path: root/test_utils/models/thl/conftest.py

from __future__ import annotations

from collections.abc import Callable
from datetime import UTC, datetime
from decimal import ROUND_DOWN, Decimal
from random import choice as rand_choice
from random import randint, random
from typing import Any
from uuid import uuid4

import faker
import pytest
from grip_client.enums import AccessType
from pydantic import PositiveInt

from generalresearch.managers.thl.ipinfo import IPGeonameManager, IPInformationManager
from generalresearch.managers.thl.payout import UserPayoutEventManager
from generalresearch.managers.thl.product import ProductManager
from generalresearch.managers.thl.session import SessionManager
from generalresearch.managers.thl.user_manager.user_manager import UserManager
from generalresearch.managers.thl.userhealth import AuditLogManager, IPRecordManager
from generalresearch.managers.thl.wall import WallManager
from generalresearch.models import DeviceType
from generalresearch.models.custom_types import (
    AwareDatetimeISO,
    IPvAnyAddressStr,
    UUIDStr,
)
from generalresearch.models.legacy.bucket import Bucket
from generalresearch.models.thl.definitions import (
    PayoutStatus,
)
from generalresearch.models.thl.ipinfo import IPGeoname, IPInformation
from generalresearch.models.thl.payout import UserPayoutEvent
from generalresearch.models.thl.product import (
    PayoutConfig,
    Product,
    ProfilingConfig,
    SessionConfig,
    SourcesConfig,
    SupplyConfig,
    UserCreateConfig,
    UserHealthConfig,
    UserWalletConfig,
)
from generalresearch.models.thl.session import (
    Session,
    Source,
    Status,
    Wall,
)
from generalresearch.models.thl.user import User
from generalresearch.models.thl.user_iphistory import IPRecord
from generalresearch.models.thl.userhealth import AuditLog, AuditLogLevel
from generalresearch.models.thl.wallet import PayoutType
from generalresearch.models.thl.wallet.cashout_method import CashMailOrderData

fake = faker.Faker()


@pytest.fixture
def wall_status() -> Status:
    return Status.COMPLETE


@pytest.fixture
def user_factory(user_manager: UserManager) -> Callable[..., User]:

    def _inner(
        # --- Create dummy "optional" --- #
        product_user_id: str | None = None,
        # --- Optional --- #
        product_id: UUIDStr | None = None,
        product: Product | None = None,
        created: datetime | None = None,
    ) -> User:

        product_user_id = product_user_id or uuid4().hex

        return user_manager.create_user(
            product_user_id=product_user_id,
            product_id=product_id,
            product=product,
            created=created,
        )

    return _inner


@pytest.fixture
def wall_factory(
    wall_manager: WallManager, session_factory: Session
) -> Callable[..., Wall]:

    def _inner(
        session_id: int | None = None,
        user_id: int | None = None,
        started: datetime | None = None,
        source: Source | None = None,
        req_survey_id: str | None = None,
        req_cpi: Decimal | None = None,
        buyer_id: str | None = None,
        uuid_id: str | None = None,
    ):
        """To be used in tests, where we don't care about certain fields"""

        user_id = user_id or fake.random_int(min=1, max=2_147_483_648)
        started = started or fake.date_time_between(
            start_date=datetime(year=1900, month=1, day=1, tzinfo=UTC),
            end_date=datetime.now(tz=UTC),
            tzinfo=UTC,
        )

        if session_id is None:
            # session = SessionManager(pg_config=self.pg_config).create_dummy(
            #     started=started
            # )
            session = session_factory()
            session_id = session.id

        source = source or rand_choice(list(Source))
        req_survey_id = req_survey_id or uuid4().hex
        req_cpi = req_cpi or Decimal(fake.random_int(min=1, max=150) / 100).quantize(
            Decimal(".01"), rounding=ROUND_DOWN
        )

        return wall_manager.create(
            session_id=session_id,
            user_id=user_id,
            started=started,
            source=source,
            req_survey_id=req_survey_id,
            req_cpi=req_cpi,
            buyer_id=buyer_id,
            uuid_id=uuid_id,
        )

    return _inner


@pytest.fixture
def product_factory(product_manager: ProductManager) -> Callable[..., Product]:

    def _inner(
        product_id: UUIDStr | None = None,
        team_id: UUIDStr | None = None,
        business_id: UUIDStr | None = None,
        name: str | None = None,
        redirect_url: str | None = None,
        harmonizer_domain: str | None = None,
        commission_pct: Decimal = Decimal("0.05000"),
        sources_config: SourcesConfig | SupplyConfig | None = None,
        payout_config: PayoutConfig | None = None,
        session_config: SessionConfig | None = None,
        profiling_config: ProfilingConfig | None = None,
        user_wallet_config: UserWalletConfig | None = None,
        user_create_config: UserCreateConfig | None = None,
        user_health_config: UserHealthConfig | None = None,
    ) -> Product:
        """To be used in tests, where we don't care about certain fields"""
        product_id = product_id if product_id else uuid4().hex
        team_id = team_id if team_id else uuid4().hex
        name = name if name else f"name-{product_id[:12]}"
        redirect_url = redirect_url if redirect_url else "https://www.example.com/"

        return product_manager.create(
            product_id=product_id,
            team_id=team_id,
            business_id=business_id,
            name=name,
            redirect_url=redirect_url,
            harmonizer_domain=harmonizer_domain,
            commission_pct=commission_pct,
            sources_config=sources_config,
            payout_config=payout_config,
            session_config=session_config,
            profiling_config=profiling_config,
            user_wallet_config=user_wallet_config,
            user_create_config=user_create_config,
            user_health_config=user_health_config,
        )

    return _inner


@pytest.fixture
def session_factory(session_manager: SessionManager):

    def _inner(
        # -- Create Dummy "optional" -- #
        started: datetime | None = None,
        user: User | None = None,
        # -- Optional -- #
        country_iso: str | None = None,
        device_type: DeviceType | None = None,
        ip: str | None = None,
        bucket: Bucket | None = None,
        url_metadata: dict[str, str] | None = None,
        uuid_id: str | None = None,
    ) -> Session:
        """To be used in tests, where we don't care about certain fields"""
        started = started or fake.date_time_between(
            start_date=datetime(year=1900, month=1, day=1, tzinfo=UTC),
            end_date=datetime(year=2000, month=1, day=1, tzinfo=UTC),
            tzinfo=UTC,
        )
        user = user or User(
            user_id=fake.random_int(min=1, max=2_147_483_648), uuid=uuid4().hex
        )

        return session_manager.create(
            started=started,
            user=user,
            country_iso=country_iso,
            device_type=device_type,
            ip=ip,
            bucket=bucket,
            url_metadata=url_metadata,
            uuid_id=uuid_id,
        )

    return _inner


@pytest.fixture
def ipgeoname_factory(ipgeoname_manager: IPGeonameManager) -> Callable[..., IPGeoname]:

    def _inner(
        geoname_id: PositiveInt | None = None,
        continent_code: str | None = None,
        continent_name: str | None = None,
        country_iso: str | None = None,
        country_name: str | None = None,
        subdivision_1_iso: str | None = None,
        subdivision_1_name: str | None = None,
        subdivision_2_iso: str | None = None,
        subdivision_2_name: str | None = None,
        city_name: str | None = None,
        metro_code: int | None = None,
        time_zone: str | None = None,
        is_in_european_union: bool | None = None,
    ) -> IPGeoname:

        return ipgeoname_manager.create(
            geoname_id=geoname_id or randint(1, 999_999_999),
            continent_code=continent_code or "na",
            continent_name=continent_name or "North America",
            country_iso=country_iso or "us",
            country_name=country_name or "United States",
            subdivision_1_iso=subdivision_1_iso or "fl",
            subdivision_1_name=subdivision_1_name or "Florida",
            subdivision_2_iso=subdivision_2_iso,
            subdivision_2_name=subdivision_2_name,
            city_name=city_name,
            metro_code=metro_code,
            time_zone=time_zone,
            is_in_european_union=is_in_european_union,
        )

