# Exact source snapshot (already present on mounted storage)
SOURCE=/run/media/popov/DATA/llm/safetensor/models/models--Qwen--Qwen2.5-0.5B-Instruct/snapshots/7ae557604adf67be50417f59c2c2f167def9a775
LLAMA=/run/media/popov/d/DEV/llamacpp/llama.cpp
ROCM_PY=/run/media/popov/d/DEV/repos/d-popov.com/AI/.venv-rocm/bin/python
PROJECT_PY=/run/media/popov/d/DEV/repos/d-popov.com/AI/.venv/bin/python
OUT=/run/media/popov/DATA/llm/dgr-001
SIGNING_KEY=/home/popov/.config/neuron-tai/keys/dgr-001-evidence-ed25519.pem

# Private signing key is outside Git and must remain owner-only
stat -c '%a %n' "$SIGNING_KEY"  # expected: 600

# Converter support check (no writes)
$ROCM_PY $LLAMA/convert_hf_to_gguf.py "$SOURCE" --outtype f16 --outfile "$OUT/Qwen2.5-0.5B-Instruct-7ae5576-F16.gguf" --dry-run

# Exact-revision near-lossless and performance-fit artifacts
$ROCM_PY $LLAMA/convert_hf_to_gguf.py "$SOURCE" --outtype f16 --outfile "$OUT/Qwen2.5-0.5B-Instruct-7ae5576-F16.gguf"
$LLAMA/build/bin/llama-quantize "$OUT/Qwen2.5-0.5B-Instruct-7ae5576-F16.gguf" "$OUT/Qwen2.5-0.5B-Instruct-7ae5576-Q4_K_M.gguf" Q4_K_M
$ROCM_PY $LLAMA/convert_hf_to_gguf.py "$SOURCE" --outtype bf16 --outfile "$OUT/Qwen2.5-0.5B-Instruct-7ae5576-BF16.gguf"

# Runtime and artifact identity
git -C "$LLAMA" rev-parse HEAD
$LLAMA/build/bin/llama-server --version
sha256sum "$LLAMA/build/bin/llama-server" "$LLAMA/convert_hf_to_gguf.py" "$LLAMA/build/bin/llama-quantize"
sha256sum "$SOURCE/model.safetensors" "$OUT/Qwen2.5-0.5B-Instruct-7ae5576-BF16.gguf" "$OUT/Qwen2.5-0.5B-Instruct-7ae5576-Q4_K_M.gguf"

# Deterministic complete-snapshot digest used by benchmark-config.json
PYTHONPATH=packages/node $ROCM_PY - <<'PY'
from pathlib import Path
from meshnet_node.recipe_drivers import _artifact_sha256
print(_artifact_sha256(Path('/run/media/popov/DATA/llm/safetensor/models/models--Qwen--Qwen2.5-0.5B-Instruct/snapshots/7ae557604adf67be50417f59c2c2f167def9a775')))
PY

# Canonical opt-in local-real benchmark
MESHNET_ENABLE_REAL_INFERENCE_TESTS=1 MESHNET_EVIDENCE_SIGNING_KEY="$SIGNING_KEY" \
  PYTHONPATH=packages/node $ROCM_PY -m meshnet_node.recipe_benchmark \
  --config .scratch/distributed-gguf-runtime/evidence/DGR-001/benchmark-config.json \
  --json-out .scratch/distributed-gguf-runtime/evidence/DGR-001/results.json \
  --summary-out .scratch/distributed-gguf-runtime/evidence/DGR-001/results.txt

# Distil the baseline and evaluate immutable v1
PYTHONPATH=packages/node $PROJECT_PY - <<'PY'
from pathlib import Path
import json
from meshnet_node.performance_contract import baseline_from_report, evaluate_contract, load_contract
root = Path('.scratch/distributed-gguf-runtime/evidence/DGR-001')
report = json.loads((root / 'results.json').read_text())
contract = load_contract(root / 'performance-contract.json')
(root / 'baseline.json').write_text(json.dumps(baseline_from_report(report), indent=2, sort_keys=True) + '\n')
(root / 'contract-evaluation.json').write_text(json.dumps(evaluate_contract(contract, report).to_dict(), indent=2, sort_keys=True) + '\n')
PY

# Optional ROCm GPU diagnostic (not eligible for immutable v1)
# The version-matched rocm[devel] wheel expands beyond 20 GB; ensure sufficient
# space or relocate its packaged payload before installation.
uv pip install --python "$ROCM_PY" --prerelease=allow \
  --index-url https://rocm.nightlies.amd.com/v2/gfx1151/ \
  'rocm[devel]==7.13.0a20260513'
ROCM_VENV=/run/media/popov/d/DEV/repos/d-popov.com/AI/.venv-rocm
ROCM_SDK="$ROCM_VENV/bin/rocm-sdk"
ROCM_ROOT="$($ROCM_SDK path --root)"
ROCM_BIN="$($ROCM_SDK path --bin)"
export PATH="$ROCM_VENV/bin:$ROCM_BIN:$PATH"
export ROCM_PATH="$ROCM_ROOT" HIP_PATH="$ROCM_ROOT"
export CMAKE_PREFIX_PATH="$($ROCM_SDK path --cmake):$ROCM_ROOT"
export LD_LIBRARY_PATH="$ROCM_ROOT/lib:$ROCM_ROOT/lib64:${LD_LIBRARY_PATH:-}"
$ROCM_VENV/bin/cmake -S /run/media/popov/d/DEV/llamacpp/llama.cpp \
  -B /run/media/popov/d/DEV/llamacpp/llama.cpp/build-hip -G Ninja \
  -DGGML_HIP=ON -DGPU_TARGETS=gfx1151 \
  -DCMAKE_HIP_COMPILER="$ROCM_VENV/bin/amdclang++" \
  -DCMAKE_BUILD_TYPE=Release -DLLAMA_BUILD_TESTS=OFF \
  -DLLAMA_BUILD_EXAMPLES=ON -DLLAMA_BUILD_SERVER=ON
$ROCM_VENV/bin/cmake --build /run/media/popov/d/DEV/llamacpp/llama.cpp/build-hip \
  --target llama-server llama-cli llama-bench -j 16
MESHNET_ENABLE_REAL_INFERENCE_TESTS=1 MESHNET_EVIDENCE_SIGNING_KEY="$SIGNING_KEY" \
  PYTHONPATH=packages/node $ROCM_PY -m meshnet_node.recipe_benchmark \
  --profile gpu-diagnostic \
  --config .scratch/distributed-gguf-runtime/evidence/DGR-001/gpu-diagnostic-config.json \
  --json-out .scratch/distributed-gguf-runtime/evidence/DGR-001/gpu-diagnostic-results.json \
  --summary-out .scratch/distributed-gguf-runtime/evidence/DGR-001/gpu-diagnostic-results.txt
PYTHONPATH=packages/node $PROJECT_PY \
  .scratch/distributed-gguf-runtime/evidence/DGR-001/summarize-quality-parity.py

# Deterministic verification
PYTHONPATH=packages/node $PROJECT_PY -m pytest -q tests/test_recipe_benchmark.py
PYTHONPATH=packages/node $PROJECT_PY -m pytest -q
PYTHONPATH=packages/node $PROJECT_PY -m compileall -q packages tests
git diff --check