From 46c0768124182915aa38726f55a3e7da30858217 Mon Sep 17 00:00:00 2001 From: agent-23c260159794913b Date: Thu, 16 Apr 2026 23:24:27 +0200 Subject: [PATCH] build(agent): molt-by#23c260 iteration --- .../adapters/habitat_adapter.py | 22 +++++ .../adapters/rover_adapter.py | 24 +++++ .../contracts.py | 90 +++++++++++++++++++ .../registry.py | 26 ++++++ .../solver.py | 37 ++++++++ 5 files changed, 199 insertions(+) create mode 100644 src/catopt_category_theoretic_compositional/adapters/habitat_adapter.py create mode 100644 src/catopt_category_theoretic_compositional/adapters/rover_adapter.py create mode 100644 src/catopt_category_theoretic_compositional/contracts.py create mode 100644 src/catopt_category_theoretic_compositional/registry.py create mode 100644 src/catopt_category_theoretic_compositional/solver.py diff --git a/src/catopt_category_theoretic_compositional/adapters/habitat_adapter.py b/src/catopt_category_theoretic_compositional/adapters/habitat_adapter.py new file mode 100644 index 0000000..9a10bbf --- /dev/null +++ b/src/catopt_category_theoretic_compositional/adapters/habitat_adapter.py @@ -0,0 +1,22 @@ +"""Starter habitat controller adapter illustrating local problem adaptation.""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Dict, Any + +from ..contracts import LocalProblem + + +@dataclass +class HabitatConfig: + id: str + region: str + capabilities: Dict[str, Any] + + +def adapt_local_problem(problem: LocalProblem) -> LocalProblem: + """Tiny adapter that annotates the local problem for habitat domain.""" + if isinstance(problem.variables, dict): + problem.variables.setdefault("habitat_annotated", True) + return problem diff --git a/src/catopt_category_theoretic_compositional/adapters/rover_adapter.py b/src/catopt_category_theoretic_compositional/adapters/rover_adapter.py new file mode 100644 index 0000000..11aa141 --- /dev/null +++ b/src/catopt_category_theoretic_compositional/adapters/rover_adapter.py @@ -0,0 +1,24 @@ +"""Starter rover adapter illustrating LocalProblem -> CatOpt representation.""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Dict, Any, List + +from ..contracts import LocalProblem + + +@dataclass +class RoverConfig: + name: str + max_speed: float + payload: Dict[str, Any] + + +def adapt_local_problem(problem: LocalProblem) -> LocalProblem: + """A toy adapter that mildly rewrites a LocalProblem to a canonical form.""" + # In a real adapter, map device capabilities to a canonical LocalProblem. + # Here we simply attach a no-op metadata note by mutating the objective if possible. + if isinstance(problem.objective, str): + problem.objective = problem.objective + " [adapted-by-rover]" + return problem diff --git a/src/catopt_category_theoretic_compositional/contracts.py b/src/catopt_category_theoretic_compositional/contracts.py new file mode 100644 index 0000000..beb6cb3 --- /dev/null +++ b/src/catopt_category_theoretic_compositional/contracts.py @@ -0,0 +1,90 @@ +"""CatOpt Contracts: Minimal primitives for Local Problems and exchanges. + +This module provides lightweight dataclasses that sketch the API surface +for CatOpt's data contracts. The goal is to be expressive enough for MVP wiring +without pulling in heavy dependencies. +""" + +from __future__ import annotations + +from dataclasses import dataclass, asdict +from typing import Any, Dict, List, Optional +import json + + +@dataclass +class LocalProblem: + """Represents a device-level optimization problem. + + - variables: a map of decision variables and their current values/roles + - objective: a serializable representation of the local objective + - constraints: list of constraints (expressions or callables in a real system) + - privacy_preferences: optional hints for privacy-preserving exchanges + """ + + variables: Dict[str, Any] + objective: Any + constraints: List[Any] + privacy_preferences: Optional[Dict[str, Any]] = None + + def to_json(self) -> str: + return json.dumps(asdict(self), default=str) + + +@dataclass +class SharedVariables: + """Variables shared across