name: QMB Training
on:
  push:
    branches: [ "main" ]
    paths:
      - ".riahub/workflows/train.yaml"
  pull_request:
    branches: [ "main" ]
    paths:
      - ".riahub/workflows/train.yaml"

permissions:
  contents: read
  actions: read

jobs:
  QMB-Training:
    runs-on: "whitehorse-p40-qmb"
    env:
      RIAHUB_BASE_URL: ${{ vars.RIAHUB_BASE_URL || secrets.RIAHUB_BASE_URL || '' }}
      QMB_OUTPUT_ROOT: "/opt/qmb/outputs"
      QMB_TASK_REPO_ROOT: "/opt/qmb/task_repos"
    steps:
      - name: Display basic runner info
        run: |
          echo "Runner OS: ${{ runner.os }}"
          echo "Runner Architecture: ${{ runner.arch }}"

      - name: Print CPU information
        run: |
          lscpu

      - name: Print GPU information
        run: |
          if command -v nvidia-smi &> /dev/null; then
            nvidia-smi
          else
            echo "No NVIDIA GPU available."
          fi


      - name: Checkout Training Dataset
        shell: bash
        timeout-minutes: 10
        env:
          RIAHUB_USER: ${{ secrets.QMBDEMO_USER }}
          RIAHUB_TOKEN: ${{ secrets.QMBDEMO_TOKEN }}
          GIT_TERMINAL_PROMPT: "0"
        run: |
          set -euo pipefail
          DEFAULT_BASE_URL='https://riahub.ai'
          BASE_URL_SOURCE=${RIAHUB_BASE_URL:-$DEFAULT_BASE_URL}
          BASE_URL_SOURCE="${BASE_URL_SOURCE%/}"

          build_base_candidates() {
            local raw="$1"
            if [[ "$raw" =~ ^https?:// ]]; then
              echo "$raw"
              if [[ "$raw" == http://* ]]; then
                echo "https://${raw#http://}"
              elif [[ "$raw" == https://* ]]; then
                echo "http://${raw#https://}"
              fi
              return
            fi
            echo "https://$raw"
            echo "http://$raw"
          }

          AUTH_HEADER=""
          if [[ -n "${RIAHUB_USER:-}" && -n "${RIAHUB_TOKEN:-}" ]]; then
            AUTH_HEADER=$(printf 'Authorization: basic %s' "$(printf '%s:%s' "$RIAHUB_USER" "$RIAHUB_TOKEN" | base64 | tr -d '\n')")
          fi
          git_auth() {
            if [[ -n "$AUTH_HEADER" ]]; then
              sudo env GIT_TERMINAL_PROMPT=0 git -c "http.extraheader=$AUTH_HEADER" "$@"
            else
              sudo env GIT_TERMINAL_PROMPT=0 git "$@"
            fi
          }
          REPO_PATH='/qoherent/icc-28.git'
          DEST_ROOT='/opt/qmb/riahub/dataset/qoherent/icc-28/main'
          sudo mkdir -p "$(dirname "$DEST_ROOT")"
          if ! command -v git-lfs >/dev/null 2>&1; then
            sudo apt-get update -y
            sudo apt-get install -y git-lfs
          fi
          mapfile -t BASE_CANDIDATES < <(build_base_candidates "$BASE_URL_SOURCE")
          MATERIALIZED=0
          for base in "${BASE_CANDIDATES[@]}"; do
            base="${base%/}"
            REPO_URL="${base}${REPO_PATH}"
            echo "Fetching dataset from $REPO_URL"
            sudo rm -rf "$DEST_ROOT"
            sudo mkdir -p "$DEST_ROOT"
            sudo git -C "$DEST_ROOT" init || continue
            sudo git -C "$DEST_ROOT" remote add origin "$REPO_URL" || continue
            sudo git -C "$DEST_ROOT" sparse-checkout init --no-cone || continue
            sudo git -C "$DEST_ROOT" sparse-checkout set --no-cone -- \
              'datasets/icc28-train_v1.0.0.h5' || continue
            if ! git_auth -C "$DEST_ROOT" fetch --depth=1 origin '1d9083f05d0538110f09e710865b078eba30964b'; then
              continue
            fi
            if ! sudo env GIT_TERMINAL_PROMPT=0 GIT_LFS_SKIP_SMUDGE=1 git -C "$DEST_ROOT" -c advice.detachedHead=false checkout FETCH_HEAD; then
              continue
            fi
            if ! git_auth -C "$DEST_ROOT" lfs fetch origin --include='datasets/icc28-train_v1.0.0.h5' --exclude=""; then
              echo "LFS fetch failed for candidate $base, trying next" >&2
              continue
            fi
            if ! sudo git -C "$DEST_ROOT" lfs checkout; then
              echo "LFS checkout failed for candidate $base, trying next" >&2
              continue
            fi
            POINTER_FOUND=0
            _LFS_REL_PATH='datasets/icc28-train_v1.0.0.h5'
            if [[ "$(sudo head -c 9 "$DEST_ROOT/$_LFS_REL_PATH" 2>/dev/null || true)" == "version h" ]]; then
              echo "LFS materialization left a pointer at $DEST_ROOT/$_LFS_REL_PATH for candidate $base, trying next" >&2
              POINTER_FOUND=1
            fi
            if [[ "$POINTER_FOUND" -ne 0 ]]; then
              continue
            fi
            MATERIALIZED=1
            break
          done
          if [[ "$MATERIALIZED" -ne 1 ]]; then
            echo "Failed to materialize dataset using base URL candidates derived from: $BASE_URL_SOURCE" >&2
            if [[ -z "$AUTH_HEADER" ]]; then
              echo "  (no credentials configured: set QMBDEMO_USER and QMBDEMO_TOKEN repo secrets for internal/private repos)" >&2
            fi
            exit 1
          fi

