283 lines
11 KiB
Python
283 lines
11 KiB
Python
# orchestrator.py
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from typing import Dict, Any, Literal, TypedDict, List, Optional
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from langgraph.graph import StateGraph, END
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from langgraph.checkpoint.memory import MemorySaver
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import uuid
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from datetime import datetime
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from models import Task, TaskStatus, CodeSolution, ReviewResult, IterationRecord
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from agent.developer import DeveloperAgent
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from agent.reviewer import ReviewerAgent
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from config import MAX_REVIEW_RETRIES
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class AgentState(TypedDict):
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task: Task
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plan: Dict
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execution_results: List[Dict]
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review: Optional[ReviewResult]
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iteration: int
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max_iterations: int
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class Orchestrator:
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"""Оркестратор - управляет процессом разработки"""
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def __init__(self):
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self.developer = DeveloperAgent()
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self.reviewer = ReviewerAgent()
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self.max_retries = MAX_REVIEW_RETRIES
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# Создаем граф состояний
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self.workflow = self._build_workflow()
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self.checkpointer = MemorySaver()
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def _add_history(self, task: Task, agent: str, action: str,
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input_summary: str = None, output_summary: str = None,
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details: Dict = None, error: str = None):
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"""Добавляет запись в историю задачи"""
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record = IterationRecord(
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iteration=task.iteration,
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timestamp=datetime.now().isoformat(),
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agent=agent,
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action=action,
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input_summary=input_summary,
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output_summary=output_summary,
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details=details or {},
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error=error
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)
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task.history.append(record)
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def _build_workflow(self):
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"""Строит граф процесса разработки"""
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# Определяем состояния
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workflow = StateGraph(AgentState)
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# Добавляем узлы
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workflow.add_node("planner", self._plan_node)
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workflow.add_node("executor", self._exec_node)
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workflow.add_node("reviewer", self._review_node)
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# Определяем переходы
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workflow.set_entry_point("planner")
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workflow.add_edge("planner", "executor")
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workflow.add_edge("executor", "reviewer")
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workflow.add_conditional_edges("reviewer", self._after_review, {
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"approved": END,
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"rework": "executor", # повторить выполнение с тем же планом? или перепланировать?
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"replan": "planner",
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"reject": END
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})
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return workflow.compile()
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def _plan_node(self, state: AgentState):
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task = state["task"]
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print(f"\n🔧 [Iteration {task.iteration}] Планировщик начал работу...")
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# Создаем запись в истории
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task.history.append(IterationRecord(
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iteration=task.iteration,
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timestamp=datetime.now().isoformat(),
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agent="developer",
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action="start",
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input_summary=f"Requirement: {task.requirement[:100]}...",
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details={}
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))
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# План просто содержит задачу - разработчик выполнит её напрямую
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plan = {"task": task.requirement, "iteration": task.iteration}
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state["plan"] = plan
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return state
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def _exec_node(self, state: AgentState):
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"""Узел разработчика"""
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task = state["task"]
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print(f"\n🔧 [Iteration {task.iteration}] Исполнитель начал работу...")
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# Обновляем статус
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task.status = TaskStatus.DEVELOPMENT
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# Разработчик выполняет задачу напрямую
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solution = self.developer.develop(task, [])
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task.solution = solution
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task.status = TaskStatus.REVIEW
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# Записываем результат выполнения
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state["execution_results"] = [{"status": "success", "solution": solution}]
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# Добавляем запись в историю
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task.history.append(IterationRecord(
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iteration=task.iteration,
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timestamp=datetime.now().isoformat(),
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agent="developer",
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action="complete",
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output_summary=f"Generated {len(solution.files)} file(s), {len(solution.tests)} test(s)",
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details={
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"files": list(solution.files.keys()),
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"tests": list(solution.tests.keys())
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}
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))
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print(f"✅ Разработчик создал решение: {len(solution.files)} файлов")
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return state
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def _review_node(self, state: AgentState):
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task = state["task"]
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print(f"\n🔍 [Iteration {task.iteration}] Ревьювер начал работу...")
