def _add_features(self, features):
# add all features (as features are rendered on top of each other in the
# order we provide it to mapnik, make sure markers are on top)
types = ['Polygon', 'LineString', 'Point']
getter = lambda x: types.index(x['geometry']['type'])
entries = sorted([strip(f) for f in features], key=getter)
collection = json.dumps(FeatureCollection(entries))
xml_str = get_xml("styles/features.xml").format(collection).encode()
load_map_from_string(self._map, xml_str)
def _get_features(self):
# add all features (as features are rendered on top of each other in the
# order we provide it to mapnik, make sure markers are on top)
features = []
if len(self.obj['features']) > 0:
types = ['GeometryCollection', 'Polygon', 'LineString', 'Point']
getter = lambda x: types.index(x['geometry']['type'])
features = sorted([strip(f) for f in self.obj['features']],
key=getter)
return geojson.FeatureCollection(features)
def betdsi_nhl_extractor(page):
tp = TableParser()
tp.feed(strip(page))
tables = tp.get_tables()
# Get rid of garbage rows
tables = [t for t in tables if len(t) == 2]
# Find team names and moneylines
pairs = []
for table in tables:
name1 = table[0][1].strip()
name2 = table[1][0]
moneyline1 = table[0][-1].strip()
moneyline2 = table[1][-1].strip()
pairs.append(((name1, moneyline1), (name2, moneyline2)))
return pairs
def bodog_nhl_extractor(page):
tp = TableParser()
tp.feed(strip(page))
tables = tp.get_tables()
# Get rid of garbage rows
rows = [r for t in tables for r in t if len(r) > 3][1:]
# Find team names and moneylines
pairs = []
for i in range(len(rows)/2):
name1 = rows[i*2][2].strip()
name2 = rows[i*2+1][1].strip()
moneyline1 = rows[i*2][4].strip()
moneyline2 = rows[i*2+1][3].strip()
pairs.append(((name1, moneyline1), (name2, moneyline2)))
return pairs
def betdsi_nhl_extractor(page):
tp = TableParser()
tp.feed(strip(page))
tables = tp.get_tables()
# Get rid of garbage rows
tables = [t for t in tables if len(t) == 2]
# Find team names and moneylines
pairs = []
for table in tables:
name1 = table[0][1].strip()
name2 = table[1][0]
moneyline1 = table[0][-1].strip()
moneyline2 = table[1][-1].strip()
pairs.append(((name1, moneyline1), (name2, moneyline2)))
return pairs
def bovada_nhl_extractor(page):
tp = TableParser()
tp.feed(strip(page))
tables = tp.get_tables()
# Get rid of garbage lines in the table
tables = tables[1:]
for i, t in enumerate(tables):
tables[i] = max(t, key=lambda x: len(x))
# Find the team names and moneylines
pairs = []
for i in range(len(tables) / 2):
name1 = tables[i * 2][2].strip()
name2 = tables[i * 2 + 1][1].strip()
moneyline1 = tables[i * 2][4].strip()
moneyline2 = tables[i * 2 + 1][3].strip()
pairs.append(((name1, moneyline1), (name2, moneyline2)))
return pairs