def retrieveLapRunDataLapQuads(lapId: str) -> []:
# config the request for API to get the run data
limit, page = int(os.environ['runDataRetrieveLimit']), \
int(os.environ['runDataPaging'])
payload = {'lapName': lapId, 'page': page, 'limit': limit}
# call API to get runData
runData: dict = ApiWrapper.get("/rundata/", params=payload).json()['data']
if len(runData) == 0:
raise RunDataException
# some times the first rows is mistaken distance data
# and need to remove them from the run data ro
def removed_first_bad_distance_rows() -> int:
glitches, total_rows, g = 0, len(runData), 0
for row_id in range(total_rows - 1):
# In this case, the row 'distance' value is bigger then the next row 'distance' value.
if runData[row_id]['distance'] > runData[row_id + 1]['distance']:
glitches += 1
else:
break
return glitches
# the number of glitches in thr beginning of the lap
num_dist_glit: int = removed_first_bad_distance_rows()
if num_dist_glit > 0:
print(f"FOUND {num_dist_glit} BAD ROWS FOR LAP {lapId}"
f"\nLAP FIRST ROWS DISTANCE IS BIGGER THEN THE NEXT ROWS")
runData = runData[num_dist_glit:] # remove the rows with the distance glitches in the
# beginning
# create array of RunDataRow bean object
return [RunDataRow(**runData[i]) for i in range(len(runData))]
