Cleanup: remove tracked pycache files, update .gitignore, finalize refactor deletions

This commit is contained in:
FireHorse 2026-04-10 18:18:15 +10:00
parent 7e49a1b502
commit 077d7a7783
16 changed files with 6 additions and 261 deletions

7
.gitignore vendored
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@ -8,5 +8,10 @@ obs_exports/
# Python cache
__pycache__/
*.pyc
career_stats.json
final_db.json
data/*.db
*.db
*.db
career_stats.json
final_db.json

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@ -1,145 +0,0 @@
from rankings import load_career_db
from tags.objective_domination import (
compute_dom_objective_for_career_player,
compute_dom_objective_for_match_player,
compute_dom_objective_team_scores
)
def matchup_storyline(teamA_players, teamB_players):
"""
Composition-aware storyline generator.
Accepts two lists of player entries (5 per team).
"""
if not teamA_players or not teamB_players:
return "Not enough selected players to generate a storyline."
# --- Helper averages ---
def avg_slayer(players):
return sum(p.get("slayer_score_raw", 0.0) for p in players) / max(1, len(players))
def avg_obj_payload(players):
return sum(
p.get("objective_payload_components", {}).get("payload_score_raw", 0.0)
for p in players
) / max(1, len(players))
def avg_sharp(players):
return sum(
p.get("sharpshooter_components", {}).get("accuracy_norm", 0.0)
for p in players
) / max(1, len(players))
def avg_obj_dom(players):
return sum(
compute_dom_objective_for_career_player(
p.get("career_entry", {})
).get("dom_score_raw", 0.0)
for p in players
) / max(1, len(players))
def avg_consistency(players):
return sum(
p.get("consistency_components", {}).get("consistency_norm", 0.0)
for p in players
) / max(1, len(players))
def avg_clutch(players):
return sum(
p.get("clutch_components", {}).get("clutch_norm", 0.0)
for p in players
) / max(1, len(players))
# --- Compute team averages ---
a_slayer = avg_slayer(teamA_players)
b_slayer = avg_slayer(teamB_players)
a_obj = avg_obj_payload(teamA_players)
b_obj = avg_obj_payload(teamB_players)
a_sharp = avg_sharp(teamA_players)
b_sharp = avg_sharp(teamB_players)
a_dom = avg_obj_dom(teamA_players)
b_dom = avg_obj_dom(teamB_players)
a_consistency = avg_consistency(teamA_players)
b_consistency = avg_consistency(teamB_players)
a_clutch = avg_clutch(teamA_players)
b_clutch = avg_clutch(teamB_players)
# --- Team names ---
team_a = teamA_players[0].get("team", "Team A")
team_b = teamB_players[0].get("team", "Team B")
# --- Build storyline ---
lines = []
lines.append(f"MATCH STORYLINE — {team_a} vs {team_b}\n")
# Slayer storyline
if a_slayer > b_slayer:
lines.append(f"{team_a} bring stronger slaying on paper.")
elif b_slayer > a_slayer:
lines.append(f"{team_b} bring stronger slaying on paper.")
else:
lines.append("Slaying power looks evenly matched.")
# Payload storyline
if a_obj > b_obj:
lines.append(f"{team_a} have the edge in Payload objective presence.")
elif b_obj > a_obj:
lines.append(f"{team_b} have the edge in Payload objective presence.")
else:
lines.append("Payload objective presence looks evenly matched.")
# Domination storyline
if a_dom > b_dom:
lines.append(f"{team_a} show stronger Domination objective capability.")
elif b_dom > a_dom:
lines.append(f"{team_b} show stronger Domination objective capability.")
else:
lines.append("Domination objective capability looks evenly matched.")
# Consistency storyline
if a_consistency > b_consistency:
lines.append(f"{team_a} bring steadier map-to-map performance.")
elif b_consistency > a_consistency:
lines.append(f"{team_b} bring steadier map-to-map performance.")
else:
lines.append("Both teams show similar consistency across maps.")
# Clutch Storyline
if a_clutch > b_clutch:
lines.append(f"{team_a} show stronger clutch performance in high-pressure moments.")
elif b_clutch > a_clutch:
lines.append(f"{team_b} show stronger clutch performance in high-pressure moments.")
else:
lines.append("Both teams show similar clutch performance.")
# Sharpshooter storyline
sharp_delta = a_sharp - b_sharp
sharp_pct = sharp_delta * 100
if sharp_delta > 0.02:
lines.append(
f"{team_a} bring a Sharpshooter Advantage of {sharp_pct:.1f}%, "
f"landing more shots and converting more headshots than {team_b}."
)
elif sharp_delta < -0.02:
lines.append(
f"{team_b} hold a Sharpshooter Edge of {abs(sharp_pct):.1f}%, "
f"which could punish {team_a} in long‑range duels."
)
else:
lines.append(
"Both teams are evenly matched in Sharpshooting, so aim consistency "
"won’t be a deciding factor unless someone pops off."
)
return "\n".join(lines)

