NTP: manual or automatic (for CircuitPython ports with native wifi) & alternative(s)

ntp.py

import time
import rtc
import wifi
import socketpool
import adafruit_ntp
from secrets import secrets

pool = socketpool.SocketPool(wifi.radio)

ntp = adafruit_ntp.NTP(pool, tz_offset=0)

wifi.radio.connect(secrets["ssid"], secrets["password"])

# manual - sync ntp to the internal rtc when it needs adjustment
rtci = rtc.RTC()
rtci.datetime = ntp.datetime
print(time.localtime())

# automatic - use ntp as the source for all time calls
rtc.set_time_source(ntp)
print(time.localtime())

An alternative process for sub-second timestamps could be:

import time
import rtc
import random

# track rtc timestamps with monotonic (but not accurate) fractional seconds)
# rtc can be fed from any source of struct_time

current_s = 0
current_monotonic_ns = time.monotonic_ns()
while True:
    event = True  # some loggable activity happens
    if event:
        rtc_s = time.mktime(rtc.RTC().datetime)
        if rtc_s != current_s:
            print()
            current_s = rtc_s
            current_monotonic_ns = time.monotonic_ns()
            new_s_indicator = "*"
        else:
            new_s_indicator = "-"
        interval_ns = time.monotonic_ns() - current_monotonic_ns
        bodged_float_str = f"{rtc_s}" + "." + f"{(interval_ns / 1_000_000_000):0.3f}".split("0.")[-1]
        print(f"{new_s_indicator} {rtc_s} {bodged_float_str: 18}")  # , end="\r")
    time.sleep(random.random())  # simulate random event intervals

The fractional seconds are not accurate relative to real clock time, but the intervals between are reasonably accurate. The fractional seconds are strictly monotonic, so preserve the sequence of timestamps.

Sample output:

* 1664226131 1664226131.000    
- 1664226131 1664226131.157    

* 1664226132 1664226132.000    
- 1664226132 1664226132.062    
- 1664226132 1664226132.669    

* 1664226133 1664226133.000    
- 1664226133 1664226133.100    
- 1664226133 1664226133.110    
- 1664226133 1664226133.639    

* 1664226134 1664226134.000    

* 1664226135 1664226135.000    
- 1664226135 1664226135.162    
- 1664226135 1664226135.400    

* 1664226136 1664226136.000    

* 1664226137 1664226137.000    
- 1664226137 1664226137.512    

* 1664226138 1664226138.000    
- 1664226138 1664226138.549