Remove obsolete analysis folder and legacy module duplicates
This commit is contained in:
FireHorse
parent
b69e4b4d47
commit
4261a4b2f9
6 changed files with 0 additions and 326 deletions
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import json
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import os
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from typing import List, Dict, Any
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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CAREER_DB_PATH = os.path.join(BASE_DIR, "career_stats.json")
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def load_career_db() -> Dict:
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"""Load career database with proper error handling."""
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if not os.path.exists(CAREER_DB_PATH):
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raise FileNotFoundError(f"Career database not found at: {CAREER_DB_PATH}\nPlease build it first from the GUI.")
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try:
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with open(CAREER_DB_PATH, "r", encoding="utf-8") as f:
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return json.load(f)
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except json.JSONDecodeError:
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raise ValueError("Career database is corrupted. Please rebuild it.")
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except Exception as e:
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raise RuntimeError(f"Failed to load career database: {e}")
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def top_players_by_tag(
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tag: str,
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players_only: List[Dict] = None,
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career_db: Dict = None,
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limit: int = 10
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) -> List[Dict]:
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"""
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Return top players for a given identity tag.
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If players_only is provided → only rank within current match lineup (recommended for GUI).
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Otherwise → rank across entire career database.
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"""
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if players_only is not None:
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# Use only the current match players (live stats)
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players = players_only[:]
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else:
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# Full career database
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db = career_db or load_career_db()
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players = list(db["players"].values())
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if not players:
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return []
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# Filter players who have this tag
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tagged_players = [
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p for p in players
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if tag in p.get("identity_tags", [])
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]
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if not tagged_players:
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return []
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# Define scoring function based on tag
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def get_score(p: Dict) -> float:
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norm = p.get("normalized", {})
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career = p.get("career", {})
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if tag == "Slayer":
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return norm.get("slayer_index", 0)
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elif tag == "Objective Specialist":
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return norm.get("objective_index", 0)
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elif tag == "Sharpshooter":
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return career.get("accuracy", 0)
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elif tag == "Anchor":
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return norm.get("survivability_index", 0)
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elif tag == "Aggressor":
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return norm.get("kills_per_map", 0)
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elif tag == "Clutch":
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return norm.get("win_rate", 0)
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elif tag == "Consistent":
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# Could add variance logic if stored
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return norm.get("kills_per_map", 0)
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else:
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# Default fallback
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return career.get("KD", 0)
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# Sort by score descending
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tagged_players.sort(key=get_score, reverse=True)
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return tagged_players[:limit]
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import json
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import os
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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CAREER_DB = os.path.join(BASE_DIR, "career_stats.json")
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def load_db():
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with open(CAREER_DB, "r", encoding="utf-8") as f:
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return json.load(f)
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def top_players_by_tag(tag, limit=10):
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db = load_db()
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players = db["players"]
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ranked = [
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p for p in players.values()
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if tag in p.get("identity_tags", [])
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]
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# Sort by slayer_index for Slayers, objective_index for Objective Specialists, etc.
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def score(p):
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norm = p["normalized"]
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if tag == "Slayer":
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return norm["slayer_index"]
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if tag == "Objective Specialist":
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return norm["objective_index"]
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if tag == "Sharpshooter":
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return p["career"]["accuracy"]
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if tag == "Anchor":
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return norm["survivability_index"]
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if tag == "Aggressor":
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return norm["kills_per_map"]
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if tag == "Clutch":
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return norm["win_rate"]
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return p["career"]["KD"]
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ranked.sort(key=score, reverse=True)
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return ranked[:limit]
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from team_identity import team_identity
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def matchup_storyline(team_a: str, team_b: str) -> str:
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"""Generate rich, caster-ready storyline with talking points and predictive flavor."""
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A = team_identity(team_a)
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B = team_identity(team_b)
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story = [f"🎙️ MATCH STORYLINE: {team_a} vs {team_b}\n"]
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# Slayer Power
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slayer_a = A["tag_counts"].get("Slayer", 0)
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slayer_b = B["tag_counts"].get("Slayer", 0)
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if slayer_a > slayer_b:
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story.append(f"• {team_a} brings **superior slayer firepower** ({slayer_a} tagged Slayers vs {slayer_b}).")
