QuantsMind SDK Foundation Package Specification¶

Version: R0.2.0 – Foundation SDK Architecture¶

Table of Contents¶

Foundation Package Tree
Module Descriptions
Class Specifications
Interface Specifications
Method Contracts
Exception Hierarchy
Event Hierarchy
Validation Strategy
Serialization Strategy
UML Descriptions
Testing Strategy
Documentation Structure
Future Roadmap

1. Foundation Package Tree¶

foundation/
├── __init__.py
├── entity.py
├── system.py
├── state.py
├── interaction.py
├── identity.py
├── property.py
├── attribute.py
├── behaviour.py
├── relationship.py
├── constraint.py
├── lifecycle.py
├── event.py
├── observation.py
├── knowledge.py
├── transformation.py
├── space.py
├── time.py
├── interfaces.py
├── protocols.py
├── enums.py
├── validators.py
├── serializers.py
├── factories.py
├── exceptions.py
├── constants.py
└── types.py

2. Module Descriptions¶

2.1 entity.py¶

Purpose: Define the fundamental atomic unit of the QuantsMind ontology.

Scientific Meaning: Represents any discrete object, concept, or phenomenon in a scientific system (particle, atom, molecule, cell, star, financial instrument, quantum state, etc.).

Responsibilities: - Define the Entity contract - Manage identity, properties, state, and behavior - Handle entity lifecycle - Support entity relationships - Enable entity observation and serialization

Dependencies: - identity.py (Identity) - property.py (Property) - attribute.py (Attribute) - state.py (State) - behaviour.py (Behaviour) - relationship.py (Relationship) - constraint.py (Constraint) - lifecycle.py (Lifecycle) - interfaces.py (Observable, Serializable, Validatable, Identifiable) - exceptions.py (EntityError)

Future Extensions: - Entity versioning and migration - Entity cloning and templating - Entity composition patterns - Distributed entity synchronization

2.2 system.py¶

Purpose: Define a collection of entities that form a coherent whole.

Scientific Meaning: Represents a bounded scientific system (quantum circuit, physical system, chemical reaction, biological organism, financial market, etc.).

Responsibilities: - Define the System contract - Manage entity collections - Handle system-level constraints - Support system observation - Enable system serialization

Dependencies: - entity.py (Entity) - state.py (State) - constraint.py (Constraint) - interfaces.py (Observable, Serializable) - exceptions.py (SystemError)

Future Extensions: - Hierarchical system composition - System boundary management - System-level optimization - Distributed system coordination

2.3 state.py¶

Purpose: Define the state representation of entities and systems.

Scientific Meaning: Represents the complete condition of an entity or system at a point in time (quantum state, physical state, chemical state, etc.).

Responsibilities: - Define the State contract - Manage state transitions - Support state comparison - Enable state serialization - Handle state history

Dependencies: - interfaces.py (Serializable, Comparable, Cloneable) - exceptions.py (StateError)

Future Extensions: - State compression and approximation - State differential representation - State versioning - Distributed state consistency

2.4 interaction.py¶

Purpose: Define how entities affect each other.

Scientific Meaning: Represents any process where entities influence each other (quantum gates, forces, chemical reactions, biological interactions, market transactions, etc.).

Responsibilities: - Define the Interaction contract - Manage interaction participants - Handle interaction execution - Support interaction observation - Enable interaction serialization

Dependencies: - entity.py (Entity) - state.py (State) - event.py (Event) - interfaces.py (Observable, Serializable) - exceptions.py (InteractionError)

Future Extensions: - Interaction composition - Interaction scheduling - Interaction optimization - Distributed interaction coordination

2.5 identity.py¶

Purpose: Define unique identification for entities.

Scientific Meaning: Represents the unique identity of an entity across space and time.

Responsibilities: - Define the Identity contract - Generate unique identifiers - Support identity comparison - Enable identity serialization - Handle identity validation

Dependencies: - interfaces.py (Serializable, Comparable) - exceptions.py (IdentityError)

Future Extensions: - Identity namespaces and scopes - Identity migration and remapping - Distributed identity resolution - Identity cryptography

2.6 property.py¶

Purpose: Define named characteristics of entities.

Scientific Meaning: Represents qualitative or quantitative characteristics (mass, charge, spin, position, momentum, etc.).

Responsibilities: - Define the Property contract - Manage property metadata - Support property validation - Enable property serialization - Handle property inheritance

Dependencies: - attribute.py (Attribute) - interfaces.py (Serializable, Validatable) - exceptions.py (PropertyError)

Future Extensions: - Property composition - Property derivation - Property caching - Property optimization

2.7 attribute.py¶

Purpose: Define typed values for properties.

Scientific Meaning: Represents concrete values with types (scalar, vector, tensor, complex, etc.).

Responsibilities: - Define the Attribute contract - Manage attribute typing - Support attribute validation - Enable attribute serialization - Handle attribute conversion

Dependencies: - types.py (Type system) - interfaces.py (Serializable, Validatable, Comparable) - exceptions.py (AttributeError)

Future Extensions: - Attribute units and dimensions - Attribute precision control - Attribute lazy evaluation - Attribute streaming

2.8 behaviour.py¶

Purpose: Define actions and responses of entities.

Scientific Meaning: Represents what an entity can do or how it responds to stimuli (movement, reaction, computation, decision, etc.).

Responsibilities: - Define the Behaviour contract - Manage behaviour execution - Support behaviour composition - Enable behaviour serialization - Handle behaviour scheduling

Dependencies: - entity.py (Entity) - state.py (State) - interfaces.py (Serializable, Observable) - exceptions.py (BehaviourError)

Future Extensions: - Behaviour composition patterns - Behavior optimization - Behavior learning - Distributed behavior coordination

2.9 relationship.py¶

Purpose: Define connections between entities.

Scientific Meaning: Represents structural or functional connections (bonds, forces, dependencies, associations, etc.).

Responsibilities: - Define the Relationship contract - Manage relationship endpoints - Support relationship types - Enable relationship serialization - Handle relationship validation

Dependencies: - entity.py (Entity) - enums.py (RelationshipType) - interfaces.py (Serializable, Validatable) - exceptions.py (RelationshipError)

Future Extensions: - Relationship composition - Relationship inference - Relationship optimization - Distributed relationship management

2.10 constraint.py¶

Purpose: Define rules and limitations for entities and systems.

Scientific Meaning: Represents physical laws, conservation rules, business rules, etc.

Responsibilities: - Define the Constraint contract - Manage constraint evaluation - Support constraint composition - Enable constraint serialization - Handle constraint violation handling

Dependencies: - entity.py (Entity) - state.py (State) - interfaces.py (Serializable, Validatable) - exceptions.py (ConstraintError)

Future Extensions: - Constraint optimization - Constraint learning - Constraint relaxation - Distributed constraint satisfaction

2.11 lifecycle.py¶

Purpose: Define the lifecycle stages of entities.

Scientific Meaning: Represents creation, evolution, and destruction processes.

Responsibilities: - Define the Lifecycle contract - Manage lifecycle stages - Support lifecycle transitions - Enable lifecycle observation - Handle lifecycle validation

Dependencies: - enums.py (LifecycleStage) - event.py (Event) - interfaces.py (Observable, Serializable) - exceptions.py (LifecycleError)

Future Extensions: - Lifecycle composition - Lifecycle optimization - Lifecycle persistence - Distributed lifecycle coordination

2.12 event.py¶

Purpose: Define discrete occurrences in the system.

Scientific Meaning: Represents instantaneous changes or observations (state changes, interactions, measurements, etc.).

Responsibilities: - Define the Event contract - Manage event metadata - Support event ordering - Enable event serialization - Handle event distribution

Dependencies: - time.py (Time) - interfaces.py (Serializable, Timestamped) - exceptions.py (EventError)

Future Extensions: - Event composition - Event filtering - Event aggregation - Distributed event streaming

2.13 observation.py¶

Purpose: Define the capture of entity/system evolution.

Scientific Meaning: Represents the process of measuring or recording system state.

Responsibilities: - Define the Observation contract - Manage observation metadata - Support observation validation - Enable observation serialization - Handle observation storage

Dependencies: - entity.py (Entity) - state.py (State) - time.py (Time) - interfaces.py (Serializable, Timestamped, Validatable) - exceptions.py (ObservationError)

Future Extensions: - Observation composition - Observation compression - Observation privacy - Distributed observation collection

2.14 knowledge.py¶

Purpose: Define derived information from observations.

Scientific Meaning: Represents learned patterns, models, or insights from data.

Responsibilities: - Define the Knowledge contract - Manage knowledge derivation - Support knowledge validation - Enable knowledge serialization - Handle knowledge application

Dependencies: - observation.py (Observation) - interfaces.py (Serializable, Validatable) - exceptions.py (KnowledgeError)

Future Extensions: - Knowledge composition - Knowledge refinement - Knowledge transfer - Distributed knowledge sharing

2.15 transformation.py¶

Purpose: Define state changes and conversions.

Scientific Meaning: Represents any process that changes state (operations, computations, evolutions, etc.).

Responsibilities: - Define the Transformation contract - Manage transformation execution - Support transformation composition - Enable transformation serialization - Handle transformation validation

Dependencies: - state.py (State) - interfaces.py (Serializable, Validatable) - exceptions.py (TransformationError)

Future Extensions: - Transformation optimization - Transformation parallelization - Transformation caching - Distributed transformation execution

2.16 space.py¶

Purpose: Define spatial context for entities and systems.

Scientific Meaning: Represents geometric or topological space (Euclidean, Hilbert, configuration space, etc.).

Responsibilities: - Define the Space contract - Manage spatial coordinates - Support spatial operations - Enable space serialization - Handle space validation

Dependencies: - interfaces.py (Serializable, Validatable) - exceptions.py (SpaceError)

Future Extensions: - Space composition - Space approximation - Space discretization - Distributed space partitioning

2.17 time.py¶

Purpose: Define temporal context for entities and systems.

Scientific Meaning: Represents temporal progression (continuous, discrete, relativistic, etc.).

Responsibilities: - Define the Time contract - Manage temporal coordinates - Support temporal operations - Enable time serialization - Handle time validation

Dependencies: - interfaces.py (Serializable, Comparable) - exceptions.py (TimeError)

Future Extensions: - Time composition - Time approximation - Time discretization - Distributed time synchronization

2.18 interfaces.py¶

Purpose: Define reusable abstract interfaces.

Scientific Meaning: Provides contracts for common behaviors across the SDK.

Responsibilities: - Define core interfaces - Enable interface composition - Support interface validation - Enable interface documentation

Dependencies: - exceptions.py (InterfaceError)

Future Extensions: - Interface versioning - Interface composition patterns - Interface optimization

2.19 protocols.py¶

Purpose: Define structural typing protocols (Python-specific).

