From c6dad9ff9f4a3583d4bc46f12df4f071a4094374 Mon Sep 17 00:00:00 2001
From: Maurice <zimmnau@ilr.rwth-aachen.de>
Date: Tue, 25 Feb 2025 17:55:00 +0100
Subject: [PATCH] Added helper script to evaluate the design evaluator results
---
.../utils/evaluate_designEvaluator_results.py | 46 +++++++++++++++++++
1 file changed, 46 insertions(+)
create mode 100644 .ci-scripts/utils/evaluate_designEvaluator_results.py
diff --git a/.ci-scripts/utils/evaluate_designEvaluator_results.py b/.ci-scripts/utils/evaluate_designEvaluator_results.py
new file mode 100644
index 00000000..ce3b6643
--- /dev/null
+++ b/.ci-scripts/utils/evaluate_designEvaluator_results.py
@@ -0,0 +1,46 @@
+import argparse
+import pandas as pd
+from bs4 import BeautifulSoup
+import numpy as np
+from io import StringIO
+import sys
+
+
+def check_html_file(html_file):
+ # Load and parse the HTML file with BeautifulSoup
+ with open(html_file, 'r') as file:
+ soup = BeautifulSoup(file, 'lxml')
+
+ # Find all tables in the HTML file (in case there are multiple)
+ tables = soup.find_all('table')
+
+ # Select the first table (assuming there's only one)
+ table = tables[0]
+
+ table = str(table)
+ # Convert the HTML table to a Pandas DataFrame
+ df = pd.read_html(StringIO(table))[0]
+
+ # Check the values in the fourth column (index 3)
+ has_deviation = False
+ for index, value in enumerate(df.iloc[:, 3]):
+ if not pd.isna(value) and value not in ['-nan', 'nan', 0]:
+ first_column_value = df.iloc[index, 0] # Get the first column value of this row
+ print(f"Warning: Deviation in '{first_column_value}'.")
+ print(f"Deviation between server version and calculation with feature: '{value}'")
+ has_deviation = True
+
+ if has_deviation:
+ sys.exit(2)
+
+
+def main():
+ parser = argparse.ArgumentParser(
+ description='Check an HTML file for invalid values in the fourth column.'
+ )
+ parser.add_argument('--file', type=str, help='Path to the HTML file')
+ args = parser.parse_args()
+ check_html_file(args.file)
+
+if __name__ == "__main__":
+ main()
--
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