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# Добавляем запись о начале ревью
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task.history.append(IterationRecord(
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iteration=task.iteration,
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timestamp=datetime.now().isoformat(),
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agent="reviewer",
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action="start",
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input_summary=f"Reviewing {len(task.solution.files) if task.solution else 0} file(s)",
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details={}
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))
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if not task.solution:
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task.status = TaskStatus.FAILED
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error_msg = "No solution to review"
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task.error_log.append(error_msg)
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task.history.append(IterationRecord(
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iteration=task.iteration,
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timestamp=datetime.now().isoformat(),
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agent="reviewer",
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action="error",
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error=error_msg
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))
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return state
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# Проводим ревью
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review = self.reviewer.review(task, task.solution)
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task.last_review = review
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task.iteration += 1
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# Добавляем запись в историю
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task.history.append(IterationRecord(
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iteration=task.iteration - 1, # предыдущая итерация
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timestamp=datetime.now().isoformat(),
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agent="reviewer",
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action="complete",
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output_summary=f"Verdict: {review.status}, Comments: {len(review.comments)}",
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details={
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"verdict": review.status,
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"comments_count": len(review.comments)
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}
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))
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# Сохраняем результат ревью
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state["review"] = review
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print(f"📊 Вердикт: {review.status}")
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if review.comments:
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print(f" Найдено замечаний: {len(review.comments)}")
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return state
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def _after_review(self, state: AgentState):
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task = state["task"]
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review = state["review"]
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# Определяем статус
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if isinstance(review, ReviewResult):
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status = review.status
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elif isinstance(review, dict):
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status = review.get("status")
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else:
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status = None
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if status == "approved":
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task.status = TaskStatus.APPROVED
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return "approved"
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elif status == "changes_requested":
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if task.iteration >= state.get("max_iterations", 3):
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task.status = TaskStatus.FAILED
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return "reject"
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task.status = TaskStatus.REWORK
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return "rework"
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elif status == "rejected":
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if task.iteration >= state.get("max_iterations", 3):
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task.status = TaskStatus.FAILED
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return "reject"
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task.status = TaskStatus.REWORK
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return "replan"
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else:
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task.status = TaskStatus.FAILED
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return "reject"
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def _save_solution(self, solution: CodeSolution):
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"""Сохраняет решение в файлы"""
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import os
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output_dir = "generated_code"
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os.makedirs(output_dir, exist_ok=True)
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for filename, content in solution.files.items():
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filepath = os.path.join(output_dir, filename)
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with open(filepath, "w", encoding="utf-8") as f:
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f.write(content)
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print(f" 💾 Сохранен файл: {filepath}")
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for testname, test_content in solution.tests.items():
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testpath = os.path.join(output_dir, testname)
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with open(testpath, "w", encoding="utf-8") as f:
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f.write(test_content)
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print(f" 💾 Сохранен тест: {testpath}")
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def run(self, task_text: str, max_iterations: int = 3) -> Dict:
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"""Запускает процесс разработки"""
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task_id = str(uuid.uuid4())
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# Создаем объект Task
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task = Task(
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id=task_id,
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requirement=task_text,
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status=TaskStatus.PENDING,
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iteration=0,
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solution=None,
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last_review=None,
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error_log=[],
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history=[]
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)
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initial_state = {
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"task": task,
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"plan": {},
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"execution_results": [],
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"review": None,
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"iteration": 0,
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"max_iterations": max_iterations
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}
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print(f"\n🚀 Запуск мультиагентной системы")
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print(f"📝 Задача: {task_text[:100]}...")
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print(f"🆔 ID: {task_id}")
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# Запускаем граф
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final_state = self.workflow.invoke(initial_state)
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# Сохраняем решение если успешно
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final_task = final_state["task"]
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if final_task.status == TaskStatus.APPROVED and final_task.solution:
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self._save_solution(final_task.solution)
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print("\n" + "="*50)
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print("📋 ИТОГИ РАБОТЫ")
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print("="*50)
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print(f"Статус: {final_task.status.value}")
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print(f"Итераций: {final_task.iteration}")
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if final_task.status == TaskStatus.APPROVED:
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print(f"\n✅ Решение принято!")
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print(f" Файлов: {len(final_task.solution.files)}")
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print(f" Тестов: {len(final_task.solution.tests)}")
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elif final_task.last_review:
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print(f"\n📝 Финальный вердикт: {final_task.last_review.summary}")
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if final_task.error_log:
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print(f"\n❌ Ошибки: {len(final_task.error_log)}")
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for error in final_task.error_log:
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print(f" - {error}")
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return {"task": final_task} |