零知识证明集成生成式 AI 的不可变实时合规证据账本

# 安装 OPA
curl -L -o opa https://openpolicyagent.org/downloads/v0.55.0/opa_linux_amd64
chmod +x opa

# 示例策略 (policy.rego)
cat > policy.rego <<'EOF'
package compliance

# 示例规则：静态数据必须使用 AES‑256 加密
allow {
    input.encryption_algo == "AES-256"
}
EOF

static_resources:
  listeners:
    - name: data_connector
      address:
        socket_address:
          address: 0.0.0.0
          port_value: 8443
      filter_chains:
        - filters:
            - name: envoy.filters.network.http_connection_manager
              typed_config:
                "@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
                stat_prefix: ingress_http
                route_config:
                  name: local_route
                  virtual_hosts:
                    - name: backend
                      domains: ["*"]
                      routes:
                        - match: { prefix: "/" }
                          route: { cluster: data_service }
                http_filters:
                  - name: envoy.filters.http.router
  clusters:
    - name: data_service
      connect_timeout: 0.25s
      type: STRICT_DNS
      lb_policy: ROUND_ROBIN
      load_assignment:
        cluster_name: data_service
        endpoints:
          - lb_endpoints:
              - endpoint:
                  address:
                    socket_address:
                      address: data-service.internal
                      port_value: 443
      transport_socket:
        name: envoy.transport_sockets.tls
        typed_config:
          "@type": type.googleapis.com/envoy.extensions.transport_sockets.tls.v3.UpstreamTlsContext
          common_tls_context:
            tls_certificates:
              - certificate_chain:
                  filename: "/etc/envoy/certs/client.crt"
                private_key:
                  filename: "/etc/envoy/certs/client.key"

from langchain import OpenAI, FAISS, PromptTemplate
from langchain.vectorstores import FAISS
from langchain.embeddings import OpenAIEmbeddings

# 加载合规文档
docs = load_documents("./compliance_corpus")
embeddings = OpenAIEmbeddings()
vectorstore = FAISS.from_documents(docs, embeddings)

# 根据策略生成的提示模板
template = """你是一名合规分析师。请提供满足以下规则的证据：
{rule}
仅参考以下文档：
{retrieved_docs}
请以 JSON 格式返回，字段包括：evidence_id, statement, source_refs。"""
prompt = PromptTemplate(template=template, input_variables=["rule", "retrieved_docs"])

# RAG 链
rag_chain = RetrievalQA.from_chain_type(
    llm=OpenAI(temperature=0),
    retriever=vectorstore.as_retriever(),
    prompt=prompt
)

# 安装 snarkjs
npm install -g snarkjs

# 编译电路 (circuit.circom)
snarkjs circom circuit.circom --r1cs --wasm --sym

# 可信设置（每个监管域一次）
snarkjs groth16 setup circuit.r1cs pot12_final.ptau circuit_0000.zkey
snarkjs zkey contribute circuit_0000.zkey circuit_final.zkey --name="Contributor1"

# 生成证明
node generate_proof.js <input.json> circuit_final.zkey proof.json public.json

# fabric-config.yaml（摘录）
Application:
  Organizations:
    - &Org1
      Name: Org1MSP
      ID: Org1MSP
      MSPDir: crypto-config/peerOrganizations/org1.example.com/msp
      AnchorPeers:
        - Host: peer0.org1.example.com
          Port: 7051

func (s *SmartContract) SubmitProof(ctx contractapi.TransactionContextInterface, proofHash string, queryID string) error {
    // 简单校验
    if len(proofHash) != 64 {
        return fmt.Errorf("invalid proof hash")
    }
    // 写入账本
    proofRecord := ProofRecord{Hash: proofHash, QueryID: queryID, Timestamp: time.Now().Unix()}
    proofJSON, _ := json.Marshal(proofRecord)
    return ctx.GetStub().PutState(proofHash, proofJSON)
}

import { verifyProof } from "./zkVerifier.wasm";

async function handleVerify(proof: Uint8Array, publicInputs: Uint8Array) {
  const result = await verifyProof(proof, publicInputs);
  if (result) {
    alert("证明验证通过 – 合规证据有效。");
  } else {
    alert("验证失败 – 证据可能被篡改。");
  }
}