import datetime
import random

from factory import Sequence, alchemy
from factory.faker import Faker
from factory.fuzzy import FuzzyDateTime, FuzzyInteger

from app.base.mode import ModeGroups
from app.dependencies import db
from app.examination_schedule.models import (
    ExaminationSchedule,
    TemporaryAvailability,
    TermOfDefence,
)
from app.project_supervisor.models import ProjectSupervisor
from app.students.models import Group, ProjectGradeSheet, Student, YearGroup


class YearGroupFactory(alchemy.SQLAlchemyModelFactory):
    class Meta:
        model = YearGroup
        sqlalchemy_session = db.session

    name = "2022/2023"
    mode = ModeGroups.STATIONARY.value


class ProjectSupervisorFactory(alchemy.SQLAlchemyModelFactory):
    class Meta:
        model = ProjectSupervisor
        sqlalchemy_session = db.session

    first_name = Faker("first_name")
    last_name = Faker("last_name")
    email = Faker("email")
    limit_group = 4


class GroupFactory(alchemy.SQLAlchemyModelFactory):
    class Meta:
        model = Group
        sqlalchemy_session = db.session

    name = Sequence(lambda n: f"Group-{n}")
    points_for_first_term = FuzzyInteger(1, 100)
    points_for_second_term = FuzzyInteger(1, 100)
    grade_for_first_term = FuzzyInteger(2, 5)
    grade_for_second_term = FuzzyInteger(2, 5)


class StudentFactory(alchemy.SQLAlchemyModelFactory):
    class Meta:
        model = Student
        sqlalchemy_session = db.session

    first_name = Faker("first_name")
    last_name = Faker("last_name")
    email = Faker("email")
    index = Sequence(lambda n: 400_000 + n)


class ExaminationScheduleFactory(alchemy.SQLAlchemyModelFactory):
    class Meta:
        model = ExaminationSchedule
        sqlalchemy_session = db.session

    title = Sequence(lambda n: f"Examination schedule {n}")
    duration_time = 30
    start_date = FuzzyDateTime(
        datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc),
        datetime.datetime(2020, 1, 5, tzinfo=datetime.timezone.utc),
    )
    end_date = FuzzyDateTime(
        datetime.datetime(2020, 1, 10, tzinfo=datetime.timezone.utc),
        datetime.datetime(2020, 1, 20, tzinfo=datetime.timezone.utc),
    )


class TermOfDefenceFactory(alchemy.SQLAlchemyModelFactory):
    class Meta:
        model = TermOfDefence
        sqlalchemy_session = db.session

    start_date = Sequence(
        lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
        + datetime.timedelta(n * 30)
    )
    end_date = Sequence(
        lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
        + datetime.timedelta(n * 30 + 30)
    )


class TemporaryAvailabilityFactory(alchemy.SQLAlchemyModelFactory):
    class Meta:
        model = TemporaryAvailability
        sqlalchemy_session = db.session

    start_date = Sequence(
        lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
        + datetime.timedelta(n * 30)
    )
    end_date = Sequence(
        lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
        + datetime.timedelta(n * 30 + 30)
    )


class TemporaryAvailabilityFactory(alchemy.SQLAlchemyModelFactory):
    class Meta:
        model = TemporaryAvailability
        sqlalchemy_session = db.session

    start_date = Sequence(
        lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
        + datetime.timedelta(n * 30)
    )
    end_date = Sequence(
        lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
        + datetime.timedelta(n * 30 + 30)
    )


class ProjectGradeSheetFactory(alchemy.SQLAlchemyModelFactory):
    class Meta:
        model = ProjectGradeSheet
        sqlalchemy_session = db.session