Scientific Meaning: Provides duck-typing contracts for flexible implementation.

Responsibilities: - Define core protocols - Enable protocol composition - Support protocol validation - Enable protocol documentation

Dependencies: - interfaces.py (base interfaces)

Future Extensions: - Protocol composition patterns - Protocol optimization

2.20 enums.py¶

Purpose: Define enumeration types for the foundation package.

Scientific Meaning: Provides type-safe constants for common concepts.

Responsibilities: - Define core enumerations - Enable enum serialization - Support enum validation

Dependencies: - None

Future Extensions: - Enum composition - Enum localization

2.21 validators.py¶

Purpose: Define validation logic for foundation objects.

Scientific Meaning: Ensures data integrity and consistency.

Responsibilities: - Define validation contracts - Implement validation rules - Support validation composition - Enable validation reporting

Dependencies: - interfaces.py (Validatable) - exceptions.py (ValidationError)

Future Extensions: - Validation optimization - Validation learning - Distributed validation

2.22 serializers.py¶

Purpose: Define serialization logic for foundation objects.

Scientific Meaning: Enables data persistence and interchange.

Responsibilities: - Define serialization contracts - Implement format serializers - Support serialization composition - Enable serialization validation

Dependencies: - interfaces.py (Serializable) - exceptions.py (SerializationError)

Future Extensions: - Serialization optimization - Serialization compression - Streaming serialization - Distributed serialization

2.23 factories.py¶

Purpose: Define object creation patterns.

Scientific Meaning: Provides flexible object instantiation.

Responsibilities: - Define factory contracts - Implement factory methods - Support factory composition - Enable factory validation

Dependencies: - All foundation modules

Future Extensions: - Factory optimization - Factory caching - Distributed factory coordination

2.24 exceptions.py¶

Purpose: Define exception hierarchy for foundation package.

Scientific Meaning: Provides structured error handling.

Responsibilities: - Define exception hierarchy - Enable exception composition - Support exception serialization - Enable exception documentation

Dependencies: - quantsmind.exceptions (base exceptions)

Future Extensions: - Exception composition patterns - Exception localization

2.25 constants.py¶

Purpose: Define constants for foundation package.

Scientific Meaning: Provides immutable values for common concepts.

Responsibilities: - Define core constants - Enable constant validation - Support constant documentation

Dependencies: - None

Future Extensions: - Constant composition - Constant localization

2.26 types.py¶

Purpose: Define type system for foundation package.

Scientific Meaning: Provides type safety and documentation.

Responsibilities: - Define core types - Enable type validation - Support type composition - Enable type documentation

Dependencies: - None

Future Extensions: - Type composition patterns - Type optimization

3. Class Specifications¶

3.1 Entity Class¶

General¶

Class Name: Entity

Description: The fundamental atomic unit of the QuantsMind ontology. Represents any discrete object, concept, or phenomenon in a scientific system.

Design Rationale: Entity is the core abstraction that all domain packages specialize. It provides a unified model for particles, atoms, molecules, cells, stars, financial instruments, quantum states, and any other scientific concept.

Scientific Meaning: In physics, an entity could be a particle; in chemistry, a molecule; in biology, a cell; in finance, a security. The Entity abstraction unifies these concepts.

SDK Purpose: Provides the base contract that all domain-specific entities must implement, ensuring cross-domain compatibility.

Relationships¶

Parent Class: ABC (Abstract Base Class)

Child Classes: - QuantumEntity (quantum package) - PhysicalEntity (physics package) - ChemicalEntity (chemistry package) - BiologicalEntity (biology package) - AstronomicalEntity (astronomy package) - FinancialEntity (finance package) - AIEntity (ai package)

Interfaces Implemented: - Identifiable - Observable - Serializable - Validatable - Cloneable - Timestamped

Collaborating Classes: - Identity (unique identification) - Property (named characteristics) - Attribute (typed values) - State (current condition) - Behaviour (actions and responses) - Relationship (connections to other entities) - Constraint (rules and limitations) - Lifecycle (creation, evolution, destruction) - Event (discrete occurrences)

Attributes¶

id: UUID - Unique identifier for the entity - Immutable after creation - Used for equality comparison

uuid: str - String representation of the UUID - Immutable after creation - Used for serialization

name: str - Human-readable name - Mutable - Used for display and logging

label: str - Short label for UI display - Mutable - Used for compact representation

type: str - Entity type identifier - Immutable after creation - Used for type checking and routing

metadata: dict[str, Any] - Arbitrary metadata - Mutable - Used for extensibility

properties: dict[str, Property] - Named properties - Mutable - Used for entity characteristics

state: State - Current state - Mutable - Used for entity condition

history: list[State] - Historical states - Append-only - Used for state evolution tracking

relationships: dict[str, list[Relationship]] - Entity relationships - Mutable - Used for entity connections

constraints: list[Constraint] - Entity constraints - Mutable - Used for entity rules

tags: set[str] - Entity tags - Mutable - Used for categorization

version: int - Entity version - Incremental - Used for optimistic concurrency

created_at: datetime - Creation timestamp - Immutable - Used for auditing

updated_at: datetime - Last update timestamp - Auto-updated - Used for auditing

Properties¶

Python Properties: - age: timedelta (computed from created_at) - is_active: bool (based on lifecycle state) - state_count: int (length of history)

Behaviors¶

Conceptual Behaviors: - create(): Initialize a new entity - initialize(): Set up entity with initial state - activate(): Mark entity as active - deactivate(): Mark entity as inactive - suspend(): Temporarily pause entity - destroy(): Clean up entity resources - clone(): Create a copy of the entity - observe(): Capture current entity state - snapshot(): Create a point-in-time copy - restore(): Restore entity from snapshot - validate(): Verify entity integrity - compare(): Compare entities - serialize(): Convert to serializable format - deserialize(): Load from serializable format - update_state(): Change entity state - interact(): Participate in interaction - add_property(): Add a property - remove_property(): Remove a property - add_relationship(): Add a relationship - remove_relationship(): Remove a relationship - add_constraint(): Add a constraint - remove_constraint(): Remove a constraint - emit_event(): Emit an event

Methods¶

create()¶

Method Name: create

Signature:

@classmethod
def create(
    cls,
    name: str,
    entity_type: str,
    initial_state: State | None = None,
    properties: dict[str, Property] | None = None,
    metadata: dict[str, Any] | None = None
) -> Entity

Input Parameters: - name: Human-readable name - entity_type: Type identifier - initial_state: Optional initial state - properties: Optional initial properties - metadata: Optional metadata

Return Type: Entity

Preconditions: - Name must be non-empty - Entity type must be valid - Initial state must be valid if provided

Postconditions: - Entity is created with unique ID - Entity is in initialized lifecycle stage - All provided data is stored

Exceptions Raised: - InvalidNameError if name is invalid - InvalidTypeError if type is invalid - InvalidStateError if state is invalid

Example Usage:

entity = Entity.create(
    name="Electron-1",
    entity_type="particle",
    initial_state=State(...),
    properties={"mass": Property(...)}
)

initialize()¶

Method Name: initialize

Signature:

def initialize(self, initial_state: State) -> None

Input Parameters: - initial_state: Initial state for the entity

Return Type: None

Preconditions: - Entity must be in created stage - Initial state must be valid

Postconditions: - Entity state is set - Entity lifecycle moves to initialized stage - Initialization event is emitted

Exceptions Raised: - InvalidLifecycleError if entity not in created stage - InvalidStateError if state is invalid

Example Usage:

entity.initialize(initial_state=State(...))

activate()¶

Method Name: activate

Signature:

def activate(self) -> None

Input Parameters: None

Return Type: None

Preconditions: - Entity must be in initialized stage - All constraints must be satisfied

Postconditions: - Entity is marked as active - Entity lifecycle moves to active stage - Activation event is emitted

Exceptions Raised: - InvalidLifecycleError if entity not in initialized stage - ConstraintViolationError if constraints not satisfied

Example Usage:

entity.activate()

deactivate()¶

Method Name: deactivate

Signature:

def deactivate(self) -> None

Input Parameters: None

Return Type: None

Preconditions: - Entity must be in active stage

Postconditions: - Entity is marked as inactive - Entity lifecycle moves to inactive stage - Deactivation event is emitted

Exceptions Raised: - InvalidLifecycleError if entity not in active stage

Example Usage:

entity.deactivate()

suspend()¶

Method Name: suspend

Signature:

def suspend(self) -> None

Input Parameters: None

Return Type: None

Preconditions: - Entity must be in active stage

Postconditions: - Entity is marked as suspended - Entity lifecycle moves to suspended stage - Suspension event is emitted

Exceptions Raised: - InvalidLifecycleError if entity not in active stage

Example Usage:

entity.suspend()

destroy()¶

Method Name: destroy

Signature:

def destroy(self) -> None

Input Parameters: None

Return Type: None

Preconditions: - Entity must not be in active stage - All relationships must be removed

Postconditions: - Entity resources are cleaned up - Entity lifecycle moves to destroyed stage - Destruction event is emitted

Exceptions Raised: - InvalidLifecycleError if entity in active stage - RelationshipError if relationships exist

Example Usage:

entity.destroy()

clone()¶

Method Name: clone

Signature:

def clone(self, deep: bool = True) -> Entity

Input Parameters: - deep: Whether to perform deep copy

Return Type: Entity

Preconditions: - Entity must be clonable - All referenced objects must support cloning

Postconditions: - New entity is created with copied data - New entity has unique ID - Clone event is emitted

Exceptions Raised: - CloneError if cloning fails

Example Usage:

cloned_entity = entity.clone(deep=True)

observe()¶

Method Name: observe

Signature:

def observe(self) -> Observation

Input Parameters: None

Return Type: Observation

Preconditions: - Entity must be observable - Entity must have valid state

Postconditions: - Observation is created with current state - Observation event is emitted

Exceptions Raised: - ObservationError if observation fails

Example Usage:

observation = entity.observe()

snapshot()¶

Method Name: snapshot

Signature:

def snapshot(self) -> dict[str, Any]

Input Parameters: None

Return Type: dict[str, Any]

Preconditions: - Entity must have valid state

Postconditions: - Complete entity state is captured - Snapshot is serializable

Exceptions Raised: - SnapshotError if snapshot fails

Example Usage:

snapshot = entity.snapshot()

restore()¶

Method Name: restore

Signature:

def restore(self, snapshot: dict[str, Any]) -> None

Input Parameters: - snapshot: Snapshot to restore from

Return Type: None

Preconditions: - Snapshot must be valid - Snapshot must be compatible

Postconditions: - Entity state is restored - Restore event is emitted

Exceptions Raised: - RestoreError if restore fails - IncompatibleSnapshotError if snapshot incompatible

