class BaseChannel:
"""
Base class to implement a channel
"""
def __init__(self, channel, channel_name):
self._thread = None
self._stop = False
self._channel = channel
self._data = np.zeros(0)
self.sample_readies = 0
self.enabled = True
# Create the task
self._task = Task('task' + channel_name)
# Configure reader.
self._task.in_stream.read_all_avail_samp = True
self._reader = CounterReader(self._task.in_stream)
# Configure timing
def __del__(self):
self._task.close()
def start(self, samples):
self._task.stop()
self._data = np.zeros(samples)
self.sample_readies = 0
if not self.enabled:
return
if samples == 1:
self._task.timing.samp_quant_samp_per_chan = 2
else:
self._task.timing.samp_quant_samp_per_chan = samples
self._stop = False
self._thread = threading.Thread(target=self._read, args=[samples])
self._task.start()
self._thread.start()
@property
def data(self):
return self._data[:self.sample_readies]
@property
def done(self):
return self._task.is_task_done()
def stop(self):
self._stop = True
self._task.stop()
def _read(self, samples):
i = 0
while not self._stop and samples != 0:
self._data[i] = self._reader.read_one_sample_double(timeout=-1)
i += 1
samples -= 1
self.sample_readies += 1
self._task.stop()
class PulseGenerator:
def __init__(self, channel, start_src=None):
self._task = None
self._channel = channel
# TODO implement external start
def __del__(self):
if self._task is not None:
self._task.close()
def start(self, samples, high_time, low_time, initial_delay=0):
if self._task is not None:
self._task.close()
self._task = Task('timer')
self._timer = self._task.co_channels.add_co_pulse_chan_time(
self._channel,
high_time=high_time,
low_time=low_time,
initial_delay=initial_delay)
self._task.timing.samp_quant_samp_per_chan = samples
self._task.timing.samp_timing_type = SampleTimingType.IMPLICIT
self._task.start()
def stop(self):
self._task.stop()
@property
def done(self):
return self._task.is_task_done()
class PulseCounter:
"""
Class to implement a pulse counter
"""
def __init__(self,
channel,
channel_name,
gate_src,
timebase_src,
edge=Edge.RISING):
self._data = None
self.sample_readies = 0
self._channel = channel
self._task = Task('task' + channel_name)
self._counter = self._task.ci_channels.add_ci_pulse_width_chan(
channel, channel_name, units=TimeUnits.TICKS, starting_edge=edge)
self._counter.ci_ctr_timebase_src = timebase_src
self._counter.ci_pulse_width_term = gate_src
self._task.in_stream.read_all_avail_samp = True
self._reader = CounterReader(self._task.in_stream)
self._thread = None
self._stop = False
def __del__(self):
self._task.close()
def start(self, samples):
self._data = np.zeros(samples)
self._task.stop()
self._data = np.zeros(samples)
self._task.timing.samp_quant_samp_per_chan = samples
self._task.timing.samp_timing_type = SampleTimingType.IMPLICIT
self._counter.ci_data_xfer_mech = \
DataTransferActiveTransferMode.INTERRUPT
self._thread = threading.Thread(target=self._read, args=[samples])
self._task.start()
self._stop = False
self._thread.start()
@property
def done(self):
return self._task.is_task_done()
def stop(self):
self._stop = True
self._task.stop()
def _read(self, samples):
i = 0
while not self._stop and samples != 0:
self._data[i] = self._reader.read_one_sample_double(timeout=-1)
i += 1
samples -= 1
@property
def data(self):
return self._data
class DAQmxSystem(AcquisitionCard):
def __init__(self):
super(DAQmxSystem, self).__init__()
self.task = Task()
self.reading = False
self.stop_lock = asyncio.Lock()
self.read_lock = asyncio.Lock()
@property
def samp_clk_max_rate(self):
return self.task.timing.samp_clk_max_rate
def possible_trigger_channels(self):
return [chan.name for chan in self.channels]
def close(self):
if self.task:
self.channels = []
self.task.close()
self.task = None
def add_channel(self, channel_name, terminal_config, voltage_range):
tc = ConcreteTerminalConfig[terminal_config]
ai_chan = self.task.ai_channels.add_ai_voltage_chan(
channel_name,
terminal_config=tc,
min_val=-voltage_range,
max_val=voltage_range,
)
self.channels.append(ai_chan)
self.actual_ranges.append(ai_chan.ai_max)
def configure_clock(self, sample_rate, samples_per_chan):
self.task.timing.cfg_samp_clk_timing(sample_rate,
samps_per_chan=samples_per_chan)
self.sample_rate = sample_rate
