sea-dsl 0.11.0

SEA DSL - Semantic Enterprise Architecture Domain Specific Language

SEA DSL

Python bindings for the SEA DSL (Semantic Enterprise Architecture) domain-specific language. Part of the DomainForge ecosystem.

Features

• 🏗️ Domain Primitives — Entities, Resources, Flows, Roles, Relations, Instances
• 📐 Unit System — First-class dimensional analysis with type-safe quantities
• ✅ Policy Engine — Constraint validation with three-valued logic
• 🔄 DSL Parsing — Parse SEA source code into queryable graph structures
• 🌐 CALM Integration — Export/import FINOS CALM architecture-as-code format
• ⚡ Native Performance — Rust-powered core via PyO3

Installation

pip install sea-dsl

Requires: Python 3.11+

Quick Start

Parse from DSL

import sea_dsl

source = '''
    @namespace "supply_chain"

    Entity "Warehouse" in logistics
    Entity "Factory" in manufacturing

    Resource "Cameras" units

    Flow "Cameras" from "Warehouse" to "Factory" quantity 100
'''

graph = sea_dsl.Graph.parse(source)

print(f"Entities: {graph.entity_count()}")
print(f"Resources: {graph.resource_count()}")
print(f"Flows: {graph.flow_count()}")

Build Programmatically

import sea_dsl

graph = sea_dsl.Graph()

# Create primitives
warehouse = sea_dsl.Entity("Warehouse", "logistics")
factory = sea_dsl.Entity("Factory", "manufacturing")
cameras = sea_dsl.Resource("Cameras", "units")

graph.add_entity(warehouse)
graph.add_entity(factory)
graph.add_resource(cameras)

# Create flow
flow = sea_dsl.Flow(
    cameras.id(),
    warehouse.id(),
    factory.id(),
    100.0
)
graph.add_flow(flow)

# Query the graph
for entity in graph.all_entities():
    print(f"{entity.name()} in {entity.namespace()}")

Work with Attributes

entity = sea_dsl.Entity("Warehouse")
entity.set_attribute("capacity", 10000)
entity.set_attribute("location", "New York")

print(entity.get_attribute("capacity"))   # 10000
print(entity.get_attribute("location"))   # "New York"

CALM Integration

# Export to CALM JSON
calm_json = graph.export_calm()

# Import from CALM
imported_graph = sea_dsl.Graph.import_calm(calm_json)

API Reference

Core Classes

Class	Description
Entity	Business actors, locations, organizational units (WHO)
Resource	Quantifiable subjects of value (WHAT)
Flow	Transfers of resources between entities
Instance	Entity type instances with named fields
ResourceInstance	Physical instances at entity locations
Role	Roles that entities can play
Relation	Relationships between roles
Graph	Container with validation and query capabilities

Graph Methods

# Add primitives
graph.add_entity(entity)
graph.add_resource(resource)
graph.add_flow(flow)
graph.add_instance(instance)
graph.add_role(role)
graph.add_relation(relation)

# Counts
graph.entity_count()
graph.resource_count()
graph.flow_count()

# Lookup
graph.find_entity_by_name("Warehouse")
graph.find_resource_by_name("Cameras")

# Flow queries
graph.flows_from(entity_id)
graph.flows_to(entity_id)

# Get all
graph.all_entities()
graph.all_resources()
graph.all_flows()

# Policy evaluation
graph.add_policy(policy)
graph.evaluate_policy(policy_json)
graph.set_evaluation_mode(use_three_valued=True)

# CALM integration
graph.export_calm()
Graph.import_calm(json_str)

NamespaceRegistry

# Load workspace registry
reg = sea_dsl.NamespaceRegistry.from_file('.sea-registry.toml')

# Resolve files
for binding in reg.resolve_files():
    print(f"{binding.path} => {binding.namespace}")

# Query namespace for file
ns = reg.namespace_for('/path/to/file.sea')

Development

Building from Source

# Clone the repository
git clone https://github.com/GodSpeedAI/DomainForge.git
cd DomainForge

# Install maturin
pip install maturin

# Build and install in development mode
maturin develop

# Run tests
pytest tests/

Using Just (Recommended)

just python-setup    # Create venv and install deps
just python-test     # Run test suite
just python-clean    # Remove venv

Platform Support

Pre-built wheels are available for:

Platform	Architectures
Linux	x86_64, aarch64
macOS	x86_64, arm64 (Apple Silicon)
Windows	x86_64

Build from source for other platforms.

Related Packages

Package	Registry	Description
sea-core	crates.io	Rust core library
sea-dsl	PyPI	Python bindings (this package)
@domainforge/sea	npm	TypeScript/Node.js bindings

Policy Authority

DomainForge includes a Policy Authority system for executable business authority:

from sea_dsl import AuthorityEnvironment, evaluate_authority

# Create and validate environment
env = AuthorityEnvironment(config_json)
env.validate()

# Evaluate a request
trace_json, decision_json = env.evaluate(request_json, facts_json)

# Or use the convenience function
trace, decision = evaluate_authority(config_json, request_json, facts_json)

Available types:

• FinalDecision — Allow, Deny, Escalate, NotApplicable, Reject
• PolicyModality — Permission, Prohibition, Obligation, Override
• SourceClass — CallerSupplied, RuntimeObserved, SystemOfRecord, Attested, ManualApproval, Derived, UnknownSource
• ClaimLevel — AuditBacked, Validated, FormallyProven
• AuthorityEnvironment — Full authority evaluation environment
• evaluate_authority() — One-shot evaluation function

Documentation

• 📖 SEA DSL Guide — Language specification
• 🏗️ Architecture — Design overview
• 📚 API Reference — Full Python API

License

Apache-2.0

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Part of the DomainForge project.