RuView/.github/workflows/csi-encoder-training.yml

name: CSI encoder training harness

on:
  pull_request:
    paths:
      - 'scripts/csi_training/**'
      - 'scripts/field-context-probe/**'
      - 'scripts/active-kge/**'
      - 'scripts/pretrain-csi-predictive.py'
      - 'scripts/pretrain-csi-transfer.py'
      - 'scripts/benchmark-csi-intake.py'
      - 'scripts/evaluate-active-evidence.py'
      - 'scripts/verify-active-replay.py'
      - 'scripts/train-csi-encoder.py'
      - 'scripts/train-espfi.py'
      - 'scripts/improve-espfi.py'
      - 'scripts/improve-espfi-kernel.py'
      - 'scripts/improve-espfi-blend.py'
      - 'scripts/requirements-espfi-training.txt'
      - 'scripts/requirements-espfi-inference.txt'
      - 'scripts/requirements-csi-training.txt'
      - 'scripts/requirements-zenodo-intake.txt'
      - 'scripts/tests/test_csi_training*.py'
      - 'scripts/tests/test_espfi*.py'
      - '.github/workflows/csi-encoder-training.yml'
  workflow_dispatch:

permissions:
  contents: read

jobs:
  synthetic-cpu-contract:
    runs-on: ubuntu-latest
    timeout-minutes: 15
    steps:
      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1
        with:
          persist-credentials: false
      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1
        with:
          python-version: '3.12'
      - name: Install pinned CPU training dependencies
        run: |
          python -m pip install torch==2.11.0 --index-url https://download.pytorch.org/whl/cpu
          python -m pip install -r scripts/requirements-csi-training.txt
          python -m pip install -r scripts/requirements-espfi-training.txt
          python -m pip install -r scripts/requirements-zenodo-intake.txt
      - name: Validate real training code using temporary synthetic data
        env:
          PYTHONPATH: scripts
          OPENBLAS_NUM_THREADS: '1'
          OMP_NUM_THREADS: '1'
        run: python -m unittest discover -s scripts/tests -p 'test_csi_training*.py' -v
      - name: Validate public amplitude intake and optimization with synthetic fixtures
        env:
          PYTHONPATH: scripts
          OPENBLAS_NUM_THREADS: '1'
          OMP_NUM_THREADS: '1'
        run: python -m unittest discover -s scripts/tests -p 'test_espfi*.py' -v
      - name: Enforce capture data policy
        run: bash scripts/csi-data-policy-check.sh --tracked
      - name: Validate native feature bounds with sanitizers
        run: |
          cc -std=c11 -O1 -g -fno-fast-math -ffp-contract=off \
            -fsanitize=address,undefined -fno-omit-frame-pointer \
            scripts/csi_training/espfi_motion_native.c \
            scripts/csi_training/espfi_motion_native_probe.c \
            -lm -o "$RUNNER_TEMP/espfi-native-probe"
          "$RUNNER_TEMP/espfi-native-probe"

  field-context-contract:
    runs-on: ubuntu-latest
    timeout-minutes: 15
    defaults:
      run:
        working-directory: scripts/field-context-probe
    steps:
      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1
        with:
          persist-credentials: false
      - name: Install fixed Rust toolchain
        run: rustup toolchain install 1.90.0 --profile minimal
      - name: Verify actual field and graph library contracts
        run: cargo +1.90.0 test --locked
      - name: Exercise synthetic evidence pipeline
        run: cargo +1.90.0 run --locked --quiet --bin ruview-field-context-probe
      - name: Exercise active evidence lifecycle
        run: cargo +1.90.0 run --locked --quiet --bin ruview-field-context-probe -- --active-loop

  active-kge-contract:
    runs-on: ubuntu-latest
    timeout-minutes: 15
    steps:
      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1
        with:
          persist-credentials: false
      - uses: actions/setup-node@820762786026740c76f36085b0efc47a31fe5020
        with:
          node-version: '22'
      - name: Install exact KGE experiment dependency
        working-directory: scripts/active-kge
        run: npm ci --ignore-scripts --no-audit --no-fund
      - name: Validate actual trained KGE and bounded artifact contract
        working-directory: scripts/active-kge
        run: npm test
      - name: Install fixed Rust toolchain
        run: rustup toolchain install 1.90.0 --profile minimal
      - name: Feed actual KGE proposals through Rust authority boundary
        run: |
          node scripts/active-kge/cli.mjs --train "$RUNNER_TEMP/kge" --context context_1_8 > "$RUNNER_TEMP/ranking.json"
          cargo +1.90.0 run --locked --quiet --manifest-path scripts/field-context-probe/Cargo.toml -- --active-loop > "$RUNNER_TEMP/reference.json"
          cargo +1.90.0 run --locked --quiet --manifest-path scripts/field-context-probe/Cargo.toml -- --active-loop --ranking "$RUNNER_TEMP/ranking.json" > "$RUNNER_TEMP/candidate.json"
          python scripts/verify-active-replay.py "$RUNNER_TEMP/reference.json" "$RUNNER_TEMP/candidate.json"