# cta.py

from collections import defaultdict, Counter
import tracemalloc
import csv
import sys

tracemalloc.start()

if True:
    # Part (b)
    import reader
    rows = reader.read_csv_as_dicts('../../Data/ctabus.csv',
                                    [sys.intern, sys.intern, sys.intern, int])
else:
    # Part (d) - Challenge
    import colreader
    rows = colreader.read_csv_as_columns('../../Data/ctabus.csv', 
                                         [sys.intern, sys.intern, sys.intern, int])

# --------------------------------------------------
# Question 1:  How many bus routes are in Chicago?
# Solution: Use a set to get unique values. 

routes = set()
for row in rows:
    routes.add(row['route'])
print(len(routes), 'routes')

# --------------------------------------------------
# Question 2: Total number of rides per route
# Solution: Use a counter to tabulate things
rides_per_route = Counter()
for row in rows:
    rides_per_route[row['route']] += row['rides']

# Make a table showing the routes and a count ranked by popularity
for route, count in rides_per_route.most_common():
    print('%5s %10d' % (route, count))

# --------------------------------------------------
# Question 3: Routes with greatest increase in ridership 2001 - 2011
# Solution: Counters embedded inside a defaultdict

rides_by_year = defaultdict(Counter)
for row in rows:
    year = row['date'].split('/')[2]
    rides_by_year[year][row['route']] += row['rides']

diffs = rides_by_year['2011'] - rides_by_year['2001']
for route, diff in diffs.most_common(5):
    print(route, diff)

# ---- Memory use
print('Memory Use: Current %d, Peak %d' % tracemalloc.get_traced_memory())