Add timestamp for data collection/plotting
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@ -3,6 +3,7 @@ import matplotlib.pyplot as plot
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from scipy import signal, constants
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import argparse
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import os
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import datetime
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def rp_raw_to_numpy(rp_raw):
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@ -38,11 +39,15 @@ def main():
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raise ValueError("Both files are the same.")
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with open(os.path.join(args.dir, y1_filename), 'rb') as f:
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y1_raw = f.read().decode('utf-8')
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y1_now_iso, y1_raw = [l.decode('utf-8') for l in f.readlines()]
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with open(os.path.join(args.dir, y2_filename), 'rb') as f:
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y2_raw = f.read().decode('utf-8')
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y2_now_iso, y2_raw = [l.decode('utf-8') for l in f.readlines()]
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if None in [y1_raw, y2_raw]:
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raise IOError("Raw RP string files cannot be opened.")
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if y1_now_iso != y2_now_iso:
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raise ValueError("Timestamps of raw RP files are not identical.")
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now_iso = y1_now_iso.rstrip()
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print("Reading raw RP data collected at {}.".format(now_iso))
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y1 = rp_raw_to_numpy(y1_raw)
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y2 = rp_raw_to_numpy(y2_raw)
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@ -2,6 +2,7 @@ import socket
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import asyncio
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import argparse
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import os
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import datetime
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class RPSCPI:
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@ -57,6 +58,12 @@ async def gather_trigger(rp_list):
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def main():
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# Get timestamp at script start
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now = datetime.datetime.now().replace(
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microsecond=0, # get rid of microseconds when printed
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)
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now_iso = now.isoformat(sep=' ')
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parser = argparse.ArgumentParser(description="Data collection tool for Sayma DAC/TTL at RedPitaya")
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parser.add_argument("dir", help="output directory", type=str)
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parser.add_argument("rps_gains", metavar="RP_NAME:CH1_GAIN,CH2_GAIN",
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@ -95,11 +102,14 @@ def main():
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for rp in rps:
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y1_raw = rp.get_data(1)
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y2_raw = rp.get_data(2)
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print("Data collection started at {}.".format(now_iso))
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with open(os.path.join(args.dir, 'rp_{}_y1_raw.bin'.format(rp.name)), 'wb') as f:
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f.write("{}\n".format(now_iso).encode('utf-8'))
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f.write(y1_raw.encode('utf-8'))
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print("Succesfully written y1 raw data from RP {}.".format(rp.name))
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with open(os.path.join(args.dir, 'rp_{}_y2_raw.bin'.format(rp.name)), 'wb') as f:
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f.write("{}\n".format(now_iso).encode('utf-8'))
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f.write(y2_raw.encode('utf-8'))
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print("Succesfully written y2 raw data from RP {}.".format(rp.name))
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