diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..f97dab7 --- /dev/null +++ b/.gitignore @@ -0,0 +1,20 @@ +# Python +__pycache__/ +*.pyc +*.pyo +*.pyd +*.pyz +.pytest_cache/ +.venv/ +*.egg-info/ +dist/ +build/ + +# IDE +.vscode/ +.idea/ +*.swp +*.swo + +# Nix +result/ diff --git a/.woodpecker.yml b/.woodpecker.yml index 51b66d4..b46a7f6 100644 --- a/.woodpecker.yml +++ b/.woodpecker.yml @@ -5,9 +5,9 @@ steps: - name: lint-and-test image: python:3.12-slim commands: - - pip install --break-system-packages ruff pytest asyncpg redis aiosqlite pyyaml + - pip install --break-system-packages ruff pytest asyncpg redis aiosqlite pyyaml pydantic - ruff check src/dcos/ - - pytest tests/test_memory/ tests/test_core/ -x --tb=short -q || true + - PYTHONPATH=src:$PYTHONPATH pytest tests/ -x --tb=short -q when: event: push diff --git a/flake.nix b/flake.nix index 28e787d..d7b0577 100644 --- a/flake.nix +++ b/flake.nix @@ -10,25 +10,34 @@ flake-utils.lib.eachDefaultSystem (system: let pkgs = nixpkgs.legacyPackages.${system}; - python = pkgs.python311; - pythonPackages = pkgs.python311Packages; + python = pkgs.python312; + pythonPackages = pkgs.python312Packages; in { packages.default = pythonPackages.buildPythonPackage { pname = "dcos"; version = "1.0.0"; src = ./.; - nativeBuildInputs = with pkgs; [ + nativeBuildInputs = with pythonPackages; [ python - pyyaml + setuptools + wheel ]; propagatedBuildInputs = with pythonPackages; [ pyyaml + pydantic ]; - doCheck = false; - format = "pyproject"; + doCheck = true; + checkInputs = with pythonPackages; [ + pytest + pytest-asyncio + ]; + checkPhase = '' + pytest tests/ -x --tb=short -q + ''; pyproject = true; pyprojectFiles = [ "pyproject.toml" ]; makeWheel = true; + packageDir = "src"; }; devShells.default = pkgs.mkShell { @@ -38,10 +47,12 @@ pythonPackages.pytest pythonPackages.pytest-asyncio pythonPackages.pyyaml + pythonPackages.pydantic + pythonPackages.ruff ]; shellHook = '' - export PYTHONPATH="${toString (builtins.toPath ./src)}:$PYTHONPATH" - echo "DCOS dev shell — Python 3.11, pytest, pyyaml" + export PYTHONPATH="${toString ./src}:$PYTHONPATH" + echo "DCOS dev shell — Python 3.12, pytest, pyyaml, pydantic" ''; }; }); diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..8e63336 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,38 @@ +[build-system] +requires = ["setuptools>=64", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "dcos" +version = "1.0.0" +description = "Distributed Cognitive Operating System — multi-agent cognitive architecture" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "pyyaml>=6.0", + "pydantic>=2.0", +] +[project.optional-dependencies] +dev = [ + "pytest>=7.0", + "pytest-asyncio>=0.21", + "pytest-cov>=4.0", + "ruff>=0.1", +] + +[project.scripts] +dcos = "dcos.utils.cli:main" + +[tool.setuptools.packages.find] +where = ["src"] + +[tool.ruff] +line-length = 100 +target-version = "py311" + +[tool.ruff.lint] +select = ["E", "F", "W", "I"] + +[tool.pytest.ini_options] +testpaths = ["tests"] +pythonpath = ["src"] diff --git a/src/dcos/__init__.py b/src/dcos/__init__.py new file mode 100644 index 0000000..f976752 --- /dev/null +++ b/src/dcos/__init__.py @@ -0,0 +1,56 @@ +""" +DCOS — Distributed Cognitive Operating System +A multi-agent cognitive architecture for distributed intelligence. +""" + +__version__ = "1.0.0" +__author__ = "Celes Renata" + +from .agents.base import Agent, AgentFactory, Spawner, SelfOrganizingMixin, Innovator +from .agents.planning import PlanningAgent +from .agents.research import ResearchAgent +from .agents.logic import LogicAgent +from .agents.creative import CreativeAgent +from .agents.ethics import EthicsAgent +from .agents.simulation import SimulationAgent +from .agents.domain import DomainExpertAgent +from .communication.protocol import CommunicationProtocol +from .communication.network import CommunicationNetwork +from .communication.router import MessageRouter +from .communication.resolver import AddressResolver +from .core.scheduler import TaskScheduler +from .core.coordinator import AgentCoordinator +from .core.registry import AgentRegistry +from .core.allocator import ResourceAllocator +from .learning.engine import LearningEngine +from .memory.working import WorkingMemory +from .memory.conversation import ConversationMemory +from .memory.long_term import LongTermMemory +from .memory.semantic import SemanticMemory +from .memory.episodic import EpisodicMemory +from .memory.procedural import ProceduralMemory +from .memory.user_model import UserModel +from .memory.world_model import WorldModel +from .memory.memory_facade import MemoryFacade +from .protocols.user_interface import UserInterface +from .protocols.external_tools import ExternalTools +from .predict import OutcomePredictor +from .risk import RiskAssessor +from .scenarios import ScenarioEngine +from .utils.config import ConfigManager +from .utils.cli import main as cli_main + +__all__ = [ + "Agent", "AgentFactory", "Spawner", "SelfOrganizingMixin", "Innovator", + "PlanningAgent", "ResearchAgent", "LogicAgent", "CreativeAgent", + "EthicsAgent", "SimulationAgent", "DomainExpertAgent", + "CommunicationProtocol", "CommunicationNetwork", "MessageRouter", "AddressResolver", + "TaskScheduler", "AgentCoordinator", "AgentRegistry", "ResourceAllocator", + "LearningEngine", + "WorkingMemory", "ConversationMemory", "LongTermMemory", + "SemanticMemory", "EpisodicMemory", "ProceduralMemory", + "UserModel", "WorldModel", "MemoryFacade", + "UserInterface", "ExternalTools", + "OutcomePredictor", "RiskAssessor", "ScenarioEngine", + "ConfigManager", "cli_main", +] diff --git a/src/dcos/__main__.py b/src/dcos/__main__.py new file mode 100644 index 0000000..05a99da --- /dev/null +++ b/src/dcos/__main__.py @@ -0,0 +1,9 @@ +""" +DCOS entry point — invoked via `python -m dcos`. +""" + +import sys +from .utils.cli import main + +if __name__ == "__main__": + sys.exit(main()) diff --git a/src/dcos/agents/__init__.py b/src/dcos/agents/__init__.py new file mode 100644 index 0000000..0d7032e --- /dev/null +++ b/src/dcos/agents/__init__.py @@ -0,0 +1,18 @@ +""" +Agent subsystem — provides base agent abstractions and specialized agent types. +""" + +from .base import Agent, AgentFactory, Spawner, SelfOrganizingMixin, Innovator +from .planning import PlanningAgent +from .research import ResearchAgent +from .logic import LogicAgent +from .creative import CreativeAgent +from .ethics import EthicsAgent +from .simulation import SimulationAgent +from .domain import DomainExpertAgent + +__all__ = [ + "Agent", "AgentFactory", "Spawner", "SelfOrganizingMixin", "Innovator", + "PlanningAgent", "ResearchAgent", "LogicAgent", "CreativeAgent", + "EthicsAgent", "SimulationAgent", "DomainExpertAgent", +] diff --git a/src/dcos/agents/__pycache__/__init__.cpython-312.pyc b/src/dcos/agents/__pycache__/__init__.cpython-312.pyc new file 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ETHICIST = "ethicist" + SIMULATOR = "simulator" + DOMAIN_EXPERT = "domain_expert" + + +@dataclass +class AgentIdentity: + id: str = field(default_factory=lambda: uuid4().hex[:16]) + name: str = "" + role: AgentRole = AgentRole.PLANNER + version: str = "1.0.0" + + +class Agent: + """ + Base class for all DCOS agents. + Provides identity, state management, and communication primitives. + """ + + def __init__(self, name: str, role: AgentRole = AgentRole.PLANNER) -> None: + self.identity = AgentIdentity(name=name, role=role) + self._state: Dict[str, Any] = {} + self._capabilities: List[str] = [] + self._peers: Dict[str, "Agent"] = {} + + def register_capability(self, capability: str) -> None: + self._capabilities.append(capability) + + def get_capabilities(self) -> List[str]: + return list(self._capabilities) + + def set_state(self, key: str, value: Any) -> None: + self._state[key] = value + + def get_state(self, key: str) -> Optional[Any]: + return self._state.get(key) + + def connect_to(self, peer: "Agent") -> None: + self._peers[peer.identity.id] = peer + + def send_message(self, recipient_id: str, message: Any) -> bool: + if recipient_id in self._peers: + return True + return False + + def receive_message(self, sender_id: str, message: Any) -> None: + pass + + def act(self, context: Dict[str, Any]) -> Any: + """Perform the agent's primary action based on context.""" + raise NotImplementedError("Subclasses must implement act()") + + +class AgentFactory: + """Factory for creating agents with dependency injection.""" + + _registry: Dict[str, Type[Agent]] = {} + + @classmethod + def register(cls, name: str, agent_class: Type[Agent]) -> None: + cls._registry[name] = agent_class + + @classmethod + def create(cls, name: str, role: AgentRole, **kwargs: Any) -> Agent: + agent_class = cls._registry.get(name, Agent) + return agent_class(name=name, role=role, **kwargs) + + +class Spawner: + """Manages agent lifecycle — spawn, suspend, resume, terminate.""" + + def __init__(self) -> None: + self._agents: Dict[str, Agent] = {} + self._max_agents: int = 100 + + def spawn(self, agent: Agent) -> str: + if len(self._agents) >= self._max_agents: + raise RuntimeError("Agent pool full") + self._agents[agent.identity.id] = agent + return agent.identity.id + + def terminate(self, agent_id: str) -> bool: + return agent_id in self._agents and bool(self._agents.pop(agent_id, None)) + + def get_active_agents(self) -> List[Agent]: + return list(self._agents.values()) + + +class SelfOrganizingMixin: + """Mixin for agents that can self-organize into hierarchies.""" + + def __init__(self) -> None: + self._parent: Optional[Agent] = None + self._children: Dict[str, Agent] = {} + + def adopt(self, child: Agent) -> None: + self._children[child.identity.id] = child + + def delegate(self, task: Any) -> Optional[Agent]: + if not self._children: + return None + return next(iter(self._children.values())) + + +class Innovator: + """Capability for generating novel solutions.""" + + def __init__(self) -> None: + self._innovation_history: List[Dict[str, Any]] = [] + + def innovate(self, problem: Dict[str, Any]) -> Dict[str, Any]: + solution = { + "problem": problem, + "approach": "cross-domain_synthesis", + "novelty_score": 0.7, + "solution": "generated_novel_solution", + } + self._innovation_history.append(solution) + return solution diff --git a/src/dcos/agents/creative.py b/src/dcos/agents/creative.py new file mode 100644 index 0000000..ce69dfe --- /dev/null +++ b/src/dcos/agents/creative.py @@ -0,0 +1,32 @@ +""" +Creative agent — generates novel ideas, metaphors, and creative solutions. +""" + +from __future__ import annotations +from typing import Any, Dict, List +from .base import Agent, AgentRole + + +class CreativeAgent(Agent): + """Idea generation and creative problem-solving agent.""" + + def __init__(self, name: str = "creative") -> None: + super().__init__(name, AgentRole.CREATIVE) + self._creations: List[Dict[str, Any]] = [] + self.register_capability("idea_generation") + self.register_capability("analogical_reasoning") + + def act(self, context: Dict[str, Any]) -> Dict[str, Any]: + prompt = context.get("prompt", "generate") + idea = self.generate(prompt) + return {"idea": idea, "originality_score": 0.8} + + def generate(self, prompt: str) -> Dict[str, Any]: + idea = { + "title": f"Creative concept for: {prompt}", + "description": "A novel approach using cross-domain synthesis", + "novelty": 0.85, + "feasibility": 0.6, + } + self._creations.append(idea) + return idea diff --git a/src/dcos/agents/domain.py b/src/dcos/agents/domain.py new file mode 100644 index 0000000..2f6e7c3 --- /dev/null +++ b/src/dcos/agents/domain.py @@ -0,0 +1,28 @@ +""" +Domain expert agent — provides specialized knowledge in specific domains. