308 lines
9.5 KiB
Python
308 lines
9.5 KiB
Python
#!/usr/bin/python3.8
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# -*- coding: utf-8 -*-
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"""
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Read data from stream and record sound and video at the same time
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"""
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import dataclasses, logging, os, time, h5py, threading
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import numpy as np
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from .lasp_atomic import Atomic
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from .lasp_cpp import InDataHandler, StreamMgr
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from .lasp_version import LASP_VERSION_MAJOR, LASP_VERSION_MINOR
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import uuid
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@dataclasses.dataclass
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class RecordStatus:
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curT: float = 0
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done: bool = False
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class Recording:
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"""
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Class used to perform a recording. Recording data can come in from a
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different thread, that is supposed to call the `inCallback` method, with
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audio data as an argument.
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"""
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def __init__(
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self,
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fn: str,
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streammgr: StreamMgr,
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rectime: float = None,
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wait: bool = True,
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progressCallback=None,
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startDelay: float = 0,
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):
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"""
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Start a recording. Blocks if wait is set to True.
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Args:
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fn: Filename to record to. Extension is automatically added if not
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provided.
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stream: AvStream instance to record from. Should have input
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channels!
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rectime: Recording time [s], None for infinite, in seconds. If set
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to None, or np.inf, the recording continues indefintely.
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progressCallback: callable that is called with an instance of
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RecordStatus instance as argument.
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startDelay: Optional delay added before the recording is *actually*
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started in [s].
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"""
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ext = ".h5"
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if ext not in fn:
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fn += ext
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self.smgr = streammgr
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self.metadata = None
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if startDelay < 0:
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raise RuntimeError("Invalid start delay value. Should be >= 0")
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self.startDelay = startDelay
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# Flag used to indicate that we have passed the start delay
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self.startDelay_passed = False
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# The amount of seconds (float) that is to be recorded
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self.rectime = rectime
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# The file name to store data to
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self.fn = fn
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self.curT_rounded_to_seconds = 0
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# Counter of the number of blocks
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self.ablockno = Atomic(0)
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# Stop flag, set when recording is finished.
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self.stop = Atomic(False)
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# Mutex, on who is working with the H5py data
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self.file_mtx = threading.Lock()
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self.progressCallback = progressCallback
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try:
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# Open the file
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self.f = h5py.File(self.fn, "w", "stdio")
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self.f.flush()
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except Exception as e:
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logging.error(f"Error creating measurement file {e}")
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raise
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# This flag is used to delete the file on finish(), and can be used
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# when a recording is canceled.
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self.deleteFile = False
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# Try to obtain stream metadata
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streamstatus = streammgr.getStreamStatus(StreamMgr.StreamType.input)
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if not streamstatus.runningOK():
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raise RuntimeError(
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"Stream is not running properly. Please first start the stream"
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)
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self.ad = None
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logging.debug("Starting record....")
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self.indh = InDataHandler(streammgr, self.inCallback, self.resetCallback)
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if wait:
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logging.debug("Stop recording with CTRL-C")
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try:
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while not self.stop():
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time.sleep(0.01)
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except KeyboardInterrupt:
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logging.debug("Keyboard interrupt on record")
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finally:
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self.finish()
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def resetCallback(self, daq):
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"""
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Function called with initial stream data.
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"""
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with self.file_mtx:
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in_ch = daq.enabledInChannels()
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blocksize = daq.framesPerBlock()
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self.blocksize = blocksize
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self.nchannels = daq.neninchannels()
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self.fs = daq.samplerate()
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f = self.f
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f.attrs["LASP_VERSION_MAJOR"] = LASP_VERSION_MAJOR
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f.attrs["LASP_VERSION_MINOR"] = LASP_VERSION_MINOR
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# Set the bunch of attributes
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f.attrs["samplerate"] = daq.samplerate()
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f.attrs["nchannels"] = daq.neninchannels()
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f.attrs["blocksize"] = blocksize
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f.attrs["sensitivity"] = [ch.sensitivity for ch in in_ch]
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f.attrs["channelNames"] = [ch.name for ch in in_ch]
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f.attrs["UUID"] = str(uuid.uuid1())
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# Add the start delay here, as firstFrames() is called right after the
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# constructor is called. time.time() returns a floating point
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# number of seconds after epoch.