Example Usage:

entity.restore(snapshot)

validate()¶

Method Name: validate

Signature:

def validate(self) -> ValidationResult

Input Parameters: None

Return Type: ValidationResult

Preconditions: None

Postconditions: - Entity integrity is verified - Validation result is returned

Exceptions Raised: None

Example Usage:

result = entity.validate()
if not result.is_valid:
    print(result.errors)

compare()¶

Method Name: compare

Signature:

def compare(self, other: Entity) -> ComparisonResult

Input Parameters: - other: Entity to compare with

Return Type: ComparisonResult

Preconditions: - Other entity must be of compatible type

Postconditions: - Entities are compared - Comparison result is returned

Exceptions Raised: - IncompatibleTypeError if types incompatible

Example Usage:

result = entity.compare(other_entity)
print(result.similarity)

serialize()¶

Method Name: serialize

Signature:

def serialize(self, format: SerializationFormat = SerializationFormat.JSON) -> bytes

Input Parameters: - format: Serialization format

Return Type: bytes

Preconditions: - Entity must be serializable - Format must be supported

Postconditions: - Entity is converted to bytes - Serialized data is valid

Exceptions Raised: - SerializationError if serialization fails - UnsupportedFormatError if format not supported

Example Usage:

data = entity.serialize(format=SerializationFormat.JSON)

deserialize()¶

Method Name: deserialize

Signature:

@classmethod
def deserialize(cls, data: bytes, format: SerializationFormat = SerializationFormat.JSON) -> Entity

Input Parameters: - data: Serialized data - format: Serialization format

Return Type: Entity

Preconditions: - Data must be valid - Format must be supported

Postconditions: - Entity is created from data - Entity is fully initialized

Exceptions Raised: - DeserializationError if deserialization fails - InvalidDataError if data invalid

Example Usage:

entity = Entity.deserialize(data, format=SerializationFormat.JSON)

update_state()¶

Method Name: update_state

Signature:

def update_state(self, new_state: State) -> None

Input Parameters: - new_state: New state to set

Return Type: None

Preconditions: - New state must be valid - All constraints must be satisfied

Postconditions: - Current state is archived in history - New state is set - State change event is emitted

Exceptions Raised: - InvalidStateError if state invalid - ConstraintViolationError if constraints violated

Example Usage:

entity.update_state(new_state)

interact()¶

Method Name: interact

Signature:

def interact(self, interaction: Interaction) -> InteractionResult

Input Parameters: - interaction: Interaction to participate in

Return Type: InteractionResult

Preconditions: - Entity must be active - Interaction must be valid

Postconditions: - Entity participates in interaction - State may be updated - Interaction result is returned

Exceptions Raised: - InteractionError if interaction fails - InvalidStateError if state becomes invalid

Example Usage:

result = entity.interact(interaction)

add_property()¶

Method Name: add_property

Signature:

def add_property(self, property: Property) -> None

Input Parameters: - property: Property to add

Return Type: None

Preconditions: - Property must be valid - Property name must be unique

Postconditions: - Property is added to entity - Property added event is emitted

Exceptions Raised: - DuplicatePropertyError if property name exists - InvalidPropertyError if property invalid

Example Usage:

entity.add_property(Property(name="mass", value=Attribute(...)))

remove_property()¶

Method Name: remove_property

Signature:

def remove_property(self, property_name: str) -> None

Input Parameters: - property_name: Name of property to remove

Return Type: None

Preconditions: - Property must exist

Postconditions: - Property is removed from entity - Property removed event is emitted

Exceptions Raised: - PropertyNotFoundError if property not found

Example Usage:

entity.remove_property("mass")

add_relationship()¶

Method Name: add_relationship

Signature:

def add_relationship(self, relationship: Relationship) -> None

Input Parameters: - relationship: Relationship to add

Return Type: None

Preconditions: - Relationship must be valid - Entity must be one of the endpoints

Postconditions: - Relationship is added to entity - Relationship added event is emitted

Exceptions Raised: - InvalidRelationshipError if relationship invalid - NotEndpointError if entity not endpoint

Example Usage:

entity.add_relationship(Relationship(type="bond", target=other_entity))

remove_relationship()¶

Method Name: remove_relationship

Signature:

def remove_relationship(self, relationship_id: str) -> None

Input Parameters: - relationship_id: ID of relationship to remove

Return Type: None

Preconditions: - Relationship must exist

Postconditions: - Relationship is removed from entity - Relationship removed event is emitted

Exceptions Raised: - RelationshipNotFoundError if relationship not found

Example Usage:

entity.remove_relationship(relationship_id)

add_constraint()¶

Method Name: add_constraint

Signature:

def add_constraint(self, constraint: Constraint) -> None

Input Parameters: - constraint: Constraint to add

Return Type: None

Preconditions: - Constraint must be valid

Postconditions: - Constraint is added to entity - State is validated against constraint - Constraint added event is emitted

Exceptions Raised: - InvalidConstraintError if constraint invalid - ConstraintViolationError if current state violates

Example Usage:

entity.add_constraint(Constraint(rule="mass > 0"))

remove_constraint()¶

Method Name: remove_constraint

Signature:

def remove_constraint(self, constraint_id: str) -> None

Input Parameters: - constraint_id: ID of constraint to remove

Return Type: None

Preconditions: - Constraint must exist

Postconditions: - Constraint is removed from entity - Constraint removed event is emitted

Exceptions Raised: - ConstraintNotFoundError if constraint not found

Example Usage:

entity.remove_constraint(constraint_id)

emit_event()¶

Method Name: emit_event

Signature:

def emit_event(self, event: Event) -> None

Input Parameters: - event: Event to emit

Return Type: None

Preconditions: - Event must be valid - Entity must be observable

Postconditions: - Event is emitted to observers - Event is logged

Exceptions Raised: - InvalidEventError if event invalid

Example Usage:

entity.emit_event(Event(type="state_changed", data={...}))

Private Helpers¶

_validate_state_transition(): Validate state transition is valid _archive_current_state(): Archive current state to history _check_constraints(): Check all constraints are satisfied _increment_version(): Increment entity version _update_timestamp(): Update updated_at timestamp

Lifecycle¶

Created
    ↓
Initialized
    ↓
Validated
    ↓
Activated
    ↓
Updated (repeated)
    ↓
Observed (repeated)
    ↓
Serialized (optional)
    ↓
Archived (optional)
    ↓
Destroyed

Events¶

EntityCreated: Emitted when entity is created EntityInitialized: Emitted when entity is initialized EntityActivated: Emitted when entity is activated EntityDeactivated: Emitted when entity is deactivated EntitySuspended: Emitted when entity is suspended EntityDestroyed: Emitted when entity is destroyed StateChanged: Emitted when entity state changes PropertyAdded: Emitted when property is added PropertyRemoved: Emitted when property is removed RelationshipAdded: Emitted when relationship is added RelationshipRemoved: Emitted when relationship is removed ConstraintAdded: Emitted when constraint is added ConstraintRemoved: Emitted when constraint is removed ConstraintViolated: Emitted when constraint is violated ValidationFailed: Emitted when validation fails

3.2 System Class¶

General¶

Class Name: System

Description: A collection of entities that form a coherent whole.

Design Rationale: Systems provide the boundary and context for entities to interact. They enable modeling of complex scientific systems as collections of simpler entities.

Scientific Meaning: A quantum circuit, a physical system, a chemical reaction network, a biological organism, a financial market.

SDK Purpose: Provides the contract for managing collections of entities and their interactions.

Relationships¶

Parent Class: ABC

Child Classes: - QuantumSystem (quantum package) - PhysicalSystem (physics package) - ChemicalSystem (chemistry package) - BiologicalSystem (biology package) - AstronomicalSystem (astronomy package) - FinancialSystem (finance package)

Interfaces Implemented: - Observable - Serializable - Validatable

Collaborating Classes: - Entity (system components) - State (system state) - Constraint (system constraints) - Interaction (entity interactions)

Attributes¶

id: UUID - Unique system identifier

name: str - System name

entities: dict[str, Entity] - Entity collection

state: State - System state

constraints: list[Constraint] - System constraints

boundary: dict[str, Any] - System boundary definition

metadata: dict[str, Any] - System metadata

created_at: datetime - Creation timestamp

updated_at: datetime - Last update timestamp

Properties¶

entity_count: int (number of entities) is_empty: bool (whether system has entities) is_active: bool (whether system is active)

Behaviors¶

add_entity(): Add entity to system remove_entity(): Remove entity from system get_entity(): Retrieve entity by ID list_entities(): List all entities validate(): Validate system integrity serialize(): Serialize system deserialize(): Deserialize system observe(): Observe system state apply_constraint(): Apply system constraint remove_constraint(): Remove system constraint

Methods¶

add_entity()¶

Method Name: add_entity

Signature:

def add_entity(self, entity: Entity) -> None

Input Parameters: - entity: Entity to add

Return Type: None

Preconditions: - Entity must be valid - Entity must not already be in system

Postconditions: - Entity is added to system - System state is updated - Entity added event is emitted

Exceptions Raised: - DuplicateEntityError if entity already in system - InvalidEntityError if entity invalid

Example Usage:

system.add_entity(entity)

remove_entity()¶

Method Name: remove_entity

Signature:

def remove_entity(self, entity_id: str) -> None

Input Parameters: - entity_id: ID of entity to remove

Return Type: None

Preconditions: - Entity must exist in system - Entity must not have active relationships

Postconditions: - Entity is removed from system - System state is updated - Entity removed event is emitted

Exceptions Raised: - EntityNotFoundError if entity not found - ActiveRelationshipError if entity has active relationships

Example Usage:

system.remove_entity(entity_id)

get_entity()¶

Method Name: get_entity

Signature:

def get_entity(self, entity_id: str) -> Entity

Input Parameters: - entity_id: ID of entity to retrieve

Return Type: Entity

Preconditions: - Entity must exist in system

Postconditions: - Entity is returned

Exceptions Raised: - EntityNotFoundError if entity not found

Example Usage:

entity = system.get_entity(entity_id)

list_entities()¶

Method Name: list_entities

Signature:

def list_entities(self, filter: dict[str, Any] | None = None) -> list[Entity]

Input Parameters: - filter: Optional filter criteria

Return Type: list[Entity]

Preconditions: None

Postconditions: - Filtered entity list is returned

Exceptions Raised: None

Example Usage:

entities = system.list_entities(filter={"type": "particle"})

validate()¶

Method Name: validate

Signature:

def validate(self) -> ValidationResult

Input Parameters: None

Return Type: ValidationResult

Preconditions: None

Postconditions: - System integrity is verified - Validation result is returned

Exceptions Raised: None

Example Usage:

result = system.validate()

Lifecycle¶

Created
    ↓
Initialized
    ↓
Populated (entities added)
    ↓
Validated
    ↓
Activated
    ↓
Evolved (interactions occur)
    ↓
Observed
    ↓
Serialized
    ↓
Destroyed

Events¶

SystemCreated: Emitted when system is created EntityAdded: Emitted when entity is added EntityRemoved: Emitted when entity is removed SystemValidated: Emitted when system is validated SystemActivated: Emitted when system is activated SystemDestroyed: Emitted when system is destroyed

3.3 State Class¶

General¶

Class Name: State

Description: Represents the complete condition of an entity or system at a point in time.

Design Rationale: State provides a unified model for representing conditions across all scientific domains.

Scientific Meaning: Quantum state vector, physical state (position, momentum), chemical state (concentrations), biological state (cell state), financial state (portfolio state).

SDK Purpose: Provides the contract for representing and managing entity/system conditions.

Relationships¶

Parent Class: ABC

Child Classes: - QuantumState (quantum package) - PhysicalState (physics package) - ChemicalState (chemistry package) - BiologicalState (biology package) - FinancialState (finance package)

Interfaces Implemented: - Serializable - Comparable - Cloneable

Collaborating Classes: - Entity (state owner) - Transformation (state changes)

Attributes¶

data: dict[str, Any] - State data

timestamp: datetime - State timestamp

version: int - State version

metadata: dict[str, Any] - State metadata

Properties¶

age: timedelta (time since state creation) is_valid: bool (whether state is valid)

Behaviors¶

compare(): Compare states clone(): Clone state serialize(): Serialize state deserialize(): Deserialize state validate(): Validate state apply_transformation(): Apply transformation to state

Methods¶

compare()¶

Method Name: compare

Signature:

def compare(self, other: State) -> StateComparison

Input Parameters: - other: State to compare with

Return Type: StateComparison

Preconditions: - Other state must be compatible

Postconditions: - States are compared - Comparison result is returned

Exceptions Raised: - IncompatibleStateError if states incompatible

Example Usage:

comparison = state.compare(other_state)

apply_transformation()¶

Method Name: apply_transformation

Signature:

def apply_transformation(self, transformation: Transformation) -> State

Input Parameters: - transformation: Transformation to apply

Return Type: State

Preconditions: - Transformation must be valid - Transformation must be applicable

Postconditions: - New state is created - Transformation is applied

Exceptions Raised: - InvalidTransformationError if transformation invalid - TransformationError if transformation fails

Example Usage:

new_state = state.apply_transformation(transformation)

Lifecycle¶

Created
    ↓
Initialized
    ↓
Validated
    ↓
Used
    ↓
Archived

Events¶

StateChanged: Emitted when state changes StateValidated: Emitted when state is validated StateArchived: Emitted when state is archived

3.4 Interaction Class¶

General¶

Class Name: Interaction

Description: Represents how entities affect each other.

Design Rationale: Interactions provide the mechanism for entities to influence each other, enabling modeling of forces, reactions, transactions, etc.

Scientific Meaning: Quantum gate operation, physical force, chemical reaction, biological interaction, financial transaction.

SDK Purpose: Provides the contract for defining and executing entity interactions.

Relationships¶

Parent Class: ABC

Child Classes: - QuantumInteraction (quantum package) - PhysicalInteraction (physics package) - ChemicalInteraction (chemistry package) - BiologicalInteraction (biology package) - FinancialInteraction (finance package)

Interfaces Implemented: - Observable - Serializable

Collaborating Classes: - Entity (interaction participants) - State (state changes)

Attributes¶

id: UUID - Interaction identifier

type: str - Interaction type

participants: list[Entity] - Participating entities

parameters: dict[str, Any] - Interaction parameters

result: InteractionResult | None - Interaction result

timestamp: datetime - Interaction timestamp

duration: timedelta | None - Interaction duration

Properties¶

is_complete: bool (whether interaction is complete) participant_count: int (number of participants)

Behaviors¶

execute(): Execute interaction validate(): Validate interaction serialize(): Serialize interaction deserialize(): Deserialize interaction add_participant(): Add participant remove_participant(): Remove participant

Methods¶

execute()¶

Method Name: execute

Signature:

def execute(self) -> InteractionResult

Input Parameters: None

Return Type: InteractionResult

Preconditions: - All participants must be active - All parameters must be valid - All constraints must be satisfied

Postconditions: - Interaction is executed - Participant states may change - Result is returned - Interaction completed event is emitted

Exceptions Raised: - InteractionError if execution fails - ConstraintViolationError if constraints violated

Example Usage:

result = interaction.execute()

Lifecycle¶

Created
    ↓
Configured (participants added)
    ↓
Validated
    ↓
Executed
    ↓
Completed

Events¶

InteractionCreated: Emitted when interaction is created InteractionStarted: Emitted when interaction starts InteractionCompleted: Emitted when interaction completes InteractionFailed: Emitted when interaction fails

3.5 Identity Class¶

General¶

Class Name: Identity

Description: Represents unique identification for entities.

Design Rationale: Identity provides a robust mechanism for uniquely identifying entities across space and time.

Scientific Meaning: Unique identifier for particles, atoms, molecules, cells, etc.

SDK Purpose: Provides the contract for entity identification.

Relationships¶

Parent Class: ABC

Child Classes: - UUIDIdentity (concrete implementation) - CompositeIdentity (composite identifiers)

Interfaces Implemented: - Serializable - Comparable

Attributes¶

id: UUID - Unique identifier

namespace: str | None - Optional namespace

metadata: dict[str, Any] - Identity metadata

Properties¶

is_valid: bool (whether identity is valid) string: str (string representation)

Behaviors¶

compare(): Compare identities serialize(): Serialize identity deserialize(): Deserialize identity validate(): Validate identity

Methods¶

validate()¶

Method Name: validate

Signature:

def validate(self) -> bool

Input Parameters: None

Return Type: bool

Preconditions: None

Postconditions: - Identity validity is checked - Result is returned

Exceptions Raised: None

Example Usage:

if identity.validate():
    print("Identity is valid")

3.6 Property Class¶

General¶

Class Name: Property

Description: Represents named characteristics of entities.

Design Rationale: Properties provide a structured way to define and manage entity characteristics.

Scientific Meaning: Mass, charge, spin, position, momentum, concentration, etc.

SDK Purpose: Provides the contract for entity properties.

Relationships¶

Parent Class: ABC

Child Classes: - ScalarProperty - VectorProperty - TensorProperty

Interfaces Implemented: - Serializable - Validatable

Collaborating Classes: - Attribute (property values)

Attributes¶

name: str - Property name

value: Attribute - Property value

type: str - Property type

unit: str | None - Optional unit

metadata: dict[str, Any] - Property metadata

constraints: list[Constraint] - Property constraints

Properties¶

is_valid: bool (whether property is valid) has_unit: bool (whether property has unit)

Behaviors¶

validate(): Validate property serialize(): Serialize property deserialize(): Deserialize property set_value(): Set property value get_value(): Get property value

Methods¶

validate()¶

Method Name: validate

Signature:

def validate(self) -> ValidationResult

Input Parameters: None

Return Type: ValidationResult

Preconditions: None

Postconditions: - Property is validated - Result is returned

Exceptions Raised: None

Example Usage:

result = property.validate()

3.7 Attribute Class¶

General¶

Class Name: Attribute

Description: Represents typed values for properties.

Design Rationale: Attributes provide type-safe value representation for properties.

Scientific Meaning: Concrete values with types (scalars, vectors, tensors, complex numbers).

SDK Purpose: Provides the contract for typed values.

Relationships¶

Parent Class: ABC

Child Classes: - ScalarAttribute - VectorAttribute - TensorAttribute - ComplexAttribute

Interfaces Implemented: - Serializable - Validatable - Comparable

Attributes¶

value: Any - Attribute value

type: str - Attribute type

precision: int | None - Optional precision

unit: str | None - Optional unit

Properties¶

is_scalar: bool (whether attribute is scalar) is_vector: bool (whether attribute is vector)

Behaviors¶

validate(): Validate attribute serialize(): Serialize attribute deserialize(): Deserialize attribute compare(): Compare attributes convert(): Convert to different type

Methods¶

validate()¶

Method Name: validate

Signature:

def validate(self) -> ValidationResult

Input Parameters: None

Return Type: ValidationResult

Preconditions: None

Postconditions: - Attribute is validated - Result is returned

Exceptions Raised: None

Example Usage:

result = attribute.validate()

3.8 Behaviour Class¶

General¶

Class Name: Behaviour

Description: Represents actions and responses of entities.

Design Rationale: Behaviors provide the mechanism for entities to act and respond to stimuli.

Scientific Meaning: Movement, reaction, computation, decision-making, etc.

SDK Purpose: Provides the contract for entity behaviors.

Relationships¶

Parent Class: ABC

Child Classes: - DeterministicBehaviour - StochasticBehaviour - LearnedBehaviour

Interfaces Implemented: - Observable - Serializable

Collaborating Classes: - Entity (behavior owner) - State (behavior context)

Attributes¶

name: str - Behavior name

type: str - Behavior type

parameters: dict[str, Any] - Behavior parameters

preconditions: list[Constraint] - Behavior preconditions

postconditions: list[Constraint] - Behavior postconditions

Properties¶

is_executable: bool (whether behavior can execute)

Behaviors¶

execute(): Execute behavior validate(): Validate behavior serialize(): Serialize behavior deserialize(): Deserialize behavior

Methods¶

execute()¶

Method Name: execute

Signature:

def execute(self, context: dict[str, Any]) -> BehaviourResult

Input Parameters: - context: Execution context

Return Type: BehaviourResult

Preconditions: - All preconditions must be satisfied - Context must be valid

Postconditions: - Behavior is executed - Result is returned - Behavior executed event is emitted

Exceptions Raised: - BehaviourError if execution fails - PreconditionError if preconditions not satisfied

Example Usage:

result = behaviour.execute(context={"state": current_state})

3.9 Relationship Class¶

General¶

Class Name: Relationship

Description: Represents connections between entities.

Design Rationale: Relationships provide the mechanism for defining structural and functional connections between entities.

Scientific Meaning: Bonds, forces, dependencies, associations, etc.

SDK Purpose: Provides the contract for entity relationships.

