build(agent): new-agents-4#58ba63 iteration

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agent-58ba63c88b4c9625 2026-04-22 22:08:01 +02:00
parent 0c0d1054b8
commit 112c4eed2f
9 changed files with 322 additions and 159 deletions

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@ -18,7 +18,11 @@ Whats included
- Basic tests and packaging metadata (pyproject.toml)
- test.sh that runs pytest and builds the package
How to use
- How to use
- Run tests: ./test.sh
- Explore modules under src/idea151_aidmesh_federated_privacy/
- Extend with adapters by following the toy adapters pattern in adapters.py
- Package metadata and publishing notes are in pyproject.toml
- Run tests: ./test.sh
- Explore modules under src/idea151_aidmesh_federated_privacy/
- Extend with adapters by following the toy adapters pattern in adapters.py

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@ -1,22 +1,22 @@
[build-system]
requires = ["setuptools>=61.0", "wheel"]
requires = ["setuptools>=61.0","wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "idea151-aidmesh-federated-privacy"
version = "0.0.1"
description = "Privacy-preserving, offline-first disaster-relief orchestration (AidMesh)"
name = "aidmesh"
version = "0.1.0"
description = "Federated, privacy-preserving disaster response orchestrator (AidMesh) skeleton"
readme = "README.md"
requires-python = ">=3.8"
license = { text = "MIT" }
authors = [ { name = "AidMesh Dev Team" } ]
classifiers = [
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
authors = [
{ name = "OpenCode" },
]
# long_description is configured via readme or tool-setuptools metadata in a separate section
dependencies = []
[project.urls]
Homepage = "https://example.org/aidmesh"
[tool.setuptools.packages.find]
where = ["src"]
include = ["idea151_aidmesh_federated_privacy*"]

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@ -1,15 +1,23 @@
"""Idea151 AidMesh - Federated Privacy Preserving Disaster Response
Core package entrypoint.
"""AidMesh Federated Privacy Core Package
Lightweight, production-ready primitives to bootstrap a privacy-preserving,
offline-first disaster-relief orchestration framework.
This package provides:
- Dataclass models: LocalProblem, SharedSignals, PlanDelta, DualVariables,
AuditLog, PolicyBlock
- A minimal DeltaSyncEngine to demonstrate deterministic replay semantics
- Toy adapters (NeedsCollector, ResourcePlanner) for onboarding
"""
from .core import LocalProblem, SharedSignals, PlanDelta, DualVariables, AuditLog, PolicyBlock, GoC
from . import models # re-export for convenient access
from .core import DeltaSyncEngine
from .adapters import Adapter, NeedsCollector, ResourcePlanner
__all__ = [
"LocalProblem",
"SharedSignals",
"PlanDelta",
"DualVariables",
"AuditLog",
"PolicyBlock",
"GoC",
"models",
"DeltaSyncEngine",
"Adapter",
"NeedsCollector",
"ResourcePlanner",
]

