"""Schemas modeled from the protobuf demographics.

See Also: This nice explanation of `missing vs default`_:

    - Missing is used for deserialization if the field is not found in the input data.
    - Default is used for serialization if the input value is missing.

    .. _Missing vs default: https://github.com/sv-tools/marshmallow-objects/wiki/missing-vs-default
"""
from marshmallow import EXCLUDE
from marshmallow.fields import Integer

from delphi_api.v3.data_models.schemas import ma


class GenderSchema(ma.Schema):
    class Meta:
        unknown = EXCLUDE

    female = Integer(required=False, missing=0, default=None)
    male = Integer(required=False, missing=0, default=None)
    unknown = Integer(required=False, missing=0, default=None)
    neutral = Integer(required=False, missing=0, default=None)


class AppleAgeBandSchema(ma.Schema):
    class Meta:
        unknown = EXCLUDE

    all_18_24 = Integer(required=False, missing=0, default=None)
    all_25_34 = Integer(required=False, missing=0, default=None)
    all_35_44 = Integer(required=False, missing=0, default=None)
    all_45_54 = Integer(required=False, missing=0, default=None)
    all_55_64 = Integer(required=False, missing=0, default=None)
    all_65_plus = Integer(required=False, missing=0, default=None)
    all_unknown = Integer(required=False, missing=0, default=None)
    male_18_24 = Integer(required=False, missing=0, default=None)
    male_25_34 = Integer(required=False, missing=0, default=None)
    male_35_44 = Integer(required=False, missing=0, default=None)
    male_45_54 = Integer(required=False, missing=0, default=None)
    male_55_64 = Integer(required=False, missing=0, default=None)
    male_65_plus = Integer(required=False, missing=0, default=None)
    male_unknown = Integer(required=False, missing=0, default=None)
    female_18_24 = Integer(required=False, missing=0, default=None)
    female_25_34 = Integer(required=False, missing=0, default=None)
    female_35_44 = Integer(required=False, missing=0, default=None)
    female_45_54 = Integer(required=False, missing=0, default=None)
    female_55_64 = Integer(required=False, missing=0, default=None)
    female_65_plus = Integer(required=False, missing=0, default=None)
    female_unknown = Integer(required=False, missing=0, default=None)
    unknown_18_24 = Integer(required=False, missing=0, default=None)
    unknown_25_34 = Integer(required=False, missing=0, default=None)
    unknown_35_44 = Integer(required=False, missing=0, default=None)
    unknown_45_54 = Integer(required=False, missing=0, default=None)
    unknown_55_64 = Integer(required=False, missing=0, default=None)
    unknown_65_plus = Integer(required=False, missing=0, default=None)
    unknown_unknown = Integer(required=False, missing=0, default=None)


