feat(domination): complete match + career DomObj pipeline, fix rankings, fix DB keys, improve UI layout
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077d7a7783
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3 changed files with 88 additions and 52 deletions
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@ -168,11 +168,11 @@ class DashLeagueGUI:
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top_frame = ttk.Frame(main_frame)
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top_frame.grid(row=0, column=0, columnspan=2, sticky="ew", pady=(0, 10))
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self.sync_button = ttk.Button(top_frame, text="Sync Stats", command=self.on_sync_stats)
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self.sync_button.grid(row=0, column=0, padx=(0, 10))
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self.build_db_button = ttk.Button(top_frame, text="Build Career Database", command=self.on_build_career_db)
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self.build_db_button.grid(row=0, column=1, padx=(0, 10))
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self.build_db_button.grid(row=0, column=0, padx=(0, 10))
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self.sync_button = ttk.Button(top_frame, text="Sync Stats", command=self.on_sync_stats)
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self.sync_button.grid(row=0, column=1, padx=(0, 10))
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self.spotlight_button = ttk.Button(top_frame, text="Player Spotlight", command=self.on_player_spotlight)
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self.spotlight_button.grid(row=0, column=2, padx=(0, 10))
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@ -374,11 +374,36 @@ class DashLeagueGUI:
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p["slayer"] = pdata.get("slayer", {})
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p["sharpshooter"] = pdata.get("sharpshooter", {})
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p["objective_payload"] = pdata.get("objective_payload", {})
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p["objective_domination"] = pdata.get("objective_domination", {})
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# DO NOT overwrite match-based DomObj
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if "objective_domination_components" not in p:
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p["objective_domination_components"] = pdata.get(
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"objective_domination_components",
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{}
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)
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p["consistency"] = pdata.get("consistency", {})
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p["clutch"] = pdata.get("clutch", {})
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# -----------------------------
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# 4.5 Always attach match-based Domination Objective
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# -----------------------------
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for p in all_players:
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dom = compute_dom_objective_for_match_player(p)
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caps = dom.get("captures", 0)
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counters = dom.get("counters", 0)
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# Simple scoring model
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dom_score = caps * 0.4 + counters * 0.6
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p["objective_domination_components"] = {
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"raw": dom_score,
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"captures": caps,
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"counters": counters,
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}
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# -----------------------------
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# 5. Write OBS slot files
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# -----------------------------
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@ -398,11 +423,6 @@ class DashLeagueGUI:
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write_text(os.path.join(slot_dir, "Captures.txt"), p.get("DOM_Captures", ""))
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write_text(os.path.join(slot_dir, "Counters.txt"), p.get("DOM_Counters", ""))
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# Tag exports (use enriched match player dict)
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map_type = self.map_var.get()
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tags_text = self.generate_player_tags(p, map_type)
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write_text(os.path.join(slot_dir, "Tags.txt"), tags_text)
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self.set_status("Player slots generated.")
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messagebox.showinfo("Success", "Player slots generated into p0–p9.")
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@ -416,8 +436,8 @@ class DashLeagueGUI:
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try:
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self.set_status("Building career database...")
