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

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agent-7e3bbc424e07835b 2026-04-20 16:13:12 +02:00
parent 083b390085
commit 40d5747c31
16 changed files with 324 additions and 2 deletions

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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
Overview
- This repository implements a production-oriented MVP for a verifiable algebraic DSL to model cross-server game economies.
- Architecture emphasizes modular adapters, a canonical IR, and a governance ledger with delta-sync semantics.
Tech Stack
- Python 3.8+ for core modeling and adapters
- Minimal in-repo DSL primitives (LocalEconomy, SharedSignal, PlanDelta)
- Adapters: server economy engine adapter and marketplace adapter
- Registry: GraphOfContractsRegistry for versioned contracts and adapters mapping
Testing and Commands
- Tests run with pytest (unit tests and a small integration test)
- test.sh orchestrates pytest and python -m build for packaging verification
How to contribute
- Implement a new adapter under adapters/ to plug a new backend
- Extend the DSL primitives in dsl.py and wire through core.py for simulations
- Update tests to cover new behavior
- Update README and add any necessary documentation in the package
Code Organization (high-level)
- src/idea76_gameeconomy_studio_verifiable/dsl.py: DSL primitives (LocalEconomy, SharedSignal, PlanDelta, GraphContract)
- src/idea76_gameeconomy_studio_verifiable/core.py: EconomyEngine that runs deterministic simulations
- src/idea76_gameeconomy_studio_verifiable/adapters/: starter adapters for server engine and marketplace
- src/idea76_gameeconomy_studio_verifiable/registry.py: GraphOfContracts registry
- tests/: basic unit and integration tests
- README.md, AGENTS.md, test.sh, READY_TO_PUBLISH: publish scaffolding
Roadmap reference
- Phase 0: DSL prototype, two adapters, toy cross-server scenario, deterministic backtesting
- Phase 1: Global constraints and governance ledger skeleton, secure aggregation for cross-server signals
- Phase 2: Cross-server demo with basic contract example and adapter blueprint
- Phase 3: End-to-end pilot in testbed with delta-sync and auditability

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# idea76-gameeconomy-studio-verifiable
# GameEconomy Studio: Verifiable Algebraic DSL for Cross-Server In-Game Economies
Source logic for Idea #76
This repository contains a production-oriented prototype of a verifiable algebraic DSL for cross-server in-game economies. The MVP focuses on:
- Defining local economies (currencies, items, budgets)
- Lightweight adapters to server backends and marketplaces
- Deterministic backtesting and delta-sync semantics
- A pluggable, versioned Graph-of-Contracts registry for interoperability
- Privacy-preserving and auditable governance storytelling
Architecture overview, how to run tests, and extension points are described in AGENTS.md and tests.
Note: This is a production-oriented seed working toward Phase 0-1 MVPs per the roadmap. See AGENTS.md for deployment and testing commands.

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pyproject.toml Normal file
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[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "idea76_gameeconomy_studio_verifiable"
version = "0.1.0"
description = "Verifiable Algebraic DSL for Cross-Server In-Game Economies"
authors = [{name = "OpenCode"}]
license = {text = "MIT"}
readme = "README.md"
requires-python = ">=3.8"
dependencies = []

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setup.py Normal file
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from setuptools import setup, find_packages
setup(
name="idea76_gameeconomy_studio_verifiable",
version="0.1.0",
description="Verifiable Algebraic DSL for Cross-Server In-Game Economies",
packages=find_packages(where="src"),
package_dir={"": "src"},
python_requires=">=3.8",
install_requires=[],
)

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"""Idea76 GameEconomy Studio Verifiable DSL package init."""
from .dsl import LocalEconomy, SharedSignal, PlanDelta, GraphContract # noqa: F401
from .core import EconomyEngine # noqa: F401
from .registry import GraphOfContractsRegistry # noqa: F401
from .adapters.server_engine_adapter import ServerEconomyAdapter # noqa: F401
from .adapters.marketplace_adapter import MarketplaceAdapter # noqa: F401

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"""Adapters for GameEconomy Studio"""
from .server_engine_adapter import ServerEconomyAdapter
from .marketplace_adapter import MarketplaceAdapter

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from __future__ import annotations
from typing import List
from ..dsl import SharedSignal, PlanDelta
class MarketplaceAdapter:
"""Adapter for in-game marketplace interactions."""
def __init__(self):
self.signals: List[SharedSignal] = []
def fetch_market_signals(self) -> List[SharedSignal]:
# In a real implementation this would query a marketplace API.
# For the MVP, return a synthetic signal if none exist.
if not self.signals:
self.signals = [SharedSignal("Marketplace", "price_pressure", 0.1, 0)]
return self.signals
def apply_delta(self, delta: PlanDelta) -> None:
# No-op for MVP; in a real adapter we'd translate plan deltas into marketplace actions.
pass

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from __future__ import annotations
from typing import Dict, List
from ..dsl import LocalEconomy, PlanDelta, SharedSignal
from ..core import EconomyEngine
class ServerEconomyAdapter:
"""Adapter bridging a server-side economy engine to the canonical IR."""
def __init__(self, economies: List[LocalEconomy]):
self.engine = EconomyEngine(economies)
def export_state(self, signals: List[SharedSignal], delta: PlanDelta) -> Dict[str, dict]:
# Produce IR for current round given signals and delta
return self.engine.simulate_round(signals, delta)
def import_state(self, ir: Dict[str, dict]) -> None:
# For a minimal prototype, we'll not mutate internal state here.
# In a fuller implementation, we would sync engine states from IR.
pass

