(step-detect) chore: add backward compatibility for manual input

Author: root-hbx

StarPerf.py

@@ -12,75 +12,75 @@ def main():
     print("Starting StarPerf...")
 
 
-    # print("Starting XML Constellations Testing...")
-    # # test the core module functionality of various XML constellations
-    # import samples.XML_constellation.XML_constellation_test_cases
-    # samples.XML_constellation.XML_constellation_test_cases.XML_constellation_test_cases()
-    # print("END.")
+    print("Starting XML Constellations Testing...")
+    # test the core module functionality of various XML constellations
+    import samples.XML_constellation.XML_constellation_test_cases
+    samples.XML_constellation.XML_constellation_test_cases.XML_constellation_test_cases()
+    print("END.")
 
     print("Starting TLE Constellations Testing")
     # test the core module functionality of various TLE constellations
     import samples.TLE_constellation.TLE_constellation_test_cases
     samples.TLE_constellation.TLE_constellation_test_cases.TLE_constellation_test_cases()
     print("END.")
 
-    # print("Starting Standalone Module Testing...")
-    # # test each standalone module under "src/standalone_module/" in starperf 2.0
-    # import samples.standalone_module.standalone_module_test_cases as standalone_module_test_cases
-    # standalone_module_test_cases.standalone_module_test_cases()
-    # print("END.")
+    print("Starting Standalone Module Testing...")
+    # test each standalone module under "src/standalone_module/" in starperf 2.0
+    import samples.standalone_module.standalone_module_test_cases as standalone_module_test_cases
+    standalone_module_test_cases.standalone_module_test_cases()
+    print("END.")
 
-    # print("Starting Tool Scripts Testing...")
-    # # test each tool script under "kits/" in starperf 2.0
-    # import samples.kits.kits_test_cases as KITS_TEST_CASES
-    # KITS_TEST_CASES.kits_test_cases()
-    # print("END.")
+    print("Starting Tool Scripts Testing...")
+    # test each tool script under "kits/" in starperf 2.0
+    import samples.kits.kits_test_cases as KITS_TEST_CASES
+    KITS_TEST_CASES.kits_test_cases()
+    print("END.")
 
-    # """
-    # The visualization results generated here will be located under 
-    # /StarPerf_Simulator/visualization/CesiumApp. Before you uncomment 
-    # this section and run the visualization, please make sure to set your 
-    # own Cesium Token by assigning it to the Cesium.Ion.defaultAccessToken 
-    # parameter in /StarPerf_Simulator/visualization/html_head_tail/head.html
+    """
+    The visualization results generated here will be located under 
+    /StarPerf_Simulator/visualization/CesiumApp. Before you uncomment 
+    this section and run the visualization, please make sure to set your 
+    own Cesium Token by assigning it to the Cesium.Ion.defaultAccessToken 
+    parameter in /StarPerf_Simulator/visualization/html_head_tail/head.html
     
-    # For the specific steps of rendering the resulting web page, please 
-    # refer to the Constellation Visualization Instructions in README.md.
-    # """
-    # # print("Starting constellation visualization...")
-    # # # test visualization part in "visualization/" in starperf 2.0
-    # # import visualization.constellation_visualization as CONS_VIS_TEST_CASES
-    # # CONS_VIS_TEST_CASES.visualization_example()
-    # # print("END.")
-
-    # """
-    # This will test the functionality of duration constellation. It is similar to the previously 
-    # implemented XML Constellation, but supports customizing the simulation time and simulation 
-    # sampling interval (XML Constellation currently only supports simulation of the entire orbital period)
-    # """
-    # print("Start simulation performance and indicators testing")
-    # import samples.duration_constellation.duration_constellation_cases
-    # samples.duration_constellation.duration_constellation_cases.constellation_performance()
+    For the specific steps of rendering the resulting web page, please 
+    refer to the Constellation Visualization Instructions in README.md.
+    """
+    # print("Starting constellation visualization...")
+    # # test visualization part in "visualization/" in starperf 2.0
+    # import visualization.constellation_visualization as CONS_VIS_TEST_CASES
+    # CONS_VIS_TEST_CASES.visualization_example()
     # print("END.")
 
-    # """
-    # This will take the longest time. On a 4-core Intel Xeon Processor (Icelake) processor, 
-    # 1 second of traffic will be generated every 15 seconds. Therefore, the traffic generation 
-    # here is set to 10 seconds, although I generated 1000 seconds of traffic in the experiment.
-    # """
-    # print("Start benign traffic generation")
-    # import samples.traffic.traffic_generation_cases
-    # samples.traffic.traffic_generation_cases.traffic_generation()
-    # print("END.")
+    """
+    This will test the functionality of duration constellation. It is similar to the previously 
+    implemented XML Constellation, but supports customizing the simulation time and simulation 
+    sampling interval (XML Constellation currently only supports simulation of the entire orbital period)
+    """
+    print("Start simulation performance and indicators testing")
+    import samples.duration_constellation.duration_constellation_cases
+    samples.duration_constellation.duration_constellation_cases.constellation_performance()
+    print("END.")
 
-    # """
-    # Energy consumption attacks require longer traffic generation time, because the implementation
-    # period of the attack is usually measured in months and years. In the example here, I only 
-    # implemented a simulation of dT=500 for one orbital period, which requires 11s of traffic generation.
-    # """
-    # print("Start LEO network security simulation")
-    # import samples.attack.attack_cases
-    # samples.attack.attack_cases.attack_cases()
-    # print("END.")
+    """
+    This will take the longest time. On a 4-core Intel Xeon Processor (Icelake) processor, 
+    1 second of traffic will be generated every 15 seconds. Therefore, the traffic generation 
+    here is set to 10 seconds, although I generated 1000 seconds of traffic in the experiment.
+    """
+    print("Start benign traffic generation")
+    import samples.traffic.traffic_generation_cases
+    samples.traffic.traffic_generation_cases.traffic_generation()
+    print("END.")
+
+    """
+    Energy consumption attacks require longer traffic generation time, because the implementation
+    period of the attack is usually measured in months and years. In the example here, I only 
+    implemented a simulation of dT=500 for one orbital period, which requires 11s of traffic generation.
+    """
+    print("Start LEO network security simulation")
+    import samples.attack.attack_cases
+    samples.attack.attack_cases.attack_cases()
+    print("END.")