172 lines
6.9 KiB
Python
172 lines
6.9 KiB
Python
import datetime
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import random
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from factory import Sequence, alchemy
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from factory.faker import Faker
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from factory.fuzzy import FuzzyDateTime, FuzzyInteger
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from app.base.mode import ModeGroups
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from app.dependencies import db
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from app.examination_schedule.models import (
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ExaminationSchedule,
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TemporaryAvailability,
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TermOfDefence,
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)
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from app.project_supervisor.models import ProjectSupervisor
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from app.students.models import Group, Student, YearGroup, ProjectGradeSheet
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class YearGroupFactory(alchemy.SQLAlchemyModelFactory):
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class Meta:
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model = YearGroup
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sqlalchemy_session = db.session
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name = "2022/2023"
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mode = ModeGroups.STATIONARY.value
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class ProjectSupervisorFactory(alchemy.SQLAlchemyModelFactory):
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class Meta:
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model = ProjectSupervisor
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sqlalchemy_session = db.session
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first_name = Faker("first_name")
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last_name = Faker("last_name")
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email = Faker("email")
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limit_group = 4
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class GroupFactory(alchemy.SQLAlchemyModelFactory):
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class Meta:
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model = Group
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sqlalchemy_session = db.session
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name = Sequence(lambda n: f"Group-{n}")
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points_for_first_term = FuzzyInteger(1, 100)
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points_for_second_term = FuzzyInteger(1, 100)
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grade_for_first_term = FuzzyInteger(2, 5)
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grade_for_second_term = FuzzyInteger(2, 5)
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class StudentFactory(alchemy.SQLAlchemyModelFactory):
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class Meta:
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model = Student
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sqlalchemy_session = db.session
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first_name = Faker("first_name")
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last_name = Faker("last_name")
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email = Faker("email")
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index = Sequence(lambda n: 400_000 + n)
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class ExaminationScheduleFactory(alchemy.SQLAlchemyModelFactory):
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class Meta:
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model = ExaminationSchedule
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sqlalchemy_session = db.session
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title = Sequence(lambda n: f"Examination schedule {n}")
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duration_time = 30
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start_date = FuzzyDateTime(
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datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc),
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datetime.datetime(2020, 1, 5, tzinfo=datetime.timezone.utc),
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)
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end_date = FuzzyDateTime(
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datetime.datetime(2020, 1, 10, tzinfo=datetime.timezone.utc),
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datetime.datetime(2020, 1, 20, tzinfo=datetime.timezone.utc),
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)
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class TermOfDefenceFactory(alchemy.SQLAlchemyModelFactory):
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class Meta:
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model = TermOfDefence
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sqlalchemy_session = db.session
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start_date = Sequence(
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lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
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+ datetime.timedelta(n * 30)
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)
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end_date = Sequence(
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lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
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+ datetime.timedelta(n * 30 + 30)
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)
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class TemporaryAvailabilityFactory(alchemy.SQLAlchemyModelFactory):
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class Meta:
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model = TemporaryAvailability
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sqlalchemy_session = db.session
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start_date = Sequence(
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lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
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+ datetime.timedelta(n * 30)
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)
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end_date = Sequence(
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lambda n: datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc)