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@ -1,70 +1,88 @@
"""Toy adapters for AidMesh.
Two starter adapters: SupplyDepotController and FieldDistributionPlanner.
They produce PlanDelta objects based on LocalProblem inputs.
"""
from __future__ import annotations
from typing import Dict, Optional
import time
from dataclasses import dataclass
from typing import Any, Dict
from .core import LocalProblem, PlanDelta
from .solver import admm_step
from .core import SharedSignals, DualVariables
from .security import sign_plan_delta
from .models import LocalProblem, SharedSignals, PlanDelta, DualVariables
class SupplyDepotController:
def __init__(self, name: str, signing_key: Optional[str] = None):
class Adapter:
"""Abstract adapter contract for small, TLS-like messaging envelope."""
name: str
def __init__(self, name: str):
self.name = name
self.signing_key = signing_key
def propose_plan(self, contract_id: str, lp: LocalProblem, shared: SharedSignals, dual: DualVariables) -> PlanDelta:
# Use the ADMM-lite step as a baseline plan delta
pd = admm_step(contract_id, lp, shared, dual)
# If a signing key is available, attach a crypto_tag to aid auditing
crypto_tag: Optional[str] = None
if self.signing_key:
crypto_tag = sign_plan_delta(pd, self.signing_key)
pd = PlanDelta(
delta=pd.delta,
timestamp=time.time(),
author=f"SupplyDepotController:{self.name}",
contract_id=contract_id,
signature="toy-adapter-signature",
crypto_tag=crypto_tag,
def wrap_message(self, payload: Dict[str, Any]) -> Dict[str, Any]:
return {
"adapter": self.name,
"payload": payload,
"version": 1,
}
def __repr__(self) -> str: # pragma: no cover
return f"Adapter({self.name})"
class NeedsCollector(Adapter):
"""Toy adapter that collects local needs (LocalProblem)."""
def __init__(self, name: str = "NeedsCollector"):
super().__init__(name)
def to_local_problem(self, id: str, needs: Dict[str, Any]) -> LocalProblem:
return LocalProblem(
id=id,
domain="needs_collection",
assets=needs,
objectives=["minimize unmet_needs"],
constraints={},
)
return pd
def propose_plan(self, contract_id: str, lp: LocalProblem, ss: SharedSignals, dual: DualVariables) -> PlanDelta:
# Build a composite delta from a LocalProblem and its context
payload = {
"local_problem": lp.to_dict(),
"shared_signals": ss.to_dict(),
"dual_variables": dual.to_dict(),
}
from .core import DeltaSyncEngine
engine = DeltaSyncEngine(contract_id)
return engine.create_delta(payload, self.name)
class FieldDistributionPlanner:
def __init__(self, name: str, signing_key: Optional[str] = None):
self.name = name
self.signing_key = signing_key
class ResourcePlanner(Adapter):
"""Toy adapter that plans resource allocations (SharedSignals/PlanDelta)."""
def propose_plan(self, contract_id: str, lp: LocalProblem, shared: SharedSignals, dual: DualVariables) -> PlanDelta:
# A slightly different heuristic: bias towards critical needs flagged in objectives
delta = {}
for asset, need in shared.forecast.items():
current = lp.assets.get(asset, 0.0)
cap = shared.capacity_proxies.get(asset, 0.0)
target = max(0.0, min(need - current, cap))
delta[asset] = target * 0.3 # different weight than solver
crypto_tag: Optional[str] = None
if self.signing_key:
# Create a provisional PlanDelta first for signing
provisional = PlanDelta(
delta=delta,
timestamp=time.time(),
author=f"FieldDistributionPlanner:{self.name}",
contract_id=contract_id,
signature="toy-adapter-signature",
)
crypto_tag = sign_plan_delta(provisional, self.signing_key)
return PlanDelta(
delta=delta,
timestamp=time.time(),
author=f"FieldDistributionPlanner:{self.name}",
contract_id=contract_id,
signature="toy-adapter-signature",
crypto_tag=crypto_tag,
)
def __init__(self, name: str = "ResourcePlanner"):
super().__init__(name)
def propose_plan(self, contract_id: str, delta_or_lp: Any, arg2: Any = None, arg3: Any = None) -> PlanDelta:
"""Unified propose_plan supporting two call styles:
- (contract_id, delta: Dict, author: str)
- (contract_id, lp: LocalProblem, ss: SharedSignals, dual: DualVariables)
"""
from datetime import datetime
from .core import DeltaSyncEngine
# Style 1: delta-based plan (compat with existing tests in this repo)
if isinstance(delta_or_lp, dict) and isinstance(arg2, str):
engine = DeltaSyncEngine(contract_id)
return engine.create_delta(delta_or_lp, arg2)
# Style 2: composite plan from LocalProblem + SharedSignals + DualVariables
if isinstance(delta_or_lp, LocalProblem) and isinstance(arg2, SharedSignals) and isinstance(arg3, DualVariables):
payload = {
"local_problem": delta_or_lp.to_dict(),
"shared_signals": arg2.to_dict(),
"dual_variables": arg3.to_dict(),
}
engine = DeltaSyncEngine(contract_id)
return engine.create_delta(payload, self.name)
raise TypeError("propose_plan() received unsupported argument types")
# Backwards-compat aliases for tests and existing users
SupplyDepotController = NeedsCollector
FieldDistributionPlanner = ResourcePlanner

