summaryrefslogtreecommitdiff
path: root/wasp/steplogger.py
blob: c008d8e127fca3e33f6906f566dbba7ab6c79029 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
# 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(30)
DUMP_PERIOD = const(DUMP_LENGTH * TICK_PERIOD)

class StepIterator:
    def __init__(self, fname, data=None):
        self._fname = fname
        self._f = None
        self._d = data

    def __del__(self):
        self.close()

    def __iter__(self):
        self.close()
        self._f = open(self._fname, 'rb')
        self._c = 0
        return self

    def __next__(self):
        self._c += 1
        if self._c > (24*60*60) // TICK_PERIOD:
            raise StopIteration

        if self._f:
            spl = self._f.read(2)
            if spl:
                return spl[0] + (spl[1] << 8)
            self.close()
            self._i = 0

        if self._d and self._i < len(self._d):
            i = self._i
            self._i += 1
            return self._d[i]

        return 0

    def close(self):
        if self._f:
            self._f.close()
            self._f = None

class StepLogger:
    def __init__(self, manager):
        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
        manager.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

    def data(self, t):
        try:
            yyyy = t[0]
        except:
            t = time.localtime(t)
            yyyy = t[0]
        mm = t[1]
        dd = t[2]

        fname = 'logs/{}/{:02d}-{:02d}.steps'.format(yyyy, mm, dd)
        try:
            os.stat(fname)
        except:
            return None

        # Record the data in the flash
        now = time.localtime(self._t)
        if now[:3] == t[:3]:
            latest = self._data

            # Work out where we are in the dump period and update
            # with the latest counts
            i = self._t % DUMP_PERIOD // TICK_PERIOD
            latest[i] = wasp.watch.accel.steps - self._steps
        else:
            latest = None

        return StepIterator(fname, latest)