"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""

from __future__ import annotations
from .getcontextresponsedto import GetContextResponseDto, GetContextResponseDtoTypedDict
from novu_py.types import BaseModel, Nullable, UNSET_SENTINEL
import pydantic
from pydantic import model_serializer
from typing import List
from typing_extensions import Annotated, TypedDict


class ListContextsResponseDtoTypedDict(TypedDict):
    data: List[GetContextResponseDtoTypedDict]
    r"""List of returned Contexts"""
    next: Nullable[str]
    r"""The cursor for the next page of results, or null if there are no more pages."""
    previous: Nullable[str]
    r"""The cursor for the previous page of results, or null if this is the first page."""
    total_count: float
    r"""The total count of items (up to 50,000)"""
    total_count_capped: bool
    r"""Whether there are more than 50,000 results available"""


class ListContextsResponseDto(BaseModel):
    data: List[GetContextResponseDto]
    r"""List of returned Contexts"""

    next: Nullable[str]
    r"""The cursor for the next page of results, or null if there are no more pages."""

    previous: Nullable[str]
    r"""The cursor for the previous page of results, or null if this is the first page."""

    total_count: Annotated[float, pydantic.Field(alias="totalCount")]
    r"""The total count of items (up to 50,000)"""

    total_count_capped: Annotated[bool, pydantic.Field(alias="totalCountCapped")]
    r"""Whether there are more than 50,000 results available"""

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        serialized = handler(self)
        m = {}

        for n, f in type(self).model_fields.items():
            k = f.alias or n
            val = serialized.get(k, serialized.get(n))

            if val != UNSET_SENTINEL:
                m[k] = val

        return m


try:
    ListContextsResponseDto.model_rebuild()
except NameError:
    pass
