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import ast, csv
import fuel
from enum import Enum
from fuel.datasets import Dataset
from fuel.streams import DataStream
from fuel.iterator import DataIterator
PREFIX="/data/lisatmp3/auvolat/taxikaggle"
client_ids = {int(x): y+1 for y, x in enumerate(open(PREFIX+"/client_ids.txt"))}
class CallType(Enum):
CENTRAL = 0
STAND = 1
STREET = 2
@classmethod
def from_data(cls, val):
if val=='A':
return cls.CENTRAL
elif val=='B':
return cls.STAND
elif val=='C':
return cls.STREET
@classmethod
def to_data(cls, val):
if val==cls.CENTRAL:
return 'A'
elif val==cls.STAND:
return 'B'
elif val==cls.STREET:
return 'C'
class DayType(Enum):
NORMAL = 0
HOLIDAY = 1
HOLIDAY_EVE = 2
@classmethod
def from_data(cls, val):
if val=='A':
return cls.NORMAL
elif val=='B':
return cls.HOLIDAY
elif val=='C':
return cls.HOLIDAY_EVE
@classmethod
def to_data(cls, val):
if val==cls.NORMAL:
return 'A'
elif val==cls.HOLIDAY:
return 'B'
elif val==cls.HOLIDAY_EVE:
return 'C'
class TaxiData(Dataset):
provides_sources= ("trip_id","call_type","origin_call","origin_stand","taxi_id","timestamp","day_type","missing_data","polyline")
example_iteration_scheme=None
class State:
__slots__ = ('file', 'index', 'reader')
def __init__(self, pathes, has_header=False):
if not isinstance(pathes, list):
pathes=[pathes]
assert len(pathes)
self.pathes=pathes
self.has_header=has_header
super(TaxiData, self).__init__()
def open(self):
state=self.State()
state.file=open(self.pathes[0])
state.index=0
state.reader=csv.reader(state.file)
if self.has_header:
state.reader.next()
return state
def close(self, state):
state.file.close()
def reset(self, state):
if state.index==0:
state.file.seek(0)
else:
state.index=0
state.file.close()
state.file=open(self.pathes[0])
state.reader=csv.reader(state.file)
return state
def get_data(self, state, request=None):
if request is not None:
raise ValueError
try:
line=state.reader.next()
except ValueError:
state.file.close()
state.index+=1
if state.index>=len(self.pathes):
raise
state.file=open(self.pathes[state.index])
state.reader=csv.reader(state.file)
if self.has_header:
state.reader.next()
return get_data(self, state)
line[1]=CallType.from_data(line[1]) # call_type
line[2]=0 if line[2]=='' or line[2]=='NA' else client_ids[int(line[2])] # origin_call
line[3]=0 if line[3]=='' or line[3]=='NA' else int(line[3]) # origin_stand
line[4]=int(line[4]) # taxi_id
line[5]=int(line[5]) # timestamp
line[6]=DayType.from_data(line[6]) # day_type
line[7]=line[7][0]=='T' # missing_data
line[8]=map(tuple, ast.literal_eval(line[8])) # polyline
return tuple(line)
train_files=["%s/split/train-%02d.csv" % (PREFIX, i) for i in range(100)]
valid_files=["%s/split/valid.csv" % (PREFIX,)]
train_data=TaxiData(train_files)
valid_data=TaxiData(valid_files)
def train_it():
return DataIterator(DataStream(train_data))
def test_it():
return DataIterator(DataStream(test_data))
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