127 lines
5.7 KiB
Python
127 lines
5.7 KiB
Python
import json
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import urllib.request
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import urllib.error
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from typing import List, Dict, Any, Tuple
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from datetime import datetime
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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_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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)
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from .schemas import TOOLS_SCHEMA
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OLLAMA_URL = "http://192.168.11.3:11434/api/chat"
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MODEL_NAME = "qwen2.5:14b"
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def format_rules_output(rules: List[Dict[str, Any]]) -> str:
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if not rules:
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return "База знаний пока пуста."
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lines = [f"📚 База знаний и правила арбитража ({len(rules)}):\n"]
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for idx, r in enumerate(rules, 1):
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rule_text = r.get("rule_text", "").strip()
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lines.append(f"{idx}. {rule_text}\n")
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return "\n".join(lines).strip()
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def process_chat_message(user_id: int, user_message: str, chat_history: List[Dict[str, Any]] = None) -> Tuple[str, List[Dict[str, Any]]]:
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if chat_history is None:
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chat_history = []
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current_now = datetime.now().strftime("%Y-%m-%d %H:%M")
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# Запрос к локальной модели Qwen (полный цикл Function Calling)
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dynamic_prompt_text = db_get_active_system_prompt()
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system_prompt = {
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"role": "system",
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"content": f"Текущая дата и время сервера: {current_now}.\n\n{dynamic_prompt_text}"
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}
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messages = [system_prompt] + chat_history + [{"role": "user", "content": user_message}]
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payload = {
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"model": MODEL_NAME,
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"messages": messages,
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"tools": TOOLS_SCHEMA,
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"stream": False,
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"options": {"num_predict": 2048, "num_ctx": 8192, "temperature": 0.1}
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}
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try:
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req = urllib.request.Request(
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OLLAMA_URL,
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data=json.dumps(payload).encode("utf-8"),
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headers={"Content-Type": "application/json"}
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)
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with urllib.request.urlopen(req) as response:
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res_data = json.loads(response.read().decode("utf-8"))
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msg = res_data.get("message", {})
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tool_calls = msg.get("tool_calls", [])
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if 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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tool_result_content = ""
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if fn_name == "db_get_tasks":
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tasks = db_get_tasks(user_id)
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tool_result_content = json.dumps(tasks, ensure_ascii=False)
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elif fn_name in ["db_get_system_prompt", "db_get_system_prompts"]:
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tool_result_content = db_get_active_system_prompt()
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elif fn_name == "db_add_system_prompt":
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res = db_add_system_prompt(
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name=fn_args.get("name", "main_agent"),
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prompt_text=fn_args.get("prompt_text")
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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_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_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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tool_result_content = json.dumps(res, ensure_ascii=False)
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messages.append({
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"role": "tool",
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"content": tool_result_content
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})
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# Вторичный запрос модели для формирования итогового ответа оператору
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second_payload = {
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"model": MODEL_NAME,
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"messages": messages,
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"stream": False,
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"options": {"num_predict": 2048, "num_ctx": 8192, "temperature": 0.1}
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}
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sec_req = urllib.request.Request(
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OLLAMA_URL,
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data=json.dumps(second_payload).encode("utf-8"),
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headers={"Content-Type": "application/json"}
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)
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with urllib.request.urlopen(sec_req) as sec_response:
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sec_res_data = json.loads(sec_response.read().decode("utf-8"))
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final_content = sec_res_data.get("message", {}).get("content", "").strip().replace("**", "")
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return final_content, chat_history + [{"role": "user", "content": user_message}, {"role": "assistant", "content": final_content}]
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content_str = msg.get("content", "").strip().replace("**", "")
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return content_str or "Запрос обработан.", chat_history + [{"role": "user", "content": user_message}, {"role": "assistant", "content": content_str}]
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except urllib.error.URLError as e:
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return f"Ошибка связи с Ollama ({OLLAMA_URL}): {e}", chat_history |