forked from niuniu/llm-intelligence
41 lines
1.4 KiB
Bash
Executable File
41 lines
1.4 KiB
Bash
Executable File
#!/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
|