
**Apache Airflow version**:
2.0.1

**Environment**:

- **OS**: Linux Mint 19.2 
- **Kernel**: 5.5.0-050500-generic #202001262030 SMP Mon Jan 27 01:33:36 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux

**What happened**:

Seems that pagination doesn't work. I filter DAGs by tags and get too many results to get them at one page. When I click second page I'm redirected to the first one (actually, it doesn't matter if I click second, last or any other - I'm always getting redirected to the first one).

**What you expected to happen**:

I expect to be redirected to the correct page when I click number on the bottom of the page.

**How to reproduce it**:
1. Create a lot of DAGs with the same tag
2. Filter by tag
3. Go to the next page in the pagination bar

**Implementation example**:



```
from airflow import DAG
from airflow.utils.dates import days_ago
for i in range(200):
    name = 'test_dag_' + str(i)
    dag = DAG(
        dag_id=name,
        schedule_interval=None,
        start_date=days_ago(2),
        tags=['example1'],
    )
    globals()[name] = dag
```

airflow/www/utils.py
"""Returns a formatted string with HTML for given JSON serializable"""
    def json_(attr):
        f = attr.get(attr_name)
        serialized = json.dumps(f)
        return Markup('<nobr>{}</nobr>').format(serialized)  
    return json_
def dag_link(attr):
    """Generates a URL to the Graph View for a Dag."""
    dag_id = attr.get('dag_id')
    execution_date = attr.get('execution_date')
    url = url_for('Airflow.graph', dag_id=dag_id, execution_date=execution_date)
    return Markup('<a href="{}">{}</a>').format(url, dag_id) if dag_id else Markup('None')  
def dag_run_link(attr):
    """Generates a URL to the Graph View for a DagRun."""
    dag_id = attr.get('dag_id')
    run_id = attr.get('run_id')
    execution_date = attr.get('execution_date')
    url = url_for('Airflow.graph', dag_id=dag_id, run_id=run_id, execution_date=execution_date)
    return Markup('<a href="{url}">{run_id}</a>').format(url=url, run_id=run_id)  
def pygment_html_render(s, lexer=lexers.TextLexer):