mirror of
https://github.com/magnus919/agent-skills.git
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Magnus Hedemark
fe8127f353
Standalone CLI that probes GPU (nvidia-smi), CUDA version, PyTorch, scikit-learn, JAX, Optuna, RAM, and disk space — then generates structured recommendations for model size, batch size, quantization, and distillation feasibility. Ships with 12-test suite (7 local + 5 Docker) covering graceful degradation, all output flags, and a containerized no-GPU scenario. Part of #22
194 lines
7.3 KiB
Bash
194 lines
7.3 KiB
Bash
#!/usr/bin/env bash
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# test_detect_compute.sh — Test suite for detect-compute.py
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#
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# Usage:
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# bash scripts/test_detect_compute.sh # Full test suite
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# bash scripts/test_detect_compute.sh --local # Local host only (no Docker)
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# bash scripts/test_detect_compute.sh --docker # Docker tests only
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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REPO_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
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DETECT_SCRIPT="$REPO_DIR/scripts/detect-compute.py"
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TMPDIR="${TMPDIR:-/tmp}/ds-test-$$"
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PASS=0
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FAIL=0
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DOCKER_AVAILABLE=false
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if command -v docker &>/dev/null; then
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DOCKER_AVAILABLE=true
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fi
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mkdir -p "$TMPDIR"
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cleanup() {
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rm -rf "$TMPDIR" 2>/dev/null || true
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}
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trap cleanup EXIT
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# ── Helpers ───────────────────────────────────────────────────────
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run_captured() {
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# Run a command, capture its stdout and stderr to files, return its exit code
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local name="$1"
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shift
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"$@" > "$TMPDIR/$name.stdout" 2>"$TMPDIR/$name.stderr"
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return $?
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}
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read_stdout() {
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cat "$TMPDIR/$1.stdout" 2>/dev/null
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}
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read_stderr() {
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cat "$TMPDIR/$1.stderr" 2>/dev/null
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}
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test_case() {
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local name="$1"
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shift
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local safe_name="${name// /_}"
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safe_name="${safe_name//\//_}"
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echo " TEST: $name"
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if run_captured "$safe_name" "$@"; then
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echo " ✓ PASS"
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PASS=$((PASS + 1))
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else
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local ec=$?
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echo " ✗ FAIL (exit code $ec)"
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echo " stdout: $(head -c 500 < "$TMPDIR/$safe_name.stdout")"
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echo " stderr: $(head -c 500 < "$TMPDIR/$safe_name.stderr")"
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FAIL=$((FAIL + 1))
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fi
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}
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assert_json_valid() {
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local name="$1"
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python3 -c "import json; json.load(open('$TMPDIR/$name.stdout'))" 2>/dev/null
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}
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echo "══════════════════════════════════════════════"
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echo "detect-compute.py Test Suite"
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echo "══════════════════════════════════════════════"
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echo ""
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# ── Phase 1: Local host tests ────────────────────────────────────
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echo "── Phase 1: Local Host ──────────────────────"
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echo ""
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test_case "Script runs without error" python3 "$DETECT_SCRIPT"
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assert_json_valid "Script_runs_without_error" && echo " ✓ Default output is JSON" || true
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test_case "Python version detected" python3 -c "
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import json
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d = json.loads(open('$TMPDIR/Script_runs_without_error.stdout').read())
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assert 'python_version' in d, 'Missing python_version'
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print(d['python_version'])
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"
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test_case "--json produces valid JSON" python3 "$DETECT_SCRIPT" --json
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assert_json_valid "--json_produces_valid_JSON" && echo " ✓ --json output is valid JSON" || true
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test_case "--json output has all required keys" python3 -c "
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import json
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d = json.loads(open('$TMPDIR/--json_produces_valid_JSON.stdout').read())
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required = ['python_version', 'platform', 'has_cuda', 'torch', 'sklearn', 'recommendations']
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for k in required:
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assert k in d, f'Missing key: {k}'
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print(f'All {len(required)} required keys present')
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"
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test_case "--minimal returns only recommendations" python3 "$DETECT_SCRIPT" --minimal