      - name: Checkout Validation Dataset
        shell: bash
        timeout-minutes: 10
        env:
          RIAHUB_USER: ${{ secrets.QMBDEMO_USER }}
          RIAHUB_TOKEN: ${{ secrets.QMBDEMO_TOKEN }}
          GIT_TERMINAL_PROMPT: "0"
        run: |
          set -euo pipefail
          DEFAULT_BASE_URL='https://riahub.ai'
          BASE_URL_SOURCE=${RIAHUB_BASE_URL:-$DEFAULT_BASE_URL}
          BASE_URL_SOURCE="${BASE_URL_SOURCE%/}"

          build_base_candidates() {
            local raw="$1"
            if [[ "$raw" =~ ^https?:// ]]; then
              echo "$raw"
              if [[ "$raw" == http://* ]]; then
                echo "https://${raw#http://}"
              elif [[ "$raw" == https://* ]]; then
                echo "http://${raw#https://}"
              fi
              return
            fi
            echo "https://$raw"
            echo "http://$raw"
          }

          AUTH_HEADER=""
          if [[ -n "${RIAHUB_USER:-}" && -n "${RIAHUB_TOKEN:-}" ]]; then
            AUTH_HEADER=$(printf 'Authorization: basic %s' "$(printf '%s:%s' "$RIAHUB_USER" "$RIAHUB_TOKEN" | base64 | tr -d '\n')")
          fi
          git_auth() {
            if [[ -n "$AUTH_HEADER" ]]; then
              sudo env GIT_TERMINAL_PROMPT=0 git -c "http.extraheader=$AUTH_HEADER" "$@"
            else
              sudo env GIT_TERMINAL_PROMPT=0 git "$@"
            fi
          }
          REPO_PATH='/qoherent/icc-28.git'
          DEST_ROOT='/opt/qmb/riahub/dataset/qoherent/icc-28/main'
          sudo mkdir -p "$(dirname "$DEST_ROOT")"
          if ! command -v git-lfs >/dev/null 2>&1; then
            sudo apt-get update -y
            sudo apt-get install -y git-lfs
          fi
          mapfile -t BASE_CANDIDATES < <(build_base_candidates "$BASE_URL_SOURCE")
          MATERIALIZED=0
          for base in "${BASE_CANDIDATES[@]}"; do
            base="${base%/}"
            REPO_URL="${base}${REPO_PATH}"
            echo "Fetching dataset from $REPO_URL"
            sudo rm -rf "$DEST_ROOT"
            sudo mkdir -p "$DEST_ROOT"
            sudo git -C "$DEST_ROOT" init || continue
            sudo git -C "$DEST_ROOT" remote add origin "$REPO_URL" || continue
            sudo git -C "$DEST_ROOT" sparse-checkout init --no-cone || continue
            sudo git -C "$DEST_ROOT" sparse-checkout set --no-cone -- \
              'datasets/icc28-test_v1.0.0.h5' || continue
            if ! git_auth -C "$DEST_ROOT" fetch --depth=1 origin 'b307499b8c7150e10537d8f2f17fe108f0bc73db'; then
              continue
            fi
            if ! sudo env GIT_TERMINAL_PROMPT=0 GIT_LFS_SKIP_SMUDGE=1 git -C "$DEST_ROOT" -c advice.detachedHead=false checkout FETCH_HEAD; then
              continue
            fi
            if ! git_auth -C "$DEST_ROOT" lfs fetch origin --include='datasets/icc28-test_v1.0.0.h5' --exclude=""; then
              echo "LFS fetch failed for candidate $base, trying next" >&2
              continue
            fi
            if ! sudo git -C "$DEST_ROOT" lfs checkout; then
              echo "LFS checkout failed for candidate $base, trying next" >&2
              continue
            fi
            POINTER_FOUND=0
            _LFS_REL_PATH='datasets/icc28-test_v1.0.0.h5'
            if [[ "$(sudo head -c 9 "$DEST_ROOT/$_LFS_REL_PATH" 2>/dev/null || true)" == "version h" ]]; then
              echo "LFS materialization left a pointer at $DEST_ROOT/$_LFS_REL_PATH for candidate $base, trying next" >&2
              POINTER_FOUND=1
            fi
            if [[ "$POINTER_FOUND" -ne 0 ]]; then
              continue
            fi
            MATERIALIZED=1
            break
          done
          if [[ "$MATERIALIZED" -ne 1 ]]; then
            echo "Failed to materialize dataset using base URL candidates derived from: $BASE_URL_SOURCE" >&2
            if [[ -z "$AUTH_HEADER" ]]; then
              echo "  (no credentials configured: set QMBDEMO_USER and QMBDEMO_TOKEN repo secrets for internal/private repos)" >&2
            fi
            exit 1
          fi

