def _load_matches(self, w, filename, start_index=0, num=10000):
print("Loading matches from: '{}'".format(filename))
i = 0
abs_path = os.path.join(settings.BASE_DIR, 'item_analyzer', 'dataset', filename)
cache_dir = os.path.join(settings.BASE_DIR, 'item_analyzer', 'dataset', 'cache')
with open(abs_path, 'r') as mfile:
matches = json.load(mfile)
if(start_index):
matches[start_index:]
for match_id in matches:
print('Loading match: {}'.format(match_id))
while(True):
if(w.can_make_request()):
if(i == num):
return
try:
match_dict = w.get_match(match_id, include_timeline=True)
match = Match.from_dict(match_dict)
with open(os.path.join(cache_dir, "{}.pkl".format(match_id)), 'wb') as f:
pickle.dump(match_dict, f)
i+=1
break
except LoLException as le:
print('League says: {}'.format(le.error))
time.sleep(2)
else:
print('Too many queries!')
pass
time.sleep(1)
def _load_match(self, filename):
print("Loading match from: '{}'".format(filename))
abs_path = os.path.join(settings.BASE_DIR, "item_analyzer", "dataset", filename)
with open(abs_path, "r") as mfile:
match_data = json.load(mfile)
match = Match.from_dict(match_data)
match.save()
def _load_match(self, filename):
print("Loading match from: '{}'".format(filename))
abs_path = os.path.join(settings.BASE_DIR, 'item_analyzer', 'dataset', filename)
with open(abs_path, 'r') as mfile:
match_data = json.load(mfile)
match = Match.from_dict(match_data)
match.save()
