adding data-services

apps/data-services/data-processor/src/services/DataIngestionService.ts

@@ -0,0 +1,200 @@
+import { logger } from '@stock-bot/utils';
+import { IngestionStep, ProcessingResult, DataSource } from '../types/DataPipeline';
+import axios from 'axios';
+import * as csv from 'csv-parser';
+import * as fs from 'fs';
+
+export class DataIngestionService {
+  private activeConnections: Map<string, any> = new Map();
+
+  async initialize(): Promise<void> {
+    logger.info('🔄 Initializing Data Ingestion Service...');
+    logger.info('✅ Data Ingestion Service initialized');
+  }
+
+  async ingestData(step: IngestionStep, parameters: Record<string, any>): Promise<ProcessingResult> {
+    const startTime = Date.now();
+    logger.info(`📥 Starting data ingestion from ${step.source.type}: ${step.source.connection.url || step.source.connection.host}`);
+
+    try {
+      switch (step.source.type) {
+        case 'api':
+          return await this.ingestFromApi(step.source, parameters);
+        case 'file':
+          return await this.ingestFromFile(step.source, parameters);
+        case 'database':
+          return await this.ingestFromDatabase(step.source, parameters);
+        case 'stream':
+          return await this.ingestFromStream(step.source, parameters);
+        default:
+          throw new Error(`Unsupported ingestion type: ${step.source.type}`);
+      }
+    } catch (error) {
+      const processingTime = Date.now() - startTime;
+      logger.error(`❌ Data ingestion failed after ${processingTime}ms:`, error);
+      
+      return {
+        recordsProcessed: 0,
+        recordsSuccessful: 0,
+        recordsFailed: 0,
+        errors: [{
+          record: 0,
+          message: error instanceof Error ? error.message : 'Unknown error',
+          code: 'INGESTION_ERROR'
+        }],
+        metadata: { processingTimeMs: processingTime }
+      };
+    }
+  }
+
+  private async ingestFromApi(source: DataSource, parameters: Record<string, any>): Promise<ProcessingResult> {
+    const config = {
+      method: 'GET',
+      url: source.connection.url,
+      headers: source.connection.headers || {},
+      params: { ...source.connection.params, ...parameters },
+    };
+
+    if (source.connection.apiKey) {
+      config.headers['Authorization'] = `Bearer ${source.connection.apiKey}`;
+    }
+
+    const response = await axios(config);
+    const data = response.data;
+
+    // Process the data based on format
+    let records: any[] = [];
+    
+    if (Array.isArray(data)) {
+      records = data;
+    } else if (data.data && Array.isArray(data.data)) {
+      records = data.data;
+    } else if (data.results && Array.isArray(data.results)) {
+      records = data.results;
+    } else {
+      records = [data];
+    }
+
+    logger.info(`📊 Ingested ${records.length} records from API: ${source.connection.url}`);
+
+    return {
+      recordsProcessed: records.length,
+      recordsSuccessful: records.length,
+      recordsFailed: 0,
+      errors: [],
+      metadata: {
+        source: 'api',
+        url: source.connection.url,
+        statusCode: response.status,
+        responseSize: JSON.stringify(data).length
+      }
+    };
+  }
+
+  private async ingestFromFile(source: DataSource, parameters: Record<string, any>): Promise<ProcessingResult> {
+    const filePath = source.connection.url || parameters.filePath;
+    
+    if (!filePath) {
+      throw new Error('File path is required for file ingestion');
+    }
+
+    switch (source.format) {
+      case 'csv':
+        return await this.ingestCsvFile(filePath);
+      case 'json':
+        return await this.ingestJsonFile(filePath);
+      default:
+        throw new Error(`Unsupported file format: ${source.format}`);
+    }
+  }
+
+  private async ingestCsvFile(filePath: string): Promise<ProcessingResult> {
+    return new Promise((resolve, reject) => {
+      const records: any[] = [];
+      const errors: any[] = [];
+      let recordCount = 0;
+
+      fs.createReadStream(filePath)
+        .pipe(csv())
+        .on('data', (data) => {
+          recordCount++;
+          try {
+            records.push(data);
+          } catch (error) {
+            errors.push({
+              record: recordCount,
+              message: error instanceof Error ? error.message : 'Parse error',
+              code: 'CSV_PARSE_ERROR'
+            });
+          }
+        })
+        .on('end', () => {
+          logger.info(`📊 Ingested ${records.length} records from CSV: ${filePath}`);
+          resolve({
+            recordsProcessed: recordCount,
+            recordsSuccessful: records.length,
+            recordsFailed: errors.length,
+            errors,
+            metadata: {
+              source: 'file',
+              format: 'csv',
+              filePath
+            }
+          });
+        })
+        .on('error', reject);
+    });
+  }
+
+  private async ingestJsonFile(filePath: string): Promise<ProcessingResult> {
+    const fileContent = await fs.promises.readFile(filePath, 'utf8');
+    const data = JSON.parse(fileContent);
+    
+    let records: any[] = [];
+    
+    if (Array.isArray(data)) {
+      records = data;
+    } else {
+      records = [data];
+    }
+
+    logger.info(`📊 Ingested ${records.length} records from JSON: ${filePath}`);
+
+    return {
+      recordsProcessed: records.length,
+      recordsSuccessful: records.length,
+      recordsFailed: 0,
+      errors: [],
+      metadata: {
+        source: 'file',
+        format: 'json',
+        filePath,
+        fileSize: fileContent.length
+      }
+    };
+  }
+
+  private async ingestFromDatabase(source: DataSource, parameters: Record<string, any>): Promise<ProcessingResult> {
+    // Placeholder for database ingestion
+    // In a real implementation, this would connect to various databases
+    // (PostgreSQL, MySQL, MongoDB, etc.) and execute queries
+    
+    throw new Error('Database ingestion not yet implemented');
+  }
+
+  private async ingestFromStream(source: DataSource, parameters: Record<string, any>): Promise<ProcessingResult> {
+    // Placeholder for stream ingestion
+    // In a real implementation, this would connect to streaming sources
+    // (Kafka, Kinesis, WebSocket, etc.)
+    
+    throw new Error('Stream ingestion not yet implemented');
+  }
+
+  async getIngestionMetrics(): Promise<any> {
+    return {
+      activeConnections: this.activeConnections.size,
+      supportedSources: ['api', 'file', 'database', 'stream'],
+      supportedFormats: ['json', 'csv', 'xml', 'parquet', 'avro']
+    };
+  }
+}