def _load_local_checksum_data() -> dict:
if os.path.isfile(path_finder.get_local_checksums_path()) != True:
_create_dummy_checksum_data_file()
with open(path_finder.get_local_checksums_path()) as local_checksums_file:
data_as_dict = toml.load(local_checksums_file)
return data_as_dict
def _update_checksum_entry(entry, local_checksum_data):
file_path = os.path.join(path_finder.get_nwn_path(), entry["target_dir"])
file_path = os.path.join(file_path, entry["name"])
print("Doing checksum for: ", entry["name"])
# Skip generating a checksum for portraits, since there's so bloody many of them!
checksum = "portrait"
if entry["target_dir"] != "portraits":
checksum = _generate_file_md5(file_path)
else:
return
print ("Checksum: ", checksum)
modified_at = time.ctime(os.path.getmtime(file_path))
print ("Modified at: ", modified_at)
checksum_entry = {}
checksum_entry["name"] = entry["name"]
checksum_entry["checksum"] = checksum
checksum_entry["modified"] = modified_at
found_entry = False
if checksum_entry["name"] in local_checksum_data:
found_entry = True
local_checksum_data[checksum_entry["name"]]["checksum"] = checksum_entry["checksum"]
if found_entry == False:
local_checksum_data[checksum_entry["name"]] = checksum_entry
f = open(path_finder.get_local_checksums_path(),'w')
f.write(toml.dumps(local_checksum_data))
f.flush()
f.close()
return checksum_entry
def _create_dummy_checksum_data_file():
f = open(path_finder.get_local_checksums_path(),'w+')
print("Creating dummy checksum data file..")
f.write('[files]\n')
f.close()
