# Copyright (c) 2019, MD2K Center of Excellence
# - Nasir Ali <nasir.ali08@gmail.com>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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import json
from datetime import datetime
[docs]def mcerebrum_data_parser(line: str) -> list:
"""
parse each row of data file into list of values (timestamp, localtime, val1, val2....)
Args:
line (str):
Returns:
list: (timestamp, localtime, val1, val2....)
"""
data = []
ts, offset, sample = line[0].split(',', 2)
try:
ts = int(ts)
offset = int(offset)
except:
raise Exception("cannot convert timestamp/offsets into int")
try:
vals = json.loads(sample)
except:
vals = sample.split(",")
timestamp = datetime.utcfromtimestamp(ts / 1000)
localtime = datetime.utcfromtimestamp((ts + offset) / 1000)
data.append(timestamp)
data.append(localtime)
if isinstance(vals, list):
data.extend(vals)
else:
data.append(vals)
return data