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elif slayer_b > slayer_a:
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story.append(f"• {team_b} brings **superior slayer firepower** ({slayer_b} tagged Slayers vs {slayer_a}).")
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else:
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story.append(f"• Both teams have equal slayer power — this could come down to execution.")
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# Objective Control
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obj_a = A["tag_counts"].get("Objective Specialist", 0)
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obj_b = B["tag_counts"].get("Objective Specialist", 0)
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if obj_a > obj_b:
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story.append(f"• {team_a} has **deeper objective presence** and map control potential.")
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elif obj_b > obj_a:
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story.append(f"• {team_b} has **deeper objective presence** and map control potential.")
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# Anchor / Stability
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if A["tag_counts"].get("Anchor", 0) >= 1 and B["tag_counts"].get("Anchor", 0) == 0:
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story.append(f"• {team_a} has a clear **anchor advantage** — expect a rock-solid backline.")
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elif B["tag_counts"].get("Anchor", 0) >= 1 and A["tag_counts"].get("Anchor", 0) == 0:
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story.append(f"• {team_b} has a clear **anchor advantage** — expect a rock-solid backline.")
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# Experience / Rookie Factor
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vet_a = A["tag_counts"].get("Veteran", 0)
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rook_a = A["tag_counts"].get("Rookie", 0)
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vet_b = B["tag_counts"].get("Veteran", 0)
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rook_b = B["tag_counts"].get("Rookie", 0)
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if rook_a >= 2 and vet_b >= 2:
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story.append(f"• {team_a} is young and hungry — {team_b} brings veteran experience. Classic youth vs experience matchup.")
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# Direct Exploit Lines
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if "Weak objective presence" in A["weaknesses"] and "Strong objective depth" in B["strengths"]:
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story.append(f"🔥 {team_b} is perfectly positioned to **exploit {team_a}'s weak objective play**.")
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if "Weak objective presence" in B["weaknesses"] and "Strong objective depth" in A["strengths"]:
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story.append(f"🔥 {team_a} is perfectly positioned to **exploit {team_b}'s weak objective play**.")
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# Final prediction flavor
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story.append("\n**Caster Talking Points Summary:**")
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story.append(f"• Watch for early slayer duels — the team that wins the Slayer battle usually controls the pace.")
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story.append(f"• Objective maps will heavily favor the side with more Objective Specialists.")
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story.append(f"• This matchup has high upset potential if the younger team executes cleanly.")
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return "\n".join(story)
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from team_identity import team_identity
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def matchup_storyline(team_a, team_b):
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A = team_identity(team_a)
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B = team_identity(team_b)
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story = []
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story.append(f"MATCH STORYLINE: {team_a} vs {team_b}\n")
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# Style comparison
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if A["tag_counts"].get("Slayer", 0) > B["tag_counts"].get("Slayer", 0):
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story.append(f"{team_a} brings stronger slayer power.")
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elif B["tag_counts"].get("Slayer", 0) > A["tag_counts"].get("Slayer", 0):
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story.append(f"{team_b} brings stronger slayer power.")
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if A["tag_counts"].get("Objective Specialist", 0) > B["tag_counts"].get("Objective Specialist", 0):
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story.append(f"{team_a} has deeper objective presence.")
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elif B["tag_counts"].get("Objective Specialist", 0) > A["tag_counts"].get("Objective Specialist", 0):
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story.append(f"{team_b} has deeper objective presence.")
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# Strength vs weakness
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if "Weak objective presence" in A["weaknesses"] and "Strong objective depth" in B["strengths"]:
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story.append(f"{team_b} may exploit {team_a}'s weak objective play.")
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if "Weak objective presence" in B["weaknesses"] and "Strong objective depth" in A["strengths"]:
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story.append(f"{team_a} may exploit {team_b}'s weak objective play.")
