def analyze(match):
url = "https://asia.api.riotgames.com/lol/match/v5/matches/%s?" % (match)
match_url = build_url(url,key_param)
info = requests.get(url=match_url).json()
url = "https://asia.api.riotgames.com/lol/match/v5/matches/%s/timeline?" % (match)
timeline_url = build_url(url,key_param)
timeline_info = requests.get(url=timeline_url).json()
participants = []
for i in range(len(info["info"]["participants"])):
participant = info["info"]["participants"][i]
summonerName = participant["summonerName"]
championName = participant["championName"]
goldEarned = participant["goldEarned"]
teamPosition = participant["teamPosition"]
gold_2 = timeline_info["info"]["frames"][2]["participantFrames"][str(i+1)]["totalGold"]
gold_4 = timeline_info["info"]["frames"][4]["participantFrames"][str(i+1)]["totalGold"]
gold_6 = timeline_info["info"]["frames"][6]["participantFrames"][str(i+1)]["totalGold"]
pos_2 = (timeline_info["info"]["frames"][2]["participantFrames"][str(i+1)]["position"]["x"],timeline_info["info"]["frames"][2]["participantFrames"][str(i+1)]["position"]["y"])
pos_4 = (timeline_info["info"]["frames"][4]["participantFrames"][str(i+1)]["position"]["x"],timeline_info["info"]["frames"][4]["participantFrames"][str(i+1)]["position"]["y"])
pos_6 = (timeline_info["info"]["frames"][6]["participantFrames"][str(i+1)]["position"]["x"],timeline_info["info"]["frames"][6]["participantFrames"][str(i+1)]["position"]["y"])
jungle_minions_2 = timeline_info["info"]["frames"][2]["participantFrames"][str(i+1)]["jungleMinionsKilled"]
jungle_minions_4 = timeline_info["info"]["frames"][4]["participantFrames"][str(i+1)]["jungleMinionsKilled"]
jungle_minions_6 = timeline_info["info"]["frames"][6]["participantFrames"][str(i+1)]["jungleMinionsKilled"]
minions_2 = timeline_info["info"]["frames"][2]["participantFrames"][str(i+1)]["minionsKilled"] - jungle_minions_2
minions_4 = timeline_info["info"]["frames"][4]["participantFrames"][str(i+1)]["minionsKilled"] - jungle_minions_4
minions_6 = timeline_info["info"]["frames"][6]["participantFrames"][str(i+1)]["minionsKilled"] - jungle_minions_6
damage_dealt_2 = timeline_info["info"]["frames"][2]["participantFrames"][str(i+1)]["damageStats"]["totalDamageDoneToChampions"]
damage_dealt_4= timeline_info["info"]["frames"][4]["participantFrames"][str(i+1)]["damageStats"]["totalDamageDoneToChampions"]
damage_dealt_6 = timeline_info["info"]["frames"][6]["participantFrames"][str(i+1)]["damageStats"]["totalDamageDoneToChampions"]
new = Participant(summonerName,championName,teamPosition,goldEarned,gold_2,gold_4,gold_6,pos_2,pos_4,pos_6,jungle_minions_2,jungle_minions_4,jungle_minions_6,minions_2,minions_4,minions_6,damage_dealt_2,damage_dealt_4,damage_dealt_6)
participants.append(new)
return participants
def run():
init_vars()
summoner = input("put summoner name\n")
url = "https://kr.api.riotgames.com/lol/summoner/v4/summoners/by-name/%s?" % (
summoner)
summoner_url = build_url(url, key_param)
summonerData = requests.get(url=summoner_url).json()
print(summoner_url, summonerData)
#need to handle exceptions
summ_id = summonerData['id']
account_id = summonerData['accountId']
puuid = summonerData['puuid']
#get recent 20 matches
url = "https://asia.api.riotgames.com/lol/match/v5/matches/by-puuid/%s/ids?" % (
puuid)
queue_param = ("queue", "420")
match_param = ("type", "ranked")
start_param = ("start", "0")
count_param = ("count", "100")
match_url = build_url(url, match_param, start_param, count_param,
key_param)
print(match_url)
getMatches = requests.get(url=match_url).json()
newclf = joblib.load('my_model.pkl')
for match in getMatches:
print("new match with number ", match)
names = []
participants = analyze(match)
for participant in participants:
addDataFromAPI(participant)
names.append(participant)
prep_x()
normalized = np.transpose(np.array(normalize(total)))
#X_train, X_test, y_train, y_test = train_test_split(normalized,labels,random_state=1, test_size=0.1)
sc_X = StandardScaler()
#X_trainscaled=sc_X.fit_transform(X_train)
X_test = normalized
y_test = labels
X_testscaled = sc_X.fit_transform(X_test)
y_pred = newclf.predict(X_testscaled)
for i in range(len(y_pred)):
print(i)
print(
"predicted %s to play in lane %s(predict) instead of lane %s(true)"
% (names[i].champion, positionsDict[y_pred[i]],
positionsDict[y_test[i]]))
reset()
print(total)
print(labels)
def get_mining_equipment():
"""Get all the mining equipment available on the Cryptocompare website.
Returns:
"""
url = build_url('miningequipment')
data = load_data(url)
print(url)
return data['MiningData']
def get_top_pairs_by_volume(fsym, limit=5):
"""Get top pairs by aggregated trading volume for a currency.
Args:
fsym: FROM symbol.
limit:
Returns:
"""
# load data
url = build_url('pairs', fsym=fsym, limit=limit)
data = load_data(url)
return data['Data']
def get_top_coins_by_volume(tsym, limit=20):
"""Get top coins by trading volume value in the requested currency.
Args:
tsym: TO symbol.
limit:
Returns:
"""
# load data
url = build_url('volumes', tsym=tsym, limit=limit)
data = load_data(url)
return data['Data']
def get_top_exchanges_by_volume(fsym, tsym, limit=5):
"""Get top exchanges by trading volume for the currency pair.
Args:
fsym: FROM symbol.
tsym: TO symbol.
limit:
Returns:
"""
# load data
url = build_url('exchanges', fsym=fsym, tsym=tsym, limit=limit)
data = load_data(url)
price_data = data['Data']
return [{'exchange': p['exchange'],
'volume24hto': p['volume24hTo']} for p in price_data]