Here’s the translation of the Go logging example to Standard ML, formatted in Markdown suitable for Hugo:
This Standard ML code demonstrates logging functionality similar to the original Go example. Here’s a breakdown of the translation:
We use the TextIO module for basic I/O operations.
A getCurrentTimestamp function is implemented to mimic the timestamp functionality.
A simple log function is created for basic logging.
The logWithMicro function demonstrates logging with microsecond precision.
The logWithFileInfo function shows how to include file and line information.
logToBuffer demonstrates logging to a string buffer.
The logJSON function provides a basic implementation of structured logging in a JSON-like format.
To run this program, save it as logging.sml and use your Standard ML interpreter. For example, with MLton:
Sample output (the date and time will depend on when the example is run):
Note that Standard ML doesn’t have built-in support for structured logging or JSON output, so we’ve implemented a basic version. In a real-world scenario, you might want to use or create a more robust logging library.