Last active
April 10, 2017 16:43
-
-
Save markbrough/688016e1288ea6f8c97aa8f78dd730ad to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from bisect import bisect_left | |
import csv | |
import datetime | |
import pkg_resources | |
class UnknownCurrencyException(Exception): | |
pass | |
def make_date_from_iso(iso_str): | |
return datetime.date(int(iso_str[:4]), int(iso_str[5:7]), | |
int(iso_str[8:10])) | |
def take_closest(myList, myNumber): | |
# Source: http://stackoverflow.com/a/12141511 | |
""" | |
Assumes myList is sorted. Returns closest value to myNumber. | |
If two numbers are equally close, return the smallest number. | |
""" | |
pos = bisect_left(myList, myNumber) | |
if pos == 0: | |
return myList[0] | |
if pos == len(myList): | |
return myList[-1] | |
before = myList[pos - 1] | |
after = myList[pos] | |
if after - myNumber < myNumber - before: | |
return after | |
else: | |
return before | |
class CurrencyConverter(object): | |
def __init__(self, source=None): | |
def load_rates(): | |
""" | |
Read CSV file as generator function | |
""" | |
if not source: | |
resource_package = __name__ | |
resource_path = '/'.join(('data', 'consolidated_rates.csv')) | |
data = pkg_resources.resource_stream(resource_package, resource_path) | |
else: | |
data = open(source, "rU") | |
csv_reader = csv.reader(data) | |
csv_reader.next() | |
for row in csv_reader: | |
yield row | |
def make_rates(rates_list): | |
""" | |
Sort rates into nice dictionary of currency: dates | |
""" | |
def append_path(root, paths): | |
child = root.setdefault(paths[0], {}) | |
root[paths[0]].update(paths[1]) | |
rates_dates = {} | |
for row in rates_list: | |
append_path(rates_dates, (row[2], | |
{ make_date_from_iso(row[0]): row[1] } )) | |
currencies_dates = dict(map(lambda currency: | |
(currency, sorted(list(rates_dates[currency]))), | |
rates_dates.keys())) | |
return currencies_dates, rates_dates | |
self.currencies_dates, self.dates_rates = make_rates(load_rates()) | |
def known_currencies(self): | |
return ",".join(sorted(self.currencies_dates.keys())) | |
def closest_rate(self, currency, date): | |
""" | |
Accepts a list with (currency, date) | |
returns currency, date, conversion date, exchange rate | |
""" | |
if currency == u"USD": | |
return { "closest_date": date, "conversion_rate": 1.0 } | |
try: | |
the_date = take_closest(self.currencies_dates[currency], date) | |
return { | |
"closest_date": the_date, | |
"conversion_rate": self.dates_rates[currency][the_date] | |
} | |
except KeyError: | |
raise UnknownCurrencyException("Unknown currency: {}".format( | |
currency)) | |
if __name__ == "__main__": | |
""" | |
Example output | |
""" | |
converter = CurrencyConverter() | |
print "Available currencies: {}".format(converter.known_currencies()) | |
print converter.closest_rate("USD", datetime.date(2012,7,20)) | |
print converter.closest_rate("EUR", datetime.date(2014,7,20)) | |
print converter.closest_rate("EUR", datetime.date(2014,7,20)) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment