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@@ -11,7 +11,7 @@ if len(sys.argv) < 2:
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# Set input and output file
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input_file = sys.argv[1]
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-output_path = sys.argv[2] if len(sys.argv) > 2 else "RDB.xlsx" # Default to RDB.xlsx if user of script doesnt define it lmao
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+output_path = sys.argv[2] if len(sys.argv) > 2 else "RDB.xlsx" # Default to RDB.xlsx if user of script doesnt define it
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with open(input_file, "r") as file:
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@@ -85,7 +85,7 @@ def parse_rdb_data(lines):
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parsed_entries = parse_rdb_data(lines)
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-# Categorize them and shit
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+# Categorize them and stuff
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def categorize_entries(entries):
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main_entries = []
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multiple_tns_entries = []
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@@ -145,7 +145,7 @@ def categorize_entries(entries):
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main_entries, multiple_tns_entries, route_entries, cdp_entries, feature_code_entries, att_ldn_entries, other_entries, unexpected_data, unexpected_sheet_name = categorize_entries(parsed_entries)
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-# Save all the data to excel but dropping the raw unprocessed TNs tab that gets made for some reason I dont know why I hate coding and python
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+# Save all the data to excel but dropping the raw unprocessed TNs tab that gets made for some reason I dont know why I dont like coding and python
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with pd.ExcelWriter(output_path) as writer:
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for sheet_name, data in {
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"Main": main_entries,
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@@ -159,7 +159,7 @@ with pd.ExcelWriter(output_path) as writer:
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}.items():
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df = pd.DataFrame(data)
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if "TNs" in df.columns:
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- df = df.drop(columns=["TNs"]) # Remove TNs column if present
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+ df = df.drop(columns=["TNs"]) # Remove TNs column if present for some reason
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df.to_excel(writer, sheet_name=sheet_name, index=False)
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print("Processing complete. Output saved to", output_path)
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Kablersalat