# Data Pipeline Processor Error Handling

> Sub-skill of data-pipeline-processor: Error Handling.

- Skill: `vamseeachanta/data-pipeline-processor-error-handling` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/data-pipeline-processor-error-handling`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/data-pipeline-processor-error-handling/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/data-pipeline-processor-error-handling

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# Error Handling

## Error Handling


### Common Errors


| Error | Cause | Solution |
|-------|-------|----------|
| `UnicodeDecodeError` | Wrong encoding | Use DataReader with encoding fallback |
| `KeyError` | Missing column | Check column names in config |
| `ValueError` | Type conversion failed | Use errors='coerce' or validate first |
| `MemoryError` | File too large | Use chunked reading |
| `FileNotFoundError` | Input file missing | Verify file path |
### Error Template


```python
def safe_pipeline_run(config: PipelineConfig) -> dict:
    """Run pipeline with comprehensive error handling."""
    try:
        # Validate input exists
        if not Path(config.input_path).exists():
            return {'status': 'error', 'stage': 'input', 'message': 'File not found'}

        pipeline = DataPipeline(config)
        return pipeline.run()

*See sub-skills for full details.*