Add USD LIBOR rates

Also shift versions lower to what I'm actually testing on

metrik/tasks/ice.py

@@ -0,0 +1,42 @@
+from luigi.task import Task
+# noinspection PyUnresolvedReferences
+from six.moves.urllib.parse import quote_plus
+import pandas as pd
+import pytz
+from dateutil.parser import parse
+
+
+class USDLibor(Task):
+
+    @staticmethod
+    def retrieve_data(date):
+        url = ('https://www.theice.com/marketdata/reports/icebenchmarkadmin/'
+               'ICELiborHistoricalRates.shtml?excelExport='
+               '&criteria.reportDate={}&criteria.currencyCode=USD').format(
+            quote_plus(date.strftime('%m/%d/%y'))
+        )
+
+        def parse_london(dt_str):
+            # Pandas does its best to try and help us out by modifying the
+            # actual csv content to try and add timezone and date information.
+            # Which is not in any sense what we want.
+            # So we have convoluted steps to go and fix that.
+            london_tz = pytz.timezone('Europe/London')
+            # Note that parse() implicitly adds timezone information because
+            # of how pandas gave us the value
+            dt = parse(dt_str).replace(year=date.year,
+                                       month=date.month,
+                                       day=date.day)
+            return dt.astimezone(london_tz)
+
+        # Skip 1 row at top for header (header=0),
+        # and read 7 total rows. For whatever reason,
+        # pandas totally ignores both skipfooter and skip_footer.
+        # WTF pandas.
+        df = pd.read_csv(
+            url, names=['Tenor', 'Publication Time', 'USD ICE LIBOR'],
+            header=0, parse_dates=['Publication Time'],
+            nrows=7, date_parser=parse_london,
+        )
+
+        return df

requirements.txt

@@ -1,3 +1,5 @@
+pytz>=2016.6.1
 luigi>=2.2.0
-pyquery>=1.2.13
-requests>=2.11.0
+pyquery>=1.2.9
+requests>=2.9.1
+pandas>=0.17.1

test/tasks/test_ice.py

@@ -0,0 +1,59 @@
+from unittest import TestCase
+from datetime import datetime
+import pytz
+
+from metrik.tasks.ice import USDLibor
+
+
+# noinspection PyUnresolvedReferences
+class TestICE(TestCase):
+
+    def test_correct_libor_Aug8_2016(self):
+        # Validate with:
+        # https://www.theice.com/marketdata/reports/icebenchmarkadmin/ICELiborHistoricalRates.shtml?excelExport=&criteria.reportDate=8%2F8%2F16&criteria.currencyCode=USD
+        aug8_libor = USDLibor.retrieve_data(datetime(2016, 8, 8))
+
+        assert (aug8_libor[aug8_libor['Tenor'] == 'Overnight']['USD ICE LIBOR'] == .4189).all()
+        assert (aug8_libor[aug8_libor['Tenor'] == '1 Week']['USD ICE LIBOR'] == .4431).all()
+        assert (aug8_libor[aug8_libor['Tenor'] == '1 Month']['USD ICE LIBOR'] == .5119).all()
+        assert (aug8_libor[aug8_libor['Tenor'] == '2 Month']['USD ICE LIBOR'] == .6268).all()
+        assert (aug8_libor[aug8_libor['Tenor'] == '3 Month']['USD ICE LIBOR'] == .8065).all()
+        assert (aug8_libor[aug8_libor['Tenor'] == '6 Month']['USD ICE LIBOR'] == 1.1852).all()
+        assert (aug8_libor[aug8_libor['Tenor'] == '1 Year']['USD ICE LIBOR'] == 1.5081).all()
+
+        london_tz = pytz.timezone('Europe/London')
+        actual = london_tz.localize(datetime(2016, 8, 8, 11, 45, 6))
+        assert (aug8_libor['Publication Time'] == actual).all()
+
+    def test_correct_libor_Aug9_2010(self):
+        # Validate with:
+        # https://www.theice.com/marketdata/reports/icebenchmarkadmin/ICELiborHistoricalRates.shtml?excelExport=&criteria.reportDate=8%2F9%2F10&criteria.currencyCode=USD
+        aug9_libor = USDLibor.retrieve_data(datetime(2010, 8, 9))
+
+        assert (aug9_libor[aug9_libor['Tenor'] == 'Overnight']['USD ICE LIBOR'] == .23656).all()
+        assert (aug9_libor[aug9_libor['Tenor'] == '1 Week']['USD ICE LIBOR'] == .27725).all()
+        assert (aug9_libor[aug9_libor['Tenor'] == '1 Month']['USD ICE LIBOR'] == .29).all()
+        assert (aug9_libor[aug9_libor['Tenor'] == '2 Month']['USD ICE LIBOR'] == .3375).all()
+        assert (aug9_libor[aug9_libor['Tenor'] == '3 Month']['USD ICE LIBOR'] == .40438).all()
+        assert (aug9_libor[aug9_libor['Tenor'] == '6 Month']['USD ICE LIBOR'] == .6275).all()
+        assert (aug9_libor[aug9_libor['Tenor'] == '1 Year']['USD ICE LIBOR'] == .995).all()
+
+        london_tz = pytz.timezone('Europe/London')
+        actual = london_tz.localize(datetime(2010, 8, 9, 15, 49, 12))
+        assert (aug9_libor['Publication Time'] == actual).all()
+
+    def test_correct_date_reasoning(self):
+        # Make sure I document how to handle datetime issues in the future
+        london_tz = pytz.timezone('Europe/London')
+        ny_tz = pytz.timezone('America/New_York')
+
+        # DON'T YOU DARE SET TZINFO, SHENANIGANS HAPPEN
+        assert (datetime(2016, 8, 8, 15, 0, 0, tzinfo=london_tz) <
+                datetime(2016, 8, 8, 15, 0, 0, tzinfo=ny_tz))
+
+        assert (datetime(2016, 8, 8, 15, 0, 0, tzinfo=london_tz) >
+                datetime(2016, 8, 8, 10, 0, 0, tzinfo=ny_tz))
+
+        # ALWAYS USE timezone.localize()
+        assert (london_tz.localize(datetime(2016, 8, 8, 15)) ==
+                ny_tz.localize(datetime(2016, 8, 8, 10)))