🚀 ساختار کامل پروژه EthVM برای APZ Chain با Kafka Streams

📁 ساختار نهایی ریپوزیتوری GitHub

ethvm-apz-chain/
├── 📁 .github/
│   └── 📁 workflows/
│       ├── ci-cd.yml
│       └── docker-publish.yml
├── 📁 configs/
│   ├── kafka-connect/
│   │   ├── apz-source-connector.json
│   │   └── postgres-sink-connector.json
│   ├── prometheus/
│   │   └── prometheus.yml
│   └── grafana/
│       └── dashboard.yml
├── 📁 docker/
│   ├── kafka-cluster.yml
│   ├── monitoring.yml
│   └── services.yml
├── 📁 packages/
│   ├── 📁 kafka-streams/
│   │   ├── 📁 src/
│   │   │   ├── 📁 processors/
│   │   │   │   ├── apz-transaction-processor.ts
│   │   │   │   ├── apz-token-processor.ts
│   │   │   │   └── apz-block-processor.ts
│   │   │   ├── 📁 schemas/
│   │   │   │   ├── transaction.avsc
│   │   │   │   ├── block.avsc
│   │   │   │   └── token-transfer.avsc
│   │   │   ├── 📁 utils/
│   │   │   │   ├── kafka-config.ts
│   │   │   │   └── metrics.ts
│   │   │   └── index.ts
│   │   ├── package.json
│   │   ├── tsconfig.json
│   │   └── Dockerfile
│   ├── 📁 api-service/
│   │   ├── 📁 src/
│   │   │   ├── 📁 controllers/
│   │   │   ├── 📁 services/
│   │   │   ├── 📁 models/
│   │   │   └── server.ts
│   │   └── package.json
│   ├── 📁 frontend/
│   │   ├── 📁 src/
│   │   │   ├── 📁 components/
│   │   │   ├── 📁 views/
│   │   │   └── main.ts
│   │   └── package.json
│   └── 📁 common/
│       ├── 📁 types/
│       ├── 📁 utils/
│       └── package.json
├── 📁 database/
│   ├── migrations/
│   ├── seeders/
│   └── schema.sql
├── 📁 scripts/
│   ├── deploy.sh
│   ├── monitoring.sh
│   └── kafka-setup.sh
├── .env.example
├── docker-compose.yml
├── package.json
├── README.md
├── LICENSE
└── .gitignore

---

🎯 پردازشگر Kafka Streams برای تراکنش‌های APZ

📁 packages/kafka-streams/src/processors/apz-transaction-processor.ts

import { Kafka, KafkaJS, logLevel } from 'kafkajs';
import { Registry, AvroSerializer } from '@kafkajs/confluent-schema-registry';
import { PrometheusMetrics } from '../utils/metrics';
import { APZTransaction, APZBlock, APZTokenTransfer } from '../../../common/types';

export class APZTransactionProcessor {
  private kafka: Kafka;
  private registry: Registry;
  private metrics: PrometheusMetrics;
  private producer: KafkaJS.Producer;
  private consumer: KafkaJS.Consumer;

  constructor(
    private readonly config: {
      kafkaBrokers: string[];
      schemaRegistryUrl: string;
      sourceTopic: string;
      outputTopic: string;
      groupId: string;
    }
  ) {
    this.kafka = new Kafka({
      clientId: 'apz-transaction-processor',
      brokers: config.kafkaBrokers,
      logLevel: logLevel.INFO,
    });

    this.registry = new Registry({
      host: config.schemaRegistryUrl
    });

    this.metrics = new PrometheusMetrics();
    this.producer = this.kafka.producer();
    this.consumer = this.kafka.consumer({ groupId: config.groupId });
  }

  async start(): Promise<void> {
    await this.connect();
    await this.setupConsumer();

    console.log('🚀 APZ Transaction Processor started successfully');
  }

  private async connect(): Promise<void> {
    await this.producer.connect();
    await this.consumer.connect();
    
    await this.consumer.subscribe({ 
      topic: this.config.sourceTopic, 
      fromBeginning: false 
    });
  }

  private async setupConsumer(): Promise<void> {
    await this.consumer.run({
      eachMessage: async ({ topic, partition, message }) => {
        try {
          const startTime = Date.now();
          
          // دیکد کردن پیام Avro
          const decodedMessage = await this.registry.decode(message.value);
          const processedData = await this.processTransaction(decodedMessage);

          // تولید پیام پردازش شده
          await this.produceProcessedMessage(processedData);

          // ثبت متریک‌ها
          this.metrics.recordTransactionProcessed(
            'success',
            Date.now() - startTime
          );