    return _inner


def ipinformation_factory(
    ipinformation_manager: IPInformationManager,
) -> Callable[..., IPInformation]:

    def _inner(
        ip: IPvAnyAddressStr | None = None,
        geoname_id: PositiveInt | None = None,
        country_iso: str | None = None,
        registered_country_iso: str | None = None,
        is_anonymous: bool | None = None,
        is_anonymous_vpn: bool | None = None,
        is_hosting_provider: bool | None = None,
        is_public_proxy: bool | None = None,
        is_tor_exit_node: bool | None = None,
        is_residential_proxy: bool | None = None,
        autonomous_system_number: PositiveInt | None = None,
        autonomous_system_organization: str | None = None,
        domain: str | None = None,
        isp: str | None = None,
        mobile_country_code: str | None = None,
        mobile_network_code: str | None = None,
        network: str | None = None,
        organization: str | None = None,
        static_ip_score: float | None = None,
        user_type: AccessType | None = None,
        postal_code: str | None = None,
        latitude: Decimal | None = None,
        longitude: Decimal | None = None,
        accuracy_radius: int | None = None,
    ) -> IPInformation:

        return ipinformation_manager.create(
            ip=ip or fake.ipv4_public(),
            geoname_id=geoname_id,
            country_iso=country_iso or fake.country_code(),
            registered_country_iso=registered_country_iso,
            is_anonymous=is_anonymous,
            is_anonymous_vpn=is_anonymous_vpn,
            is_hosting_provider=is_hosting_provider,
            is_public_proxy=is_public_proxy,
            is_tor_exit_node=is_tor_exit_node,
            is_residential_proxy=is_residential_proxy,
            autonomous_system_number=autonomous_system_number,
            autonomous_system_organization=autonomous_system_organization,
            domain=domain,
            isp=isp,
            mobile_country_code=mobile_country_code,
            mobile_network_code=mobile_network_code,
            network=network,
            organization=organization,
            static_ip_score=static_ip_score,
            user_type=user_type,
            postal_code=postal_code,
            latitude=latitude,
            longitude=longitude,
            accuracy_radius=accuracy_radius,
        )

    return _inner


@pytest.fixture
def user_payout_event_factory(
    user_payout_event_manager: UserPayoutEventManager,
) -> Callable[..., UserPayoutEvent]:

    def _inner(
        uuid: UUIDStr | None = None,
        debit_account_uuid: UUIDStr | None = None,
        account_reference_type: str | None = None,
        account_reference_uuid: UUIDStr | None = None,
        cashout_method_uuid: UUIDStr | None = None,
        description: str | None = None,
        created: AwareDatetimeISO | None = None,
        amount: PositiveInt | None = None,
        status: PayoutStatus | None = None,
        ext_ref_id: str | None = None,
        payout_type: PayoutType | None = None,
        request_data: dict[str, Any] | None = None,
        order_data: dict[str, Any] | CashMailOrderData | None = None,
    ) -> UserPayoutEvent:

        debit_account_uuid = debit_account_uuid or uuid4().hex
        cashout_method_uuid = cashout_method_uuid or uuid4().hex
        # account_reference_type = account_reference_type or f"acct-ref-{uuid4().hex}"
        # account_reference_uuid = account_reference_uuid or uuid4().hex
        # cashout_method_uuid = cashout_method_uuid or uuid4().hex
        amount = amount or randint(a=99, b=9_999)
        status = status or rand_choice(list(PayoutStatus))

        description = description or f"desc-{uuid4().hex[:12]}"
        # ext_ref_id = ext_ref_id or f"ext-ref-{uuid4().hex[:8]}"
        payout_type = payout_type or rand_choice(list(PayoutType))
        request_data = request_data or {}
        # order_data = order_data or None

        return user_payout_event_manager.create(
            uuid=uuid,
            debit_account_uuid=debit_account_uuid,
            account_reference_type=account_reference_type,
            account_reference_uuid=account_reference_uuid,
            cashout_method_uuid=cashout_method_uuid,
            description=description,
            created=created,
            amount=amount,
            status=status,
            ext_ref_id=ext_ref_id,
            payout_type=payout_type,
            request_data=request_data,
            order_data=order_data,
        )

