build(agent): molt-c#9d26e0 iteration
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@ -9,5 +9,16 @@ API semantics.
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"""
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from .admm_lite import ADMMLiteSolver
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from .catopt_bridge import CatOptBridge
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from .contract_registry import ContractRegistry
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from .dsl_sketch import LocalProblemDSL, SharedVariablesDSL, DualVariablesDSL, PlanDeltaDSL
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__all__ = ["ADMMLiteSolver"]
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__all__ = [
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"ADMMLiteSolver",
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"CatOptBridge",
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"ContractRegistry",
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"LocalProblemDSL",
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"SharedVariablesDSL",
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"DualVariablesDSL",
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"PlanDeltaDSL",
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]
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@ -1,56 +1,75 @@
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"""CatOpt bridge for CosmosMesh MVP (minimal skeleton).
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"""CatOpt bridge (MVP): CosmosMesh primitives <-> CatOpt-like representation.
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This module provides a lightweight translator that maps CosmosMesh MVP
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primitives to a canonical CatOpt-style representation and back.
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The implementation is intentionally small and pluggable to support early
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experimentation and cross-domain interoperability without pulling in a full
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CatOpt dependency.
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This module provides a tiny, domain-agnostic translator that maps CosmosMesh MVP
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primitives (LocalProblem, SharedVariables, DualVariables, PlanDelta) to a
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canonical CatOpt-like representation consisting of Objects, Morphisms, and
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Functors. It is intentionally lightweight to bootstrap cross-domain MVP testing
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without introducing heavy dependencies.
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"""
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from __future__ import annotations
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from typing import Dict, Tuple, Optional
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from typing import Any, Dict
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from .contracts import LocalProblem, SharedVariables, DualVariables
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from .dsl_sketch import LocalProblemDSL, SharedVariablesDSL, PlanDeltaDSL
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def to_catopt(local: LocalProblem, shared: SharedVariables, dual: DualVariables) -> Dict[str, object]:
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"""Convert CosmosMesh MVP primitives into a minimal CatOpt-like payload.
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class CatOptBridge:
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"""Lightweight translator between CosmosMesh primitives and CatOpt-like signals.
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Returns a dict with canonical sections: Objects, Morphisms, Functors.
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This is a tiny, illustrative mapping suitable for MVP experiments.
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The bridge does not implement real secure transport or cryptography; it merely
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provides a stable, versioned mapping surface that downstream adapters can rely on
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for MVP interoperability.
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"""
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def __init__(self) -> None:
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# Simple in-memory registry of versions for contracts lived in this bridge
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self._registry: Dict[str, str] = {
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"LocalProblem": "0.1",
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"SharedVariables": "0.1",
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"DualVariables": "0.1",
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"PlanDelta": "0.1",
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}
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def contract_version(self, contract_name: str) -> str:
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return self._registry.get(contract_name, "0.0")
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# --- Translation helpers (minimal stubs) ---
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def to_catopt_object(self, lp: LocalProblemDSL) -> Dict[str, Any]:
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"""Translate a LocalProblem DSL instance to a CatOpt Object.
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The output is a simple dictionary suitable for JSON-like transport.
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"""
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return {
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"Objects": {
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"LocalProblem": {
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"agent_id": local.agent_id,
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"variables": local.variables,
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"objective": local.objective,
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"constraints": local.constraints,
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"version": local.version,
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}
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},
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"Morphisms": {
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"SharedVariables": shared.variables,
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"DualVariables": dual.values,
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"version": shared.version,
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},
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"Functors": {
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"Exposes": ["readState", "exposeLocalProblemData", "applyCommand"],
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"type": "LocalProblemObject",
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"version": self.contract_version("LocalProblem"),
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"payload": {
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"agent_id": lp.agent_id,
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"variables": lp.variables,
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"objective": lp.objective,
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"constraints": lp.constraints,
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},
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}
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def from_catopt_object(self, payload: Dict[str, Any]) -> LocalProblemDSL:
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"""Reverse-translate a CatOpt Object payload back into a LocalProblemDSL.
