def main_example_get_nat_hc_odds():
"""
example for get_fball_natural_hc_odds()
"""
from datetime import datetime
timestamp = datetime(2018, 5, 5, 15, 30, tzinfo=pytz.UTC)
abc_db = get_connection('football')
o = get_natural_hc_odds(
event_id='GSM2463159',
market_abr='FTOUC',
timestamp=timestamp,
abc_db=abc_db,
delta_stale=timedelta(seconds=250),
return_series=True)
pprint(o)
----------
tick: (dict) tick from abc market data
Returns
-------
- lay price rescaled
"""
if tick is None or tick[MarketTick.lay_price.db_field] < 1 * SCALE_FACTOR:
return None
return tick[MarketTick.lay_price.db_field] / SCALE_FACTOR
def get_tick_mid_price(tick):
bp = get_tick_bp(tick)
lp = get_tick_lp(tick)
if bp is None or lp is None:
return None
else:
return (bp + lp) / 2.
if __name__ == '__main__':
conn = get_connection('tennis')
# print get_sticker_odds(conn, 'T-EENP1923578-FT12-A.BF')
cache = FixtureCache()
kickoff = cache.get_kickoff('ENP2191253')
# print get_sanitized_sticker_odds(conn, 'T-EENP2191253-FT12-A.BF', kickoff)
print get_last_tick_before(conn, 'T-EENP2191253-FT12-A.BF', kickoff)
# print existing_stickers_from_meta(conn, 'ENP1923578')
from datetime import datetime
timestamp = datetime(2018, 5, 5, 15, 30, tzinfo=pytz.UTC)
abc_db = get_connection('football')
o = get_natural_hc_odds(
event_id='GSM2463159',
market_abr='FTOUC',
timestamp=timestamp,
abc_db=abc_db,
delta_stale=timedelta(seconds=250),
return_series=True)
pprint(o)
if __name__ == '__main__':
logging.getLogger().setLevel(logging.DEBUG)
conn = get_connection('football')
main_example_get_nat_hc_odds()
# res_ts = nat_ah_hc(conn, 'GSM2465138', 'FTAHG')
# print pd.DataFrame(res_ts)
# # print get_sticker(conn, 'T-EENP1923578-FT12-A.BF')
# cache = FixtureCache()
# kickoff = cache.get_kickoff('ENP2191253')
#
# print nat_ou_hc(conn, 'GSM1487207', 'FTOUG')
# print nat_ou_hc_odds(conn, 'ENP2180538', 'TGOU')
#
# print nat_ah_hc(conn, 'ENP2180538', 'HG')