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from __future__ import annotations
from typing import List, Dict
from .dsl import LocalEconomy, SharedSignal, PlanDelta
from .dsl import compile_ir
class EconomyEngine:
"""Deterministic, per-round economy engine.
- Holds a collection of LocalEconomy models.
- simulate_round applies delta changes and respects per-economy budgets.
- Returns a per-economy state dictionary representing the IR after the round.
"""
def __init__(self, local_economies: List[LocalEconomy]):
self.local_economies = local_economies
def simulate_round(self, signals: List[SharedSignal], delta: PlanDelta) -> Dict[str, dict]:
# Producer-friendly deterministic delta application.
ir = compile_ir(self.local_economies, signals, delta)
# Simple post-processing could go here (e.g., governance checks)
return ir

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from __future__ import annotations
from dataclasses import dataclass, field
from typing import Dict, List
@dataclass
class LocalEconomy:
name: str
currencies: List[str] = field(default_factory=list)
items: List[str] = field(default_factory=list)
budgets: Dict[str, float] = field(default_factory=dict)
@dataclass
class SharedSignal:
shard: str
signal_type: str
value: float
timestamp: int
@dataclass
class PlanDelta:
round_id: int
changes: Dict[str, float] = field(default_factory=dict)
@dataclass
class GraphContract:
contract_id: str
description: str
version: int
def compile_ir(local_economies: List[LocalEconomy], signals: List[SharedSignal], delta: PlanDelta) -> Dict[str, dict]:
"""A tiny deterministic IR compiler stub that aggregates per-economy state."""
ir: Dict[str, dict] = {}
for le in local_economies:
# Basic deterministic initial state per economy
state = {
"name": le.name,
"currencies": {c: 1000 for c in le.currencies},
"items": {i: 5 for i in le.items},
"budgets": le.budgets,
}
# Apply delta changes if provided for each currency
for cur in le.currencies:
key = f"currency:{cur}"
delta_val = delta.changes.get(key, 0.0)
if cur in state["currencies"]:
new_val = int(state["currencies"][cur] + delta_val)
# Respect inflation cap if defined
cap = le.budgets.get("inflation_cap")
if cap is not None:
max_supply = int(1000 * (1.0 + cap))
if new_val > max_supply:
new_val = max_supply
if new_val < 0:
new_val = 0
state["currencies"][cur] = new_val
ir[le.name] = state
return ir

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from __future__ import annotations
from dataclasses import dataclass
from typing import Dict, Optional
from .dsl import GraphContract
@dataclass
class GraphOfContractsRegistry:
contracts: Dict[str, GraphContract]
def __init__(self) -> None:
self.contracts = {}
def register_contract(self, contract: GraphContract) -> None:
self.contracts[contract.contract_id] = contract
def get_contract(self, contract_id: str) -> Optional[GraphContract]:
return self.contracts.get(contract_id)

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#!/usr/bin/env bash
set -euo pipefail
echo "Running unit tests with pytest..."
pytest -q
echo "Building Python package..."
python3 -m build
echo "All tests passed and package built successfully."

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import sys
import os
# Ensure the src/ package is importable during 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_core.py Normal file
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import pytest
from idea76_gameeconomy_studio_verifiable.dsl import LocalEconomy, SharedSignal, PlanDelta
from idea76_gameeconomy_studio_verifiable.core import EconomyEngine
def test_inflation_cap_and_delta_application():
le = LocalEconomy(
name="ShardA",
currencies=["GEM"],
items=["Sword"],
budgets={"inflation_cap": 0.05},
)
engine = EconomyEngine([le])
delta = PlanDelta(round_id=1, changes={"currency:GEM": 100})
signals = [SharedSignal("ShardA", "liquidity", 0.8, 1)]
ir = engine.simulate_round(signals, delta)
assert "ShardA" in ir
shard = ir["ShardA"]
assert shard["currencies"]["GEM"] >= 0
# Ensure that the delta applied increased the GEM amount by approximately the delta (subject to cap)
assert shard["currencies"]["GEM"] <= 1000 + 100 # cap logic in MVP is loose; keep bounds reasonable

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from idea76_gameeconomy_studio_verifiable.dsl import LocalEconomy, SharedSignal, PlanDelta
from idea76_gameeconomy_studio_verifiable.core import EconomyEngine
def test_two_shards_deterministic_backtest():
shard1 = LocalEconomy(
name="Shard1",
currencies=["COIN"],
items=["Shield"],
budgets={"inflation_cap": 0.03},
)
shard2 = LocalEconomy(
name="Shard2",
currencies=["COIN"],
items=["Bow"],
budgets={"inflation_cap": 0.04},
)
engine = EconomyEngine([shard1, shard2])
delta = PlanDelta(round_id=1, changes={"currency:COIN": 50})
signals = [SharedSignal("Shard1", "liquidity", 0.6, 1), SharedSignal("Shard2", "liquidity", 0.7, 1)]
ir = engine.simulate_round(signals, delta)
assert "Shard1" in ir and "Shard2" in ir
assert ir["Shard1"]["currencies"]["COIN"] >= 0
assert ir["Shard2"]["currencies"]["COIN"] >= 0