def wait_for_roughness(target_roughness, time_limit=None):
## connect to publisher
monitor_socket = connect_to('spectrometer')
# Stay at temperature until roughness drops
buff = []
start = time.monotonic()
while True:
_, data = monitor_socket.blocking_read()
roughness = data['rough']['surf']
if roughness is None:
print('OceanFX is down!')
break
roughness = ufloat(*roughness)
print(f'\rRoughness: {display(roughness)} nm', end='')
# Keep rolling buffer
if roughness.n > 0:
buff.append(roughness.n)
buff = buff[-32:]
if np.mean(buff) < target_roughness:
print()
break
if time_limit is not None and time.monotonic() - start > time_limit:
print()
print('Time limit exceeded.')
break
monitor_socket.socket.close()
def music_scan(self, amplitude=1):
self.client_socket = connect_to('scope')
self.client_socket.make_connection()
self.model = MirrorModel()
input('Press enter once on pulse tube beat')
while True:
random.shuffle(songs)
for song in songs:
self.play_song(song, amplitude=amplitude)
# Sleep for one measure
time.sleep(SECONDS_PER_SIXTEENTH * 16)
def calibrate(
name,
time_limit=60,
show_plot=False,
):
print(f'Calibrating OceanFX {name} for {time_limit} seconds...')
# connect to publisher
monitor_socket = connect_to('spectrometer')
samples = []
start_time = time.monotonic()
for i in itertools.count():
_, data = monitor_socket.blocking_read()
print(f'\rSample {Style.BRIGHT}{i+1}{Style.RESET_ALL}', end='')
wavelengths = data['wavelengths']
spectrum = data['intensities']
samples.append(uarray(spectrum['nom'], spectrum['std']))
if time.monotonic() - start_time > time_limit: break
monitor_socket.socket.close()
spectrum = sum(samples) / len(samples)
print()
if show_plot:
print('Plotting...')
plot(wavelengths, spectrum, continuous=True)
plt.xlim(300, 900)
plt.xlabel('Wavelength (nm)')
plt.ylabel('Intensity (%)')
plt.title(name)
plt.show()
print(f'Saving {name} OceanFX calibration...')
np.savetxt(f'calibration/{name}.txt', [nom(spectrum), std(spectrum)])
print('Done.')
plume_size = 200
print('Initializing cameras...')
if 'plume' in SHOW_CAMERAS:
plume_camera = Camera(0)
plume_camera.init()
plume_camera.start()
if 'cbs' in SHOW_CAMERAS:
plt.ion()
fig = plt.figure()
## connect
print('Connecting to publisher...')
fringe_socket = connect_to('camera')
cbs_socket = connect_to('cbs-camera')
webcam_socket = connect_to('webcam')
def from_png(buff, color=False):
png = np.frombuffer(buff, dtype=np.uint8)
return cv2.imdecode(png, int(color))
print('Starting.')
start = time.monotonic()
while True:
timestamp = f'[{time.monotonic() - start:.3f}]'
if 'fringe' in SHOW_CAMERAS:
from uncertainties import ufloat
from headers.oceanfx import OceanFX, roughness_model
from headers.zmq_client_socket import connect_to
from headers.util import plot, uarray, nom
## SETTINGS ##
PLOT_TRANSMISSION = False
LOG_SCALE = True
## connect to publisher (spectrometer data)
monitor_socket = connect_to('spectrometer')
spec = OceanFX()
# Liveplot
plt.ion()
fig = plt.figure()
while True:
# Get data
_, data = monitor_socket.grab_json_data()
if data is not None:
# Unpack + convert data
wavelengths = np.array(data['wavelengths'])
intensities = data['intensities']
from headers.zmq_client_socket import connect_to
ROOT_DIR = Path('~/Desktop/edm_data/logs/system_logs/').expanduser()
if not ROOT_DIR.exists(): ROOT_DIR.mkdir(parents=True, exist_ok=True)
continuous_log_file = ROOT_DIR / 'continuous.txt'
def log_file():
"""Return the current log file. Will change at midnight."""
return ROOT_DIR / (time.strftime('%Y-%m-%d') + '.txt')
## connect
monitor_socket = connect_to('edm-monitor')
## for tracking neon usage
last_neon = None
def update_neon_remaining(data):
global last_neon
# Subtract offset and scale by calibration factors
buffer_flow = (data['flows']['cell'][0] - 0.02) * 1.46/1.39
neon_flow = (data['flows']['neon'][0] - 0.005) * 1.46
# Prevent drift
if buffer_flow < 0.2: buffer_flow = 0
if neon_flow < 0.2: neon_flow = 0
async def run_publisher():
print('Initializing devices...')
pressure_gauge = FRG730()
thermometers = [(CTC100(31415), ['saph', 'coll', 'bott hs',
'cell'], ['heat saph', 'heat coll']),
(CTC100(31416),
['srb4k', 'srb45k', '45k plate',
'4k plate'], ['srb45k out', 'srb4k out'])]
labjack = Labjack('470022275')
mfc = MFC(31417)
wm = WM(
publish=False
) #wavemeter class used for reading frequencies from high finesse wavemeter
pt = PulseTube()
camera = Camera(1)
camera.init()
try:
camera.start()
except:
pass
camera.GainAuto = 'Off'
camera.Gain = 10
camera.ExposureAuto = 'Off'
camera_publisher = create_server('camera')
turbo = TurboPump()
pt_last_off = time.monotonic()
heaters_last_safe = time.monotonic()
try:
cbs_cam = Ximea(exposure=1e6)
cbs_cam.set_roi(500, 500, 700, 700)
except:
cbs_cam = None
print(f'{Fore.RED}ERROR: Ximea camera is unplugged!{Style.RESET_ALL}')
cbs_publisher = create_server('cbs-camera')
spectrometer_monitor = connect_to('spectrometer')
print('Starting publisher')
publisher_start = time.monotonic()
loop = asyncio.get_running_loop()
run_async = lambda f: loop.run_in_executor(None, f)
try:
with create_server('edm-monitor') as publisher:
rough = {}
trans = {}
for loop_iteration in itertools.count(1):
loop_start = time.monotonic()
async_getters = []
times = {}
##### Read pressure gauge (Async) #####
chamber_pressure = None
def pressure_getter():
nonlocal chamber_pressure, times
with Timer('pressure', times):
chamber_pressure = pressure_gauge.pressure
async_getters.append(run_async(pressure_getter))
##### Read CTC100 Temperatures + Heaters (Async) #####
temperatures = {}
heaters = {}
async def CTC_getter(thermometer):
"""Record data from the given thermometer."""
obj, temp_channels, heater_channels = thermometer
with Timer(f'CTC{obj._address[1]}', times):
for channel in temp_channels:
temperatures[channel] = await obj.async_read(
channel)
for channel in heater_channels:
heaters[channel] = await obj.async_read(channel)
async_getters.extend(
[CTC_getter(thermometer) for thermometer in thermometers])
##### Read MFC Flows (Async) #####
flows = {}
async def flow_getter():
"""Record the flow rates from the MFC."""
with Timer('MFC', times):
flows['cell'] = deconstruct(
await mfc.async_get_flow_rate_cell())
flows['neon'] = deconstruct(
await mfc.async_get_flow_rate_neon_line())
async_getters.append(flow_getter())
##### Read wavemeter frequencies (Async) #####
frequencies = {}
async def frequency_getter():
"""Record the frequencies from the wavemeter."""
with Timer('wavemeter', times):
frequencies['baf'] = await with_uncertainty(
lambda: wm.read_frequency(8))
frequencies['calcium'] = await with_uncertainty(
lambda: wm.read_frequency(6))
async_getters.append(frequency_getter())
##### Read Camera (Async) #####
center = {}
refl = {}
png = {}
def camera_getter():
camera_samples = []
with Timer('camera', times):
exposure = camera.ExposureTime
image = None
while True:
capture_start = time.monotonic()
sample = camera.get_array()
capture_time = time.monotonic() - capture_start
camera_samples.append(fit_image(sample))
if image is None: image = sample
# Clear buffer (force new acquisition)
if capture_time > 20e-3: break
# Track fringes
fringe_model.update(image, exposure)
center_x, center_y, cam_refl, saturation = [
unweighted_mean(arr)
for arr in np.array(camera_samples).T
]
cam_refl *= 1500 / exposure
# Downsample if 16-bit
if isinstance(image[0][0], np.uint16):
image = (image / 256 + 0.5).astype(np.uint8)
# Save images
png['raw'] = cv2.imencode('.png', image)[1].tobytes()
png['fringe'] = cv2.imencode(
'.png', fringe_model.scaled_pattern)[1].tobytes()
png['fringe-annotated'] = cv2.imencode(
'.png',
fringe_model.annotated_pattern)[1].tobytes()
# Store data
center['x'] = deconstruct(center_x)
center['y'] = deconstruct(center_y)
center['saturation'] = deconstruct(saturation)
center['exposure'] = exposure
refl['cam'] = deconstruct(2 * cam_refl)
refl['ai'] = deconstruct(fringe_model.reflection)
if saturation.n > 99: camera.ExposureTime = exposure // 2
if saturation.n < 30: camera.ExposureTime = exposure * 2
async_getters.append(run_async(camera_getter))
##### Read turbo status (Async) #####
pt_on = pt.is_on()
running = {'pt': pt_on}
async def turbo_getter():
"""Record the operational status of the turbo pump."""
