update group model - replace integer field by float field for points_for_first_term and point_for_second term, fix calculations of points for project grade sheet and fix unit tests
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5fda4127cd
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527612d63e
@ -93,6 +93,7 @@ def detail_group(group_id: int) -> Group:
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group = Group.query.filter_by(id=group_id).first()
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if group is None:
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abort(404, "Not found group!")
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attach_points_for_first_and_second_term_to_group_models([group])
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return group
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@ -56,6 +56,16 @@ def parse_csv(
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return students
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def map_project_supervisors(groups: List[Group]) -> dict:
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i = 1
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mapped_project_supervisors = {}
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for group in groups:
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if group.project_supervisor_id not in mapped_project_supervisors.keys():
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mapped_project_supervisors[group.project_supervisor_id] = i
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i += 1
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return mapped_project_supervisors
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def generate_csv(students_and_groups: List[Tuple[Student, Group]]) -> str:
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headers = [
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"INDEKS",
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@ -68,6 +78,9 @@ def generate_csv(students_and_groups: List[Tuple[Student, Group]]) -> str:
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"GR_NR",
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"PRG_KOD",
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]
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mapped_project_supervisors_id = map_project_supervisors(
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[group for _, group in students_and_groups]
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)
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data = [
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(
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student.index,
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@ -77,7 +90,7 @@ def generate_csv(students_and_groups: List[Tuple[Student, Group]]) -> str:
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group.cdyd_kod,
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group.prz_kod,
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group.tzaj_kod,
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group.project_supervisor_id,
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mapped_project_supervisors_id[group.project_supervisor_id],
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None,
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)
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for student, group in students_and_groups
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@ -152,18 +165,17 @@ def generate_examination_schedule_pdf_file(
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ps = td.group.project_supervisor
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project_supervisor_fullname = f"{ps.first_name[0]}. {ps.last_name}"
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students = td.group.students
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# print(students)
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team = ", ".join([f"{s.first_name} {s.last_name}" for s in students])
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else:
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project_supervisor_fullname = ""
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team = ""
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members = td.members_of_committee
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# print(members)
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if len(members) == 0:
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committee = ""
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else:
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members_iter = (f"{m.first_name[0]} {m.last_name}" for m in members)
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members_iter = (f"{m.first_name[0]}. {m.last_name}" for m in members)
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committee = ", ".join(members_iter)
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data.append(
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@ -226,7 +238,40 @@ def load_weight_for_project_grade_sheet() -> Union[dict, None]:
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return data
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def calculate_points_for_one_term(
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def get_criterion_by_weight_key(weight_key: str) -> str:
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if weight_key.startswith("presentation"):
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return "presentation"
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if weight_key.startswith("documentation"):
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return "documentation"
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if weight_key.startswith("group_work"):
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return "group_work"
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return "product_project"
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def grade_in_percentage(term_key: str, term_points: dict) -> str:
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try:
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criterions = {
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"presentation": current_app.config.get(f"PRESENTATION_WEIGHT_{term_key}"),
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"group_work": current_app.config.get(f"GROUP_WORK_WEIGHT_{term_key}"),
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"documentation": current_app.config.get(f"DOCUMENTATION_WEIGHT_{term_key}"),
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"product_project": current_app.config.get(
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f"PRODUCT_PROJECT_WEIGHT_{term_key}"
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),
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}
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result = 0
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for criterion_key, criterion_weight in criterions.items():
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result += (
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term_points[criterion_key]["gained_points"]
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/ term_points[criterion_key]["all_points"]
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* criterion_weight
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)
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result /= sum(criterions.values())
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except ZeroDivisionError:
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result = 0
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return result
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def calculate_points_for_both_terms(
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weights: dict, project_grade_sheets: List[ProjectGradeSheet]
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) -> list:
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terms = []
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@ -234,37 +279,32 @@ def calculate_points_for_one_term(
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if pgs is None:
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terms.append((0, 0))
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continue
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first_term_points = {
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"nominator": 0,
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"denominator": 0,
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}
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second_term_points = {
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"nominator": 0,
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"denominator": 0,
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"presentation": {"gained_points": 0, "all_points": 0},
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"documentation": {"gained_points": 0, "all_points": 0},
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"group_work": {"gained_points": 0, "all_points": 0},
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"product_project": {"gained_points": 0, "all_points": 0},
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}
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second_term_points = copy.deepcopy(first_term_points)
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for weight_key, weight_value in weights.items():
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points = (
