def _parse_chunk(self):
records = []
sample = self.chunk["content"][4:].strip()
parts = sample.split("\t")
record = {
# TODO: Set correct params
#'model': parts[0],
#'serial': parts[1],
'C': float(parts[2]),
'D': float(parts[3]),
'E': float(parts[4]),
'F': float(parts[5]),
'G': float(parts[6]),
'H': float(parts[7]),
'I': float(parts[8]),
'J': float(parts[9]),
'K': float(parts[10]),
'L': float(parts[11]),
}
ntp_timestamp = ntplib.system_to_ntp_time(self.chunk["timestamp"])
particle = FlexDataParticle(driver_timestamp=ntp_timestamp, stream_name=STREAM_NAME)
particle.set_data_values(record)
records.append(particle)
return records
def _parse_chunk(self):
records = []
sample = self.chunk["content"][4:].strip()
parts = sample.split("\t")
record = {
# TODO: Set correct params
#'model': parts[0],
#'serial': parts[1],
'C': float(parts[2]),
'D': float(parts[3]),
'E': float(parts[4]),
'F': float(parts[5]),
'G': float(parts[6]),
'H': float(parts[7]),
'I': float(parts[8]),
'J': float(parts[9]),
'K': float(parts[10]),
'L': float(parts[11]),
}
ntp_timestamp = ntplib.system_to_ntp_time(self.chunk["timestamp"])
particle = FlexDataParticle(driver_timestamp=ntp_timestamp,
stream_name=STREAM_NAME)
particle.set_data_values(record)
records.append(particle)
return records
def _parse_chunk(self):
data = self.chunk["content"]
record = {
# TODO: Set correct params
'raw': data,
}
ntp_timestamp = ntplib.system_to_ntp_time(self.chunk["timestamp"])
particle = FlexDataParticle(driver_timestamp=ntp_timestamp, stream_name=STREAM_NAME)
particle.set_data_values(record)
records = []
records.append(particle)
return records
def get_records(self, max_count=MAX_RECORDS_PER_GRANULE):
"""
return a list of dicts, each dict describes one record in the current profile
or None if the last profile has been read completely
"""
if self._profile_index >= len(self._profiles):
return None
particle_list = []
profile = self._profiles[self._profile_index]
start = profile['start']
end = profile['end']
records = profile['records']
last_index = min(max_count + self._record_index, len(records))
while self._record_index < last_index:
data = records[self._record_index]
time = self._interpolate_time(self._record_index, start, end,
len(records))
ntp_timestamp = ntplib.system_to_ntp_time(time)
if time > self._parse_after:
record = {
'upload_time': self._upload_time,
'conductivity': self._get_conductivity(data),
'temp': self._get_temperature(data),
'pressure': self._get_pressure(data),
'oxygen': self._get_oxygen(data)
}
particle = FlexDataParticle(driver_timestamp=ntp_timestamp)
particle.set_data_values(record)
particle_list.append(particle.generate(encode=False))
self._record_index += 1
if self._record_index == len(records):
self._record_index = 0
self._profile_index += 1
log.debug("get_records(max_count=%s) returns %s particles", max_count,
len(particle_list))
return particle_list
def get_records(self, max_count=MAX_RECORDS_PER_GRANULE):
"""
return a list of dicts, each dict describes one record in the current profile
or None if the last profile has been read completely
"""
if self._profile_index >= len(self._profiles):
return None
particle_list = []
profile = self._profiles[self._profile_index]
start = profile['start']
end = profile['end']
records = profile['records']
last_index = min(max_count + self._record_index, len(records))
while self._record_index < last_index:
data = records[self._record_index]
time = self._interpolate_time(self._record_index, start, end, len(records))
ntp_timestamp = ntplib.system_to_ntp_time(time)
if time > self._parse_after:
record = {
'upload_time': self._upload_time,
'conductivity': self._get_conductivity(data),
'temp': self._get_temperature(data),
'pressure': self._get_pressure(data),
'oxygen': self._get_oxygen(data)
}
particle = FlexDataParticle(driver_timestamp=ntp_timestamp)
particle.set_data_values(record)
particle_list.append(particle.generate(encode=False))
self._record_index += 1
if self._record_index == len(records):
self._record_index = 0
self._profile_index += 1
log.debug("get_records(max_count=%s) returns %s particles", max_count, len(particle_list))
return particle_list
