**Apache Airflow version**:

master

**Kubernetes version (if you are using kubernetes)** (use `kubectl version`):

**Environment**: breeze

**What happened**:

This DAG
```python
from airflow import models
from airflow.operators.dummy_operator import DummyOperator
from airflow.utils.dates import days_ago

with models.DAG("test", start_date=days_ago(1), schedule_interval=None,) as dag:
    t1 = DummyOperator(task_id="t1")
    t2 = DummyOperator(task_id="t2")
    t1 >> t2
```

is rendering like that:

<img width="1374" alt="Screenshot 2020-08-27 at 19 59 41" src="https://user-images.githubusercontent.com/9528307/91478403-11d7fb00-e8a0-11ea-91d0-d7d578bcb5a2.png">

**What you expected to happen**:

I expect to see same relations as defined in DAG file

**How to reproduce it**:

Render the example DAG from above.


**Anything else we need to know**:

I'm surprised by this bug 👀 

airflow/www/views.py
try:
            execution_date = timezone.parse(execution_date)
        except ValueError:
            error_message = (
                'Given execution date, {}, could not be identified '
                'as a date. Example date format: 2015-11-16T14:34:15+00:00'.format(
                    execution_date))
            response = jsonify({'error': error_message})
            response.status_code = 400
            return response
        task_log_reader = TaskLogReader()
        if not task_log_reader.supports_read:
            return jsonify(
                message="Task log handler does not support read logs.",
                error=True,
                metadata={
                    "end_of_log": True
                }
            )
        ti = session.query(models.TaskInstance).filter(
            models.TaskInstance.dag_id == dag_id,
            models.TaskInstance.task_id == task_id,
            models.TaskInstance.execution_date == execution_date).first()
        if ti is None:
            return jsonify(
                message="*** Task instance did not exist in the DB\n",
                error=True,
                metadata={
                    "end_of_log": True
                }