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group audio writers by interval

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This commit is contained in:
Jakob Ketterl 2021-04-09 20:15:03 +02:00
parent 9c4d7377d0
commit e210c3a667
1 changed files with 85 additions and 53 deletions
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138
owrx/audio/__init__.py
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@ -9,6 +9,7 @@ import os
from multiprocessing.connection import Pipe, wait
from datetime import datetime, timedelta
from queue import Queue, Full, Empty
from itertools import groupby
import logging
@ -17,13 +18,36 @@ logger.setLevel(logging.INFO)
class QueueJob(object):
def __init__(self, decoder, file, freq):
self.decoder = decoder
def __init__(self, profile, writer, file, freq):
self.profile = profile
self.writer = writer
self.file = file
self.freq = freq
def run(self):
self.decoder.decode(self)
logger.debug("processing file %s", self.file)
tmp_dir = CoreConfig().get_temporary_directory()
decoder = subprocess.Popen(
["nice", "-n", "10"] + self.profile.decoder_commandline(self.file),
stdout=subprocess.PIPE,
cwd=tmp_dir,
close_fds=True,
)
try:
for line in decoder.stdout:
self.writer.send((self.profile, self.freq, line))
except (OSError, AttributeError):
decoder.stdout.flush()
# TODO uncouple parsing from the output so that decodes can still go to the map and the spotters
logger.debug("output has gone away while decoding job.")
try:
rc = decoder.wait(timeout=10)
if rc != 0:
raise RuntimeError("decoder return code: {0}".format(rc))
except subprocess.TimeoutExpired:
logger.warning("subprocess (pid=%i}) did not terminate correctly; sending kill signal.", decoder.pid)
decoder.kill()
raise
def unlink(self):
try:
@ -167,35 +191,52 @@ class AudioChopperProfile(ABC):
pass
class WaveFile(object):
def __init__(self, filename):
self.filename = filename
self.waveFile = wave.open(filename, "wb")
self.waveFile.setnchannels(1)
self.waveFile.setsampwidth(2)
self.waveFile.setframerate(12000)
def close(self):
self.waveFile.close()
def getFileName(self):
return self.filename
def writeframes(self, data):
return self.waveFile.writeframes(data)
def unlink(self):
os.unlink(self.filename)
self.waveFile = None
class AudioWriter(object):
def __init__(self, active_dsp, profile: AudioChopperProfile):
def __init__(self, active_dsp, interval, profiles: list[AudioChopperProfile]):
self.dsp = active_dsp
self.profile = profile
self.tmp_dir = CoreConfig().get_temporary_directory()
self.interval = interval
self.profiles = profiles
self.wavefile = None
self.wavefilename = None
self.switchingLock = threading.Lock()
self.timer = None
(self.outputReader, self.outputWriter) = Pipe()
def getWaveFile(self):
filename = "{tmp_dir}/openwebrx-audiochopper-{id}-{timestamp}.wav".format(
tmp_dir=self.tmp_dir,
tmp_dir = CoreConfig().get_temporary_directory()
filename = "{tmp_dir}/openwebrx-audiochopper-master-{id}-{timestamp}.wav".format(
tmp_dir=tmp_dir,
id=id(self),
timestamp=datetime.utcnow().strftime(self.profile.getFileTimestampFormat()),
timestamp=datetime.utcnow().strftime("%y%m%d_%H%M%S"),
)
wavefile = wave.open(filename, "wb")
wavefile.setnchannels(1)
wavefile.setsampwidth(2)
wavefile.setframerate(12000)
return filename, wavefile
return WaveFile(filename)
def getNextDecodingTime(self):
t = datetime.utcnow()
zeroed = t.replace(minute=0, second=0, microsecond=0)
delta = t - zeroed
interval = self.profile.getInterval()
seconds = (int(delta.total_seconds() / interval) + 1) * interval
seconds = (int(delta.total_seconds() / self.interval) + 1) * self.interval
t = zeroed + timedelta(seconds=seconds)
logger.debug("scheduling: {0}".format(t))
return t
@ -214,44 +255,34 @@ class AudioWriter(object):
def switchFiles(self):
with self.switchingLock:
file = self.wavefile
filename = self.wavefilename
(self.wavefilename, self.wavefile) = self.getWaveFile()
self.wavefile = self.getWaveFile()
file.close()
job = QueueJob(self, filename, self.dsp.get_operating_freq())
try:
DecoderQueue.getSharedInstance().put(job)
except Full:
logger.warning("decoding queue overflow; dropping one file")
job.unlink()
for profile in self.profiles:
tmp_dir = CoreConfig().get_temporary_directory()
# create hardlinks for the individual profiles
filename = "{tmp_dir}/openwebrx-audiochopper-{pid}-{timestamp}.wav".format(
tmp_dir=tmp_dir,
pid=id(profile),
timestamp=datetime.utcnow().strftime(profile.getFileTimestampFormat()),
)
os.link(file.getFileName(), filename)
job = QueueJob(profile, self.outputWriter, filename, self.dsp.get_operating_freq())
try:
DecoderQueue.getSharedInstance().put(job)
except Full:
logger.warning("decoding queue overflow; dropping one file")
job.unlink()
# our master can be deleted now, the profiles will delete their hardlinked copies after processing
file.unlink()
self._scheduleNextSwitch()
def decode(self, job: QueueJob):
logger.debug("processing file %s", job.file)
decoder = subprocess.Popen(
["nice", "-n", "10"] + self.profile.decoder_commandline(job.file),
stdout=subprocess.PIPE,
cwd=self.tmp_dir,
close_fds=True,
)
try:
for line in decoder.stdout:
self.outputWriter.send((self.profile, job.freq, line))
except (OSError, AttributeError):
decoder.stdout.flush()
# TODO uncouple parsing from the output so that decodes can still go to the map and the spotters
logger.debug("output has gone away while decoding job.")
try:
rc = decoder.wait(timeout=10)
if rc != 0:
raise RuntimeError("decoder return code: {0}".format(rc))
except subprocess.TimeoutExpired:
logger.warning("subprocess (pid=%i}) did not terminate correctly; sending kill signal.", decoder.pid)
decoder.kill()
raise
def start(self):
(self.wavefilename, self.wavefile) = self.getWaveFile()
self.wavefile = self.getWaveFile()
self._scheduleNextSwitch()
def write(self, data):
@ -279,17 +310,18 @@ class AudioWriter(object):
logger.exception("error closing wave file")
try:
with self.switchingLock:
os.unlink(self.wavefilename)
self.wavefile.unlink()
except Exception:
logger.exception("error removing undecoded file")
self.wavefile = None
self.wavefilename = None
class AudioChopper(threading.Thread, metaclass=ABCMeta):
def __init__(self, active_dsp, readfn: callable, *profiles: AudioChopperProfile):
sorted_profiles = sorted(profiles, key=lambda p: p.getInterval())
groups = {interval: list(group) for interval, group in groupby(sorted_profiles, key=lambda p: p.getInterval())}
self.readfn = readfn
self.writers = [AudioWriter(active_dsp, p) for p in profiles]
self.writers = [AudioWriter(active_dsp, interval, profiles) for interval, profiles in groups.items()]
self.doRun = True
super().__init__()