        } catch (error) {
          console.error('Error processing transaction:', error);
          this.metrics.recordTransactionProcessed('error', 0);
        }
      },
    });
  }

  private async processTransaction(rawTransaction: any): Promise<APZTransaction> {
    // پردازش تراکنش APZ
    const processedTx: APZTransaction = {
      hash: rawTransaction.hash,
      blockNumber: rawTransaction.blockNumber,
      blockHash: rawTransaction.blockHash,
      from: rawTransaction.from,
      to: rawTransaction.to,
      value: this.convertHexToWei(rawTransaction.value),
      gas: BigInt(rawTransaction.gas),
      gasPrice: BigInt(rawTransaction.gasPrice),
      input: rawTransaction.input,
      nonce: rawTransaction.nonce,
      transactionIndex: rawTransaction.transactionIndex,
      timestamp: Date.now(),
      status: 'pending',
      chainId: this.config.chainId || 'apz-mainnet',
      
      // فیلدهای مخصوص APZ Chain
      apzSpecific: {
        tokenTransfers: await this.extractTokenTransfers(rawTransaction),
        contractInteractions: this.parseContractInteractions(rawTransaction),
        fee: this.calculateTransactionFee(rawTransaction)
      }
    };

    // اعتبارسنجی تراکنش
    this.validateTransaction(processedTx);

    return processedTx;
  }

  private async extractTokenTransfers(tx: any): Promise<APZTokenTransfer[]> {
    const transfers: APZTokenTransfer[] = [];

    // پردازش انتقال توکن‌های APZ
    if (tx.input && tx.input !== '0x') {
      try {
        // تشخیص استانداردهای توکن (ERC-20, ERC-721, etc.)
        const tokenStandard = this.detectTokenStandard(tx.input);
        
        if (tokenStandard === 'ERC20') {
          const transfer = this.parseERC20Transfer(tx);
          if (transfer) transfers.push(transfer);
        }

        // اضافه کردن سایر استانداردها
        if (tokenStandard === 'ERC721') {
          const transfer = this.parseERC721Transfer(tx);
          if (transfer) transfers.push(transfer);
        }

      } catch (error) {
        console.warn('Failed to extract token transfers:', error);
      }
    }

    return transfers;
  }

  private parseERC20Transfer(tx: any): APZTokenTransfer | null {
    // پیاده‌سازی پارس کردن تراکنش‌های ERC-20
    try {
      // اینجا باید ABI مربوط به توکن‌های APZ پیاده‌سازی شود
      return {
        type: 'ERC20',
        from: tx.from,
        to: this.decodeAddress(tx.input, 4), // استخراج آدرس مقصد از input
        value: this.decodeUint256(tx.input, 36), // استخراج مقدار از input
        tokenAddress: tx.to,
        transactionHash: tx.hash,
        logIndex: 0
      };
    } catch (error) {
      return null;
    }
  }

  private calculateTransactionFee(tx: any): bigint {
    const gasUsed = BigInt(tx.gasUsed || tx.gas);
    const gasPrice = BigInt(tx.gasPrice);
    return gasUsed * gasPrice;
  }

  private validateTransaction(tx: APZTransaction): void {
    const errors: string[] = [];

    if (!tx.hash || tx.hash.length !== 66) {
      errors.push('Invalid transaction hash');
    }

    if (!tx.from || !this.isValidAddress(tx.from)) {
      errors.push('Invalid from address');
    }

    if (tx.to && !this.isValidAddress(tx.to)) {
      errors.push('Invalid to address');
    }

    if (errors.length > 0) {
      throw new Error(`Transaction validation failed: ${errors.join(', ')}`);
    }
  }

  private isValidAddress(address: string): boolean {
    return /^0x[a-fA-F0-9]{40}$/.test(address);
  }

  private convertHexToWei(hexValue: string): bigint {
    return BigInt(hexValue);
  }

  private async produceProcessedMessage(processedTx: APZTransaction): Promise<void> {
    const encodedMessage = await this.registry.encode(processedTx);
    
    await this.producer.send({
      topic: this.config.outputTopic,
      messages: [
        {
          key: processedTx.hash,
          value: encodedMessage
        }
      ]
    });
  }

  async shutdown(): Promise<void> {
    await this.consumer.disconnect();
    await this.producer.disconnect();
    console.log('APZ Transaction Processor shutdown complete');
  }
}

---

📁 packages/kafka-streams/src/processors/apz-block-processor.ts

import { Kafka } from 'kafkajs';

export class APZBlockProcessor {
  constructor(private kafka: Kafka) {}

  async processBlock(rawBlock: any): Promise<any> {
    const processedBlock = {
      ...rawBlock,
      apzMetrics: {
        totalDifficulty: BigInt(rawBlock.totalDifficulty),
        size: rawBlock.size,
        gasUsed: BigInt(rawBlock.gasUsed),
        gasLimit: BigInt(rawBlock.gasLimit),
        timestamp: new Date(parseInt(rawBlock.timestamp) * 1000),
        transactionCount: rawBlock.transactions.length,
        uncleCount: rawBlock.uncles.length
      },
      processedAt: new Date().toISOString()
    };

