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hero.py
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import pandas as pd
import numpy as np
import json
def get_hero_list(data_df):
'''
:param data_df: df form pls
:return:
'''
units=set(data_df['unit'].to_list())
heros = []
for hero in units:
if type(hero) == str:
if 'CDOTA_Unit_Hero' in hero:
heros.append(hero)
return heros
def get_hero_map(data_df):
heros = get_hero_list(data_df)
npc_form = [hero for hero in list(set(data_df['attackername'])) if (type(hero) == str) and 'hero' in hero]
clean = [hero.replace('npc_dota_hero_','').replace('_','') for hero in npc_form]
clean_map = dict(zip(clean, npc_form))
hero_map = {}
for c in clean:
for h in heros:
h_clean=h.replace('CDOTA_Unit_Hero_','').replace('_','').lower()
if c in h_clean:
hero_map[clean_map[c]]=h
return heros, hero_map
def get_wards(data_df,slot_dict):
'''
:param data_df: the df form pls
:param slot_dict: mapping of slot to heroes, output of get_slot_dict
:return:
'''
heros, hero_map = get_hero_map(data_df)
obs = data_df[data_df['type'] == 'obs'][['time','x','y','ehandle']]
sen = data_df[data_df['type']=='sen'][['time','x','y','ehandle']]
obs = get_wards_hero(data_df, obs, hero_map, 'obs')
sen = get_wards_hero(data_df, sen, hero_map, 'sen')
#obs['unit'] = obs.apply(lambda row: slot_dict[row['slot']]+'_obs', axis=1)
#sen['unit'] = sen.apply(lambda row: slot_dict[row['slot']]+'_sen', axis=1)
#obs = obs.drop(columns=['slot'])
#sen = sen.drop(columns=['slot'])
deobs_inst = data_df[(data_df['targetname']=='npc_dota_observer_wards') & (data_df['type']=='DOTA_COMBATLOG_DEATH') & (data_df['value']==50)]
desen_inst = data_df[(data_df['targetname']=='npc_dota_sentry_wards') & (data_df['type']=='DOTA_COMBATLOG_DEATH') & (data_df['value']==50)]
deobs_list=[]
desen_list=[]
for row in deobs_inst.iterrows():
deobs_list.append(data_df[(data_df['time']==row[1]['time'])&(data_df['type']=='interval')&(data_df['unit']==hero_map[row[1]['attackername']])])
for row in desen_inst.iterrows():
desen_list.append(data_df[(data_df['time'] == row[1]['time']) & (data_df['type'] == 'interval') & (data_df['unit'] == hero_map[row[1]['attackername']])])
deobs = pd.concat(deobs_list)[['time','x','y','slot']]
deobs['unit'] = deobs.apply(lambda row: slot_dict[row['slot']]+'_dob', axis=1)
desen = pd.concat(desen_list)[['time','x','y','slot']]
desen['unit'] = desen.apply(lambda row: slot_dict[row['slot']]+'_dse', axis=1)
return obs, sen, deobs, desen
def get_wards_hero(data_df, wards, hero_map, kind):
attribution = []
kinds = [f'item_ward_{kind}','item_ward_dispenser']
for row in wards.iterrows():
user_row = data_df[(data_df['time']==row[1]['time']) & data_df['inflictor'].isin(kinds)]
if user_row.empty:
user_row = data_df[(data_df['time'] == row[1]['time']+1) & data_df['inflictor'].isin(kinds)]
#TODO: multiple wards placed simultaneously by different heros
aname= user_row['attackername'].values[0]
if aname in hero_map.keys():
attribution.append(hero_map[aname]+'_'+kind)
else:
attribution.append(f'{aname}_{kind}')
wards['unit'] = attribution
return wards
def extend_ward_lives(ward_df):
ward_pos = []
for ward in ward_df.iterrows():
if ward[1]['ehandle'] in ward_df['ehandle'].to_list():
start = ward[1]['time']
end = ward_df[ward_df['ehandle']==ward[1]['ehandle']]['time'].values[0]
ticks = range(start, end+1)
for tick in ticks:
ward_pos.append((tick, ward[1]['x'], ward[1]['y'], ward[1]['ehandle'],ward[1]['unit']))
else:
start = ward[1]['time']
end = start+480
ticks = range(start, end + 1)
for tick in ticks:
ward_pos.append((tick, ward[1]['x'], ward[1]['y'], ward[1]['ehandle'],ward[1]['unit']))
return pd.DataFrame(ward_pos, columns=['time','x','y','ehandle','unit'])
def get_wards_pos(data_df):
heros, hero_map = get_hero_map(data_df)
obs = data_df[data_df['type'] == 'obs'][['time','x','y','ehandle']]
sen = data_df[data_df['type']=='sen'][['time','x','y','ehandle']]
obs = get_wards_hero(data_df, obs, hero_map, 'observer')
sen = get_wards_hero(data_df, sen, hero_map, 'sentry')
deob = []
dese = []
for ob in obs.iterrows():
deob.append(data_df[(data_df['ehandle']==ob[1]['ehandle']) & (data_df['type']=='obs_left')])
deob = pd.concat(deob)[['time','x','y','attackername','ehandle']]
for ob in sen.iterrows():
dese.append(data_df[(data_df['ehandle']==ob[1]['ehandle']) & (data_df['type']=='sen_left')])
dese = pd.concat(dese)[['time','x','y','attackername','ehandle']]
unit = []
for ob in deob.iterrows():
if ob[1]['attackername'] in hero_map.keys():
unit.append(hero_map[ob[1]['attackername']])
else:
unit.append(ob[1]['attackername'])
deob['unit'] = unit
unit = []
for ob in dese.iterrows():
if ob[1]['attackername'] in hero_map.keys():
