[Feature Request]: a .to_dict() method

[JoFrhwld]

What feature would you like added?

It would be great if most objects had a cascading .to_dict() method, a lot like the .get_intervals_at_time() method. Here's a sketch of the idea

Sequence*

For Sequence objects, minimally

def to_dict(self):
  out_dict = {
    'label': self.label,
    'start': self.start,
    # if point
    # 'time': self.time,
    'end': self.end,
    'entry_class' : self.entry_class.__name__,
    'superset_class': self.superset_class.__name__,
    'subset_class': self.subset_class.__name__,
    # if ids implemented
    'id' : self.id,
    'fol_id': self.fol.id,
    'prev_id': self.prev.id,
    'subset_ids': self.subset_list_ids,
  }
  return out_dict

For Tiers

def to_dict(self):
  out_dict = {
    'name': self.name,
    'entry_class': self.entry_class.__name__,
    'superset_class': self.superset_class.__name__,
    'subset_class': self.subset_class.__name__,
    'entries' : [x.to_dict() for x in self.sequence_list],
    # if ids implemented
    'id' : self.id
  }
  return out_dict

For TierGroups

def to_dict(self):
  out_dict = {
    'tiers': [x.to_dict for x in self.tiers]
    # if ids implemented
    'id': self.id
  }
  return out_dict

For TextGrids

def to_dict(self):
  out_dict = {
    'tier_groups': [x.to_dict for x in self.tier_groups]
    # if ids implemented
    'id': self.id
  }

What would the use case be for this feature?

dictifying will probably make things like writing to a dataframe (#50) or some other output (#23), since I believe the data frame, yaml, and json packages have well defined methods for processing dicts.

Would you like to help add this feature?

Yes, and I will submit a pull request soon.

Code of Conduct

• I agree to follow this project's Code of Conduct

[JoFrhwld]

Discussion in #133 about ids is relevant.

[JoFrhwld]

Seems redundant wrt to dataframe output #148