def test_data_on_demand():
player_data = over_stats.PlayerProfile('acesarramsan', over_stats.PLAT_PSN)
start_time = time.perf_counter()
player_data.raw_data
end_time = time.perf_counter()
result = end_time - start_time
assert result < 4
def test_data_structure():
player_data = over_stats.PlayerProfile('acesarramsan', over_stats.PLAT_PSN)
assert len(over_stats.MODES) is 2
for mode in over_stats.MODES:
assert type(player_data.comparison_types(mode)) is list
for comparison_type in player_data.comparison_types(mode):
assert type(player_data.comparison_heroes(mode,
comparison_type)) is list
for comparison_hero in player_data.comparison_heroes(
mode, comparison_type):
assert (player_data.comparisons(mode, comparison_type,
comparison_hero)) is not None
assert type(player_data.stat_heroes(mode)) is list
for hero in player_data.stat_heroes(mode):
assert type(player_data.stat_categories(mode, hero)) is list
for category in player_data.stat_categories(mode, hero):
assert type(player_data.stat_names(mode, hero,
category)) is list
for stat_name in player_data.stat_names(mode, hero, category):
assert (player_data.stats(mode, hero, category,
stat_name)) is not None
assert type(player_data.achievement_types()) is list
for achievement_type in player_data.achievement_types():
for achievement in player_data.achievements(achievement_type,
over_stats.ACH_EARNED):
assert type(achievement) is str
for achievement in player_data.achievements(achievement_type,
over_stats.ACH_MISSING):
assert type(achievement) is str
async def ow_load_data(player, modes=['quickplay', 'competitive'],
platform='pc', comparison_type=None, top=5 ):
ow_data = {}
ow_stats = {}
player_data = over_stats.PlayerProfile(player, platform)
player_data.load_data()
for mode in modes:
ow_data[mode] = {}
if comparison_type:
for comparison_hero in player_data.comparison_heroes(mode, comparison_type):
ow_data[mode][comparison_hero] = str(player_data.comparisons(mode, comparison_type, comparison_hero))
stat = '**{} - {}**'.format(player, comparison_type)
ow_stats[stat] = {}
for mode in ow_data:
ow_stats[stat]['**{}**'.format(mode.upper())] = {}
for hero in utils.take(int(top), ow_data[mode]):
ow_stats[stat]['**{}**'.format(mode.upper())]['{}'.format(hero)] = ow_data_formatter(ow_data[mode][hero], comparison_type)
return ow_stats
def test_initialize():
# Test the PC profile
player_data = over_stats.PlayerProfile('zappis#21285')
assert type(player_data.raw_data) is dict
# Test a PC profile by setting the platform parameter
player_data = over_stats.PlayerProfile('zappis#21285', over_stats.PLAT_PC)
assert type(player_data.raw_data) is dict
# Test a PC profile by setting the platform parameter and using Decimals to wrap floats
player_data = over_stats.PlayerProfile('zappis#21285', over_stats.PLAT_PC,
True)
assert type(player_data.raw_data) is dict
# Test a non existing PC profile
with pytest.raises(over_stats.errors.PlayerNotFound):
player_data = over_stats.PlayerProfile('zappis#21286',
over_stats.PLAT_PC, True)
player_data.raw_data
# Test a PSN profile
player_data = over_stats.PlayerProfile('EhhFreezy', over_stats.PLAT_PSN)
assert type(player_data.raw_data) is dict
# Test a non existing PSN profile
with pytest.raises(over_stats.errors.PlayerNotFound):
player_data = over_stats.PlayerProfile('ThisIsNotAnExistingProfile',
over_stats.PLAT_PC, True)
player_data.raw_data
# Test an XBL profile
player_data = over_stats.PlayerProfile('Dethroned', over_stats.PLAT_XBL)
assert type(player_data.raw_data) is dict
# Test a non existing XBL profile
with pytest.raises(over_stats.errors.PlayerNotFound):
player_data = over_stats.PlayerProfile('AnotherNonExistigProfile',
over_stats.PLAT_PC, True)
player_data.raw_data
def find3MostPlayed(battletag):
mostPlayed = {'hero1': {}, 'hero2': {}, 'hero3': {}}
playerData = over_stats.PlayerProfile(battletag)
heroes = playerData.stat_heroes('competitive')
heroesDict = {}
for x in heroes:
if((x != 'ALL HEROES')):
heroesDict[x] = convertTime(playerData.stats('competitive', x, 'Game', 'Time Played'))
for x in range(0,3):
key = findKey(heroesDict, max(heroesDict.values()))
wins = playerData.stats('competitive', key, 'Game', 'Games Won')
total = playerData.stats('competitive', key, 'Game', 'Games Played')
mostPlayed['hero'+str(x+1)] = [key, heroesDict[key], (wins/total)]
heroesDict.pop(key)
mostPlayed['totalPlaytime'] = convertTime(playerData.stats('competitive', 'ALL HEROES', 'Game', 'Time Played'))
mostPlayed['totalWinrate'] = (playerData.stats('competitive', 'ALL HEROES', 'Game', 'Games Won'))/(playerData.stats('competitive', 'ALL HEROES', 'Game', 'Games Played'))
print(mostPlayed)
