dagster-expert

# Dagster Expert Analysis for Acme Corp's Sales Pipeline

## Problem Summary
The `process_sales_data` op in your `sales_pipeline.py` is failing with:
```
DagsterTypeError: Expected output of type `SalesData` but got `dict`
```

## Root Cause
The op's output schema defines a `SalesData` model, but your compute function returns a raw dictionary:
```python
def process_sales_data(context, raw_data: Dict[str, Any]) -> Dict[str, Any]:
    return {"processed": True}  # ❌ Should return SalesData instance
```

## Solution
1. **Fix the compute function**:
```python
from models import SalesData

def process_sales_data(context, raw_data: Dict[str, Any]) -> SalesData:
    return SalesData(
        id=raw_data["id"],
        amount=raw_data["amount"],
        timestamp=raw_data["timestamp"]
    )
```

2. **Verify your assets definition**:
```python
@asset(required_resource_keys={"io_manager"})
def sales_data() -> SalesData:
    return process_sales_data(None, load_raw_data())
```

3. **Test locally**:
```bash
dagster dev -f sales_pipeline.py
```

## Additional Checks
- Ensure `SalesData` class is imported in your pipeline file
- Verify your IO manager can serialize the `SalesData` type
- Run `dagster job execute -f sales_pipeline.py` to test the full pipeline

Would you like me to review any other aspects of your Dagster configuration?