feat(everything): fix doh and increase min TLS to 1.3

2026-07-08 08:42:39 +01:00
parent 0c03bcbcfe
commit cc5e0ab00a
13 changed files with 691 additions and 530 deletions
@@ -0,0 +1,71 @@
+import csv
+import sys
+from collections import defaultdict
+
+COLUMNS = ["provider", "protocol", "dnssec_mode", "query_type", "keep_alive"]
+
+
+def get_uncovered_values(rows, selected_indices, col_indices, all_values):
+    covered = defaultdict(set)
+    for idx in selected_indices:
+        for col, col_idx in col_indices.items():
+            covered[col].add(rows[idx][col_idx])
+    
+    uncovered = {}
+    for col in COLUMNS:
+        uncovered[col] = all_values[col] - covered[col]
+    return uncovered
+
+
+def main(input_file, output_file):
+    with open(input_file, newline="") as f:
+        reader = csv.reader(f)
+        header = next(reader)
+        rows = list(reader)
+
+    col_indices = {col: header.index(col) for col in COLUMNS}
+
+    # Collect all unique values per column
+    all_values = defaultdict(set)
+    for row in rows:
+        for col, idx in col_indices.items():
+            all_values[col].add(row[idx])
+
+    # Greedy set cover
+    selected = []
+    uncovered = get_uncovered_values(rows, selected, col_indices, all_values)
+
+    while any(uncovered.values()):
+        best_row = None
+        best_score = 0
+
+        for i, row in enumerate(rows):
+            if i in selected:
+                continue
+            score = sum(
+                1 for col, idx in col_indices.items() if row[idx] in uncovered[col]
+            )
+            if score > best_score:
+                best_score = score
+                best_row = i
+
+        if best_row is None:
+            break
+
+        selected.append(best_row)
+        uncovered = get_uncovered_values(rows, selected, col_indices, all_values)
+
+    with open(output_file, "w", newline="") as f:
+        writer = csv.writer(f)
+        writer.writerow(header)
+        for idx in selected:
+            writer.writerow(rows[idx])
+
+    print(f"Selected {len(selected)} rows out of {len(rows)}")
+
+
+if __name__ == "__main__":
+    if len(sys.argv) != 3:
+        print("Usage: python minimize_csv.py input.csv output.csv")
+        sys.exit(1)
+    main(sys.argv[1], sys.argv[2])