forked from niuniu/llm-intelligence
41 lines
1.4 KiB
Bash
41 lines
1.4 KiB
Bash
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#!/bin/bash
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# verify_t34.sh — 验收 T-3.4：Explorer 接入真实 Schema JSON
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set -e
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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PROJECT_ROOT="$(dirname "$SCRIPT_DIR")"
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FILE="$PROJECT_ROOT/frontend/src/pages/Explorer.tsx"
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JSON="$PROJECT_ROOT/frontend/src/data/models.json"
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echo "=== T-3.4 验收检查 ==="
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# T-3.4.1: JSON schema 验证
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python3 -c "
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import json
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d=json.load(open('$JSON'))
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assert all(k in d for k in ['generated_at','total','free','paid','models']), 'missing top keys'
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assert all('pricing' in m and 'input' in m['pricing'] and 'output' in m['pricing'] for m in d['models']), 'missing pricing fields'
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print('json-schema OK')
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" && echo "json-schema PASS — JSON 含 generated_at/total/free/paid/models，且 models 含 pricing.input/output" \
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|| { echo "json-schema FAIL"; exit 1; }
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# T-3.4.2: mapAPIResponseToModels 映射函数存在
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if grep -q 'mapAPIResponseToModels' "$FILE"; then
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echo "mapping PASS — mapAPIResponseToModels 函数存在"
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else
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echo "mapping FAIL"
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exit 1
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fi
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# T-3.4.3: getMockModels 改为从 JSON 加载
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if grep -q "models.json" "$FILE" && \
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! grep -q "provider.*OpenAI\|provider.*Anthropic\|provider.*DeepSeek" "$FILE"; then
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echo "import PASS — getMockModels 引用 models.json，无硬编码 provider"
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else
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echo "import FAIL — 仍有硬编码 mock 数据"
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exit 1
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fi
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echo ""
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echo "all PASS"
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exit 0
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