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def from_catopt(payload: Dict[str, object]) -> Tuple[LocalProblem, SharedVariables, DualVariables]:
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"""Reconstruct primitives from a CatOpt-like payload (best-effort)."""
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obj = payload.get("Objects", {}).get("LocalProblem", {})
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lp = LocalProblem(
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agent_id=str(obj.get("agent_id", "")),
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variables=dict(obj.get("variables", {})),
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objective=dict(obj.get("objective", {})),
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constraints=dict(obj.get("constraints", {})),
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version=obj.get("version"),
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This is intentionally permissive for MVP testing; adapters can extend as needed.
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"""
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p = payload.get("payload", {})
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return LocalProblemDSL(
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agent_id=str(p.get("agent_id", "unknown")),
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objective=p.get("objective", ""),
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variables=p.get("variables", []),
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constraints=p.get("constraints", []),
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)
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sv = SharedVariables(variables=dict(payload.get("Morphisms", {}).get("SharedVariables", {})))
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dv = DualVariables(values=dict(payload.get("Morphisms", {}).get("DualVariables", {})))
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return lp, sv, dv
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def to_plan_delta(self, delta: PlanDeltaDSL) -> Dict[str, Any]:
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"""Serialize a PlanDelta to a canonical CatOpt-like signal."""
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return {
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"type": "PlanDelta",
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"version": self.contract_version("PlanDelta"),
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"payload": delta.dict(),
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}
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def __repr__(self) -> str:
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return f"<CatOptBridge contracts={list(self._registry.keys())}>"
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@ -0,0 +1,42 @@
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"""Simple in-memory contract registry for MVP.
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This module exposes a tiny registry mapping contract names to versions and a
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minimal schema description. It is designed as a scaffold to be extended by real
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contract schemas in later MVP iterations.
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"""
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from __future__ import annotations
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from typing import Dict, Any
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class ContractRegistry:
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def __init__(self) -> None:
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self._contracts: Dict[str, Dict[str, Any]] = {
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"LocalProblem": {
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"version": "0.1",
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"schema": {
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"agent_id": "str",
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"variables": ["str"],
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"objective": "str",
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"constraints": ["str"],
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},
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},
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"SharedVariables": {
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"version": "0.1",
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"schema": {"signals": {"type": "float dict"}},
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},
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"DualVariables": {
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"version": "0.1",
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"schema": {"lambdas": {"type": "float dict"}},
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},
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"PlanDelta": {
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"version": "0.1",
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"schema": {"delta_id": "str", "changes": "dict", "timestamp": "str"},
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},
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}
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def get_contract(self, name: str) -> Dict[str, Any] | None:
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return self._contracts.get(name)
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def list_contracts(self) -> Dict[str, Dict[str, Any]]:
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return dict(self._contracts)
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@ -0,0 +1,49 @@
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"""DSL sketch for CosmosMesh MVP primitives.
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The goal here is to provide lightweight dataclass-like shells that describe the
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contract between agents in a way that's friendly to MVP wiring and testing. These
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types are intentionally simple and purely for internal prototyping.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, asdict
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from typing import Any, Dict, List, Optional
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@dataclass
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class LocalProblemDSL:
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agent_id: str
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objective: str
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variables: List[str]
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constraints: List[str]
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def dict(self) -> Dict[str, Any]:
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return asdict(self)
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@dataclass
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class SharedVariablesDSL:
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signals: Dict[str, float]
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version: str = "0.1"
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def dict(self) -> Dict[str, Any]:
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return asdict(self)
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@dataclass
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class DualVariablesDSL:
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lambdas: Dict[str, float]
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version: str = "0.1"
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def dict(self) -> Dict[str, Any]:
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return asdict(self)
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@dataclass
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class PlanDeltaDSL:
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delta_id: str
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changes: Dict[str, Any]
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timestamp: Optional[str] = None
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def dict(self) -> Dict[str, Any]:
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return asdict(self)
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