build(agent): molt-x#ed374b iteration

.gitignore

@@ -0,0 +1,21 @@
+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

AGENTS.md

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+Architecture and contribution guide for SpaceSafeML MVP
+
+Overview
+- Language: Python
+- Core layout (src/spacesafeml_certification_benchmark_and_):
+  - __init__.py
+  - dsl.py             (# DSL data models for safety contracts)
+  - verification.py    (# Verification engine and certificate generation)
+  - simulation/         (# Simulation templates and HIL scaffolding)
+  - governance/ledger.py  (# Tamper-evident ledger for test attestations)
+  - adapters/           (# Starter adapters for planner and perception modules)
+
+Workflow
+- Tests: pytest-based tests run via test.sh in repo root
+- Build: python -m build and packaging metadata validated by test.sh
+- Docs: README and AGENTS.md describe architecture and contribution rules
+
+Tech stack
+- Python 3.8+
+- Lightweight verification (model-checker heuristic) and property-based testing scaffold
+- Simple deterministic simulation scaffolds for fleet scenarios
+- Tamper-evident ledger using hash chaining
+
+Testing commands
+- Run tests: bash test.sh
+- Run Python build: python3 -m build
+- Run unit tests only: pytest -q
+
+Coding guidelines
+- Keep modules small and well-scoped
+- Prefer minimal, well-documented interfaces
+- Add tests with each feature, ensure green before publishing
+- Do not alter license or packaging metadata without explicit approval
+
+Contribution rules
+- Open PRs should include updated tests and a brief changelog-like summary
+- All code must pass tests locally

README.md

@@ -1,3 +1,23 @@
-# spacesafeml-certification-benchmark-and-
+# SpaceSafeML: Certification, Benchmark, and Governance Framework for Onboard AI in Space Robotics
 
-Problem: There is no standard software framework to evaluate, certify, and govern AI agents operating onboard spacecraft and robotic fleets under harsh space conditions (intermittent comms, radiation, limited compute). Current pilots rely on bespoke 
+This repository provides a minimal, open-source MVP of a modular framework to certify and benchmark onboard AI agents operating in space robotics contexts. It includes a Safety DSL, a verification harness, a lightweight simulation scaffold, a governance ledger, and starter adapters for common onboard stacks.
+
+What you can expect in this MVP
+- A Python package named `spacesafeml_certification_benchmark_and_` with core modules:
+  - DSL definitions for LocalCapabilities, SafetyPre/SafetyPostConditions, ResourceBudgets, and DataSharingPolicies
+  - A simple verification engine that can generate safety certificates for plans
+  - A tiny simulation scaffold with placeholder Gazebo/ROS-like interfaces for fleet scenarios (deterministic and replayable)
+  - A tamper-evident ledger to audit test results
+  - Starter adapters for planning and perception modules
+- A basic test suite to validate core behavior and a test launcher script `test.sh` that runs tests and packaging verification
+- Documentation file `AGENTS.md` describing architecture and contribution rules
+
+Getting started
+- Install Python 3.8+ and run tests via `bash test.sh`.
+- Explore the MVP modules under `spacesafeml_certification_benchmark_and_`.
+
+This project intentionally remains minimal yet extensible to accommodate future MVP expansion consistent with the SpaceSafeML vision.
+
+## License
+
+MIT

pyproject.toml

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+[build-system]
+requires = ["setuptools>=61.0"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "spacesafeml_certification_benchmark_and"
+version = "0.1.0"
+description = "Modular framework for certification, benchmarking and governance of onboard AI in space robotics. MVP scaffold."
+readme = "README.md"
+requires-python = ">=3.8"
+license = { text = "MIT" }
+authors = [ { name = "OpenCode Collaboration" } ]
+
+[project.urls]
+Homepage = "https://example.org/spacesafeml"
+
+[tool.setuptools.packages.find]
+where = ["."]
+
+[tool.setuptools.dynamic]
+version = { attr = "spacesafeml_certification_benchmark_and_.__version__" }

spacesafeml_certification_benchmark_and_/__init__.py

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+"""SpaceSafeML Certification Benchmark - MVP package init"""
+
+__version__ = "0.1.0"
+
+# Re-export commonly used components for convenience (optional)
+from .dsl import LocalCapabilities, SafetyPreConditions, SafetyPostConditions, ResourceBudgets, DataSharingPolicy
+from .verification import VerificationEngine
+from .governance.ledger import Ledger
+
+__all__ = [
+    "__version__",
+    "LocalCapabilities",
+    "SafetyPreConditions",
+    "SafetyPostConditions",
+    "ResourceBudgets",
+    "DataSharingPolicy",
+    "VerificationEngine",
+    "Ledger",
+]

spacesafeml_certification_benchmark_and_/adapters/__init__.py

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+"""Adapters package initializer (MVP)."""

