轻量级结构化日志库,提供彩色终端输出和上下文绑定
Project description
dictlog
受 structlog 启发的轻量级结构化日志库,提供彩色终端输出和上下文绑定。
相比 structlog,dictlog 的方法签名完全标注了类型,编辑器可以正常补全和提示。
功能肯定没有 structlog 强大,但是终于不用再看编辑器的错误提示了。
由于是基于系统库 logging 实现,使用上完全兼容。
特性
- 结构化日志 + key-value 上下文绑定(
bind/unbind) - 彩色终端输出,紧凑格式
- 支持 6 种日志级别:
TRACE<DEBUG<INFO<WARNING<ERROR<CRITICAL - 支持子 logger(用
.分隔名称) exception()方法自动附加异常堆栈;所有日志方法均支持exc_info、*args(%-style 格式化)和stacklevel参数,与标准logging保持一致- 开箱即用,零配置
- 完整的类型标注,编辑器友好
安装
pip install dictlog
# 或使用 uv
uv add dictlog
要求 Python >= 3.9。
使用
import dictlog
# 基本用法
log = dictlog.get_logger("myapp")
# 调整日志级别,与 logging.DEBUG 等价,默认是 WARNING
log.level = dictlog.DEBUG
# 支持的日志级别:TRACE(5) < DEBUG(10) < INFO(20) < WARNING(30) < ERROR(40) < CRITICAL(50)
log.trace("detailed debug info", user_id=123) # 最详细的调试信息
log.debug("debug message", port=8080)
log.info("server started", port=8080)
# % 风格格式化参数,与 logging 用法一致
log.info("hello %s", "world")
log.debug("x=%d y=%d", 1, 2)
# 自定义 stacklevel(默认 1,即直接调用方的帧)
def my_wrapper():
log.info("from wrapper", stacklevel=2) # 上报到调用 my_wrapper() 的代码行
# 绑定上下文,后续调用自动携带
log = log.bind(user="alice")
log.info("user logged in") # 自带 user=alice
log = log.unbind("user")
log.info("context removed") # 不再包含 user
# 捕获异常并附加堆栈,与 logging 用法一致
try:
1 / 0
except ZeroDivisionError:
log.error("something went wrong", exc_info=True)
# 或使用 exception(),默认 exc_info=True
log.exception("something went wrong")
dictlog 是如何调用 logging 的
log = dictlog.get_logger("foo", name=123)
log.info("hello")
等价于
root_log = logging.getLogger("dictlog")
if not root_log.handlers:
handler = logging.StreamHandler()
handler.setFormatter(_formatter) # ColorFormatter
root_log.addHandler(handler)
log = logging.getLogger("dictlog.foo")
log.info("hello %s", "name=123")
如果不想使用
dictlog.开头,可以通过修改dictlog._ROOT_NAME实现
开发
# 安装依赖
uv sync
# 运行 pre-commit hooks
uv run pre-commit run --all-files
# 运行示例
uv run dictlog.py
License
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