def vin3 ():
vin = "NM0KS9BN2CT099422"
cont = vp.continent(vin)
assert cont == "Asia", f"continent({vin}) == Europe. Got {cont}"
count = vp.country(vin)
assert count == "Turkey", f"country({vin}) == Turkey. Got {count}"
year = vp.year(vin)
assert year == 2012, f"year({vin}) == 2012. Got {year}"
manuf = vp.manuf(vin)
assert manuf == "Ford Turkey", f"manuf({vin}) == Ford Turkey. Got {manuf}"
wmi = vp.wmi(vin)
assert wmi == "NM0", f"wmi({vin}) == NM0. Got {wmi}"
vis = vp.vis(vin)
assert vis == "CT099422", f"vis({vin}) == CT099422. Got {vis}"
assert vp.is_valid(vin), f"is_valid({vin})"
return True
def vin2():
vin = "WAUAH74FX8N034074"
cont = vp.continent(vin)
assert cont == "Europe", f"continent({vin}) == Europe. Got {cont}"
count = vp.country(vin)
assert count == "Germany", f"country({vin}) == Germany. Got {count}"
year = vp.year(vin)
assert year == 2008, f"year({vin}) == 2008. Got {year}"
manuf = vp.manuf(vin)
assert manuf == "Audi", f"manuf({vin}) == Audi. Got {manuf}"
wmi = vp.wmi(vin)
assert wmi == "WAU", f"wmi({vin}) == WAU. Got {wmi}"
vis = vp.vis(vin)
assert vis == "8N034074", f"vis({vin}) == 8N034074. Got {vis}"
assert vp.is_valid(vin), f"isvalid({vin})"
return True
def vin1 ():
vin = "3C6LD5AT8CG295248"
cont = vp.continent(vin)
assert cont == "North America", f"continent({vin}) == North America, got {cont}"
count = vp.country(vin)
assert count == "Mexico", f"country({vin}) == Mexico. Got {count}"
year = vp.year(vin)
assert year == 2012, f"year({vin}) == 2012. Got {year}"
manuf = vp.manuf(vin)
assert manuf == "Chrysler Mexico", f"manuf({vin}) == Chrysler Mexico. Got {manuf}"
wmi = vp.wmi(vin)
assert wmi == "3C6", f"wmi({vin}) == 3C6. Got {wmi}"
vis = vp.vis(vin)
assert vis == "CG295248", f"vis({vin}) == CG295248. Got {vis}"
assert vp.is_valid(vin), f"is_valid({vin})"
return True
def invalid():
vinl = [
"", "AAA", "JM1BL1M72C158742", "1FTEW1CM9BFA745571",
"VIN6135B660801530", "IOQZZZSNZY1063363"
]
for vin in vinl:
cont = vp.continent(vin)
assert cont == False, f"continent({vin}) == False. Got {cont}"
count = vp.country(vin)
assert count == False, f"country({vin}) == False. Got {count}"
year = vp.year(vin)
assert year == False, f"year({vin}) == False. False {year}"
manuf = vp.manuf(vin)
assert manuf == False, f"manuf({vin}) == False. Got {manuf}"
wmi = vp.wmi(vin)
assert wmi == False, f"wmi({vin}) == False. Got {wmi}"
vis = vp.vis(vin)
assert vis == False, f"vis({vin}) == False. Got {vis}"
assert vp.is_valid(vin) == False, f"is_valid({vin})"
return True
def __init__(self,
folder='',
csvfile='',
dbcfile='',
recursive=False,
**kwargs):
# set the csv file based on what we got; if empty, we're probably going to
# be doing what's in the passed in folder
self.csvfile = csvfile
# set the dbcfile to be what is passed in;
# if empty we will choose later
# if multiple, we will look for one that matches our sensibilities
self.dbcfile = dbcfile
# print(f'dbcfile={self.dbcfile}')
dbcdict = meta.dbcDictionary(self.dbcfile)
# print(f'dbcdict={dbcdict}')
self.drive = {
'filepath': self.csvfile,
'filename': os.path.basename(self.csvfile)
}
print(f'Reading {self.csvfile}')
try:
vin = meta.vin(self.csvfile)
self.drive['vin'] = vin
makeStr = ''
wmiStr = ''
# import vin_parser as vp
# print('vp omg')
try:
if vp.check_valid(vin) == True:
makeStr = vp.manuf(vin)
wmiStr = vp.wmi(vin)
self.drive['make'] = makeStr
except:
print('No valid vin..continuing as Toyota')
dbc = None
if len(wmiStr) > 0:
dbc = dbcdict[wmiStr]
# check to confirm that the dbc files match
else:
print('Error finding correct dbcfile, will use Toyota Version')
dbc = dbcdict['2T3']
# print(f'dbc={dbc}')
self.r0 = strymread(self.csvfile, dbc)
self.drive['date'] = time.ctime(self.r0.dataframe["Time"][0])
duration1 = self.r0.dataframe['Time'][
len(self.r0.dataframe) - 1] - self.r0.dataframe['Time'][0]
duration_str = f' Duration of this drive is {duration1} seconds ({math.trunc(int(duration1*1000)/(1000*60))} minutes {math.trunc(duration1 % 60)} seconds).'
start_str = f' Starting date/time of the drive is {time.ctime(self.r0.dataframe["Time"][0])}'
# get the speed timeseries information from the data file
speed_ts = self.r0.speed()
# turn the timeseries into a python array for integration
# transform from km/hr by multiplying 1000m/1km and 1 hr/3600s to get m/s
speed_ar = np.array(speed_ts['Message']) * 1000 / 3600
# speed_ar[0:-1]*1000/3600
# find the difference of the time values
# dt = np.diff(np.array(speed_ts['Time']))
dt = np.diff(speed_ts['Time'])
# trapezoidal integration, divide by 1000 to get total km (rather than m)
# Commented out: this produces negative values that don't make sense
# km_ts = np.trapz(y=speed_ar[0:-1],x=dt)/1000
km_ts = np.trapz(y=speed_ar, x=np.array(speed_ts['Time'])) / 1000
# commented out: this produces incorrect values that seem to be off by a factor of around 2, depending
km_dx = np.trapz(y=speed_ar, dx=0.02) / 1000
# need to convert km/hr to km/s to get km later when integrating
distance_str = f' The trip was {km_ts} km ({km_ts*3.1/5} miles)'
# distance_str_dx f' The dx version is {km_dx} km ({km_dx*3.1/5} miles)'
#speed_ts['Time']
#f'Total miles driven is {km_ts}'
# print(duration_str)
# print(start_str)
# print(distance_str)
# print('')
# self.drive = { 'filepath': self.csvfile, 'filename': os.path.basename(self.csvfile), 'distance_km': km_ts, 'distance_miles': km_ts*3.1/5, 'duration_s': duration1,
# 'date': time.ctime(self.r0.dataframe["Time"][0]) }
self.drive['distance_km'] = km_ts
self.drive['distance_miles'] = km_ts * 3.1 / 5
self.drive['duration_s'] = duration1
except Exception as ex:
errString = f'Error processing {self.csvfile} with {self.dbcfile}, leaving note in drive (msg={ex}).'
self.drive['error'] = errString