feat: 리눅스 환경 파일 동기화, Dockerfile 및 docker-compose 추가, 캐시 무시 설정

analyze_logs_pattern.py

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+import pymysql
+import re
+from collections import Counter
+
+def get_db_connection():
+    return pymysql.connect(
+        host='localhost',
+        user='root',
+        password='45278434',
+        database='pm_proto_test',
+        charset='utf8mb4',
+        cursorclass=pymysql.cursors.DictCursor
+    )
+
+def analyze_logs():
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("SELECT DISTINCT recent_log FROM projects_history WHERE recent_log IS NOT NULL AND recent_log != ''")
+            rows = cursor.fetchall()
+            
+            logs = [r['recent_log'] for r in rows]
+            
+            output = []
+            output.append("[Raw Log Samples]")
+            for log in logs[:20]:
+                output.append(f"- {log}")
+
+            patterns = []
+            for log in logs:
+                p = re.sub(r'\d{2,4}\.\d{2}\.\d{2}', '[DATE]', log)
+                p = re.sub(r'\d+', '[NUM]', p)
+                patterns.append(p)
+            
+            output.append("\n[Log Patterns Frequency]")
+            pattern_counts = Counter(patterns).most_common(20)
+            for p, count in pattern_counts:
+                output.append(f"({count}) {p}")
+
+            with open("log_analysis_result.txt", "w", encoding="utf-8") as f:
+                f.write("\n".join(output))
+            print("Analysis complete. Result saved to log_analysis_result.txt")
+
+    finally:
+        conn.close()
+
+if __name__ == "__main__":
+    analyze_logs()