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parse.py
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parse.py
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import re, argparse
from itertools import *
import os
from struct import *
def debug(*args):
if 'DEBUG' in os.environ:
print(*args)
class ImpactEvent(object):
"""Stores impact event data"""
def __init__(self):
self.description = ""
#
# Samples for each axis are kept in separate lists
# self.pre_samples[0] ---> x axis samples
# self.pre_samples[1] ---> y axis samples
# self.pre_samples[2] ---> z axis samples
#
# self.pre_samples[[],[],[]]
#
self.pre_samples = [[], [], []]
self.post_samples = [[], [], []]
class Parser(object):
""" Parse CLI arguments"""
def __init__(self):
self.parser = argparse.ArgumentParser(description = "Finds raw data file, stores impact events data in a file")
def get_parser(self):
self.parser.add_argument('file_in', type=str, help='Raw data file')
self.parser.add_argument('file_out', type=str, help='File out')
return self.parser
def run_parser(self):
parser = self.get_parser()
self.args = vars(parser.parse_args())
return self.args
IMPACT, DATA, MORE_DATA = range(3)
PRE_IMPACT_DATA, POST_IMPACT_DATA = "0a", "0b"
def to_shorts(hex_data):
"""We have to translate to shorts """
results = []
for hexes in hex_data:
debug(">>> %s <<<" % hexes)
b = bytes.fromhex(hexes)
short = unpack('h', b)
results.append(short[0] * 0.001)
return results
def group_hexes(data):
"""We need to group bytes by 2 """
results = []
for i in range(0, len(data), 2):
y = ''.join(data[i:i+2])
results.append(y)
return results
def is_impact_event(event):
"""Check if line logs impact event """
if 'T:6-09' and 'P: 09' in event:
# is start of impact event
cells = event.split()
date = " ".join((cells[0], cells[1]))
return date
else:
return None
def is_start_of_impact_data(event):
if 'T:7-0f' in event:
return True
else:
return False
class ProcessingState(object):
def __init__(self):
self.impact_event = None
self.looking_for = IMPACT
self.data = []
self.axes_found = 0
self.axis = 0
self.looking_for = IMPACT
self.curr_data_len = 0
self.data_type = PRE_IMPACT_DATA
self.impact_events = []
def looking_for_impact_events(self, result):
# we're looking for impact events!
self.impact_event = ImpactEvent()
self.impact_event.description = result
self.looking_for = DATA
self.data = []
self.axes_found = 0
def looking_for_impact_data(self, line, splitted):
# we're looking for impact data!
# We found a start of impact data line
# extract data length byte from current line
data_length_string = splitted[3] # e.g. 'L:f2'
data_length = int(data_length_string.split(':')[1], 16)
debug("dl: %d\n" % data_length)
# extract data from current line, store in data list
if splitted[6] != self.data_type:
raise(ValueError, "Incorrect type found")
if splitted[5] == '00':
self.axis = 0
self.axes_found += 1
elif splitted[5] == '01':
self.axis = 1
self.axes_found += 1
elif splitted[5] == '02':
self.axis = 2
self.axes_found += 1
else:
raise(ValueError, "Invalid value for axis")
debug("axes found: %d\n" % self.axes_found)
data_bytes = splitted[7:]
self.looking_for = MORE_DATA
self.data.extend(data_bytes)
self.curr_data_len = data_length
def looking_for_more_data(self, line, splitted):
shorts = to_shorts(group_hexes(self.data))
if self.data_type == PRE_IMPACT_DATA:
self.impact_event.pre_samples[self.axis].extend(shorts)
elif self.data_type == POST_IMPACT_DATA:
self.impact_event.post_samples[self.axis].extend(shorts)
else:
raise(ValueError, "Unknown data type")
self.data = [] # empty data list
if self.axes_found == 3:
self.axes_found = 0
if self.data_type == PRE_IMPACT_DATA:
# found pre data
debug("Found pre data, looking for post")
self.data_type = POST_IMPACT_DATA
self.looking_for = DATA
elif self.data_type == POST_IMPACT_DATA:
# found post data, done with this event
self.looking_for = IMPACT
self.data_type = PRE_IMPACT_DATA
self.impact_events.append(self.impact_event)
else:
raise ValueError("Incorrect data type value\n")
self.curr_data_len = 0
else:
self.looking_for = DATA
self.curr_data_len = 0
def read(self, file_in):
with open(file_in, 'r') as input_file:
input_data = ((line, line.split()) for line in input_file)
for line, splitted in input_data:
if self.looking_for == IMPACT:
result = is_impact_event(line)
if result:
self.looking_for_impact_events(result)
elif self.looking_for == DATA:
if is_start_of_impact_data(line):
self.looking_for_impact_data(line, splitted)
elif self.looking_for == MORE_DATA:
self.data.extend(splitted)
if len(self.data) >= self.curr_data_len - 2:
self.looking_for_more_data(line, splitted)
class EventOutput(object):
def __init__(self, state):
self.state = state
def write(self, file_out):
with open(file_out, 'w') as target:
for event in self.state.impact_events:
debug(event.pre_samples)
debug('\n')
target.write(f"{event.description}\n")
target.write("PRE SAMPLES:\n")
for i in range(len(event.pre_samples[0])):
try:
target.write("\t%0.2f, %0.2f, %0.2f\n" %
(event.pre_samples[0][i], event.pre_samples[1][i], event.pre_samples[2][i]))
except IndexError:
pass
target.write("\n")
target.write("POST SAMPLES:\n")
for i in range(len(event.post_samples[0])):
try:
target.write("\t%0.2f, %0.2f, %0.2f\n" %
(event.post_samples[0][i], event.post_samples[1][i], event.post_samples[2][i]))
except IndexError:
pass
target.write("\n")
def main(args):
state = ProcessingState()
state.read(args['file_in'])
output = EventOutput(state)
output.write(args['file_out'])
debug("\033[44;77m>>>>> Success! Your file is written.\033[m")
debug(">>>> Impact events length:", len(state.impact_events))
if __name__ == '__main__':
parser = Parser()
args = parser.run_parser()
debug(args)
main(args)