1b35f07fd7
- src/doc/ 拆分为 src/core/extraction/, matching/, validation/（核心业务逻辑） - src/bot/ 重命名为 src/infra/browser/（浏览器自动化基础设施） - fill_consumable_doc.py → src/infra/documents/consumable.py - 新增 Agent 调度模块：coordinator.py, events.py, session.py，重构 orchestrator.py - 更新 AGENTS.md、README.md 及所有子目录 README
70 lines
2.7 KiB
Python
70 lines
2.7 KiB
Python
"""诊断脚本：检查 stream_chat 返回对象的字段结构"""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent))
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# 加载 .env
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from dotenv import load_dotenv # noqa: E402
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from llama_index.core.llms import ChatMessage # noqa: E402
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from src.config import get_llm_config # noqa: E402
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from src.core.extraction import _create_llm # noqa: E402
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load_dotenv(Path(__file__).parent / ".env")
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llm_config = get_llm_config()
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print(f"LLM config: model={llm_config['model']}, api_base={llm_config['api_base']}")
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llm = _create_llm()
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messages = [
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ChatMessage(role="system", content="你是一个助手"),
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ChatMessage(role="user", content="1+1 等于几？"),
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]
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print("\n=== 检查 stream_chat 返回对象的字段 ===")
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count = 0
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try:
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for resp in llm.stream_chat(messages, temperature=0.1):
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count += 1
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if count <= 3:
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print(f"\n--- chunk #{count} ---")
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print(f" type: {type(resp).__name__}")
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print(f" delta: {repr(resp.delta)[:200]}")
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if hasattr(resp, "additional_kwargs") and resp.additional_kwargs:
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print(f" additional_kwargs keys: {list(resp.additional_kwargs.keys())}")
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for k, v in resp.additional_kwargs.items():
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val_preview = str(v)[:200]
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print(f" additional_kwargs['{k}']: {val_preview}")
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if hasattr(resp, "raw"):
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raw = resp.raw
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if isinstance(raw, dict):
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print(f" raw keys: {list(raw.keys())}")
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for k, v in raw.items():
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val_preview = str(v)[:200]
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print(f" raw['{k}']: {val_preview}")
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else:
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print(f" raw type: {type(raw)}")
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if hasattr(resp, "message") and resp.message:
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msg = resp.message
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print(f" message type: {type(msg).__name__}")
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if hasattr(msg, "additional_kwargs") and msg.additional_kwargs:
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print(f" message.additional_kwargs keys: {list(msg.additional_kwargs.keys())}")
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for k, v in msg.additional_kwargs.items():
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val_preview = str(v)[:200]
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print(f" message.additional_kwargs['{k}']: {val_preview}")
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if hasattr(msg, "reasoning_content"):
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rc = msg.reasoning_content
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print(f" message.reasoning_content: {repr(rc)[:200]}")
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elif count == 4:
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print("\n... (更多 chunk 省略)")
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if count >= 10:
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break
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print(f"\n=== 共收到 {count} 个 chunk ===")
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except Exception as e:
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print(f"\n错误: {e}")
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import traceback
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traceback.print_exc()
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