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enricoschroeder
2025-07-25 18:54:33 +02:00
parent 0d38b5d5ca
commit 8f66e48cea
16 changed files with 782 additions and 2 deletions
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tests/test_db.py
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import unittest
import numpy as np
import pandas as pd
from backend.db import DB
import tempfile
import os
from backend.his_io import dtypes
class TestDb(unittest.TestCase):
def setUp(self):
self.temp_dir = tempfile.TemporaryDirectory()
self.temp_file = os.path.join(self.temp_dir.name, 'test_db.json')
self.db = DB(self.temp_file)
def test_db(self):
session = None
with self.subTest('create_session'):
session = self.db.create_session()
self.assertIsNotNone(session)
self.assertGreater(len(session.token), 16)
self.assertTrue(session.token in self.db.list_tokens())
with self.subTest('store_session'):
session.table_name = 'Test Table'
session.students_df = pd.DataFrame(columns=['Examplan.id', 'Matrikelnummer', 'PrüfungsNr.', 'Titel', 'Nachname', 'Vorname', 'Leistung', 'Versuch',
'Status', 'ECTS', 'Semester', 'Jahr', 'Prüfungsperiode', 'Vermerk', 'Thema', 'Beginn',
'Gepl. Ende', 'Tatsächl. Ende', 'Prüfungsart', 'Prüfungsform', 'LockVersion'])
session.students_df = session.students_df.astype(dtypes.students_table)
session.students_df = pd.concat([session.students_df, pd.DataFrame({
'Examplan.id': 1, 'PrüfungsNr.': 'P001', 'Titel': 'Math', 'Matrikelnummer': 123456, 'Nachname': 'Doe', 'Vorname': 'John', 'Leistung': 'A', 'Versuch': 1,
'Status': 'Passed', 'ECTS': 5, 'Semester': 'WS2021', 'Jahr': 2021, 'Prüfungsperiode': 'Winter', 'Vermerk': '', 'Thema': '', 'Beginn': '', 'Gepl. Ende': '',
'Tatsächl. Ende': '', 'Prüfungsart': '', 'Prüfungsform': '', 'LockVersion': '1e851fa6-6f69-4fe4-a1a8-510ab8e5c6ea=0,eeecd36a-ee4a-4897-b7db-464542618fb3=0,3fda53aa-2106-4f8b-a832-03aa57917cb2=0,'
}, index=[0])])
session.students_df = pd.concat([session.students_df, pd.DataFrame({
'Examplan.id': 2, 'PrüfungsNr.': 'P002', 'Titel': 'Physics', 'Matrikelnummer': 654321, 'Nachname': 'Smith', 'Vorname': 'Jane', 'Leistung': 'B', 'Versuch': 1,
'Status': 'Passed', 'ECTS': 5, 'Semester': 'WS2021', 'Jahr': 2021, 'Prüfungsperiode': 'Winter', 'Vermerk': '', 'Thema': '', 'Beginn': '', 'Gepl. Ende': '',
'Tatsächl. Ende': '', 'Prüfungsart': '', 'Prüfungsform': '', 'LockVersion': 'fd952c3a-c789-4af2-88fd-0dbe8ea0e68b=0,5a639ec2-eec4-4d53-bd92-5ed368f164c3=0,26270d08-a83b-4c2a-94e3-fc732553ef99=0,'
}, index=[1])])
session.students_df = pd.concat([session.students_df, pd.DataFrame({
'Examplan.id': 3, 'PrüfungsNr.': 'P003', 'Titel': 'Chemistry', 'Matrikelnummer': 789012, 'Nachname': 'Brown', 'Vorname': 'Alice', 'Leistung': 'C', 'Versuch': 1,
'Status': 'Passed', 'ECTS': 5, 'Semester': 'WS2021', 'Jahr': 2021, 'Prüfungsperiode': 'Winter', 'Vermerk': '', 'Thema': '', 'Beginn': '', 'Gepl. Ende': '',