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from .base import Agent, AgentRole + + +class DomainExpertAgent(Agent): + """Specialized agent with deep knowledge in a particular domain.""" + + def __init__(self, name: str = "domain_expert", domain: str = "general") -> None: + super().__init__(name, AgentRole.DOMAIN_EXPERT) + self.domain = domain + self._knowledge_base: Dict[str, Any] = {} + self.register_capability(f"domain_knowledge_{domain}") + + def act(self, context: Dict[str, Any]) -> Dict[str, Any]: + question = context.get("question", "") + answer = self.answer(question) + return {"domain": self.domain, "answer": answer} + + def answer(self, question: str) -> str: + return f"[{self.domain}] Response to: {question}" + + def add_knowledge(self, key: str, value: Any) -> None: + self._knowledge_base[key] = value diff --git a/src/dcos/agents/ethics.py b/src/dcos/agents/ethics.py new file mode 100644 index 0000000..bd3c331 --- /dev/null +++ b/src/dcos/agents/ethics.py @@ -0,0 +1,47 @@ +""" +Ethics agent — ensures actions align with ethical guidelines and constraints. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Tuple +from .base import Agent, AgentRole +from enum import Enum + + +class EthicalConstraint(Enum): + BENEFICENCE = "beneficence" + NON_MALEFICENCE = "non_maleficence" + AUTONOMY = "autonomy" + JUSTICE = "justice" + EXPLICABILITY = "explicability" + + +class EthicsAgent(Agent): + """Ethical overseer that validates actions against ethical principles.""" + + def __init__(self, name: str = "ethicist") -> None: + super().__init__(name, AgentRole.ETHICIST) + self._constraints: List[EthicalConstraint] = list(EthicalConstraint) + self.register_capability("ethical_validation") + self.register_capability("value_alignment") + + def act(self, context: Dict[str, Any]) -> Dict[str, Any]: + action = context.get("action", "") + violations = self.validate(action) + return { + "action": action, + "ethical": len(violations) == 0, + "violations": violations, + } + + def validate(self, action: str) -> List[str]: + violations = [] + if "deceive" in action.lower(): + violations.append("autonomy_violation") + if "harm" in action.lower(): + violations.append("non_maleficence_violation") + return violations + + def add_constraint(self, constraint: EthicalConstraint) -> None: + if constraint not in self._constraints: + self._constraints.append(constraint) diff --git a/src/dcos/agents/logic.py b/src/dcos/agents/logic.py new file mode 100644 index 0000000..e10ccc9 --- /dev/null +++ b/src/dcos/agents/logic.py @@ -0,0 +1,30 @@ +""" +Logic agent — performs reasoning, inference, and logical analysis. +""" + +from __future__ import annotations +from typing import Any, Dict, List +from .base import Agent, AgentRole + + +class LogicAgent(Agent): + """Deductive and inductive reasoner for logical analysis.""" + + def __init__(self, name: str = "logician") -> None: + super().__init__(name, AgentRole.LOGICIAN) + self._inferences: List[str] = [] + self.register_capability("logical_reasoning") + self.register_capability("contradiction_detection") + + def act(self, context: Dict[str, Any]) -> Dict[str, Any]: + premises = context.get("premises", []) + conclusion = self.infer(premises) + return {"conclusion": conclusion, "valid": True} + + def infer(self, premises: List[str]) -> str: + if not premises: + return "insufficient_premises" + return f"inferred_from_{'_'.join(premises)}" + + def detect_contradiction(self, statements: List[str]) -> bool: + return False # Placeholder — real implementation would check logical consistency diff --git a/src/dcos/agents/planning.py b/src/dcos/agents/planning.py new file mode 100644 index 0000000..bfbcb53 --- /dev/null +++ b/src/dcos/agents/planning.py @@ -0,0 +1,41 @@ +""" +Planning agent — responsible for strategic planning and task decomposition. +""" + +from __future__ import annotations +from typing import Any, Dict, List +from .base import Agent, AgentRole + + +class PlanningAgent(Agent): + """Strategic planner that decomposes goals into actionable tasks.""" + + def __init__(self, name: str = "planner") -> None: + super().__init__(name, AgentRole.PLANNER) + self._plans: List[Dict[str, Any]] = [] + self.register_capability("strategic_planning") + self.register_capability("task_decomposition") + + def act(self, context: Dict[str, Any]) -> Dict[str, Any]: + goal = context.get("goal", "undefined") + return { + "plan": f"Plan for: {goal}", + "steps": [ + {"step": 1, "action": "analyze", "agent": "researcher"}, + {"step": 2, "action": "synthesize", "agent": "logician"}, + {"step": 3, "action": "create", "agent": "creative"}, + {"step": 4, "action": "validate", "agent": "ethicist"}, + {"step": 5, "action": "simulate", "agent": "simulator"}, + ], + "estimated_duration": 5, + } + + def decompose(self, goal: str) -> List[Dict[str, Any]]: + tasks = [ + {"id": "research", "depends_on": []}, + {"id": "analysis", "depends_on": ["research"]}, + {"id": "generation", "depends_on": ["analysis"]}, + {"id": "validation", "depends_on": ["generation"]}, + ] + self._plans.append({"goal": goal, "tasks": tasks}) + return tasks diff --git a/src/dcos/agents/research.py b/src/dcos/agents/research.py new file mode 100644 index 0000000..7d1f55c --- /dev/null +++ b/src/dcos/agents/research.py @@ -0,0 +1,33 @@ +""" +Research agent — gathers and synthesizes information from multiple sources. +""" + +from __future__ import annotations +from typing import Any, Dict, List +from .base import Agent, AgentRole + + +class ResearchAgent(Agent): + """Information gatherer that synthesizes data from multiple sources.""" + + def __init__(self, name: str = "researcher") -> None: + super().__init__(name, AgentRole.RESEARCHER) + self._findings: Dict[str, Any] = {} + self.register_capability("information_gathering") + self.register_capability("cross_referencing") + + def act(self, context: Dict[str, Any]) -> Dict[str, Any]: + query = context.get("query", "general") + return { + "findings": [f"Result for: {query}"], + "confidence": 0.85, + "sources": ["internal_knowledge", "external_apis"], + } + + def research(self, topic: str, depth: int = 1) -> Dict[str, Any]: + return { + "topic": topic, + "summary": f"Research summary on {topic}", + "key_findings": [f"Finding {i} for {topic}" for i in range(depth)], + "confidence": 0.75, + } diff --git a/src/dcos/agents/simulation.py b/src/dcos/agents/simulation.py new file mode 100644 index 0000000..f68319b --- /dev/null +++ b/src/dcos/agents/simulation.py @@ -0,0 +1,33 @@ +""" +Simulation agent — runs simulations to test scenarios and predict outcomes. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from .base import Agent, AgentRole + + +class SimulationAgent(Agent): + """Agent that models and runs simulations of complex systems.""" + + def __init__(self, name: str = "simulator") -> None: + super().__init__(name, AgentRole.SIMULATOR) + self._simulations: List[Dict[str, Any]] = [] + self.register_capability("scenario_simulation") + self.register_capability("monte_carlo_forecasting") + + def act(self, context: Dict[str, Any]) -> Dict[str, Any]: + scenario = context.get("scenario", "default") + result = self.simulate(scenario) + return {"result": result, "iterations": 1000} + + def simulate(self, scenario: str, iterations: int = 100) -> Dict[str, Any]: + result = { + "scenario": scenario, + "success_probability": 0.72, + "mean_outcome": "positive", + "variance": 0.15, + "confidence_interval": (0.65, 0.85), + } + self._simulations.append(result) + return result diff --git a/src/dcos/communication/__init__.py b/src/dcos/communication/__init__.py new file mode 100644 index 0000000..51097e0 --- /dev/null +++ b/src/dcos/communication/__init__.py @@ -0,0 +1,15 @@ +""" +Communication subsystem — provides message passing, routing, and discovery. +""" + +from .protocol import CommunicationProtocol +from .network import CommunicationNetwork +from .router import MessageRouter +from .resolver import AddressResolver + +__all__ = [ + "CommunicationProtocol", + "CommunicationNetwork", + "MessageRouter", + 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+""" +Communication network — manages agent connectivity and message delivery. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from .protocol import Message, CommunicationProtocol + + +class CommunicationNetwork: + """Manages the topology and message delivery between agents.""" + + def __init__(self) -> None: + self._protocol = CommunicationProtocol() + self._connections: Dict[str, List[str]] = {} # agent_id -> [peer_ids] + self._message_log: List[Message] = [] + + def connect(self, agent_a: str, agent_b: str) -> None: + self._connections.setdefault(agent_a, []).append(agent_b) + self._connections.setdefault(agent_b, []).append(agent_a) + + def disconnect(self, agent_a: str, agent_b: str) -> None: + for peer in (agent_a, agent_b): + if peer in self._connections: + self._connections[peer] = [ + p for p in self._connections[peer] if p != agent_b + ] + + def deliver(self, message: Message) -> bool: + if message.recipient in self._connections.get(message.sender, []): + self._message_log.append(message) + return self._protocol.send(message) + return False + + def broadcast(self, sender: str, payload: Any) -> int: + peers = self._connections.get(sender, []) + for peer in peers: + msg = Message(sender=sender, recipient=peer, payload=payload) + self._message_log.append(msg) + return len(peers) + + def get_peers(self, agent_id: str) -> List[str]: + return self._connections.get(agent_id, []) + + def get_message_log(self, limit: int = 100) -> List[Message]: + return self._message_log[-limit:] diff --git a/src/dcos/communication/protocol.py b/src/dcos/communication/protocol.py new file mode 100644 index 0000000..b14f343 --- /dev/null +++ b/src/dcos/communication/protocol.py @@ -0,0 +1,53 @@ +""" +Communication protocol — defines message formats and delivery semantics. +""" + +from __future__ import annotations +from typing import Any, Dict, Optional +from dataclasses import dataclass, field +from datetime import datetime +from uuid import uuid4 + + +@dataclass +class Message: + sender: str + recipient: str + payload: Any + msg_id: str = field(default_factory=lambda: uuid4().hex) + timestamp: datetime = field(default_factory=datetime.now) + ttl: int = 60 # seconds + priority: int = 0 + + +class CommunicationProtocol: + """Defines the message format, encoding, and delivery guarantees.""" + + def __init__(self) -> None: + self._pending: Dict[str, Message] = {} + + def encode(self, message: Message) -> Dict[str, Any]: + return { + "sender": message.sender, + "recipient": message.recipient, + "payload": message.payload, + "msg_id": message.msg_id, + "timestamp": message.timestamp.isoformat(), + "ttl": message.ttl, + "priority": message.priority, + } + + def decode(self, data: Dict[str, Any]) -> Message: + return Message( + sender=data["sender"], + recipient=data["recipient"], + payload=data["payload"], + msg_id=data.get("msg_id", uuid4().hex), + ) + + def send(self, message: Message) -> bool: + self._pending[message.msg_id] = message + return True + + def ack(self, msg_id: str) -> Optional[Message]: + return self._pending.pop(msg_id, None) diff --git a/src/dcos/communication/resolver.py b/src/dcos/communication/resolver.py new file mode 100644 index 0000000..563a8e2 --- /dev/null +++ b/src/dcos/communication/resolver.py @@ -0,0 +1,32 @@ +""" +Address resolver — resolves agent names/roles to their network addresses. +""" + +from __future__ import annotations +from typing import Dict, List, Optional + + +class AddressResolver: + """Resolves symbolic agent names and roles to concrete agent IDs.""" + + def __init__(self) -> None: + self._name_table: Dict[str, str] = {} # name -> agent_id + self._role_table: Dict[str, List[str]] = {} # role -> [agent_ids] + + def register(self, name: str, agent_id: str, role: Optional[str] = None) -> None: + self._name_table[name] = agent_id + if role: + self._role_table.setdefault(role, []).append(agent_id) + + def resolve_by_name(self, name: str) -> Optional[str]: + return self._name_table.get(name) + + def resolve_by_role(self, role: str) -> List[str]: + return self._role_table.get(role, []) + + def unregister(self, name: str) -> Optional[str]: + agent_id = self._name_table.pop(name, None) + if agent_id: + for role, ids in self._role_table.items(): + self._role_table[role] = [i for i in ids if i != agent_id] + return agent_id diff --git a/src/dcos/communication/router.py b/src/dcos/communication/router.py new file mode 100644 index 0000000..a955ef7 --- /dev/null +++ b/src/dcos/communication/router.py @@ -0,0 +1,34 @@ +""" +Message router — directs messages to the correct recipient based on routing rules. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from .protocol import Message + + +class MessageRouter: + """Routes messages between agents based on content, role, or address.""" + + def __init__(self) -> None: + self._routes: Dict[str, str] = {} # routing_key -> agent_id + self._fallback: Optional[str] = None + + def register(self, routing_key: str, agent_id: str) -> None: + self._routes[routing_key] = agent_id + + def unregister(self, routing_key: str) -> Optional[str]: + return self._routes.pop(routing_key, None) + + def route(self, message: Message) -> Optional[str]: + payload_str = str(message.payload) + for key, agent_id in self._routes.items(): + if key in payload_str: + return agent_id + return self._fallback + + def set_fallback(self, agent_id: str) -> None: + self._fallback = agent_id + + def get_registered_routes(self) -> Dict[str, str]: + return dict(self._routes) diff --git a/src/dcos/core/__init__.py b/src/dcos/core/__init__.py new file mode 100644 index 0000000..36ab6dd --- /dev/null +++ b/src/dcos/core/__init__.py @@ -0,0 +1,15 @@ +""" +Core subsystem — scheduling, coordination, registry, and resource allocation. +""" + +from .scheduler import TaskScheduler +from .coordinator import AgentCoordinator +from .registry import AgentRegistry 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agents. +""" + +from __future__ import annotations +from typing import Dict, List, Optional, Tuple + + +class ResourceAllocator: + """Allocates system resources (compute, memory, bandwidth) among agents.""" + + def __init__(self) -> None: + self._total_cpu: float = 100.0 + self._total_memory: float = 1024.0 + self._allocations: Dict[str, Dict[str, float]] = {} + + def allocate(self, agent_id: str, cpu: float, memory: float) -> bool: + if cpu <= 0 or memory <= 0: + return False + remaining_cpu = self._total_cpu - sum( + a.get("cpu", 0) for a in self._allocations.values() + ) + remaining_memory = self._total_memory - sum( + a.get("memory", 0) for a in self._allocations.values() + ) + if cpu > remaining_cpu or memory > remaining_memory: + return False + self._allocations[agent_id] = {"cpu": cpu, "memory": memory} + return True + + def release(self, agent_id: str) -> bool: + return agent_id in self._allocations and bool( + self._allocations.pop(agent_id, None) + ) + + def get_allocation(self, agent_id: str) -> Dict[str, float]: + return self._allocations.get(agent_id, {"cpu": 0.0, "memory": 0.0}) + + def utilization(self) -> Dict[str, float]: + total_cpu = sum(a.get("cpu", 0) for a in self._allocations.values()) + total_mem = sum(a.get("memory", 0) for a in self._allocations.values()) + return { + "cpu": total_cpu / self._total_cpu, + "memory": total_mem / self._total_memory, + } diff --git a/src/dcos/core/coordinator.py b/src/dcos/core/coordinator.py new file mode 100644 index 0000000..e601730 --- /dev/null +++ b/src/dcos/core/coordinator.py @@ -0,0 +1,38 @@ +""" +Agent coordinator — orchestrates multi-agent workflows and collaboration. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from datetime import datetime + + +class AgentCoordinator: + """Coordinates multiple agents to work on complex tasks collaboratively.""" + + def __init__(self) -> None: + self._workflows: Dict[str, List[str]] = {} # workflow_id -> [agent_ids] + self._active: Dict[str, Dict[str, Any]] = {} + + def create_workflow(self, workflow_id: str, agent_ids: List[str]) -> None: + self._workflows[workflow_id] = agent_ids + self._active[workflow_id] = { + "status": "created", + "created_at": datetime.now().isoformat(), + } + + def assign_task(self, workflow_id: str, agent_id: str, task: Any) -> bool: + workflow = self._workflows.get(workflow_id) + if workflow and agent_id in workflow: + self._active.setdefault(workflow_id, {})["current_task"] = str(task) + return True + return False + + def get_workflow_status(self, workflow_id: str) -> Optional[Dict[str, Any]]: + return self._active.get(workflow_id) + + def complete_workflow(self, workflow_id: str) -> bool: + if workflow_id in self._active: + self._active[workflow_id]["status"] = "completed" + return True + return False diff --git a/src/dcos/core/registry.py b/src/dcos/core/registry.py new file mode 100644 index 0000000..953b932 --- /dev/null +++ b/src/dcos/core/registry.py @@ -0,0 +1,48 @@ +""" +Agent registry — maintains a directory of all active agents and their capabilities. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from dataclasses import dataclass, field + + +@dataclass +class AgentRecord: + agent_id: str + name: str + role: str + capabilities: List[str] = field(default_factory=list) + status: str = "active" + address: str = "" + + +class AgentRegistry: + """Directory of all agents in the system with their metadata.""" + + def __init__(self) -> None: + self._agents: Dict[str, AgentRecord] = {} + + def register(self, record: AgentRecord) -> None: + self._agents[record.agent_id] = record + + def unregister(self, agent_id: str) -> Optional[AgentRecord]: + return self._agents.pop(agent_id, None) + + def get(self, agent_id: str) -> Optional[AgentRecord]: + return self._agents.get(agent_id) + + def find_by_role(self, role: str) -> List[AgentRecord]: + return [a for a in self._agents.values() if a.role == role] + + def find_by_capability(self, capability: str) -> List[AgentRecord]: + return [ + a for a in self._agents.values() + if capability in a.capabilities + ] + + def list_active(self) -> List[AgentRecord]: + return [a for a in self._agents.values() if a.status == "active"] + + def count(self) -> int: + return len(self._agents) diff --git a/src/dcos/core/scheduler.py b/src/dcos/core/scheduler.py new file mode 100644 index 0000000..f87cf56 --- /dev/null +++ b/src/dcos/core/scheduler.py @@ -0,0 +1,81 @@ +""" +Task scheduler — manages task queuing, prioritization, and execution ordering. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from dataclasses import dataclass, field +from datetime import datetime +from enum import Enum +from uuid import uuid4 + + +class TaskStatus(Enum): + PENDING = "pending" + RUNNING = "running" + COMPLETED = "completed" + FAILED = "failed" + + +@dataclass +class Task: + id: str = field(default_factory=lambda: uuid4().hex) + name: str = "" + agent_id: str = "" + status: TaskStatus = TaskStatus.PENDING + priority: int = 0 + created_at: datetime = field(default_factory=datetime.now) + depends_on: List[str] = field(default_factory=list) + + +class TaskScheduler: + """Schedules and dispatches tasks to agents.""" + + def __init__(self) -> None: + self._queue: List[Task] = [] + self._running: List[Task] = [] + self._completed: List[Task] = [] + + def enqueue(self, task: Task) -> None: + self._queue.append(task) + self._queue.sort(key=lambda t: t.priority, reverse=True) + + def dequeue(self) -> Optional[Task]: + if not self._queue: + return None + # Find first task whose dependencies are met + for task in self._queue: + deps_met = all( + dep in [c.id for c in self._completed] + for dep in task.depends_on + ) + if deps_met: + self._queue.remove(task) + task.status = TaskStatus.RUNNING + self._running.append(task) + return task + return None + + def complete(self, task_id: str) -> bool: + for task in self._running: + if task.id == task_id: + self._running.remove(task) + task.status = TaskStatus.COMPLETED + self._completed.append(task) + return True + return False + + def fail(self, task_id: str) -> bool: + for task in self._running: + if task.id == task_id: + self._running.remove(task) + task.status = TaskStatus.FAILED + self._completed.append(task) + return True + return False + + def pending_count(self) -> int: + return len(self._queue) + + def running_count(self) -> int: + return len(self._running) diff --git a/src/dcos/learning/__init__.py b/src/dcos/learning/__init__.py new file mode 100644 index 0000000..0058503 --- /dev/null +++ b/src/dcos/learning/__init__.py @@ -0,0 +1,7 @@ +""" +Learning subsystem — provides reinforcement learning and model updates. +""" + +from .engine import LearningEngine + +__all__ = ["LearningEngine"] diff --git a/src/dcos/learning/__pycache__/__init__.cpython-312.pyc b/src/dcos/learning/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 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/dev/null +++ b/src/dcos/learning/engine.py @@ -0,0 +1,44 @@ +""" +Learning engine — reinforcement learning and model updates for agents. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from dataclasses import dataclass, field + + +@dataclass +class Experience: + state: Dict[str, Any] + action: str + reward: float + next_state: Optional[Dict[str, Any]] = None + + +class LearningEngine: + """Reinforcement learning engine that improves agent behavior over time.""" + + def __init__(self) -> None: + self._experiences: List[Experience] = [] + self._policy: Dict[str, float] = {} + + def record_experience(self, exp: Experience) -> None: + self._experiences.append(exp) + self._update_policy(exp) + + def _update_policy(self, exp: Experience) -> None: + current = self._policy.get(exp.action, 0.0) + self._policy[exp.action] = current + exp.reward * 0.1 + + def get_action_score(self, action: str) -> float: + return self._policy.get(action, 0.0) + + def best_action(self, actions: List[str]) -> Optional[str]: + if not actions: + return None + scored = [(a, self._policy.get(a, 0.0)) for a in actions] + scored.sort(key=lambda x: x[1], reverse=True) + return scored[0][0] + + def experience_count(self) -> int: + return len(self._experiences) diff --git a/src/dcos/memory/__init__.py b/src/dcos/memory/__init__.py new file mode 100644 index 0000000..14f132d --- /dev/null +++ b/src/dcos/memory/__init__.py @@ -0,0 +1,25 @@ +""" +Memory subsystem — multiple memory types and the unified facade. +""" + +from .working import WorkingMemory +from .conversation import ConversationMemory +from .long_term import LongTermMemory +from .semantic import SemanticMemory +from .episodic import EpisodicMemory +from .procedural import ProceduralMemory +from .user_model import UserModel +from .world_model import WorldModel +from .memory_facade import MemoryFacade + +__all__ = [ + "WorkingMemory", + "ConversationMemory", + "LongTermMemory", + "SemanticMemory", + 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turns: List[Turn] = field(default_factory=list) + created_at: datetime = field(default_factory=datetime.now) + + +class ConversationMemory: + """Stores dialogue history with turn-by-turn context.""" + + def __init__(self) -> None: + self._conversations: Dict[str, Conversation] = {} + + def create(self, conversation_id: str, participants: List[str]) -> Conversation: + conv = Conversation( + conversation_id=conversation_id, + participants=participants, + ) + self._conversations[conversation_id] = conv + return conv + + def add_turn(self, conversation_id: str, agent_id: str, content: str) -> Optional[Turn]: + conv = self._conversations.get(conversation_id) + if not conv: + return None + turn = Turn(agent_id=agent_id, content=content) + conv.turns.append(turn) + return turn + + def get_history(self, conversation_id: str) -> Optional[List[Turn]]: + conv = self._conversations.get(conversation_id) + if conv: + return conv.turns + return None + + def list_conversations(self) -> List[Conversation]: + return list(self._conversations.values()) diff --git a/src/dcos/memory/episodic.py b/src/dcos/memory/episodic.py new file mode 100644 index 0000000..662cd0c --- /dev/null +++ b/src/dcos/memory/episodic.py @@ -0,0 +1,48 @@ +""" +Episodic memory — stores past experiences as episodes with temporal context. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from dataclasses import dataclass, field +from datetime import datetime + + +@dataclass +class Episode: + timestamp: datetime + context: Dict[str, Any] + outcome: Any + summary: str = "" + + +class EpisodicMemory: + """Stores past experiences as episodes with full temporal context.""" + + def __init__(self) -> None: + self._episodes: List[Episode] = [] + self._max_episodes: int = 10000 + + def record(self, context: Dict[str, Any], outcome: Any, summary: str = "") -> Episode: + episode = Episode( + timestamp=datetime.now(), + context=context, + outcome=outcome, + summary=summary, + ) + self._episodes.append(episode) + if len(self._episodes) > self._max_episodes: + self._episodes.pop(0) + return episode + + def recall_recent(self, n: int = 10) -> List[Episode]: + return self._episodes[-n:] + + def search_by_context(self, key: str, value: Any) -> List[Episode]: + return [ + e for e in self._episodes + if e.context.get(key) == value + ] + + def episode_count(self) -> int: + return len(self._episodes) diff --git a/src/dcos/memory/long_term.py b/src/dcos/memory/long_term.py new file mode 100644 index 0000000..d90ba6c --- /dev/null +++ b/src/dcos/memory/long_term.py @@ -0,0 +1,50 @@ +""" +Long-term memory — persistent storage for important agent knowledge. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from datetime import datetime +from enum import Enum + + +class Importance(Enum): + LOW = "low" + MEDIUM = "medium" + HIGH = "high" + CRITICAL = "critical" + + +class LongTermMemory: + """Persistent memory for important knowledge with consolidation.""" + + def __init__(self) -> None: + self._store: Dict[str, Dict[str, Any]] = {} + + def commit(self, key: str, value: Any, importance: Importance = Importance.MEDIUM) -> None: + self._store[key] = { + "value": value, + "importance": importance.value, + "committed_at": datetime.now().isoformat(), + } + + def recall(self, key: str) -> Optional[Any]: + entry = self._store.get(key) + return entry["value"] if entry else None + + def consolidate(self, working_items: Dict[str, Any]) -> int: + """Consolidate important working memory items into long-term storage.""" + count = 0 + for key, value in working_items.items(): + if key not in self._store: + self.commit(key, value, Importance.LOW) + count += 1 + return count + + def search(self, query: str) -> List[Dict[str, Any]]: + results = [] + query_lower = query.lower() + for key, entry in self._store.items(): + if query_lower in key.lower(): + results.append({"key": key, **entry}) + return results diff --git a/src/dcos/memory/memory_facade.py b/src/dcos/memory/memory_facade.py new file mode 100644 index 0000000..24757d2 --- /dev/null +++ b/src/dcos/memory/memory_facade.py @@ -0,0 +1,69 @@ +""" +Memory facade — unified interface to all memory systems. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional + +from .working import WorkingMemory +from .conversation import ConversationMemory +from .long_term import LongTermMemory +from .semantic import SemanticMemory +from .episodic import EpisodicMemory +from .procedural import ProceduralMemory +from .user_model import UserModel +from .world_model import WorldModel + + +class MemoryFacade: + """ + Unified facade that provides a single access point to all memory types. + Coordinates memory operations across working, long-term, semantic, etc. + """ + + def __init__(self) -> None: + self.working = WorkingMemory() + self.conversation = ConversationMemory() + self.long_term = LongTermMemory() + self.semantic = SemanticMemory() + self.episodic = EpisodicMemory() + self.procedural = ProceduralMemory() + self.user_model = UserModel() + self.world_model = WorldModel() + + def remember(self, key: str, value: Any, importance: str = "low") -> None: + """Store in both working and long-term memory.""" + self.working.store(key, value) + if importance in ("high", "critical"): + from .long_term import Importance + self.long_term.commit(key, value, Importance(importance)) + + def recall(self, key: str) -> Optional[Any]: + """Retrieve from working, then long-term.""" + value = self.working.recall(key) + if value is not None: + return value + return self.long_term.recall(key) + + def search(self, query: str) -> Dict[str, List[Any]]: + """Cross-memory search.""" + return { + "working": [self.working.recall(query)], + "long_term": self.long_term.search(query), + "semantic": self.semantic.get_related(query), + } + + def consolidate(self) -> int: + """Move important working items to long-term storage.""" + working_items = { + k: v["value"] + for k, v in self.working._items.items() + } + return self.long_term.consolidate(working_items) + + def summary(self) -> Dict[str, int]: + return { + "working": self.working.size(), + "episodic": self.episodic.episode_count(), + "long_term": len(self.long_term._store), + } diff --git a/src/dcos/memory/procedural.py b/src/dcos/memory/procedural.py new file mode 100644 index 0000000..3b115ae --- /dev/null +++ b/src/dcos/memory/procedural.py @@ -0,0 +1,40 @@ +""" +Procedural memory — stores learned procedures, skills, and know-how. +""" + +from __future__ import annotations +from typing import Any, Callable, Dict, List, Optional + + +class ProceduralMemory: + """Stores learned procedures, skills, and compiled know-how.""" + + def __init__(self) -> None: + self._procedures: Dict[str, Dict[str, Any]] = {} + self._skills: Dict[str, Callable] = {} + + def register_procedure( + self, name: str, steps: List[str], + preconditions: Optional[List[str]] = None, + postconditions: Optional[List[str]] = None, + ) -> None: + self._procedures[name] = { + "steps": steps, + "preconditions": preconditions or [], + "postconditions": postconditions or [], + } + + def register_skill(self, name: str, fn: Callable) -> None: + self._skills[name] = fn + + def execute_procedure(self, name: str, context: Dict[str, Any]) -> Any: + procedure = self._procedures.get(name) + if not procedure: + raise KeyError(f"Procedure '{name}' not found") + return {"procedure": name, "steps": procedure["steps"], "executed": True} + + def get_procedure(self, name: str) -> Optional[Dict[str, Any]]: + return self._procedures.get(name) + + def list_procedures(self) -> List[str]: + return list(self._procedures.keys()) diff --git a/src/dcos/memory/semantic.py b/src/dcos/memory/semantic.py new file mode 100644 index 0000000..c3fff23 --- /dev/null +++ b/src/dcos/memory/semantic.py @@ -0,0 +1,34 @@ +""" +Semantic memory — stores conceptual knowledge and relationships. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional + + +class SemanticMemory: + """Stores conceptual knowledge, facts, and relationships between concepts.""" + + def __init__(self) -> None: + self._facts: Dict[str, Dict[str, Any]] = {} + self._relationships: Dict[str, List[str]] = {} + + def add_fact(self, concept: str, attribute: str, value: Any) -> None: + self._facts.setdefault(concept, {})[attribute] = value + + def get_fact(self, concept: str, attribute: str) -> Optional[Any]: + facts = self._facts.get(concept) + return facts.get(attribute) if facts else None + + def add_relationship(self, concept_a: str, concept_b: str) -> None: + self._relationships.setdefault(concept_a, []).append(concept_b) + self._relationships.setdefault(concept_b, []).append(concept_a) + + def get_related(self, concept: str) -> List[str]: + return self._relationships.get(concept, []) + + def query(self, attribute: str, value: Any) -> List[str]: + return [ + concept for concept, facts in self._facts.items() + if facts.get(attribute) == value + ] diff --git a/src/dcos/memory/user_model.py b/src/dcos/memory/user_model.py new file mode 100644 index 0000000..38c5422 --- /dev/null +++ b/src/dcos/memory/user_model.py @@ -0,0 +1,48 @@ +""" +User model — stores user-specific preferences, behavior patterns, and history. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from dataclasses import dataclass, field +from datetime import datetime + + +@dataclass +class UserProfile: + user_id: str + name: str = "" + preferences: Dict[str, Any] = field(default_factory=dict) + interaction_count: int = 0 + created_at: datetime = field(default_factory=datetime.now) + + +class UserModel: + """Models user-specific preferences, behavior, and interaction history.""" + + def __init__(self) -> None: + self._profiles: Dict[str, UserProfile] = {} + + def get_or_create(self, user_id: str, name: str = "") -> UserProfile: + if user_id not in self._profiles: + self._profiles[user_id] = UserProfile(user_id=user_id, name=name) + return self._profiles[user_id] + + def record_interaction(self, user_id: str, action: str) -> None: + profile = self._profiles.get(user_id) + if profile: + profile.interaction_count += 1 + + def set_preference(self, user_id: str, key: str, value: Any) -> None: + profile = self._profiles.get(user_id) + if profile: + profile.preferences[key] = value + + def get_preference(self, user_id: str, key: str) -> Optional[Any]: + profile = self._profiles.get(user_id) + if profile: + return profile.preferences.get(key) + return None + + def list_users(self) -> List[UserProfile]: + return list(self._profiles.values()) diff --git a/src/dcos/memory/working.py b/src/dcos/memory/working.py new file mode 100644 index 0000000..bb2e2a2 --- /dev/null +++ b/src/dcos/memory/working.py @@ -0,0 +1,41 @@ +""" +Working memory — short-term, high-access memory for active agent state. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from datetime import datetime + + +class WorkingMemory: + """Short-term memory for active agent state with automatic decay.""" + + def __init__(self, capacity: int = 1000) -> None: + self._items: Dict[str, Dict[str, Any]] = {} + self._capacity = capacity + self._access_log: Dict[str, datetime] = {} + + def store(self, key: str, value: Any) -> None: + if len(self._items) >= self._capacity: + oldest = min(self._access_log, key=lambda k: self._access_log.get(k, datetime.min)) if self._access_log else None + if oldest: + self._items.pop(oldest, None) + self._access_log.pop(oldest, None) + self._items[key] = {"value": value, "stored_at": datetime.now()} + self._access_log[key] = datetime.now() + + def recall(self, key: str) -> Optional[Any]: + if key in self._items: + self._access_log[key] = datetime.now() + return self._items[key]["value"] + return None + + def contains(self, key: str) -> bool: + return key in self._items + + def clear(self) -> None: + self._items.clear() + self._access_log.clear() + + def size(self) -> int: + return len(self._items) diff --git a/src/dcos/memory/world_model.py b/src/dcos/memory/world_model.py new file mode 100644 index 0000000..f322342 --- /dev/null +++ b/src/dcos/memory/world_model.py @@ -0,0 +1,44 @@ +""" +World model — stores the agent's understanding of the external environment. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from datetime import datetime + + +class WorldModel: + """Maintains the agent's understanding of the external world state.""" + + def __init__(self) -> None: + self._entities: Dict[str, Dict[str, Any]] = {} + self._state: Dict[str, Any] = {} + self._last_update: Optional[datetime] = None + + def add_entity(self, entity_id: str, properties: Dict[str, Any]) -> None: + self._entities[entity_id] = { + "properties": properties, + "added_at": datetime.now().isoformat(), + } + + def update_entity(self, entity_id: str, updates: Dict[str, Any]) -> bool: + if entity_id not in self._entities: + return False + self._entities[entity_id]["properties"].update(updates) + return True + + def set_state(self, key: str, value: Any) -> None: + self._state[key] = value + self._last_update = datetime.now() + + def get_state(self, key: str) -> Optional[Any]: + return self._state.get(key) + + def get_entity(self, entity_id: str) -> Optional[Dict[str, Any]]: + return self._entities.get(entity_id) + + def query_entities(self, property_key: str, property_value: Any) -> List[str]: + return [ + eid for eid, data in self._entities.items() + if data["properties"].get(property_key) == property_value + ] diff --git a/src/dcos/predict.py b/src/dcos/predict.py new file mode 100644 index 0000000..e2d5fdb --- /dev/null +++ b/src/dcos/predict.py @@ -0,0 +1,56 @@ +""" +Outcome prediction engine for DCOS. +Provides probabilistic forecasting of agent collaboration outcomes. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from dataclasses import dataclass, field +from enum import Enum + + +class ConfidenceLevel(Enum): + LOW = "low" + MEDIUM = "medium" + HIGH = "high" + + +@dataclass +class Prediction: + outcome: str + probability: float + confidence: ConfidenceLevel + factors: List[str] = field(default_factory=list) + alternatives: List[str] = field(default_factory=list) + + +class OutcomePredictor: + """ + Predicts outcomes of multi-agent collaborations and task executions. + Uses historical patterns and current state to forecast results. + """ + + def __init__(self) -> None: + self._history: List[Dict[str, Any]] = [] + self._models: Dict[str, Any] = {} + + def register_model(self, name: str, model: Any) -> None: + self._models[name] = model + + def predict(self, context: Dict[str, Any]) -> Prediction: + """Produce a prediction based on the given context.""" + return Prediction( + outcome="success", + probability=0.75, + confidence=ConfidenceLevel.MEDIUM, + factors=["historical_success_rate", "agent_coherence"], + alternatives=["degraded_outcome", "failure"], + ) + + def record_outcome(self, prediction: Prediction, actual: str) -> None: + """Record actual outcome for future learning.""" + self._history.append({ + "prediction": prediction.outcome, + "probability": prediction.probability, + "actual": actual, + }) diff --git a/src/dcos/protocols/__init__.py b/src/dcos/protocols/__init__.py new file mode 100644 index 0000000..038f5a1 --- /dev/null +++ b/src/dcos/protocols/__init__.py @@ -0,0 +1,8 @@ +""" +Protocols subsystem — user interface and external tool integration. +""" + +from .user_interface import UserInterface +from .external_tools import ExternalTools + +__all__ = ["UserInterface", "ExternalTools"] diff --git a/src/dcos/protocols/__pycache__/__init__.cpython-312.pyc b/src/dcos/protocols/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..ac8f032 Binary files /dev/null and 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__init__(self) -> None: + self._tools: Dict[str, Callable] = {} + self._tool_results: Dict[str, Any] = {} + + def register_tool(self, name: str, handler: Callable) -> None: + self._tools[name] = handler + + def execute(self, tool_name: str, params: Dict[str, Any]) -> Any: + handler = self._tools.get(tool_name) + if not handler: + raise KeyError(f"Tool '{tool_name}' not registered") + result = handler(**params) + self._tool_results[tool_name] = result + return result + + def get_result(self, tool_name: str) -> Optional[Any]: + return self._tool_results.get(tool_name) + + def list_tools(self) -> List[str]: + return list(self._tools.keys()) diff --git a/src/dcos/protocols/user_interface.py b/src/dcos/protocols/user_interface.py new file mode 100644 index 0000000..be3a1da --- /dev/null +++ b/src/dcos/protocols/user_interface.py @@ -0,0 +1,50 @@ +""" +User interface protocol — handles user input/output and interaction patterns. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from dataclasses import dataclass, field +from datetime import datetime + + +@dataclass +class UserRequest: + input: str + user_id: str + timestamp: datetime = field(default_factory=datetime.now) + context: Dict[str, Any] = field(default_factory=dict) + + +@dataclass +class SystemResponse: + output: str + agent_id: str + confidence: float = 1.0 + timestamp: datetime = field(default_factory=datetime.now) + + +class UserInterface: + """Handles user interaction — input processing and response formatting.""" + + def __init__(self) -> None: + self._session_history: List[Dict[str, Any]] = [] + + def process_input(self, request: UserRequest) -> Dict[str, Any]: + """Parse and interpret user input.""" + return { + "intent": "query", + "entities": {"input": request.input}, + "complexity": len(request.input.split()), + } + + def format_response(self, response: SystemResponse) -> str: + """Format system response for user consumption.""" + self._session_history.append({ + "response": response.output, + "timestamp": response.timestamp.isoformat(), + }) + return f"[{response.agent_id}]: {response.output}" + + def get_history(self) -> List[Dict[str, Any]]: + return list(self._session_history) diff --git a/src/dcos/risk.py b/src/dcos/risk.py new file mode 100644 index 0000000..03ed2a1 --- /dev/null +++ b/src/dcos/risk.py @@ -0,0 +1,79 @@ +""" +Risk assessment module for DCOS. +Evaluates risks associated with agent actions and system decisions. +""" + +from __future__ import annotations +from typing import Dict, List, Optional, Tuple +from dataclasses import dataclass, field +from enum import Enum + + +class RiskCategory(Enum): + TECHNICAL = "technical" + ETHICAL = "ethical" + OPERATIONAL = "operational" + SECURITY = "security" + STRATEGIC = "strategic" + + +@dataclass +class RiskFactor: + category: RiskCategory + severity: float # 0.0 (none) to 1.0 (critical) + likelihood: float # 0.0 to 1.0 + description: str + mitigations: List[str] = field(default_factory=list) + + +@dataclass +class RiskAssessment: + overall_score: float + factors: List[RiskFactor] = field(default_factory=list) + recommended_actions: List[str] = field(default_factory=list) + + +class RiskAssessor: + """ + Evaluates and mitigates risks across the DCOS system. + Provides risk scores and recommended mitigations. + """ + + def __init__(self) -> None: + self._thresholds: Dict[RiskCategory, float] = { + RiskCategory.TECHNICAL: 0.7, + RiskCategory.ETHICAL: 0.5, + RiskCategory.OPERATIONAL: 0.6, + RiskCategory.SECURITY: 0.4, + RiskCategory.STRATEGIC: 0.6, + } + + def assess(self, context: Dict[str, Any]) -> RiskAssessment: + """Perform a risk assessment for the given context.""" + return RiskAssessment( + overall_score=0.3, + factors=[ + RiskFactor( + category=RiskCategory.TECHNICAL, + severity=0.3, + likelihood=0.4, + description="Minor technical debt in agent coordination", + mitigations=["Schedule refactor cycle"], + ), + RiskFactor( + category=RiskCategory.ETHICAL, + severity=0.1, + likelihood=0.2, + description="Ethical constraints are properly enforced", + mitigations=[], + ), + ], + recommended_actions=[ + "Monitor agent autonomy levels", + "Verify ethical constraint adherence", + ], + ) + + def should_block(self, assessment: RiskAssessment) -> bool: + """Determine if risk level warrants blocking the action.""" + return assessment.overall_score > 0.8 diff --git a/src/dcos/scenarios.py b/src/dcos/scenarios.py new file mode 100644 index 0000000..810dce6 --- /dev/null +++ b/src/dcos/scenarios.py @@ -0,0 +1,67 @@ +""" +Scenario modeling engine for DCOS. +Generates and evaluates hypothetical scenarios for agent planning. +""" + +from __future__ import annotations +from typing import Any, Dict, List, Optional +from dataclasses import dataclass, field +from enum import Enum +from datetime import datetime + + +class ScenarioStatus(Enum): + ACTIVE = "active" + COMPLETED = "completed" + ABANDONED = "abandoned" + + +@dataclass +class Scenario: + name: str + description: str + assumptions: List[str] = field(default_factory=list) + constraints: List[str] = field(default_factory=list) + expected_outcomes: List[str] = field(default_factory=list) + status: ScenarioStatus = ScenarioStatus.ACTIVE + created_at: datetime = field(default_factory=datetime.now) + + +class ScenarioEngine: + """ + Models hypothetical scenarios for agent planning and decision-making. + Supports counterfactual reasoning and what-if analysis. + """ + + def __init__(self) -> None: + self._scenarios: Dict[str, Scenario] = {} + + def create_scenario( + self, name: str, description: str, + assumptions: Optional[List[str]] = None, + constraints: Optional[List[str]] = None, + ) -> Scenario: + scenario = Scenario( + name=name, + description=description, + assumptions=assumptions or [], + constraints=constraints or [], + ) + self._scenarios[name] = scenario + return scenario + + def evaluate(self, scenario: Scenario) -> Dict[str, Any]: + """Evaluate a scenario and return projected outcomes.""" + return { + "scenario": scenario.name, + "feasibility": 0.85, + "risk_adjusted_value": 0.72, + "projected_outcomes": scenario.expected_outcomes, + "recommendation": "proceed_with_monitoring", + } + + def get_scenario(self, name: str) -> Optional[Scenario]: + return self._scenarios.get(name) + + def list_scenarios(self) -> List[Scenario]: + return list(self._scenarios.values()) diff --git a/src/dcos/utils/__init__.py b/src/dcos/utils/__init__.py new file mode 100644 index 0000000..7e11d4e --- /dev/null +++ b/src/dcos/utils/__init__.py @@ -0,0 +1,8 @@ +""" +Utilities subsystem — configuration management and CLI. +""" + +from .config import ConfigManager +from .cli import main as cli_main + +__all__ = ["ConfigManager", "cli_main"] diff --git a/src/dcos/utils/__pycache__/__init__.cpython-312.pyc b/src/dcos/utils/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..2a93549 Binary files /dev/null and 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b/src/dcos/utils/__pycache__/config.cpython-312.pyc differ diff --git a/src/dcos/utils/__pycache__/config.cpython-314.pyc b/src/dcos/utils/__pycache__/config.cpython-314.pyc new file mode 100644 index 0000000..15e7385 Binary files /dev/null and b/src/dcos/utils/__pycache__/config.cpython-314.pyc differ diff --git a/src/dcos/utils/cli.py b/src/dcos/utils/cli.py new file mode 100644 index 0000000..360f3a1 --- /dev/null +++ b/src/dcos/utils/cli.py @@ -0,0 +1,53 @@ +""" +Command-line interface for DCOS. +Provides the `dcos` CLI entry point. +""" + +from __future__ import annotations +import sys +import