feat: enhance UI, refactor services, improve templates and tests
- Replace image_extractor with pdf_image_extractor service - Enhance pi_client with expanded API capabilities - Improve summarizer service with additional features - Update admin routes with more endpoints - Add login page template - Enhance detail page with comprehensive layout - Improve search and trends pages - Update base template with additional elements - Refactor tests for better coverage - Add validate_summary script - Update project configuration and dependencies
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"""验证 summary JSON 是否符合 SummarySchema 要求。
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用法:python scripts/validate_summary.py <json_file>
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返回:exit 0 = 通过,exit 1 = 失败(错误信息输出到 stdout)
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"""
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import json
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import sys
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from pathlib import Path
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def validate(path: str) -> list[str]:
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errors: list[str] = []
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try:
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data = json.loads(Path(path).read_text(encoding="utf-8"))
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except json.JSONDecodeError as e:
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return [f"JSON 解析失败: {e}"]
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if not isinstance(data, dict):
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return ["顶层必须是 JSON 对象 (dict)"]
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# 必填字段
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required_top = ["arxiv_id", "title_zh", "one_line", "tags"]
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for f in required_top:
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if f not in data or not data[f]:
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errors.append(f"缺少必填字段: {f}")
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# tags 必须是非空数组
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tags = data.get("tags")
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if isinstance(tags, list) and len(tags) == 0:
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errors.append("tags 不能为空数组")
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if not isinstance(tags, list):
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errors.append("tags 必须是数组")
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# motivation 子字段
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motivation = data.get("motivation", {})
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if not isinstance(motivation, dict):
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errors.append("motivation 必须是对象")
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else:
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for f in ["problem", "goal", "gap"]:
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val = motivation.get(f, "")
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if not isinstance(val, str) or len(val.strip()) < 50:
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errors.append(f"motivation.{f} 必须是详细段落(≥50字),当前: {type(val).__name__} ({len(str(val))}字)")
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# method 子字段
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method = data.get("method", {})
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if not isinstance(method, dict):
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errors.append("method 必须是对象")
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else:
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for f in ["overview", "key_idea", "steps", "novelty"]:
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val = method.get(f, "")
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if not isinstance(val, str) or len(val.strip()) < 50:
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errors.append(f"method.{f} 必须是详细段落(≥50字),当前: {type(val).__name__} ({len(str(val))}字)")
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# results 子字段
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results = data.get("results", {})
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if not isinstance(results, dict):
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errors.append("results 必须是对象")
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else:
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for f in ["main_findings", "limitations"]:
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val = results.get(f, "")
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if not isinstance(val, str) or len(val.strip()) < 50:
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errors.append(f"results.{f} 必须是详细段落(≥50字),当前: {type(val).__name__} ({len(str(val))}字)")
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# benchmarks 可以是数组
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benchmarks = results.get("benchmarks")
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if benchmarks is not None and not isinstance(benchmarks, list):
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errors.append("results.benchmarks 必须是数组")
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# improvements 子字段
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improvements = data.get("improvements", {})
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if not isinstance(improvements, dict):
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errors.append("improvements 必须是对象")
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else:
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for f in ["weaknesses", "future_work", "reproducibility"]:
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val = improvements.get(f, "")
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if not isinstance(val, str) or len(val.strip()) < 50:
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errors.append(f"improvements.{f} 必须是详细段落(≥50字),当前: {type(val).__name__} ({len(str(val))}字)")
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# 检查是否有字段误用数组(应该用字符串的)
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string_fields = [
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("motivation", "problem"), ("motivation", "goal"), ("motivation", "gap"),
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("method", "overview"), ("method", "key_idea"), ("method", "steps"), ("method", "novelty"),
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("results", "main_findings"), ("results", "limitations"),
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("improvements", "weaknesses"), ("improvements", "future_work"), ("improvements", "reproducibility"),
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]
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for section, field in string_fields:
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val = data.get(section, {}).get(field)
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if isinstance(val, list):
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errors.append(f"{section}.{field} 应该是字符串段落,不能是数组")
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# figures 验证
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figures = data.get("figures")
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if figures is not None:
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if not isinstance(figures, list):
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errors.append("figures 必须是数组")
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else:
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for i, fig in enumerate(figures):
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if isinstance(fig, dict) and not fig.get("id"):
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errors.append(f"figures[{i}] 缺少 id 字段")
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return errors
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if __name__ == "__main__":
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if len(sys.argv) != 2:
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print("用法: python scripts/validate_summary.py <json_file>")
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sys.exit(1)
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errs = validate(sys.argv[1])
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if errs:
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print("❌ 验证失败:")
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for e in errs:
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print(f" - {e}")
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sys.exit(1)
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else:
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print("✅ 验证通过")
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sys.exit(0)
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