rollback test

Author: ahosler

tests/operators/anomaly/test_anomaly_simple.py

@@ -91,14 +91,14 @@ def test_artificial_big(model):
         yaml_i["spec"]["target_category_columns"] = [TARGET_CATEGORY_COLUMN]
         yaml_i["spec"]["datetime_column"]["name"] = DATETIME_COLUMN
 
-        run(yaml_i, backend="operator.local", debug=False)
-
-        # with open(anomaly_yaml_filename, "w") as f:
-        #     f.write(yaml.dump(yaml_i))
-        # sleep(0.1)
-        # subprocess.run(
-        #     f"ads operator run -f {anomaly_yaml_filename} --debug", shell=True
-        # )
+        # run(yaml_i, backend="operator.local", debug=False)
+
+        with open(anomaly_yaml_filename, "w") as f:
+            f.write(yaml.dump(yaml_i))
+        sleep(0.1)
+        subprocess.run(
+            f"ads operator run -f {anomaly_yaml_filename} --debug", shell=True
+        )
         sleep(0.1)
         subprocess.run(f"ls -a {output_dirname}/", shell=True)
         assert os.path.exists(f"{output_dirname}/report.html"), "Report not generated."
@@ -131,15 +131,15 @@ def test_artificial_small(model):
         yaml_i["spec"]["output_directory"]["url"] = output_dirname
         yaml_i["spec"]["contamination"] = 0.3
 
-        run(yaml_i, backend="operator.local", debug=False)
+        # run(yaml_i, backend="operator.local", debug=False)
 
-        # with open(anomaly_yaml_filename, "w") as f:
-        #     f.write(yaml.dump(yaml_i))
-        # sleep(0.1)
-        # subprocess.run(
-        #     f"ads operator run -f {anomaly_yaml_filename} --debug", shell=True
-        # )
-        # sleep(0.1)
+        with open(anomaly_yaml_filename, "w") as f:
+            f.write(yaml.dump(yaml_i))
+        sleep(0.1)
+        subprocess.run(
+            f"ads operator run -f {anomaly_yaml_filename} --debug", shell=True
+        )
+        sleep(0.1)
         subprocess.run(f"ls -a {output_dirname}/", shell=True)
         assert os.path.exists(f"{output_dirname}/report.html"), "Report not generated."
 
@@ -185,14 +185,14 @@ def test_validation(model):
         yaml_i["spec"]["output_directory"]["url"] = output_dirname
         yaml_i["spec"]["contamination"] = 0.05
 
-        run(yaml_i, backend="operator.local", debug=False)
-        # with open(anomaly_yaml_filename, "w") as f:
-        #     f.write(yaml.dump(yaml_i))
-        # sleep(0.1)
-        # subprocess.run(
-        #     f"ads operator run -f {anomaly_yaml_filename} --debug", shell=True
-        # )
-        # sleep(0.1)
+        # run(yaml_i, backend="operator.local", debug=False)
+        with open(anomaly_yaml_filename, "w") as f:
+            f.write(yaml.dump(yaml_i))
+        sleep(0.1)
+        subprocess.run(
+            f"ads operator run -f {anomaly_yaml_filename} --debug", shell=True
+        )
+        sleep(0.1)
         subprocess.run(f"ls -a {output_dirname}/", shell=True)
         assert os.path.exists(f"{output_dirname}/report.html"), "Report not generated."
 
@@ -209,15 +209,15 @@ def test_load_datasets(model, data_dict):
         yaml_i["spec"]["datetime_column"]["name"] = data_dict["dt_col"]
         yaml_i["spec"]["output_directory"]["url"] = output_dirname
 
-        run(yaml_i, backend="operator.local", debug=False)
+        # run(yaml_i, backend="operator.local", debug=False)
 
-        # with open(f"{tmpdirname}/anomaly.yaml", "w") as f:
-        #     f.write(yaml.dump(yaml_i))
-        # sleep(0.5)
-        # subprocess.run(
-        #     f"ads operator run -f {anomaly_yaml_filename} --debug", shell=True
-        # )
-        # sleep(0.1)
+        with open(f"{tmpdirname}/anomaly.yaml", "w") as f:
+            f.write(yaml.dump(yaml_i))
+        sleep(0.5)
+        subprocess.run(
+            f"ads operator run -f {anomaly_yaml_filename} --debug", shell=True
+        )
+        sleep(0.1)
         subprocess.run(f"ls -a {output_dirname}/", shell=True)
 
         # train_metrics = pd.read_csv(f"{output_dirname}/metrics.csv")