Max/qwerfd2_Groove_Coaster_2_Server
1
0
Fork 0
mirror of https://github.com/qwerfd2/Groove_Coaster_2_Server.git synced 2026-10-04 12:48:09 +03:00
Code Issues Packages Projects Releases Wiki Activity

fix

Browse Source
This commit is contained in:
UnitedAirforce
2025-02-09 13:38:29 +08:00
parent d86c75f943
commit d5bc4841f4
3 changed files with 7 additions and 29 deletions
Download Patch File Download Diff File Expand all files Collapse all files
various-tools/player dat/reader.py
+4 -13
View File
@@ -23,7 +23,7 @@ def read_byte(f):
def parse_pak_file(file_path, output_xlsx):
with open(file_path, "rb") as f:
num_elements = read_int_old(f, 2)
num_elements = read_int_old(f, 2) # Read header (2 bytes)
data = []
for _ in range(num_elements):
@@ -39,12 +39,7 @@ def parse_pak_file(file_path, output_xlsx):
"String4": read_string(f),
"String5": read_string(f),
"String6": read_string(f),
"Field5": read_int(f),
"Float1": read_int(f, 1),
"Float2": read_int(f, 1),
"Float3": read_int(f, 1),
"Float4": read_int(f, 1),
"Field6": read_byte(f),
"Field5": read_int(f, 9),
"Field7": read_byte(f),
"Field8": read_int(f),
"Field9": read_byte(f),
@@ -76,13 +71,9 @@ def parse_pak_file(file_path, output_xlsx):
"Field35": read_int(f),
"Field36": read_int(f),
"Field37": read_int(f),
"Field38": read_byte(f)
"Field38": read_int(f, 2)
}
# This is a hack (not derived from IDA) but there are discrepancies here that can be addressed this way
if (entry["String5"] != "" or entry["String6"] != "" ):
entry["Field39"] = read_int(f)
entry["Field40"] = read_byte(f)
data.append(entry)
df = pd.DataFrame(data)
various-tools/player dat/readme.txt
-4
View File
@@ -1,5 +1 @@
Converts player.dat to and from xlsx sheets.
The data format is definitely not 100% correct here, and there is a bodge to address the 4 redundant bytes on the first few rows.
But it works!
various-tools/player dat/writer.py
+3 -12
View File
@@ -3,7 +3,7 @@ import pandas as pd
def write_string(f, s):
if pd.isna(s):
f.write(struct.pack("B", 0))
f.write(struct.pack("B", 0)) # Write 00 if string is empty
else:
encoded = s.encode("utf-8")
f.write(struct.pack("B", len(encoded)))
@@ -14,7 +14,7 @@ def write_int(f, value, size=4):
def write_byte(f, value):
if pd.isna(value):
f.write(struct.pack("B", 0))
f.write(struct.pack("B", 0)) # Write 00 if string is empty
else:
f.write(bytes.fromhex(value))
@@ -23,7 +23,7 @@ def convert_xlsx_to_dat(input_xlsx, output_dat):
with open(output_dat, "wb") as f:
num_elements = len(df)
write_int(f, f"{num_elements:04X}", 2)
write_int(f, f"{num_elements:04X}", 2) # Header (2 bytes for number of elements)
for _, row in df.iterrows():
write_int(f, row["Field1"])
@@ -37,11 +37,6 @@ def convert_xlsx_to_dat(input_xlsx, output_dat):
write_string(f, row["String5"])
write_string(f, row["String6"])
write_int(f, row["Field5"])
write_byte(f, row["Float1"])
write_byte(f, row["Float2"])
write_byte(f, row["Float3"])
write_byte(f, row["Float4"])
write_byte(f, row["Field6"])
write_byte(f, row["Field7"])
write_int(f, row["Field8"])
write_byte(f, row["Field9"])
@@ -75,9 +70,5 @@ def convert_xlsx_to_dat(input_xlsx, output_dat):
write_int(f, row["Field37"])
write_byte(f, row["Field38"])
if pd.notna(row.get("Field39")):
write_int(f, row["Field39"])
write_byte(f, row["Field40"])
convert_xlsx_to_dat("player.xlsx", "out_player.dat")