      - name: Checkout configs
        uses: actions/checkout@v5
        with:
          sparse-checkout: .riahub/train_configs

      - name: Copy configs into qmb folder
        run: |
          mkdir -p /opt/qmb/configs/
          sudo cp -r ${{ github.workspace }}/.riahub/train_configs/* /opt/qmb/configs/


      - name: List QMB project contents
        run: |
          ls -lha /opt/qmb
          ls -lh /opt/qmb/wheel

      - name: List Downloaded RIA Hub contents
        run: |
          ls -lh /opt/qmb/riahub || true
          ls -lh /opt/qmb/riahub/model || true
          ls -lh /opt/qmb/riahub/dataset || true

      - name: Setup Python
        uses: actions/setup-python@v6
        with:
          python-version: "3.13"

      - name: Install Python dependencies
        run: |
          set -euo pipefail
          uv pip install --system --index-url https://pypi.org/simple --upgrade /opt/qmb/wheel/*.whl
          TORCH_INDEX_URL="https://download.pytorch.org/whl/cpu"
          TORCH_REASON="no NVIDIA GPU detected"
          if command -v nvidia-smi &> /dev/null; then
            CAP_LINES="$(nvidia-smi --query-gpu=compute_cap --format=csv,noheader 2>/dev/null || true)"
            if [[ -z "$CAP_LINES" ]]; then
              CAP_LINES="$(nvidia-smi -q 2>/dev/null | awk -F: '/Compute Capability/ {print $2}')"
            fi
            CAP_MAX="$(echo "$CAP_LINES" | awk '{gsub(/[^0-9.]/,""); if ($0=="") next; if ($0+0>max) max=$0+0} END {if (max>0) print max}')"
            if [[ -n "$CAP_MAX" ]]; then
              if awk -v cap="$CAP_MAX" 'BEGIN{exit !(cap>=7.5)}'; then
                TORCH_INDEX_URL="https://download.pytorch.org/whl/cu130"
                TORCH_REASON="compute capability ${CAP_MAX} >= 7.5"
              else
                TORCH_INDEX_URL="https://download.pytorch.org/whl/cu126"
                TORCH_REASON="compute capability ${CAP_MAX} < 7.5"
              fi
            fi
          fi
          echo "Installing PyTorch from ${TORCH_INDEX_URL} (${TORCH_REASON})."
          uv pip install --system --index-url "$TORCH_INDEX_URL" --upgrade --force-reinstall torch torchvision
          uv pip install --system --index-url https://pypi.org/simple --upgrade "onnxscript>=0.7.0" "onnx-ir>=0.2.1" onnx onnxruntime timm

      - name: Run Training Script
        run: |
          cd /opt/qmb
          export PYTHONPATH="$QMB_TASK_REPO_ROOT:${PYTHONPATH:-}"
          #source .venv/bin/activate
          qmb train --config /opt/qmb/configs/train.yaml

      - name: Collect training artifacts
        if: always()
        run: |
          set -euo pipefail
          ARTIFACT_DIR="${{ github.workspace }}/.riahub/artifacts/training"
          rm -rf "$ARTIFACT_DIR"
          mkdir -p "$ARTIFACT_DIR"
          if [[ -d "$QMB_OUTPUT_ROOT" ]]; then
            while IFS= read -r -d '' file; do
              rel="${file#${QMB_OUTPUT_ROOT}/}"
              if [[ "$rel" == "$file" ]]; then
                rel="$(basename "$file")"
              fi
              mkdir -p "$ARTIFACT_DIR/$(dirname "$rel")"
              cp "$file" "$ARTIFACT_DIR/$rel"
            done < <(
              find "$QMB_OUTPUT_ROOT" -type f \( \
                -path "*/checkpoints/best.pt" -o \
                -path "*/checkpoints/best.ckpt" -o \
                -name "*.onnx" -o \
                -path "*/evaluation/*/confusion_matrix.png" -o \
                -path "*/evaluation/*/parameter_sweeps/*.png" \
              \) -print0
            )
          else
            echo "QMB output root not found: $QMB_OUTPUT_ROOT"
          fi
          echo "Collected training artifacts:"
          find "$ARTIFACT_DIR" -type f -print | sort || true

      - name: ⬆️ Upload training artifacts
        if: always()
        uses: actions/upload-artifact@v3
        with:
          name: training-artifacts
          path: ${{ github.workspace }}/.riahub/artifacts/training
          if-no-files-found: warn

# committed at 2026-05-28T09:37:23.399702+00:00