Relationships¶

Parent Class: ABC

Child Classes: - DirectedRelationship - UndirectedRelationship - WeightedRelationship

Interfaces Implemented: - Serializable - Validatable

Collaborating Classes: - Entity (relationship endpoints)

Attributes¶

id: UUID - Relationship identifier

type: str - Relationship type

source: Entity - Source entity

target: Entity - Target entity

properties: dict[str, Any] - Relationship properties

metadata: dict[str, Any] - Relationship metadata

Properties¶

is_directed: bool (whether relationship is directed) is_active: bool (whether relationship is active)

Behaviors¶

validate(): Validate relationship serialize(): Serialize relationship deserialize(): Deserialize relationship activate(): Activate relationship **deactivate()`: Deactivate relationship

Methods¶

validate()¶

Method Name: validate

Signature:

def validate(self) -> ValidationResult

Input Parameters: None

Return Type: ValidationResult

Preconditions: None

Postconditions: - Relationship is validated - Result is returned

Exceptions Raised: None

Example Usage:

result = relationship.validate()

3.10 Constraint Class¶

General¶

Class Name: Constraint

Description: Represents rules and limitations for entities and systems.

Design Rationale: Constraints provide the mechanism for enforcing rules and limitations.

Scientific Meaning: Physical laws, conservation rules, business rules, etc.

SDK Purpose: Provides the contract for constraints.

Relationships¶

Parent Class: ABC

Child Classes: - EqualityConstraint - InequalityConstraint - RangeConstraint - LogicalConstraint

Interfaces Implemented: - Serializable - Validatable

Collaborating Classes: - Entity (constrained entity) - State (constrained state)

Attributes¶

id: UUID - Constraint identifier

type: str - Constraint type

rule: str | Callable - Constraint rule

severity: ConstraintSeverity - Constraint severity

message: str | None - Constraint violation message

Properties¶

is_hard: bool (whether constraint is hard) is_soft: bool (whether constraint is soft)

Behaviors¶

evaluate(): Evaluate constraint validate(): Validate constraint **serialize(): Serialize constraint deserialize()`: Deserialize constraint

Methods¶

evaluate()¶

Method Name: evaluate

Signature:

def evaluate(self, context: dict[str, Any]) -> ConstraintResult

Input Parameters: - context: Evaluation context

Return Type: ConstraintResult

Preconditions: - Context must be valid

Postconditions: - Constraint is evaluated - Result is returned

Exceptions Raised: - ConstraintError if evaluation fails

Example Usage:

result = constraint.evaluate(context={"state": current_state})

3.11 Lifecycle Class¶

General¶

Class Name: Lifecycle

Description: Represents the lifecycle stages of entities.

Design Rationale: Lifecycle provides the mechanism for managing entity creation, evolution, and destruction.

Scientific Meaning: Birth, growth, death of entities.

SDK Purpose: Provides the contract for entity lifecycle management.

Relationships¶

Parent Class: ABC

Child Classes: - EntityLifecycle - SystemLifecycle

Interfaces Implemented: - Observable - Serializable

Collaborating Classes: - Entity (lifecycle owner) - Event (lifecycle events)

Attributes¶

current_stage: LifecycleStage - Current lifecycle stage

history: list[LifecycleTransition] - Lifecycle transition history

metadata: dict[str, Any] - Lifecycle metadata

Properties¶

is_active: bool (whether in active stage) **is_destroyed:bool` (whether in destroyed stage)

Behaviors¶

transition_to(): Transition to new stage validate_transition(): Validate transition **serialize(): Serialize lifecycle deserialize()`: Deserialize lifecycle

Methods¶

transition_to()¶

Method Name: transition_to

Signature:

def transition_to(self, new_stage: LifecycleStage) -> None

Input Parameters: - new_stage: Target stage

Return Type: None

Preconditions: - Transition must be valid - Entity must be in valid current stage

Postconditions: - Lifecycle transitions to new stage - Transition event is emitted - History is updated

Exceptions Raised: - InvalidTransitionError if transition invalid - LifecycleError if transition fails

Example Usage:

lifecycle.transition_to(LifecycleStage.ACTIVE)

3.12 Event Class¶

General¶

Class Name: Event

Description: Represents discrete occurrences in the system.

Design Rationale: Events provide the mechanism for representing and handling discrete changes and observations.

Scientific Meaning: State changes, interactions, measurements, etc.

SDK Purpose: Provides the contract for event representation and handling.

Relationships¶

Parent Class: ABC

Child Classes: - StateChangeEvent - InteractionEvent - ObservationEvent - LifecycleEvent

Interfaces Implemented: - Serializable - Timestamped

Collaborating Classes: - Time (event timestamp) - Entity (event source)

Attributes¶

id: UUID - Event identifier

type: str - Event type

source: Entity | None - Event source

timestamp: datetime - Event timestamp

data: dict[str, Any] - Event data

metadata: dict[str, Any] - Event metadata

Properties¶

age: timedelta (time since event) is_recent: bool (whether event is recent)

Behaviors¶

serialize(): Serialize event **deserialize(): Deserialize event **validate(): Validate event

Methods¶

validate()¶

Method Name: validate

Signature:

def validate(self) -> ValidationResult

Input Parameters: None

Return Type: ValidationResult

Preconditions: None

Postconditions: - Event is validated - Result is returned

Exceptions Raised: None

Example Usage:

result = event.validate()

3.13 Observation Class¶

General¶

Class Name: Observation

Description: Represents the capture of entity/system evolution.

Design Rationale: Observations provide the mechanism for measuring and recording system state.

Scientific Meaning: Measurements, recordings, data collection.

SDK Purpose: Provides the contract for observation representation and handling.

Relationships¶

Parent Class: ABC

Child Classes: - DirectObservation - IndirectObservation - DerivedObservation

Interfaces Implemented: - Serializable - Timestamped - Validatable

Collaborating Classes: - Entity (observed entity) - State (observed state) - Time (observation timestamp)

Attributes¶

id: UUID - Observation identifier

entity_id: str - Observed entity ID

state: State - Observed state

timestamp: datetime - Observation timestamp

metadata: dict[str, Any] - Observation metadata

quality: ObservationQuality - Observation quality

Properties¶

is_valid: bool (whether observation is valid) age: timedelta (time since observation)

Behaviors¶

validate(): Validate observation serialize(): Serialize observation **deserialize(): Deserialize observation compare()`: Compare observations

Methods¶

validate()¶

Method Name: validate

Signature:

def validate(self) -> ValidationResult

Input Parameters: None

Return Type: ValidationResult

Preconditions: None

Postconditions: - Observation is validated - Result is returned

Exceptions Raised: None

Example Usage:

result = observation.validate()

3.14 Knowledge Class¶

General¶

Class Name: Knowledge

Description: Represents derived information from observations.

Design Rationale: Knowledge provides the mechanism for representing learned patterns, models, and insights.

Scientific Meaning: Learned patterns, models, insights from data.

SDK Purpose: Provides the contract for knowledge representation and application.

Relationships¶

Parent Class: ABC

Child Classes: - PatternKnowledge - ModelKnowledge - RuleKnowledge

Interfaces Implemented: - Serializable - Validatable

Collaborating Classes: - Observation (knowledge source)

Attributes¶

id: UUID - Knowledge identifier

type: str - Knowledge type

source_observations: list[Observation] - Source observations

content: dict[str, Any] - Knowledge content

confidence: float - Knowledge confidence

metadata: dict[str, Any] - Knowledge metadata

Properties¶

is_reliable: bool (whether knowledge is reliable) age: timedelta (time since knowledge creation)

Behaviors¶

validate(): Validate knowledge serialize(): Serialize knowledge **deserialize(): Deserialize knowledge apply(): Apply knowledge **update(): Update knowledge

Methods¶

apply()¶

Method Name: apply

Signature:

def apply(self, context: dict[str, Any]) -> KnowledgeResult

Input Parameters: - context: Application context

Return Type: KnowledgeResult

Preconditions: - Knowledge must be valid - Context must be applicable

Postconditions: - Knowledge is applied - Result is returned

Exceptions Raised: - KnowledgeError if application fails

Example Usage:

result = knowledge.apply(context={"state": current_state})

3.15 Transformation Class¶

General¶

Class Name: Transformation

Description: Represents state changes and conversions.

Design Rationale: Transformations provide the mechanism for representing and executing state changes.

Scientific Meaning: Operations, computations, evolutions.

SDK Purpose: Provides the contract for transformation representation and execution.

Relationships¶

Parent Class: ABC

Child Classes: - LinearTransformation - NonlinearTransformation - StochasticTransformation

Interfaces Implemented: - Serializable - Validatable

Collaborating Classes: - State (transformation target)

Attributes¶

id: UUID - Transformation identifier

type: str - Transformation type

parameters: dict[str, Any] - Transformation parameters

preconditions: list[Constraint] - Transformation preconditions

postconditions: list[Constraint] - Transformation postconditions

Properties¶

is_applicable: bool (whether transformation is applicable)

Behaviors¶

apply(): Apply transformation **validate(): Validate transformation serialize(): Serialize transformation **deserialize(): Deserialize transformation

Methods¶

apply()¶

Method Name: apply

Signature:

def apply(self, state: State) -> State

Input Parameters: - state: Input state

Return Type: State

Preconditions: - State must be valid - Preconditions must be satisfied

Postconditions: - Transformation is applied - New state is returned

Exceptions Raised: - TransformationError if application fails - PreconditionError if preconditions not satisfied

Example Usage:

new_state = transformation.apply(current_state)

3.16 Space Class¶

General¶

Class Name: Space

Description: Represents spatial context for entities and systems.

Design Rationale: Space provides the mechanism for representing geometric or topological context.

Scientific Meaning: Euclidean space, Hilbert space, configuration space.

SDK Purpose: Provides the contract for spatial representation and operations.

Relationships¶

Parent Class: ABC

Child Classes: - EuclideanSpace - HilbertSpace - ConfigurationSpace

Interfaces Implemented: - Serializable - Validatable

Attributes¶

dimension: int - Space dimension

type: str - Space type

origin: list[float] - Space origin

basis: list[list[float]] - Space basis

metadata: dict[str, Any] - Space metadata

Properties¶

is_finite: bool (whether space is finite) is_bounded: bool (whether space is bounded)

Behaviors¶

validate(): Validate space **serialize(): Serialize space deserialize(): Deserialize space **transform(): Transform coordinates **distance()`: Calculate distance

Methods¶

distance()¶

Method Name: distance

Signature:

def distance(self, point1: list[float], point2: list[float]) -> float

Input Parameters: - point1: First point - point2: Second point

Return Type: float

Preconditions: - Points must be valid - Points must be in space

Postconditions: - Distance is calculated - Result is returned

Exceptions Raised: - SpaceError if calculation fails

Example Usage:

dist = space.distance([0, 0], [1, 1])

3.17 Time Class¶

General¶

Class Name: Time

Description: Represents temporal context for entities and systems.