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f.attrs["time"] = time.time() + self.startDelay
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# In V2, we do not store JSON metadata anymore, but just an enumeration
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# index to a physical quantity.
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f.attrs["qtys_enum_idx"] = [ch.qty.value for ch in in_ch]
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# Measured physical quantity metadata
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# This was how it was in LASP version < 1.0
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# f.attrs['qtys'] = [ch.qty.to_json() for ch in in_ch]
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f.flush()
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def firstFrames(self, adata):
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"""
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Set up the dataset in which to store the audio data. This will create
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the attribute `self.ad`
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Args:
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adata: Numpy array with data from DAQ
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"""
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# The array data type cannot
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# datatype = daq.dataType()
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dtype = np.dtype(adata.dtype)
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self.ad = self.f.create_dataset(
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"audio",
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(1, self.blocksize, self.nchannels),
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dtype=dtype,
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maxshape=(
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None, # This means, we can add blocks
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# indefinitely
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self.blocksize,
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self.nchannels,
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),
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compression="gzip",
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)
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self.f.flush()
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def inCallback(self, adata):
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"""
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This method is called when a block of audio data from the stream is
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available. It should return either True or False.
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When returning False, it will stop the stream.
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"""
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if self.stop():
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logging.debug("Stop flag set, early return in inCallback")
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# Stop flag is raised. We do not add any data anymore.
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return True
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with self.file_mtx:
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if self.ad is None:
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self.firstFrames(adata)
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self.__addTimeData(adata)
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return True
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def setDelete(self, val: bool):
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"""
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Set the delete flag. If set, measurement file is deleted at the end of
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the recording. Typically used for cleaning up after canceling a
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recording.
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"""
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with self.file_mtx:
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self.deleteFile = val
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def finish(self):
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"""
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This method should be called to finish and a close a recording file,
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remove the queue from the stream, etc.
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"""
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logging.debug("Recording::finish()")
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self.stop <<= True
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with self.file_mtx:
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self.f.flush()
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# Remove indata handler, which also should remove callback function
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# from StreamMgr. This, however does not have to happen
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# instantaneously. For which we have to implement extra mutex
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# guards in this class
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del self.indh
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self.indh = None
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# Remove handle to dataset otherwise the h5 file is not closed
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# properly.
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del self.ad
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self.ad = None
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try:
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# Close the recording file
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self.f.close()
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del self.f
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except Exception as e:
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logging.error(f"Error closing file: {e}")
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logging.debug("Recording ended")
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if self.deleteFile:
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self.__deleteFile()
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def __deleteFile(self):
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"""
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Cleanup the recording file.
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"""
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try:
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os.remove(self.fn)
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except Exception as e:
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logging.error(f"Error deleting file: {self.fn}: {str(e)}")
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def __addTimeData(self, indata):
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"""
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Called by handleQueue() and adds new time data to the storage file.
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"""
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# logging.debug('Recording::__addTimeData()')
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curT = self.ablockno() * self.blocksize / self.fs
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# Increase the block counter
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self.ablockno += 1
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if curT < self.startDelay and not self.startDelay_passed:
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# Start delay has not been passed
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return
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elif curT >= 0 and not self.startDelay_passed:
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# Start delay passed, switch the flag!
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self.startDelay_passed = True
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# Reset the audio block counter and the recording time
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self.ablockno = Atomic(1)
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curT = 0
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ablockno = self.ablockno()
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recstatus = RecordStatus(curT=curT, done=False)
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if self.progressCallback is not None:
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self.progressCallback(recstatus)
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curT_rounded_to_seconds = int(curT)
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if curT_rounded_to_seconds > self.curT_rounded_to_seconds:
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self.curT_rounded_to_seconds = curT_rounded_to_seconds
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print(f"{curT_rounded_to_seconds}", end="", flush=True)
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else:
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print(".", end="", flush=True)
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if self.rectime is not None and curT > self.rectime:
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# We are done!
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if self.progressCallback is not None:
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recstatus.done = True
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self.progressCallback(recstatus)
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self.stop <<= True
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return
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# Add the data to the file, and resize the audio data blocks
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self.ad.resize(ablockno, axis=0)
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self.ad[ablockno - 1, :, :] = indata
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self.f.flush()
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