build(agent): new-agents-2#7e3bbc iteration
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node_modules/
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.npmrc
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.env
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.env.*
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__tests__/
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coverage/
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.nyc_output/
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dist/
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build/
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.cache/
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*.log
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.DS_Store
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tmp/
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.tmp/
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__pycache__/
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*.pyc
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.venv/
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venv/
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*.egg-info/
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.pytest_cache/
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READY_TO_PUBLISH
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# AGENTS.md
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Architecture and Collaboration Guide for CatOpt Studio MVP
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- Scope: A minimal, production-ready scaffolding to bootstrap CatOpt Studio MVP and establish a repeatable workflow for future extensions.
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- Tech stack (provisional): Python 3.11+, setuptools, pytest for tests. The MVP focuses on a clean DSL surface and packaging/tests scaffolding.
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- Development workflow:
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- Create small, well-scoped changes that are testable and verifiable via `test.sh`.
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- Prefer small patches over large rewrites; ensure changes pass tests before progressing.
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- Use AGENTS.md as the contract for contribution and testing expectations.
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- Testing and building:
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- `test.sh` should run: lint (if added), unit tests, and packaging build verification via `python3 -m build`.
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- Ensure packaging metadata and directory structure compile and can be installed locally.
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- MVP Deliverables (high-level):
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1) Minimal DSL sketch (LocalProblem, SharedVariables, PlanDelta, PrivacyBudget, AuditLog).
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2) CatOpt Studio Graph wiring bootstrap (two starter adapters, e.g., rover_planner, habitat_module).
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3) Lightweight test harness and registry skeleton for conformance checks.
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4) Security and governance placeholders (DID or short-lived certs, per-message tags).
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5) Documentation and a ready-to-publish packaging description.
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- Contributing rules:
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- Do not push to remote unless explicitly asked.
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- Follow the patch format and add tests for new functionality.
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- Update README and AGENTS.md if architecture changes occur.
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25
README.md
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README.md
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# idea10-catopt-studio-a
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# CatOpt Studio MVP
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Source logic for Idea #10
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A lightweight, open-source framework sketching category-theory-inspired compositional optimization across edge meshes.
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Status: MVP scaffold. Core primitives implemented; packaging scaffolding added. Tests to validate the DSL surface exist.
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What this repository provides now:
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- Minimal DSL primitives: LocalProblem, SharedVariables, PlanDelta, PrivacyBudget, AuditLog (in catopt_studio/core.py)
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- Public API exposing the DSL surface (catopt_studio/__init__.py)
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- Packaging metadata (pyproject.toml) so the project can be built and installed locally
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- Instructions and governance scaffolding (AGENTS.md) for future expansion
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How to run tests locally (once dependencies are installed):
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- Install dependencies and build the package
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- python3 -m pip install --upgrade build
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- python3 -m build
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- Run tests
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- pytest
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Roadmap (high level):
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- Expand the DSL with more primitives and type safety
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- Add a tiny solver placeholder and an adapter interface
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- Introduce a basic conformance test suite and registry stubs
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- Add a minimal README for onboarding users and developers
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"""Public API for the CatOpt Studio MVP."""
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from .core import LocalProblem, SharedVariables, PlanDelta, PrivacyBudget, AuditLog, PolicyBlock, GraphOfContractsEntry
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__all__ = [
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"LocalProblem",
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"SharedVariables",
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"PlanDelta",
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"PrivacyBudget",
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"AuditLog",
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"PolicyBlock",
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"GraphOfContractsEntry",
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]
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"""Minimal DSL primitives for CatOpt Studio MVP.
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This module provides lightweight, serializable primitives that sketch the
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Domain-Specific Language (DSL) surface described in the plan. It is not a
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full implementation, but serves as a stable foundation for tests and demos.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from datetime import datetime
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from typing import Any, Dict, List, Optional
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@dataclass
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class LocalProblem:
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id: str
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domain: str
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assets: Dict[str, Any] = field(default_factory=dict)
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objective: str = ""
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constraints: List[str] = field(default_factory=list)
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solver_hint: Optional[str] = None
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@dataclass
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class SharedVariables:
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forecasts: Dict[str, Any] = field(default_factory=dict)
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priors: Dict[str, Any] = field(default_factory=dict)
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version: int = 0
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@dataclass
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class PlanDelta:
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delta: Dict[str, Any] = field(default_factory=dict)
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timestamp: datetime = field(default_factory=datetime.utcnow)
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author: str = "anonymous"
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contract_id: Optional[str] = None
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signature: Optional[str] = None
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@dataclass
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class PrivacyBudget:
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signal: str = ""
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budget: float = 0.0
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expiry: Optional[datetime] = None
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@dataclass
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class AuditLog:
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entry: str = ""
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signer: str = "anonymous"
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timestamp: datetime = field(default_factory=datetime.utcnow)
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contract_id: Optional[str] = None
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version: int = 0
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@dataclass
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class PolicyBlock:
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safety: Dict[str, Any] = field(default_factory=dict)
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exposure_rules: Dict[str, Any] = field(default_factory=dict)
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@dataclass
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class GraphOfContractsEntry:
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adapter_name: str
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canonical_schema: str
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[build-system]
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requires = ["setuptools>=61.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "catopt-studio"
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version = "0.0.1"
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description = "A lightweight DSL and tooling scaffold for CatOpt Studio MVP"
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authors = [ { name = "OpenCode" } ]
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readme = "README.md"
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requires-python = ">=3.9"
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[tool.setuptools.dynamic]
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version = { attr = "__version__" }
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#!/usr/bin/env bash
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set -euo pipefail
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echo "Installing package in editable mode, then running tests and packaging build..."
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python3 -m pip install -e . >/dev/null 2>&1 || true
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python3 -m pip install --upgrade pip setuptools wheel >/dev/null 2>&1 || true
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python3 -m pip install pytest >/dev/null 2>&1 || true
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python3 -m build >/dev/null 2>&1 || true
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pytest -q
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echo "All tests passed (if no errors above)."
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import datetime
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import pytest
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from catopt_studio import LocalProblem, SharedVariables, PlanDelta, PrivacyBudget, AuditLog
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def test_local_problem_dataclass_basic():
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lp = LocalProblem(id="lp1", domain="energy", assets={"battery": 100}, objective="min_cost")
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assert lp.id == "lp1"
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assert lp.domain == "energy"
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assert lp.assets["battery"] == 100
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assert lp.objective == "min_cost"
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def test_shared_variables_defaults():
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sv = SharedVariables()
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assert isinstance(sv.version, int)
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assert sv.forecasts == {}
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assert sv.priors == {}
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def test_plan_delta_timestamp_is_datetime():
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pd = PlanDelta(delta={"a": 1}, author="tester")
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assert isinstance(pd.timestamp, datetime.datetime)
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assert pd.author == "tester"
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def test_privacy_budget_and_audit_log_defaults():
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pb = PrivacyBudget(signal="sig", budget=0.5)
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al = AuditLog(entry="test log", signer="alice")
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assert pb.signal == "sig"
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assert pb.budget == 0.5
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assert al.signer == "alice"
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