update CLI with loading animation, closes #13

cli.py

@@ -3,6 +3,8 @@ import dataclasses as dc
 import sys
 from typing import cast
 
+from dopt_basics import cli
+
 from dopt_sensor_anomalies import _interface
 
 
@@ -34,11 +36,18 @@ def main() -> int:
     )
     args = cast(CliArgs, parser.parse_args())
 
-    status = _interface.sensor_anomalies_detection(
-        args.img_path,
-        args.calib_value_x,
-        args.calib_value_y,
-    )
+    with cli.LoadingAnimation(
+        "Perform anomaly detection...",
+        "Pipeline ended successfully!",
+    ) as loader:
+        status = _interface.sensor_anomalies_detection(
+            args.img_path,
+            args.calib_value_x,
+            args.calib_value_y,
+        )
+        if status != 0:
+            loader.stop(interrupt=True)
+
     sys.exit(status)
 
 

cli_mocked.py

@@ -0,0 +1,58 @@
+import argparse
+import dataclasses as dc
+import sys
+from typing import cast
+from unittest.mock import patch
+
+from dopt_basics import cli
+
+from dopt_sensor_anomalies import _interface
+
+
+@dc.dataclass()
+class CliArgs:
+    img_path: str
+    calib_value_x: float
+    calib_value_y: float
+
+
+@patch("dopt_sensor_anomalies._find_paths.STOP_FOLDER_NAME", "src")
+@patch("dopt_sensor_anomalies._find_paths.MODEL_FOLDER_NAME", "tests/_models")
+def main() -> int:
+    parser = argparse.ArgumentParser(
+        description=("simple CLI tool to analyse single sensor images for anomalies")
+    )
+    parser.add_argument(
+        "img_path",
+        help="file path to the image which is to be analysed",
+        type=str,
+    )
+    parser.add_argument(
+        "calib_value_x",
+        help="calibration value in pixels per mcm for x axis, type: float",
+        type=float,
+    )
+    parser.add_argument(
+        "calib_value_y",
+        help="calibration value in pixels per mcm for y axis, type: float",
+        type=float,
+    )
+    args = cast(CliArgs, parser.parse_args())
+
+    with cli.LoadingAnimation(
+        "Perform anomaly detection...",
+        "Pipeline ended successfully!",
+    ) as loader:
+        status = _interface.sensor_anomalies_detection(
+            args.img_path,
+            args.calib_value_x,
+            args.calib_value_y,
+        )
+        if status != 0:
+            loader.stop(interrupt=True)
+
+    sys.exit(status)
+
+
+if __name__ == "__main__":
+    main()

src/dopt_sensor_anomalies/_interface.py

@@ -23,7 +23,7 @@ def _print_error_state(
         f"\nType: {state.ExceptionType.__name__}\nDescription: {state.description}\n"
         f"Message: {state.message}"
     )
-    print(msg, flush=True, file=out_stream)
+    print(f"\r{msg}", flush=True, file=out_stream)
 
 
 def sensor_anomalies_detection(