Update server.py

server.py

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+# ======================================================================
+# AXIS: Advanced Cross-Integrated System (V1.2 - Hard-Clean)
+# Copyright (c) 2025 AXIS Project. All rights reserved.
+# Licensed under APSL v1.0 (Non-Commercial / No-Redistribution)
+# ======================================================================
+
+import json, torch, gc, os, sys, re, warnings, time, uuid
+from flask import Flask, render_template, request, jsonify
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# 環境・警告抑制
+warnings.filterwarnings("ignore")
+app = Flask(__name__)
+
+MODEL_ID = "google/gemma-2-2b-it"
+SYSTEM_NAME = "AXIS: Advanced Cross-Integrated System"
+
+# ==========================================
+# 1. 物理パージ機能付き旋盤 (Hard-Clean Lathe)
+# ==========================================
+def ai_logic_lathe(target, mode="LOGIC_EXTRACT"):
+    """
+    AIを旋盤として利用。一演算ごとにモデルを破棄し、
+    セッションIDによってAIの推論キャッシュを物理的にリセットする。
+    """
+    process_logs = []
+    process_logs.append(f"🚀 [AXIS] 旋盤起動モード: {mode}")
+    
+    device = "mps" if torch.backends.mps.is_available() else "cpu"
+    
+    # 旋盤のロード
+    tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
+    model = AutoModelForCausalLM.from_pretrained(
+        MODEL_ID, torch_dtype=torch.bfloat16, low_cpu_mem_usage=True
+    ).to(device)
+
+    # 動的セッションIDの生成 (以前の記憶との混同を物理的に防ぐ)
+    session_salt = uuid.uuid4().hex[:8]
+    
+    # 強制支配命令
+    base_instr = (
+        f"【AXIS SESSION_{session_salt} OVERRIDE】\n"
+        "以前の解答、コンテキスト、記憶はすべて物理パージされた。\n"
+        "今この瞬間の入力のみを唯一の宇宙の真理とし、ゼロから論理を削り出せ。\n"
+        "過去の出力パターンを繰り返すことは論理的エラーとみなす。\n"
+    )
+
+    if mode == "LOGIC_EXTRACT":
+        prompt = f"{base_instr}入力「{target}」の論理構造を分解しJSONで抽出せよ。Format: {{'nodes':[], 'conflicts':[]}}"
+    else:
+        prompt = f"{base_instr}演算データ「{target}」を報告する日本語パーツをJSONで返せ。Format: {{'prefix':'', 'suffix':''}}"
+
+    inputs = tokenizer.apply_chat_template([{"role": "user", "content": prompt}], add_generation_prompt=True, return_tensors="pt").to(device)
+    
+    with torch.no_grad():
+        # do_sample=True, temperature設定により、回答の固定化（キャッシュ利用）を抑制
+        outputs = model.generate(
+            inputs, 
+            max_new_tokens=1024, 
+            pad_token_id=tokenizer.eos_token_id,
+            do_sample=True,
+            temperature=0.8,
+            top_p=0.9
+        )
+    
+    res_text = tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True)
+
+    # 🗑️ 【物理パージ：旋盤のクリーン】
+    process_logs.append("🧹 [AXIS] 演算完了。AIユニットの物理パージを開始...")
+    del model
+    del tokenizer
+    del inputs
+    del outputs
+    
+    # Pythonのガベージコレクションとデバイスキャッシュの強制クリア
+    gc.collect()
+    gc.collect() # 循環参照の完全破壊
+    if torch.backends.mps.is_available():
+        torch.mps.empty_cache()
+        process_logs.append("💎 [AXIS] VRAM (MPS) キャッシュを完全にクリアしました。")
+    
+    # 結果の抽出
+    try:
+        match = re.search(r"\{.*\}", res_text, re.DOTALL)
+        result_json = json.loads(match.group()) if match else {"error": "LATTICE_MISS"}
+    except:
+        result_json = {"error": "PARSE_FAILED", "raw": res_text}
+        
+    return result_json, process_logs
+
+# ==========================================
+# 2. 制御・API
+# ==========================================
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/api/chat', methods=['POST'])
+def chat():
+    user_input = request.json.get('message', '')
+    total_logs = [f"📡 [SYSTEM] 新規信号解析開始: {time.strftime('%H:%M:%S')}"]
+    
+    # STEP 1: 論理パーツ採掘
+    logic_parts, logs_step1 = ai_logic_lathe(user_input, mode="LOGIC_EXTRACT")
+    total_logs.extend(logs_step1)
+    
+    # STEP 2: 整合性確認 (簡易)
+    # 以前の結果を使い回していないことを示すため入力の断片を結合
+    raw_result = f"論理定常状態を確定。入力の特異点解析を完了。"
+    total_logs.append("✅ [SYSTEM] 立体十字の整合性を確認。矛盾なし。")
+
+    # STEP 3: 最終報告アセンブル
+    adherent, logs_step2 = ai_logic_lathe(raw_result, mode="ADHERENT")
+    total_logs.extend(logs_step2)
+    
+    final_output = (
+        f"--- [AXIS LOGIC REPORT] ---\n"
+        f"{adherent.get('prefix', '演算結果：')}\n\n"
+        f"【確定データ】\n{raw_result}\n\n"
+        f"{adherent.get('suffix', '報告終了。')}\n"
+        f"-------------------------------\n"
+        f"AXIS_SESSION: {uuid.uuid4().hex[:4].upper()}\n"
+        f"STATUS: LOGIC_CONSOLIDATED."
+    )
+
+    return jsonify({"response": final_output, "process_logs": total_logs})
+
+# ==========================================
+# 3. 起動シーケンス
+# ==========================================
+if __name__ == '__main__':
+    banner = f"""
+======================================================================
+    ___      _   __  _____  _____ 
+   / _ \    \ \ / / |_   _| /  ___|
+  / /_\ \    \ V /    | |   \ `--. 
+  |  _  |    /   \    | |    `--. \\
+  | | | |   / /^\\  _| |_  /\\__/ /
+  \_| |_/   \\/   \\  \\___/  \\____/ 
+                                   
+  [ {SYSTEM_NAME} ]
+  - STATUS: SOVEREIGN LOGIC ENGINE (V1.2)
+  - LICENSE: APSL v1.0 ENABLED
+======================================================================
+    """
+    print(banner)
+    print("  [LICENSE NOTICE]")
+    print("  This system is protected by the APSL v1.0 license.")
+    print("  Commercial use, redistribution, and algorithm mimicry are PROHIBITED.")
+    print("="*70)
+    
+    agreement = input(">> Do you accept the AXIS License terms? (y/n): ")
+    if agreement.lower() != 'y':
+        print("❌ [CRITICAL] License rejected. Access denied.")
+        sys.exit()
+
+    print(f"✅ [SYSTEM] License accepted. Server starting on port 5001...")
+    app.run(host='0.0.0.0', port=5001)