067880bf2e
新增: - backend/logger.py — 集中日志模块 (JSON格式 + trace_id + 独立llm.log) - @log_node / @_log_route 装饰器覆盖17个节点和8个路由 改进: - backend/llm.py — _LLMLoggingWrapper 自动记录LLM输入输出 - backend/llm.py — API Key优先读ANTHROPIC_API_KEY,模型名改为MiniMax-M2.7 - backend/llm.py — get_llm() 新增caller参数标识调用来源 - backend/validation.py — 新增验证结果/连接失败日志 - backend/session.py — 新增会话创建/删除日志 - app.py — 新增用户交互日志 (输入/执行/异常/会话操作) - app.py — 提前导入torchvision抑制transformers懒加载报错 - .env.example — 新增LOG_DIR/LOG_LEVEL/ANTHROPIC_API_KEY等配置项 - .gitignore — 新增logs/和db/忽略规则 文档: - ROADMAP.md — 新增阶段四: 可观测性 - README.md — 补充日志架构/LLM配置/项目结构 - CLAUDE.md — 同步最新配置/日志/MAX_RETRY(3) - CODE_GUIDE.md — 新增第15章日志系统,更新架构图/LLM/配置
168 lines
4.9 KiB
Python
168 lines
4.9 KiB
Python
"""集中日志模块。
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提供:
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- 结构化 JSON 日志(每行一条记录)
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- 请求级 trace_id(通过 contextvars 自动传播)
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- 独立的 LLM 调用日志文件
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- 日志轮转(按大小 10MB,保留 5 个备份)
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用法:
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from backend.logger import get_logger, set_trace_id
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# 业务日志
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log = get_logger("agent")
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log.info("节点开始执行", extra={"node": "classify_intent", "session_id": "xxx"})
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# LLM 日志
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llm_log = get_logger("llm")
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llm_log.info("LLM 请求", extra={"prompt": "...", "model": "gpt-4o"})
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"""
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import json
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import logging
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import os
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import sys
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import uuid
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from contextvars import ContextVar
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from datetime import datetime, timezone, timedelta
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from logging.handlers import RotatingFileHandler
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from pathlib import Path
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from typing import Optional
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LOG_DIR = Path(os.getenv("LOG_DIR", "./logs"))
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LOG_LEVEL = os.getenv("LOG_LEVEL", "DEBUG")
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LLM_LOG_FILE = "llm.log"
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APP_LOG_FILE = "app.log"
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CHINA_TZ = timezone(timedelta(hours=8))
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_trace_id_var: ContextVar[str] = ContextVar("trace_id", default="")
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def generate_trace_id() -> str:
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return uuid.uuid4().hex[:16]
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def get_trace_id() -> str:
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tid = _trace_id_var.get()
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if not tid:
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tid = generate_trace_id()
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_trace_id_var.set(tid)
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return tid
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def set_trace_id(trace_id: str):
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_trace_id_var.set(trace_id)
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class JsonFormatter(logging.Formatter):
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"""将日志记录格式化为单行 JSON,便于后续分析。
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LogRecord 标准属性的键(不放入 extra)。
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通过 logging.Logger.debug(msg, extra={...}) 传入的键会自动设为
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LogRecord 属性,由本格式化器收集到 extra 字段中。
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"""
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_STANDARD_ATTRS: set[str] = frozenset({
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"args", "asctime", "created", "exc_info", "exc_text", "filename",
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"funcName", "levelname", "levelno", "lineno", "module", "msecs",
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"message", "msg", "name", "pathname", "process", "processName",
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"relativeCreated", "stack_info", "thread", "threadName",
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"extra_fields", "taskName",
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})
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def _collect_extra(self, record: logging.LogRecord) -> dict:
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"""从 LogRecord 上收集非标准属性 → 合并为 extra dict。"""
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extra = dict(getattr(record, "extra_fields", {}))
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for key, val in record.__dict__.items():
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if key not in self._STANDARD_ATTRS and not key.startswith("_"):
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extra[key] = val
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return extra
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def format(self, record: logging.LogRecord) -> str:
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log_entry = {
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"timestamp": datetime.now(CHINA_TZ).isoformat(),
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"level": record.levelname,
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"logger": record.name,
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"trace_id": get_trace_id(),
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"message": record.getMessage(),
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"module": record.module,
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"function": record.funcName,
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"line": record.lineno,
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}
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extra = self._collect_extra(record)
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if extra:
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log_entry["extra"] = extra
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if record.exc_info and record.exc_info[0]:
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import traceback
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log_entry["exception"] = traceback.format_exception(
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record.exc_info[0], record.exc_info[1], record.exc_info[2]
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)
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return json.dumps(log_entry, ensure_ascii=False)
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def _create_handler(filename: str, level: int) -> RotatingFileHandler:
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handler = RotatingFileHandler(
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filename=str(LOG_DIR / filename),
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maxBytes=10 * 1024 * 1024,
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backupCount=5,
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encoding="utf-8",
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)
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handler.setLevel(level)
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handler.setFormatter(JsonFormatter())
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return handler
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def _get_level() -> int:
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return getattr(logging, LOG_LEVEL.upper(), logging.DEBUG)
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def get_logger(name: str) -> logging.Logger:
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"""获取指定名称的 logger,自动配置了 JSON 格式化 + 文件轮转。
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name="llm" → 输出到 logs/llm.log(仅 LLM 调用相关)
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其他 name → 输出到 logs/app.log
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"""
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logger = logging.getLogger(f"jrxml.{name}")
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if logger.handlers:
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return logger
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LOG_DIR.mkdir(parents=True, exist_ok=True)
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level = _get_level()
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logger.setLevel(level)
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logger.propagate = False
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if name == "llm":
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logger.addHandler(_create_handler(LLM_LOG_FILE, level))
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else:
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logger.addHandler(_create_handler(APP_LOG_FILE, level))
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return logger
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class _ExtraAdapter(logging.LoggerAdapter):
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"""支持通过 adapter.extra 合并 extra 字段的适配器。"""
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def process(self, msg, kwargs):
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extra = kwargs.pop("extra", {})
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merged = {**self.extra, **extra} if self.extra or extra else None
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if merged:
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kwargs["extra"] = {"extra_fields": merged}
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return msg, kwargs
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def get_trace_logger(name: str) -> _ExtraAdapter:
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"""返回一个自动附带 trace_id 的 logger 适配器。
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用法:
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log = get_trace_logger("agent")
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log.info("节点完成", extra={"node": "generate"})
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"""
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logger = get_logger(name)
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return _ExtraAdapter(logger, {"trace_id": get_trace_id()})
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