翻看了一下 loguru 的源代码

loguru 有很恶心的 pyi 文件来影响咱们看源代码,倡议删除 pyi 后再看。python 删除 pyi 文件

能够应用 logger.bind,然而 logger.bind 会返回一个新的 logger,当前都要应用这个新的 logger 才行

ll=logger.bind(project_name="ideaboom")
参考文章:How to use Loguru defaults + and extra information?

loguru 貌似没有提供原地批改的形式,只能通过这种 logger.bind 生成一个新的 logger 的形式

残缺代码:

from loguru._recattrs import RecordExceptionfrom loguru._handler import Handlerfrom loguru import loggerimport sysimport jsonlogger.remove()logger.add(sys.stdout, serialize='json')ll=logger.bind(project_name="ideaboom")ll.debug('哈哈哈')

从上面的运行后果,能够看到,extra 中曾经带上 project_name 了

╰─➤  python -u "/Users/ponponon/Desktop/code/me/ideaboom/test_logger/003.py"{"text": "2022-10-19 09:25:42.082 | DEBUG    | __main__:<module>:14 - 哈哈哈\n", "record": {"elapsed": {"repr": "0:00:00.005543", "seconds": 0.005543}, "exception": null, "extra": {"project_name": "ideaboom"}, "file": {"name": "003.py", "path": "/Users/ponponon/Desktop/code/me/ideaboom/test_logger/003.py"}, "function": "<module>", "level": {"icon": "", "name": "DEBUG", "no": 10}, "line": 14, "message": "哈哈哈", "module": "003", "name": "__main__", "process": {"id": 41288, "name": "MainProcess"}, "thread": {"id": 4300178816, "name": "MainThread"}, "time": {"repr": "2022-10-19 09:25:42.082610+08:00", "timestamp": 1666142742.08261}}}

为了不便各位看官看,我把这条日志格式化一下

{  "text": "2022-10-19 09:25:42.082 | DEBUG    | __main__:<module>:14 - 哈哈哈\n",  "record": {    "elapsed": { "repr": "0:00:00.005543", "seconds": 0.005543 },    "exception": null,    "extra": { "project_name": "ideaboom" },    "file": {      "name": "003.py",      "path": "/Users/ponponon/Desktop/code/me/ideaboom/test_logger/003.py"    },    "function": "<module>",    "level": { "icon": "", "name": "DEBUG", "no": 10 },    "line": 14,    "message": "哈哈哈",    "module": "003",    "name": "__main__",    "process": { "id": 41288, "name": "MainProcess" },    "thread": { "id": 4300178816, "name": "MainThread" },    "time": {      "repr": "2022-10-19 09:25:42.082610+08:00",      "timestamp": 1666142742.08261    }  }}
如果你感觉这个 json 蕴含了太多非必要字段了,能够参考解决: loguru serialize 缩小字段