AI-generated Key Takeaways
- 
          ForecastError is used to represent errors that can occur when making a forecast request. 
- 
          It inherits from ApiError and includes fields like fieldPath, trigger, and errorString. 
- 
          The ForecastError itself has a reasonfield which indicates the specific cause of the error.
- 
          Potential reasons for a ForecastError include server issues, lack of data, insufficient inventory, exceeding request quota, and requests outside the available date range. 
Errors that can result from a forecast request.
- Namespace
- 
               https://www.google.com/apis/ads/publisher/v202411
| Field | |
|---|---|
| ApiError(inherited) | |
| 
                            | 
                            The OGNL field path to identify cause of error. | 
| 
                            | A parsed copy of the field path. For example, the field path "operations[1].operand" corresponds to this list: {FieldPathElement(field = "operations", index = 1), FieldPathElement(field = "operand", index = null)}. | 
| 
                            | 
                            The data that caused the error. | 
| 
                            | 
                            A simple string representation of the error and reason. | 
| ForecastError | |
| 
                            | The reason for the forecast error. Enumerations 
 |