spacesafeml_certification_benchmark_and_/adapters/perception_adapter.py

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+"""Starter Adapter: Perception module interface (MVP)."""
+from __future__ import annotations
+
+from typing import Dict, Any
+
+
+def process_sensor_data(data: Dict[str, Any]) -> Dict[str, Any]:
+    """Minimal perception adapter that passes data through."""
+    return dict(data)

spacesafeml_certification_benchmark_and_/adapters/planning_adapter.py

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+"""Starter Adapter: Planner module interface (MVP)."""
+from __future__ import annotations
+
+from typing import Dict, Any
+
+
+def plan_action_sequence(plan: Dict[str, Any]) -> Dict[str, Any]:
+    """Very small planner adapter that echoes actions with a timestamp."""
+    actions = plan.get("actions", [])
+    # Attach a synthetic plan_id for traceability
+    plan = dict(plan)
+    plan["plan_id"] = plan.get("plan_id", "plan-0")
+    plan["echo"] = True
+    return plan

spacesafeml_certification_benchmark_and_/dsl.py

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+"""Safety Contract DSL (minimal MVP).
+
+Defines simple data models to describe safety contracts for onboard AI planning.
+"""
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import List, Dict, Any, Optional
+
+
+@dataclass
+class LocalCapabilities:
+    name: str
+    capabilities: List[str] = field(default_factory=list)
+    metadata: Dict[str, Any] = field(default_factory=dict)
+
+
+@dataclass
+class SafetyPreConditions:
+    description: str
+    conditions: Dict[str, Any] = field(default_factory=dict)
+
+
+@dataclass
+class SafetyPostConditions:
+    description: str
+    conditions: Dict[str, Any] = field(default_factory=dict)
+
+
+@dataclass
+class ResourceBudgets:
+    cpu_cores: float = 0.0
+    memory_gb: float = 0.0
+    energy_wh: float = 0.0
+    time_seconds: float = 0.0
+
+
+@dataclass
+class DataSharingPolicy:
+    policy_id: str
+    allowed_data: List[str] = field(default_factory=list)
+    constraints: Dict[str, Any] = field(default_factory=dict)
+
+
+@dataclass
+class SafetyContract:
+    contract_id: str
+    local_capabilities: List[LocalCapabilities] = field(default_factory=list)
+    pre_conditions: Optional[SafetyPreConditions] = None
+    post_conditions: Optional[SafetyPostConditions] = None
+    budgets: Optional[ResourceBudgets] = None
+    data_policy: Optional[DataSharingPolicy] = None
+    version: str = "1.0"

spacesafeml_certification_benchmark_and_/governance/__init__.py

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+"""Governance package initializer (MVP)."""

spacesafeml_certification_benchmark_and_/governance/ledger.py

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+"""Tamper-evident ledger for test attestations (MVP).
+
+Implements a simple hash-chain ledger suitable for signing and auditing
+test results.
+"""
+from __future__ import annotations
+
+import hashlib
+import json
+from dataclasses import dataclass, asdict, field
+from typing import List, Dict, Any
+
+
+@dataclass
+class LedgerEntry:
+    index: int
+    payload: Dict[str, Any]
+    prev_hash: str
+    hash: str = field(init=False)
+
+    def __post_init__(self):
+        self.hash = self.compute_hash()
+
+    def compute_hash(self) -> str:
+        data = json.dumps({"index": self.index, "payload": self.payload, "prev_hash": self.prev_hash}, sort_keys=True)
+        return hashlib.sha256(data.encode("utf-8")).hexdigest()
+
+
+class Ledger:
+    def __init__(self):
+        self.entries: List[LedgerEntry] = []
+        self._genesis_hash = "0" * 64
+
+    def add_entry(self, payload: Dict[str, Any]) -> LedgerEntry:
+        index = len(self.entries)
+        prev_hash = self.entries[-1].hash if self.entries else self._genesis_hash
+        entry = LedgerEntry(index=index, payload=payload, prev_hash=prev_hash)
+        self.entries.append(entry)
+        return entry
+
+    def get_chain(self) -> List[Dict[str, Any]]:
+        return [asdict(e) for e in self.entries]

spacesafeml_certification_benchmark_and_/simulation/__init__.py

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+"""Simulation templates (MVP placeholders).
+
+This module provides lightweight scaffolds for fleet scenarios and a
+HIL-like interface to simulate faults and disturbances in a deterministic way.
+"""
+from __future__ import annotations
+
+from typing import Dict, Any, List
+
+
+class SimulationTemplate:
+    def __init__(self, name: str, steps: List[Dict[str, Any]] = None):
+        self.name = name
+        self.steps = steps or []
+
+    def add_step(self, step: Dict[str, Any]) -> None:
+        self.steps.append(step)
+
+    def run(self) -> Dict[str, Any]:
+        # Deterministic replay of steps
+        results = []
+        for s in self.steps:
+            results.append({"step": s, "outcome": "ok"})
+        return {"scenario": self.name, "results": results}
+
+
+__all__ = ["SimulationTemplate"]