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assert_json_valid "--minimal_returns_only_recommendations" && echo " ✓ --minimal output is valid JSON" || true
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test_case "--minimal output has recommendation keys" python3 -c "
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import json
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d = json.loads(open('$TMPDIR/--minimal_returns_only_recommendations.stdout').read())
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assert 'model_size_tier' in d, 'Missing model_size_tier'
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assert 'feasible_techniques' in d, 'Missing feasible_techniques'
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assert 'batch_size_guide' in d, 'Missing batch_size_guide'
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print(f'Tier: {d[\"model_size_tier\"]}, techniques: {d[\"feasible_techniques\"]}')
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"
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test_case "--list-gpus runs without error" python3 "$DETECT_SCRIPT" --list-gpus
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# ── Phase 2: Docker tests (no GPU, no torch) ────────────────────
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echo ""
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echo "── Phase 2: Docker (no GPU, no torch) ───────"
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echo ""
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if [ "$DOCKER_AVAILABLE" = true ] && [ "${1:-}" != "--local" ]; then
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DOCKER_TAG="ds-detect-test-$$"
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cat > "$TMPDIR/Dockerfile.nogpu" << 'DOCKERFILE'
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FROM python:3.12-slim
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RUN pip install --quiet --no-cache-dir scikit-learn numpy psutil
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COPY scripts/detect-compute.py /scripts/detect-compute.py
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WORKDIR /
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DOCKERFILE
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mkdir -p "$TMPDIR/context/scripts"
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cp "$DETECT_SCRIPT" "$TMPDIR/context/scripts/detect-compute.py"
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cp "$TMPDIR/Dockerfile.nogpu" "$TMPDIR/context/Dockerfile"
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echo " Building Docker test image (no GPU, no torch)..."
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docker build -t "$DOCKER_TAG" -f "$TMPDIR/context/Dockerfile" "$TMPDIR/context" >/dev/null 2>&1
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test_case "Docker: script runs" \
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docker run --rm "$DOCKER_TAG" python3 /scripts/detect-compute.py --json
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test_case "Docker: has_cuda is false" \
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docker run --rm "$DOCKER_TAG" python3 -c "
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import json, subprocess, sys
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r = subprocess.run([sys.executable, '/scripts/detect-compute.py', '--json'], capture_output=True, text=True)
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d = json.loads(r.stdout)
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assert d['has_cuda'] == False, 'GPU should not be detected in plain container'
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assert d['nvidia'] == {}, 'nvidia should be empty'
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print('OK: has_cuda=false, nvidia={}')
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"
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test_case "Docker: torch is not available" \
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docker run --rm "$DOCKER_TAG" python3 -c "
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import json, subprocess, sys
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r = subprocess.run([sys.executable, '/scripts/detect-compute.py', '--json'], capture_output=True, text=True)
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d = json.loads(r.stdout)
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assert d['torch']['available'] == False, 'torch should not be available'
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print('OK: torch not available')
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"
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test_case "Docker: sklearn is available" \
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docker run --rm "$DOCKER_TAG" python3 -c "
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import json, subprocess, sys
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r = subprocess.run([sys.executable, '/scripts/detect-compute.py', '--json'], capture_output=True, text=True)
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d = json.loads(r.stdout)
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assert d['sklearn']['available'] == True, 'sklearn should be available'
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print(f'sklearn {d[\"sklearn\"][\"version\"]}')
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"
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test_case "Docker: recommendations reflect CPU-only" \
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docker run --rm "$DOCKER_TAG" python3 -c "
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import json, subprocess, sys
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r = subprocess.run([sys.executable, '/scripts/detect-compute.py', '--json'], capture_output=True, text=True)
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d = json.loads(r.stdout)
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rec = d['recommendations']
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assert rec['model_size_tier'] == 'cpu_only', f'Expected cpu_only, got {rec[\"model_size_tier\"]}'
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assert 'sklearn' in str(rec['feasible_techniques']), 'Should recommend sklearn'
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print(f'Tier: {rec[\"model_size_tier\"]}, techniques: {rec[\"feasible_techniques\"]}')
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"
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docker image rm "$DOCKER_TAG" >/dev/null 2>&1 || true
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else
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echo " (skipping — Docker not available or --local flag)"
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fi
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# ── Summary ──────────────────────────────────────────────────────
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echo ""
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echo "══════════════════════════════════════════════"
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echo "Results: $PASS passed, $FAIL failed"
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echo "══════════════════════════════════════════════"
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if [ "$FAIL" -gt 0 ]; then
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exit 1
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fi
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