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Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods
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Based on DDC methodology (Chapter 2.1), this skill classifies construction data by type, analyzes data sources, and recommends appropriate storage, processing, and integration methods.
Book Reference: "Типы данных в строительстве" / "Data Types in Construction"
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Any, Tuple
from datetime import datetime
import json
import re
import mimetypes
class DataStructure(Enum):
"""Data structure classification"""
STRUCTURED = "structured" # Tables, databases, spreadsheets
SEMI_STRUCTURED = "semi_structured" # JSON, XML, IFC
UNSTRUCTURED = "unstructured" # Documents, images, videos
GEOMETRIC = "geometric" # CAD, BIM geometry
TEMPORAL = "temporal" # Time-series, schedules
SPATIAL = "spatial" # GIS, coordinates
class DataFormat(Enum):
"""Common construction data formats"""
# Structured
CSV = "csv"
EXCEL = "excel"
SQL = "sql"
PARQUET = "parquet"
# Semi-structured
JSON = "json"
XML = "xml"
IFC = "ifc"
BCF = "bcf"
# Unstructured
PDF = "pdf"
DOCX = "docx"
IMAGE = "image"
VIDEO = "video"
# Geometric
DWG = "dwg"
DXF = "dxf"
RVT = "rvt"
NWD = "nwd"
OBJ = "obj"
STL = "stl"
# Schedule
MPP = "mpp"
P6 = "p6"
XER = "xer"
class StorageRecommendation(Enum):
"""Storage system recommendations"""
RELATIONAL_DB = "relational_database"
DOCUMENT_DB = "document_database"
OBJECT_STORAGE = "object_storage"
GRAPH_DB = "graph_database"
TIME_SERIES_DB = "time_series_database"
VECTOR_DB = "vector_database"
FILE_SYSTEM = "file_system"
DATA_LAKE = "data_lake"
@dataclass
class DataCharacteristics:
"""Characteristics of a data sour...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Data Type Classifier
## Overview
Based on DDC methodology (Chapter 2.1), this skill classifies construction data by type, analyzes data sources, and recommends appropriate storage, processing, and integration methods.
**Book Reference:** "Типы данных в строительстве" / "Data Types in Construction"
## Quick Start
```python
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Any, Tuple
from datetime import datetime
import json
import re
import mimetypes
class DataStructure(Enum):
"""Data structure classification"""
STRUCTURED = "structured" # Tables, databases, spreadsheets
SEMI_STRUCTURED = "semi_structured" # JSON, XML, IFC
UNSTRUCTURED = "unstructured" # Documents, images, videos
GEOMETRIC = "geometric" # CAD, BIM geometry
TEMPORAL = "temporal" # Time-series, schedules
SPATIAL = "spatial" # GIS, coordinates
class DataFormat(Enum):
"""Common construction data formats"""
# Structured
CSV = "csv"
EXCEL = "excel"
SQL = "sql"
PARQUET = "parquet"
# Semi-structured
JSON = "json"
XML = "xml"
IFC = "ifc"
BCF = "bcf"
# Unstructured
PDF = "pdf"
DOCX = "docx"
IMAGE = "image"
VIDEO = "video"
# Geometric
DWG = "dwg"
DXF = "dxf"
RVT = "rvt"
NWD = "nwd"
OBJ = "obj"
STL = "stl"
# Schedule
MPP = "mpp"
P6 = "p6"
XER = "xer"
class StorageRecommendation(Enum):
"""Storage system recommendations"""
RELATIONAL_DB = "relational_database"
DOCUMENT_DB = "document_database"
OBJECT_STORAGE = "object_storage"
GRAPH_DB = "graph_database"
TIME_SERIES_DB = "time_series_database"
VECTOR_DB = "vector_database"
FILE_SYSTEM = "file_system"
DATA_LAKE = "data_lake"
@dataclass
class DataCharacteristics:
"""Characteristics of a data sour...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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