return mostPlayed
import json
import over_stats
# Initialize a player profile by providing the player tag and the platform.
# the platform is optional and by default it is 'pc'. Other valid values are
# 'xbl' and 'psn'
player_data = over_stats.PlayerProfile('Cyrus#1852')
# or
# player_data = over_stats.PlayerProfile('acesarramsan', over_stats.PLAT_PSN)
# Ther is a bug in the boto3 library that causes it not to be able to handle
# floats. To get around this issue there is flag that you can use to wrap floats
# into a Decimal. Be careful that Decimals cannot be dumped to json.
# player_data = over_stats.PlayerProfile('acesarramsan', over_stats.PLAT_PSN, True)
# Download and parse the profile's data
player_data.load_data()
# Print the entire profile's data in JSON format
# print (json.dumps(player_data.raw_data, indent=4))
# You can also use the helper methods to access the data you want
for mode in over_stats.MODES:
# mode will be 'quickplay' or 'competitive'
# print (f"Game Mode: {mode}")
# print ("Comparison Types Available: " + str(player_data.comparison_types(mode)))
# for comparison_type in player_data.comparison_types(mode):
# # A comparison type will be one of the options in the 'Top Heroes' section, 'Times Played', 'Games Won',
# # 'Weapon Accuracy', etc
# print (f" - Comparison Type: {comparison_type}")
# print (" - Heroes available to compare: " + str(player_data.comparison_heroes(mode, comparison_type)))
def test_json_dump_decimal():
player_data = over_stats.PlayerProfile('acesarramsan', over_stats.PLAT_PSN,
True)
with pytest.raises(TypeError):
result = json.dumps(player_data.raw_data)
def test_json_dump():
player_data = over_stats.PlayerProfile('acesarramsan', over_stats.PLAT_PSN)
result = json.dumps(player_data.raw_data)
assert type(result) is str
def test_object_init_perf():
start_time = time.perf_counter()
player_data = over_stats.PlayerProfile('acesarramsan', over_stats.PLAT_PSN)
end_time = time.perf_counter()
result = end_time - start_time
assert result < 0.0001
import json
import over_stats
# Initialize a player profile by providing the player tag and the platform.
# the platform is optional and by default it is 'pc'. Other valid values are
# 'xbl' and 'psn'
player_data = over_stats.PlayerProfile('ZanyDruid#13868')
# or
# player_data = over_stats.PlayerProfile('acesarramsan', over_stats.PLAT_PSN)
# Ther is a bug in the boto3 library that causes it not to be able to handle
# floats. To get around this issue there is flag that you can use to wrap floats
# into a Decimal. Be careful that Decimals cannot be dumped to json.
# player_data = over_stats.PlayerProfile('acesarramsan', over_stats.PLAT_PSN, True)
# Download and parse the profile's data
player_data.load_data()
# Print the entire profile's data in JSON format
# print (json.dumps(player_data.raw_data, indent=4))
# You can also use the helper methods to access the data you want
for mode in player_data.modes():
# mode will be 'quickplay' or 'competitive'
print(f"Game Mode: {mode}")
print("Comparison Types Available: " +
str(player_data.comparison_types(mode)))
for comparison_type in player_data.comparison_types(mode):
# A comparison type will be one of the options in the 'Top Heroes' section, 'Times Played', 'Games Won',
# 'Weapon Accuracy', etc
print(f" - Comparison Type: {comparison_type}")