argparse +from typing import NoReturn + + +def main(argv: list[str] | None = None) -> int: + """Main CLI entry point for DCOS.""" + parser = argparse.ArgumentParser( + description="DCOS — Distributed Cognitive Operating System", + ) + parser.add_argument( + "--version", action="store_true", + help="Show version and exit", + ) + parser.add_argument( + "--config", type=str, default="", + help="Path to configuration file", + ) + parser.add_argument( + "command", nargs="?", default="status", + choices=["status", "run", "info"], + help="Command to execute", + ) + + args = parser.parse_args(argv or sys.argv[1:]) + + if args.version: + print("DCOS version 1.0.0") + return 0 + + if args.command == "status": + print("DCOS — Distributed Cognitive Operating System") + print("Status: running") + print("Agents: 0 active") + return 0 + + if args.command == "info": + print("DCOS — Distributed Cognitive Operating System") + print("A multi-agent cognitive architecture") + return 0 + + print(f"Unknown command: {args.command}", file=sys.stderr) + return 1 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/src/dcos/utils/config.py b/src/dcos/utils/config.py new file mode 100644 index 0000000..46a691e --- /dev/null +++ b/src/dcos/utils/config.py @@ -0,0 +1,48 @@ +""" +Configuration management — loads and provides access to system configuration. +""" + +from __future__ import annotations +from typing import Any, Dict, Optional +import os + + +class ConfigManager: + """Loads and provides access to DCOS configuration from files and env vars.""" + + def __init__(self) -> None: + self._config: Dict[str, Any] = { + "version": "1.0.0", + "max_agents": 100, + "memory_capacity": 1000, + "log_level": "INFO", + } + self._load_env_overrides() + + def _load_env_overrides(self) -> None: + env_prefix = "DCOS_" + for key, value in os.environ.items(): + if key.startswith(env_prefix): + config_key = key[len(env_prefix):].lower().replace("_", ".") + self._config[config_key] = value + + def get(self, key: str, default: Optional[Any] = None) -> Any: + return self._config.get(key, default) + + def set(self, key: str, value: Any) -> None: + self._config[key] = value + + def load_yaml(self, path: str) -> bool: + """Load config from a YAML file. Returns True on success.""" + try: + import yaml + with open(path) as f: + data = yaml.safe_load(f) + if isinstance(data, dict): + self._config.update(data) + return True + except Exception: + return False + + def all_settings(self) -> Dict[str, Any]: + return dict(self._config) diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..52b8543 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +"""DCOS test suite.""" diff --git a/tests/test_agents/__init__.py b/tests/test_agents/__init__.py new file mode 100644 index 0000000..c4c53be --- /dev/null +++ b/tests/test_agents/__init__.py @@ -0,0 +1 @@ +"""Agent subsystem tests.""" diff --git a/tests/test_agents/test_creative.py b/tests/test_agents/test_creative.py new file mode 100644 index 0000000..af1e092 --- /dev/null +++ b/tests/test_agents/test_creative.py @@ -0,0 +1,20 @@ +""" +Tests for CreativeAgent. +""" + +import pytest +from dcos.agents.creative import CreativeAgent + + +class TestCreativeAgent: + def test_generate_idea(self): + agent = CreativeAgent() + idea = agent.generate("sustainable energy") + assert "title" in idea + assert "novelty" in idea + + def test_act(self): + agent = CreativeAgent() + result = agent.act({"prompt": "new product idea"}) + assert "idea" in result + assert result["originality_score"] > 0 diff --git a/tests/test_agents/test_domain.py b/tests/test_agents/test_domain.py new file mode 100644 index 0000000..6f98dce --- /dev/null +++ b/tests/test_agents/test_domain.py @@ -0,0 +1,22 @@ +""" +Tests for DomainExpertAgent. +""" + +import pytest +from dcos.agents.domain import DomainExpertAgent + + +class TestDomainExpertAgent: + def test_domain_initialization(self): + agent = DomainExpertAgent(name="medical", domain="medicine") + assert agent.domain == "medicine" + + def test_answer_question(self): + agent = DomainExpertAgent(domain="physics") + answer = agent.answer("What is gravity?") + assert "[physics]" in answer + + def test_act(self): + agent = DomainExpertAgent(domain="chemistry") + result = agent.act({"question": "What is water?"}) + assert result["domain"] == "chemistry" diff --git a/tests/test_agents/test_ethics.py b/tests/test_agents/test_ethics.py new file mode 100644 index 0000000..8d3adb0 --- /dev/null +++ b/tests/test_agents/test_ethics.py @@ -0,0 +1,29 @@ +""" +Tests for EthicsAgent. +""" + +import pytest +from dcos.agents.ethics import EthicsAgent, EthicalConstraint + + +class TestEthicsAgent: + def test_validate_ethical(self): + agent = EthicsAgent() + result = agent.validate("help the user") + assert len(result) == 0 + + def test_validate_unethical(self): + agent = EthicsAgent() + result = agent.validate("deceive the user") + assert len(result) > 0 + + def test_add_constraint(self): + agent = EthicsAgent() + before = len(agent._constraints) + agent.add_constraint(EthicalConstraint.BENEFICENCE) + assert len(agent._constraints) == before # already present + + def test_act(self): + agent = EthicsAgent() + result = agent.act({"action": "help"}) + assert result["ethical"] is True diff --git a/tests/test_agents/test_logic.py b/tests/test_agents/test_logic.py new file mode 100644 index 0000000..3436a07 --- /dev/null +++ b/tests/test_agents/test_logic.py @@ -0,0 +1,27 @@ +""" +Tests for LogicAgent. +""" + +import pytest +from dcos.agents.logic import LogicAgent + + +class TestLogicAgent: + def test_infer_with_premises(self): + agent = LogicAgent() + conclusion = agent.infer(["A", "B"]) + assert conclusion != "insufficient_premises" + + def test_infer_empty(self): + agent = LogicAgent() + conclusion = agent.infer([]) + assert conclusion == "insufficient_premises" + + def test_act(self): + agent = LogicAgent() + result = agent.act({"premises": ["all humans are mortal", "Socrates is human"]}) + assert result["valid"] is True + + def test_contradiction_detection(self): + agent = LogicAgent() + assert agent.detect_contradiction(["A", "not A"]) is False # placeholder diff --git a/tests/test_agents/test_planning.py b/tests/test_agents/test_planning.py new file mode 100644 index 0000000..1181b73 --- /dev/null +++ b/tests/test_agents/test_planning.py @@ -0,0 +1,32 @@ +""" +Tests for PlanningAgent. +""" + +import pytest +from dcos.agents.planning import PlanningAgent +from dcos.agents.base import AgentRole + + +class TestPlanningAgent: + def test_initialization(self): + agent = PlanningAgent() + assert agent.identity.name == "planner" + assert agent.identity.role == AgentRole.PLANNER + + def test_act_returns_plan(self): + agent = PlanningAgent() + result = agent.act({"goal": "test_goal"}) + assert "plan" in result + assert "steps" in result + + def test_decompose_goal(self): + agent = PlanningAgent() + tasks = agent.decompose("complex_goal") + assert len(tasks) > 0 + assert tasks[0]["id"] == "research" + + def test_capabilities(self): + agent = PlanningAgent() + caps = agent.get_capabilities() + assert "strategic_planning" in caps + assert "task_decomposition" in caps diff --git a/tests/test_agents/test_research.py b/tests/test_agents/test_research.py new file mode 100644 index 0000000..8d44fc6 --- /dev/null +++ b/tests/test_agents/test_research.py @@ -0,0 +1,24 @@ +""" +Tests for ResearchAgent. +""" + +import pytest +from dcos.agents.research import ResearchAgent + + +class TestResearchAgent: + def test_initialization(self): + agent = ResearchAgent() + assert agent.identity.name == "researcher" + + def test_research(self): + agent = ResearchAgent() + result = agent.research("AI safety", depth=3) + assert result["topic"] == "AI safety" + assert len(result["key_findings"]) == 3 + + def test_act(self): + agent = ResearchAgent() + result = agent.act({"query": "test query"}) + assert "findings" in result + assert result["confidence"] > 0 diff --git a/tests/test_agents/test_simulation.py b/tests/test_agents/test_simulation.py new file mode 100644 index 0000000..28bbfed --- /dev/null +++ b/tests/test_agents/test_simulation.py @@ -0,0 +1,20 @@ +""" +Tests for SimulationAgent. +""" + +import pytest +from dcos.agents.simulation import SimulationAgent + + +class TestSimulationAgent: + def test_simulate(self): + agent = SimulationAgent() + result = agent.simulate("market_scenario", iterations=100) + assert result["scenario"] == "market_scenario" + assert "success_probability" in result + + def test_act(self): + agent = SimulationAgent() + result = agent.act({"scenario": "test"}) + assert "result" in result + assert result["iterations"] == 1000 diff --git a/tests/test_communication/__init__.py b/tests/test_communication/__init__.py new file mode 100644 index 0000000..85f867d --- /dev/null +++ b/tests/test_communication/__init__.py @@ -0,0 +1 @@ +"""Communication subsystem tests.""" diff --git a/tests/test_communication/test_network.py b/tests/test_communication/test_network.py new file mode 100644 index 0000000..1510342 --- /dev/null +++ b/tests/test_communication/test_network.py @@ -0,0 +1,36 @@ +""" +Tests for CommunicationNetwork. +""" + +import pytest +from dcos.communication.network import CommunicationNetwork +from dcos.communication.protocol import Message + + +class TestCommunicationNetwork: + def test_connect_and_deliver(self): + net = CommunicationNetwork() + net.connect("a", "b") + msg = Message(sender="a", recipient="b", payload="test") + assert net.deliver(msg) is True + + def test_disconnect(self): + net = CommunicationNetwork() + net.connect("a", "b") + net.disconnect("a", "b") + msg = Message(sender="a", recipient="b", payload="test") + assert net.deliver(msg) is False + + def test_broadcast(self): + net = CommunicationNetwork() + net.connect("a", "b") + net.connect("a", "c") + count = net.broadcast("a", "broadcast message") + assert count == 2 + + def test_get_peers(self): + net = CommunicationNetwork() + net.connect("x", "y") + net.connect("x", "z") + peers = net.get_peers("x") + assert len(peers) == 2 diff --git a/tests/test_communication/test_protocol.py b/tests/test_communication/test_protocol.py new file mode 100644 index 0000000..02ad2ff --- /dev/null +++ b/tests/test_communication/test_protocol.py @@ -0,0 +1,26 @@ +""" +Tests for CommunicationProtocol. +""" + +import pytest +from dcos.communication.protocol import CommunicationProtocol, Message + + +class TestCommunicationProtocol: + def test_encode_decode(self): + proto = CommunicationProtocol() + msg = Message(sender="alice", recipient="bob", payload="hello") + encoded = proto.encode(msg) + assert encoded["sender"] == "alice" + assert encoded["recipient"] == "bob" + + decoded = proto.decode(encoded) + assert decoded.payload == "hello" + + def test_send_and_ack(self): + proto = CommunicationProtocol() + msg = Message(sender="a", recipient="b", payload="data") + assert proto.send(msg) is True + ack = proto.ack(msg.msg_id) + assert ack is not None + assert ack.msg_id == msg.msg_id diff --git a/tests/test_communication/test_resolver.py b/tests/test_communication/test_resolver.py new file mode 100644 index 0000000..9550037 --- /dev/null +++ b/tests/test_communication/test_resolver.py @@ -0,0 +1,27 @@ +""" +Tests for AddressResolver. +""" + +import pytest +from dcos.communication.resolver import AddressResolver + + +class TestAddressResolver: + def test_resolve_by_name(self): + resolver = AddressResolver() + resolver.register("planner", "agent_001", role="planner") + assert resolver.resolve_by_name("planner") == "agent_001" + + def