self.samples_per_chan = samples_per_chan
def configure_trigger(
self,
trigger_source=None,
trigger_level=0,
trigger_config=TriggerConfig.EdgeRising,
):
st = self.task.triggers.start_trigger
if trigger_source is None:
print("disable_start_trig")
st.disable_start_trig()
else:
if trigger_config != TriggerConfig.EdgeRising:
raise NotImplementedError() # TODO
print(
f"cfg_anlg_edge_start_trig({trigger_source:}, {trigger_level:})"
)
st.cfg_anlg_edge_start_trig(trigger_source,
trigger_level=trigger_level)
def start(self):
self.task.start()
self.running = True
async def stop(self):
async with self.stop_lock:
if self.running:
self.running = False
while self.reading:
await asyncio.sleep(1.0)
self.task.stop()
async def read(self, tmo=None):
async with self.read_lock:
self.reading = True
done = False
start = time.monotonic()
while self.running:
try:
await self.loop.run_in_executor(None,
self.task.wait_until_done,
1.0)
except DaqError:
if tmo and time.monotonic() - start > tmo:
raise TimeoutException()
else:
continue
done = True
break
if done and self.running:
data = await self.loop.run_in_executor(None, self.task.read,
READ_ALL_AVAILABLE)
self.last_read = time.monotonic()
data = np.array(data)
else:
data = None
self.reading = False
return data
class DAQmxSystem(AcquisitionCard):
"""This class is the concrete implementation for NI DAQmx board using
the :mod:`nidaqmx` module.
"""
def __init__(self):
"""Constructor method
"""
super(DAQmxSystem, self).__init__()
self.task = Task()
self.reading = False
self.stop_lock = asyncio.Lock()
self.read_lock = asyncio.Lock()
@property
def samp_clk_max_rate(self):
"""Maximum sample clock rate
"""
return self.task.timing.samp_clk_max_rate
def possible_trigger_channels(self):
"""This method returns the list of channels that can be used as trigger.
"""
return [chan.name for chan in self.channels]
def close(self):
"""This method closes the active task, if there is one.
"""
if self.task:
self.channels = []
self.task.close()
self.task = None
def add_channel(self, channel_name, terminal_config, voltage_range):
"""Concrete implementation of :meth:`pymanip.aiodaq.AcquisitionCard.add_channel`.
.. todo::
Actually check the type for terminal_config.
"""
tc = ConcreteTerminalConfig[terminal_config]
ai_chan = self.task.ai_channels.add_ai_voltage_chan(
channel_name,
terminal_config=tc,
min_val=-voltage_range,
max_val=voltage_range,
)
self.channels.append(ai_chan)
self.actual_ranges.append(ai_chan.ai_max)
def configure_clock(self, sample_rate, samples_per_chan):
"""Concrete implementation of :meth:`pymanip.aiodaq.AcquisitionCard.configure_clock`
"""
self.task.timing.cfg_samp_clk_timing(sample_rate,
samps_per_chan=samples_per_chan)
self.sample_rate = sample_rate
self.samples_per_chan = samples_per_chan
def configure_trigger(
self,
trigger_source=None,
trigger_level=0,
trigger_config=TriggerConfig.EdgeRising,
):
"""Concrete implementation of :meth:`pymanip.aiodaq.AcquisitionCard.configure_trigger`
.. todo::
implement trigger_config other than the defaults value
"""
st = self.task.triggers.start_trigger
if trigger_source is None:
print("disable_start_trig")
st.disable_start_trig()
else:
if trigger_config != TriggerConfig.EdgeRising:
raise NotImplementedError() # TODO
print(
f"cfg_anlg_edge_start_trig({trigger_source:}, {trigger_level:})"
)
st.cfg_anlg_edge_start_trig(trigger_source,
trigger_level=trigger_level)
def start(self):
"""This method starts the task.
"""
self.task.start()
self.running = True
async def stop(self):
"""This asynchronous method aborts the current task.
"""
async with self.stop_lock:
if self.running:
self.running = False
while self.reading:
await asyncio.sleep(1.0)
self.task.stop()
async def read(self, tmo=None):
"""This asynchronous method reads data from the task.
"""
async with self.read_lock:
self.reading = True
done = False
start = time.monotonic()
while self.running:
try:
await self.loop.run_in_executor(None,
self.task.wait_until_done,
1.0)
except DaqError:
if tmo and time.monotonic() - start > tmo:
raise TimeoutException()
else:
continue
done = True
break
if done and self.running:
data = await self.loop.run_in_executor(None, self.task.read,
READ_ALL_AVAILABLE)
self.last_read = time.monotonic()
data = np.array(data)
else:
data = None
self.reading = False
return data