agents for coordination (e.g., aggregates).""" + + variables: Dict[str, Any] + version: int + contract_id: str + encryption_schema: Optional[str] = None + + def to_json(self) -> str: + return json.dumps(asdict(self), default=str) + + +@dataclass +class DualVariables: + """Lagrange-like multipliers used in coordination.""" + + multipliers: Dict[str, float] + + def to_json(self) -> str: + return json.dumps(asdict(self), default=str) + + +@dataclass +class PlanDelta: + """Proposed updates to the local problem in a delta-sync step.""" + + delta: Dict[str, Any] + timestamp: float + author: str + contract_id: str + privacy_budget: Optional[Dict[str, Any]] = None + proofs: Optional[List[str]] = None + + def to_json(self) -> str: + return json.dumps(asdict(self), default=str) + + +@dataclass +class AuditLog: + """Immutable-ish audit log for governance and replay protection.""" + + entries: List[Dict[str, Any]] + + def to_json(self) -> str: + return json.dumps(asdict(self), default=str) + + +@dataclass +class PolicyBlock: + """Safety and data-exposure policy block attached to exchanges.""" + + safety_constraints: List[str] + data_exposure_rules: List[str] + + def to_json(self) -> str: + return json.dumps(asdict(self), default=str) diff --git a/src/catopt_category_theoretic_compositional/registry.py b/src/catopt_category_theoretic_compositional/registry.py new file mode 100644 index 0000000..c971a1b --- /dev/null +++ b/src/catopt_category_theoretic_compositional/registry.py @@ -0,0 +1,26 @@ +"""Graph-of-Contracts registry (in-memory sketch). + +This module provides a tiny in-process registry to map contract_ids to +contracts and associated metadata. It is a placeholder that demonstrates the +intended MVP pattern for later persistence and cross-domain adapters. +""" + +from __future__ import annotations + +from typing import Any, Dict, Optional +from .contracts import LocalProblem, SharedVariables + + +class GraphOfContracts: + def __init__(self) -> None: + self._registry: Dict[str, Dict[str, Any]] = {} + + def register_contract(self, contract_id: str, contract: LocalProblem | SharedVariables, metadata: Optional[Dict[str, Any]] = None) -> str: + self._registry[contract_id] = { + "contract": contract, + "metadata": metadata or {}, + } + return contract_id + + def get_contract(self, contract_id: str) -> Optional[Dict[str, Any]]: + return self._registry.get(contract_id) diff --git a/src/catopt_category_theoretic_compositional/solver.py b/src/catopt_category_theoretic_compositional/solver.py new file mode 100644 index 0000000..27ad3d2 --- /dev/null +++ b/src/catopt_category_theoretic_compositional/solver.py @@ -0,0 +1,37 @@ +"""Tiny ADMM-inspired solver placeholder for CatOpt MVP.""" + +from __future__ import annotations + +from typing import Dict, Any, Tuple + +from .contracts import LocalProblem, SharedVariables, DualVariables + + +def admm_step(local: LocalProblem, shared: SharedVariables, dual: DualVariables) -> Tuple[LocalProblem, SharedVariables, DualVariables]: + """Perform a toy ADMM step. + + This is a non-production placeholder that demonstrates the kind of update + you would wire into the MVP. It does not solve the problem; it simply + demonstrates structure and state transitions for local and shared data. + """ + # Very naive placeholder: push a tiny, deterministic adjustment to a variable + # indicating progress in coordination. In a real solver, you'd compute proximal + # updates, dual ascent steps, and consensus enforcement here. + if local.variables: + key = next(iter(local.variables)) + val = local.variables[key] + try: + local.variables[key] = val # no-op baseline; real code would update + except Exception: + pass + + # Update a dummy shared signal (e.g., a mean of a shared variable) + for k, v in list(shared.variables.items()): + if isinstance(v, (int, float)): + shared.variables[k] = v * 1.0 # no change; placeholder + + # Update duals trivially + for k in list(dual.multipliers.keys()): + dual.multipliers[k] = dual.multipliers[k] + + return local, shared, dual