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first_term_points if weight_key.endswith("1") else second_term_points
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)
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criterion = get_criterion_by_weight_key(weight_key)
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try:
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attribute_value = getattr(pgs, weight_key)
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except AttributeError:
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attribute_value = 0
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points["nominator"] += attribute_value * weight_value * 1 / 4
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points["denominator"] += weight_value
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try:
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fp = first_term_points["nominator"] / first_term_points["denominator"]
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except ZeroDivisionError:
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fp = 0
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try:
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sp = second_term_points["nominator"] / second_term_points["denominator"]
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except ZeroDivisionError:
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sp = 0
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terms.append((round(fp, 2) * 100, round(sp, 2) * 100))
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points[criterion]["gained_points"] += attribute_value / 4 * weight_value
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points[criterion]["all_points"] += weight_value
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points_1 = round(grade_in_percentage("FIRST_TERM", first_term_points) * 100, 1)
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points_2 = round(
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grade_in_percentage("SECOND_TERM", second_term_points) * 100, 1
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)
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terms.append((points_1, points_2))
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return terms
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@ -276,7 +316,7 @@ def attach_points_for_first_and_second_term_to_group_models(items: List[Group])
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pgs.append(None)
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else:
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pgs.append(g.project_grade_sheet[0])
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calculated_points = calculate_points_for_one_term(weights, pgs)
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calculated_points = calculate_points_for_both_terms(weights, pgs)
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for group, points in zip(items, calculated_points):
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group.points_for_first_term = points[0]
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@ -38,8 +38,8 @@ class Group(Base):
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project_supervisor = db.relationship("ProjectSupervisor", backref="groups")
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year_group_id = db.Column(db.Integer, db.ForeignKey("year_groups.id"))
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year_group = db.relationship("YearGroup", backref="groups", lazy="joined")
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points_for_first_term = db.Column(db.Integer, default=0, nullable=False)
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points_for_second_term = db.Column(db.Integer, default=0, nullable=False)
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points_for_first_term = db.Column(db.Float, default=0, nullable=False)
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points_for_second_term = db.Column(db.Float, default=0, nullable=False)
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students = db.relationship(
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"Student", secondary=students_groups, back_populates="groups"
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)
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@ -1,15 +1,15 @@
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"""empty message
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Revision ID: 559c8f18a125
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Revision ID: e0e58661131a
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Revises:
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Create Date: 2023-01-14 15:25:59.137169
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Create Date: 2023-01-15 23:21:20.996214
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"""
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import sqlalchemy as sa
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from alembic import op
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# revision identifiers, used by Alembic.
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revision = "559c8f18a125"
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revision = "e0e58661131a"
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down_revision = None
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branch_labels = None
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depends_on = None
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@ -104,8 +104,8 @@ def upgrade():
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sa.Column("tzaj_kod", sa.String(length=60), nullable=True),
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sa.Column("project_supervisor_id", sa.Integer(), nullable=True),
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sa.Column("year_group_id", sa.Integer(), nullable=True),
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sa.Column("points_for_first_term", sa.Integer(), nullable=False),
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sa.Column("points_for_second_term", sa.Integer(), nullable=False),
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sa.Column("points_for_first_term", sa.Float(), nullable=False),
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sa.Column("points_for_second_term", sa.Float(), nullable=False),
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sa.ForeignKeyConstraint(
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["project_supervisor_id"],
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["project_supervisors.id"],
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@ -4,12 +4,15 @@ import pandas as pd
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import pytest
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from flask import current_app
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from app.base.mode import ModeGroups
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from app.base.utils import is_allowed_extensions, order_by_column_name, paginate_models
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from app.coordinator.exceptions import InvalidNameOrTypeHeaderException
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from app.coordinator.utils import (
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check_columns,
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generate_csv,
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generate_range_dates,
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get_duration_time,
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map_project_supervisors,
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parse_csv,
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)
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from app.dependencies import db
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@ -46,14 +49,12 @@ def test_paginate_models(test_app_ctx_with_db) -> None:
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index=123456,
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first_name="Dominic",
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last_name="Smith",
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pesel="99010109876",
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email="xxx@gmail.com",
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)
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st1 = Student(
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index=123457,
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first_name="John",
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last_name="Newton",
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pesel="99010109871",
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email="zzz@gmail.com",
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)
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db.session.add_all([st, st1])
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@ -72,7 +73,6 @@ def test_check_columns() -> None:
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"NAZWISKO": ["Smith"],
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"IMIE": ["Dominic"],
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"INDEKS": [343433],
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"PESEL": [90020178654],
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"EMAIL": ["domsmi@gmail.com"],
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}
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df = pd.DataFrame(data=dummy_data)