    // محاسبه متریک‌های زنجیره APZ
    const chainMetrics = this.calculateChainMetrics(processedBlock);

    return {
      ...processedBlock,
      chainMetrics
    };
  }

  private calculateChainMetrics(block: any) {
    return {
      tps: this.calculateTPS(block),
      blockTime: this.calculateBlockTime(block),
      gasUtilization: Number(block.apzMetrics.gasUsed) / Number(block.apzMetrics.gasLimit),
      difficulty: Number(block.apzMetrics.totalDifficulty)
    };
  }

  private calculateTPS(block: any): number {
    // محاسبه تراکنش در ثانیه
    return block.apzMetrics.transactionCount / 15; // فرض بر 15 ثانیه بلاک تایم
  }

  private calculateBlockTime(block: any): number {
    // محاسبه زمان بین بلاک‌ها
    return 15; // مقدار نمونه
  }
}

---

📁 packages/kafka-streams/src/utils/metrics.ts

import client from 'prom-client';

export class PrometheusMetrics {
  private transactionCounter: client.Counter;
  private processingDuration: client.Histogram;
  private errorCounter: client.Counter;
  private blockGauge: client.Gauge;

  constructor() {
    this.transactionCounter = new client.Counter({
      name: 'apz_transactions_processed_total',
      help: 'Total number of APZ transactions processed',
      labelNames: ['status', 'type']
    });

    this.processingDuration = new client.Histogram({
      name: 'apz_processing_duration_seconds',
      help: 'Time taken to process APZ transactions',
      buckets: [0.1, 0.5, 1, 2, 5]
    });

    this.errorCounter = new client.Counter({
      name: 'apz_processing_errors_total',
      help: 'Total number of processing errors',
      labelNames: ['error_type']
    });

    this.blockGauge = new client.Gauge({
      name: 'apz_latest_block_number',
      help: 'Latest APZ block number processed'
    });
  }

  recordTransactionProcessed(status: string, duration: number): void {
    this.transactionCounter.inc({ status });
    this.processingDuration.observe(duration / 1000);
  }

  recordError(errorType: string): void {
    this.errorCounter.inc({ error_type: errorType });
  }

  updateLatestBlock(blockNumber: number): void {
    this.blockGauge.set(blockNumber);
  }
}

---

📁 packages/kafka-streams/src/schemas/transaction.avsc

{
  "type": "record",
  "name": "APZTransaction",
  "namespace": "com.ethvm.apz",
  "fields": [
    {
      "name": "hash",
      "type": "string"
    },
    {
      "name": "blockNumber",
      "type": "long"
    },
    {
      "name": "from",
      "type": "string"
    },
    {
      "name": "to",
      "type": ["null", "string"]
    },
    {
      "name": "value",
      "type": "string"
    },
    {
      "name": "gas",
      "type": "long"
    },
    {
      "name": "gasPrice",
      "type": "long"
    },
    {
      "name": "input",
      "type": "string"
    },
    {
      "name": "timestamp",
      "type": "long"
    },
    {
      "name": "status",
      "type": {
        "type": "enum",
        "name": "TransactionStatus",
        "symbols": ["pending", "confirmed", "failed"]
      }
    },
    {
      "name": "apzSpecific",
      "type": {
        "type": "record",
        "name": "APZSpecificData",
        "fields": [
          {
            "name": "tokenTransfers",
            "type": {
              "type": "array",
              "items": {
                "type": "record",
                "name": "TokenTransfer",
                "fields": [
                  {"name": "type", "type": "string"},
                  {"name": "from", "type": "string"},
                  {"name": "to", "type": "string"},
                  {"name": "value", "type": "string"},
                  {"name": "tokenAddress", "type": "string"}
                ]
              }
            }
          },
          {
            "name": "fee",
            "type": "long"
          }
        ]
      }
    }
  ]
}

---

🐳 فایل‌های Docker

📄 docker-compose.yml

version: '3.8'

services:
  # کافکا کلاستر
  zookeeper:
    image: confluentinc/cp-zookeeper:7.3.0
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
    ports:
      - "2181:2181"

  kafka:
    image: confluentinc/cp-kafka:7.3.0
    depends_on:
      - zookeeper
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:9092,PLAINTEXT_HOST://localhost:9092
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_NUM_PARTITIONS: 3
    ports:
      - "9092:9092"

  schema-registry:
    image: confluentinc/cp-schema-registry:7.3.0
    depends_on:
      - kafka
    environment:
      SCHEMA_REGISTRY_HOST_NAME: schema-registry
      SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: kafka:9092
      SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
    ports:
      - "8081:8081"

