def run_draft(match_id, team_id):
c = Cursor("emporium_draft")
items = c.execute(ITEMS_FOR_DRAFT_QUERY, (match_id, team_id)).fetchall()
for i, item in enumerate(items):
if not i % 100:
print " processing item #%s" % i
draft_item(c, match_id, team_id, item)
def match_to_json(m, user=None):
"""
Right now this function is a performance clusterfuck. Almost all of the data in
here can be gathered with a single query and windowed multi-join, but lets wait
until shit breaks, eh?
"""
c = Cursor()
if not isinstance(m, tuple):
c.execute(MATCH_SELECT_SQL, (m, ))
m = c.fetchone()
if not m:
raise InvalidRequestError("Failed to match_to_json with arg %s" % m)
match = {}
match['id'] = m.id
match['game'] = m.game
match['when'] = int(m.match_date.strftime("%s"))
match['teams'] = []
match['extra'] = {}
match['stats'] = {}
# This will most definitily require some f*****g caching at some point
bet_stats = c.execute("""SELECT
sum(array_length(items, 1)) as skins_count,
count(*) as count,
sum(value) as value,
team
FROM bets WHERE match=%s AND state >= 'confirmed' GROUP BY team""", (m.id, )).fetchall(as_list=True)
match['stats']['players'] = sum(map(lambda i: i.count, bet_stats))
match['stats']['skins'] = sum(map(lambda i: i.skins_count, bet_stats))
match['stats']['value'] = sum(map(lambda i: i.value, bet_stats))
bet_stats = { i.team: i for i in bet_stats}
# Grab team information, including bets (this should be a join)
c.execute("SELECT * FROM teams WHERE id IN %s", (tuple(m.teams), ))
teams = c.fetchall()
total_bets = sum(map(lambda i: i.count, bet_stats.values())) * 1.0
total_value = sum(map(lambda i: i.value, bet_stats.values()))
for index, team in enumerate(teams):
team_data = {
"id": team.id,
"name": team.name,
"tag": team.tag,
"logo": team.logo,
"stats": {
"players": 0,
"skins": 0,
"value": 0,
},
"odds": 0
}
if index in bet_stats:
team_data['stats']['players'] = bet_stats[index].count
team_data['stats']['skins'] = bet_stats[index].skins_count
team_data['stats']['value'] = bet_stats[index].value
team_data['odds'] = float("{0:.2f}".format(bet_stats[index].count / total_bets))
match['teams'].append(team_data)
if user:
match['me'] = {}
mybet = c.execute("""
SELECT id, team, items::steam_item[], state, value
FROM bets WHERE match=%s AND better=%s
""", (m.id, user)).fetchone()
if mybet:
match['me']['id'] = mybet.id
match['me']['team'] = mybet.team
match['me']['state'] = mybet.state
match['me']['value'] = mybet.value
match['me']['state'] = mybet.state
if total_value > mybet.value:
my_return = ((total_value * 1.0) / match['teams'][mybet.team]['stats']['value']) * mybet.value
else:
my_return = mybet.value
match['me']['return'] = float("{0:.2f}".format(my_return))
# Load items in sub query :(
match['me']['items'] = []
items = c.execute("SELECT id, name, price, meta FROM items WHERE id IN %s", (tuple(
map(lambda i: i.item_id, mybet.items)), ))
for item in items.fetchall():
match['me']['items'].append({
"id": item.id,
"name": item.name,
"price": float(item.price),
"image": item.meta['image']
})
for key in ['league', 'type', 'event', 'streams', 'maps', 'note']:
if key in m.meta:
match['extra'][key] = m.meta[key]
match['results'] = m.results
return match