spacesafeml_certification_benchmark_and_/verification.py

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+"""Verification harness (MVP).
+
+Provides a tiny, deterministic verifier that can produce a safety certificate
+for a given plan against a SafetyContract.
+"""
+from __future__ import annotations
+
+import hashlib
+import json
+from dataclasses import asdict
+from typing import Dict, Any
+
+from .dsl import SafetyContract
+
+
+class VerificationEngine:
+    def __init__(self):
+        pass
+
+    def certify(self, plan: Dict[str, Any], contract: SafetyContract) -> Dict[str, Any]:
+        # Very small, deterministic check:
+        # - Ensure plan contains an 'actions' list
+        actions = plan.get("actions", [])
+        safe = True
+        details = []
+        if not isinstance(actions, list) or not actions:
+            safe = False
+            details.append("No actions provided")
+
+        # Simple budgets check if provided
+        budget_ok = True
+        budgets = plan.get("budgets", {})
+        if contract.budgets and budgets:
+            req = contract.budgets
+            # Compare a subset similarity
+            for k in ("cpu_cores", "memory_gb", "energy_wh", "time_seconds"):
+                if k in budgets and getattr(req, k, 0) > 0:
+                    if budgets[k] > getattr(req, k):
+                        budget_ok = False
+                        details.append(f"Budget {k} exceeded: {budgets[k]} > {getattr(req, k)}")
+        if not budget_ok:
+            safe = False
+
+        certificate = {
+            "certificate_id": self._trace_id(plan, contract),
+            "status": "safe" if safe else "unsafe",
+            "plan_hash": self._hash_plan(plan),
+            "details": details,
+            "version": contract.version if contract else "1.0",
+        }
+        # Attach a minimal certificate payload
+        return certificate
+
+    @staticmethod
+    def _hash_plan(plan: Dict[str, Any]) -> str:
+        return hashlib.sha256(json.dumps(plan, sort_keys=True).encode("utf-8")).hexdigest()
+
+    @staticmethod
+    def _trace_id(plan: Dict[str, Any], contract: SafetyContract) -> str:
+        seed = json.dumps({"plan": plan, "contract": asdict(contract) if contract else {}} , sort_keys=True)
+        return hashlib.sha256(seed.encode("utf-8")).hexdigest()[:16]
+
+
+def generate_certificate(plan: Dict[str, Any], contract: SafetyContract) -> Dict[str, Any]:
+    engine = VerificationEngine()
+    return engine.certify(plan, contract)

test.sh

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+#!/usr/bin/env bash
+set -euo pipefail
+
+echo "==> Installing build tools (if needed)" 
+python3 -m pip install --upgrade build
+
+echo "==> Running tests (pytest)" 
+# Ensure the repository root is on PYTHONPATH so imports like
+# spacesafeml_certification_benchmark_and_ can be resolved regardless of
+# how pytest collects tests.
+export PYTHONPATH="/workspace/repo${PYTHONPATH:+:${PYTHONPATH}}"
+pytest -q
+
+echo "==> Building package (wheel/source)" 
+python3 -m build
+
+echo "OK"

tests/test_ledger.py

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+from spacesafeml_certification_benchmark_and_.governance.ledger import Ledger
+
+
+def test_ledger_basic():
+    led = Ledger()
+    e1 = led.add_entry({"event": "test-1"})
+    e2 = led.add_entry({"event": "test-2"})
+    chain = led.get_chain()
+    assert len(chain) == 2
+    assert chain[0]["payload"]["event"] == "test-1"
+    assert chain[1]["payload"]["event"] == "test-2"
+    assert chain[0]["hash"] == e1.hash
+    assert chain[1]["hash"] == e2.hash

tests/test_verification.py

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+import json
+from spacesafeml_certification_benchmark_and_.verification import generate_certificate
+from spacesafeml_certification_benchmark_and_.dsl import SafetyContract, SafetyPreConditions, SafetyPostConditions, ResourceBudgets, LocalCapabilities, DataSharingPolicy
+
+
+def test_verification_certificate_basic():
+    plan = {
+        "name": "sample-mission",
+        "actions": ["scan", "navigate", "dock"],
+        "budgets": {"cpu_cores": 1.0, "memory_gb": 2.0, "energy_wh": 100.0, "time_seconds": 1800},
+    }
+
+    contract = SafetyContract(
+        contract_id="contract-1",
+        local_capabilities=[LocalCapabilities(name="Planner", capabilities=["plan"] )],
+        budgets=ResourceBudgets(cpu_cores=2.0, memory_gb=4.0, energy_wh=150.0, time_seconds=3600),
+        data_policy=DataSharingPolicy(policy_id="policy-1", allowed_data=["telemetry"]),
+        version="1.0",
+    )
+
+    cert = generate_certificate(plan, contract)
+    assert cert["status"] in ("safe", "unsafe")
+    assert "certificate_id" in cert
+    assert cert["plan_hash"]
+    assert isinstance(cert["details"], list)