    return _inner


@pytest.fixture
def iprecord_factory(iprecord_manager: IPRecordManager) -> Callable[..., IPRecord]:

    def _inner(
        user_id: PositiveInt,
        ip: IPvAnyAddressStr | None = None,
        forwarded_ip1: IPvAnyAddressStr | None = None,
        forwarded_ip2: IPvAnyAddressStr | None = None,
        forwarded_ip3: IPvAnyAddressStr | None = None,
        forwarded_ip4: IPvAnyAddressStr | None = None,
        forwarded_ip5: IPvAnyAddressStr | None = None,
        forwarded_ip6: IPvAnyAddressStr | None = None,
    ) -> IPRecord:
        return iprecord_manager.create(
            user_id=user_id,
            ip=ip or fake.ipv4_public(),
            forwarded_ip1=(forwarded_ip1 or fake.ipv4_public()),
            forwarded_ip2=(forwarded_ip2 or fake.ipv6() if random() < 0.5 else None),
            forwarded_ip3=(
                forwarded_ip3 or fake.ipv4_public() if random() < 0.25 else None
            ),
            forwarded_ip4=forwarded_ip4,
            forwarded_ip5=forwarded_ip5,
            forwarded_ip6=forwarded_ip6,
        )

    return _inner


# class AuditLogManager(PostgresManager):


@pytest.fixture
def auditlog_factory(audit_log_manager: AuditLogManager):

    def _inner(
        user_id: PositiveInt,
        level: AuditLogLevel | None = None,
        event_type: str | None = None,
        event_msg: str | None = None,
        event_value: float | None = None,
    ) -> AuditLog:

        event_types = {
            "offerwall-enter.blocked",
            "offerwall-enter.rate-limited",
            "offerwall-enter.url-modified",
        }

        return audit_log_manager.create(
            user_id=user_id,
            level=level or rand_choice(list(AuditLogLevel)),
            event_type=event_type or rand_choice(list(event_types)),
            event_msg=event_msg,
            event_value=event_value,
        )