Design Rationale: Time provides the mechanism for representing temporal progression.

Scientific Meaning: Continuous time, discrete time, relativistic time.

SDK Purpose: Provides the contract for temporal representation and operations.

Relationships¶

Parent Class: ABC

Child Classes: - ContinuousTime - DiscreteTime - RelativisticTime

Interfaces Implemented: - Serializable - Comparable

Attributes¶

value: float - Time value

unit: str - Time unit

reference: datetime | None - Reference time

metadata: dict[str, Any] - Time metadata

Properties¶

is_absolute: bool (whether time is absolute) is_relative: bool (whether time is relative)

Behaviors¶

validate(): Validate time **serialize(): Serialize time deserialize(): Deserialize time **compare(): Compare times **add(): Add time interval **subtract(): Subtract time interval

Methods¶

compare()¶

Method Name: compare

Signature:

def compare(self, other: Time) -> TimeComparison

Input Parameters: - other: Time to compare with

Return Type: TimeComparison

Preconditions: - Other time must be compatible

Postconditions: - Times are compared - Result is returned

Exceptions Raised: - TimeError if comparison fails

Example Usage:

comparison = time.compare(other_time)

4. Interface Specifications¶

4.1 Identifiable Interface¶

Purpose: Provides contract for objects with unique identity.

Responsibility: Ensure objects can be uniquely identified and compared.

Methods: - get_id() -> str: Get unique identifier - set_id(id: str) -> None: Set unique identifier (if mutable)

Properties: - id: str: Unique identifier

4.2 Observable Interface¶

Purpose: Provides contract for objects that can emit events.

Responsibility: Enable event-driven architecture and observation patterns.

Methods: - add_observer(observer: Callable) -> None: Add event observer - remove_observer(observer: Callable) -> None: Remove event observer - emit_event(event: Event) -> None: Emit event to observers

Properties: - observer_count: int: Number of observers

4.3 Serializable Interface¶

Purpose: Provides contract for objects that can be serialized.

Responsibility: Enable data persistence and interchange.

Methods: - serialize(format: SerializationFormat) -> bytes: Serialize to bytes - deserialize(data: bytes, format: SerializationFormat) -> Self: Deserialize from bytes

Properties: - is_serializable: bool: Whether object is serializable

4.4 Validatable Interface¶

Purpose: Provides contract for objects that can be validated.

Responsibility: Ensure data integrity and consistency.

Methods: - validate() -> ValidationResult: Validate object - is_valid() -> bool: Check if object is valid

Properties: - validation_errors: list[str]: List of validation errors

4.5 Cloneable Interface¶

Purpose: Provides contract for objects that can be cloned.

Responsibility: Enable object copying and templating.

Methods: - clone(deep: bool = True) -> Self: Clone object - is_cloneable() -> bool: Check if object is cloneable

Properties: - is_deep_cloneable: bool: Whether deep cloning is supported

4.6 Comparable Interface¶

Purpose: Provides contract for objects that can be compared.

Responsibility: Enable object comparison and ordering.

Methods: - compare(other: Self) -> ComparisonResult: Compare with another object - equals(other: Self) -> bool: Check equality - is_less_than(other: Self) -> bool: Check if less than - is_greater_than(other: Self) -> bool: Check if greater than

Properties: - comparison_key: Any: Key for comparison

4.7 Timestamped Interface¶

Purpose: Provides contract for objects with temporal metadata.

Responsibility: Enable temporal tracking and auditing.

Methods: - get_timestamp() -> datetime: Get timestamp - set_timestamp(timestamp: datetime) -> None: Set timestamp (if mutable)

Properties: - timestamp: datetime: Object timestamp - age: timedelta: Time since timestamp

5. Method Contracts¶

5.1 Validation Result Contract¶

Type: ValidationResult

Attributes: - is_valid: bool: Whether validation passed - errors: list[ValidationError]: List of validation errors - warnings: list[ValidationWarning]: List of validation warnings

Methods: - add_error(error: ValidationError) -> None: Add error - add_warning(warning: ValidationWarning) -> None: Add warning - merge(other: ValidationResult) -> None: Merge with another result

5.2 Comparison Result Contract¶

Type: ComparisonResult

Attributes: - are_equal: bool: Whether objects are equal - similarity: float: Similarity score (0.0 to 1.0) - differences: dict[str, Any]: Detailed differences

Methods: - is_similar(threshold: float) -> bool: Check if similar above threshold

5.3 Interaction Result Contract¶

Type: InteractionResult

Attributes: - is_success: bool: Whether interaction succeeded - state_changes: dict[str, State]: State changes by entity - errors: list[InteractionError]: List of errors - metadata: dict[str, Any]: Result metadata

Methods: - get_entity_change(entity_id: str) -> State | None: Get state change for entity

5.4 Behaviour Result Contract¶

Type: BehaviourResult

Attributes: - is_success: bool: Whether behavior succeeded - output: Any: Behavior output - side_effects: list[SideEffect]: Side effects - metadata: dict[str, Any]: Result metadata

Methods: - has_side_effects() -> bool: Check if has side effects

5.5 Constraint Result Contract¶

Type: ConstraintResult

Attributes: - is_satisfied: bool: Whether constraint is satisfied - violation_message: str | None: Violation message if not satisfied - severity: ConstraintSeverity: Constraint severity

Methods: - is_violated() -> bool: Check if constraint is violated

6. Exception Hierarchy¶

QuantsMindError (from quantsmind.exceptions)
└── FoundationError
    ├── EntityError
    │   ├── InvalidStateError
    │   ├── InvalidLifecycleError
    │   ├── CloneError
    │   ├── DuplicatePropertyError
    │   ├── PropertyNotFoundError
    │   ├── InvalidPropertyError
    │   ├── RelationshipError
    │   ├── RelationshipNotFoundError
    │   ├── InvalidRelationshipError
    │   ├── NotEndpointError
    │   ├── ActiveRelationshipError
    │   ├── ConstraintError
    │   ├── ConstraintNotFoundError
    │   ├── InvalidConstraintError
    │   ├── ConstraintViolationError
    │   └── ObservationError
    ├── SystemError
    │   ├── DuplicateEntityError
    │   ├── InvalidEntityError
    │   ├── EntityNotFoundError
    │   └── SystemValidationError
    ├── StateError
    │   ├── InvalidStateError
    │   ├── IncompatibleStateError
    │   └── StateTransitionError
    ├── InteractionError
    │   ├── InvalidInteractionError
    │   ├── InteractionExecutionError
    │   └── ParticipantError
    ├── IdentityError
    │   ├── InvalidIdentityError
    │   ├── DuplicateIdentityError
    │   └── IdentityNotFoundError
    ├── PropertyError
    │   ├── InvalidPropertyError
    │   ├── DuplicatePropertyError
    │   └── PropertyNotFoundError
    ├── AttributeError
    │   ├── InvalidAttributeError
    │   ├── TypeError
    │   └── ConversionError
    ├── BehaviourError
    │   ├── InvalidBehaviourError
    │   ├── ExecutionError
    │   └── PreconditionError
    ├── RelationshipError
    │   ├── InvalidRelationshipError
    │   ├── RelationshipNotFoundError
    │   ├── CycleError
    │   └── NotEndpointError
    ├── ConstraintError
    │   ├── InvalidConstraintError
    │   ├── ConstraintNotFoundError
    │   ├── ConstraintViolationError
    │   ├── EvaluationError
    │   └── CircularDependencyError
    ├── LifecycleError
    │   ├── InvalidLifecycleError
    │   ├── InvalidTransitionError
    │   ├── TransitionError
    │   └── LifecycleStageError
    ├── EventError
    │   ├── InvalidEventError
    │   ├── EventNotFoundError
    │   └── EventOrderingError
    ├── ObservationError
    │   ├── InvalidObservationError
    │   ├── ObservationQualityError
    │   └── ObservationError
    ├── KnowledgeError
    │   ├── InvalidKnowledgeError
    │   ├── KnowledgeApplicationError
    │   └── KnowledgeUpdateError
    ├── TransformationError
    │   ├── InvalidTransformationError
    │   ├── TransformationApplicationError
    │   └── TransformationError
    ├── SpaceError
    │   ├── InvalidSpaceError
    │   ├── DimensionError
    │   ├── CoordinateError
    │   └── SpaceError
    ├── TimeError
    │   ├── InvalidTimeError
    │   ├── TimeConversionError
    │   ├── TimeReferenceError
    │   └── TimeError
    ├── ValidationError
    │   ├── ValidationRuleError
    │   ├── ValidationError
    │   └── ValidationError
    ├── SerializationError
    │   ├── SerializationError
    │   ├── DeserializationError
    │   ├── InvalidDataError
    │   ├── UnsupportedFormatError
    │   ├── IncompatibleVersionError
    │   └── SerializationError
    ├── InterfaceError
    │   ├── InterfaceNotImplementedError
    │   ├── InterfaceMethodError
    │   └── InterfaceError
    └── FactoryError
        ├── CreationError
        ├── ConfigurationError
        └── FactoryError

Exception Descriptions¶

FoundationError¶

Base exception for all foundation package errors.

EntityError¶

Base exception for entity-related errors.

SystemError¶

Base exception for system-related errors.

StateError¶

Base exception for state-related errors.

InteractionError¶

Base exception for interaction-related errors.

IdentityError¶

Base exception for identity-related errors.

PropertyError¶

Base exception for property-related errors.

AttributeError¶

Base exception for attribute-related errors.

BehaviourError¶

Base exception for behaviour-related errors.

RelationshipError¶

Base exception for relationship-related errors.

ConstraintError¶

Base exception for constraint-related errors.

LifecycleError¶

Base exception for lifecycle-related errors.

EventError¶

Base exception for event-related errors.

ObservationError¶

Base exception for observation-related errors.

KnowledgeError¶

Base exception for knowledge-related errors.

TransformationError¶

Base exception for transformation-related errors.

SpaceError¶

Base exception for space-related errors.

TimeError¶

Base exception for time-related errors.

ValidationError¶

Base exception for validation-related errors.

SerializationError¶

Base exception for serialization-related errors.

InterfaceError¶

Base exception for interface-related errors.

FactoryError¶

Base exception for factory-related errors.

