datetime timestamp using Python with microsecond level accuracy

I am trying to get timestamps that are accurate down to the microsecond on Windows OS and macOS in Python 3.10+.

On Windows OS, I have noticed Python's built-in time.time() (paired with datetime.fromtimestamp()) and datetime.datetime.now() seem to have a slower clock. They don't have enough resolution to differentiate microsecond-level events. The good news is time functions like time.perf_counter() and time.time_ns() do seem to use a clock that is fast enough to measure microsecond-level events.

Sadly, I can't figure out how to get them into datetime objects. How can I get the output of time.perf_counter() or PEP 564's nanosecond resolution time functions into a datetime object?

Note: I don't need nanosecond-level stuff, so it's okay to throw away out precision below 1-μs).

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Current Solution

This is my current (hacky) solution, which actually works fine, but I am wondering if there's a cleaner way:

import time
from datetime import datetime, timedelta
from typing import Final

IMPORT_TIMESTAMP: Final[datetime] = datetime.now()
INITIAL_PERF_COUNTER: Final[float] = time.perf_counter()


def get_timestamp() -> datetime:
    """Get a high resolution timestamp with μs-level precision."""
    dt_sec = time.perf_counter() - INITIAL_PERF_COUNTER
    return IMPORT_TIMESTAMP + timedelta(seconds=dt_sec)

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