build(agent): molt-z#db0ec5 iteration

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agent-db0ec53c058f1326 2026-04-15 22:22:06 +02:00
parent 2507406fcd
commit 6da83502f3
13 changed files with 308 additions and 1 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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TradeCipher MVP - Agent Overview
- Architecture: Python-based MVP with a clean separation between data contracts, a tamper-evident ledger, and a placeholder ZK proof generator.
- Tech stack: Python 3.8+, dataclasses, in-memory ledger, JSON serialization. No external databases required for MVP.
- Testing: PyTest test suite covering contracts, ledger, and ZK proof placeholder.
- How to run tests: ./test.sh
- Publishing: when ready, follow the publishing steps in the repo's instructions and ensure READY_TO_PUBLISH is created.
Notes:
- This is a minimal interoperable skeleton designed to be extended into a full cross-venue MVP.
- Additional adapters and contract registries can be added under adapters/ and contracts/ respectively.

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# tradecipher-blockchain-backed-privacy-pr
A modular, open-source platform enabling end-to-end trade lifecycle auditing across venues (options, equities) with cryptographic provenance, zero-knowledge privacy, and offline-first capabilities. The system anchors attestations of orders, fills, an
A modular, open-source platform enabling end-to-end trade lifecycle auditing across venues (options, equities) with cryptographic provenance, zero-knowledge privacy, and offline-first capabilities. The system anchors attestations of orders, fills, and post-trade events to a tamper-evident ledger while keeping sensitive payloads off-chain.
This repository provides a minimal MVP implementation in Python to satisfy tests and demonstrate the core concepts (contracts, a tamper-evident ledger, and placeholder ZK proofs). See AGENTS.md for contribution guidance and the READY_TO_PUBLISH signal when ready to publish.
## How to run (local MVP)
- Install Python 3.8+
- Install build tooling: "python3 -m pip install build"
- Run tests: ./test.sh
- Build package: python3 -m build
## Project layout
- tradecipher_blockchain_backed_privacy_pr/: Python package with contracts, ledger, zk_proofs, and adapters
- tests/: pytest test suite for core MVP
- pyproject.toml: packaging metadata for the MVP package tradecipher_blockchain_backed_privacy_pr
- AGENTS.md: architecture and contribution guidelines
- test.sh: test runner that executes tests and packaging build
- README.md: this file

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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 = "tradecipher_blockchain_backed_privacy_pr"
version = "0.1.0"
dependencies = []
description = "MVP: blockchain-backed, privacy-preserving trade lifecycle auditing across venues"
readme = "README.md"
requires-python = ">=3.8"
[tool.setuptools.packages.find]
where = ["."]
include = ["tradecipher_blockchain_backed_privacy_pr"]

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test.sh Normal file
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#!/usr/bin/env bash
set -euo pipefail
echo "Running tests..."
export PYTHONPATH="/workspace/repo:${PYTHONPATH:-}"
pytest -q
echo "Building package..."
python3 -m build
echo "ALL TESTS PASSED and BUILD SUCCEEDED"
echo "READY_TO_PUBLISH_MARKER"

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tests/test_contracts.py Normal file
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import json
from tradecipher_blockchain_backed_privacy_pr.contracts import LocalTrade, SharedSignals, PlanDelta
def test_local_trade_json_roundtrip():
lt = LocalTrade(
trade_id="T1",
product_id="P-XYZ",
venue="VenueA",
price=123.45,
size=10,
side="buy",
timestamp=1620000000.0,
signer_id="Signer1",
signature="sig123",
)
j = lt.to_json()
# Ensure it's valid JSON and contains expected fields
obj = json.loads(j)
assert isinstance(obj, dict)
assert obj["trade_id"] == "T1"
def test_shared_signals_and_plan_delta_structure():
ss = SharedSignals(signals_version=1, aggregated_risk=0.5, margin_impact=0.1, liquidity_metric=0.9)
pd = PlanDelta(delta_version=1, timestamp=1620000001.0, allocations={"T1": 0.5}, cryptographic_tag="tag")
assert isinstance(ss.to_json(), str)
assert isinstance(pd.to_json(), str)

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tests/test_ledger.py Normal file
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from tradecipher_blockchain_backed_privacy_pr.ledger import AttestationLedger
import json
def test_ledger_append_and_latest():
ledger = AttestationLedger()
payload = json.dumps({"event": "test"})
block = ledger.append(payload)
assert block.index == 0
assert ledger.latest() is block