7. Event Hierarchy¶

Event (base)
├── EntityEvent
│   ├── EntityCreated
│   ├── EntityInitialized
│   ├── EntityActivated
│   ├── EntityDeactivated
│   ├── EntitySuspended
│   ├── EntityDestroyed
│   ├── StateChanged
│   ├── PropertyAdded
│   ├── PropertyRemoved
│   ├── RelationshipAdded
│   ├── RelationshipRemoved
│   ├── ConstraintAdded
│   ├── ConstraintRemoved
│   ├── ConstraintViolated
│   └── ValidationFailed
├── SystemEvent
│   ├── SystemCreated
│   ├── EntityAdded
│   ├── EntityRemoved
│   ├── SystemValidated
│   ├── SystemActivated
│   └── SystemDestroyed
├── StateEvent
│   ├── StateChanged
│   ├── StateValidated
│   └── StateArchived
├── InteractionEvent
│   ├── InteractionCreated
│   ├── InteractionStarted
│   ├── InteractionCompleted
│   └── InteractionFailed
├── LifecycleEvent
│   ├── LifecycleTransition
│   ├── StageChanged
│   └── LifecycleError
└── ObservationEvent
    ├── ObservationCreated
    ├── ObservationRecorded
    └── ObservationQualityChanged

Event Descriptions¶

EntityEvent¶

Base event for entity-related events.

SystemEvent¶

Base event for system-related events.

StateEvent¶

Base event for state-related events.

InteractionEvent¶

Base event for interaction-related events.

LifecycleEvent¶

Base event for lifecycle-related events.

ObservationEvent¶

Base event for observation-related events.

8. Validation Strategy¶

8.1 Validation Principles¶

Early Validation: Validate as early as possible in the object lifecycle
Comprehensive Validation: Validate all aspects of an object
Clear Error Messages: Provide clear, actionable error messages
Validation Composition: Support composition of validation rules
Performance: Ensure validation is performant and does not impact critical paths

8.2 Validation Levels¶

Level 1: Structural Validation¶

Validate object structure
Validate required fields
Validate field types

Level 2: Semantic Validation¶

Validate business rules
Validate constraints
Validate relationships

Level 3: Cross-Object Validation¶

Validate cross-object constraints
Validate system-level invariants
Validate consistency

8.3 Validation Architecture¶

Validator (base interface)
├── StructuralValidator
├── SemanticValidator
├── CrossObjectValidator
└── CompositeValidator

8.4 Validation Process¶

Pre-validation: Check preconditions before validation
Validation execution: Execute validation rules
Post-validation: Check postconditions after validation
Result aggregation: Aggregate validation results
Error reporting: Report validation errors and warnings

8.5 Validation Rules¶

Entity Validation Rules¶

ID must be unique
Name must be non-empty
Type must be valid
State must be valid
Properties must be valid
Relationships must be valid
Constraints must be satisfied

System Validation Rules¶

Entity IDs must be unique within system
System constraints must be satisfied
System boundaries must be valid

State Validation Rules¶

State data must be valid
State must be compatible with entity type

Interaction Validation Rules¶

Participants must be valid
Parameters must be valid
Preconditions must be satisfied

9. Serialization Strategy¶

9.1 Serialization Principles¶

Format Independence: Support multiple serialization formats
Version Compatibility: Handle version differences gracefully
Performance: Optimize for performance
Security: Ensure sensitive data is handled securely
Extensibility: Support custom serialization logic

9.2 Supported Formats¶

JSON¶

Human-readable
Widely supported
Good for configuration and debugging

YAML¶

Human-readable
More concise than JSON
Good for configuration

MessagePack¶

Binary format
More compact than JSON
Good for network transmission

Binary¶

Custom binary format
Maximum performance
Good for high-performance scenarios

Protocol Buffers¶

Schema-based
Efficient binary format
Good for cross-language compatibility

9.3 Serialization Architecture¶

Serializer (base interface)
├── JSONSerializer
├── YAMLSerializer
├── MessagePackSerializer
├── BinarySerializer
└── ProtobufSerializer

9.4 Serialization Process¶

Pre-serialization: Check preconditions before serialization
Data preparation: Prepare data for serialization
Format conversion: Convert data to target format
Validation: Validate serialized data
Output: Output serialized data

9.5 Deserialization Process¶

Pre-deserialization: Check preconditions before deserialization
Data validation: Validate input data
Format conversion: Convert data from source format
Object reconstruction: Reconstruct objects from data
Post-deserialization: Check postconditions after deserialization

9.6 Version Handling¶

Include version information in serialized data
Support migration between versions
Provide backward compatibility
Handle missing fields gracefully

10. UML Descriptions¶

10.1 Package Diagram¶

+---------------------+
|     foundation      |
+---------------------+
| entity.py           |
| system.py           |
| state.py            |
| interaction.py      |
| identity.py         |
| property.py         |
| attribute.py        |
| behaviour.py        |
| relationship.py     |
| constraint.py       |
| lifecycle.py        |
| event.py            |
| observation.py      |
| knowledge.py        |
| transformation.py   |
| space.py            |
| time.py             |
| interfaces.py       |
| protocols.py        |
| enums.py            |
| validators.py       |
| serializers.py      |
| factories.py        |
| exceptions.py       |
| constants.py        |
| types.py            |
+---------------------+

10.2 Class Diagram¶

+-------------------+       +-------------------+
|      Entity       |       |      System       |
+-------------------+       +-------------------+
| - id: UUID        |       | - id: UUID        |
| - name: str       |       | - name: str       |
| - state: State    |       | - entities: dict  |
| - properties: dict|       | - state: State    |
| - relationships:  |       | - constraints:    |
|   dict            |       |   list            |
+-------------------+       +-------------------+
| + create()        |       | + add_entity()    |
| + initialize()    |       | + remove_entity() |
| + activate()      |       | + get_entity()    |
| + deactivate()    |       | + validate()      |
| + destroy()       |       +-------------------+
| + clone()         |
| + observe()       |
| + validate()      |
+-------------------+
         |
         | uses
         |
+-------------------+       +-------------------+
|      State        |       |   Interaction     |
+-------------------+       +-------------------+
| - data: dict      |       | - id: UUID        |
| - timestamp: dt   |       | - type: str       |
| - version: int    |       | - participants:   |
+-------------------+       |   list            |
| + compare()       |       | - parameters: dict|
| + clone()         |       +-------------------+
| + validate()      |       | + execute()       |
+-------------------+       | + validate()      |
                            +-------------------+

+-------------------+       +-------------------+
|    Identity       |       |     Property      |
+-------------------+       +-------------------+
| - id: UUID        |       | - name: str       |
| - namespace: str  | - value: Attribute    |
+-------------------+       | - type: str       |
| + validate()      |       +-------------------+
+-------------------+       | + validate()      |
                            +-------------------+

+-------------------+       +-------------------+
|    Attribute      |       |    Behaviour      |
+-------------------+       +-------------------+
| - value: Any      |       | - name: str       |
| - type: str       |       | - type: str       |
+-------------------+       | - parameters: dict|
| + validate()      |       +-------------------+
| + compare()       |       | + execute()       |
+-------------------+       | + validate()      |
                            +-------------------+

+-------------------+       +-------------------+
|  Relationship     |       |   Constraint      |
+-------------------+       +-------------------+
| - id: UUID        |       | - id: UUID        |
| - type: str       |       | - type: str       |
| - source: Entity  |       | - rule: str/func  |
| - target: Entity  |       +-------------------+
+-------------------+       | + evaluate()      |
| + validate()      |       | + validate()      |
+-------------------+       +-------------------+

10.3 Sequence Diagram¶

Actor      Entity      State      Interaction      Event
 |           |           |            |              |
 | create()  |           |            |              |
 |---------> |           |            |              |
 |           | initialize()           |              |
 |           |---------> |            |              |
 |           |           |            |              |
 | activate()|           |            |              |
 |---------> |           |            |              |
 |           | emit_event()           |              |
 |           |---------> |            |              |
 |           |           |--------->  |              |
 |           |           |            |              |
 | interact()|           |            |              |
 |---------> |           |--------->  |              |
 |           |           |            | execute()    |
 |           |           |            |--------->    |
 |           |           |            |              |
 |           | update_state()         |              |
 |           |---------> |            |              |
 |           |           | emit_event()              |
 |           |           |--------->  |--------->    |

10.4 Dependency Diagram¶

+-------------------+
|   interfaces.py   |
+-------------------+
        ^
        |
+-------------------+       +-------------------+
|     entity.py     |<------|    identity.py    |
+-------------------+       +-------------------+
        ^                          ^
        |                          |
+-------------------+       +-------------------+
|    system.py      |       |   property.py     |
+-------------------+       +-------------------+
        ^                          ^
        |                          |
+-------------------+       +-------------------+
|    state.py       |<------|   attribute.py    |
+-------------------+       +-------------------+
        ^
        |
+-------------------+
|  interaction.py   |
+-------------------+
        ^
        |
+-------------------+
|   behaviour.py    |
+-------------------+
        ^
        |
+-------------------+
| relationship.py   |
+-------------------+
        ^
        |
+-------------------+
|  constraint.py    |
+-------------------+
        ^
        |
+-------------------+
|   lifecycle.py    |
+-------------------+
        ^
        |
+-------------------+
|     event.py      |
+-------------------+
        ^
        |
+-------------------+
|  observation.py   |
+-------------------+
        ^
        |
+-------------------+
|   knowledge.py    |
+-------------------+
        ^
        |
+-------------------+
| transformation.py |
+-------------------+
        ^
        |
+-------------------+       +-------------------+
|     space.py      |       |     time.py       |
+-------------------+       +-------------------+

11. Testing Strategy¶

11.1 Testing Principles¶

Test Isolation: Tests should be independent and isolated
Test Coverage: Aim for high test coverage
Test Clarity: Tests should be clear and self-documenting
Test Performance: Tests should be fast and efficient
Test Maintainability: Tests should be easy to maintain

11.2 Test Categories¶

Unit Tests¶

Test individual classes and methods
Test in isolation
Fast execution

Integration Tests¶

Test interactions between classes
Test module integration
Moderate execution time

Regression Tests¶

Test against known bugs
Prevent regressions
Continuous execution

Performance Tests¶

Test performance characteristics
Identify bottlenecks
Periodic execution

11.3 Test Scenarios¶

Entity Tests¶

Positive Tests¶

Create entity with valid data
Initialize entity with valid state
Activate entity
Deactivate entity
Clone entity
Observe entity
Validate entity
Serialize entity
Deserialize entity
Update entity state
Add property
Remove property
Add relationship
Remove relationship
Add constraint
Remove constraint