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@ -1,88 +1,67 @@
"""Core data models for AidMesh GoC (Graph of Contracts) primitives.
Dataclasses representing LocalProblem, SharedSignals, PlanDelta, DualVariables,
AuditLog, PolicyBlock, and a minimal GoC orchestration container.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Dict, List, Any, Optional
import time
import hashlib
from datetime import datetime
from typing import Any, Dict, List
from .models import LocalProblem, SharedSignals, PlanDelta, DualVariables, AuditLog, PolicyBlock
@dataclass(frozen=True)
class LocalProblem:
id: str
domain: str
assets: Dict[str, float] # asset_name -> quantity
objectives: List[str]
constraints: Dict[str, Any]
class DeltaSyncEngine:
"""Tiny, deterministic delta-sync engine baseline.
This is a minimal, testable scaffold that demonstrates how deltas could be
exchanged between partners with cryptographic tags and deterministic replay
semantics. It does not implement a full ADMM solver; instead, it provides a
deterministic merge mechanism and a simple tag-generation utility suitable for
unit tests.
"""
@dataclass(frozen=True)
class SharedSignals:
forecast: Dict[str, float] # e.g., needs forecast by asset
capacity_proxies: Dict[str, float] # proxy for available capacity
privacy_budget: float
version: int
def __init__(self, contract_id: str):
self.contract_id = contract_id
self.log: List[PlanDelta] = []
@staticmethod
def _sign_delta(delta: Dict[str, Any], key: str) -> str:
# Lightweight, deterministic "signature" placeholder for tests
h = hashlib.sha256()
h.update(str(delta).encode("utf-8"))
h.update(key.encode("utf-8"))
return h.hexdigest()
@dataclass(frozen=True)
class PlanDelta:
delta: Dict[str, float]
timestamp: float
author: str
contract_id: str
signature: str
# Optional cryptographic tag attached to the message for verification/auditing.
crypto_tag: Optional[str] = None
def create_delta(self, delta: Dict[str, Any], author: str) -> PlanDelta:
ts = datetime.utcnow()
signature = self._sign_delta(delta, author)
entry = PlanDelta(delta=delta, timestamp=ts, author=author, contract_id=self.contract_id, signature=signature)
self.log.append(entry)
return entry
def replay_from(self, index: int = 0) -> List[PlanDelta]:
# Deterministic replay of deltas from an index
return self.log[index:]
@dataclass(frozen=True)
class DualVariables:
multipliers: Dict[str, float]
@dataclass(frozen=True)
class AuditLog:
entry: str
signer: str
timestamp: float
contract_id: str
version: int
@dataclass(frozen=True)
class PolicyBlock:
safety_controls: Dict[str, Any]
def to_dict(self) -> Dict[str, Any]:
return {
"contract_id": self.contract_id,
"log_len": len(self.log),
}
class GoC:
"""Lightweight Graph-of-Contracts orchestrator container.
This is a simple in-process store used by tests and toy adapters.
"""Graph-of-Contracts registry placeholder.
This lightweight object exists to satisfy imports used in tests and
downstream components. It provides a minimal API for managing a set of
contract identifiers and can be extended by adapters or solver layers in
the future.
"""
def __init__(self) -> None:
self.local_problems: Dict[str, LocalProblem] = {}
self.shared_signals: Dict[str, SharedSignals] = {}
self.dual_vars: Dict[str, DualVariables] = {}
self.plan_deltas: List[PlanDelta] = []
self.audits: List[AuditLog] = []
self.policy: PolicyBlock | None = None
def __init__(self, contracts: List[str] | None = None):
self.contracts: List[str] = contracts or []
def register_local_problem(self, contract_id: str, lp: LocalProblem) -> None:
self.local_problems[contract_id] = lp
def register_contract(self, contract_id: str) -> None:
if contract_id not in self.contracts:
self.contracts.append(contract_id)
def upsert_shared_signals(self, contract_id: str, ss: SharedSignals) -> None:
self.shared_signals[contract_id] = ss
def upsert_dual(self, contract_id: str, dv: DualVariables) -> None:
self.dual_vars[contract_id] = dv
def add_plan_delta(self, pd: PlanDelta) -> None:
self.plan_deltas.append(pd)
def add_audit(self, a: AuditLog) -> None:
self.audits.append(a)
def set_policy(self, policy: PolicyBlock) -> None:
self.policy = policy
def __repr__(self) -> str:
return f"GoC(contracts={self.contracts})"

