I'm developing a Flask backend running inside a Docker container. My backend needs to process medical DICOM files located on the host machine in a folder like /host/path/runs/container_1/input. I mounted the volume on docker via docker-compose.yml. I work with medical AI-Container which is pure input-output based CLI Container which operates in . It works prefectly when i use docker bash commands to make it do what it is supposed to but when i test the same function via API it doesnt find any Files in input folder. The API code i attached works but is very very hardcoded and i need to make it universal for different devices and different OS like Linux and Windows. Thanks ! @api_blueprint.route("/analyze_dicom/<int:container_id>", methods=["POST"]) def analyze_dicom(container_id): container = Container.query.get(container_id) if not container: return jsonify({"error": "Container not found"}), 404 #Hardcoded host path (real Windows path) base_host_path = PureWindowsPath(f"C:/mraay/mRayAIR_MEP_2025/container_manager/app/runs") input_dir = base_host_path / f"container_{container_id}" / "input" output_dir = base_host_path / f"container_{container_id}" / "output" try: result = run([ "docker", "run", "--rm", "--ipc=host", "--ulimit", "memlock=-1", "--ulimit", "stack=67108864", "-v", f"{input_dir}:/data:ro", "-v", f"{output_dir}:/output", container.image, "bash", "-c", "echo 'Inside container: /data'; ls -l /data; echo '---'; TotalSegmentator -i /data -o /output --fast --verbose" ], check=True, capture_output=True, text=True) return jsonify({ "message": f"Analysis successful for container {container_id}", "input_used": str(input_dir), "output_created": str(output_dir), "returncode": result.returncode, "stdout": result.stdout, "stderr": result.stderr }), 200 except CalledProcessError as e: return jsonify({ "error": "Container execution failed", "details": str(e), "stdout": e.stdout, "stderr": e.stderr }), 500** Continue reading...