'Tatsächl. Ende': '', 'Prüfungsart': '', 'Prüfungsform': '', 'LockVersion': 'ee3f3068-dad7-489c-a5e7-f2eccaedacf7=0,92e970b1-d447-4009-8dde-676d6a31a337=0,8c29a40c-8aa1-4585-b77b-78b410e3d12d=0,'
}, index=[2])])
session.students_df.set_index('Matrikelnummer', inplace=True)
session.points_df = session.students_df.copy()
session.points_df['Punkte'] = [1, 2, 3]
session.points_df['Note'] = ['1,0', '2,0', '3,0']
session.points_df['1'] = [1, 2, 3]
session.points_df['2'] = [1, 2, 3]
session.his_header = pd.DataFrame(columns=['5160 - Rocket Science (Prüfung) | Prüfer/-in: Schröder, Enrico | Wintersemester 2023/24 | Prüfungsperiode 1', None, 'EXAM_CHECK_TOKEN', 'startHISsheet'])
session.his_header = session.his_header.astype(dtypes.his_header)
session.max_points = 123
session.grade_1_0 = 0.50
session.grade_4_0 = 0.20
self.db.save_session(session)
self.assertTrue(session.token in self.db.list_tokens())
with self.subTest('get_session'):
session2 = self.db.get_session(session.token)
self.assertIsNotNone(session2)
self.assertEqual(session, session2)
return session
tests/test_hisio.py
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from io import BytesIO
import unittest
import numpy as np
import pandas as pd
from backend import his_io
class TestHisio(unittest.TestCase):
def check_students_table(self, table):
self.assertEqual(table.shape, (6, 20))
self.assertEqual(list(table.columns),
['Examplan.id', 'PrüfungsNr.', 'Titel', 'Nachname', 'Vorname', 'Leistung', 'Versuch',
'Status', 'ECTS', 'Semester', 'Jahr', 'Prüfungsperiode', 'Vermerk', 'Thema', 'Beginn',
'Gepl. Ende', 'Tatsächl. Ende', 'Prüfungsart', 'Prüfungsform', 'LockVersion'])
self.assertEqual(table.index.name, 'Matrikelnummer')
self.assertEqual(list(table.index), [3434343, 3535353, 3131313, 2323232, 3737373, 3939393])
self.assertEqual(list(table['Examplan.id']), [1414141, 1515151, 1111111, 1313131, 1717171, 1919191])
self.assertEqual(list(table['Nachname']), ['Hendrix', 'Lukather', 'Mayer', 'Page', 'Townshend', 'Van Halen'])
self.assertEqual(list(table['LockVersion']), [
'ea56ef45-1b42-4a9f-8dc2-e9f3b8e6c9a1=0,109aefbb-988c-44a8-a72d-82ad0025dcb0=0,6aed40c3-8ca7-4cf8-8004-534c11121a43=0,',
'1e851fa6-6f69-4fe4-a1a8-510ab8e5c6ea=0,eeecd36a-ee4a-4897-b7db-464542618fb3=0,3fda53aa-2106-4f8b-a832-03aa57917cb2=0,',
'fd952c3a-c789-4af2-88fd-0dbe8ea0e68b=0,5a639ec2-eec4-4d53-bd92-5ed368f164c3=0,26270d08-a83b-4c2a-94e3-fc732553ef99=0,',
'ee3f3068-dad7-489c-a5e7-f2eccaedacf7=0,92e970b1-d447-4009-8dde-676d6a31a337=0,8c29a40c-8aa1-4585-b77b-78b410e3d12d=0,',
'1832c736-1d8c-4d49-bdcd-4295fc5bf3b4=0,8f5bf01d-9cc3-4bb9-86c1-c6d5d0cbc45a=0,9c9cce83-7a96-47fb-acdd-8fc0fd5fddfa=0,',
'14d1b781-a879-4115-a444-c87b725bbfe2=0,98e734b2-3253-43c2-a173-2fe7e686bc93=0,cb6d9ca0-b3e5-40c9-b7f9-e6e3e4511e50=0,'])
self.assertEqual(dict(table.dtypes), his_io.dtypes.students_table)
def check_header(self, header):
self.assertEqual(header.shape, (4, 21))