    return _inner


@pytest.fixture(scope="session")
def profiling_info_json() -> str:
    return (
        '[{"property_label": "hispanic", "cardinality": "*", "prop_type": "i", "country_iso": "us", '
        '"property_id": "05170ae296ab49178a075cab2a2073a6", "item_id": "7911ec1468b146ee870951f8ae9cbac1", '
        '"item_label": "panamanian", "gold_standard": 1, "options": [{"id": "c358c11e72c74fa2880358f1d4be85ab", '
        '"label": "not_hispanic"}, {"id": "b1d6c475770849bc8e0200054975dc9c", "label": "yes_hispanic"}, '
        '{"id": "bd1eb44495d84b029e107c188003c2bd", "label": "other_hispanic"}, '
        '{"id": "f290ad5e75bf4f4ea94dc847f57c1bd3", "label": "mexican"}, '
        '{"id": "49f50f2801bd415ea353063bfc02d252", "label": "puerto_rican"}, '
        '{"id": "dcbe005e522f4b10928773926601f8bf", "label": "cuban"}, '
        '{"id": "467ef8ddb7ac4edb88ba9ef817cbb7e9", "label": "salvadoran"}, '
        '{"id": "3c98e7250707403cba2f4dc7b877c963", "label": "dominican"}, '
        '{"id": "981ee77f6d6742609825ef54fea824a8", "label": "guatemalan"}, '
        '{"id": "81c8057b809245a7ae1b8a867ea6c91e", "label": "colombian"}, '
        '{"id": "513656d5f9e249fa955c3b527d483b93", "label": "honduran"}, '
        '{"id": "afc8cddd0c7b4581bea24ccd64db3446", "label": "ecuadorian"}, '
        '{"id": "61f34b36e80747a89d85e1eb17536f84", "label": "argentinian"}, '
        '{"id": "5330cfa681d44aa8ade3a6d0ea198e44", "label": "peruvian"}, '
        '{"id": "e7bceaffd76e486596205d8545019448", "label": "nicaraguan"}, '
        '{"id": "b7bbb2ebf8424714962e6c4f43275985", "label": "spanish"}, '
        '{"id": "8bf539785e7a487892a2f97e52b1932d", "label": "venezuelan"}, '
        '{"id": "7911ec1468b146ee870951f8ae9cbac1", "label": "panamanian"}], "category": [{"id": '
        '"4fd8381d5a1c4409ab007ca254ced084", "label": "Demographic", "path": "/Demographic", '
        '"adwords_vertical_id": null}]}, {"property_label": "ethnic_group", "cardinality": "*", "prop_type": '
        '"i", "country_iso": "us", "property_id": "15070958225d4132b7f6674fcfc979f6", "item_id": '
        '"64b7114cf08143949e3bcc3d00a5d8a0", "item_label": "other_ethnicity", "gold_standard": 1, "options": [{'
        '"id": "a72e97f4055e4014a22bee4632cbf573", "label": "caucasians"}, '
        '{"id": "4760353bc0654e46a928ba697b102735", "label": "black_or_african_american"}, '
        '{"id": "20ff0a2969fa4656bbda5c3e0874e63b", "label": "asian"}, '
        '{"id": "107e0a79e6b94b74926c44e70faf3793", "label": "native_hawaiian_or_other_pacific_islander"}, '
        '{"id": "900fa12691d5458c8665bf468f1c98c1", "label": "native_americans"}, '
        '{"id": "64b7114cf08143949e3bcc3d00a5d8a0", "label": "other_ethnicity"}], "category": [{"id": '
        '"4fd8381d5a1c4409ab007ca254ced084", "label": "Demographic", "path": "/Demographic", '
        '"adwords_vertical_id": null}]}, {"property_label": "educational_attainment", "cardinality": "?", '
        '"prop_type": "i", "country_iso": "us", "property_id": "2637783d4b2b4075b93e2a156e16e1d8", "item_id": '
        '"934e7b81d6744a1baa31bbc51f0965d5", "item_label": "other_education", "gold_standard": 1, "options": [{'
        '"id": "df35ef9e474b4bf9af520aa86630202d", "label": "3rd_grade_completion"}, '
        '{"id": "83763370a1064bd5ba76d1b68c4b8a23", "label": "8th_grade_completion"}, '
        '{"id": "f0c25a0670c340bc9250099dcce50957", "label": "not_high_school_graduate"}, '
        '{"id": "02ff74c872bd458983a83847e1a9f8fd", "label": "high_school_completion"}, '
        '{"id": "ba8beb807d56441f8fea9b490ed7561c", "label": "vocational_program_completion"}, '
        '{"id": "65373a5f348a410c923e079ddbb58e9b", "label": "some_college_completion"}, '
        '{"id": "2d15d96df85d4cc7b6f58911fdc8d5e2", "label": "associate_academic_degree_completion"}, '
        '{"id": "497b1fedec464151b063cd5367643ffa", "label": "bachelors_degree_completion"}, '
