ryanahamilton opened a new issue #11506:
URL: https://github.com/apache/airflow/issues/11506
**Apache Airflow version**: v2.0.0.dev0 (latest master)
**What happened**:
Running Breeze on my local machine with sample DAGs.
**Request made with Insomnia desktop client** (same result using a web
application client):
> GET /api/v1/dags?limit=100 HTTP/1.1
> Host: 127.0.0.1:28080
> Authorization: Basic YWRtaW46YWRtaW4=
> User-Agent: insomnia/2020.4.1
> Cookie:
session=.eJw1zjkKwzAQQNG7qE6hGS1j-TJmNpEUMUG2q5C7RxDSffjNe4etDz_uYT3H5bewPSysoSJEVWo9UW4sGNFN-iwVMozdXdViEa1VGjp2BUCuzA1JFmNyoCypYMXezBM4gs1ZkJVAeok1ZaSoZiQ1c5RlUbGUihdWljAhLx9P3n0__7Tr8PHjQfh8Ac-rNx4.X4WlQA.kuA0c8M57RIBSTP0iyebJAYkY8M
> Accept: */*
**500 error response:**
```json
{
"detail": "None is not valid under any of the given schemas\n\nFailed
validating 'oneOf' in
schema['allOf'][0]['properties']['dags']['items']['properties']['schedule_interval']:\n
{'description': 'Schedule interval. Defines how often DAG runs, this '\n
\"object gets added to your latest task instance's\\n\"\n
'execution_date to figure out the next schedule.\\n',\n
'discriminator': {'propertyName': '__type'},\n 'oneOf': [{'description':
'Time delta',\n 'properties': {'__type': {'type': 'string'},\n
'days': {'type': 'integer'},\n
'microseconds': {'type': 'integer'},\n
'seconds': {'type': 'integer'}},\n 'required': ['__type',
'days', 'seconds', 'microseconds'],\n 'type': 'object',\n
'x-scope': ['',\n
'#/components/schemas/DAGCollection',\n
'#/components/schemas/DAG',\n
'#/components/schemas/ScheduleInterval']},\n {'description':
'Relative delta',\n 'properties': {'__type': {'type':
'string'},\n 'day': {'type': 'integer'},\n
'days': {'type': 'integer'},\n
'hour': {'type': 'integer'},\n 'hours':
{'type': 'integer'},\n 'leapdays': {'type':
'integer'},\n 'microsecond': {'type':
'integer'},\n 'microseconds': {'type':
'integer'},\n 'minute': {'type': 'integer'},\n
'minutes': {'type': 'integer'},\n
'month': {'type': 'integer'},\n
'months': {'type': 'integer'},\n 'second':
{'type': 'integer'},\n
'seconds': {'type': 'integer'},\n
'year': {'type': 'integer'},\n 'years': {'type':
'integer'}},\n 'required': ['__type',\n
'years',\n 'months',\n
'days',\n 'leapdays',\n
'hours',\n 'minutes',\n
'seconds',\n 'microseconds',\n
'year',\n 'month',\n
'day',\n 'hour',\n
'minute',\n 'second',\n
'microsecond'],\n 'type': 'object',\n 'x-scope':
['',\n '#/components/schemas/DAGCollection',\n
'#/components/sche
mas/DAG',\n
'#/components/schemas/ScheduleInterval']},\n {'description':
'Cron expression',\n 'properties': {'__type': {'type':
'string'},\n 'value': {'type': 'string'}},\n
'required': ['__type', 'value'],\n 'type': 'object',\n
'x-scope': ['',\n
'#/components/schemas/DAGCollection',\n
'#/components/schemas/DAG',\n
'#/components/schemas/ScheduleInterval']}],\n 'readOnly': True,\n
'x-scope': ['',\n '#/components/schemas/DAGCollection',\n
'#/components/schemas/DAG']}\n\nOn
instance['dags'][3]['schedule_interval']:\n None",
"status": 500,
"title": "Response body does not conform to specification",
"type":
"https://airflow.readthedocs.io/en/latest/stable-rest-api-ref.html#section/Errors/Unknown";
}
```
**What you expected to happen**:
I expected to not receive error response and instead receive an array of DAG
objects.
E.G.
```json
{
"dags": [
{
"dag_id": "example_bash_operator",
"description": null,
"fileloc":
"/opt/airflow/airflow/example_dags/example_bash_operator.py",
"is_paused": false,
"is_subdag": false,
"owners": [
"airflow"
],
"root_dag_id": null,
"schedule_interval": {
"__type": "CronExpression",
"value": "0 0 * * *"
},
"tags": [
{
"name": "example"
}
]
},
{
"dag_id": "example_branch_dop_operator_v3",
"description": null,
"fileloc":
"/opt/airflow/airflow/example_dags/example_branch_python_dop_operator_3.py",
"is_paused": true,
"is_subdag": false,
"owners": [
"airflow"
],
"root_dag_id": null,
"schedule_interval": {
"__type": "CronExpression",
"value": "*/1 * * * *"
},
"tags": [
{
"name": "example"
}
]
}
],
"total_entries": 26
}
```
**Anything else we need to know**:
Deleting the sample DAGs with a schedule of "None" or reducing the query
limit to a smaller value (that omits any DAGs w/ "None" schedule) prevents the
error response from occurring.
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