Negative Tests¶

Create entity with invalid name
Create entity with invalid type
Initialize entity with invalid state
Activate entity with violated constraints
Clone non-cloneable entity
Serialize non-serializable entity
Deserialize invalid data
Update state with invalid state
Add duplicate property
Remove non-existent property
Add invalid relationship
Remove non-existent relationship
Add violated constraint
Remove non-existent constraint

Boundary Tests¶

Create entity with empty name
Create entity with maximum length name
Add maximum number of properties
Add maximum number of relationships
Add maximum number of constraints
Update state with maximum size data

Validation Tests¶

Validate entity with invalid ID
Validate entity with invalid state
Validate entity with invalid properties
Validate entity with invalid relationships
Validate entity with violated constraints

Serialization Tests¶

Serialize to JSON
Serialize to YAML
Serialize to MessagePack
Serialize to Binary
Deserialize from JSON
Deserialize from YAML
Deserialize from MessagePack
Deserialize from Binary
Serialize with version compatibility
Deserialize with version compatibility

Performance Tests¶

Create 1000 entities
Clone 1000 entities
Serialize 1000 entities
Deserialize 1000 entities
Update state 1000 times
Validate 1000 entities

System Tests¶

Positive Tests¶

Create system with valid data
Add entity to system
Remove entity from system
Get entity from system
List entities in system
Validate system
Serialize system
Deserialize system

Negative Tests¶

Create system with invalid name
Add duplicate entity to system
Remove non-existent entity
Get non-existent entity
Validate invalid system

Boundary Tests¶

Add maximum number of entities
List entities with complex filters

State Tests¶

Positive Tests¶

Create state with valid data
Compare states
Clone state
Validate state
Serialize state
Deserialize state
Apply transformation

Negative Tests¶

Create state with invalid data
Compare incompatible states
Clone non-cloneable state
Apply invalid transformation

Interaction Tests¶

Positive Tests¶

Create interaction with valid data
Add participant
Remove participant
Execute interaction
Validate interaction
Serialize interaction
Deserialize interaction

Negative Tests¶

Create interaction with invalid data
Execute interaction with invalid participants
Execute interaction with violated constraints

Identity Tests¶

Positive Tests¶

Create identity with valid data
Validate identity
Compare identities
Serialize identity
Deserialize identity

Negative Tests¶

Create identity with invalid data
Create duplicate identity

Property Tests¶

Positive Tests¶

Create property with valid data
Validate property
Set value
Get value
Serialize property
Deserialize property

Negative Tests¶

Create property with invalid data
Set invalid value

Attribute Tests¶

Positive Tests¶

Create attribute with valid data
Validate attribute
Compare attributes
Convert attribute
Serialize attribute
Deserialize attribute

Negative Tests¶

Create attribute with invalid data
Convert to incompatible type

Behaviour Tests¶

Positive Tests¶

Create behaviour with valid data
Execute behaviour
Validate behaviour
Serialize behaviour
Deserialize behaviour

Negative Tests¶

Create behaviour with invalid data
Execute behaviour with violated preconditions

Relationship Tests¶

Positive Tests¶

Create relationship with valid data
Validate relationship
Activate relationship
Deactivate relationship
Serialize relationship
Deserialize relationship

Negative Tests¶

Create relationship with invalid data
Create relationship with invalid endpoints
Activate invalid relationship

Constraint Tests¶

Positive Tests¶

Create constraint with valid data
Evaluate constraint
Validate constraint
Serialize constraint
Deserialize constraint

Negative Tests¶

Create constraint with invalid rule
Evaluate constraint with invalid context

Lifecycle Tests¶

Positive Tests¶

Create lifecycle with valid data
Transition to valid stage
Validate transition
Serialize lifecycle
Deserialize lifecycle

Negative Tests¶

Create lifecycle with invalid data
Transition to invalid stage
Transition from invalid stage

Event Tests¶

Positive Tests¶

Create event with valid data
Validate event
Serialize event
Deserialize event

Negative Tests¶

Create event with invalid data
Create event with invalid timestamp

Observation Tests¶

Positive Tests¶

Create observation with valid data
Validate observation
Compare observations
Serialize observation
Deserialize observation

Negative Tests¶

Create observation with invalid data
Create observation with invalid state

Knowledge Tests¶

Positive Tests¶

Create knowledge with valid data
Apply knowledge
Update knowledge
Validate knowledge
Serialize knowledge
Deserialize knowledge

Negative Tests¶

Create knowledge with invalid data
Apply knowledge with invalid context

Transformation Tests¶

Positive Tests¶

Create transformation with valid data
Apply transformation
Validate transformation
Serialize transformation
Deserialize transformation

Negative Tests¶

Create transformation with invalid data
Apply transformation with invalid state
Apply transformation with violated preconditions

Space Tests¶

Positive Tests¶

Create space with valid data
Validate space
Transform coordinates
Calculate distance
Serialize space
Deserialize space

Negative Tests¶

Create space with invalid dimension
Transform invalid coordinates
Calculate distance with invalid points

Time Tests¶

Positive Tests¶

Create time with valid data
Validate time
Compare times
Add time interval
Subtract time interval
Serialize time
Deserialize time

Negative Tests¶

Create time with invalid value
Compare incompatible times
Add incompatible intervals

12. Documentation Structure¶

12.1 Documentation Standards¶

Module Documentation¶

Purpose
Scientific Meaning
Responsibilities
Dependencies
Future Extensions

Class Documentation¶

Overview
Responsibilities
Design Rationale
Scientific Meaning
SDK Purpose

Method Documentation¶

Overview
Parameters
Return Type
Preconditions
Postconditions
Exceptions Raised
Example Usage

Attribute Documentation¶

Type
Purpose
Constraints
Default Value

12.2 Documentation Structure¶

docs/
├── foundation/
│   ├── README.md
│   ├── overview.md
│   ├── entity.md
│   ├── system.md
│   ├── state.md
│   ├── interaction.md
│   ├── identity.md
│   ├── property.md
│   ├── attribute.md
│   ├── behaviour.md
│   ├── relationship.md
│   ├── constraint.md
│   ├── lifecycle.md
│   ├── event.md
│   ├── observation.md
│   ├── knowledge.md
│   ├── transformation.md
│   ├── space.md
│   ├── time.md
│   ├── interfaces.md
│   ├── protocols.md
│   ├── enums.md
│   ├── validators.md
│   ├── serializers.md
│   ├── factories.md
│   ├── exceptions.md
│   ├── constants.md
│   ├── types.md
│   ├── examples.md
│   └── api-reference.md

12.3 Documentation Content¶

Overview¶

High-level introduction to the Foundation package
Key concepts and philosophy
Usage scenarios

Module Documentation¶

Detailed documentation for each module
Class diagrams
Sequence diagrams
Examples

API Reference¶

Complete API reference
Method signatures
Parameter descriptions
Return types
Exceptions

Examples¶

Code examples for common use cases
Best practices
Patterns and anti-patterns

Developer Notes¶

Implementation considerations
Performance considerations
Extension guidelines

13. Future Roadmap for Foundation Package¶

13.1 Phase 1: Core Implementation (R0.3.0)¶

Timeline: 3 months

Goals: - Implement all abstract classes as concrete base classes - Implement all interfaces - Implement basic validators - Implement basic serializers (JSON, YAML) - Implement basic factories - Implement exception hierarchy - Implement enum definitions - Implement type definitions

Deliverables: - Fully implemented foundation package - Unit tests for all modules - Integration tests - Documentation

13.2 Phase 2: Advanced Features (R0.4.0)¶

Timeline: 3 months

Goals: - Implement advanced validators - Implement advanced serializers (MessagePack, Binary, Protocol Buffers) - Implement advanced factories - Implement validation composition - Implement serialization composition - Implement performance optimizations - Implement caching mechanisms

Deliverables: - Advanced validation system - Advanced serialization system - Performance benchmarks - Optimization documentation

13.3 Phase 3: Cross-Language Support (R0.5.0)¶

Timeline: 6 months

Goals: - Design C++ implementation - Design Rust implementation - Design Java implementation - Design Go implementation - Design Julia implementation - Implement language bindings - Implement cross-language serialization

Deliverables: - Language-specific design documents - Cross-language serialization format - Language bindings - Cross-language tests

13.4 Phase 4: Distributed Systems (R0.6.0)¶

Timeline: 6 months

Goals: - Implement distributed entity synchronization - Implement distributed state consistency - Implement distributed constraint satisfaction - Implement distributed interaction coordination - Implement distributed observation collection - Implement distributed knowledge sharing

Deliverables: - Distributed entity system - Distributed state management - Distributed constraint system - Distributed interaction system - Distributed observation system - Distributed knowledge system

13.5 Phase 5: Advanced Features (R1.0.0)¶

Timeline: 12 months

Goals: - Implement entity versioning and migration - Implement entity composition patterns - Implement system composition patterns - Implement interaction composition patterns - Implement constraint optimization - Implement constraint learning - Implement behavior learning - Implement knowledge refinement - Implement knowledge transfer - Implement space composition - Implement time composition - Implement advanced lifecycle management

Deliverables: - Advanced entity system - Advanced system system - Advanced interaction system - Advanced constraint system - Advanced behavior system - Advanced knowledge system - Advanced space system - Advanced time system - Advanced lifecycle system

13.6 Phase 6: Performance and Scalability (R1.1.0)¶

Timeline: 6 months

Goals: - Implement performance optimizations - Implement scalability improvements - Implement memory optimizations - Implement CPU optimizations - Implement I/O optimizations - Implement network optimizations - Implement distributed optimizations

Deliverables: - Performance benchmarks - Scalability benchmarks - Optimization documentation - Performance tuning guide

13.7 Phase 7: Security and Compliance (R1.2.0)¶

Timeline: 6 months

Goals: - Implement security features - Implement encryption - Implement authentication - Implement authorization - Implement auditing - Implement compliance features - Implement privacy features

Deliverables: - Security documentation - Compliance documentation - Security tests - Compliance tests

Conclusion¶

This specification provides a complete architecture for the QuantsMind SDK Foundation Package. The Foundation Package serves as the universal ontology underlying all domain packages in the SDK, providing a coherent model for representing entities, systems, states, interactions, and their evolution over space and time.

The specification includes:

Complete package tree structure
Detailed module descriptions
Comprehensive class specifications
Interface specifications
Method contracts
Exception hierarchy
Event hierarchy
Validation strategy
Serialization strategy
UML descriptions
Testing strategy
Documentation structure
Future roadmap

This specification is designed to be language-independent and can be implemented in Python, C++, Rust, Java, Go, Julia, and other languages. It provides a solid foundation for building a universal scientific computing SDK that can support quantum computing, physics, chemistry, biology, astronomy, cosmology, finance, AI, and other scientific domains.