AI-generated Key Takeaways
- 
          ForecastError represents errors that can occur during a forecast request. 
- 
          It inherits properties from ApiError, such as fieldPath and trigger, to help identify the cause and location of the error. 
- 
          Specific reasons for a ForecastError include server availability issues, internal errors, insufficient data, not enough inventory, exceeding the request quota, or requesting data outside the available date range. 
Errors that can result from a forecast request.
- Namespace
- 
               https://www.google.com/apis/ads/publisher/v202508
| 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 
 |