Files
Szpitale-graph/skills/research-en/validate_json.py
T
jilinchenandClaude Opus 4.5 10377e95e2 feat: add bilingual support (zh/en) for research skills
- Rename skills/research to skills/research-en (English version)
- Add skills/research-zh (Chinese version with SKILL.md structure)
- Update README.md with bilingual documentation
- Add web-search-agent.md

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-07 01:48:55 +08:00

220 lines
7.6 KiB
Python

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
JSON字段验证脚本
验证JSON文件是否完整覆盖fields.yaml中定义的所有字段
"""
import json
import yaml
import sys
from pathlib import Path
from typing import Dict, List, Set, Any, Tuple
# Category中英文映射
CATEGORY_MAPPING = {
"基本信息": ["basic_info", "基本信息"],
"技术特性": ["technical_features", "technical_characteristics", "技术特性"],
"性能指标": ["performance_metrics", "performance", "性能指标"],
"里程碑意义": ["milestone_significance", "milestones", "里程碑意义"],
"商业信息": ["business_info", "commercial_info", "商业信息"],
"竞争与生态": ["competition_ecosystem", "competition", "竞争与生态"],
"历史沿革": ["history", "历史沿革"],
"市场定位": ["market_positioning", "market", "市场定位"],
}
def load_fields_yaml(fields_path: Path) -> Tuple[Set[str], Set[str], Dict[str, str]]:
"""
加载fields.yaml,返回:
- all_fields: 所有字段名集合
- required_fields: required=true的字段名集合
- field_categories: 字段名到类别的映射
"""
with open(fields_path, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
all_fields = set()
required_fields = set()
field_categories = {}
for category_info in data.get("field_categories", []):
category_name = category_info["category"]
for field in category_info.get("fields", []):
field_name = field["name"]
all_fields.add(field_name)
field_categories[field_name] = category_name
if field.get("required", False):
required_fields.add(field_name)
return all_fields, required_fields, field_categories
def extract_json_fields(data: Dict, category_mapping: Dict = None) -> Set[str]:
"""
从JSON中提取所有字段名(支持扁平和嵌套结构)
"""
if category_mapping is None:
category_mapping = CATEGORY_MAPPING
# 获取所有可能的嵌套key
nested_keys = set()
for keys in category_mapping.values():
nested_keys.update(keys)
fields = set()
def collect_fields(d: Dict, is_top_level: bool = True):
for k, v in d.items():
# 跳过内部字段
if k in {"_source_file", "uncertain"}:
continue
# 如果是嵌套结构的顶级key,递归进入
if is_top_level and k in nested_keys:
if isinstance(v, dict):
collect_fields(v, is_top_level=False)
else:
fields.add(k)
if isinstance(v, dict):
collect_fields(v, is_top_level=False)
collect_fields(data)
return fields
def validate_json(json_path: Path, all_fields: Set[str], required_fields: Set[str],
field_categories: Dict[str, str]) -> Dict:
"""
验证单个JSON文件
返回验证结果字典
"""
with open(json_path, 'r', encoding='utf-8') as f:
data = json.load(f)
json_fields = extract_json_fields(data)
# 计算覆盖情况
covered = all_fields & json_fields
missing = all_fields - json_fields
extra = json_fields - all_fields
# 分类缺失字段
missing_required = missing & required_fields
missing_optional = missing - required_fields
# 按类别分组缺失字段
missing_by_category = {}
for field in missing:
cat = field_categories.get(field, "未知")
if cat not in missing_by_category:
missing_by_category[cat] = []
missing_by_category[cat].append(field)
return {
"file": json_path.name,
"total_defined": len(all_fields),
"covered": len(covered),
"missing": len(missing),
"extra": len(extra),
"coverage_rate": len(covered) / len(all_fields) * 100 if all_fields else 100,
"missing_required": list(missing_required),
"missing_optional": list(missing_optional),
"missing_by_category": missing_by_category,
"extra_fields": list(extra),
"valid": len(missing_required) == 0, # required字段全覆盖则valid
}
def print_result(result: Dict, verbose: bool = True):
"""打印验证结果"""
status = "PASS" if result["valid"] else "FAIL"
print(f"\n{'='*60}")
print(f"[{status}] {result['file']}")
print(f"{'='*60}")
print(f"覆盖率: {result['coverage_rate']:.1f}% ({result['covered']}/{result['total_defined']})")
if result["missing_required"]:
print(f"\n[ERROR] 缺失必需字段 ({len(result['missing_required'])}):")
for field in result["missing_required"]:
print(f" - {field}")
if verbose and result["missing_optional"]:
print(f"\n[WARN] 缺失可选字段 ({len(result['missing_optional'])}):")
for cat, fields in result["missing_by_category"].items():
optional_fields = [f for f in fields if f not in result["missing_required"]]
if optional_fields:
print(f" [{cat}]: {', '.join(optional_fields)}")
if verbose and result["extra_fields"]:
print(f"\n[INFO] 额外字段 ({len(result['extra_fields'])}):")
print(f" {', '.join(result['extra_fields'][:10])}")
if len(result["extra_fields"]) > 10:
print(f" ... 及 {len(result['extra_fields']) - 10} 个其他字段")
def main():
"""主函数"""
import argparse
parser = argparse.ArgumentParser(description="验证JSON文件是否覆盖fields.yaml定义的所有字段")
parser.add_argument("--fields", "-f", type=str, help="fields.yaml路径", default="fields.yaml")
parser.add_argument("--json", "-j", type=str, nargs="*", help="要验证的JSON文件路径")
parser.add_argument("--dir", "-d", type=str, help="JSON文件目录", default="results")
parser.add_argument("--quiet", "-q", action="store_true", help="只显示摘要")
args = parser.parse_args()
# 定位fields.yaml
fields_path = Path(args.fields)
if not fields_path.exists():
# 尝试在当前目录和父目录查找
for p in [Path.cwd() / "fields.yaml", Path.cwd().parent / "fields.yaml"]:
if p.exists():
fields_path = p
break
if not fields_path.exists():
print(f"[ERROR] fields.yaml不存在: {fields_path}")
sys.exit(1)
print(f"字段定义文件: {fields_path}")
all_fields, required_fields, field_categories = load_fields_yaml(fields_path)
print(f"总字段数: {len(all_fields)} (必需: {len(required_fields)}, 可选: {len(all_fields) - len(required_fields)})")
# 收集JSON文件
json_files = []
if args.json:
json_files = [Path(p) for p in args.json]
else:
json_dir = Path(args.dir)
if json_dir.exists():
json_files = sorted(json_dir.glob("*.json"))
if not json_files:
print(f"[WARN] 未找到JSON文件")
sys.exit(0)
# 验证每个文件
results = []
for json_path in json_files:
if not json_path.exists():
print(f"[WARN] 文件不存在: {json_path}")
continue
result = validate_json(json_path, all_fields, required_fields, field_categories)
results.append(result)
print_result(result, verbose=not args.quiet)
# 汇总
print(f"\n{'='*60}")
print("汇总")
print(f"{'='*60}")
passed = sum(1 for r in results if r["valid"])
avg_coverage = sum(r["coverage_rate"] for r in results) / len(results) if results else 0
print(f"验证通过: {passed}/{len(results)}")
print(f"平均覆盖率: {avg_coverage:.1f}%")
if passed < len(results):
sys.exit(1)
if __name__ == "__main__":
main()