name: PR Test - Multimodal Gen

on:
  workflow_call:
    inputs:
      multimodal_gen:
        required: true
        type: string
      sgl_kernel:
        required: true
        type: string
      b200_runner:
        required: true
        type: string
      continue_on_error:
        required: false
        type: string
        default: 'false'
      pr_head_sha:
        required: false
        type: string
        default: ''
      git_ref:
        required: false
        type: string
        default: ''
      target_stage:
        required: false
        type: string
        default: ''
      test_parallel_dispatch:
        required: false
        type: string
        default: 'false'
      caller_needs_failure:
        required: false
        type: string
        default: 'false'
      skip_stage_health_check:
        required: false
        type: string
        default: 'false'

# Workflow-level env is NOT inherited from the caller in reusable workflows.
# The github context (including github.event_name) IS inherited from the caller.
env:
  SGLANG_IS_IN_CI: true
  SGLANG_CUDA_COREDUMP: "1"
  PR_TEST_BYPASS_MAINTENANCE_ON_MAIN: ${{ github.ref == 'refs/heads/main' && 'true' || 'false' }}
  SKIP_STAGE_HEALTH_CHECK: ${{ inputs.skip_stage_health_check == 'true' }}

jobs:
  compute-diffusion-partitions:
    if: |
      (inputs.target_stage == 'multimodal-gen-test-1-gpu') ||
      (inputs.target_stage == 'multimodal-gen-test-2-gpu') ||
      (
        !inputs.target_stage &&
        inputs.multimodal_gen == 'true'
      )
    runs-on: ubuntu-latest
    outputs:
      matrix-1gpu: ${{ steps.compute.outputs.matrix-1gpu }}
      matrix-2gpu: ${{ steps.compute.outputs.matrix-2gpu }}
      partition-count-1gpu: ${{ steps.compute.outputs['partition-count-1gpu'] }}
      partition-count-2gpu: ${{ steps.compute.outputs['partition-count-2gpu'] }}
      plan-1gpu: ${{ steps.compute.outputs.plan-1gpu }}
      plan-2gpu: ${{ steps.compute.outputs.plan-2gpu }}
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          ref: ${{ inputs.pr_head_sha || inputs.git_ref || github.sha }}

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.10'

      - name: Compute partitions
        id: compute
        run: |
          python scripts/ci/utils/diffusion/compute_diffusion_partitions.py --min-time 1200 --target-time 1800 --max-time 2400 --max-partitions 10

  multimodal-gen-test-1-gpu:
    needs: compute-diffusion-partitions
    if: |
      always() &&
      needs.compute-diffusion-partitions.result == 'success' &&
      needs.compute-diffusion-partitions.outputs.matrix-1gpu != '{"include":[]}' &&
      (
        (inputs.target_stage == 'multimodal-gen-test-1-gpu') ||
        (
          !inputs.target_stage &&
          ((github.event_name == 'schedule' || inputs.test_parallel_dispatch == 'true') || (inputs.caller_needs_failure != 'true' && !cancelled())) &&
          inputs.multimodal_gen == 'true'
        )
      )
    runs-on: 1-gpu-h100
    timeout-minutes: 240
    strategy:
      fail-fast: false
      matrix: ${{ fromJson(needs.compute-diffusion-partitions.outputs.matrix-1gpu) }}
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          ref: ${{ inputs.pr_head_sha || inputs.git_ref || github.sha }}

      - uses: ./.github/actions/check-stage-health

      - uses: ./.github/actions/check-maintenance

      - name: Download artifacts
        if: inputs.sgl_kernel == 'true'
        uses: actions/download-artifact@v4
        with:
          path: sgl-kernel/dist/
          merge-multiple: true
          pattern: wheel-python3.10-cuda*

      - name: Install dependencies
        timeout-minutes: 20
        run: |
          CUSTOM_BUILD_SGL_KERNEL=${{inputs.sgl_kernel}} bash scripts/ci/cuda/ci_install_dependency.sh diffusion
      - name: Run diffusion server tests
        timeout-minutes: 240
        env:
          RUNAI_STREAMER_MEMORY_LIMIT: 0
          CONTINUE_ON_ERROR_FLAG: ${{ inputs.continue_on_error == 'true' && '--continue-on-error' || '' }}
          PARTITION_PLAN_JSON: ${{ needs.compute-diffusion-partitions.outputs.plan-1gpu }}
          SGLANG_DIFFUSION_ARTIFACT_DIR: ${{ github.workspace }}/diffusion-failures
        run: |
          cd python
          python3 sglang/multimodal_gen/test/run_suite.py \
            --suite 1-gpu \
            --partition-id ${{ matrix.part }} \
            --total-partitions ${{ needs.compute-diffusion-partitions.outputs['partition-count-1gpu'] }} \
            --partition-plan-json "$PARTITION_PLAN_JSON" \
            $CONTINUE_ON_ERROR_FLAG

