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