json-parser

# JSON Parser for Construction Data

## Overview
Construction systems increasingly use JSON for data exchange - from IoT sensors to BIM metadata exports. This skill handles parsing, validation, and flattening of JSON structures.

## Python Implementation

```python
import json
import pandas as pd
from typing import Dict, Any, List, Optional, Union
from dataclasses import dataclass
from pathlib import Path


@dataclass
class JSONParseResult:
    """Result of JSON parsing operation."""
    success: bool
    data: Any
    errors: List[str]
    record_count: int


class ConstructionJSONParser:
    """Parse JSON data from construction sources."""

    def __init__(self):
        self.errors: List[str] = []

    def parse_file(self, file_path: str) -> JSONParseResult:
        """Parse JSON from file."""
        try:
            with open(file_path, 'r', encoding='utf-8') as f:
                data = json.load(f)
            return JSONParseResult(True, data, [], self._count_records(data))
        except json.JSONDecodeError as e:
            return JSONParseResult(False, None, [f"JSON Error: {e}"], 0)
        except Exception as e:
            return JSONParseResult(False, None, [str(e)], 0)

    def parse_string(self, json_string: str) -> JSONParseResult:
        """Parse JSON from string."""
        try:
            data = json.loads(json_string)
            return JSONParseResult(True, data, [], self._count_records(data))
        except json.JSONDecodeError as e:
            return JSONParseResult(False, None, [f"JSON Error: {e}"], 0)

    def _count_records(self, data: Any) -> int:
        """Count records in data."""
        if isinstance(data, list):
            return len(data)
        elif isinstance(data, dict):
            return 1
        return 0

    def flatten_json(self, data: Dict, prefix: str = '') -> Dict[str, Any]:
        """Flatten nested JSON to single-level dict."""
        flat = {}...