airbytehq / airbytehq/airbyte-api-python-sdk

`queued` missing from `JobStatusEnum`, breaking Airflow DAGs on capacity-enforced syncs

Abierto Apto para principiantes
#141 0 comentarios 0 reacciones 0 asignados Ver en GitHub
Lenguaje dominante
Python
Estrellas
61
Forks
27
Merge medio
4 min
PR fusionados (30 d)
2

Descripción

## Summary

Airbyte Cloud started returning `queued` as a job status for capacity-enforced syncs, but `JobStatusEnum` in the SDK does not include it. This causes Airflow DAGs using the Airbyte provider to fail immediately on parse.

## Error

```
AirflowException: 'queued' is not a valid JobStatusEnum
```

## Environment

- `airbyte-api` 0.53.0
- `apache-airflow-providers-airbyte` 5.5.0
- Airbyte Cloud, capacity-based plan

## Root cause

The OpenAPI spec only includes `pending | running | incomplete | failed | succeeded | cancelled`. The `queued` status is described in Cloud docs as valid for capacity-enforced syncs but is absent from the spec, so the SDK raises a validation error when it encounters it.

## Impact

Production pipelines are blocked whenever workers are saturated and jobs enter `queued` state. This is not environment-specific — any customer on a capacity-based plan using the Jobs API or Airflow provider should hit the same failure.

## Steps to reproduce

1. Use a capacity-based Airbyte Cloud plan.
2. Trigger enough syncs to saturate workers.
3. Poll job status via the Jobs API or Airflow provider — a job in `queued` state will cause a parse failure.

## Ask

Add `queued` to `JobStatusEnum` in the OpenAPI spec and release a patch.

Guía de contribución

Abrir la guía de contribución

Línea de trabajo

Locate the OpenAPI specification and the SDK's JobStatusEnum definition, then inspect how status values are generated or validated. Confirm that queued is accepted by the Jobs API or Airflow provider path and that the existing validation check covers the new status; done means queued no longer raises the reported error.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
openapi, python
Área
api
Tipo de issue
Error
Dificultad
2/5
Tiempo estimado
1-3 horas
Estado de actividad
Tranquilo
Claridad
Bastante claro
Aptitud para principiantes
72/100

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