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„excel_update.py“ löschen

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Jonathan Frei 2024-02-14 16:19:13 +00:00
parent c65c015b64
commit 82dbafdf94
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excel_update.py
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import openpyxl
from openpyxl.styles import PatternFill
import pandas as pd
def fill_cell(ws, cell, color):
fill = PatternFill(start_color=color, end_color=color, fill_type='solid')
cell.fill = fill
def calculate_and_fill_deviation(ws, row, absolute_deviations):
if absolute_deviations:
average_deviation = sum(absolute_deviations) / len(absolute_deviations)
deviation_cell = ws.cell(row=row[0].row, column=4) # Angenommen, die 'Abweichung'-Spalte ist Spalte D
deviation_cell.value = average_deviation
# Färbe die Zelle basierend auf der durchschnittlichen Abweichung
if average_deviation < 5:
fill_color = 'FF00FF00' # Grün
elif 5 <= average_deviation < 10:
fill_color = 'FFFFFF00' # Gelb
else:
fill_color = 'FFFF0000' # Rot
fill_cell(ws, deviation_cell, fill_color)
def color_cells_based_on_deviation(testruns_excel_file_path, testcases_excel_file_path):
wb_testruns = openpyxl.load_workbook(testruns_excel_file_path)
ws_testruns = wb_testruns.active
df_testcases = pd.read_excel(testcases_excel_file_path)
for row in ws_testruns.iter_rows(min_row=2, max_row=ws_testruns.max_row):
deviations = []
absolute_deviations = []
for cell in row[4:]:
header_cell_value = ws_testruns.cell(row=1, column=cell.column).value
if header_cell_value and "Testcase" in header_cell_value:
testcase_num = int(header_cell_value.split('_')[1])
expected_pulse_row = df_testcases[df_testcases['Testcase'] == testcase_num]
if not expected_pulse_row.empty:
expected_pulse = expected_pulse_row.iloc[0]['Puls']
actual_pulse = cell.value
if actual_pulse is not None and expected_pulse is not None:
relative_deviation = (actual_pulse - expected_pulse) / expected_pulse * 100
absolute_deviation = abs(relative_deviation)
deviations.append(relative_deviation)
absolute_deviations.append(absolute_deviation)
if absolute_deviation < 5:
fill_color = 'FF00FF00' # Grün
elif 5 <= absolute_deviation < 10:
fill_color = 'FFFFA500' if relative_deviation < 0 else 'FFFFFF00' # Orange für niedriger, Gelb für höher
else:
fill_color = 'FFC0CB' if relative_deviation < 0 else 'FFFF0000' # Rosa für niedriger, Rot für höher
fill_cell(ws_testruns, cell, fill_color)
calculate_and_fill_deviation(ws_testruns, row, absolute_deviations)
wb_testruns.save(testruns_excel_file_path)