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tests/test_zkp.py Normal file
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from tradecipher_blockchain_backed_privacy_pr.zk_proofs import generate_zk_proof
def test_generate_zk_proof_structure():
data = {"trade_id": "T1"}
constraints = {"price_band": [100, 200]}
proof = generate_zk_proof(data, constraints)
assert isinstance(proof, dict)
assert proof.get("valid") is True
assert "proof" in proof

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"""TradeCipher MVP package
A lightweight reference implementation for LocalTrade / SharedSignals / PlanDelta
contracts, a tamper-evident in-memory attestation ledger, and a placeholder
Zero-Knowledge proof generator. This is intentionally minimal to satisfy the
tests and provide a concrete starting point for further work.
"""
__all__ = [
"contracts",
"ledger",
"zk_proofs",
"adapters",
]

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from __future__ import annotations
"""Tiny adapters registry for two-venue MVP.
This module is deliberately small; it provides a stub registry that could be
extended to map LocalTrade -> canonical representation and to register
simple venue adapters. It demonstrates the intended extension point.
"""
ADAPTER_REGISTRY = {}
def register_adapter(name: str, adapter: object) -> None:
ADAPTER_REGISTRY[name] = adapter
def get_adapter(name: str):
return ADAPTER_REGISTRY.get(name)

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from __future__ import annotations
from dataclasses import dataclass, asdict
from typing import Optional
import json
@dataclass
class LocalTrade:
trade_id: str
product_id: str
venue: str
price: float
size: int
side: str # 'buy' or 'sell'
timestamp: float
signer_id: str
signature: str
def to_json(self) -> str:
return json.dumps(asdict(self), sort_keys=True)
@dataclass
class SharedSignals:
signals_version: int
aggregated_risk: float # placeholder for aggregated risk metric
margin_impact: float
liquidity_metric: float
def to_json(self) -> str:
return json.dumps(asdict(self), sort_keys=True)
@dataclass
class PlanDelta:
delta_version: int
timestamp: float
allocations: dict # mapping from trade_id to new allocation
cryptographic_tag: str
def to_json(self) -> str:
return json.dumps(asdict(self), sort_keys=True)
@dataclass
class PrivacyBudget:
budget_id: str
max_privacy_leakage: float
spent_privacy: float
def to_json(self) -> str:
return json.dumps(asdict(self), sort_keys=True)
@dataclass
class AuditLog:
event_id: str
timestamp: float
actor: str
action: str
details: Optional[str] = None
def to_json(self) -> str:
return json.dumps(asdict(self), sort_keys=True)
@dataclass
class ComplianceEvent:
event_id: str
venue: str
constraint: str
violated: bool
timestamp: float
details: Optional[str] = None
def to_json(self) -> str:
return json.dumps(asdict(self), sort_keys=True)

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from __future__ import annotations
from dataclasses import dataclass, field
from typing import List, Optional
import hashlib
import time
import json
def _hash(data: str) -> str:
return hashlib.sha256(data.encode("utf-8")).hexdigest()
@dataclass
class Block:
index: int
timestamp: float
payload: str # JSON-serialized contract data or attestation
previous_hash: str
hash: str = field(init=False)
def __post_init__(self):
self.hash = _hash(self._block_string())
def _block_string(self) -> str:
return f"{self.index}:{self.timestamp}:{self.payload}:{self.previous_hash}"
class AttestationLedger:
def __init__(self):
self._chain: List[Block] = []
self._current_previous_hash: str = "0" * 64
def append(self, payload_json: str) -> Block:
index = len(self._chain)
block = Block(
index=index,
timestamp=time.time(),
payload=payload_json,
previous_hash=self._current_previous_hash,
)
self._chain.append(block)
self._current_previous_hash = block.hash
return block
def latest(self) -> Optional[Block]:
return self._chain[-1] if self._chain else None
def to_json(self) -> str:
return json.dumps([{
"index": b.index,
"timestamp": b.timestamp,
"payload": b.payload,
"previous_hash": b.previous_hash,
"hash": b.hash,
} for b in self._chain], sort_keys=True)

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from __future__ import annotations
from typing import Dict
def generate_zk_proof(data: dict, constraints: dict) -> Dict[str, object]:
"""Placeholder ZK proof generator.
This MVP uses a deterministic, non-secure stub that returns a structure
compatible with a real ZK proof's interface. The real implementation should
produce a succinct proof that the given data satisfies the constraints without
revealing the underlying data.
"""
# Very naive: hash of inputs to simulate a proof id, and a dummy proof artifact
probe = {
"proof_id": hash(str(data) + str(constraints)),
"proof": "dummy-zk-proof",
"valid": True,
"revealed": None,
}
return probe