class SpotifyAgeBandSchema(ma.Schema):
    class Meta:
        unknown = EXCLUDE

    all_0_17 = Integer(required=False, missing=0, default=None)
    all_18_22 = Integer(required=False, missing=0, default=None)
    all_23_27 = Integer(required=False, missing=0, default=None)
    all_28_34 = Integer(required=False, missing=0, default=None)
    all_35_44 = Integer(required=False, missing=0, default=None)
    all_45_59 = Integer(required=False, missing=0, default=None)
    all_60_150 = Integer(required=False, missing=0, default=None)
    all_unknown = Integer(required=False, missing=0, default=None)
    female_0_17 = Integer(required=False, missing=0, default=None)
    female_18_22 = Integer(required=False, missing=0, default=None)
    female_23_27 = Integer(required=False, missing=0, default=None)
    female_28_34 = Integer(required=False, missing=0, default=None)
    female_35_44 = Integer(required=False, missing=0, default=None)
    female_45_59 = Integer(required=False, missing=0, default=None)
    female_60_150 = Integer(required=False, missing=0, default=None)
    female_unknown = Integer(required=False, missing=0, default=None)
    male_0_17 = Integer(required=False, missing=0, default=None)
    male_18_22 = Integer(required=False, missing=0, default=None)
    male_23_27 = Integer(required=False, missing=0, default=None)
    male_28_34 = Integer(required=False, missing=0, default=None)
    male_35_44 = Integer(required=False, missing=0, default=None)
    male_45_59 = Integer(required=False, missing=0, default=None)
    male_60_150 = Integer(required=False, missing=0, default=None)
    male_unknown = Integer(required=False, missing=0, default=None)
    neutral_0_17 = Integer(required=False, missing=0, default=None)
    neutral_18_22 = Integer(required=False, missing=0, default=None)
    neutral_23_27 = Integer(required=False, missing=0, default=None)
    neutral_28_34 = Integer(required=False, missing=0, default=None)
    neutral_35_44 = Integer(required=False, missing=0, default=None)
    neutral_45_59 = Integer(required=False, missing=0, default=None)
    neutral_60_150 = Integer(required=False, missing=0, default=None)
    neutral_unknown = Integer(required=False, missing=0, default=None)
    unknown_0_17 = Integer(required=False, missing=0, default=None)
    unknown_18_22 = Integer(required=False, missing=0, default=None)
    unknown_23_27 = Integer(required=False, missing=0, default=None)
    unknown_28_34 = Integer(required=False, missing=0, default=None)
    unknown_35_44 = Integer(required=False, missing=0, default=None)
    unknown_45_59 = Integer(required=False, missing=0, default=None)
    unknown_60_150 = Integer(required=False, missing=0, default=None)
    unknown_unknown = Integer(required=False, missing=0, default=None)


class YouTubeAgeBandSchema(ma.Schema):
    class Meta:
        unknown = EXCLUDE

    all_0_18 = Integer(required=False, missing=0, default=None)
    all_18_24 = Integer(required=False, missing=0, default=None)
    all_25_34 = Integer(required=False, missing=0, default=None)
    all_35_44 = Integer(required=False, missing=0, default=None)
    all_45_54 = Integer(required=False, missing=0, default=None)
    all_55_64 = Integer(required=False, missing=0, default=None)
    all_65_plus = Integer(required=False, missing=0, default=None)
    all_unknown = Integer(required=False, missing=0, default=None)
    female_0_18 = Integer(required=False, missing=0, default=None)
    female_18_24 = Integer(required=False, missing=0, default=None)
    female_25_34 = Integer(required=False, missing=0, default=None)
    female_35_44 = Integer(required=False, missing=0, default=None)
    female_45_54 = Integer(required=False, missing=0, default=None)
    female_55_64 = Integer(required=False, missing=0, default=None)
    female_65_plus = Integer(required=False, missing=0, default=None)
    female_unknown = Integer(required=False, missing=0, default=None)
    male_0_18 = Integer(required=False, missing=0, default=None)
    male_18_24 = Integer(required=False, missing=0, default=None)
    male_25_34 = Integer(required=False, missing=0, default=None)
    male_35_44 = Integer(required=False, missing=0, default=None)
    male_45_54 = Integer(required=False, missing=0, default=None)
    male_55_64 = Integer(required=False, missing=0, default=None)
    male_65_plus = Integer(required=False, missing=0, default=None)
    male_unknown = Integer(required=False, missing=0, default=None)
    unknown_0_18 = Integer(required=False, missing=0, default=None)
    unknown_18_24 = Integer(required=False, missing=0, default=None)
    unknown_25_34 = Integer(required=False, missing=0, default=None)
    unknown_35_44 = Integer(required=False, missing=0, default=None)
    unknown_45_54 = Integer(required=False, missing=0, default=None)
    unknown_55_64 = Integer(required=False, missing=0, default=None)
    unknown_65_plus = Integer(required=False, missing=0, default=None)
    unknown_unknown = Integer(required=False, missing=0, default=None)