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Data Model Designer

by @datadrivenconstruction

Design data models for construction projects. Create entity-relationship diagrams, define schemas, and generate database structures.

Versionv2.1.0
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TERMINAL
clawhub install data-model-designer

πŸ“– About This Skill


name: "data-model-designer" description: "Design data models for construction projects. Create entity-relationship diagrams, define schemas, and generate database structures." homepage: "https://datadrivenconstruction.io" metadata: {"openclaw": {"emoji": "πŸ“", "os": ["darwin", "linux", "win32"], "homepage": "https://datadrivenconstruction.io", "requires": {"bins": ["python3"]}}}

Data Model Designer

Business Case

Problem Statement

Construction data management challenges:
  • Fragmented data across systems
  • Inconsistent data structures
  • Missing relationships between entities
  • Difficult data integration
  • Solution

    Systematic data model design for construction projects, defining entities, relationships, and schemas for effective data management.

    Technical Implementation

    from typing import Dict, Any, List, Optional
    from dataclasses import dataclass, field
    from enum import Enum
    import json

    class DataType(Enum): STRING = "string" INTEGER = "integer" FLOAT = "float" BOOLEAN = "boolean" DATE = "date" DATETIME = "datetime" TEXT = "text" JSON = "json"

    class RelationType(Enum): ONE_TO_ONE = "1:1" ONE_TO_MANY = "1:N" MANY_TO_MANY = "N:M"

    class ConstraintType(Enum): PRIMARY_KEY = "primary_key" FOREIGN_KEY = "foreign_key" UNIQUE = "unique" NOT_NULL = "not_null"

    @dataclass class Field: name: str data_type: DataType nullable: bool = True default: Any = None description: str = "" constraints: List[ConstraintType] = field(default_factory=list)

    @dataclass class Entity: name: str description: str fields: List[Field] = field(default_factory=list) primary_key: str = "id"

    @dataclass class Relationship: name: str from_entity: str to_entity: str relation_type: RelationType from_field: str to_field: str

    class ConstructionDataModel: """Design data models for construction projects."""

    def __init__(self, project_name: str): self.project_name = project_name self.entities: Dict[str, Entity] = {} self.relationships: List[Relationship] = []

    def add_entity(self, entity: Entity): """Add entity to model.""" self.entities[entity.name] = entity

    def add_relationship(self, relationship: Relationship): """Add relationship between entities.""" self.relationships.append(relationship)

    def create_entity(self, name: str, description: str, fields: List[Dict[str, Any]]) -> Entity: """Create entity from field definitions."""

    entity_fields = [ Field( name=f['name'], data_type=DataType(f.get('type', 'string')), nullable=f.get('nullable', True), default=f.get('default'), description=f.get('description', ''), constraints=[ConstraintType(c) for c in f.get('constraints', [])] ) for f in fields ]

    entity = Entity(name=name, description=description, fields=entity_fields) self.add_entity(entity) return entity

    def create_relationship(self, from_entity: str, to_entity: str, relation_type: str = "1:N", from_field: str = None) -> Relationship: """Create relationship between entities."""

    rel = Relationship( name=f"{from_entity}_{to_entity}", from_entity=from_entity, to_entity=to_entity, relation_type=RelationType(relation_type), from_field=from_field or f"{to_entity.lower()}_id", to_field="id" ) self.add_relationship(rel) return rel

    def generate_sql_schema(self, dialect: str = "postgresql") -> str: """Generate SQL DDL statements."""

    sql = [] type_map = { DataType.STRING: "VARCHAR(255)", DataType.INTEGER: "INTEGER", DataType.FLOAT: "DECIMAL(15,2)", DataType.BOOLEAN: "BOOLEAN", DataType.DATE: "DATE", DataType.DATETIME: "TIMESTAMP", DataType.TEXT: "TEXT", DataType.JSON: "JSONB" if dialect == "postgresql" else "JSON" }

    for name, entity in self.entities.items(): columns = [] for fld in entity.fields: col = f" {fld.name} {type_map.get(fld.data_type, 'VARCHAR(255)')}" if not fld.nullable: col += " NOT NULL" if ConstraintType.PRIMARY_KEY in fld.constraints: col += " PRIMARY KEY" columns.append(col)

    sql.append(f"CREATE TABLE {name} (\n" + ",\n".join(columns) + "\n);")

    for rel in self.relationships: sql.append(f"""ALTER TABLE {rel.from_entity} ADD CONSTRAINT fk_{rel.name} FOREIGN KEY ({rel.from_field}) REFERENCES {rel.to_entity}({rel.to_field});""")

    return "\n\n".join(sql)

    def generate_json_schema(self) -> Dict[str, Any]: """Generate JSON Schema representation."""

    schemas = {} for name, entity in self.entities.items(): properties = {} required = []

    for fld in entity.fields: prop = {"description": fld.description} if fld.data_type == DataType.STRING: prop["type"] = "string" elif fld.data_type == DataType.INTEGER: prop["type"] = "integer" elif fld.data_type == DataType.FLOAT: prop["type"] = "number" elif fld.data_type == DataType.BOOLEAN: prop["type"] = "boolean" else: prop["type"] = "string"

    properties[fld.name] = prop if not fld.nullable: required.append(fld.name)

    schemas[name] = { "type": "object", "title": entity.description, "properties": properties, "required": required } return schemas

    def generate_er_diagram(self) -> str: """Generate Mermaid ER diagram."""

    lines = ["erDiagram"] for name, entity in self.entities.items(): for fld in entity.fields[:5]: lines.append(f" {name} {{") lines.append(f" {fld.data_type.value} {fld.name}") lines.append(" }")

    for rel in self.relationships: rel_symbol = { RelationType.ONE_TO_ONE: "||--||", RelationType.ONE_TO_MANY: "||--o{", RelationType.MANY_TO_MANY: "}o--o{" }.get(rel.relation_type, "||--o{") lines.append(f" {rel.from_entity} {rel_symbol} {rel.to_entity} : \"{rel.name}\"")

    return "\n".join(lines)

    def validate_model(self) -> List[str]: """Validate data model for issues."""

    issues = [] for rel in self.relationships: if rel.from_entity not in self.entities: issues.append(f"Missing entity: {rel.from_entity}") if rel.to_entity not in self.entities: issues.append(f"Missing entity: {rel.to_entity}")

    for name, entity in self.entities.items(): has_pk = any(ConstraintType.PRIMARY_KEY in f.constraints for f in entity.fields) if not has_pk: issues.append(f"Entity '{name}' has no primary key")

    return issues

    class ConstructionEntities: """Standard construction data entities."""

    @staticmethod def project_entity() -> Entity: return Entity( name="projects", description="Construction projects", fields=[ Field("id", DataType.INTEGER, False, constraints=[ConstraintType.PRIMARY_KEY]), Field("code", DataType.STRING, False, constraints=[ConstraintType.UNIQUE]), Field("name", DataType.STRING, False), Field("status", DataType.STRING), Field("start_date", DataType.DATE), Field("end_date", DataType.DATE), Field("budget", DataType.FLOAT) ] )

    @staticmethod def activity_entity() -> Entity: return Entity( name="activities", description="Schedule activities", fields=[ Field("id", DataType.INTEGER, False, constraints=[ConstraintType.PRIMARY_KEY]), Field("project_id", DataType.INTEGER, False), Field("wbs_code", DataType.STRING), Field("name", DataType.STRING, False), Field("start_date", DataType.DATE), Field("end_date", DataType.DATE), Field("percent_complete", DataType.FLOAT) ] )

    @staticmethod def cost_item_entity() -> Entity: return Entity( name="cost_items", description="Project cost items", fields=[ Field("id", DataType.INTEGER, False, constraints=[ConstraintType.PRIMARY_KEY]), Field("project_id", DataType.INTEGER, False), Field("wbs_code", DataType.STRING), Field("description", DataType.STRING), Field("budgeted_cost", DataType.FLOAT), Field("actual_cost", DataType.FLOAT) ] )

    Quick Start

    # Create model
    model = ConstructionDataModel("Office Building A")

    Add standard entities

    model.add_entity(ConstructionEntities.project_entity()) model.add_entity(ConstructionEntities.activity_entity()) model.add_entity(ConstructionEntities.cost_item_entity())

    Add relationships

    model.create_relationship("activities", "projects") model.create_relationship("cost_items", "projects")

    Generate SQL

    sql = model.generate_sql_schema("postgresql") print(sql)

    Common Use Cases

    1. Custom Entity

    model.create_entity(
        name="change_orders",
        description="Project change orders",
        fields=[
            {"name": "id", "type": "integer", "nullable": False, "constraints": ["primary_key"]},
            {"name": "project_id", "type": "integer", "nullable": False},
            {"name": "amount", "type": "float"},
            {"name": "status", "type": "string"}
        ]
    )
    

    2. Generate ER Diagram

    er_diagram = model.generate_er_diagram()
    print(er_diagram)
    

    3. Validate Model

    issues = model.validate_model()
    for issue in issues:
        print(f"Issue: {issue}")
    

    Resources

  • DDC Book: Chapter 2.5 - Data Models and Standards
  • Website: https://datadrivenconstruction.io
  • πŸ’‘ Examples

    # Create model
    model = ConstructionDataModel("Office Building A")

    Add standard entities

    model.add_entity(ConstructionEntities.project_entity()) model.add_entity(ConstructionEntities.activity_entity()) model.add_entity(ConstructionEntities.cost_item_entity())

    Add relationships

    model.create_relationship("activities", "projects") model.create_relationship("cost_items", "projects")

    Generate SQL

    sql = model.generate_sql_schema("postgresql") print(sql)