llm-intelligence/scripts/verify_t34.sh

#!/bin/bash
# verify_t34.sh — 验收 T-3.4：前端 fixture JSON 接入与回退层
set -e
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
PROJECT_ROOT="$(dirname "$SCRIPT_DIR")"
FILE="$PROJECT_ROOT/frontend/src/lib/models.ts"
JSON="$PROJECT_ROOT/frontend/src/data/models.json"

echo "=== T-3.4 验收检查 ==="

# T-3.4.1: JSON schema 验证
python3 -c "
import json
d=json.load(open('$JSON'))
assert all(k in d for k in ['generated_at','total','free','paid','models']), 'missing top keys'
assert all('pricing' in m and 'input' in m['pricing'] and 'output' in m['pricing'] for m in d['models']), 'missing pricing fields'
print('json-schema  OK')
" && echo "json-schema  PASS — JSON 含 generated_at/total/free/paid/models，且 models 含 pricing.input/output" \
|| { echo "json-schema  FAIL"; exit 1; }

# T-3.4.2: 前端具备 normalizeModel 映射函数
if grep -q 'normalizeModel' "$FILE"; then
    echo "mapping      PASS — normalizeModel 映射函数存在"
else
    echo "mapping      FAIL"
    exit 1
fi

# T-3.4.3: fixture fallback 从 models.json 加载，而不是页面内硬编码 mock 数据
if grep -q "models.json" "$FILE" && \
   ! grep -q "provider.*OpenAI\|provider.*Anthropic\|provider.*DeepSeek" "$FILE"; then
    echo "import      PASS — 回退层引用 models.json，无页面内硬编码 mock 数据"
else
    echo "import      FAIL — 仍有硬编码 mock 数据"
    exit 1
fi

echo ""
echo "all PASS"
exit 0