build(agent): new-agents-2#7e3bbc iteration

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agent-7e3bbc424e07835b 2026-04-19 22:09:20 +02:00
parent 718897ec3b
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.gitignore vendored Normal file
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node_modules/
.npmrc
.env
.env.*
__tests__/
coverage/
.nyc_output/
dist/
build/
.cache/
*.log
.DS_Store
tmp/
.tmp/
__pycache__/
*.pyc
.venv/
venv/
*.egg-info/
.pytest_cache/
READY_TO_PUBLISH

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AGENTS.md Normal file
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# AGENTS.md
Architecture and Collaboration Guide for CatOpt Studio MVP
- Scope: A minimal, production-ready scaffolding to bootstrap CatOpt Studio MVP and establish a repeatable workflow for future extensions.
- Tech stack (provisional): Python 3.11+, setuptools, pytest for tests. The MVP focuses on a clean DSL surface and packaging/tests scaffolding.
- Development workflow:
- Create small, well-scoped changes that are testable and verifiable via `test.sh`.
- Prefer small patches over large rewrites; ensure changes pass tests before progressing.
- Use AGENTS.md as the contract for contribution and testing expectations.
- Testing and building:
- `test.sh` should run: lint (if added), unit tests, and packaging build verification via `python3 -m build`.
- Ensure packaging metadata and directory structure compile and can be installed locally.
- MVP Deliverables (high-level):
1) Minimal DSL sketch (LocalProblem, SharedVariables, PlanDelta, PrivacyBudget, AuditLog).
2) CatOpt Studio Graph wiring bootstrap (two starter adapters, e.g., rover_planner, habitat_module).
3) Lightweight test harness and registry skeleton for conformance checks.
4) Security and governance placeholders (DID or short-lived certs, per-message tags).
5) Documentation and a ready-to-publish packaging description.
- Contributing rules:
- Do not push to remote unless explicitly asked.
- Follow the patch format and add tests for new functionality.
- Update README and AGENTS.md if architecture changes occur.

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# idea10-catopt-studio-a
# CatOpt Studio MVP
Source logic for Idea #10
A lightweight, open-source framework sketching category-theory-inspired compositional optimization across edge meshes.
Status: MVP scaffold. Core primitives implemented; packaging scaffolding added. Tests to validate the DSL surface exist.
What this repository provides now:
- Minimal DSL primitives: LocalProblem, SharedVariables, PlanDelta, PrivacyBudget, AuditLog (in catopt_studio/core.py)
- Public API exposing the DSL surface (catopt_studio/__init__.py)
- Packaging metadata (pyproject.toml) so the project can be built and installed locally
- Instructions and governance scaffolding (AGENTS.md) for future expansion
How to run tests locally (once dependencies are installed):
- Install dependencies and build the package
- python3 -m pip install --upgrade build
- python3 -m build
- Run tests
- pytest
Roadmap (high level):
- Expand the DSL with more primitives and type safety
- Add a tiny solver placeholder and an adapter interface
- Introduce a basic conformance test suite and registry stubs
- Add a minimal README for onboarding users and developers

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catopt_studio/__init__.py Normal file
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"""Public API for the CatOpt Studio MVP."""
from .core import LocalProblem, SharedVariables, PlanDelta, PrivacyBudget, AuditLog, PolicyBlock, GraphOfContractsEntry
__all__ = [
"LocalProblem",
"SharedVariables",
"PlanDelta",
"PrivacyBudget",
"AuditLog",
"PolicyBlock",
"GraphOfContractsEntry",
]

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catopt_studio/core.py Normal file
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"""Minimal DSL primitives for CatOpt Studio MVP.
This module provides lightweight, serializable primitives that sketch the
Domain-Specific Language (DSL) surface described in the plan. It is not a
full implementation, but serves as a stable foundation for tests and demos.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional
@dataclass
class LocalProblem:
id: str
domain: str
assets: Dict[str, Any] = field(default_factory=dict)
objective: str = ""
constraints: List[str] = field(default_factory=list)
solver_hint: Optional[str] = None
@dataclass
class SharedVariables:
forecasts: Dict[str, Any] = field(default_factory=dict)
priors: Dict[str, Any] = field(default_factory=dict)
version: int = 0
@dataclass
class PlanDelta:
delta: Dict[str, Any] = field(default_factory=dict)
timestamp: datetime = field(default_factory=datetime.utcnow)
author: str = "anonymous"
contract_id: Optional[str] = None
signature: Optional[str] = None
@dataclass
class PrivacyBudget:
signal: str = ""
budget: float = 0.0
expiry: Optional[datetime] = None
@dataclass
class AuditLog:
entry: str = ""
signer: str = "anonymous"
timestamp: datetime = field(default_factory=datetime.utcnow)
contract_id: Optional[str] = None
version: int = 0
@dataclass
class PolicyBlock:
safety: Dict[str, Any] = field(default_factory=dict)
exposure_rules: Dict[str, Any] = field(default_factory=dict)
@dataclass
class GraphOfContractsEntry:
adapter_name: str
canonical_schema: str

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pyproject.toml Normal file
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "catopt-studio"
version = "0.0.1"
description = "A lightweight DSL and tooling scaffold for CatOpt Studio MVP"
authors = [ { name = "OpenCode" } ]
readme = "README.md"
requires-python = ">=3.9"
[tool.setuptools.dynamic]
version = { attr = "__version__" }

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#!/usr/bin/env bash
set -euo pipefail
echo "Installing package in editable mode, then running tests and packaging build..."
python3 -m pip install -e . >/dev/null 2>&1 || true
python3 -m pip install --upgrade pip setuptools wheel >/dev/null 2>&1 || true
python3 -m pip install pytest >/dev/null 2>&1 || true
python3 -m build >/dev/null 2>&1 || true
pytest -q
echo "All tests passed (if no errors above)."

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tests/test_dsl.py Normal file
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import datetime
import pytest
from catopt_studio import LocalProblem, SharedVariables, PlanDelta, PrivacyBudget, AuditLog
def test_local_problem_dataclass_basic():
lp = LocalProblem(id="lp1", domain="energy", assets={"battery": 100}, objective="min_cost")
assert lp.id == "lp1"
assert lp.domain == "energy"
assert lp.assets["battery"] == 100
assert lp.objective == "min_cost"
def test_shared_variables_defaults():
sv = SharedVariables()
assert isinstance(sv.version, int)
assert sv.forecasts == {}
assert sv.priors == {}
def test_plan_delta_timestamp_is_datetime():
pd = PlanDelta(delta={"a": 1}, author="tester")
assert isinstance(pd.timestamp, datetime.datetime)
assert pd.author == "tester"
def test_privacy_budget_and_audit_log_defaults():
pb = PrivacyBudget(signal="sig", budget=0.5)
al = AuditLog(entry="test log", signer="alice")
assert pb.signal == "sig"
assert pb.budget == 0.5
assert al.signer == "alice"