  # پردازشگرهای APZ
  apz-transaction-processor:
    build:
      context: ./packages/kafka-streams
      dockerfile: Dockerfile
    environment:
      KAFKA_BROKERS: kafka:9092
      SCHEMA_REGISTRY_URL: http://schema-registry:8081
      SOURCE_TOPIC: raw-apz-blocks
      OUTPUT_TOPIC: processed-apz-transactions
      GROUP_ID: apz-transaction-processor
      METRICS_PORT: 9090
    depends_on:
      - kafka
      - schema-registry
    ports:
      - "9095:9090"

  # مانیتورینگ
  prometheus:
    image: prom/prometheus:latest
    ports:
      - "9090:9090"
    volumes:
      - ./configs/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml

  grafana:
    image: grafana/grafana:latest
    ports:
      - "3000:3000"
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=admin
    volumes:
      - ./configs/grafana/dashboard.yml:/etc/grafana/provisioning/dashboards/

  # دیتابیس
  postgres:
    image: postgres:14
    environment:
      POSTGRES_DB: apz_indexer
      POSTGRES_USER: apz_user
      POSTGRES_PASSWORD: apz_password
    ports:
      - "5432:5432"
    volumes:
      - postgres_data:/var/lib/postgresql/data

volumes:
  postgres_data:
  kafka_data:

---

🔧 فایل‌های پیکربندی

📄 configs/kafka-connect/apz-source-connector.json

{
  "name": "apz-blockchain-source",
  "config": {
    "connector.class": "io.confluent.connect.ethereum.EthereumBlockConnector",
    "tasks.max": "1",
    "ethereum.url": "https://rpc.apzchain.org",
    "topic": "raw-apz-blocks",
    "start.block": "latest",
    "batch.size": "100",
    "schema.registry.url": "http://schema-registry:8081",
    "value.converter": "io.confluent.connect.avro.AvroConverter",
    "value.converter.schema.registry.url": "http://schema-registry:8081"
  }
}

---

📝 فایل‌های راهنما

📄 README.md

# EthVM for APZ Chain with Kafka Streams

یک پیاده‌سازی کامل از EthVM برای APZ Chain با پردازشگرهای Kafka Streams.

## 🚀 شروع سریع

### پیش‌نیازها
- Docker & Docker Compose
- Node.js 18+
- pnpm

### راه‌اندازی

1. **کلون کردن ریپوزیتوری**
```bash
git clone https://github.com/your-username/ethvm-apz-chain.git
cd ethvm-apz-chain

1. کپی فایل محیطی

cp .env.example .env

1. راه‌اندازی سرویس‌ها

docker-compose up -d

1. راه‌اندازی پردازشگرها

pnpm install
pnpm build
pnpm start:processors

📊 مانیتورینگ

· Grafana: http://localhost:3000 (admin/admin) · Prometheus: http://localhost:9090 · Kafka UI: http://localhost:8080

🏗️ معماری

این پروژه از معماری زیر استفاده می‌کند:

1. Data Ingestion: Kafka Connect برای دریافت داده از APZ RPC
2. Stream Processing: Kafka Streams برای پردازش تراکنش‌ها
3. Storage: PostgreSQL برای ذخیره داده‌های پردازش شده
4. API: NestJS برای سرویس API
5. Frontend: Vue.js برای رابط کاربری

---

### 📄 `package.json` اصلی

```json
{
  "name": "ethvm-apz-chain",
  "version": "1.0.0",
  "description": "EthVM implementation for APZ Chain with Kafka Streams",
  "scripts": {
    "dev": "concurrently \"pnpm dev:processors\" \"pnpm dev:api\" \"pnpm dev:frontend\"",
    "dev:processors": "cd packages/kafka-streams && pnpm dev",
    "build": "lerna run build",
    "test": "lerna run test",
    "docker:build": "docker-compose build",
    "docker:up": "docker-compose up -d",
    "docker:down": "docker-compose down",
    "deploy:prod": "./scripts/deploy.sh production"
  },
  "devDependencies": {
    "lerna": "^6.0.0",
    "concurrently": "^7.0.0",
    "typescript": "^4.9.0"
  }
}

---

🎯 راهنمای استقرار در GitHub

1. ایجاد ریپوزیتوری جدید در GitHub
2. راه‌اندازی اولیه:

git init
git add .
git commit -m "feat: initial EthVM APZ Chain implementation with Kafka Streams"
git branch -M main
git remote add origin https://github.com/your-username/ethvm-apz-chain.git
git push -u origin main

1. تنظیم GitHub Actions (به صورت خودکار از .github/workflows/ اجرا می‌شود)

این ساختار کامل، تمام نیازهای یک پیاده‌سازی حرفه‌ای EthVM برای APZ Chain با پردازشگرهای Kafka Streams را پوشش می‌دهد.