build(agent): molt-c#9d26e0 iteration

This commit is contained in:
agent-9d26e0e1f44f6595 2026-04-15 01:52:12 +02:00
parent b1d447004d
commit 48c71c4090
4 changed files with 166 additions and 45 deletions

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@ -9,5 +9,16 @@ API semantics.
"""
from .admm_lite import ADMMLiteSolver
from .catopt_bridge import CatOptBridge
from .contract_registry import ContractRegistry
from .dsl_sketch import LocalProblemDSL, SharedVariablesDSL, DualVariablesDSL, PlanDeltaDSL
__all__ = ["ADMMLiteSolver"]
__all__ = [
"ADMMLiteSolver",
"CatOptBridge",
"ContractRegistry",
"LocalProblemDSL",
"SharedVariablesDSL",
"DualVariablesDSL",
"PlanDeltaDSL",
]

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@ -1,56 +1,75 @@
"""CatOpt bridge for CosmosMesh MVP (minimal skeleton).
"""CatOpt bridge (MVP): CosmosMesh primitives <-> CatOpt-like representation.
This module provides a lightweight translator that maps CosmosMesh MVP
primitives to a canonical CatOpt-style representation and back.
The implementation is intentionally small and pluggable to support early
experimentation and cross-domain interoperability without pulling in a full
CatOpt dependency.
This module provides a tiny, domain-agnostic translator that maps CosmosMesh MVP
primitives (LocalProblem, SharedVariables, DualVariables, PlanDelta) to a
canonical CatOpt-like representation consisting of Objects, Morphisms, and
Functors. It is intentionally lightweight to bootstrap cross-domain MVP testing
without introducing heavy dependencies.
"""
from __future__ import annotations
from typing import Dict, Tuple, Optional
from typing import Any, Dict
from .contracts import LocalProblem, SharedVariables, DualVariables
from .dsl_sketch import LocalProblemDSL, SharedVariablesDSL, PlanDeltaDSL
def to_catopt(local: LocalProblem, shared: SharedVariables, dual: DualVariables) -> Dict[str, object]:
"""Convert CosmosMesh MVP primitives into a minimal CatOpt-like payload.
class CatOptBridge:
"""Lightweight translator between CosmosMesh primitives and CatOpt-like signals.
Returns a dict with canonical sections: Objects, Morphisms, Functors.
This is a tiny, illustrative mapping suitable for MVP experiments.
The bridge does not implement real secure transport or cryptography; it merely
provides a stable, versioned mapping surface that downstream adapters can rely on
for MVP interoperability.
"""
return {
"Objects": {
"LocalProblem": {
"agent_id": local.agent_id,
"variables": local.variables,
"objective": local.objective,
"constraints": local.constraints,
"version": local.version,
}
},
"Morphisms": {
"SharedVariables": shared.variables,
"DualVariables": dual.values,
"version": shared.version,
},
"Functors": {
"Exposes": ["readState", "exposeLocalProblemData", "applyCommand"],
},
}
def __init__(self) -> None:
# Simple in-memory registry of versions for contracts lived in this bridge
self._registry: Dict[str, str] = {
"LocalProblem": "0.1",
"SharedVariables": "0.1",
"DualVariables": "0.1",
"PlanDelta": "0.1",
}
def from_catopt(payload: Dict[str, object]) -> Tuple[LocalProblem, SharedVariables, DualVariables]:
"""Reconstruct primitives from a CatOpt-like payload (best-effort)."""
obj = payload.get("Objects", {}).get("LocalProblem", {})
lp = LocalProblem(
agent_id=str(obj.get("agent_id", "")),
variables=dict(obj.get("variables", {})),
objective=dict(obj.get("objective", {})),
constraints=dict(obj.get("constraints", {})),
version=obj.get("version"),
)
def contract_version(self, contract_name: str) -> str:
return self._registry.get(contract_name, "0.0")
sv = SharedVariables(variables=dict(payload.get("Morphisms", {}).get("SharedVariables", {})))
dv = DualVariables(values=dict(payload.get("Morphisms", {}).get("DualVariables", {})))
return lp, sv, dv
# --- Translation helpers (minimal stubs) ---
def to_catopt_object(self, lp: LocalProblemDSL) -> Dict[str, Any]:
"""Translate a LocalProblem DSL instance to a CatOpt Object.
The output is a simple dictionary suitable for JSON-like transport.
"""
return {
"type": "LocalProblemObject",
"version": self.contract_version("LocalProblem"),
"payload": {
"agent_id": lp.agent_id,
"variables": lp.variables,
"objective": lp.objective,
"constraints": lp.constraints,
},
}
def from_catopt_object(self, payload: Dict[str, Any]) -> LocalProblemDSL:
"""Reverse-translate a CatOpt Object payload back into a LocalProblemDSL.
This is intentionally permissive for MVP testing; adapters can extend as needed.
"""
p = payload.get("payload", {})
return LocalProblemDSL(
agent_id=str(p.get("agent_id", "unknown")),
objective=p.get("objective", ""),
variables=p.get("variables", []),
constraints=p.get("constraints", []),
)
def to_plan_delta(self, delta: PlanDeltaDSL) -> Dict[str, Any]:
"""Serialize a PlanDelta to a canonical CatOpt-like signal."""
return {
"type": "PlanDelta",
"version": self.contract_version("PlanDelta"),
"payload": delta.dict(),
}
def __repr__(self) -> str:
return f"<CatOptBridge contracts={list(self._registry.keys())}>"

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@ -0,0 +1,42 @@
"""Simple in-memory contract registry for MVP.
This module exposes a tiny registry mapping contract names to versions and a
minimal schema description. It is designed as a scaffold to be extended by real
contract schemas in later MVP iterations.
"""
from __future__ import annotations
from typing import Dict, Any
class ContractRegistry:
def __init__(self) -> None:
self._contracts: Dict[str, Dict[str, Any]] = {
"LocalProblem": {
"version": "0.1",
"schema": {
"agent_id": "str",
"variables": ["str"],
"objective": "str",
"constraints": ["str"],
},
},
"SharedVariables": {
"version": "0.1",
"schema": {"signals": {"type": "float dict"}},
},
"DualVariables": {
"version": "0.1",
"schema": {"lambdas": {"type": "float dict"}},
},
"PlanDelta": {
"version": "0.1",
"schema": {"delta_id": "str", "changes": "dict", "timestamp": "str"},
},
}
def get_contract(self, name: str) -> Dict[str, Any] | None:
return self._contracts.get(name)
def list_contracts(self) -> Dict[str, Dict[str, Any]]:
return dict(self._contracts)

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@ -0,0 +1,49 @@
"""DSL sketch for CosmosMesh MVP primitives.
The goal here is to provide lightweight dataclass-like shells that describe the
contract between agents in a way that's friendly to MVP wiring and testing. These
types are intentionally simple and purely for internal prototyping.
"""
from __future__ import annotations
from dataclasses import dataclass, asdict
from typing import Any, Dict, List, Optional
@dataclass
class LocalProblemDSL:
agent_id: str
objective: str
variables: List[str]
constraints: List[str]
def dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class SharedVariablesDSL:
signals: Dict[str, float]
version: str = "0.1"
def dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class DualVariablesDSL:
lambdas: Dict[str, float]
version: str = "0.1"
def dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class PlanDeltaDSL:
delta_id: str
changes: Dict[str, Any]
timestamp: Optional[str] = None
def dict(self) -> Dict[str, Any]:
return asdict(self)