Initial snapshot before transformerlab recovery

2026-03-31 13:25:25 -06:00
commit d860318d43
49 changed files with 3864 additions and 0 deletions
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+- name: Install Debian/Ubuntu prerequisites
+  become: true
+  apt:
+    name:
+      - build-essential
+      - ca-certificates
+      - cmake
+      - curl
+      - git
+      - git-lfs
+      - libcap2-bin
+      - libcurl4-openssl-dev
+      - nodejs
+      - npm
+      - pkg-config
+      - python3
+      - python3-pip
+      - python3-venv
+      - unzip
+      - zstd
+    state: present
+    update_cache: true
+
+- name: Query CUDA toolkit apt candidate
+  command: apt-cache policy nvidia-cuda-toolkit
+  register: courseware_cuda_toolkit_policy
+  changed_when: false
+  failed_when: false
+
+- name: Check for nvcc
+  command: which nvcc
+  register: courseware_nvcc_check
+  changed_when: false
+  failed_when: false
+
+- name: Set CUDA toolkit package availability
+  set_fact:
+    courseware_cuda_toolkit_package_available: >-
+      {{
+        courseware_cuda_toolkit_policy.rc == 0
+        and 'Candidate: (none)' not in courseware_cuda_toolkit_policy.stdout
+      }}
+
+- name: Install distro CUDA toolkit when available
+  block:
+    - name: Install nvidia-cuda-toolkit
+      become: true
+      apt:
+        name: nvidia-cuda-toolkit
+        state: present
+  rescue:
+    - name: Fail with CUDA toolkit guidance after apt install error
+      fail:
+        msg: |
+          CUDA Toolkit could not be installed from the distro package manager.
+
+          This installer needs the Linux-side CUDA toolkit for llama.cpp, not just a working `nvidia-smi`.
+
+          Try this first:
+            sudo apt update
+            sudo apt install -y nvidia-cuda-toolkit
+
+          If that still fails, add NVIDIA's CUDA repository for your Debian/Ubuntu release and install the toolkit from there.
+
+          Verify with:
+            nvcc --version
+            ls /usr/local/cuda/include/cuda_runtime.h
+  when:
+    - not courseware_is_wsl
+    - courseware_cuda_toolkit_package_available
+    - courseware_nvcc_check.rc != 0
+
+- name: Fail with CUDA toolkit guidance when no apt candidate exists
+  fail:
+    msg: |
+      CUDA Toolkit is not available from this distro's current apt sources.
+
+      This installer needs the Linux-side CUDA toolkit for llama.cpp, not just a working `nvidia-smi`.
+
+      On WSL this usually means:
+      - Windows side: the NVIDIA driver is installed correctly
+      - Linux side: the CUDA toolkit repository is still missing
+
+      Add NVIDIA's CUDA repository for your Debian/Ubuntu release, install the toolkit, then rerun:
+        bash deploy-courseware.sh
+
+      Verify with:
+        nvcc --version
+        ls /usr/local/cuda/include/cuda_runtime.h
+  when:
+    - not courseware_is_wsl
+    - not courseware_cuda_toolkit_package_available
+    - courseware_nvcc_check.rc != 0
+
+- name: Check for Ollama binary
+  command: which ollama
+  register: courseware_ollama_check
+  changed_when: false
+  failed_when: false
+
+- name: Install Ollama
+  become: true
+  shell: curl -fsSL https://ollama.com/install.sh | sh
+  args:
+    creates: /usr/local/bin/ollama
+  when: courseware_ollama_check.rc != 0
+
+- name: Mark Ollama as installed by courseware
+  file:
+    path: "{{ courseware_ollama_install_marker }}"
+    state: touch
+    mode: "0644"
+  when: courseware_ollama_check.rc != 0
+
+- name: Check for courseware-managed Ollama install marker
+  stat:
+    path: "{{ courseware_ollama_install_marker }}"
+  register: courseware_ollama_install_marker_before
+
+- name: Adopt existing local Ollama install into courseware management
+  file:
+    path: "{{ courseware_ollama_install_marker }}"
+    state: touch
+    mode: "0644"
+  when:
+    - not courseware_ollama_install_marker_before.stat.exists
+    - courseware_ollama_check.rc == 0
+    - ansible_system == "Linux"
+    - ansible_service_mgr == "systemd"
+    - courseware_is_wsl | bool
+    - ansible_user_id != "ollama"
+    - ansible_env.HOME is search('/home/')
+    - ansible_env.HOME != '/usr/share/ollama'
+    - ansible_env.HOME != '/var/lib/ollama'
+
+- name: Refresh courseware-managed Ollama install marker
+  stat:
+    path: "{{ courseware_ollama_install_marker }}"
+  register: courseware_ollama_install_marker_stat
+
+- name: Check for Ollama systemd unit
+  stat:
+    path: /etc/systemd/system/ollama.service
+  register: courseware_ollama_systemd_unit
+
+- name: Stop and disable courseware-managed Ollama systemd service
+  become: true
+  systemd:
+    name: ollama
+    state: stopped
+    enabled: false
+  when:
+    - ansible_service_mgr == "systemd"
+    - courseware_ollama_install_marker_stat.stat.exists
+    - courseware_ollama_systemd_unit.stat.exists