How to implement compound filters in flask-sqlalchemy?

Question

Flask

Good afternoon. There is a model:

class Place(db.Model):
    # ...
    id = db.Column(db.Integer, primary_key=True, autoincrement=True)
    name = db.Column(db.String(16), nullable=False)
    sector_id = db.Column(db.Integer, nullable=False)
    col = db.Column(db.Integer, nullable=False)
    row = db.Column(db.Integer, nullable=False)
    place_type_id = db.Column(db.Integer, nullable=False)
    is_blocked_for_in = db.Column(db.Boolean, nullable=False)
    is_blocked_for_out = db.Column(db.Boolean, nullable=False)
    last_inventorization_at = db.Column(db.DateTime, nullable=True)
    # ...

I want to implement sending results to the front, taking into account the received filters. And if with filters for a complete match, everything is generally clear. Well, i.e. front makes a request .../places?col=2&row=3&place_type_id=1 , then you can process:

for arg in request.args:
    filters[arg] = request.args[arg]

places = Place.query.filter_by(**filters).all()

But with complex filters, you can’t do that anymore. For example, if you need to make a selection by the name field with like, a list comes to place_type_id, not an int value, last_inventorization_at is specified by an interval, and so on. How are these filters usually implemented? It is clear that you can hardcode with a bunch of ifs, but I want to make a beautiful solution.

I would be very grateful for an answer