simplify validate_json
This commit is contained in:
jilinchen
@@ -1,17 +1,13 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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JSON Field Validation Script
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Validates whether JSON files completely cover all fields defined in fields.yaml
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"""
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import json
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import yaml
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import sys
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from collections import defaultdict
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from pathlib import Path
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from typing import Dict, Set, Tuple
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# Category mapping (English keys only)
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import yaml
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CATEGORY_MAPPING = {
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"basic_info": ["basic_info", "Basic Info"],
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"technical_features": ["technical_features", "technical_characteristics", "Technical Features"],
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@@ -23,108 +19,55 @@ CATEGORY_MAPPING = {
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"market_positioning": ["market_positioning", "market", "Market Positioning"],
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}
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_SKIP_KEYS = {"_source_file", "uncertain"}
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def load_fields_yaml(fields_path: Path) -> Tuple[Set[str], Set[str], Dict[str, str]]:
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"""
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Load fields.yaml and return:
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- all_fields: set of all field names
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- required_fields: set of field names where required=true
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- field_categories: mapping from field name to category
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"""
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with open(fields_path, 'r', encoding='utf-8') as f:
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def load_fields_yaml(fields_path):
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with fields_path.open(encoding="utf-8") as f:
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data = yaml.safe_load(f)
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all_fields = set()
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required_fields = set()
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field_categories = {}
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for category_info in data.get("field_categories", []):
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category_name = category_info["category"]
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for field in category_info.get("fields", []):
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field_name = field["name"]
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all_fields.add(field_name)
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field_categories[field_name] = category_name
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if field.get("required", False):
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required_fields.add(field_name)
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items = [
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(field["name"], category["category"], field.get("required", False))
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for category in data.get("field_categories", [])
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for field in category.get("fields", [])
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]
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all_fields = {name for name, _, _ in items}
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required_fields = {name for name, _, required in items if required}
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field_categories = {name: category for name, category, _ in items}
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return all_fields, required_fields, field_categories
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def extract_json_fields(data: Dict, category_mapping: Dict = None) -> Set[str]:
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"""
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Extract all field names from JSON (supports both flat and nested structures)
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Only extracts field names at category level, not nested dict/list values
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"""
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if category_mapping is None:
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category_mapping = CATEGORY_MAPPING
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# Get all possible nested keys (category containers)
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nested_keys = set()
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for keys in category_mapping.values():
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nested_keys.update(keys)
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def extract_json_fields(data, category_mapping=None):
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category_mapping = CATEGORY_MAPPING if category_mapping is None else category_mapping
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nested_keys = {k for keys in category_mapping.values() for k in keys}
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fields = set()
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def collect_fields(d, is_category_level: bool = True):
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"""
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Collect fields from dict or list structures
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is_category_level: True if we're at top level or inside a category container
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"""
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if isinstance(d, dict):
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for k, v in d.items():
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# Skip internal fields
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if k in {"_source_file", "uncertain"}:
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stack = [(data, True)]
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while stack:
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obj, is_category_level = stack.pop()
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if isinstance(obj, dict):
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for k, v in obj.items():
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if k in _SKIP_KEYS:
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continue
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# If it's a category container key, recurse into it
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if is_category_level and k in nested_keys:
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if isinstance(v, dict):
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collect_fields(v, is_category_level=True)
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else:
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# This is a field name, add it
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fields.add(k)
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# Don't recurse into field values (avoid counting nested keys as fields)
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elif isinstance(d, list):
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# Handle list-of-dict structures at category level
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for item in d:
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if isinstance(item, dict):
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collect_fields(item, is_category_level=is_category_level)
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collect_fields(data)
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stack.append((v, True))
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continue
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fields.add(k)
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elif isinstance(obj, list):
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stack.extend((item, is_category_level) for item in obj if isinstance(item, dict))
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return fields
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def validate_json(json_path: Path, all_fields: Set[str], required_fields: Set[str],
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field_categories: Dict[str, str]) -> Dict:
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"""