unit.append(hero_map[ob[1]['attackername']])
else:
unit.append(ob[1]['attackername'])
dese['unit'] = unit
sen_pos = extend_ward_lives(sen)
obs_pos = extend_ward_lives(obs)
return obs, sen, deob, dese, obs_pos, sen_pos
class game:
def get_winner(self):
loser = self.data[(self.data['type']=='DOTA_COMBATLOG_TEAM_BUILDING_KILL') & (self.data['targetname'].isin(['npc_dota_goodguys_fort','npc_dota_badguys_fort']))]['targetname']
if 'goodguys' in loser._values[0]:
winner = 2
if 'badguys' in loser._values[0]:
winner = 1
return winner
def __init__(self, data_df):
self.data = data_df
self.heros, self.hero_map = get_hero_map(data_df)
self.pam_oreh = {v: k for k, v in self.hero_map.items()}
self.observers, self.sentries, self.deobs, self.desen, self.obs_pos, self.sen_pos = get_wards_pos(data_df)
self.ward_deaths = {'obs':[],'sen':[]}
self.winner = self.get_winner()#json.loads(data_df[data_df['type']=='epilogue']['key']._values[0])['gameInfo_']['dota_']['gameWinner_']
class player:
def __init__(self, game, name, npc_name,):
self.name = name
self.game = game
#team 1 is radiant, team 2 is dire
self.team = None
self.npc_name = npc_name
self.natural_name = name.replace('CDOTA_Unit_Hero_','')
self.kills = None
self.deaths = None
self.path = None
self.heros_in_game = None
self.heros_on_team = None
self.wards_placed = {'obs':[],'sen':[]}
self.wards_killed = {'obs':[],'sen':[]}
self.items = None
self.abilities_used = None
self.lane = None
self.farm = None
def get_path(self):
hero_df = self.game.data[self.game.data['unit'] == self.name]
path_df = pd.DataFrame()
path_df['time'] = hero_df['time']
path_df['x'] = hero_df['x']
path_df['y'] = hero_df['y']
path_df['unit'] = hero_df['unit']
self.path = path_df
def get_kills_and_deaths(self):
kills_df = self.game.data[
(self.game.data['type'] == 'DOTA_COMBATLOG_DEATH') & (self.game.data['attackername'] == self.npc_name)]
kills_locs = []
for row in kills_df.iterrows():
if 'hero' in row[1]['targetname']:
kill = self.game.data[(self.game.data['type'] == 'interval') & (self.game.data['unit'] == self.name) & (
self.game.data['time'] == row[1]['time'])][['time', 'x', 'y']]
kill['target'] = row[1]['targetname']
kills_locs.append(kill)
if kills_locs:
self.kills = pd.concat(kills_locs)
deaths_df = self.game.data[
(self.game.data['type'] == 'DOTA_COMBATLOG_DEATH') & (self.game.data['targetname'] == self.npc_name)]
deaths_locs = []
for row in deaths_df.iterrows():
death = self.game.data[(self.game.data['type'] == 'interval') & (self.game.data['unit'] == self.name) & (
self.game.data['time'] == row[1]['time'])][['time', 'x', 'y']]
death['source'] = row[1]['attackername']
deaths_locs.append(death)
if deaths_locs:
self.deaths = pd.concat(deaths_locs)
def get_farm(self):
kills_df = self.game.data[
(self.game.data['type'] == 'DOTA_COMBATLOG_DEATH') & (self.game.data['attackername'] == self.npc_name)]
kills_locs = []
for row in kills_df.iterrows():
if 'hero' not in row[1]['targetname']:
kill = self.game.data[(self.game.data['type'] == 'interval') & (self.game.data['unit'] == self.name) & (
self.game.data['time'] == row[1]['time'])][['time', 'x', 'y']]
kill['target'] = row[1]['targetname']
kills_locs.append(kill)
if kills_locs:
self.farm = pd.concat(kills_locs)
def get_team(self):
if self.path[self.path['time']==self.path['time'].min()][['x','y']].T.sum()._values[0]>200:
self.team = 2
else:
self.team = 1
#Dire = 2, radiant = 1. I wanted 0 indexing but the dota client actually uses this system
def get_wards(self, kind='observer'):
if kind == 'observer':
kind = 'obs'
if kind == 'sentry':
kind = 'sen'
kind_map = {'obs':'observer','sen':'sentry'}
wards = self.game.data[self.game.data['type'] == kind][['time','x','y','ehandle']]
attribution = []
kinds = [f'item_ward_{kind_map[kind]}', 'item_ward_dispenser'] # Dispenser????
ward_list = []
for row in wards.iterrows():
user_row = self.game.data[(self.game.data['time'] == row[1]['time']) & self.game.data['inflictor'].isin(kinds)]
if user_row.empty:
user_row = self.game.data[(self.game.data['time'] == row[1]['time'] + 1) & self.game.data['inflictor'].isin(kinds)]
# TODO: multiple wards placed simultaneously by different heros
aname = user_row['attackername'].values[0]
if aname ==self.npc_name:
attribution.append(self.natural_name + '_' + kind)
ward_list.append(row[1])
if attribution:
wards = pd.DataFrame(ward_list)
wards['unit'] = attribution
self.wards_placed[kind] = wards
deward = []
for ward in wards.iterrows():
deward.append(self.game.data[(self.game.data['ehandle'] == ward[1]['ehandle']) &
(self.game.data['type'] == f'{kind}_left') &
(self.game.data['attackername'] ==self.npc_name)])
deward = pd.concat(deward)[['time', 'x', 'y', 'attackername', 'ehandle']]
self.wards_killed[kind]=deward