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@ -1,115 +0,0 @@
from rankings import load_career_db
from tags.objective_domination import (
compute_dom_objective_for_career_player,
compute_dom_objective_for_match_player,
compute_dom_objective_team_scores
)
def generate_team_identity(player_list):
"""
Returns a dictionary of team identity scores based on the average
identity-tag components of the SELECTED PLAYERS ONLY.
"""
if not player_list:
return None
# --- Helper functions for each identity tag ---
def avg_slayer(players):
return sum(p.get("slayer_score_raw", 0.0) for p in players) / max(1, len(players))
def avg_payload(players):
return sum(
p.get("objective_payload_components", {}).get("payload_score_raw", 0.0)
for p in players
) / max(1, len(players))
def avg_consistency(players):
return sum(
p.get("consistency_components", {}).get("consistency_norm", 0.0)
for p in players
) / max(1, len(players))
def avg_clutch(players):
return sum(
p.get("clutch_components", {}).get("clutch_norm", 0.0)
for p in players
) / max(1, len(players))
def avg_sharp(players):
return sum(
p.get("sharpshooter_components", {}).get("accuracy_norm", 0.0)
for p in players
) / max(1, len(players))
def avg_objdom(players):
return sum(
compute_dom_objective_for_career_player(
p.get("career_entry", {})
).get("dom_score_raw", 0.0)
for p in players
) / max(1, len(players))
# --- Compute identity scores ---
identity = {
"slayer_score": avg_slayer(player_list),
"payload_score": avg_payload(player_list),
"consistency_score": avg_consistency(player_list),
"clutch_score": avg_clutch(player_list),
"sharpshooter_score": avg_sharp(player_list),
"objdom_score": avg_objdom(player_list),
}
return identity
def compare_team_identity(teamA_players, teamB_players):
a = generate_team_identity(teamA_players)
b = generate_team_identity(teamB_players)
if a is None or b is None:
return "Not enough data to generate team identity comparison."
team_a_name = teamA_players[0].get("team", "Team A")
team_b_name = teamB_players[0].get("team", "Team B")
summary = []
# --- Slayer ---
if a["slayer_score"] > b["slayer_score"]:
summary.append(f"{team_a_name} lean slayer-heavy.")
elif b["slayer_score"] > a["slayer_score"]:
summary.append(f"{team_b_name} lean slayer-heavy.")
# --- Payload Objective ---
if a["payload_score"] > b["payload_score"]:
summary.append(f"{team_a_name} show stronger Payload objective focus.")
elif b["payload_score"] > a["payload_score"]:
summary.append(f"{team_b_name} show stronger Payload objective focus.")
# --- Domination Objective ---
if a["objdom_score"] > b["objdom_score"]:
summary.append(f"{team_a_name} show stronger Domination objective presence.")
elif b["objdom_score"] > a["objdom_score"]:
summary.append(f"{team_b_name} show stronger Domination objective presence.")
# --- Consistency ---
if a["consistency_score"] > b["consistency_score"]:
summary.append(f"{team_a_name} are the steadier team.")
elif b["consistency_score"] > a["consistency_score"]:
summary.append(f"{team_b_name} are the steadier team.")
# --- Clutch ---
if a["clutch_score"] > b["clutch_score"]:
summary.append(f"{team_a_name} excel in clutch situations.")
elif b["clutch_score"] > a["clutch_score"]:
summary.append(f"{team_b_name} excel in clutch situations.")
# --- Sharpshooter ---
if a["sharpshooter_score"] > b["sharpshooter_score"]:
summary.append(f"{team_a_name} bring stronger aim and headshot conversion.")
elif b["sharpshooter_score"] > a["sharpshooter_score"]:
summary.append(f"{team_b_name} bring stronger aim and headshot conversion.")
return " ".join(summary)