zhaoxi
d84212f780
正式发布 Pretor 平台的首个 alpha 版本。本项目旨在构建一个基于分布式架构的多智能体协同工作流水线。 核心功能实现： 1. 建立基于 BaseIndividual 的动态插件加载机制。 2. 实现三类核心 worker_individual 子个体。 3. 集成 Ray 框架支持分布式集群调度。 4. 基于 PostgreSQL 的全量持久化存储方案。 5. 提供完整的 FastAPI 后端与 React 前端交互界面。
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
# Copyright 2026 zhaoxi826
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from loguru import logger
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from rich.logging import RichHandler
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from loguru._logger import Logger
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def setup_logger() -> Logger:
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logger.remove()
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def format_record(record):
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# Format string for rich handler
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actor = record["extra"].get("actor_name", "System")
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trace_id = record["extra"].get("trace_id", "")
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trace_str = f" | trace_id:({trace_id})" if trace_id else ""
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return f"actor:({actor}){trace_str} : {record['message']}"
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logger.configure(extra={"actor_name": "System", "trace_id": ""})
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logger.add(
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RichHandler(rich_tracebacks=True, markup=True, show_time=False, show_level=False, show_path=False),
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format=format_record,
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level="DEBUG",
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enqueue=True, # 异步记录
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)
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return logger
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global_logger = setup_logger()
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def get_logger(actor_name: str, trace_id: str = "") -> Logger:
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return global_logger.bind(actor_name=actor_name, trace_id=trace_id)
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