Some changes to a few functions

This commit is contained in:
Dazed 2023-07-31 17:05:32 -05:00
parent 7e3130306f
commit 454f50884f
2 changed files with 177 additions and 74 deletions

View file

@ -94,12 +94,21 @@ def parseCSV(readFile, writeFile, filename):
textHistory = []
global LOCK
format = ''
while format == '':
format = input('\n\nSelect the CSV Format:\n\n1. Translator++\n2. Translate All\n')
match format:
case '1':
format = '1'
case '2':
format = '2'
# Get total for progress bar
totalLines = len(readFile.readlines())
readFile.seek(0)
reader = csv.reader(readFile, delimiter=',')
writer = csv.writer(writeFile, delimiter=',', quoting=csv.QUOTE_NONNUMERIC)
reader = csv.reader(readFile, delimiter=',',)
writer = csv.writer(writeFile, delimiter=',', doublequote=None)
with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
pbar.desc=filename
@ -107,57 +116,78 @@ def parseCSV(readFile, writeFile, filename):
for row in reader:
try:
totalTokens += translateCSV(row, pbar, writer, textHistory)
totalTokens += translateCSV(row, pbar, writer, textHistory, format)
except Exception as e:
tracebackLineNo = str(traceback.extract_tb(sys.exc_info()[2])[-1].lineno)
return [reader, totalTokens, e, tracebackLineNo]
return [reader, totalTokens, None]
def translateCSV(row, pbar, writer, textHistory):
def translateCSV(row, pbar, writer, textHistory, format):
translatedText = ''
maxHistory = MAXHISTORY
tokens = 0
global LOCK, ESTIMATE
try:
jaString = row[0]
match format:
# Japanese Text on column 1. English on Column 2
case '1':
jaString = row[0]
# Remove repeating characters because it confuses ChatGPT
jaString = re.sub(r'([\u3000-\uffef])\1{2,}', r'\1\1', jaString)
# Remove repeating characters because it confuses ChatGPT
jaString = re.sub(r'([\u3000-\uffef])\1{2,}', r'\1\1', jaString)
# Sub Vars
jaString = re.sub(r'(\\+[a-zA-Z]+)\[([a-zA-Z0-9]+)\]', r'[\1|\2]', jaString)
# Translate
response = translateGPT(jaString, 'Previous text for context: ' + ' '.join(textHistory), True)
# Translate
response = translateGPT(jaString, 'Previous text for context: ' + ' '.join(textHistory))
# Check if there is an actual difference first
if response[0] != row[0]:
translatedText = response[0]
else:
translatedText = row[1]
tokens += response[1]
# Check if there is an actual difference first
if response[0] != row[0]:
translatedText = response[0]
else:
translatedText = row[1]
tokens += response[1]
# Textwrap
translatedText = textwrap.fill(translatedText, width=WIDTH)
# ReSub Vars
translatedText = re.sub(r'\[([\\a-zA-Z]+)\|([a-zA-Z0-9]+)]', r'\1[\2]', translatedText)
translatedText = re.sub('"', "'", translatedText)
# Set Data
row[1] = translatedText
# TextHistory is what we use to give GPT Context, so thats appended here.
textHistory.append(': ' + translatedText)
# Keep textHistory list at length maxHistory
with LOCK:
if len(textHistory) > maxHistory:
textHistory.pop(0)
if not ESTIMATE:
writer.writerow(row)
pbar.update(1)
# Textwrap
translatedText = textwrap.fill(translatedText, width=WIDTH)