        '{"id": "295133068ac84424ae75e973dc9f2a78", "label": "some_graduate_completion"}, '
        '{"id": "e64f874faeff4062a5aa72ac483b4b9f", "label": "masters_degree_completion"}, '
        '{"id": "cbaec19a636d476385fb8e7842b044f5", "label": "doctorate_degree_completion"}, '
        '{"id": "934e7b81d6744a1baa31bbc51f0965d5", "label": "other_education"}], "category": [{"id": '
        '"4fd8381d5a1c4409ab007ca254ced084", "label": "Demographic", "path": "/Demographic", '
        '"adwords_vertical_id": null}]}, {"property_label": "household_spoken_language", "cardinality": "*", '
        '"prop_type": "i", "country_iso": "us", "property_id": "5a844571073d482a96853a0594859a51", "item_id": '
        '"62b39c1de141422896ad4ab3c4318209", "item_label": "dut", "gold_standard": 1, "options": [{"id": '
        '"f65cd57b79d14f0f8460761ce41ec173", "label": "ara"}, {"id": "6d49de1f8f394216821310abd29392d9", '
        '"label": "zho"}, {"id": "be6dc23c2bf34c3f81e96ddace22800d", "label": "eng"}, '
        '{"id": "ddc81f28752d47a3b1c1f3b8b01a9b07", "label": "fre"}, {"id": "2dbb67b29bd34e0eb630b1b8385542ca", '
        '"label": "ger"}, {"id": "a747f96952fc4b9d97edeeee5120091b", "label": "hat"}, '
        '{"id": "7144b04a3219433baac86273677551fa", "label": "hin"}, {"id": "e07ff3e82c7149eaab7ea2b39ee6a6dc", '
        '"label": "ita"}, {"id": "b681eff81975432ebfb9f5cc22dedaa3", "label": "jpn"}, '
        '{"id": "5cb20440a8f64c9ca62fb49c1e80cdef", "label": "kor"}, {"id": "171c4b77d4204bc6ac0c2b81e38a10ff", '
        '"label": "pan"}, {"id": "8c3ec18e6b6c4a55a00dd6052e8e84fb", "label": "pol"}, '
        '{"id": "3ce074d81d384dd5b96f1fb48f87bf01", "label": "por"}, {"id": "6138dc951990458fa88a666f6ddd907b", '
        '"label": "rus"}, {"id": "e66e5ecc07df4ebaa546e0b436f034bd", "label": "spa"}, '
        '{"id": "5a981b3d2f0d402a96dd2d0392ec2fcb", "label": "tgl"}, {"id": "b446251bd211403487806c4d0a904981", '
        '"label": "vie"}, {"id": "92fb3ee337374e2db875fb23f52eed46", "label": "xxx"}, '
        '{"id": "8b1f590f12f24cc1924d7bdcbe82081e", "label": "ind"}, {"id": "bf3f4be556a34ff4b836420149fd2037", '
        '"label": "tur"}, {"id": "87ca815c43ba4e7f98cbca98821aa508", "label": "zul"}, '
        '{"id": "0adbf915a7a64d67a87bb3ce5d39ca54", "label": "may"}, {"id": "62b39c1de141422896ad4ab3c4318209", '
        '"label": "dut"}], "category": [{"id": "4fd8381d5a1c4409ab007ca254ced084", "label": "Demographic", '
        '"path": "/Demographic", "adwords_vertical_id": null}]}, {"property_label": "gender", "cardinality": '
        '"?", "prop_type": "i", "country_iso": "us", "property_id": "73175402104741549f21de2071556cd7", '
        '"item_id": "093593e316344cd3a0ac73669fca8048", "item_label": "other_gender", "gold_standard": 1, '
        '"options": [{"id": "b9fc5ea07f3a4252a792fd4a49e7b52b", "label": "male"}, '
        '{"id": "9fdb8e5e18474a0b84a0262c21e17b56", "label": "female"}, '
        '{"id": "093593e316344cd3a0ac73669fca8048", "label": "other_gender"}], "category": [{"id": '
        '"4fd8381d5a1c4409ab007ca254ced084", "label": "Demographic", "path": "/Demographic", '
        '"adwords_vertical_id": null}]}, {"property_label": "age_in_years", "cardinality": "?", "prop_type": '
        '"n", "country_iso": "us", "property_id": "94f7379437874076b345d76642d4ce6d", "item_id": null, '
        '"item_label": null, "gold_standard": 1, "category": [{"id": "4fd8381d5a1c4409ab007ca254ced084", '
        '"label": "Demographic", "path": "/Demographic", "adwords_vertical_id": null}]}, {"property_label": '
        '"children_age_gender", "cardinality": "*", "prop_type": "i", "country_iso": "us", "property_id": '
        '"e926142fcea94b9cbbe13dc7891e1e7f", "item_id": "b7b8074e95334b008e8958ccb0a204f1", "item_label": '
        '"female_18", "gold_standard": 1, "options": [{"id": "16a6448ec24c48d4993d78ebee33f9b4", '
        '"label": "male_under_1"}, {"id": "809c04cb2e3b4a3bbd8077ab62cdc220", "label": "female_under_1"}, '
