Fix: Resolve Pipeline 500 Error and Improve Data Processing#1
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- Fix dbt port configuration (5432 → 5433) to match PostgreSQL Docker setup - Add robust CSV column name cleaning to handle numeric column names - Improve error handling in worker with detailed logging and traceback - Fix dbt model generation to use consistent column naming - Add dbt build artifacts to .gitignore Fixes the 'Run Pipeline' 500 error by: 1. Starting worker service properly with uvicorn 2. Correcting database port mismatch 3. Handling edge cases in CSV column names (e.g., '1958' → 'col_1958') 4. Ensuring dbt models use cleaned column names consistently Pipeline now successfully: - Downloads CSV from MinIO - Loads data to PostgreSQL staging - Generates and runs dbt transformations - Dispatches results to Slack Resolves: Pipeline execution errors and data processing issues
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🐛 Bug Fix: Pipeline 500 Error Resolution
The 'Run Pipeline' button was returning a 500 Internal Server Error, preventing the data pipeline from executing successfully.
Root Causes Identified
"1958"caused PostgreSQL syntax errorsSolutions Implemented
1. Fixed dbt Port Configuration
dbt/relayboard/profiles.ymlto use port 5433 instead of 54322. Enhanced CSV Column Name Handling
"1958"are now converted tocol_19583. Improved Error Handling
4. Fixed dbt Model Generation
5. Updated .gitignore
target/,.user.yml) to prevent committing build filesTesting Results
Pipeline now works successfully!
What's Working Now
Video DEMO:
Screen.Recording.Oct.16.2025.1.1.mov