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2.1.1: Fixed new profile.

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This commit is contained in:
Jacky Yang
2026-01-28 01:38:45 +08:00
parent 4afb728bfa
commit a5a9016b7f
9 changed files with 190 additions and 50 deletions
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68
web/services/feature_service.py
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@@ -1202,6 +1202,18 @@ class FeatureService:
df['rd_phase_death_early_share'] = 0.0
df['rd_phase_death_mid_share'] = 0.0
df['rd_phase_death_late_share'] = 0.0
df['rd_phase_kill_early_share_t'] = 0.0
df['rd_phase_kill_mid_share_t'] = 0.0
df['rd_phase_kill_late_share_t'] = 0.0
df['rd_phase_kill_early_share_ct'] = 0.0
df['rd_phase_kill_mid_share_ct'] = 0.0
df['rd_phase_kill_late_share_ct'] = 0.0
df['rd_phase_death_early_share_t'] = 0.0
df['rd_phase_death_mid_share_t'] = 0.0
df['rd_phase_death_late_share_t'] = 0.0
df['rd_phase_death_early_share_ct'] = 0.0
df['rd_phase_death_mid_share_ct'] = 0.0
df['rd_phase_death_late_share_ct'] = 0.0
df['rd_firstdeath_team_first_death_rounds'] = 0
df['rd_firstdeath_team_first_death_win_rate'] = 0.0
df['rd_invalid_death_rounds'] = 0
@@ -1268,6 +1280,62 @@ class FeatureService:
df[c] = df[f'{c}_calc'].fillna(df[c])
df.drop(columns=[f'{c}_calc'], inplace=True)
if 'attacker_side' in df_events.columns:
k_side = df_events[df_events['attacker_side'].isin(['CT', 'T'])].copy()
if not k_side.empty:
k_cnt_side = k_side.groupby(['attacker_steam_id', 'attacker_side', 'phase_bucket']).size().reset_index(name='cnt')
k_piv = k_cnt_side.pivot_table(index=['attacker_steam_id', 'attacker_side'], columns='phase_bucket', values='cnt', fill_value=0)
k_piv['tot'] = k_piv.sum(axis=1).replace(0, 1)
k_piv = k_piv.div(k_piv['tot'], axis=0).drop(columns=['tot'])
k_piv = k_piv.reset_index().rename(columns={'attacker_steam_id': 'steam_id_64'})
for side, suffix in [('T', '_t'), ('CT', '_ct')]:
tmp = k_piv[k_piv['attacker_side'] == side].copy()
if not tmp.empty:
tmp = tmp.rename(columns={
'early': f'rd_phase_kill_early_share{suffix}',
'mid': f'rd_phase_kill_mid_share{suffix}',
'late': f'rd_phase_kill_late_share{suffix}',
})
df = df.merge(
tmp[['steam_id_64', f'rd_phase_kill_early_share{suffix}', f'rd_phase_kill_mid_share{suffix}', f'rd_phase_kill_late_share{suffix}']],
on='steam_id_64',
how='left',
suffixes=('', '_calc')
)
for c in [f'rd_phase_kill_early_share{suffix}', f'rd_phase_kill_mid_share{suffix}', f'rd_phase_kill_late_share{suffix}']:
if f'{c}_calc' in df.columns:
df[c] = df[f'{c}_calc'].fillna(df[c])
df.drop(columns=[f'{c}_calc'], inplace=True)
if 'victim_side' in df_events.columns:
d_side = df_events[df_events['victim_side'].isin(['CT', 'T'])].copy()
if not d_side.empty:
d_cnt_side = d_side.groupby(['victim_steam_id', 'victim_side', 'phase_bucket']).size().reset_index(name='cnt')
d_piv = d_cnt_side.pivot_table(index=['victim_steam_id', 'victim_side'], columns='phase_bucket', values='cnt', fill_value=0)
d_piv['tot'] = d_piv.sum(axis=1).replace(0, 1)
d_piv = d_piv.div(d_piv['tot'], axis=0).drop(columns=['tot'])
d_piv = d_piv.reset_index().rename(columns={'victim_steam_id': 'steam_id_64'})
for side, suffix in [('T', '_t'), ('CT', '_ct')]:
tmp = d_piv[d_piv['victim_side'] == side].copy()
if not tmp.empty:
tmp = tmp.rename(columns={
'early': f'rd_phase_death_early_share{suffix}',
'mid': f'rd_phase_death_mid_share{suffix}',
'late': f'rd_phase_death_late_share{suffix}',
})
df = df.merge(
tmp[['steam_id_64', f'rd_phase_death_early_share{suffix}', f'rd_phase_death_mid_share{suffix}', f'rd_phase_death_late_share{suffix}']],
on='steam_id_64',
how='left',
suffixes=('', '_calc')
)
for c in [f'rd_phase_death_early_share{suffix}', f'rd_phase_death_mid_share{suffix}', f'rd_phase_death_late_share{suffix}']:
if f'{c}_calc' in df.columns:
df[c] = df[f'{c}_calc'].fillna(df[c])
df.drop(columns=[f'{c}_calc'], inplace=True)
if 'victim_side' in df_events.columns and 'winner_side' in df_events.columns:
death_rows = df_events[['match_id', 'round_num', 'event_time', 'victim_steam_id', 'victim_side', 'winner_side']].copy()
death_rows = death_rows[death_rows['victim_side'].isin(['CT', 'T']) & death_rows['winner_side'].isin(['CT', 'T'])]