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# coding: utf-8
"""
UnifAPI
Unified, AI-friendly API for public-data providers. Single source of truth for the UnifAPI gateway — consumed by docs (Fumadocs), the marketing site, and downstream SDK generators.
The version of the OpenAPI document: 0.0.1
Contact: support@unifapi.com
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List
from typing_extensions import Annotated
from unifapi.models.author import Author
from typing import Optional, Set
from typing_extensions import Self
class Comment(BaseModel):
"""
A top-level comment on a TikTok video. Replies are fetched via /tiktok/videos/{id}/comments/{comment_id}/replies.
""" # noqa: E501
id: Annotated[str, Field(min_length=1, strict=True)]
video_id: StrictStr
text: StrictStr
create_time: StrictInt
like_count: StrictInt
reply_count: StrictInt
is_author_liked: StrictBool
author: Author
__properties: ClassVar[List[str]] = ["id", "video_id", "text", "create_time", "like_count", "reply_count", "is_author_liked", "author"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of Comment from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of author
if self.author:
_dict['author'] = self.author.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of Comment from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"id": obj.get("id"),
"video_id": obj.get("video_id"),
"text": obj.get("text"),
"create_time": obj.get("create_time"),
"like_count": obj.get("like_count"),
"reply_count": obj.get("reply_count"),
"is_author_liked": obj.get("is_author_liked"),
"author": Author.from_dict(obj["author"]) if obj.get("author") is not None else None
})
return _obj