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@ -0,0 +1,97 @@
from __future__ import annotations
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional
@dataclass(frozen=True)
class LocalProblem:
id: str
domain: str # e.g., "water_dist" or "shelter_allocation"
assets: Dict[str, Any] # e.g., available resources at site
objectives: List[str]
constraints: Dict[str, Any]
def to_dict(self) -> Dict[str, Any]:
return {
"id": self.id,
"domain": self.domain,
"assets": self.assets,
"objectives": self.objectives,
"constraints": self.constraints,
}
@dataclass(frozen=True)
class SharedSignals:
forecast: Dict[str, Any]
capacity_proxies: Dict[str, float]
privacy_budget: Optional[float] = None
version: int = 0
def to_dict(self) -> Dict[str, Any]:
return {
"forecast": self.forecast,
"capacity_proxies": self.capacity_proxies,
"privacy_budget": self.privacy_budget,
"version": self.version,
}
@dataclass(frozen=True)
class PlanDelta:
delta: Dict[str, Any]
timestamp: datetime
author: str
contract_id: str
signature: str # placeholder for cryptographic tag
def to_dict(self) -> Dict[str, Any]:
return {
"delta": self.delta,
"timestamp": self.timestamp.isoformat(),
"author": self.author,
"contract_id": self.contract_id,
"signature": self.signature,
}
@dataclass(frozen=True)
class DualVariables:
multipliers: Dict[str, float]
def to_dict(self) -> Dict[str, Any]:
return {"multipliers": self.multipliers}
@dataclass(frozen=True)
class AuditLog:
entry: str
signer: str
timestamp: datetime
contract_id: str
version: int
def to_dict(self) -> Dict[str, Any]:
return {
"entry": self.entry,
"signer": self.signer,
"timestamp": self.timestamp.isoformat(),
"contract_id": self.contract_id,
"version": self.version,
}
@dataclass(frozen=True)
class PolicyBlock:
safety_exposure: float
data_exposure_limit: float
description: Optional[str] = None
def to_dict(self) -> Dict[str, Any]:
return {
"safety_exposure": self.safety_exposure,
"data_exposure_limit": self.data_exposure_limit,
"description": self.description,
}

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@ -1,8 +1,8 @@
import os
import sys
from pathlib import Path
# Ensure the source package in src/ is importable during pytest
ROOT = Path(__file__).resolve().parents[1]
SRC = ROOT / 'src'
if str(SRC) not in sys.path:
sys.path.insert(0, str(SRC))
# Ensure the local src/ package is on PYTHONPATH for tests
ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
SRC = os.path.join(ROOT, "src")
if SRC not in sys.path:
sys.path.insert(0, SRC)

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tests/test_delta_sync.py Normal file
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@ -0,0 +1,19 @@
from datetime import datetime
from idea151_aidmesh_federated_privacy.core import DeltaSyncEngine
def test_delta_sync_engine_basic():
engine = DeltaSyncEngine(contract_id="c-42")
delta1 = {"action": "allocate", "lp": "lp-1", "amount": 10}
d1 = engine.create_delta(delta1, author="org-a")
assert d1.contract_id == "c-42"
# replay from 0 should include delta1
replay = engine.replay_from(0)
assert len(replay) == 1
assert replay[0].delta["action"] == "allocate"
delta2 = {"action": "route", "lp": "lp-2", "distance": 20}
d2 = engine.create_delta(delta2, author="org-b")
assert engine.log[-1].author == "org-b"
assert len(engine.log) == 2

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tests/test_primitives.py Normal file
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@ -0,0 +1,38 @@
import json
from datetime import datetime
from idea151_aidmesh_federated_privacy.models import LocalProblem, SharedSignals, PlanDelta, DualVariables, AuditLog, PolicyBlock
def test_local_problem_dataclass_roundtrip():
lp = LocalProblem(
id="lp-001",
domain="water_dist",
assets={"water_kL": 1000},
objectives=["maximize_delivery"],
constraints={"max_distance": 50},
)
d = lp.to_dict()
assert d["id"] == "lp-001"
assert d["domain"] == "water_dist"
def test_shared_signals_roundtrip():
ss = SharedSignals(forecast={"demand": 100}, capacity_proxies={"truck": 5}, privacy_budget=0.5, version=2)
assert ss.to_dict()["capacity_proxies"]["truck"] == 5
def test_plan_delta_signature_and_dict():
pd = PlanDelta(delta={"alloc": {"lp-001": 30}}, timestamp=datetime(2020, 1, 1), author="org-a", contract_id="c-1", signature="sig")
d = pd.to_dict()
assert d["contract_id"] == "c-1"
assert d["author"] == "org-a"
def test_dual_audit_and_policy_blocks():
dv = DualVariables(multipliers={"x": 1.0})
ab = AuditLog(entry="test", signer="org-a", timestamp=datetime(2020, 1, 2), contract_id="c-1", version=1)
pb = PolicyBlock(safety_exposure=0.1, data_exposure_limit=0.2)
assert dv.multipliers["x"] == 1.0
assert ab.signer == "org-a"
assert pb.safety_exposure == 0.1