def bl_parse_stats(parsed, mode="quickplay"):
# Just a quick FYI
# If future me or future anyone else is looking at this, I do not how this code works.
# I'm really really hoping it doesn't break.
# Good luck!
try:
# XPath for the `u-align-center` h6 which signifies there's no data.
no_data = parsed.xpath(
".//div[@id='{}']//ul/h6[@class='u-align-center']".format(mode))[0]
except IndexError:
pass
else:
if no_data.text.strip(
) == "We don't have any data for this account in this mode yet.":
return None
# Start the dict.
built_dict = {"game_stats": [], "overall_stats": {}, "average_stats": []}
# Shortcut location for player level etc
mast_head = parsed.xpath(".//div[@class='masthead-player']")[0]
# Get the prestige.
prestige = mast_head.xpath(".//div[@class='player-level']")[0]
# Extract the background-image from the styles.
try:
bg_image = [x for x in prestige.values() if 'background-image' in x][0]
except IndexError:
# Cannot find background-image.
# Yikes!
# Don't set a prestige.
built_dict["overall_stats"]["prestige"] = 0
else:
for key, val in PRESTIGE.items():
if key in bg_image:
prestige_num = val
built_dict["overall_stats"]["rank_image"] = bg_image.split(
"(")[1][:-1]
break
else:
# Unknown.
prestige_num = None
built_dict["overall_stats"]["prestige"] = prestige_num
# Parse out the HTML.
level = int(prestige.findall(".//div")[0].text)
built_dict["overall_stats"]["level"] = level
try:
tier = mast_head.xpath(".//div[@class='competitive-rank']/img")[0]
img_src = [x for x in tier.values() if 'rank-icons' in x][0]
except IndexError:
built_dict['overall_stats']['tier'] = None
else:
for key, val in tier_data_img_src.items():
if key in img_src:
tier_str = val
break
else:
tier_str = None
built_dict["overall_stats"]["tier"] = tier_str
hasrank = mast_head.findall(".//div[@class='competitive-rank']/div")
if hasrank:
comprank = int(hasrank[0].text)
else:
comprank = None
built_dict["overall_stats"]["comprank"] = comprank
# Fetch Avatar
built_dict["overall_stats"]["avatar"] = mast_head.find(
".//img[@class='player-portrait']").attrib['src']
if mode == "competitive":
hascompstats = parsed.xpath(
".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)
if len(hascompstats) != 2:
return None
stat_groups = hascompstats[1]
elif mode == "quickplay":
try:
stat_groups = parsed.xpath(
".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
except IndexError:
# User has no stats...
return None
else:
# how else to handle fallthrough case?
stat_groups = parsed.xpath(
".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
# Highlight specific stat groups.
try:
game_box = stat_groups[6]
except IndexError:
try:
game_box = stat_groups[5]
except IndexError:
# edge cases...
# we can't really extract any more stats
# so we do an early return
return {}
# Calculate the wins, losses, and win rate.
try:
wins = int(
game_box.xpath(".//text()[. = 'Games Won']/../..")[0]
[1].text.replace(",", ""))
except IndexError:
# weird edge case
wins = 0
g = game_box.xpath(".//text()[. = 'Games Played']/../..")
if len(g) < 1:
# Blizzard f****d up, temporary quick fix for #70
games, losses = None, None
else:
games = int(g[0][1].text.replace(",", ""))
if mode == "competitive":
try:
misc_box = stat_groups[7]
losses = int(
misc_box.xpath(".//text()[. = 'Games Lost']/../..")[0]
[1].text.replace(",", ""))
ties = int(
misc_box.xpath(".//text()[. = 'Games Tied']/../..")[0]
[1].text.replace(",", ""))
except IndexError:
# Sometimes the losses and ties don't exist.
# I'm not 100% as to what causes this, but it might be because there are no ties.
# In this case, just set ties to 0, and calculate losses manually.
ties = 0
# Quickplay shit.
# Goddamnit blizzard.
if games is None:
losses = 0
games = 0
wins = 0
else:
# Competitive stats do have these values (for now...)
losses = games - wins
if games == 0 or games == ties:
wr = 0
else:
wr = round((wins / (games - ties)) * 100, 2)
