_dict.pop((sec_id, itm_id), None) else: nodes_dict[(sec_id, itm_id)] = content virtual_lines = [] curr_sec = None for (s_id, i_id), txt in sorted(nodes_dict.items()): if i_id == 0: if curr_sec is not None: virtual_lines.append("") virtual_lines.append(f"{s_id}. {txt}") curr_sec = s_id else: line_str = f" {s_id}.{i_id}. {txt}" if s_id == sec_id and i_id == itm_id: line_str = f'{s_id}.{i_id}. {txt}' virtual_lines.append(line_str) merged_prompt = "\n".join([re.sub(r'<[^>]+>', '', l) for l in virtual_lines]) diff_html = "\n".join(virtual_lines) db_set_session_state(session_id, "PROMPT_PREVIEW", { "draft_text": merged_prompt, "action": action, "section_id": sec_id, "item_id": itm_id, "content": content }) 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"Предпросмотр изменений системного промпта:\n\n" f"{diff_html}\n\n" f"Для применения подтвердите действие, отредактируйте или отмените." ) db_save_chat_message(session_id, "assistant", preview_reply, is_ephemeral=1) return preview_reply, db_get_chat_history(session_id), { "type": "PROMPT_PREVIEW", "raw_draft": merged_prompt, "buttons": [ {"label": "Подтвердить", "value": "подтверждаю", "style": "primary"}, {"label": "Отменить", "value": "отмена", "style": "danger"}, {"label": "✏️ Редактировать", "value": "action:open_editor", "style": "secondary"} ] } 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()) 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")) tool_result_content = json.dumps(res, ensure_ascii=False) messages.append({"role": "tool", "content": tool_result_content}) 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)) is_output_ephemeral = 1 if any(name in ["db_get_system_prompt", "db_get_system_prompts", "db_prompt_node_edit"] for name in tool_names_called) else 0 db_save_chat_message(session_id, "assistant", final_content, is_ephemeral=is_output_ephemeral) return final_content, db_get_chat_history(session_id), None raw_str = msg.get("content", "").strip().replace("**", "").replace("*", "") final_reply = clean_raw_tool_tags(clean_output(raw_str)) or "Запрос обработан." 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