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Validate a single JSON file
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Returns validation result dictionary
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"""
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with open(json_path, 'r', encoding='utf-8') as f:
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def validate_json(json_path, all_fields, required_fields, field_categories):
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with json_path.open(encoding="utf-8") as f:
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data = json.load(f)
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json_fields = extract_json_fields(data)
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# Calculate coverage
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covered = all_fields & json_fields
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missing = all_fields - json_fields
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extra = json_fields - all_fields
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# Categorize missing fields
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missing_required = missing & required_fields
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missing_optional = missing - required_fields
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# Group missing fields by category
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missing_by_category = {}
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missing_by_category = defaultdict(list)
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for field in missing:
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cat = field_categories.get(field, "Unknown")
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if cat not in missing_by_category:
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missing_by_category[cat] = []
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missing_by_category[cat].append(field)
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# Sort lists within categories for deterministic output
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for cat in missing_by_category:
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missing_by_category[cat].sort()
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missing_by_category[field_categories.get(field, "Unknown")].append(field)
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return {
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"file": json_path.name,
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"total_defined": len(all_fields),
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@@ -133,43 +76,39 @@ def validate_json(json_path: Path, all_fields: Set[str], required_fields: Set[st
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"extra": len(extra),
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"coverage_rate": len(covered) / len(all_fields) * 100 if all_fields else 100,
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"missing_required": sorted(missing_required),
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"missing_optional": sorted(missing_optional),
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"missing_by_category": missing_by_category,
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"missing_optional": sorted(missing - required_fields),
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"missing_by_category": {k: sorted(v) for k, v in missing_by_category.items()},
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"extra_fields": sorted(extra),
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"valid": len(missing_required) == 0, # Valid if all required fields are covered
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"valid": len(missing_required) == 0,
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}
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def print_result(result: Dict, verbose: bool = True):
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"""Print validation result"""
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def print_result(result, verbose=True):
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status = "PASS" if result["valid"] else "FAIL"
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print(f"\n{'='*60}")
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line = "=" * 60
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print(f"\n{line}")
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print(f"[{status}] {result['file']}")
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print(f"{'='*60}")
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print(line)
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print(f"Coverage: {result['coverage_rate']:.1f}% ({result['covered']}/{result['total_defined']})")
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if result["missing_required"]:
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print(f"\n[ERROR] Missing required fields ({len(result['missing_required'])}):")
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for field in result["missing_required"]:
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print(f" - {field}")
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print("\n".join(f" - {f}" for f in result["missing_required"]))
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if verbose and result["missing_optional"]:
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missing_required = set(result["missing_required"])
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print(f"\n[WARN] Missing optional fields ({len(result['missing_optional'])}):")
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for cat in sorted(result["missing_by_category"].keys()):
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fields = result["missing_by_category"][cat]
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optional_fields = [f for f in fields if f not in result["missing_required"]]
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if optional_fields:
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print(f" [{cat}]: {', '.join(optional_fields)}")
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for cat in sorted(result["missing_by_category"]):
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optional = [f for f in result["missing_by_category"][cat] if f not in missing_required]
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if optional:
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print(f" [{cat}]: {', '.join(optional)}")
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if verbose and result["extra_fields"]:
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print(f"\n[INFO] Extra fields ({len(result['extra_fields'])}):")
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print(f" {', '.join(result['extra_fields'][:10])}")
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if len(result["extra_fields"]) > 10:
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print(f" ... and {len(result['extra_fields']) - 10} more")
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extra = result["extra_fields"]
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print(f"\n[INFO] Extra fields ({len(extra)}):")
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print(f" {', '.join(extra[:10])}")
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if len(extra) > 10:
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print(f" ... and {len(extra) - 10} more")
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def main():
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"""Main function"""
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import argparse
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parser = argparse.ArgumentParser(description="Validate whether JSON files cover all fields defined in fields.yaml")
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parser.add_argument("--fields", "-f", type=str, help="Path to fields.yaml", default="fields.yaml")
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@@ -177,38 +116,26 @@ def main():
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parser.add_argument("--dir", "-d", type=str, help="Directory containing JSON files", default="results")
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parser.add_argument("--quiet", "-q", action="store_true", help="Show summary only")
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args = parser.parse_args()
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# Locate fields.yaml
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fields_path = Path(args.fields)
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if not fields_path.exists():
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# Try to find in current and parent directory
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for p in [Path.cwd() / "fields.yaml", Path.cwd().parent / "fields.yaml"]:
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for p in (Path.cwd() / "fields.yaml", Path.cwd().parent / "fields.yaml"):
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if p.exists():
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fields_path = p