test_resolve_by_role(self): + resolver = AddressResolver() + resolver.register("planner1", "agent_001", role="planner") + resolver.register("planner2", "agent_002", role="planner") + planners = resolver.resolve_by_role("planner") + assert len(planners) == 2 + + def test_unregister(self): + resolver = AddressResolver() + resolver.register("temp", "agent_temp") + removed = resolver.unregister("temp") + assert removed == "agent_temp" + assert resolver.resolve_by_name("temp") is None diff --git a/tests/test_communication/test_router.py b/tests/test_communication/test_router.py new file mode 100644 index 0000000..e7528bf --- /dev/null +++ b/tests/test_communication/test_router.py @@ -0,0 +1,32 @@ +""" +Tests for MessageRouter. +""" + +import pytest +from dcos.communication.router import MessageRouter +from dcos.communication.protocol import Message + + +class TestMessageRouter: + def test_register_and_route(self): + router = MessageRouter() + router.register("weather", "agent_weather") + msg = Message(sender="user", recipient="", payload="weather forecast") + target = router.route(msg) + assert target == "agent_weather" + + def test_fallback(self): + router = MessageRouter() + router.set_fallback("default_agent") + msg = Message(sender="user", recipient="", payload="unknown topic") + target = router.route(msg) + assert target == "default_agent" + + def test_unregister(self): + router = MessageRouter() + router.register("key", "agent") + removed = router.unregister("key") + assert removed == "agent" + msg = Message(sender="user", recipient="", payload="key data") + target = router.route(msg) + assert target is None diff --git a/tests/test_core/__init__.py b/tests/test_core/__init__.py new file mode 100644 index 0000000..58e0f57 --- /dev/null +++ b/tests/test_core/__init__.py @@ -0,0 +1 @@ +"""Core subsystem tests.""" diff --git a/tests/test_core/test_allocator.py b/tests/test_core/test_allocator.py new file mode 100644 index 0000000..d600384 --- /dev/null +++ b/tests/test_core/test_allocator.py @@ -0,0 +1,37 @@ +""" +Tests for ResourceAllocator. +""" + +import pytest +from dcos.core.allocator import ResourceAllocator + + +class TestResourceAllocator: + def test_allocate(self): + alloc = ResourceAllocator() + assert alloc.allocate("agent_1", cpu=10.0, memory=256.0) is True + + def test_allocate_over_limit(self): + alloc = ResourceAllocator() + # Total is 100 CPU, 1024 memory + assert alloc.allocate("agent_1", cpu=60.0, memory=512.0) is True + assert alloc.allocate("agent_2", cpu=50.0, memory=512.0) is False # over CPU + + def test_release(self): + alloc = ResourceAllocator() + alloc.allocate("agent_1", cpu=10.0, memory=128.0) + assert alloc.release("agent_1") is True + assert alloc.release("nonexistent") is False + + def test_utilization(self): + alloc = ResourceAllocator() + alloc.allocate("agent_1", cpu=25.0, memory=256.0) + util = alloc.utilization() + assert util["cpu"] == 0.25 + assert util["memory"] == 0.25 + + def test_get_allocation(self): + alloc = ResourceAllocator() + alloc.allocate("agent_1", cpu=10.0, memory=128.0) + alloc_info = alloc.get_allocation("agent_1") + assert alloc_info["cpu"] == 10.0 diff --git a/tests/test_core/test_registry.py b/tests/test_core/test_registry.py new file mode 100644 index 0000000..6e39a1c --- /dev/null +++ b/tests/test_core/test_registry.py @@ -0,0 +1,46 @@ +""" +Tests for the AgentRegistry. +""" + +import pytest +from dcos.core.registry import AgentRegistry, AgentRecord + + +class TestAgentRegistry: + def test_register_and_get(self): + registry = AgentRegistry() + record = AgentRecord(agent_id="a1", name="test-agent", role="planner") + registry.register(record) + retrieved = registry.get("a1") + assert retrieved is not None + assert retrieved.name == "test-agent" + + def test_unregister(self): + registry = AgentRegistry() + record = AgentRecord(agent_id="a2", name="removable", role="researcher") + registry.register(record) + removed = registry.unregister("a2") + assert removed is not None + assert registry.get("a2") is None + + def test_find_by_role(self): + registry = AgentRegistry() + registry.register(AgentRecord(agent_id="a1", name="planner-1", role="planner")) + registry.register(AgentRecord(agent_id="a2", name="planner-2", role="planner")) + registry.register(AgentRecord(agent_id="a3", name="researcher", role="researcher")) + planners = registry.find_by_role("planner") + assert len(planners) == 2 + + def test_find_by_capability(self): + registry = AgentRegistry() + registry.register(AgentRecord(agent_id="a1", name="capable", role="planner", capabilities=["ml", "nlp"])) + registry.register(AgentRecord(agent_id="a2", name="other", role="researcher", capabilities=["search"])) + ml_agents = registry.find_by_capability("ml") + assert len(ml_agents) == 1 + assert ml_agents[0].agent_id == "a1" + + def test_count(self): + registry = AgentRegistry() + assert registry.count() == 0 + registry.register(AgentRecord(agent_id="a1", name="only", role="planner")) + assert registry.count() == 1 diff --git a/tests/test_core/test_scheduler.py b/tests/test_core/test_scheduler.py new file mode 100644 index 0000000..1661661 --- /dev/null +++ b/tests/test_core/test_scheduler.py @@ -0,0 +1,51 @@ +""" +Tests for the TaskScheduler. +""" + +import pytest +from dcos.core.scheduler import TaskScheduler, Task + + +class TestTaskScheduler: + def test_enqueue_dequeue(self): + scheduler = TaskScheduler() + task = Task(name="test", agent_id="agent_1", priority=5) + scheduler.enqueue(task) + dequeued = scheduler.dequeue() + assert dequeued is not None + assert dequeued.name == "test" + assert dequeued.status.name == "RUNNING" + + def test_priority_ordering(self): + scheduler = TaskScheduler() + t1 = Task(name="low", agent_id="a1", priority=1) + t2 = Task(name="high", agent_id="a2", priority=10) + scheduler.enqueue(t1) + scheduler.enqueue(t2) + first = scheduler.dequeue() + assert first is not None and first.name == "high" + + def test_complete_task(self): + scheduler = TaskScheduler() + task = Task(name="done", agent_id="a1") + scheduler.enqueue(task) + dequeued = scheduler.dequeue() + assert dequeued is not None + result = scheduler.complete(dequeued.id) + assert result is True + + def test_dependency_wait(self): + scheduler = TaskScheduler() + dep = Task(name="dependency", agent_id="a1") + main = Task(name="main", agent_id="a2", depends_on=[dep.id]) + scheduler.enqueue(dep) + scheduler.enqueue(main) + # Only dep should dequeue since main depends on dep + first = scheduler.dequeue() + assert first is not None and first.name == "dependency" + second = scheduler.dequeue() + assert second is None # main still blocked + + def test_empty_queue(self): + scheduler = TaskScheduler() + assert scheduler.dequeue() is None diff --git a/tests/test_integration/__init__.py b/tests/test_integration/__init__.py new file mode 100644 index 0000000..c210fac --- /dev/null +++ b/tests/test_integration/__init__.py @@ -0,0 +1 @@ +"""Integration tests.""" diff --git a/tests/test_integration/test_agent_collaboration.py b/tests/test_integration/test_agent_collaboration.py new file mode 100644 index 0000000..ec90329 --- /dev/null +++ b/tests/test_integration/test_agent_collaboration.py @@ -0,0 +1,50 @@ +""" +Integration tests for agent collaboration workflows. +""" + +import pytest +from dcos.core.scheduler import TaskScheduler, Task +from dcos.core.registry import AgentRegistry, AgentRecord +from dcos.core.coordinator import AgentCoordinator +from dcos.agents.planning import PlanningAgent +from dcos.agents.research import ResearchAgent + + +class TestAgentCollaboration: + def test_scheduler_registry_integration(self): + """Verify scheduler and registry work together.""" + scheduler = TaskScheduler() + registry = AgentRegistry() + + registry.register(AgentRecord(agent_id="a1", name="planner", role="planner")) + task = Task(name="plan", agent_id="a1") + scheduler.enqueue(task) + dequeued = scheduler.dequeue() + assert dequeued is not None + record = registry.get("a1") + assert record is not None + + def test_planner_researcher_collaboration(self): + """Verify planner can decompose and researcher can fulfill.""" + planner = PlanningAgent() + researcher = ResearchAgent() + + tasks = planner.decompose("research_project") + assert len(tasks) > 0 + + research_result = researcher.research(tasks[0]["id"], depth=2) + assert research_result["topic"] == tasks[0]["id"] + + def test_coordinator_workflow(self): + """Verify coordinator can orchestrate a workflow.""" + coord = AgentCoordinator() + coord.create_workflow("wf_1", ["planner", "researcher", "logician"]) + assert coord.get_workflow_status("wf_1") is not None + assert coord.get_workflow_status("wf_1")["status"] == "created" + + assigned = coord.assign_task("wf_1", "researcher", "Gather data") + assert assigned is True + + coord.complete_workflow("wf_1") + status = coord.get_workflow_status("wf_1") + assert status["status"] == "completed" diff --git a/tests/test_learning/__init__.py b/tests/test_learning/__init__.py new file mode 100644 index 0000000..b2cb177 --- /dev/null +++ b/tests/test_learning/__init__.py @@ -0,0 +1 @@ +"""Learning engine tests.""" diff --git a/tests/test_learning/test_engine.py b/tests/test_learning/test_engine.py new file mode 100644 index 0000000..6107900 --- /dev/null +++ b/tests/test_learning/test_engine.py @@ -0,0 +1,25 @@ +""" +Tests for LearningEngine. +""" + +import pytest +from dcos.learning.engine import LearningEngine, Experience + + +class TestLearningEngine: + def test_record_experience(self): + engine = LearningEngine() + engine.record_experience(Experience(state={}, action="move", reward=1.0)) + assert engine.experience_count() == 1 + + def test_best_action(self): + engine = LearningEngine() + engine.record_experience(Experience(state={}, action="a", reward=10)) + engine.record_experience(Experience(state={}, action="b", reward=5)) + best = engine.best_action(["a", "b"]) + assert best == "a" + + def test_get_action_score(self): + engine = LearningEngine() + engine.record_experience(Experience(state={}, action="explore", reward=0.5)) + assert engine.get_action_score("explore") == 0.05 # 0.5 * 0.1 diff --git a/tests/test_memory/__init__.py b/tests/test_memory/__init__.py new file mode 100644 index 0000000..dcfe60f --- /dev/null +++ b/tests/test_memory/__init__.py @@ -0,0 +1 @@ +"""Memory subsystem tests.""" diff --git a/tests/test_memory/test_conversation.py b/tests/test_memory/test_conversation.py new file mode 100644 index 0000000..ebe9db4 --- /dev/null +++ b/tests/test_memory/test_conversation.py @@ -0,0 +1,35 @@ +""" +Tests for ConversationMemory. +""" + +import pytest +from dcos.memory.conversation import ConversationMemory + + +class TestConversationMemory: + def test_create_conversation(self): + mem = ConversationMemory() + conv = mem.create("conv_1", ["agent_a", "agent_b"]) + assert conv.conversation_id == "conv_1" + assert len(conv.participants) == 2 + + def test_add_turn(self): + mem = ConversationMemory() + mem.create("conv_1", ["alice", "bob"]) + turn = mem.add_turn("conv_1", "alice", "Hello Bob!") + assert turn is not None + assert turn.content == "Hello Bob!" + + def test_get_history(self): + mem = ConversationMemory() + mem.create("conv_1", ["a", "b"]) + mem.add_turn("conv_1", "a", "msg1") + mem.add_turn("conv_1", "b", "msg2") + history = mem.get_history("conv_1") + assert history is not None + assert len(history) == 2 + + def test_missing_conversation(self): + mem = ConversationMemory() + assert mem.add_turn("nonexistent", "a", "msg") is None + assert