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wasp-os/wasp/steplogger.py

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# SPDX-License-Identifier: LGPL-3.0-or-later
# Copyright (C) 2020 Daniel Thompson
"""Step logger
~~~~~~~~~~~~~~
Capture and record data from the step counter
"""
import array
import os
import time
import wasp
from micropython import const
TICK_PERIOD = const(6 * 60)
DUMP_LENGTH = const(5)
DUMP_PERIOD = const(DUMP_LENGTH * TICK_PERIOD)
class StepLogger:
def __init__(self):
self._data = array.array('H', (0,) * DUMP_LENGTH)
self._steps = wasp.watch.accel.steps
try:
os.mkdir('logs')
except:
pass
# Queue a tick
self._t = int(wasp.watch.rtc.time()) // TICK_PERIOD * TICK_PERIOD
wasp.system.set_alarm(self._t + TICK_PERIOD, self._tick)
def _tick(self):
"""Capture the current step count in N minute intervals.
The samples are queued in a small RAM buffer in order to reduce
the number of flash access. The data is written out every few hours
in a binary format ready to be reloaded and graphed when it is
needed.
"""
t = self._t
# Work out where we are in the dump period
i = t % DUMP_PERIOD // TICK_PERIOD
# Get the current step count and record it
steps = wasp.watch.accel.steps
self._data[i] = steps - self._steps
self._steps = steps
# Queue the next tick
wasp.system.set_alarm(t + TICK_PERIOD, self._tick)
self._t += TICK_PERIOD
if i < (DUMP_LENGTH-1):
return
# Record the data in the flash
walltime = time.localtime(t)
yyyy = walltime[0]
mm = walltime[1]
dd = walltime[2]
# Find when (in seconds) "today" started
then = int(time.mktime((yyyy, mm, dd, 0, 0, 0, 0, 0, 0)))
elapsed = t - then
# Work out how dumps we expect to find in today's dumpfile
dump_num = elapsed // DUMP_PERIOD
# Update the log data
try:
os.mkdir('logs/' + str(yyyy))
except:
pass
fname = 'logs/{}/{:02d}-{:02d}.steps'.format(yyyy, mm, dd)
offset = dump_num * DUMP_LENGTH * 2
try:
sz = os.stat(fname)[6]
except:
sz = 0
f = open(fname, 'ab')
# This is a portable (between real Python and MicroPython) way to
# grow the file to the right size.
f.seek(min(sz, offset))
for _ in range(sz, offset, 2):
f.write(b'\x00\x00')
f.write(self._data)
f.close()
# Wipe the data
data = self._data
for i in range(DUMP_LENGTH):
data[i] = 0