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+ datetime.timedelta(n * 30 + 30)
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)
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class ProjectGradeSheetFactory(alchemy.SQLAlchemyModelFactory):
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class Meta:
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model = ProjectGradeSheet
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sqlalchemy_session = db.session
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presentation_required_content_1 = random.choice([0, 1, 3, 4])
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presentation_required_content_2 = random.choice([0, 1, 3, 4])
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presentation_was_compatible_1 = random.choice([0, 1, 3, 4])
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presentation_was_compatible_2 = random.choice([0, 1, 3, 4])
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presentation_showing_1 = random.choice([0, 1, 3, 4])
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presentation_showing_2 = random.choice([0, 1, 3, 4])
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presentation_answers_to_questions_from_committee_1 = random.choice([0, 1, 3, 4])
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presentation_answers_to_questions_from_committee_2 = random.choice([0, 1, 3, 4])
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documentation_project_vision_1 = random.choice([0, 1, 3, 4])
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documentation_project_vision_2 = random.choice([0, 1, 3, 4])
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documentation_requirements_1 = random.choice([0, 1, 3, 4])
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documentation_requirements_2 = random.choice([0, 1, 3, 4])
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documentation_for_clients_1 = random.choice([0, 1, 3, 4])
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documentation_for_clients_2 = random.choice([0, 1, 3, 4])
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documentation_for_developers_1 = random.choice([0, 1, 3, 4])
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documentation_for_developers_2 = random.choice([0, 1, 3, 4])
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documentation_license_1 = random.choice([0, 1, 3, 4])
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documentation_license_2 = random.choice([0, 1, 3, 4])
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group_work_regularity_1 = random.choice([0, 1, 3, 4])
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group_work_regularity_2 = random.choice([0, 1, 3, 4])
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group_work_division_of_work_1 = random.choice([0, 1, 3, 4])
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group_work_division_of_work_2 = random.choice([0, 1, 3, 4])
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group_work_contact_with_client_1 = random.choice([0, 1, 3, 4])
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group_work_contact_with_client_2 = random.choice([0, 1, 3, 4])
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group_work_management_of_risk_1 = random.choice([0, 1, 3, 4])
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group_work_management_of_risk_2 = random.choice([0, 1, 3, 4])
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group_work_work_methodology_1 = random.choice([0, 1, 3, 4])
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group_work_work_methodology_2 = random.choice([0, 1, 3, 4])
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group_work_management_of_source_code_1 = random.choice([0, 1, 3, 4])
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group_work_management_of_source_code_2 = random.choice([0, 1, 3, 4])
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group_work_devops_1 = random.choice([0, 1, 3, 4])
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group_work_devops_2 = random.choice([0, 1, 3, 4])
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products_project_complexity_of_product_1 = random.choice([0, 1, 3, 4])
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products_project_complexity_of_product_2 = random.choice([0, 1, 3, 4])
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products_project_access_to_application_1 = random.choice([0, 1, 3, 4])
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products_project_access_to_application_2 = random.choice([0, 1, 3, 4])
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products_project_security_issues_1 = random.choice([0, 1, 3, 4])
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products_project_security_issues_2 = random.choice([0, 1, 3, 4])
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products_project_access_to_test_application_1 = random.choice([0, 1, 3, 4])
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products_project_access_to_test_application_2 = random.choice([0, 1, 3, 4])
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products_project_acceptance_criteria_1 = random.choice([0, 1, 3, 4])
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products_project_acceptance_criteria_2 = random.choice([0, 1, 3, 4])
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products_project_expected_functionality_1 = random.choice([0, 1, 3, 4])
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products_project_expected_functionality_2 = random.choice([0, 1, 3, 4])
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products_project_promises_well_1 = random.choice([0, 1, 3, 4])
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products_project_promises_well_2 = random.choice([0, 1, 3, 4])
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products_project_has_been_implemented_1 = random.choice([0, 1, 3, 4])
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products_project_has_been_implemented_2 = random.choice([0, 1, 3, 4])
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products_project_is_useful_1 = random.choice([0, 1, 3, 4])
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products_project_is_useful_2 = random.choice([0, 1, 3, 4])
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products_project_prototype_1 = random.choice([0, 1, 3, 4])
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products_project_prototype_2 = random.choice([0, 1, 3, 4])
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products_project_tests_1 = random.choice([0, 1, 3, 4])
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products_project_tests_2 = random.choice([0, 1, 3, 4])
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products_project_technology_1 = random.choice([0, 1, 3, 4])
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products_project_technology_2 = random.choice([0, 1, 3, 4])
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