        '{"id": "295e05bb6a0843bc998890b24c99841e", "label": "no_children"}, '
        '{"id": "142cb948d98c4ae8b0ef2ef10978e023", "label": "male_0"}, '
        '{"id": "5a5c1b0e9abc48a98b3bc5f817d6e9d0", "label": "male_1"}, '
        '{"id": "286b1a9afb884bdfb676dbb855479d1e", "label": "male_2"}, '
        '{"id": "942ca3cda699453093df8cbabb890607", "label": "male_3"}, '
        '{"id": "995818d432f643ec8dd17e0809b24b56", "label": "male_4"}, '
        '{"id": "f38f8b57f25f4cdea0f270297a1e7a5c", "label": "male_5"}, '
        '{"id": "975df709e6d140d1a470db35023c432d", "label": "male_6"}, '
        '{"id": "f60bd89bbe0f4e92b90bccbc500467c2", "label": "male_7"}, '
        '{"id": "6714ceb3ed5042c0b605f00b06814207", "label": "male_8"}, '
        '{"id": "c03c2f8271d443cf9df380e84b4dea4c", "label": "male_9"}, '
        '{"id": "11690ee0f5a54cb794f7ddd010d74fa2", "label": "male_10"}, '
        '{"id": "17bef9a9d14b4197b2c5609fa94b0642", "label": "male_11"}, '
        '{"id": "e79c8338fe28454f89ccc78daf6f409a", "label": "male_12"}, '
        '{"id": "3a4f87acb3fa41f4ae08dfe2858238c1", "label": "male_13"}, '
        '{"id": "36ffb79d8b7840a7a8cb8d63bbc8df59", "label": "male_14"}, '
        '{"id": "1401a508f9664347aee927f6ec5b0a40", "label": "male_15"}, '
        '{"id": "6e0943c5ec4a4f75869eb195e3eafa50", "label": "male_16"}, '
        '{"id": "47d4b27b7b5242758a9fff13d3d324cf", "label": "male_17"}, '
        '{"id": "9ce886459dd44c9395eb77e1386ab181", "label": "female_0"}, '
        '{"id": "6499ccbf990d4be5b686aec1c7353fd8", "label": "female_1"}, '
        '{"id": "d85ceaa39f6d492abfc8da49acfd14f2", "label": "female_2"}, '
        '{"id": "18edb45c138e451d8cb428aefbb80f9c", "label": "female_3"}, '
        '{"id": "bac6f006ed9f4ccf85f48e91e99fdfd1", "label": "female_4"}, '
        '{"id": "5a6a1a8ad00c4ce8be52dcb267b034ff", "label": "female_5"}, '
        '{"id": "6bff0acbf6364c94ad89507bcd5f4f45", "label": "female_6"}, '
        '{"id": "d0d56a0a6b6f4516a366a2ce139b4411", "label": "female_7"}, '
        '{"id": "bda6028468044b659843e2bef4db2175", "label": "female_8"}, '
        '{"id": "dbb6d50325464032b456357b1a6e5e9c", "label": "female_9"}, '
        '{"id": "b87a93d7dc1348edac5e771684d63fb8", "label": "female_10"}, '
        '{"id": "11449d0d98f14e27ba47de40b18921d7", "label": "female_11"}, '
        '{"id": "16156501e97b4263962cbbb743840292", "label": "female_12"}, '
        '{"id": "04ee971c89a345cc8141a45bce96050c", "label": "female_13"}, '
        '{"id": "e818d310bfbc4faba4355e5d2ed49d4f", "label": "female_14"}, '
        '{"id": "440d25e078924ba0973163153c417ed6", "label": "female_15"}, '
        '{"id": "78ff804cc9b441c5a524bd91e3d1f8bf", "label": "female_16"}, '
        '{"id": "4b04d804d7d84786b2b1c22e4ed440f5", "label": "female_17"}, '
        '{"id": "28bc848cd3ff44c3893c76bfc9bc0c4e", "label": "male_18"}, '
        '{"id": "b7b8074e95334b008e8958ccb0a204f1", "label": "female_18"}], "category": [{"id": '
        '"e18ba6e9d51e482cbb19acf2e6f505ce", "label": "Parenting", "path": "/People & Society/Family & '
        'Relationships/Family/Parenting", "adwords_vertical_id": "58"}]}, {"property_label": "home_postal_code", '
        '"cardinality": "?", "prop_type": "x", "country_iso": "us", "property_id": '
        '"f3b32ebe78014fbeb1ed6ff77d6338bf", "item_id": null, "item_label": null, "gold_standard": 1, '
        '"category": [{"id": "4fd8381d5a1c4409ab007ca254ced084", "label": "Demographic", "path": "/Demographic", '
        '"adwords_vertical_id": null}]}, {"property_label": "household_income", "cardinality": "?", "prop_type": '
        '"n", "country_iso": "us", "property_id": "ff5b1d4501d5478f98de8c90ef996ac1", "item_id": null, '
        '"item_label": null, "gold_standard": 1, "category": [{"id": "4fd8381d5a1c4409ab007ca254ced084", '
        '"label": "Demographic", "path": "/Demographic", "adwords_vertical_id": null}]}]'
    )


