fix(dev): use shell for piped commands in Ansible

This fix ensures that we use the `shell` module instead of `command`
since `command` does not support pipes (`|`). This prevents errors
when checking for installed packages and configurations.

Author: rickstaa

scripts/README.md

@@ -19,7 +19,7 @@ This repository includes an [Ansible playbook](https://docs.ansible.com/ansible/
    - **Storage**: 100GB
 
    > [!TIP]
-   > You can use the `spinup_comfystream_tensordock.py --bare-vm` script to create a [compatible VM on TensorDock](https://marketplace.tensordock.com/deploy?gpu=geforcertx4090-pcie-24gb&gpuCount=1&ramAmount=16&vcpuCount=4&storage=100&os=Ubuntu-22.04-LTS).
+   > You can use the `spinup_comfystream_tensordock.py --bare-vm` script to create a [compatible VM on TensorDock](https://marketplace.tensordock.com/deploy?gpu=geforcertx4090-pcie-24gb&gpuCount=1&ramAmount=16&vcpuCount=4&storage=100&os=Ubuntu-22.04-LTS)
 
 2. **Open Required Ports**:  
    Ensure the following ports are open **inbound and outbound** on the VM's firewall/security group:
@@ -39,12 +39,15 @@ This repository includes an [Ansible playbook](https://docs.ansible.com/ansible/
     ansible-playbook -i ansible/inventory.yaml ansible/plays/setup_comfystream.yaml
     ```
 
+   > [!IMPORTANT]  
+   > When using a non-sudo user, add `--ask-become-pass` to provide the sudo password or use an Ansible vault for secure storage.
+
 6. **Access the Server**:  
    After successful execution, the access URLs for **ComfyStream** will be displayed.
 
 > [!IMPORTANT]
 > If you encounter a `toomanyrequests` error while pulling the Docker image, either wait a few minutes or provide your Docker credentials when running the playbook:  
-> 
+>
 > ```bash
 > ansible-playbook -i ansible/inventory.yaml ansible/plays/setup_comfystream.yaml -e "docker_hub_username=your_dockerhub_username docker_hub_password=your_dockerhub_pat"
 > ```

scripts/ansible/plays/setup_comfystream.yaml

@@ -142,12 +142,12 @@
       notify: restart caddy
     # Ensure NVIDIA Container Toolkit is installed and configured
     - name: Check if NVIDIA Container Toolkit is installed
-      command: dpkg -l | grep nvidia-container-toolkit
+      shell: dpkg -l | grep nvidia-container-toolkit
       register: nvidia_toolkit_installed
       ignore_errors: yes
       changed_when: false
     - name: Check if NVIDIA runtime is configured in Docker
-      command: docker info | grep -i nvidia
+      shell: docker info | grep -i nvidia
       register: nvidia_runtime_configured
       ignore_errors: yes
       changed_when: false