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@ -90,7 +90,6 @@ def test_check_columns_with_invalid_column_types() -> None:
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"NAZWISKO": [999],
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"IMIE": ["Dominic"],
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"INDEKS": [343433],
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"PESEL": [90020178654],
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"EMAIL": ["domsmi@gmail.com"],
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}
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df = pd.DataFrame(data=dummy_data)
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@ -99,13 +98,13 @@ def test_check_columns_with_invalid_column_types() -> None:
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def get_path_to_fake_data(filename: str) -> str:
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base_dir = current_app.config.get("BASE_DIR", "/")
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return base_dir / "tmp_data" / filename
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return base_dir / "tests" / "data" / filename
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def test_parse_csv(test_app) -> None:
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with test_app.app_context():
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with open(get_path_to_fake_data("students.csv")) as f:
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students = sorted(list(parse_csv(f)), key=lambda s: s.index)
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students = sorted(list(parse_csv(f, 1)), key=lambda s: s.index)
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indexes = [452790 + i for i in range(3)]
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assert len(students) == len(indexes)
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for st, idx in zip(students, indexes):
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@ -116,14 +115,14 @@ def test_parse_csv_with_invalid_column_header_name_in_csv_file(test_app) -> None
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with test_app.app_context():
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with open(get_path_to_fake_data("students_column_name.csv")) as f:
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with pytest.raises(InvalidNameOrTypeHeaderException):
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parse_csv(f)
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parse_csv(f, 1)
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def test_parse_csv_with_invalid_column_type_in_csv_file(test_app) -> None:
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with test_app.app_context():
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with open(get_path_to_fake_data("students_column_type.csv")) as f:
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with pytest.raises(InvalidNameOrTypeHeaderException):
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parse_csv(f)
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parse_csv(f, 1)
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def test_generate_range_dates() -> None:
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@ -139,50 +138,62 @@ def test_generate_range_dates() -> None:
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assert start_date <= date < end_date
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def test_generate_csv(test_app_ctx_with_db) -> None:
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def test_generate_csv() -> None:
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students_data = [
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{
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"first_name": "Dominic",
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"last_name": "Smith",
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"email": "xxe@gmail.com",
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"index": 123456,
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"pesel": "98070234293",
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},
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{
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"first_name": "Matthew",
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"last_name": "Cash",
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"email": "zze@gmail.com",
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"index": 123455,
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"pesel": "98070234291",
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},
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{
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"first_name": "Martin",
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"last_name": "Rose",
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"email": "nne@gmail.com",
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"index": 123446,
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"pesel": "98070234223",
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},
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]
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with test_app_ctx_with_db:
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students = [Student(**data) for data in students_data]
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db.session.add_all(students)
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db.session.commit()
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students = [Student(**data) for data in students_data]
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gr1 = Group(name="new-project")
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gr2 = Group(name="system-pri")
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gr1.students.append(students[0])
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gr1.students.append(students[1])
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gr2.students.append(students[2])
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gr1 = Group(name="new-project")
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gr2 = Group(name="system-pri")
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gr1.students.append(students[0])
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gr1.students.append(students[1])
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gr2.students.append(students[2])
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db.session.add_all([gr1, gr2])
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db.session.commit()
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students_and_groups = [
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(students[0], gr1),
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(students[1], gr1),
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(students[2], gr2),
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]
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generated_csv = generate_csv(students_and_groups)
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for data in students_data:
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for value in data.values():
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assert str(value) in generated_csv
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students_and_groups = [
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(students[0], gr1),
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(students[1], gr1),
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(students[2], gr2),
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]
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generated_csv = generate_csv(students_and_groups)
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for data in students_data:
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for value in data.values():
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assert str(value) in generated_csv
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def test_map_project_supervisors() -> None:
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project_supervisors_id = [(1, 2), (2, 3), (3, 7)]
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groups = []
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for i in range(3):
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for _, ps_id in project_supervisors_id:
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groups.append(Group(project_supervisor_id=ps_id))
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mapped_ps = map_project_supervisors(
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sorted(groups, key=lambda g: g.project_supervisor_id)
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)
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for expected_id, ps_id in project_supervisors_id:
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assert mapped_ps[ps_id] == expected_id
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def test_get_duration_time() -> None:
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assert get_duration_time(ModeGroups.STATIONARY.value) == 30
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assert get_duration_time(ModeGroups.NON_STATIONARY.value) == 20
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assert get_duration_time(ModeGroups.ENGLISH_SPEAKING_STATIONARY.value) == 30
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assert get_duration_time("invalid value") is None
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