open-data-integrator

# Open Data Integrator

## Overview

Based on DDC methodology (Chapter 2.2), this skill integrates open construction datasets from various sources like government databases, industry benchmarks, weather services, and geospatial data.

**Book Reference:** "Доминирование открытых данных" / "Open Data Dominance"

## Quick Start

```python
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Any, Callable
from datetime import datetime, date
import json
import requests
from abc import ABC, abstractmethod

class DataSourceType(Enum):
    """Types of open data sources"""
    GOVERNMENT = "government"           # Government statistics
    INDUSTRY_BENCHMARK = "benchmark"    # Industry benchmarks
    WEATHER = "weather"                 # Weather data
    GEOSPATIAL = "geospatial"           # Geographic data
    MATERIAL_PRICES = "material_prices" # Material cost indices
    LABOR_RATES = "labor_rates"         # Labor cost data
    BUILDING_PERMITS = "permits"        # Permit data
    ENERGY = "energy"                   # Energy prices/data
    ECONOMIC = "economic"               # Economic indicators

class UpdateFrequency(Enum):
    """Data update frequency"""
    REALTIME = "realtime"
    HOURLY = "hourly"
    DAILY = "daily"
    WEEKLY = "weekly"
    MONTHLY = "monthly"
    QUARTERLY = "quarterly"
    ANNUAL = "annual"

@dataclass
class OpenDataSource:
    """Definition of an open data source"""
    id: str
    name: str
    source_type: DataSourceType
    url: str
    api_key_required: bool = False
    update_frequency: UpdateFrequency = UpdateFrequency.DAILY
    format: str = "json"
    license: str = "open"
    description: Optional[str] = None
    fields: List[str] = field(default_factory=list)

@dataclass
class DataRecord:
    """A single data record from a source"""
    source_id: str
    timestamp: datetime
    data: Dict[str, Any]
    metadata: Dict[str,...