# TextHistory is what we use to give GPT Context, so thats appended here.
textHistory.append(': ' + translatedText)
# Translate Everything
case '2':
for i in range(len(row)):
if i not in [1, 3]:
continue
jaString = row[i]
if '_' in jaString:
continue
# Set Data
row[1] = translatedText
#Translate
response = translateGPT(jaString, 'Reply with only the English translation of the location name.', True)
translatedText = response[0]
tokens += response[1]
# Keep textHistory list at length maxHistory
with LOCK:
if len(textHistory) > maxHistory:
textHistory.pop(0)
if not ESTIMATE:
# Textwrap
translatedText = textwrap.fill(translatedText, width=WIDTH)
# Set Data
translatedText = translatedText.replace('\"', '')
translatedText = translatedText.replace('\'', '')
translatedText = translatedText.replace(',', '')
row[i] = translatedText
writer.writerow(row)
pbar.update(1)
pbar.update(1)
except Exception as e:
tracebackLineNo = str(traceback.extract_tb(sys.exc_info()[2])[-1].lineno)
@ -166,30 +196,87 @@ def translateCSV(row, pbar, writer, textHistory):
return tokens
def subVars(jaString):
varRegex = r'\\+[a-zA-Z]+\[[0-9a-zA-Z\\\[\]]+\]+|[\\]+[#|]+|\\+[\.<>a-zA-Z]+'
count = 0
varList = re.findall(varRegex, jaString)
if len(varList) != 0:
for var in varList:
jaString = jaString.replace(var, '[v' + str(count) + ']')
count += 1
return [jaString, varList]
def resubVars(translatedText, varList):
count = 0
if len(varList) != 0:
for var in varList:
translatedText = translatedText.replace('[v' + str(count) + ']', var)
count += 1
# Remove Color Variables Spaces
if '\\c' in translatedText:
translatedText = re.sub(r'\s*(\\+c\[[1-9]+\])\s*', r'\1', translatedText)
translatedText = re.sub(r'\s*(\\+c\[0+\])', r'\1', translatedText)
return translatedText
@retry(exceptions=Exception, tries=5, delay=5)
def translateGPT(t, history):
def translateGPT(t, history, fullPromptFlag):
with LOCK:
# If ESTIMATE is True just count this as an execution and return.
if ESTIMATE:
global TOKENS
enc = tiktoken.encoding_for_model("gpt-3.5-turbo")
enc = tiktoken.encoding_for_model("gpt-3.5-turbo-0613")
TOKENS += len(enc.encode(t)) * 2 + len(enc.encode(history)) + len(enc.encode(PROMPT))
return (t, 0)
# Sub Vars
varResponse = subVars(t)
subbedT = varResponse[0]
# If there isn't any Japanese in the text just skip
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴ]+', t):
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴー]+', subbedT):
return(t, 0)
"""Translate text using GPT"""
system = PROMPT + history
context = 'Character Context: クレア == Clea | Female, ノラ == Nora | Female, リルム == Relm | Female, ソフィア == Sophia | Female, セリス == Celis | Female, ピステ == Piste | Female, イクト == Ect | Female, カロン == Caron | Female, エモニ == Emoni | Female, アミナ == Amina | Female, アルマダ == Armada | Female, フォニ == Phoni | Female, エレオ == Eleo | Female, ペルノ == Perno | Female'
if fullPromptFlag:
system = PROMPT
user = 'Text to Translate: ' + subbedT
else:
system = 'You are an expert translator who translates everything to English. Reply with only the English Translation of the text.'
user = 'Text to Translate: ' + subbedT
response = openai.ChatCompletion.create(
temperature=0,
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": system},
{"role": "user", "content": t}
{"role": "user", "content": context},
{"role": "user", "content": history},
{"role": "user", "content": user}
],
request_timeout=30,
)
return [response.choices[0].message.content, response.usage.total_tokens]
# Save Translated Text
translatedText = response.choices[0].message.content
tokens = response.usage.total_tokens
# Resub Vars
translatedText = resubVars(translatedText, varResponse[1])
# Remove Placeholder Text
translatedText = translatedText.replace('English Translation: ', '')
translatedText = translatedText.replace('Translation: ', '')
translatedText = translatedText.replace('Text to Translate: ', '')
translatedText = translatedText.replace('English Translation:', '')
translatedText = translatedText.replace('Translation:', '')
translatedText = translatedText.replace('Text to Translate:', '')
# Return Translation
if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
return [t, response.usage.total_tokens]
else:
return [translatedText, tokens]

View file

@ -26,7 +26,7 @@ PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
THREADS = 20 # For GPT4 rate limit will be hit if you have more than 1 thread.
