## 核心变更
### 规则层全面异步化(DEBT-1)
- EvalRule.evaluate() 签名改为 async def,全量同步改造(无兼容层)
- LlmScoreRule._call_llm: requests.post → httpx.AsyncClient,彻底消除事件循环阻塞
- engine._save_rule_results: rule.evaluate() → await rule.evaluate()
### 工具函数去重(DEBT-2)
- 新建 agenteval/utils/llm.py,统一三个函数:
- extract_reply_text (原 5 处重复)
- extract_content_from_llm_response (原 2 处重复)
- parse_json_from_llm_text (统一 LLM 输出 JSON 解析)
- engine.py / llm_score.py / runs.py / report.py 全部切换到 utils.llm
### HTTP 通用通道(S1-3)
- 新建 channels/http.py (HttpChannel)
- 配置化 send_url / reply_url 模板 ({message}, {msg_id} 占位)
- dot-path 提取 msg_id 和 reply_text
- 可选 reply_ready_path 就绪标志
- 长连接 AsyncClient 复用
- ChannelFactory 注册 ChannelType.HTTP → HttpChannel
### 测试
- 新增 tests/unit/test_http_channel_and_rules.py (19 个测试)
- _get_path / health_check / send / poll_reply / 超时 / 就绪标志 / async 规则评估
- 测试总数:24 → 43,全部通过
Co-Authored-By: Claude <noreply@anthropic.com>
26 lines
942 B
Python
26 lines
942 B
Python
"""Factory for creating message channels from target configuration."""
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from agenteval.channels.base import EvalChannel
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from agenteval.channels.http import HttpChannel
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from agenteval.channels.tutu import TutuApiChannel
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from agenteval.models import ChannelType, EvalTarget
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class ChannelFactory:
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"""Create the appropriate channel adapter for a target."""
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_mapping: dict[ChannelType, type[EvalChannel]] = {
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ChannelType.TUTU_API: TutuApiChannel,
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ChannelType.HTTP: HttpChannel,
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}
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@classmethod
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def create(cls, target: EvalTarget) -> EvalChannel:
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if target.channel_type not in cls._mapping:
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raise ValueError(f"unsupported channel type: {target.channel_type}")
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return cls._mapping[target.channel_type](target.channel_config)
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@classmethod
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def register(cls, channel_type: ChannelType, channel_cls: type[EvalChannel]) -> None:
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cls._mapping[channel_type] = channel_cls
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