with Timer('turbo', times):
status = await turbo.async_operation_status()
running['turbo'] = (status == 'normal')
async_getters.append(turbo_getter())
##### Read labjack (Async) #####
intensities = {}
def labjack_getter():
with Timer('labjack', times):
intensities['broadband'] = deconstruct(
labjack.read('AIN0'))
# intensities['hene'] = deconstruct(labjack.read('AIN1'))
intensities['LED'] = deconstruct(labjack.read('AIN2'))
async_getters.append(run_async(labjack_getter))
# Await all async data getters.
# Tasks will run simultaneously.
gather_task = asyncio.gather(*async_getters)
try:
await asyncio.wait_for(gather_task, timeout=15)
except:
raise ValueError(gather_task.exception())
##### Read CBS camera (Sync) #####
cbs_png = None
cbs_info = {'data': None, 'fit': None}
with Timer('CBS Camera', times):
if cbs_cam is not None and cbs_cam.capture():
cbs_png = cv2.imencode('.png',
cbs_cam.image)[1].tobytes()
try:
r, I, (peak, width,
background), chisq = fit_cbs(cbs_cam.image)
cbs_info['data'] = {
'radius': list(r),
'intensity': {
'nom': list(nom(I)),
'std': list(std(I)),
}
}
if max(width.s, peak.s) > 100 or min(width.n,
peak.n) < 0:
raise ValueError
cbs_info['fit'] = {
'peak': deconstruct(peak),
'width': deconstruct(width),
'background': deconstruct(background),
'chisq': chisq,
}
except:
pass
# Read spectrometer thread.
_, spec_data = spectrometer_monitor.grab_json_data()
if spec_data is not None:
rough = spec_data['rough']
trans = spec_data['trans']
rough['hdr-chisq'] = spec_data['fit']['chisq']
### Update models ###
saph_temp = temperatures['saph']
growth_model.update(ufloat(*flows['neon']),
ufloat(*flows['cell']), saph_temp)
fringe_counter.update(refl['ai'][0],
grow=(growth_model._growth_rate.n > 0))
if saph_temp > 13: fringe_counter.reset()
# Construct final data packet
times['loop'] = round(1e3 * (time.monotonic() - loop_start))
uptime = (time.monotonic() - publisher_start) / 3600
data_dict = {
'pressure': deconstruct(chamber_pressure),
'flows': flows,
'temperatures': temperatures,
'heaters': heaters,
'center': center,
'cbs': cbs_info['fit'],
'rough': rough,
'trans': trans,
'refl': refl,
'fringe': {
'count': fringe_counter.fringe_count,
'ampl': fringe_counter.amplitude,
},
'model': {
'height': deconstruct(growth_model.height),
},
'freq': frequencies,
'intensities': intensities,
'running': running,
'debug': {
'times': times,
'uptime': uptime if loop_iteration > 1 else None,
'memory': memory_usage(),
'system-memory':
round(psutil.virtual_memory().used / 1024),
'cpu': psutil.cpu_percent(),
}
}
print_tree(data_dict)
### Limit publishing speed ###
target_end = PUBLISH_INTERVAL * loop_iteration + publisher_start
time.sleep(max(target_end - time.monotonic(), 0))
publisher.send(data_dict)
camera_publisher.send(png)
if cbs_png is not None:
cbs_publisher.send({
'image': cbs_png,
**cbs_info,
})
print()
print()
# Restart if pressure gauge cuts out
if data_dict['pressure'] is None:
pressure_gauge.close()
pressure_gauge = FRG730()
finally:
print(
f'{Fore.RED}{Style.BRIGHT}Crashed, cleaning up...{Style.RESET_ALL}'
)
tb = traceback.format_exc()
print(tb)
print('Stopping fringe camera...')
camera.stop()
camera.close()
camera_publisher.close()
print('Stopping CBS camera...')
cbs_cam.close()
cbs_publisher.close()
print('Stopping miscellaneous equipment...')
pressure_gauge.close()
mfc.close()
turbo.close()
print('Done.')