@pytest.fixture(scope="session")
def profiling_user_info_json() -> str:
    return (
        '{"user_profile_knowledge": [], "marketplace_profile_knowledge": [{"source": "d", "question_id": '
        '"1", "answer": ["1"], "created": "2023-11-07T16:41:05.234096Z"}, {"source": "pr", '
        '"question_id": "3", "answer": ["1"], "created": "2023-11-07T16:41:05.234096Z"}, {"source": '
        '"h", "question_id": "60", "answer": ["58"], "created": "2023-11-07T16:41:05.234096Z"}, '
        '{"source": "c", "question_id": "43", "answer": ["1"], "created": "2023-11-07T16:41:05.234096Z"}, '
        '{"source": "s", "question_id": "211", "answer": ["111"], "created": '
        '"2023-11-07T16:41:05.234096Z"}, {"source": "s", "question_id": "1843", "answer": ["111"], '
        '"created": "2023-11-07T16:41:05.234096Z"}, {"source": "h", "question_id": "13959", "answer": ['
        '"244155"], "created": "2023-11-07T16:41:05.234096Z"}, {"source": "c", "question_id": "33092", '
        '"answer": ["1"], "created": "2023-11-07T16:41:05.234096Z"}, {"source": "c", "question_id": "gender", '
        '"answer": ["10682"], "created": "2023-11-07T16:41:05.234096Z"}, {"source": "e", "question_id": '
        '"gender", "answer": ["male"], "created": "2023-11-07T16:41:05.234096Z"}, {"source": "f", '
        '"question_id": "gender", "answer": ["male"], "created": "2023-11-07T16:41:05.234096Z"}, {"source": '
        '"i", "question_id": "gender", "answer": ["1"], "created": "2023-11-07T16:41:05.234096Z"}, '
        '{"source": "c", "question_id": "137510", "answer": ["1"], "created": "2023-11-07T16:41:05.234096Z"}, '
        '{"source": "m", "question_id": "gender", "answer": ["1"], "created": '
        '"2023-11-07T16:41:05.234096Z"}, {"source": "o", "question_id": "gender", "answer": ["male"], '
        '"created": "2023-11-07T16:41:05.234096Z"}, {"source": "c", "question_id": "gender_plus", "answer": ['
        '"7657644"], "created": "2023-11-07T16:41:05.234096Z"}, {"source": "i", "question_id": '
        '"gender_plus", "answer": ["1"], "created": "2023-11-07T16:41:05.234096Z"}, {"source": "c", '
        '"question_id": "income_level", "answer": ["9071"], "created": "2023-11-07T16:41:05.234096Z"}]}'
    )