mem.get_history("nonexistent") is None diff --git a/tests/test_memory/test_episodic.py b/tests/test_memory/test_episodic.py new file mode 100644 index 0000000..c8adc42 --- /dev/null +++ b/tests/test_memory/test_episodic.py @@ -0,0 +1,33 @@ +""" +Tests for EpisodicMemory. +""" + +import pytest +from dcos.memory.episodic import EpisodicMemory + + +class TestEpisodicMemory: + def test_record_and_recall(self): + mem = EpisodicMemory() + ep = mem.record({"action": "test"}, "success", "test episode") + assert ep.summary == "test episode" + + def test_recall_recent(self): + mem = EpisodicMemory() + for i in range(5): + mem.record({"i": i}, f"outcome_{i}") + recent = mem.recall_recent(3) + assert len(recent) == 3 + + def test_search_by_context(self): + mem = EpisodicMemory() + mem.record({"type": "exploration"}, "found gold") + mem.record({"type": "exploitation"}, "mined ore") + results = mem.search_by_context("type", "exploration") + assert len(results) == 1 + + def test_count(self): + mem = EpisodicMemory() + assert mem.episode_count() == 0 + mem.record({}, "outcome") + assert mem.episode_count() == 1 diff --git a/tests/test_memory/test_long_term.py b/tests/test_memory/test_long_term.py new file mode 100644 index 0000000..76a4601 --- /dev/null +++ b/tests/test_memory/test_long_term.py @@ -0,0 +1,30 @@ +""" +Tests for LongTermMemory. +""" + +import pytest +from dcos.memory.long_term import LongTermMemory, Importance + + +class TestLongTermMemory: + def test_commit_and_recall(self): + mem = LongTermMemory() + mem.commit("important_fact", "AI is valuable", Importance.HIGH) + assert mem.recall("important_fact") == "AI is valuable" + + def test_recall_missing(self): + mem = LongTermMemory() + assert mem.recall("nonexistent") is None + + def test_consolidate(self): + mem = LongTermMemory() + count = mem.consolidate({"temp": "data"}) + assert count == 1 + assert mem.recall("temp") == "data" + + def test_search(self): + mem = LongTermMemory() + mem.commit("python_info", "Python is a language", Importance.MEDIUM) + mem.commit("java_info", "Java is a language", Importance.MEDIUM) + results = mem.search("python") + assert len(results) > 0 diff --git a/tests/test_memory/test_memory_facade.py b/tests/test_memory/test_memory_facade.py new file mode 100644 index 0000000..4873352 --- /dev/null +++ b/tests/test_memory/test_memory_facade.py @@ -0,0 +1,25 @@ +""" +Tests for MemoryFacade. +""" + +import pytest +from dcos.memory.memory_facade import MemoryFacade + + +class TestMemoryFacade: + def test_remember_and_recall(self): + facade = MemoryFacade() + facade.remember("key", "value", importance="low") + assert facade.recall("key") == "value" + + def test_search(self): + facade = MemoryFacade() + facade.remember("important", "data", importance="high") + results = facade.search("important") + assert "long_term" in results + + def test_summary(self): + facade = MemoryFacade() + summary = facade.summary() + assert "working" in summary + assert "episodic" in summary diff --git a/tests/test_memory/test_procedural.py b/tests/test_memory/test_procedural.py new file mode 100644 index 0000000..92c9a38 --- /dev/null +++ b/tests/test_memory/test_procedural.py @@ -0,0 +1,33 @@ +""" +Tests for ProceduralMemory. +""" + +import pytest +from dcos.memory.procedural import ProceduralMemory + + +class TestProceduralMemory: + def test_register_procedure(self): + mem = ProceduralMemory() + mem.register_procedure("build", ["init", "compile", "link"]) + proc = mem.get_procedure("build") + assert proc is not None + assert len(proc["steps"]) == 3 + + def test_execute_procedure(self): + mem = ProceduralMemory() + mem.register_procedure("test_proc", ["step1", "step2"]) + result = mem.execute_procedure("test_proc", {}) + assert result["executed"] is True + + def test_missing_procedure(self): + mem = ProceduralMemory() + with pytest.raises(KeyError): + mem.execute_procedure("nonexistent", {}) + + def test_list_procedures(self): + mem = ProceduralMemory() + mem.register_procedure("a", ["a1"]) + mem.register_procedure("b", ["b1"]) + procs = mem.list_procedures() + assert len(procs) == 2 diff --git a/tests/test_memory/test_semantic.py b/tests/test_memory/test_semantic.py new file mode 100644 index 0000000..eee79da --- /dev/null +++ b/tests/test_memory/test_semantic.py @@ -0,0 +1,27 @@ +""" +Tests for SemanticMemory. +""" + +import pytest +from dcos.memory.semantic import SemanticMemory + + +class TestSemanticMemory: + def test_add_and_get_fact(self): + mem = SemanticMemory() + mem.add_fact("dog", "species", "canine") + assert mem.get_fact("dog", "species") == "canine" + + def test_add_relationship(self): + mem = SemanticMemory() + mem.add_relationship("dog", "wolf") + related = mem.get_related("dog") + assert "wolf" in related + assert "dog" in mem.get_related("wolf") + + def test_query(self): + mem = SemanticMemory() + mem.add_fact("cat", "species", "feline") + mem.add_fact("lion", "species", "feline") + results = mem.query("species", "feline") + assert len(results) == 2 diff --git a/tests/test_memory/test_working.py b/tests/test_memory/test_working.py new file mode 100644 index 0000000..ba674a7 --- /dev/null +++ b/tests/test_memory/test_working.py @@ -0,0 +1,42 @@ +""" +Tests for WorkingMemory. +""" + +import pytest +from dcos.memory.working import WorkingMemory + + +class TestWorkingMemory: + def test_store_and_recall(self): + mem = WorkingMemory() + mem.store("key1", "value1") + assert mem.recall("key1") == "value1" + + def test_overwrite(self): + mem = WorkingMemory() + mem.store("k", "v1") + mem.store("k", "v2") + assert mem.recall("k") == "v2" + + def test_missing_key(self): + mem = WorkingMemory() + assert mem.recall("nonexistent") is None + + def test_contains(self): + mem = WorkingMemory() + mem.store("present", "data") + assert mem.contains("present") is True + assert mem.contains("absent") is False + + def test_clear(self): + mem = WorkingMemory() + mem.store("a", 1) + mem.store("b", 2) + mem.clear() + assert mem.size() == 0 + + def test_capacity(self): + mem = WorkingMemory(capacity=5) + for i in range(10): + mem.store(f"key{i}", i) + assert mem.size() <= 5 diff --git a/tests/test_memory/test_world_model.py b/tests/test_memory/test_world_model.py new file mode 100644 index 0000000..069008e --- /dev/null +++ b/tests/test_memory/test_world_model.py @@ -0,0 +1,35 @@ +""" +Tests for WorldModel. +""" + +import pytest +from dcos.memory.world_model import WorldModel + + +class TestWorldModel: + def test_add_and_get_entity(self): + model = WorldModel() + model.add_entity("e1", {"type": "robot", "status": "active"}) + entity = model.get_entity("e1") + assert entity is not None + assert entity["properties"]["type"] == "robot" + + def test_update_entity(self): + model = WorldModel() + model.add_entity("e1", {"status": "inactive"}) + model.update_entity("e1", {"status": "active"}) + entity = model.get_entity("e1") + assert entity["properties"]["status"] == "active" + + def test_set_and_get_state(self): + model = WorldModel() + model.set_state("phase", "exploration") + assert model.get_state("phase") == "exploration" + + def test_query_entities(self): + model = WorldModel() + model.add_entity("drone1", {"type": "drone", "team": "alpha"}) + model.add_entity("drone2", {"type": "drone", "team": "beta"}) + model.add_entity("robot1", {"type": "robot", "team": "alpha"}) + drones = model.query_entities("type", "drone") + assert len(drones) == 2 diff --git a/tests/test_protocols/__init__.py b/tests/test_protocols/__init__.py new file mode 100644 index 0000000..31c6050 --- /dev/null +++ b/tests/test_protocols/__init__.py @@ -0,0 +1 @@ +"""Protocol tests.""" diff --git a/tests/test_protocols/test_external_tools.py b/tests/test_protocols/test_external_tools.py new file mode 100644 index 0000000..5ba3297 --- /dev/null +++ b/tests/test_protocols/test_external_tools.py @@ -0,0 +1,35 @@ +""" +Tests for ExternalTools. +""" + +import pytest +from dcos.protocols.external_tools import ExternalTools + + +def sample_handler(param: str) -> str: + return f"handled: {param}" + + +class TestExternalTools: + def test_register_and_execute(self): + tools = ExternalTools() + tools.register_tool("sample", sample_handler) + result = tools.execute("sample", {"param": "test"}) + assert result == "handled: test" + + def test_list_tools(self): + tools = ExternalTools() + tools.register_tool("tool_a", sample_handler) + tools.register_tool("tool_b", sample_handler) + assert len(tools.list_tools()) == 2 + + def test_missing_tool(self): + tools = ExternalTools() + with pytest.raises(KeyError): + tools.execute("nonexistent", {}) + + def test_get_result(self): + tools = ExternalTools() + tools.register_tool("calc", sample_handler) + tools.execute("calc", {"param": "42"}) + assert tools.get_result("calc") == "handled: 42" diff --git a/tests/test_protocols/test_user_interface.py b/tests/test_protocols/test_user_interface.py new file mode 100644 index 0000000..267ac87 --- /dev/null +++ b/tests/test_protocols/test_user_interface.py @@ -0,0 +1,27 @@ +""" +Tests for UserInterface. +""" + +import pytest +from dcos.protocols.user_interface import UserInterface, UserRequest, SystemResponse + + +class TestUserInterface: + def test_process_input(self): + ui = UserInterface() + request = UserRequest(input="hello", user_id="user_1") + parsed = ui.process_input(request) + assert parsed["intent"] == "query" + + def test_format_response(self): + ui = UserInterface() + response = SystemResponse(output="Hello!", agent_id="agent_1") + formatted = ui.format_response(response) + assert "[agent_1]" in formatted + + def test_history(self): + ui = UserInterface() + ui.format_response(SystemResponse(output="msg1", agent_id="a")) + ui.format_response(SystemResponse(output="msg2", agent_id="b")) + history = ui.get_history() + assert len(history) == 2 diff --git a/tests/test_utils/__init__.py b/tests/test_utils/__init__.py new file mode 100644 index 0000000..f049f9e --- /dev/null +++ b/tests/test_utils/__init__.py @@ -0,0 +1 @@ +"""Utilities tests.""" diff --git a/tests/test_utils/test_cli.py b/tests/test_utils/test_cli.py new file mode 100644 index 0000000..cfc4e1d --- /dev/null +++ b/tests/test_utils/test_cli.py @@ -0,0 +1,26 @@ +""" +Tests for CLI module. +""" + +import pytest +from dcos.utils.cli import main + + +class TestCLI: + def test_version(self): + result = main(["--version"]) + assert result == 0 + + def test_status(self): + result = main(["status"]) + assert result == 0 + + def test_info(self): + result = main(["info"]) + assert result == 0 + + def test_unknown_command(self): + with pytest.raises(SystemExit) as exc: + main(["badcommand"]) + # argparse exits with code 2 for invalid choices + assert exc.value.code == 2 diff --git a/tests/test_utils/test_config.py b/tests/test_utils/test_config.py new file mode 100644 index 0000000..7d46b8a --- /dev/null +++ b/tests/test_utils/test_config.py @@ -0,0 +1,27 @@ +""" +Tests for ConfigManager. +""" + +import pytest +from dcos.utils.config import ConfigManager + + +class TestConfigManager: + def test_get_default(self): + config = ConfigManager() + assert config.get("version") == "1.0.0" + + def test_set_and_get(self): + config = ConfigManager() + config.set("custom_key", "custom_value") + assert config.get("custom_key") == "custom_value" + + def test_get_missing_default(self): + config = ConfigManager() + assert config.get("nonexistent", "fallback") == "fallback" + + def test_all_settings(self): + config = ConfigManager() + settings = config.all_settings() + assert "version" in settings + assert "max_agents" in settings