mirror of
https://github.com/qwerfd2/Groove_Coaster_2_Server.git
synced 2026-10-09 15:09:57 +03:00
93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
import struct
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import pandas as pd
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def read_string(f):
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length = struct.unpack("B", f.read(1))[0]
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str = f.read(length).decode("utf-8")
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print("str ", str)
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return str
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def read_int_old(f, size=4):
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integer = int.from_bytes(f.read(size), byteorder="big")
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return integer
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def read_int(f, size=4):
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result = " ".join(f"{b:02X}" for b in f.read(size))
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print("int ", result)
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return result
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def read_byte(f):
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result = " ".join(f"{b:02X}" for b in f.read(1))
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print("byte ", result)
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return result
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def parse_pak_file(file_path, output_xlsx):
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with open(file_path, "rb") as f:
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num_elements = read_int_old(f, 2)
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data = []
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for _ in range(num_elements):
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print("prd", _)
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entry = {
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"Field1": read_int(f),
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"Field2": read_byte(f),
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"Field3": read_int(f),
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"Field4": read_byte(f),
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"String1": read_string(f),
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"String2": read_string(f),
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"String3": read_string(f),
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"String4": read_string(f),
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"String5": read_string(f),
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"String6": read_string(f),
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"Field5": read_int(f),
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"Float1": read_int(f, 1),
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"Float2": read_int(f, 1),
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"Float3": read_int(f, 1),
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"Float4": read_int(f, 1),
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"Field6": read_byte(f),
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"Field7": read_byte(f),
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"Field8": read_int(f),
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"Field9": read_byte(f),
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"Field10": read_byte(f),
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"Field11": read_int(f),
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"Field12": read_int(f),
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"Field13": read_int(f),
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"Field14": read_int(f),
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"Field15": read_byte(f),
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"Field16": read_byte(f),
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"Field17": read_int(f),
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"Field18": read_int(f),
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"Field19": read_byte(f),
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"Field20": read_int(f),
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"Field21": read_byte(f),
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"Field22": read_int(f),
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"Field23": read_int(f),
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"Field24": read_byte(f),
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"Field25": read_int(f),
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"Field26": read_int(f),
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"Field27": read_byte(f),
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"Field28": read_int(f),
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"Field29": read_int(f),
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"Field30": read_byte(f),
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"Field31": read_int(f),
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"Field32": read_int(f),
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"Field33": read_int(f),
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"Field34": read_byte(f),
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"Field35": read_int(f),
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"Field36": read_int(f),
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"Field37": read_int(f),
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"Field38": read_byte(f)
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}
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# This is a hack (not derived from IDA) but there are discrepancies here that can be addressed this way
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if (entry["String5"] != "" or entry["String6"] != "" ):
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entry["Field39"] = read_int(f)
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entry["Field40"] = read_byte(f)
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data.append(entry)
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df = pd.DataFrame(data)
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df.to_excel(output_xlsx, index=False)
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# Example usage
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parse_pak_file("player.dat", "player.xlsx")
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