timing: only queue when averaging, rephrase put calls

[libsigrokdecode.git] / decoders / timing / pd.py

##
## This file is part of the libsigrokdecode project.
##
## Copyright (C) 2014 Torsten Duwe <duwe@suse.de>
## Copyright (C) 2014 Sebastien Bourdelin <sebastien.bourdelin@savoirfairelinux.com>
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program; if not, see <http://www.gnu.org/licenses/>.
##

import sigrokdecode as srd
from collections import deque

class SamplerateError(Exception):
    pass

def normalize_time(t):
    if abs(t) >= 1.0:
        return '%.3f s  (%.3f Hz)' % (t, (1/t))
    elif abs(t) >= 0.001:
        if 1/t/1000 < 1:
            return '%.3f ms (%.3f Hz)' % (t * 1000.0, (1/t))
        else:
            return '%.3f ms (%.3f kHz)' % (t * 1000.0, (1/t)/1000)
    elif abs(t) >= 0.000001:
        if 1/t/1000/1000 < 1:
            return '%.3f μs (%.3f kHz)' % (t * 1000.0 * 1000.0, (1/t)/1000)
        else:
            return '%.3f μs (%.3f MHz)' % (t * 1000.0 * 1000.0, (1/t)/1000/1000)
    elif abs(t) >= 0.000000001:
        if 1/t/1000/1000/1000:
            return '%.3f ns (%.3f MHz)' % (t * 1000.0 * 1000.0 * 1000.0, (1/t)/1000/1000)
        else:
            return '%.3f ns (%.3f GHz)' % (t * 1000.0 * 1000.0 * 1000.0, (1/t)/1000/1000/1000)
    else:
        return '%f' % t

def terse_times(t):
    if abs(t) >= 1e0:
        t *= 1e0
        return ['{:.0f}s'.format(t), '{:.0f}'.format(t)]
    if abs(t) >= 1e-3:
        t *= 1e3
        return ['{:.0f}ms'.format(t), '{:.0f}'.format(t)]
    if abs(t) >= 1e-6:
        t *= 1e6
        return ['{:.0f}us'.format(t), '{:.0f}'.format(t)]
    if abs(t) >= 1e-9:
        t *= 1e9
        return ['{:.0f}ns'.format(t), '{:.0f}'.format(t)]
    return ['{:f}'.format(t = t)]

class Pin:
    (DATA,) = range(1)

class Ann:
    (TIME, TERSE, AVG, DELTA,) = range(4)

class Decoder(srd.Decoder):
    api_version = 3
    id = 'timing'
    name = 'Timing'
    longname = 'Timing calculation with frequency and averaging'
    desc = 'Calculate time between edges.'
    license = 'gplv2+'
    inputs = ['logic']
    outputs = []
    tags = ['Clock/timing', 'Util']
    channels = (
        {'id': 'data', 'name': 'Data', 'desc': 'Data line'},
    )
    annotations = (
        ('time', 'Time'),
        ('terse', 'Terse'),
        ('average', 'Average'),
        ('delta', 'Delta'),
    )
    annotation_rows = (
        ('times', 'Times', (Ann.TIME, Ann.TERSE,)),
        ('averages', 'Averages', (Ann.AVG,)),
        ('deltas', 'Deltas', (Ann.DELTA,)),
    )
    options = (
        { 'id': 'avg_period', 'desc': 'Averaging period', 'default': 100 },
        { 'id': 'edge', 'desc': 'Edges to check', 'default': 'any', 'values': ('any', 'rising', 'falling') },
        { 'id': 'delta', 'desc': 'Show delta from last', 'default': 'no', 'values': ('yes', 'no') },
        { 'id': 'terse', 'desc': 'Show periods in terse format', 'default': 'no', 'values': ('yes', 'no') },
    )

    def __init__(self):
        self.reset()

    def reset(self):
        self.samplerate = None

    def metadata(self, key, value):
        if key == srd.SRD_CONF_SAMPLERATE:
            self.samplerate = value

    def start(self):
        self.out_ann = self.register(srd.OUTPUT_ANN)

    def decode(self):
        if not self.samplerate:
            raise SamplerateError('Cannot decode without samplerate.')
        edge = self.options['edge']
        avg_period = self.options['avg_period']
        delta = self.options['delta'] == 'yes'
        terse = self.options['terse'] == 'yes'
        ss = None
        last_n = deque()
        last_t = None
        while True:
            if edge == 'rising':
                pin = self.wait({Pin.DATA: 'r'})
            elif edge == 'falling':
                pin = self.wait({Pin.DATA: 'f'})
            else:
                pin = self.wait({Pin.DATA: 'e'})

            if not ss:
                ss = self.samplenum
                continue
            es = self.samplenum
            samples = es - ss
            t = samples / self.samplerate

            if terse:
                cls, txt = Ann.TERSE, terse_times(t)
                self.put(ss, es, self.out_ann, [cls, txt])
            else:
                cls, txt = Ann.TIME, [normalize_time(t)]
                self.put(ss, es, self.out_ann, [cls, txt])
            if avg_period > 0:
                if t > 0:
                    last_n.append(t)
                if len(last_n) > avg_period:
                    last_n.popleft()
                average = sum(last_n) / len(last_n)
                cls, txt = Ann.AVG, normalize_time(average)
                self.put(ss, es, self.out_ann, [cls, [txt]])
            if last_t and delta:
                cls, txt = Ann.DELTA, normalize_time(t - last_t)
                self.put(ss, es, self.out_ann, [cls, [txt]])

            last_t = t
            ss = es