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# Modernized output path
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output_path = os.path.join(BASE_DIR, "final_db.json")
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# Use the same file the rest of the tool reads
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output_path = os.path.join(BASE_DIR, "career_stats.json")
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build_career_database(output_path)
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@ -540,9 +560,10 @@ PushTime/Season: {derived.get('push_time_per_season', 0):.2f}
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def generate_player_tags(self, player_entry, map_type):
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tags_out = []
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# Slayer
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slayer_strength = player_entry.get("slayer_strength")
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if slayer_strength:
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# Slayer (career)
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slayer = player_entry.get("slayer", {})
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slayer_strength = slayer.get("strength") or player_entry.get("slayer_strength")
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if isinstance(slayer_strength, str):
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tags_out.append(slayer_strength)
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# Payload Objective Specialist (match-based)
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@ -554,14 +575,16 @@ PushTime/Season: {derived.get('push_time_per_season', 0):.2f}
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# Domination Objective Specialist (match-based)
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if map_type == "Domination":
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dom_info = player_entry.get("objective_domination_components", {})
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dom_score = dom_info.get("dom_score_raw", 0.0)
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dom_score = dom_info.get("raw", 0.0)
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tags_out.append(f"ObjDOM {dom_score:.2f}")
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# Sharpshooter
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sharp = player_entry.get("sharpshooter_score")
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if sharp is not None:
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# Sharpshooter (career)
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sharp = player_entry.get("sharpshooter", {}).get("score") or player_entry.get("sharpshooter_score")
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if isinstance(sharp, (int, float)):
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tags_out.append(f"Sharp {sharp:.2f}")
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print("DEBUG DOM:", player_entry.get("objective_domination_components"))
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return ", ".join(tags_out)
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@ -648,7 +671,7 @@ PushTime/Season: {derived.get('push_time_per_season', 0):.2f}
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win = tk.Toplevel(self.root)
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win.title("Rankings")
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win.geometry("500x600")
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win.geometry("800x600")
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tags = [
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"Slayer",
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@ -908,16 +931,9 @@ PushTime/Season: {derived.get('push_time_per_season', 0):.2f}
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# --- PLAYER TAG EXPORTS ---
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try:
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career_path = os.path.join(BASE_DIR, "career_stats.json")
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if os.path.exists(career_path):
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with open(career_path, "r", encoding="utf-8") as f:
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career_db = json.load(f)
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for idx, p in enumerate(self.current_match_players):
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pid = p.get("id")
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if pid and pid in career_db["players"]:
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player_entry = career_db["players"][pid]
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tags_text = self.generate_player_tags(player_entry, map_type)
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# p IS the enriched match player object
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tags_text = self.generate_player_tags(p, map_type)
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slot_path = os.path.join(PLAYERS_DIR, f"p{idx}", "Tags.txt")
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write_text(slot_path, tags_text)
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@ -80,14 +80,16 @@ def build_career_database(output_path):
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"KD": KD,
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"accuracy": accuracy,
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"push_time": career_raw["PAY_PushTime"],
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"captures": career_raw["DOM_captures"],
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"counters": career_raw["DOM_counters"],
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"DOM_Captures": int(career_raw["DOM_captures"]),
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"DOM_Counters": int(career_raw["DOM_counters"]),
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"maps": career_raw["maps"],
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"damage": career_raw["damage"],
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"shots": career_raw["shots"],
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"shots_hit": career_raw["shots_hit"],
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"headshots": career_raw["headshots"],
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},
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"DOM_Captures": int(career_raw["DOM_captures"]), # 👈 add this
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"DOM_Counters": int(career_raw["DOM_counters"]), # 👈 and this
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"derived": derived,
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"matches": matches,
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}
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@ -138,7 +140,7 @@ def build_career_database(output_path):
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)
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# Domination Objective Specialist
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pdata["objective_domination"] = compute_dom_objective_for_career_player(
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pdata["objective_domination_components"] = compute_dom_objective_for_career_player(
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pdata,
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league_averages,
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distributions["domination"]
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@ -162,8 +162,26 @@ def rank_match_players_objpl(match_players):
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def rank_match_players_objdom(match_players):
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return _add_score_fields(rank_match_players_by_tag(match_players, "objective_domination"))
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ranked = []
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for p in match_players:
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comp = p.get("objective_domination_components", {})
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raw = comp.get("raw", 0.0)
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ranked.append({
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"id": p.get("id"),
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"name": p.get("name"),
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"team": p.get("team"),
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"score_raw": raw,
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"score_display": f"{raw:.2f}",
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})
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ranked.sort(key=lambda x: x["score_raw"], reverse=True)
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for i, r in enumerate(ranked, 1):
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r["rank"] = i
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return ranked
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# ---------------------------------------------------------
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# Legacy Slayer Prediction Wrapper
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