#!/usr/bin/env bash
# Fetch a public model, then run one pinned CPU measurement.
set -euo pipefail

if [[ $# -lt 2 || $# -gt 3 ]]; then
  echo 'usage: scripts/run_model.sh <hf_repo> <commit_sha> [Q4_K_M|Q5_K_M|Q8_0]' >&2
  exit 2
fi
MODEL="$1"
REVISION="$2"
QUANT="${3:-Q4_K_M}"
IMAGE='ghcr.io/ggml-org/llama.cpp:full@sha256:5faf86f95747fbb40014a8b28c505d8ec0da3d983d4d368a6650bc056f252688'
HARNESS_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
EVIDENCE="${EVIDENCE_DIR:-$PWD/evidence}"
mkdir -p "$EVIDENCE"
EVIDENCE="$(cd "$EVIDENCE" && pwd)"

python3 "$HARNESS_DIR/fetch_inputs.py" --model "$MODEL" --revision "$REVISION" --quant "$QUANT" --evidence-dir "$EVIDENCE"

docker run --rm \
  --user "$(id -u):$(id -g)" \
  --cpus="${HARNESS_CPUS:-8}" \
  --memory="${HARNESS_MEMORY:-28g}" \
  --network none \
  --entrypoint /bin/bash \
  -e LD_LIBRARY_PATH=/app \
  -e HOME=/tmp \
  -v "$EVIDENCE:/evidence" \
  -v "$HARNESS_DIR:/harness:ro" \
  "$IMAGE" -lc \
  'python3 /harness/harness/run_owned.py --inputs /evidence/derived-inputs.json --evidence-dir /evidence'