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