    presentation_required_content_1 = random.choice([0, 1, 3, 4])
    presentation_required_content_2 = random.choice([0, 1, 3, 4])
    presentation_was_compatible_1 = random.choice([0, 1, 3, 4])
    presentation_was_compatible_2 = random.choice([0, 1, 3, 4])
    presentation_showing_1 = random.choice([0, 1, 3, 4])
    presentation_showing_2 = random.choice([0, 1, 3, 4])
    presentation_answers_to_questions_from_committee_1 = random.choice([0, 1, 3, 4])
    presentation_answers_to_questions_from_committee_2 = random.choice([0, 1, 3, 4])
    documentation_project_vision_1 = random.choice([0, 1, 3, 4])
    documentation_project_vision_2 = random.choice([0, 1, 3, 4])
    documentation_requirements_1 = random.choice([0, 1, 3, 4])
    documentation_requirements_2 = random.choice([0, 1, 3, 4])
    documentation_for_clients_1 = random.choice([0, 1, 3, 4])
    documentation_for_clients_2 = random.choice([0, 1, 3, 4])
    documentation_for_developers_1 = random.choice([0, 1, 3, 4])
    documentation_for_developers_2 = random.choice([0, 1, 3, 4])
    documentation_license_1 = random.choice([0, 1, 3, 4])
    documentation_license_2 = random.choice([0, 1, 3, 4])

    group_work_regularity_1 = random.choice([0, 1, 3, 4])
    group_work_regularity_2 = random.choice([0, 1, 3, 4])
    group_work_division_of_work_1 = random.choice([0, 1, 3, 4])
    group_work_division_of_work_2 = random.choice([0, 1, 3, 4])
    group_work_contact_with_client_1 = random.choice([0, 1, 3, 4])
    group_work_contact_with_client_2 = random.choice([0, 1, 3, 4])
    group_work_management_of_risk_1 = random.choice([0, 1, 3, 4])
    group_work_management_of_risk_2 = random.choice([0, 1, 3, 4])
    group_work_work_methodology_1 = random.choice([0, 1, 3, 4])
    group_work_work_methodology_2 = random.choice([0, 1, 3, 4])
    group_work_management_of_source_code_1 = random.choice([0, 1, 3, 4])
    group_work_management_of_source_code_2 = random.choice([0, 1, 3, 4])
    group_work_devops_1 = random.choice([0, 1, 3, 4])
    group_work_devops_2 = random.choice([0, 1, 3, 4])

    products_project_complexity_of_product_1 = random.choice([0, 1, 3, 4])
    products_project_complexity_of_product_2 = random.choice([0, 1, 3, 4])
    products_project_access_to_application_1 = random.choice([0, 1, 3, 4])
    products_project_access_to_application_2 = random.choice([0, 1, 3, 4])
    products_project_security_issues_1 = random.choice([0, 1, 3, 4])
    products_project_security_issues_2 = random.choice([0, 1, 3, 4])
    products_project_access_to_test_application_1 = random.choice([0, 1, 3, 4])
    products_project_access_to_test_application_2 = random.choice([0, 1, 3, 4])
    products_project_acceptance_criteria_1 = random.choice([0, 1, 3, 4])
    products_project_acceptance_criteria_2 = random.choice([0, 1, 3, 4])
    products_project_expected_functionality_1 = random.choice([0, 1, 3, 4])
    products_project_expected_functionality_2 = random.choice([0, 1, 3, 4])
    products_project_promises_well_1 = random.choice([0, 1, 3, 4])
    products_project_promises_well_2 = random.choice([0, 1, 3, 4])
    products_project_has_been_implemented_1 = random.choice([0, 1, 3, 4])
    products_project_has_been_implemented_2 = random.choice([0, 1, 3, 4])
    products_project_is_useful_1 = random.choice([0, 1, 3, 4])
    products_project_is_useful_2 = random.choice([0, 1, 3, 4])
    products_project_prototype_1 = random.choice([0, 1, 3, 4])
    products_project_prototype_2 = random.choice([0, 1, 3, 4])
    products_project_tests_1 = random.choice([0, 1, 3, 4])
    products_project_tests_2 = random.choice([0, 1, 3, 4])
    products_project_technology_1 = random.choice([0, 1, 3, 4])
    products_project_technology_2 = random.choice([0, 1, 3, 4])