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break
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if not fields_path.exists():
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print(f"[ERROR] fields.yaml not found: {fields_path}")
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sys.exit(1)
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print(f"Field definition file: {fields_path}")
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all_fields, required_fields, field_categories = load_fields_yaml(fields_path)
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print(f"Total fields: {len(all_fields)} (required: {len(required_fields)}, optional: {len(all_fields) - len(required_fields)})")
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# Collect JSON files
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json_files = []
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if args.json:
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json_files = [Path(p) for p in args.json]
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else:
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json_dir = Path(args.dir)
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if json_dir.exists():
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json_files = sorted(json_dir.glob("*.json"))
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json_files = (
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[Path(p) for p in args.json]
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if args.json
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else sorted(Path(args.dir).glob("*.json")) if Path(args.dir).exists() else []
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)
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if not json_files:
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print(f"[WARN] No JSON files found")
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print("[WARN] No JSON files found")
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sys.exit(0)
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# Validate each file
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results = []
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for json_path in json_files:
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if not json_path.exists():
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@@ -217,16 +144,14 @@ def main():
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result = validate_json(json_path, all_fields, required_fields, field_categories)
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results.append(result)
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print_result(result, verbose=not args.quiet)
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# Summary
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print(f"\n{'='*60}")
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line = "=" * 60
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print(f"\n{line}")
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print("Summary")
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print(f"{'='*60}")
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print(line)
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passed = sum(1 for r in results if r["valid"])
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avg_coverage = sum(r["coverage_rate"] for r in results) / len(results) if results else 0
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print(f"Validation passed: {passed}/{len(results)}")
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print(f"Average coverage: {avg_coverage:.1f}%")
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if passed < len(results):
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sys.exit(1)
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@@ -1,17 +1,13 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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JSON字段验证脚本
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验证JSON文件是否完整覆盖fields.yaml中定义的所有字段
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"""
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import json
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import yaml
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import sys
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from collections import defaultdict
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from pathlib import Path
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from typing import Dict, Set, Tuple
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# Category中英文映射
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import yaml
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CATEGORY_MAPPING = {
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"基本信息": ["basic_info", "基本信息"],
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"技术特性": ["technical_features", "technical_characteristics", "技术特性"],
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@@ -23,108 +19,55 @@ CATEGORY_MAPPING = {
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"市场定位": ["market_positioning", "market", "市场定位"],
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}
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_SKIP_KEYS = {"_source_file", "uncertain"}
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def load_fields_yaml(fields_path: Path) -> Tuple[Set[str], Set[str], Dict[str, str]]:
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"""
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加载fields.yaml，返回：
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- all_fields: 所有字段名集合
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- required_fields: required=true的字段名集合
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- field_categories: 字段名到类别的映射
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"""
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with open(fields_path, 'r', encoding='utf-8') as f:
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def load_fields_yaml(fields_path):
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with fields_path.open(encoding="utf-8") as f:
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data = yaml.safe_load(f)
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all_fields = set()
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required_fields = set()
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field_categories = {}
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for category_info in data.get("field_categories", []):
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category_name = category_info["category"]
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for field in category_info.get("fields", []):
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field_name = field["name"]
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all_fields.add(field_name)
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field_categories[field_name] = category_name
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if field.get("required", False):
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required_fields.add(field_name)
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items = [
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(field["name"], category["category"], field.get("required", False))
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for category in data.get("field_categories", [])
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for field in category.get("fields", [])
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]
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all_fields = {name for name, _, _ in items}
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required_fields = {name for name, _, required in items if required}
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field_categories = {name: category for name, category, _ in items}
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return all_fields, required_fields, field_categories
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def extract_json_fields(data: Dict, category_mapping: Dict = None) -> Set[str]:
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"""
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从JSON中提取所有字段名（支持扁平和嵌套结构）
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只提取category级别的字段名，不递归到字段值的dict/list中
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"""
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if category_mapping is None:
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category_mapping = CATEGORY_MAPPING
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# 获取所有可能的嵌套key（category容器）
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nested_keys = set()
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for keys in category_mapping.values():
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nested_keys.update(keys)
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def extract_json_fields(data, category_mapping=None):
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category_mapping = CATEGORY_MAPPING if category_mapping is None else category_mapping