      - name: Upload execution report
        if: always()
        uses: actions/upload-artifact@v4
        with:
          name: diffusion-report-1gpu-${{ matrix.part }}
          path: python/sglang/multimodal_gen/test/execution_report_*.json
          retention-days: 1

      - name: Upload diffusion failure artifacts
        if: always()
        uses: actions/upload-artifact@v4
        with:
          name: diffusion-failures-1gpu-${{ matrix.part }}-${{ github.run_attempt }}
          path: diffusion-failures/
          if-no-files-found: ignore
          retention-days: 7

      - uses: ./.github/actions/upload-cuda-coredumps
        if: failure()
        with:
          artifact-suffix: ${{ matrix.part }}

  multimodal-gen-test-2-gpu:
    needs: compute-diffusion-partitions
    if: |
      always() &&
      needs.compute-diffusion-partitions.result == 'success' &&
      needs.compute-diffusion-partitions.outputs.matrix-2gpu != '{"include":[]}' &&
      (
        (inputs.target_stage == 'multimodal-gen-test-2-gpu') ||
        (
          !inputs.target_stage &&
          ((github.event_name == 'schedule' || inputs.test_parallel_dispatch == 'true') || (inputs.caller_needs_failure != 'true' && !cancelled())) &&
          inputs.multimodal_gen == 'true'
        )
      )
    runs-on: 2-gpu-h100
    timeout-minutes: 240
    strategy:
      fail-fast: false
      matrix: ${{ fromJson(needs.compute-diffusion-partitions.outputs.matrix-2gpu) }}
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          ref: ${{ inputs.pr_head_sha || inputs.git_ref || github.sha }}

      - uses: ./.github/actions/check-stage-health

      - uses: ./.github/actions/check-maintenance

      - name: Download artifacts
        if: inputs.sgl_kernel == 'true'
        uses: actions/download-artifact@v4
        with:
          path: sgl-kernel/dist/
          merge-multiple: true
          pattern: wheel-python3.10-cuda*

      - name: Install dependencies
        timeout-minutes: 20
        run: |
          CUSTOM_BUILD_SGL_KERNEL=${{inputs.sgl_kernel}} bash scripts/ci/cuda/ci_install_dependency.sh diffusion

      - name: Run diffusion server tests
        timeout-minutes: 240
        env:
          RUNAI_STREAMER_MEMORY_LIMIT: 0
          CONTINUE_ON_ERROR_FLAG: ${{ inputs.continue_on_error == 'true' && '--continue-on-error' || '' }}
          PARTITION_PLAN_JSON: ${{ needs.compute-diffusion-partitions.outputs.plan-2gpu }}
          SGLANG_DIFFUSION_ARTIFACT_DIR: ${{ github.workspace }}/diffusion-failures
        run: |
          cd python
          python3 sglang/multimodal_gen/test/run_suite.py \
            --suite 2-gpu \
            --partition-id ${{ matrix.part }} \
            --total-partitions ${{ needs.compute-diffusion-partitions.outputs['partition-count-2gpu'] }} \
            --partition-plan-json "$PARTITION_PLAN_JSON" \
            $CONTINUE_ON_ERROR_FLAG

      - name: Upload execution report
        if: always()
        uses: actions/upload-artifact@v4
        with:
          name: diffusion-report-2gpu-${{ matrix.part }}
          path: python/sglang/multimodal_gen/test/execution_report_*.json
          retention-days: 1

      - name: Upload diffusion failure artifacts
        if: always()
        uses: actions/upload-artifact@v4
        with:
          name: diffusion-failures-2gpu-${{ matrix.part }}-${{ github.run_attempt }}
          path: diffusion-failures/
          if-no-files-found: ignore
          retention-days: 7

      - uses: ./.github/actions/upload-cuda-coredumps
        if: failure()
        with:
          artifact-suffix: ${{ matrix.part }}

  multimodal-gen-component-accuracy:
    if: |
      (
        inputs.target_stage == 'multimodal-gen-component-accuracy' ||
        inputs.target_stage == 'multimodal-gen-component-accuracy-1-gpu' ||
        inputs.target_stage == 'multimodal-gen-component-accuracy-2-gpu'
      ) ||
      (
        !inputs.target_stage &&
        ((github.event_name == 'schedule' || inputs.test_parallel_dispatch == 'true') || (inputs.caller_needs_failure != 'true' && !cancelled())) &&
        inputs.multimodal_gen == 'true'
      )
    runs-on: 2-gpu-h100
    timeout-minutes: 240
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          ref: ${{ inputs.pr_head_sha || inputs.git_ref || github.sha }}

      - uses: ./.github/actions/check-stage-health

      - uses: ./.github/actions/check-maintenance

      - name: Download artifacts
        if: inputs.sgl_kernel == 'true'
        uses: actions/download-artifact@v4
        with:
          path: sgl-kernel/dist/
          merge-multiple: true
          pattern: wheel-python3.10-cuda*

      - name: Install dependencies
        timeout-minutes: 20
        run: |
          CUSTOM_BUILD_SGL_KERNEL=${{inputs.sgl_kernel}} bash scripts/ci/cuda/ci_install_dependency.sh diffusion

