refactor: web-ai V1 assets → signal_v1/ (graduation prep)

Atomic mv of root V1 assets (main_server.py + modules/ + data/ +
tests/ + entry scripts + docs + logs) into signal_v1/ subdirectory.
load_dotenv() updated to load web-ai/.env explicitly via Path.

Adds web-ai/CLAUDE.md (workspace guide) and web-ai/start.bat
(signal_v1 entry wrapper). Prepares for signal_v2/ Phase 2.

Tests: signal_v1/tests/unit baseline preserved (no regression).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

signal_v1/warmup_and_restart.py

@@ -0,0 +1,139 @@
+"""
+LSTM 사전학습 + 봇 자동 시작 통합 스크립트
+- 구 봇 종료 후 이 스크립트가 백그라운드로 실행됨
+- 12개 종목 LSTM 사전학습 → 완료 시 main_server.py 자동 시작
+"""
+import sys
+import os
+import time
+import subprocess
+import json
+
+# 프로젝트 루트를 path에 추가
+ROOT = os.path.dirname(os.path.abspath(__file__))
+sys.path.insert(0, ROOT)
+os.chdir(ROOT)
+
+LOG_FILE = os.path.join(ROOT, "warmup.log")
+
+def log(msg):
+    ts = time.strftime("%H:%M:%S")
+    line = f"[{ts}] {msg}"
+    print(line, flush=True)
+    with open(LOG_FILE, "a", encoding="utf-8") as f:
+        f.write(line + "\n")
+
+
+def run_warmup():
+    log("=" * 50)
+    log("LSTM 사전학습 시작 (Warmup)")
+    log("=" * 50)
+
+    try:
+        from modules.config import Config
+        from modules.services.kis import KISClient
+        from modules.analysis.deep_learning import PricePredictor
+        from modules.services.telegram import TelegramMessenger
+
+        messenger = TelegramMessenger()
+        messenger.send_message(
+            "🔄 <b>[Bot Restarting]</b>\n"
+            "LSTM 사전학습 중... 완료 후 자동 시작됩니다.\n"
+            f"대상: Watchlist 전체 종목"
+        )
+
+        kis = KISClient()
+        with open(Config.WATCHLIST_FILE, "r", encoding="utf-8") as f:
+            watchlist = json.load(f)
+
+        log(f"대상 종목: {len(watchlist)}개")
+
+        predictor = PricePredictor()
+        total = len(watchlist)
+        success = 0
+        failed = 0
+        total_time = 0.0
+
+        for i, (ticker, name) in enumerate(watchlist.items(), 1):
+            log(f"[{i}/{total}] {name} ({ticker}) 학습 중...")
+            try:
+                # 100일 데이터로 LSTM 학습 (기간별시세 API)
+                prices = kis.get_daily_price(ticker, count=100)
+                if not prices or len(prices) < 70:
+                    log(f"  ⚠️ 데이터 부족 ({len(prices) if prices else 0}개)")
+                    failed += 1
+                    continue
+
+                t0 = time.time()
+                result = predictor.train_and_predict(prices, ticker=ticker)
+                elapsed = time.time() - t0
+                total_time += elapsed
+
+                if result:
+                    log(f"  ✅ {result['epochs']}에포크 | loss={result['loss']:.6f} | "
+                        f"{result['change_rate']:+.2f}% | {elapsed:.1f}초")
+                    success += 1
+                else:
+                    log(f"  ⚠️ 결과 없음 ({elapsed:.1f}초)")
+                    failed += 1
+
+                # KIS API 과호출 방지
+                time.sleep(0.5)
+
+            except Exception as e:
+                log(f"  ❌ 오류: {e}")
+                failed += 1
+
+        log("=" * 50)
+        log(f"Warmup 완료: 성공 {success}개 / 실패 {failed}개 / 총 {total_time:.0f}초")
+        log("=" * 50)
+
+        messenger.send_message(
+            f"✅ <b>[Warmup 완료]</b>\n"
+            f"성공: {success}종목 / 실패: {failed}종목\n"
+            f"소요: {total_time/60:.1f}분\n"
+            f"→ 봇 시작 중..."
+        )
+        return True
+
+    except Exception as e:
+        log(f"❌ Warmup 실패: {e}")
+        import traceback
+        log(traceback.format_exc())
+        return False
+
+
+def start_bot():
+    log("봇 시작: main_server.py")
+    try:
+        # 새 콘솔 창에서 봇 실행 (Windows)
+        if sys.platform == "win32":
+            subprocess.Popen(
+                [sys.executable, "main_server.py"],
+                creationflags=subprocess.CREATE_NEW_CONSOLE,
+                cwd=ROOT
+            )
+        else:
+            subprocess.Popen(
+                [sys.executable, "main_server.py"],
+                cwd=ROOT
+            )
+        log("✅ 봇 프로세스 시작 완료")
+        return True
+    except Exception as e:
+        log(f"❌ 봇 시작 실패: {e}")
+        return False
+
+
+if __name__ == "__main__":
+    # warmup.log 초기화
+    with open(LOG_FILE, "w", encoding="utf-8") as f:
+        f.write(f"Warmup 시작: {time.strftime('%Y-%m-%d %H:%M:%S')}\n")
+
+    warmup_ok = run_warmup()
+
+    if warmup_ok:
+        time.sleep(2)
+        start_bot()
+    else:
+        log("⚠️ Warmup 실패. 봇을 수동으로 시작해주세요: python main_server.py")