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nested_keys = {k for keys in category_mapping.values() for k in keys}
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fields = set()
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def collect_fields(d, is_category_level: bool = True):
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"""
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从dict或list结构中收集字段
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is_category_level: True表示在顶层或category容器内部
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"""
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if isinstance(d, dict):
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for k, v in d.items():
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# 跳过内部字段
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if k in {"_source_file", "uncertain"}:
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stack = [(data, True)]
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while stack:
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obj, is_category_level = stack.pop()
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if isinstance(obj, dict):
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for k, v in obj.items():
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if k in _SKIP_KEYS:
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continue
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# 如果是category容器key，递归进入
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if is_category_level and k in nested_keys:
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if isinstance(v, dict):
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collect_fields(v, is_category_level=True)
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else:
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# 这是一个字段名，添加它
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fields.add(k)
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# 不递归到字段值中（避免将嵌套key误计为字段）
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elif isinstance(d, list):
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# 处理category级别的list-of-dict结构
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for item in d:
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if isinstance(item, dict):
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collect_fields(item, is_category_level=is_category_level)
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collect_fields(data)
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stack.append((v, True))
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continue
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fields.add(k)
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elif isinstance(obj, list):
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stack.extend((item, is_category_level) for item in obj if isinstance(item, dict))
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return fields
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def validate_json(json_path: Path, all_fields: Set[str], required_fields: Set[str],
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field_categories: Dict[str, str]) -> Dict:
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"""
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验证单个JSON文件
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返回验证结果字典
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"""
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with open(json_path, 'r', encoding='utf-8') as f:
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def validate_json(json_path, all_fields, required_fields, field_categories):
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with json_path.open(encoding="utf-8") as f:
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data = json.load(f)
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json_fields = extract_json_fields(data)
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# 计算覆盖情况
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covered = all_fields & json_fields
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missing = all_fields - json_fields
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extra = json_fields - all_fields
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# 分类缺失字段
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missing_required = missing & required_fields
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missing_optional = missing - required_fields
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# 按类别分组缺失字段
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missing_by_category = {}
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missing_by_category = defaultdict(list)
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for field in missing:
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cat = field_categories.get(field, "未知")
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if cat not in missing_by_category:
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missing_by_category[cat] = []
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missing_by_category[cat].append(field)
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# 对category内的列表排序，确保输出确定性
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for cat in missing_by_category:
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missing_by_category[cat].sort()
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missing_by_category[field_categories.get(field, "未知")].append(field)
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return {
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"file": json_path.name,
|
||||
"total_defined": len(all_fields),
|
||||
@@ -133,100 +76,82 @@ def validate_json(json_path: Path, all_fields: Set[str], required_fields: Set[st
|
||||
"extra": len(extra),
|
||||
"coverage_rate": len(covered) / len(all_fields) * 100 if all_fields else 100,
|
||||
"missing_required": sorted(missing_required),
|
||||
"missing_optional": sorted(missing_optional),
|
||||
"missing_by_category": missing_by_category,
|
||||
"missing_optional": sorted(missing - required_fields),
|
||||
"missing_by_category": {k: sorted(v) for k, v in missing_by_category.items()},
|
||||
"extra_fields": sorted(extra),
|
||||
"valid": len(missing_required) == 0, # required字段全覆盖则valid
|
||||
"valid": len(missing_required) == 0,
|
||||
}
|
||||
|
||||
|
||||
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}")
|
||||
def print_result(result, verbose=True):
|
||||
status = "通过" if result["valid"] else "失败"
|
||||
line = "=" * 60
|
||||
print(f"\n{line}")
|
||||
print(f"[{status}] {result['file']}")
|
||||
print(f"{'='*60}")
|
||||
print(line)
|
||||
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}")
|
||||
|
||||
print(f"\n[错误] 缺少必填字段 ({len(result['missing_required'])}):")
|
||||
print("\n".join(f" - {f}" for f in result["missing_required"]))
|
||||
if verbose and result["missing_optional"]:
|
||||
print(f"\n[WARN] 缺失可选字段 ({len(result['missing_optional'])}):")
|
||||
for cat in sorted(result["missing_by_category"].keys()):
|
||||
fields = result["missing_by_category"][cat]
|
||||
optional_fields = [f for f in fields if f not in result["missing_required"]]
|
||||
if optional_fields:
|
||||
print(f" [{cat}]: {', '.join(optional_fields)}")
|
||||
|
||||
missing_required = set(result["missing_required"])
|
||||
print(f"\n[警告] 缺少可选字段 ({len(result['missing_optional'])}):")
|
||||
for cat in sorted(result["missing_by_category"]):
|
||||
optional = [f for f in result["missing_by_category"][cat] if f not in missing_required]
|
||||
if optional:
|
||||
print(f" [{cat}]: {', '.join(optional)}")
|
||||
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")
|
||||
extra = result["extra_fields"]
|
||||
print(f"\n[信息] 额外字段 ({len(extra)}):")
|
||||
print(f" {', '.join(extra[:10])}")
|
||||
if len(extra) > 10:
|
||||
print(f" ... 还有 {len(extra) - 10} 个")
|
||||
|
||||
|
||||
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 = argparse.ArgumentParser(description="验证JSON文件是否覆盖fields.yaml中定义的所有字段")
|
||||
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")
|
||||
parser.add_argument("--dir", "-d", type=str, help="包含JSON文件的目录", default="results")
|
||||
parser.add_argument("--quiet", "-q", action="store_true", help="仅显示摘要")
|
||||
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"]:
|
||||
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}")
|
||||
print(f"[错误] 找不到fields.yaml: {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"))
|
||||
|
||||
print(f"总字段数: {len(all_fields)} (必填: {len(required_fields)}, 可选: {len(all_fields) - len(required_fields)})")
|
||||
json_files = (
|
||||
[Path(p) for p in args.json]
|
||||
if args.json
|
||||
else sorted(Path(args.dir).glob("*.json")) if Path(args.dir).exists() else []
|
||||
)
|
||||
if not json_files:
|
||||
print(f"[WARN] 未找到JSON文件")
|
||||
print("[警告] 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}")
|
||||
print(f"[警告] 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}")
|
||||
line = "=" * 60
|
||||
print(f"\n{line}")
|
||||
print("汇总")
|
||||
print(f"{'='*60}")
|
||||
print(line)
|
||||
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)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user