built_dict["overall_stats"]["ties"] = ties
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["win_rate"] = wr
# Update the dictionary.
built_dict["overall_stats"]["wins"] = wins
# Build a dict using the stats.
_t_d = {}
_a_d = {}
for subbox in stat_groups:
trs = subbox.findall(".//tbody/tr")
# Update the dict with [0]: [1]
for subval in trs:
name, value = util.sanitize_string(subval[0].text), subval[1].text
# Try and parse out the value. It might be a time!
# If so, try and extract the time.
nvl = util.try_extract(value)
if 'average' in name.lower():
_a_d[name.replace("_average", "_avg")] = nvl
else:
_t_d[name] = nvl
# Manually add the KPD.
try:
_t_d["kpd"] = round(_t_d["eliminations"] / _t_d["deaths"], 2)
except KeyError:
# They don't have any eliminations/deaths.
# Set the KPD to 0.0.
# See: #106
_t_d["kpd"] = 0
built_dict["game_stats"] = _t_d
built_dict["average_stats"] = _a_d
built_dict["competitive"] = mode == "competitive"
if not "games" in built_dict["overall_stats"]:
# manually calculate it
dmg_done = built_dict["game_stats"]["damage_done"]
avg_dmgd = built_dict["average_stats"]["damage_done_avg"]
# IT RETURNS
games = int(dmg_done // avg_dmgd)
losses = games - built_dict["overall_stats"]["wins"]
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["win_rate"] = round(
(built_dict["overall_stats"]["wins"] / games) * 100, 2)
return built_dict
async def bl_get_stats(mode, ctx, battletag):
data = await bz.region_helper_v2(ctx, battletag, region=ctx.request.args.get("region", None),
platform=ctx.request.args.get("platform", "pc"))
if data == (None, None):
raise HTTPException(404)
parsed, region = data
# Start the dict.
built_dict = {"region": region, "battletag": battletag, "game_stats": [], "overall_stats": {}, "average_stats": []}
# Get the prestige.
prestige = parsed.xpath(".//div[@class='player-level']")[0]
# Extract the background-image from the styles.
try:
bg_image = [x for x in prestige.values() if 'background-image' in x][0]
except IndexError:
# Cannot find background-image.
# Yikes!
# Don't set a prestige.
built_dict["overall_stats"]["prestige"] = 0
else:
for key, val in PRESTIGE.items():
if key in bg_image:
prestige_num = val
break
else:
# Unknown.
prestige_num = None
built_dict["overall_stats"]["prestige"] = prestige_num
# Parse out the HTML.
level = int(parsed.findall(".//div[@class='player-level']/div")[0].text)
built_dict["overall_stats"]["level"] = level
hasrank = parsed.findall(".//div[@class='competitive-rank']/div")
if hasrank:
comprank = int(hasrank[0].text)
else:
comprank = None
built_dict["overall_stats"]["comprank"] = comprank
# Fetch Avatar
built_dict["overall_stats"]["avatar"] = parsed.find(".//img[@class='player-portrait']").attrib['src']
if mode == "competitive":
hascompstats = parsed.xpath(".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']")
if len(hascompstats) != 2:
return {"error": 404, "msg": "competitive stats not found", "region": region}, 404
stat_groups = hascompstats[1]
elif mode == "quickplay":
stat_groups = parsed.xpath(".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']")[0]
else:
# how else to handle fallthrough case?
stat_groups = parsed.xpath(".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']")[0]
# Highlight specific stat groups.
death_box = stat_groups[4]
try:
game_box = stat_groups[6]
except IndexError:
game_box = stat_groups[5]
# Calculate the wins, losses, and win rate.
try:
wins = int(game_box.xpath(".//text()[. = 'Games Won']/../..")[0][1].text.replace(",", ""))
except IndexError:
# weird edge case
wins = 0
g = game_box.xpath(".//text()[. = 'Games Played']/../..")
if len(g) < 1:
# Blizzard f****d up, temporary quick fix for #70
games, losses = 0, 0
wr = 0
else:
games = int(g[0][1].text.replace(",", ""))
losses = games - wins
wr = floor((wins / games) * 100)
# Update the dictionary.
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["wins"] = wins
built_dict["overall_stats"]["win_rate"] = wr
# Build a dict using the stats.
_t_d = {}
_a_d = {}
for subbox in stat_groups:
trs = subbox.findall(".//tbody/tr")
# Update the dict with [0]: [1]
for subval in trs:
name, value = subval[0].text.lower().replace(" ", "_").replace("_-_", "_"), subval[1].text