LOCK = threading.Lock()
WIDTH = 60
LISTWIDTH = 32
LISTWIDTH = 60
MAXHISTORY = 10
ESTIMATE = ''
TOTALCOST = 0
@ -207,9 +207,9 @@ def translateNote(event, regex):
# Regex that only matches text inside LB.
jaString = event['note']
match = re.search(regex, jaString)
match = re.findall(regex, jaString, re.DOTALL)
if match:
jaString = match.group(1)
jaString = match[0]
# Need to remove outside code
jaString = re.sub(r'^[^一-龠ぁ-ゔァ-ヴー\<\>【】]+', '', jaString)
jaString = re.sub(r'[^一-龠ぁ-ゔァ-ヴー\<\>【】。!?]+$', '', jaString)
@ -354,26 +354,26 @@ def parseSystem(data, filename):
def searchThings(name, pbar):
tokens = 0
# Set the context of what we are translating
responseList = []
responseList.append(translateGPT(name['name'], 'Reply with only the English translation of the RPG Item name.', False))
responseList.append(translateGPT(name['description'], 'Reply with only the English translation of the description.', False))
# Name
nameResponse = translateGPT(name['name'], 'Reply with only the english translation of the RPG item name.', False) if 'name' in name else ''
# Description
descriptionResponse = translateGPT(name['description'], 'Reply with only the english translation of the description.', False) if 'description' in name else ''
if '<SG説明:' in name['note']:
tokens += translateNote(name, r'<SG説明:([\s\S]*?)>')
tokens += translateNote(name, r'<SGカテゴリ:([\s\S]*?)>')
# Extract all our translations in a list from response
for i in range(len(responseList)):
tokens += responseList[i][1]
responseList[i] = responseList[i][0]
# Count Tokens
tokens += nameResponse[1] if nameResponse != '' else 0
tokens += descriptionResponse[1] if descriptionResponse != '' else 0
# Set Data
name['name'] = responseList[0].strip('.\"')
responseList[1] = textwrap.fill(responseList[1], LISTWIDTH)
name['description'] = responseList[1].strip('\"')
# name['note'] = responseList[2]
pbar.update(1)
if 'name' in name:
name['name'] = nameResponse[0].strip('\"')
if 'description' in name:
name['description'] = descriptionResponse[0].strip('\"')
pbar.update(1)
return tokens
def searchNames(name, pbar, context):
@ -383,7 +383,7 @@ def searchNames(name, pbar, context):
if 'Actors' in context:
newContext = 'Reply with only the english translation of the NPC name'
if 'Armors' in context:
newContext = 'Reply with only the english translation of the RPG armor/clothing name'
newContext = 'Reply with only the english translation of the RPG equipment name'
if 'Classes' in context:
newContext = 'Reply with only the english translation of the RPG class name'
if 'MapInfos' in context:
@ -401,7 +401,10 @@ def searchNames(name, pbar, context):
responseList.append(translateGPT(name['nickname'], 'Reply with ONLY the english translation of the NPC nickname', False))
if 'Armors' in context or 'Weapons' in context:
responseList.append(translateGPT(name['description'], '', True))
if 'description' in name:
responseList.append(translateGPT(name['description'], '', True))
else:
responseList.append(['', 0])
if 'Enemies' in context:
if 'desc1' in name['note']:
@ -430,9 +433,10 @@ def searchNames(name, pbar, context):
if 'Armors' in context or 'Weapons' in context:
translatedText = textwrap.fill(responseList[1], LISTWIDTH)
name['description'] = translatedText.strip('\"')
if '<SG説明:' in name['note']:
tokens += translateNote(name, r'<SG説明:([^>]*)>')
if 'description' in name:
name['description'] = translatedText.strip('\"')
if '<SG説明:' in name['note']:
tokens += translateNote(name, r'<SG説明:([^>]*)>')
pbar.update(1)
return tokens
@ -467,7 +471,6 @@ def searchCodes(page, pbar):
# if jaString.startswith(' '):
# jaString = jaString + ': '
oldjaString = jaString
jaString = re.sub(r'([\u3000-\uffef])\1{3,}', r'\1\1\1', jaString)
# Using this to keep track of 401's in a row. Throws IndexError at EndOfList (Expected Behavior)
@ -484,6 +487,7 @@ def searchCodes(page, pbar):
