Readme update

eprgrader.py

@@ -8,11 +8,13 @@ Later on, collecting all the stylecheck files and grading tables into
 neat little archives for upload.
 """
 
-__author__ = "Adrian Welcker, Lukas Horst"
+__author__ = "Adrian Welcker"
+__credits__ = "Adjustments from Lukas Horst"
 
 import argparse
 import contextlib
 import copy
+import csv
 import io
 import itertools
 import os
@@ -20,18 +22,19 @@ import pathlib
 import platform
 import shutil
 import sys
-from itertools import count
 
+import openpyxl
+import pandas as pd
 import unicodedata
 import zipfile
 import re
 
+from openpyxl.styles import Font
 from datetime import datetime
 
 from pylint.lint import Run as RunPylint
 import pycodestyle
 
-from rating_table_adjuster import update_rating, update_style_deduction
 from violation_checker import ViolationChecker
 
 PYLINT_ARGS = [
@@ -189,7 +192,10 @@ def lint_files(folders, author_pairs, deduction: bool):
 
 
 def remove_unnecessary_violations(style_check: str):
-    """Function to delete all lines with a violation to ignore"""
+    """
+    Function to delete all lines with a violation to ignore
+    author: Lukas Horst
+    """
     lines = style_check.splitlines()
 
     filtered_lines = []
@@ -336,6 +342,99 @@ def finalise_grading(folder: pathlib.Path):
                     outfile.write(file, pathlib.PurePath(person.name) / file.name)
 
 
+def get_points(file_path: str):
+    """
+    Returns the total points of the given rating table
+    author: Lukas Horst
+    """
+    data = pd.read_excel(file_path, usecols='A, C')
+    total_points = 0
+    for i in range(len(data)):
+        if data.iat[i, 0] == 'Summe':
+            break
+        value = data.iat[i, 1]
+        if pd.notna(value) and type(value) != str:
+            total_points += value
+    return max(0, total_points)
+
+
+def update_style_deduction(file_path: str, violation_checker: ViolationChecker, student_name: str):
+    """
+    Function to update the deduction for style violations in the given rating table
+    author: Lukas Horst
+    """
+    wb = openpyxl.load_workbook(file_path, data_only=True)
+    ws = wb['Sheet1']
+    # Updating the name
+    ws[f'A1'].value = student_name
+    rows = ws.iter_rows(min_row=1, max_row=75, min_col=1, max_col=1)
+    for i, row in enumerate(rows):
+        cell = row[0]
+        if cell.value is not None:
+            # Updating the deduction for the author variable
+            if '__author__' in cell.value:
+                ws[f'C{i+1}'].value = -violation_checker.count_deduction(3)
+                ws[f'C{i + 1}'].font = Font(color='FF0000')
+            # All deductions except the author variable and docstrings
+            elif 'o.g. Fehler' in cell.value:
+                deduction = 0
+                for j in range(1, 10):
+                    if j == 3 or j == 5:
+                        continue
+                    deduction -= violation_checker.count_deduction(j)
+                ws[f'C{i+1}'].value = deduction
+                ws[f'C{i+1}'].font = Font(color='FF0000')
+            # Deduction for docstrings
+            elif 'Abzug bei' in cell.value:
+                ws[f'C{i+1}'].value = -violation_checker.count_deduction(5)
+                ws[f'C{i + 1}'].font = Font(color='FF0000')
+            # Updating the function for the total points
+            elif 'Summe' in cell.value:
+                ws[f'C{i+1}'] = f'=MAX(0, SUM(C1:C{i}))'
+                break
+    wb.save(file_path)
+    wb.close()
+
+
+def read_csv_file(file_path: str):
+    """
+    Function to read a csv file and returns a list with each row in a dic
+    author: Lukas Horst
+    """
+    with open(file_path, mode='r', newline='', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        rows = []
+        for row in reader:
+            rows.append(row)
+    return rows
+
+
+def write_csv_file(file_path: str, data: list[dict[str, str]]):
+    """
+    Function to (over)write a csv file with the given data
+    author: Lukas Horst
+    """
+    with open(file_path, mode='w', newline='', encoding='utf-8') as file:
+        fieldnames = list(data[0].keys())
+        writer = csv.DictWriter(file, fieldnames=fieldnames)
+        writer.writeheader()
+        writer.writerows(data)
+
+
+def update_rating(overall_rating_path: str, student_rating_path: str, student_name: str):
+    """
+    Function to update the points of the given student
+    author: Lukas Horst
+    """
+    csv_data = read_csv_file(overall_rating_path)
+    for row in csv_data:
+        if row['Vollständiger Name'] == student_name:
+            points = str(get_points(student_rating_path)).replace('.', ',')
+            row['Bewertung'] = points
+            write_csv_file(overall_rating_path, csv_data)
+            return
+
+
 def main():
     """The function main is where execution begins."""
     print('EPRgrader v3/221031 running on ', datetime.now(), ' [', platform.platform(terse=True), ' ',