Первый запуск

Tester/PerformenceTest.py

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+import difflib
+import os
+import re
+import numpy as np
+
+from Generator.LogGenerator import LogGenerator
+from Processor.StreamingLogCluster import StreamingLogCluster
+from Tester.RegressionMetricsCalculator import RegressionMetricsCalculator
+
+if __name__ == '__main__':
+    gen = LogGenerator()
+
+    MODEL_PATH = '../Resources/model'
+    DB_FILE = "../Resources/logs.db"
+
+    if os.path.exists(DB_FILE):
+        os.remove(DB_FILE)
+
+    print("--- ЗАПУСК: Delta Mode ---")
+    clusterer = StreamingLogCluster(MODEL_PATH, db_path=DB_FILE)
+
+    sm = 0
+
+    for j in range(1000):
+
+        data = []
+
+        count = 500
+
+        sm += count
+
+        # Генерируем 10 примеров
+        for i in range(count):
+            # 1. Получаем объект Term
+            term = gen.generate()
+
+            # 3. Используем данные (например, сохраняем в JSON для обучения)
+            template = term.structure().text
+            log = term.render(0.5)
+
+            measure = clusterer.process_time_measure(log.text)
+
+            data.append(measure)
+
+        arr = np.array(data)
+        means = arr.mean(axis=0) * 1000
+
+        print(f"{sm}|{"|".join(map(str,means))}")