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return "\n".join(story)
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import json
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import os
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from collections import Counter
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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CAREER_DB_PATH = os.path.join(BASE_DIR, "career_stats.json")
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def load_career_db():
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"""Load career database with proper error handling."""
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if not os.path.exists(CAREER_DB_PATH):
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raise FileNotFoundError(f"Career database not found at: {CAREER_DB_PATH}\nPlease build it first.")
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try:
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with open(CAREER_DB_PATH, "r", encoding="utf-8") as f:
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return json.load(f)
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except json.JSONDecodeError:
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raise ValueError("Career database is corrupted. Please rebuild it.")
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except Exception as e:
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raise RuntimeError(f"Failed to load career database: {e}")
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def team_identity(team_name: str):
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"""Generate team identity summary based on career tags."""
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db = load_career_db()
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players = db.get("players", {})
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# Find all players who have ever played for this team
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team_players = [
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p for p in players.values()
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if team_name in p.get("team_history", [])
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]
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if not team_players:
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return {
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"team": team_name,
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"players": [],
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"tag_counts": {},
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"strengths": ["No players found with this team in history"],
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"weaknesses": []
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}
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# Count all identity tags across the team
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all_tags = [tag for p in team_players for tag in p.get("identity_tags", [])]
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tag_counts = Counter(all_tags)
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strengths = []
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weaknesses = []
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# --- Strengths ---
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if tag_counts.get("Slayer", 0) >= 2:
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strengths.append("High slayer firepower")
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if tag_counts.get("Objective Specialist", 0) >= 2:
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strengths.append("Strong objective control")
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if tag_counts.get("Anchor", 0) >= 1:
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strengths.append("Reliable anchor/backline")
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if tag_counts.get("Playmaker", 0) >= 1:
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strengths.append("Creative playmaking")
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if tag_counts.get("Consistent", 0) >= 2:
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strengths.append("Very consistent performers")
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# --- Weaknesses ---
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if tag_counts.get("Objective Specialist", 0) == 0:
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weaknesses.append("Lacking objective specialists")
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if tag_counts.get("Sharpshooter", 0) == 0:
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weaknesses.append("No dedicated sharpshooter")
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if tag_counts.get("Anchor", 0) == 0:
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weaknesses.append("Weak backline stability")
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if tag_counts.get("Veteran", 0) == 0 and tag_counts.get("Rookie", 0) >= 2:
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weaknesses.append("Very inexperienced roster")
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return {
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"team": team_name,
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"players": team_players, # kept for potential future use
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"tag_counts": dict(tag_counts),
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"strengths": strengths or ["Balanced roster — no dominant strength"],
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"weaknesses": weaknesses or ["No major weaknesses identified"]
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}
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import json
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import os
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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CAREER_DB = os.path.join(BASE_DIR, "career_stats.json")
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def load_db():
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with open(CAREER_DB, "r", encoding="utf-8") as f:
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return json.load(f)
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def team_identity(team_name):
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db = load_db()
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players = db["players"]
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team_players = [
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p for p in players.values()
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if team_name in p.get("team_history", [])
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]
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tag_counts = {}
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for p in team_players:
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for tag in p.get("identity_tags", []):
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tag_counts[tag] = tag_counts.get(tag, 0) + 1
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strengths = []
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weaknesses = []
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if tag_counts.get("Slayer", 0) >= 2:
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strengths.append("High slayer power")
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if tag_counts.get("Objective Specialist", 0) >= 2:
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strengths.append("Strong objective depth")
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if tag_counts.get("Anchor", 0) >= 1:
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strengths.append("Stable backline")
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if tag_counts.get("Objective Specialist", 0) == 0:
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weaknesses.append("Weak objective presence")
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if tag_counts.get("Sharpshooter", 0) == 0:
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weaknesses.append("No true sharpshooter")
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return {
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"team": team_name,
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"players": team_players,
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"tag_counts": tag_counts,
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"strengths": strengths,
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"weaknesses": weaknesses
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}
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