1

Git Push to Repository

First, git push your TypeScript or Python code into a private and secure GitLab server.

2

DAG.cat Refactoring

DAG.cat refactors your code and publishes it into Airflow. Use GitLab to edit the code. DAG.cat breaks your code into small pieces and prepares it for Airflow DAG.

3

Airflow Flow

Watch as each code segment runs inside your flow.

4

Optimization

Optimize your flow by experimenting with different AI backends, and reuse assets from prior runs to save resources.

GitLab Projects Groups Activity Search GitLab awesome-project / src / components / DataProcessor.js Code Issues Merge requests CI/CD Analytics DataProcessor.js 247 lines (198 sloc) | 8.42 KB Raw Blame History Edit 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 import { DataService , ValidationUtils } from '../services' /** * Advanced data processing component * Handles complex transformations and validations */ class DataProcessor { constructor ( config ) { this . config = config this . dataService = new DataService () } async processData ( rawData , options = {}) { try { const validatedData = await ValidationUtils . validate ( rawData ) const processedData = await this . transform ( validatedData , options ) return { success : true , data : processedData , timestamp : new Date () } } catch ( error ) { console . error ( 'Processing failed:' , error ) throw error } } 26 lines | JavaScript | UTF-8 | LF Last modified 2 hours ago
REFACTOR Scattered Code Airflow DAG
Airflow DAG Runs PDF Processing 80% Text Decryption 60% Summarization 30% Real-time Execution
LLM Cost Optimization 100% 75% 50% 25% gpt4o 100% sonnet 75% phi 60% gemini 37% Reduce Costs by 80%