self.assertEqual(list(header[0]), ['5160 - Rocket Science (Prüfung) | Prüfer/-in: Schröder, Enrico | Wintersemester 2023/24 | Prüfungsperiode 1', None, 'EXAM_CHECK_TOKEN', 'startHISsheet'])
self.assertEqual(header.iloc[2, 1], '6711e6e8b09fe054d0216a4745b5c56d')
def test(self):
with open('5160-RocketScience-WiSe_2023.xlsx', 'rb') as f:
self.table_bytes = BytesIO(f.read())
students_table, his_header = None, None
with self.subTest('read'):
students_table, his_header = his_io.read_excel(self.table_bytes)
self.assertIsNotNone(students_table)
self.assertIsNotNone(his_header)
with self.subTest('students_table'):
self.check_students_table(students_table)
self.assertTrue(students_table['Leistung'].isna().all())
with self.subTest('his_header'):
self.check_header(his_header)
with self.subTest('prepare_table'):
points_table = his_io.prepare_table(students_table)
self.assertEqual(points_table.shape, (6, 22))
self.assertEqual(list(points_table.columns),
['Examplan.id', 'PrüfungsNr.', 'Titel', 'Nachname', 'Vorname', 'Leistung', 'Versuch',
'Status', 'ECTS', 'Semester', 'Jahr', 'Prüfungsperiode', 'Vermerk', 'Thema', 'Beginn',
'Gepl. Ende', 'Tatsächl. Ende', 'Prüfungsart', 'Prüfungsform', 'LockVersion', 'Punkte', 'Note'])
self.assertTrue(points_table['Punkte'].isna().all())
self.assertTrue(points_table['Note'].isna().all())
with self.subTest('export'):
points_table['1'] = [1, 2, 3, 4, 5, 0]
points_table['2'] = [0, 1, 2, 3, 4, 5]
points_table['Punkte'] = [1, 2, 3, 4, 5, 6]
points_table['Note'] = ['1,0', '2,0', '3,0', '4,0', '5,0', 'NT']
grades_table = pd.DataFrame({'Note': ['1,0', '2,0', '3,0', '4,0', '5,0', 'NT'],
'Prozent': [0.9, 0.8, 0.6, 0.4, 0.2, 0.1],
'Untergrenze': [100, 80, 60, 40, 20, 0],
'Obergrenze': [100, 80, 60, 40, 20, 0]})
export_bytes = his_io.export(points_table, his_header, ['1', '2'], grades_table)
self.assertIsNotNone(export_bytes)
exported_students_table, exported_his_header = his_io.read_excel(export_bytes)
self.check_students_table(exported_students_table)
self.assertEqual(list(exported_students_table['Leistung']), ['1,0', '2,0', '3,0', '4,0', '5,0', 'NT'])
self.check_header(exported_his_header)
with self.subTest('exported_summary'):
summary_sheet = pd.read_excel(export_bytes, header=None, sheet_name='Aufgaben')
self.assertIsNotNone(summary_sheet)
self.assertEqual(summary_sheet.shape, (7, 7))
self.assertEqual(list(summary_sheet.iloc[0]), ['Matrikelnummer', 'Nachname', 'Vorname', 'Punkte', 'Note', 1, 2])
self.assertEqual(list(summary_sheet.iloc[1]), [3434343, 'Hendrix', 'Jimi', 1, '1,0', 1, 0])
self.assertEqual(list(summary_sheet.iloc[6]), [3939393, 'Van Halen', 'Eddie', 6, 'NT', 0, 5])
with self.subTest('exported_grades_table'):
grades_table = pd.read_excel(export_bytes, header=None, sheet_name='Notenschlüssel')
self.assertIsNotNone(grades_table)
self.assertEqual(grades_table.shape, (6, 4))
self.assertEqual(list(grades_table.iloc[2]), ['3,0', 0.6, 60, 60])
if __name__ == '__main__':
unittest.main()