Integration of Python Logging module with other programming languages

Integration with Java

python The Logging module can be integrated with Java through the slf4j-bridge library. This library allows you to connect a Python logging logger to the SLF4J api, the SLF4J API is a popular framework for logging in Java .

To integrate, install the slf4j-bridge library and import it into your Python code:

import logging
import slf4j

# 创建 Python 日志记录器
logger = logging.getLogger("mylogger")

# 将 Python 日志记录器连接到 SLF4J API
bridge = slf4j.bridge.SLF4JBridgeHandler()
bridge.fORMatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
root_logger = logging.getLogger()
root_logger.addHandler(bridge)

You can now log information using the logger object in Python and output those records to a Java logging system managed by SLF4J.

Integration with C

To integrate the Python Logging module with c you can use the pybind11 library, which allows interop between Python and C code.

To integrate, install the pybind11 library and import it into your Python code and C code:

Python code:

import logging
import pybind11

# 创建 Pybind 封装器
logging_module = pybind11.module("logging_wrapper")
logging_module.def("log_message", log_message)

C code:

#include <pybind11/pybind11.h>
#include <logging.hh>

namespace py = pybind11;

void log_message(py::str message) {
spdlog::info("{}", message);
}

You can now call the log_message function in Python to log information to the C logging system managed by SPDLog.

Integration with JavaScript

The Python Logging module can be integrated with javascript through the log4js-js-logger library. This library allows you to share loggers between Python and JavaScript code.

To integrate, install the log4js-js-logger library and import it into your Python code and JavaScript code:

Python code:

import logging
import log4js_js_logger as l4js

# 创建 Py4js 封装器
l4js.install()
logger = logging.getLogger("javascript_logger")

JavaScript code:

const log4js = require("log4js");

log4js.configure({
appenders: {
js_logger: {
type: "console"
}
},
cateGories: {
default: {
appenders: ["js_logger"],
level: "debug"
}
}
});

const logger = log4js.getLogger("javascript_logger");
logger.debug("This is a message from JavaScript");

You can now use a shared logger object in Python and JavaScript code to log information and output those records to a JavaScript logging system managed by Log4js.

Benefits of Integration

Integrating the Python Logging module with other programming languages ​​ provides the following benefits:

• Unified logging: Allows logging from different language applications to be collected and managed in a centralized location.
• Enhanced maintainability: Simplified log processing and maintenance across different language applications.
• Improved efficiency: Eliminate the need to repeatedly create and manage loggers in different language applications.
• Better Troubleshooting: By collecting log information from multiple sources, problems can be more easily identified and resolved.

in conclusion

The Python Logging module provides powerful functionality integrated with other programming languages ​​such as Java, C, and JavaScript. This integration simplifies the logging process, improves maintainability, and enhances troubleshooting by providing a unified view of logging. By leveraging the techniques discussed in this article, you can take full advantage of the Python Logging module and integrate it seamlessly into your multilingual applications.

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