# Try and parse out the value. It might be a time!
# If so, try and extract the time.
nvl = util.try_extract(value)
if 'average' in name.lower():
_a_d[name.replace("_average", "_avg")] = nvl
else:
_t_d[name] = nvl
# Manually add the KPD.
_t_d["kpd"] = round(_t_d["eliminations"] / _t_d["deaths"], 2)
built_dict["game_stats"] = _t_d
built_dict["average_stats"] = _a_d
built_dict["competitive"] = mode == "competitive"
return built_dict
def bl_parse_stats(parsed, mode="quickplay"):
# Start the dict.
built_dict = {"game_stats": [], "overall_stats": {}, "average_stats": []}
# Get the prestige.
prestige = parsed.xpath(".//div[@class='player-level']")[0]
# Extract the background-image from the styles.
try:
bg_image = [x for x in prestige.values() if 'background-image' in x][0]
except IndexError:
# Cannot find background-image.
# Yikes!
# Don't set a prestige.
built_dict["overall_stats"]["prestige"] = 0
else:
for key, val in PRESTIGE.items():
if key in bg_image:
prestige_num = val
break
else:
# Unknown.
prestige_num = None
built_dict["overall_stats"]["prestige"] = prestige_num
# Parse out the HTML.
level = int(parsed.findall(".//div[@class='player-level']/div")[0].text)
built_dict["overall_stats"]["level"] = level
hasrank = parsed.findall(".//div[@class='competitive-rank']/div")
if hasrank:
comprank = int(hasrank[0].text)
else:
comprank = None
built_dict["overall_stats"]["comprank"] = comprank
# Fetch Avatar
built_dict["overall_stats"]["avatar"] = parsed.find(
".//img[@class='player-portrait']").attrib['src']
if mode == "competitive":
hascompstats = parsed.xpath(
".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)
if len(hascompstats) != 2:
return {}
stat_groups = hascompstats[1]
elif mode == "quickplay":
stat_groups = parsed.xpath(
".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
else:
# how else to handle fallthrough case?
stat_groups = parsed.xpath(
".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
# Highlight specific stat groups.
try:
game_box = stat_groups[6]
except IndexError:
try:
game_box = stat_groups[5]
except IndexError:
# edge cases...
# we can't really extract any more stats
# so we do an early return
return {}
# Calculate the wins, losses, and win rate.
try:
wins = int(
game_box.xpath(".//text()[. = 'Games Won']/../..")[0]
[1].text.replace(",", ""))
except IndexError:
# weird edge case
wins = 0
g = game_box.xpath(".//text()[. = 'Games Played']/../..")
if len(g) < 1:
# Blizzard f****d up, temporary quick fix for #70
games, losses = None, None
wr = 0
else:
games = int(g[0][1].text.replace(",", ""))
losses = games - wins
wr = floor((wins / games) * 100)
# Update the dictionary.
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["wins"] = wins
built_dict["overall_stats"]["win_rate"] = wr
# Build a dict using the stats.
_t_d = {}
_a_d = {}
for subbox in stat_groups:
trs = subbox.findall(".//tbody/tr")
# Update the dict with [0]: [1]
for subval in trs:
name, value = util.sanitize_string(subval[0].text), subval[1].text
# Try and parse out the value. It might be a time!
# If so, try and extract the time.
nvl = util.try_extract(value)
if 'average' in name.lower():
_a_d[name.replace("_average", "_avg")] = nvl
else:
_t_d[name] = nvl
# Manually add the KPD.
_t_d["kpd"] = round(_t_d["eliminations"] / _t_d["deaths"], 2)
built_dict["game_stats"] = _t_d
built_dict["average_stats"] = _a_d
built_dict["competitive"] = mode == "competitive"
return built_dict
def bl_parse_stats(parsed, mode="quickplay"):
# Just a quick FYI
# If future me or future anyone else is looking at this, I do not how this code works.
# I'm really really hoping it doesn't break.
# Good luck!
try:
# XPath for the `u-align-center` h6 which signifies there's no data.
no_data = parsed.xpath(".//div[@id='{}']//ul/h6[@class='u-align-center']".format(mode))[0]
except IndexError:
pass
else:
if no_data.text.strip() == "We don't have any data for this account in this mode yet.":
return None
# Start the dict.
built_dict = {"game_stats": [], "overall_stats": {}, "average_stats": []}
# Shortcut location for player level etc
mast_head = parsed.xpath(".//div[@class='masthead-player']")[0]
# Get the prestige.
prestige = mast_head.xpath(".//div[@class='player-level']")[0]
# Extract the background-image from the styles.
try:
bg_image = [x for x in prestige.values() if 'background-image' in x][0]
except IndexError:
# Cannot find background-image.
# Yikes!
# Don't set a prestige.
built_dict["overall_stats"]["prestige"] = 0
else:
for key, val in PRESTIGE.items():
if key in bg_image:
prestige_num = val
built_dict["overall_stats"]["rank_image"] = bg_image.split("(")[1][:-1]
break
else:
# Unknown.
prestige_num = None
built_dict["overall_stats"]["prestige"] = prestige_num
# Parse out the HTML.
level = int(prestige.findall(".//div")[0].text)
built_dict["overall_stats"]["level"] = level
try:
tier = mast_head.xpath(".//div[@class='competitive-rank']/img")[0]
img_src = [x for x in tier.values() if 'rank-icons' in x][0]
except IndexError:
built_dict['overall_stats']['tier'] = None
else:
for key, val in tier_data_img_src.items():
if key in img_src:
tier_str = val
break
else:
tier_str = None
built_dict["overall_stats"]["tier"] = tier_str
hasrank = mast_head.findall(".//div[@class='competitive-rank']/div")
if hasrank:
comprank = int(hasrank[0].text)
else:
comprank = None
built_dict["overall_stats"]["comprank"] = comprank
# Fetch Avatar
built_dict["overall_stats"]["avatar"] = mast_head.find(
".//img[@class='player-portrait']"
).attrib['src']
if mode == "competitive":
# the competitive overview is under a div with id='competitive'
# and the right category
try:
stat_groups = parsed.xpath(
".//div[@id='competitive']"
"//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
except IndexError:
# No stats
return None
elif mode == "quickplay":
try:
stat_groups = parsed.xpath(
".//div[@id='quickplay']"
"//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
except IndexError:
# User has no stats...
return None
else:
# how else to handle fallthrough case?
stat_groups = parsed.xpath(
".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
# Highlight specific stat groups.
try:
game_box = stat_groups[6]
except IndexError:
try:
game_box = stat_groups[5]
except IndexError:
# edge cases...
# we can't really extract any more stats
# so we do an early return
return {}
# Calculate the wins, losses, and win rate.
try:
wins = int(game_box.xpath(".//text()[. = 'Games Won']/../..")[0][1].text.replace(",", ""))
except IndexError:
# weird edge case
wins = 0
g = game_box.xpath(".//text()[. = 'Games Played']/../..")
if len(g) < 1:
# Blizzard f****d up, temporary quick fix for #70
games, losses = None, None
else:
games = int(g[0][1].text.replace(",", ""))
if mode == "competitive":
try:
misc_box = stat_groups[7]
losses = int(misc_box.xpath(".//text()[. = 'Games Lost']/../..")[0][1].text
.replace(",", ""))
ties = int(misc_box.xpath(".//text()[. = 'Games Tied']/../..")[0][1].text
.replace(",", ""))
except IndexError:
# Sometimes the losses and ties don't exist.
# I'm not 100% as to what causes this, but it might be because there are no ties.
# In this case, just set ties to 0, and calculate losses manually.
ties = 0
# Quickplay shit.
# Goddamnit blizzard.
if games is None:
losses = 0
games = 0
wins = 0
else:
# Competitive stats do have these values (for now...)
losses = games - wins
if games == 0 or games == ties:
wr = 0
else:
wr = round((wins / (games - ties)) * 100, 2)
built_dict["overall_stats"]["ties"] = ties
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["win_rate"] = wr
# Update the dictionary.
built_dict["overall_stats"]["wins"] = wins
# Build a dict using the stats.
_t_d = {}
_a_d = {}
for subbox in stat_groups:
trs = subbox.findall(".//tbody/tr")
# Update the dict with [0]: [1]
for subval in trs:
name, value = util.sanitize_string(subval[0].text), subval[1].text
# Try and parse out the value. It might be a time!
# If so, try and extract the time.
nvl = util.try_extract(value)
if 'average' in name.lower():
_a_d[name.replace("_average", "_avg")] = nvl
else:
_t_d[name] = nvl
# Manually add the KPD.
try:
_t_d["kpd"] = round(_t_d["eliminations"] / _t_d["deaths"], 2)
except KeyError:
# They don't have any eliminations/deaths.
# Set the KPD to 0.0.
# See: #106
_t_d["kpd"] = 0
built_dict["game_stats"] = _t_d
built_dict["average_stats"] = _a_d
built_dict["competitive"] = mode == "competitive"
if "games" not in built_dict["overall_stats"]:
# manually calculate it
# 2017-07-04 - changed to use eliminations
# since damage done gave a bit of a stupid amount
# 2017-07-11 - changed to cycle some averages
average_keys = ("eliminations", "healing_done", "final_blows", "objective_kills")
for key in average_keys:
try:
total = built_dict["game_stats"][key]
avg = built_dict["average_stats"][key + "_avg"]
except KeyError:
continue
else:
got = True
break
else:
got = False
if got:
games = int(total // avg)
losses = games - built_dict["overall_stats"]["wins"]
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["win_rate"] = round(
(built_dict["overall_stats"]["wins"] / games) * 100, 2
)
else:
# lol make them up
built_dict["overall_stats"]["games"] = 0
built_dict["overall_stats"]["losses"] = 0
built_dict["overall_stats"]["win_rate"] = 0
return built_dict
def bl_parse_stats(parsed, mode="quickplay", status=None):
# Just a quick FYI
# If future me or future anyone else is looking at this, I do not how this code works.
# I'm really really hoping it doesn't break.
# Good luck!
try:
# XPath for the `u-align-center` h6 which signifies there's no data.
no_data = parsed.xpath(
".//div[@id='{}']//ul/h6[@class='u-align-center']".format(mode))[0]
except IndexError:
pass
else:
if no_data.text.strip(
) == "We don't have any data for this account in this mode yet.":
return None
# Start the dict.
built_dict = {"game_stats": [], "overall_stats": {}, "average_stats": []}
# Shortcut location for player level etc
if not status or status.lower() != "public profile":
hasrank = parsed.xpath(
'//*[@id="overview-section"]/div/div/div/div/div[2]/div/div[3]/div'
)
if hasrank:
comprank = int(hasrank[0].text)
else:
comprank = None
built_dict["overall_stats"]["comprank"] = comprank
return built_dict
mast_head = parsed.xpath(".//div[@class='masthead-player']")[0]
# Get the prestige.
prestige = mast_head.xpath(".//div[@class='player-level']")[0]
# Extract the background-image from the styles.
try:
bg_image = [x for x in prestige.values() if 'background-image' in x][0]
except IndexError:
# Cannot find background-image.
# Yikes!
# Don't set a prestige.
built_dict["overall_stats"]["prestige"] = 0
else:
for key, val in PRESTIGE.items():
if key in bg_image:
prestige_num = val
built_dict["overall_stats"]["rank_image"] = bg_image.split(
"(")[1][:-1]
break
else:
# Unknown.
prestige_num = None
built_dict["overall_stats"]["prestige"] = prestige_num
# Parse out the HTML.
level = int(prestige.findall(".//div")[0].text)
built_dict["overall_stats"]["level"] = level
# Get and parse out endorsement level.
endorsement = mast_head.xpath(".//div[@class='endorsement-level']")[0]
built_dict["overall_stats"]["endorsement_level"] = int(
endorsement.findall(".//div[@class='u-center']")[0].text)
# Get endorsement circle.
endorsement_icon_inner = mast_head.xpath(
".//div[@class='endorsement-level']/div[@class='EndorsementIcon']/div[@class='EndorsementIcon-inner']"
)[0]
# Get individual endorsement segments.
try:
endorsement_shotcaller_image = endorsement_icon_inner.findall(
".//svg[@class='EndorsementIcon-border EndorsementIcon-border--shotcaller']"
)[0]
endorsement_shotcaller_level = endorsement_shotcaller_image.get(
'data-value')
except:
endorsement_shotcaller_level = 0
try:
endorsement_teammate_image = endorsement_icon_inner.findall(
".//svg[@class='EndorsementIcon-border EndorsementIcon-border--teammate']"
)[0]
endorsement_teammate_level = endorsement_teammate_image.get(
'data-value')
except:
endorsement_teammate_level = 0
try:
endorsement_sportsmanship_image = endorsement_icon_inner.findall(
".//svg[@class='EndorsementIcon-border EndorsementIcon-border--sportsmanship']"
)[0]
endorsement_sportsmanship_level = endorsement_sportsmanship_image.get(
'data-value')
except:
endorsement_sportsmanship_level = 0
# Parse out endorsement segements.
built_dict["overall_stats"][
"endorsement_shotcaller"] = endorsement_shotcaller_level
built_dict["overall_stats"][
"endorsement_teammate"] = endorsement_teammate_level
built_dict["overall_stats"][
"endorsement_sportsmanship"] = endorsement_sportsmanship_level
# Get comp rank.
try:
tier = mast_head.xpath(".//div[@class='competitive-rank']/img")[0]
img_src = [x for x in tier.values() if 'rank-icons' in x][0]
built_dict["overall_stats"]["tier_image"] = img_src
except IndexError:
built_dict['overall_stats']['tier'] = None
else:
for key, val in tier_data_img_src.items():
if key in img_src:
tier_str = val
break
else:
tier_str = None
built_dict["overall_stats"]["tier"] = tier_str
hasrank = mast_head.findall(".//div[@class='competitive-rank']/div")
if hasrank:
comprank = int(hasrank[0].text)
else:
comprank = None
built_dict["overall_stats"]["comprank"] = comprank
# Fetch Avatar
built_dict["overall_stats"]["avatar"] = mast_head.find(
".//img[@class='player-portrait']").attrib['src']
if mode == "competitive":
# the competitive overview is under a div with id='competitive'
# and the right category
try:
stat_groups = parsed.xpath(
".//div[@id='competitive']"
"//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
except IndexError:
# No stats
return None
elif mode == "quickplay":
try:
stat_groups = parsed.xpath(
".//div[@id='quickplay']"
"//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
except IndexError:
# User has no stats...
return None
else:
# how else to handle fallthrough case?
stat_groups = parsed.xpath(
".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']"
)[0]
# Highlight specific stat groups.
try:
game_box = stat_groups[5]
except IndexError:
try:
game_box = stat_groups[4]
except IndexError:
# edge cases...
# we can't really extract any more stats
# so we do an early return
return {}
# Calculate the wins, losses, and win rate.
try:
wins = int(
game_box.xpath(".//text()[. = 'Games Won']/../..")[0]
[1].text.replace(",", ""))
except IndexError:
# weird edge case
wins = 0
g = game_box.xpath(".//text()[. = 'Games Played']/../..")
if len(g) < 1:
# Blizzard f****d up, temporary quick fix for #70
games, losses = None, None
else:
games = int(g[0][1].text.replace(",", ""))
if mode == "competitive":
try:
misc_box = stat_groups[7]
losses = int(
misc_box.xpath(".//text()[. = 'Games Lost']/../..")[0]
[1].text.replace(",", ""))
ties = int(
misc_box.xpath(".//text()[. = 'Games Tied']/../..")[0]
[1].text.replace(",", ""))
except IndexError:
# Sometimes the losses and ties don't exist.
# I'm not 100% as to what causes this, but it might be because there are no ties.
# In this case, just set ties to 0, and calculate losses manually.
ties = 0
# Quickplay shit.
# Goddamnit blizzard.
if games is None:
losses = 0
games = 0
wins = 0
else:
# Competitive stats do have these values (for now...)
losses = games - wins
if games == 0 or games == ties:
wr = 0
else:
wr = round((wins / (games - ties)) * 100, 2)
built_dict["overall_stats"]["ties"] = ties
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["win_rate"] = wr
# Update the dictionary.
built_dict["overall_stats"]["wins"] = wins
# Build a dict using the stats.
game_stats = {}
average_stats = {}
rolling_average_stats = {}
for subbox in stat_groups:
trs = subbox.findall(".//tbody/tr")
# Update the dict with [0]: [1]
for subval in trs:
name, value = util.sanitize_string(subval[0].text), subval[1].text
# Try and parse out the value. It might be a time!
# If so, try and extract the time.
nvl = util.try_extract(value)
if 'average' in name.lower():
average_stats[name.replace("_average", "_avg")] = nvl
elif '_avg_per_10_min' in name.lower():
# 2017-08-03 - calculate rolling averages.
name = name.lower().replace("_avg_per_10_min", "")
rolling_average_stats[name] = nvl
else:
game_stats[name] = nvl
# Manually add the KPD.
try:
game_stats["kpd"] = round(
game_stats["eliminations"] / game_stats["deaths"], 2)
except KeyError:
# They don't have any eliminations/deaths.
# Set the KPD to 0.0.
# See: #106
game_stats["kpd"] = 0
built_dict["game_stats"] = game_stats
built_dict["average_stats"] = average_stats
built_dict["rolling_average_stats"] = rolling_average_stats
built_dict["competitive"] = mode == "competitive"
if "games" not in built_dict["overall_stats"]:
# manually calculate it
# 2017-07-04 - changed to use eliminations
# since damage done gave a bit of a stupid amount
# 2017-07-11 - changed to cycle some averages
average_keys = ("eliminations", "healing_done", "final_blows",
"objective_kills")
for key in average_keys:
try:
total = built_dict["game_stats"][key]
avg = built_dict["average_stats"][key + "_avg"]
except KeyError:
continue
else:
got = True
break
else:
got = False
if got:
games = int(total // avg)
losses = games - built_dict["overall_stats"]["wins"]
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["win_rate"] = round(
(built_dict["overall_stats"]["wins"] / games) * 100, 2)
else:
# lol make them up
built_dict["overall_stats"]["games"] = 0
built_dict["overall_stats"]["losses"] = 0
built_dict["overall_stats"]["win_rate"] = 0
return built_dict
async def bl_get_compstats(ctx: HTTPRequestContext, battletag: str):
"""
Get stats for a user using the Blizzard sources.
"""
data = await bz.region_helper(ctx, battletag, region=ctx.request.values.get("region", None))
if data == (None, None):
raise HTTPException(404)
parsed, region = data
# Start the dict.
built_dict = {"region": region, "battletag": battletag, "game_stats": [], "overall_stats": {}, "average_stats": []}
# Get the prestige.
prestige = parsed.xpath(".//div[@class='player-level']")[0]
# Extract the background-image from the styles.
try:
bg_image = [x for x in prestige.values() if 'background-image' in x][0]
except IndexError:
# Cannot find background-image.
# Yikes!
# Don't set a prestige.
built_dict["overall_stats"]["prestige"] = 0
else:
for key, val in PRESTIGE.items():
if key in bg_image:
prestige_num = val
break
else:
# Unknown.
prestige_num = None
built_dict["overall_stats"]["prestige"] = prestige_num
# Parse out the HTML.
level = int(parsed.findall(".//div[@class='player-level']/div")[0].text)
built_dict["overall_stats"]["level"] = level
hasrank = parsed.findall(".//div[@class='competitive-rank']/div")
if hasrank:
comprank = int(hasrank[0].text)
else:
comprank = None
built_dict["overall_stats"]["comprank"] = comprank
# Fetch Avatar
built_dict["overall_stats"]["avatar"] = parsed.find(".//img[@class='player-portrait']").attrib['src']
hascompstats = parsed.xpath(".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']")
if len(hascompstats) != 2:
return {"error": 404, "msg": "competitive stats not found", "region": region}, 404
stat_groups = hascompstats[1]
# Highlight specific stat groups.
death_box = stat_groups[4]
game_box = stat_groups[6]
# Calculate the wins, losses, and win rate.
wins = int(game_box.xpath(".//text()[. = 'Games Won']/../..")[0][1].text.replace(",", ""))
g = game_box.xpath(".//text()[. = 'Games Played']/../..")
games = int(g[0][1].text.replace(",", ""))
losses = games - wins
wr = floor((wins / games) * 100)
# Update the dictionary.
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["wins"] = wins
built_dict["overall_stats"]["win_rate"] = wr
#built_dict["overall_stats"]["rank"] = None # We don't have a rank in Blizz data.
#since it always returns Null, this should be disabled for now
# Build a dict using the stats.
_t_d = {}
_a_d = {}
for subbox in stat_groups:
trs = subbox.findall(".//tbody/tr")
# Update the dict with [0]: [1]
for subval in trs:
name, value = subval[0].text.lower().replace(" ", "_").replace("_-_", "_"), subval[1].text
nvl = util.try_extract(value)
if 'average' in name.lower():
_a_d[name.replace("_average", "_avg")] = nvl
else:
_t_d[name] = nvl
# Manually add the KPD.
_t_d["kpd"] = round(_t_d["eliminations"] / _t_d["deaths"], 2)
built_dict["game_stats"] = _t_d
built_dict["average_stats"] = _a_d
return built_dict
def bl_parse_stats(parsed, mode="quickplay"):
# Start the dict.
built_dict = {"game_stats": [], "overall_stats": {}, "average_stats": []}
# Get the prestige.
prestige = parsed.xpath(".//div[@class='player-level']")[0]
# Extract the background-image from the styles.
try:
bg_image = [x for x in prestige.values() if 'background-image' in x][0]
except IndexError:
# Cannot find background-image.
# Yikes!
# Don't set a prestige.
built_dict["overall_stats"]["prestige"] = 0
else:
for key, val in PRESTIGE.items():
if key in bg_image:
prestige_num = val
break
else:
# Unknown.
prestige_num = None
built_dict["overall_stats"]["prestige"] = prestige_num
# Parse out the HTML.
level = int(parsed.findall(".//div[@class='player-level']/div")[0].text)
built_dict["overall_stats"]["level"] = level
hasrank = parsed.findall(".//div[@class='competitive-rank']/div")
if hasrank:
comprank = int(hasrank[0].text)
else:
comprank = None
built_dict["overall_stats"]["comprank"] = comprank
# Fetch Avatar
built_dict["overall_stats"]["avatar"] = parsed.find(".//img[@class='player-portrait']").attrib['src']
if mode == "competitive":
hascompstats = parsed.xpath(".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']")
if len(hascompstats) != 2:
return {}
stat_groups = hascompstats[1]
elif mode == "quickplay":
try:
stat_groups = parsed.xpath(".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']")[0]
except IndexError:
# User has no stats...
return {}
else:
# how else to handle fallthrough case?
stat_groups = parsed.xpath(".//div[@data-group-id='stats' and @data-category-id='0x02E00000FFFFFFFF']")[0]
# Highlight specific stat groups.
try:
game_box = stat_groups[6]
except IndexError:
try:
game_box = stat_groups[5]
except IndexError:
# edge cases...
# we can't really extract any more stats
# so we do an early return
return {}
# Calculate the wins, losses, and win rate.
try:
wins = int(game_box.xpath(".//text()[. = 'Games Won']/../..")[0][1].text.replace(",", ""))
except IndexError:
# weird edge case
wins = 0
g = game_box.xpath(".//text()[. = 'Games Played']/../..")
if len(g) < 1:
# Blizzard f****d up, temporary quick fix for #70
games, losses = None, None
else:
games = int(g[0][1].text.replace(",", ""))
if mode == "competitive":
try:
misc_box = stat_groups[7]
losses = int(misc_box.xpath(".//text()[. = 'Games Lost']/../..")[0][1].text.replace(",", ""))
ties = int(misc_box.xpath(".//text()[. = 'Games Tied']/../..")[0][1].text.replace(",", ""))
except IndexError:
# Sometimes the losses and ties don't exist.
# I'm not 100% as to what causes this, but it might be because there are no ties.
# In this case, just set ties to 0, and calculate losses manually.
ties = 0
# Quickplay shit.
# Goddamnit blizzard.
if games is None:
losses = 0
games = 0
wins = 0
else:
# Competitive stats do have these values (for now...)
losses = games - wins
if games == 0 or games == ties:
wr = 0
else:
wr = floor((wins / (games - ties)) * 100)
built_dict["overall_stats"]["ties"] = ties
built_dict["overall_stats"]["games"] = games
built_dict["overall_stats"]["losses"] = losses
built_dict["overall_stats"]["win_rate"] = wr
# Update the dictionary.
built_dict["overall_stats"]["wins"] = wins
# Build a dict using the stats.
_t_d = {}
_a_d = {}
for subbox in stat_groups:
trs = subbox.findall(".//tbody/tr")
# Update the dict with [0]: [1]
for subval in trs:
name, value = util.sanitize_string(subval[0].text), subval[1].text
# Try and parse out the value. It might be a time!
# If so, try and extract the time.
nvl = util.try_extract(value)
if 'average' in name.lower():
_a_d[name.replace("_average", "_avg")] = nvl
else:
_t_d[name] = nvl
# Manually add the KPD.
try:
_t_d["kpd"] = round(_t_d["eliminations"] / _t_d["deaths"], 2)
except KeyError:
# They don't have any eliminations/deaths.
# Set the KPD to 0.0.
# See: #106
_t_d["kpd"] = 0
built_dict["game_stats"] = _t_d
built_dict["average_stats"] = _a_d
built_dict["competitive"] = mode == "competitive"
return built_dict