      - name: Run diffusion component accuracy tests
        timeout-minutes: 240
        env:
          RUNAI_STREAMER_MEMORY_LIMIT: 0
          CONTINUE_ON_ERROR_FLAG: ${{ inputs.continue_on_error == 'true' && '--continue-on-error' || '' }}
        run: |
          cd python
          python3 sglang/multimodal_gen/test/run_suite.py \
            --suite component-accuracy \
            $CONTINUE_ON_ERROR_FLAG

      - uses: ./.github/actions/upload-cuda-coredumps
        if: always()
        with:
          artifact-suffix: component-accuracy

  multimodal-gen-test-1-b200:
    if: |
      (inputs.target_stage == 'multimodal-gen-test-1-b200') ||
      (
        !inputs.target_stage &&
        ((github.event_name == 'schedule' || inputs.test_parallel_dispatch == 'true') || (inputs.caller_needs_failure != 'true' && !cancelled())) &&
        inputs.multimodal_gen == 'true'
      )
    runs-on: ${{ inputs.b200_runner }}
    timeout-minutes: 240
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          ref: ${{ inputs.pr_head_sha || inputs.git_ref || github.sha }}

      - uses: ./.github/actions/check-stage-health

      - uses: ./.github/actions/check-maintenance

      - name: Download artifacts
        if: inputs.sgl_kernel == 'true'
        uses: actions/download-artifact@v4
        with:
          path: sgl-kernel/dist/
          merge-multiple: true
          pattern: wheel-python3.10-cuda*

      - name: Install dependencies
        timeout-minutes: 20
        run: |
          CUSTOM_BUILD_SGL_KERNEL=${{inputs.sgl_kernel}} bash scripts/ci/cuda/ci_install_dependency.sh diffusion

      - name: Run diffusion server tests
        timeout-minutes: 240
        env:
          RUNAI_STREAMER_MEMORY_LIMIT: 0
          CONTINUE_ON_ERROR_FLAG: ${{ inputs.continue_on_error == 'true' && '--continue-on-error' || '' }}
          SGLANG_DIFFUSION_ARTIFACT_DIR: ${{ github.workspace }}/diffusion-failures
        run: |
          cd python
          python3 sglang/multimodal_gen/test/run_suite.py \
            --suite 1-gpu-b200 \
            $CONTINUE_ON_ERROR_FLAG

      - name: Upload diffusion failure artifacts
        if: always()
        uses: actions/upload-artifact@v4
        with:
          name: diffusion-failures-${{ github.job }}-${{ github.run_attempt }}
          path: diffusion-failures/
          if-no-files-found: ignore

      - uses: ./.github/actions/upload-cuda-coredumps
        if: failure()

  multimodal-gen-unit-test:
    if: |
      (inputs.target_stage == 'multimodal-gen-unit-test') ||
      (
        !inputs.target_stage &&
        ((github.event_name == 'schedule' || inputs.test_parallel_dispatch == 'true') || (inputs.caller_needs_failure != 'true' && !cancelled())) &&
        inputs.multimodal_gen == 'true'
      )
    runs-on: 1-gpu-h100
    timeout-minutes: 120
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          ref: ${{ inputs.pr_head_sha || inputs.git_ref || github.sha }}

      - uses: ./.github/actions/check-stage-health

      - uses: ./.github/actions/check-maintenance

      - name: Download artifacts
        if: inputs.sgl_kernel == 'true'
        uses: actions/download-artifact@v4
        with:
          path: sgl-kernel/dist/
          merge-multiple: true
          pattern: wheel-python3.10-cuda*

      - name: Install dependencies
        timeout-minutes: 20
        run: |
          CUSTOM_BUILD_SGL_KERNEL=${{inputs.sgl_kernel}} bash scripts/ci/cuda/ci_install_dependency.sh diffusion

      - name: Run diffusion unit tests
        timeout-minutes: 60
        run: |
          cd python
          python3 sglang/multimodal_gen/test/run_suite.py --suite unit

  diffusion-coverage-check:
    needs: [multimodal-gen-test-1-gpu, multimodal-gen-test-2-gpu]
    if: |
      always() &&
      inputs.multimodal_gen == 'true' &&
      (
        needs.multimodal-gen-test-1-gpu.result == 'success' ||
        needs.multimodal-gen-test-1-gpu.result == 'failure' ||
        needs.multimodal-gen-test-2-gpu.result == 'success' ||
        needs.multimodal-gen-test-2-gpu.result == 'failure'
      )
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          ref: ${{ inputs.pr_head_sha || inputs.git_ref || github.sha }}

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.10'

      - name: Download all execution reports
        uses: actions/download-artifact@v4
        with:
          path: reports/
          pattern: diffusion-report-*
          merge-multiple: true

      - name: Verify coverage
        run: |
          python scripts/ci/utils/diffusion/verify_diffusion_coverage.py --reports-dir reports/