# Join up 401 groups for better translation.
if len(currentGroup) > 0:
finalJAString = ''.join(currentGroup)
oldjaString = finalJAString
# Check for speaker
if '\\N' in finalJAString:
@ -910,20 +914,20 @@ def searchCodes(page, pbar):
jaString = jaString.replace('', '.')
# Need to remove outside code and put it back later
startString = re.search(r'^[^一-龠ぁ-ゔァ-ヴー【】()A--]+', jaString)
jaString = re.sub(r'^[^一-龠ぁ-ゔァ-ヴー【】()A--]+', '', jaString)
endString = re.search(r'[^一-龠ぁ-ゔァ-ヴー【】()A-- 。!?]+$', jaString)
jaString = re.sub(r'[^一-龠ぁ-ゔァ-ヴー【】()A-- 。!?]+$', '', jaString)
startString = re.search(r'^en.+\)\s|^en.+\)|^if.+\)\s|^if.+\)', jaString)
jaString = re.sub(r'^en.+\)\s|^en.+\)|^if.+\)\s|^if.+\)', '', jaString)
endString = re.search(r'\sen.+$|en.+$|\sif.+$|if.+$', jaString)
jaString = re.sub(r'\sen.+$|en.+$|\sif.+$|if.+$', '', jaString)
if startString is None: startString = ''
else: startString = startString.group()
if endString is None: endString = ''
else: endString = endString.group()
if len(textHistory) > 0:
response = translateGPT(jaString, 'Previous text for context: ' + textHistory[len(textHistory)-1], False)
response = translateGPT(jaString, 'Previous text for context: ' + textHistory[len(textHistory)-1], True)
translatedText = response[0]
else:
response = translateGPT(jaString, '', False)
response = translateGPT(jaString, '', True)
translatedText = response[0]
# Remove characters that may break scripts
@ -1003,7 +1007,6 @@ def searchCodes(page, pbar):
# This is part of the logic so we just pass it
tracebackLineNo = str(traceback.extract_tb(sys.exc_info()[2])[-1].lineno)
# raise Exception(str(e) + '|Line:' + tracebackLineNo)
pass
except Exception as e:
tracebackLineNo = str(traceback.extract_tb(sys.exc_info()[2])[-1].lineno)
raise Exception(str(e) + '|Line:' + tracebackLineNo + '| Failed to translate: ' + oldjaString)
@ -1044,20 +1047,20 @@ def searchSS(state, pbar):
tokens = 0
# Name
nameResponse = translateGPT(state['name'], 'Reply with only the english translation of the RPG item name.', False) if 'name' in state else ''
nameResponse = translateGPT(state['name'], 'Reply with only the english translation of the RPG Skill name.', False) if 'name' in state else ''
# Description
descriptionResponse = translateGPT(state['description'], 'Reply with only the english translation of the description.', False) if 'description' in state else ''
# Messages
message1Response = translateGPT(state['message1'], 'reply with only the english translation of the text.', False) if 'message1' in state else ''
message1Response = translateGPT('Taro' + state['message1'], 'reply with only the gender neutral english translation of the text.', False) if 'message1' in state else ''
message2Response = translateGPT(state['message2'], 'reply with only the english translation of the text.', False) if 'message2' in state else ''
message3Response = translateGPT(state['message3'], 'reply with only the english translation of the text.', False) if 'message3' in state else ''
message4Response = translateGPT(state['message4'], 'reply with only the english translation of the text.', False) if 'message4' in state else ''
# if 'note' in state:
# if 'raceDesc' in state['note']:
# tokens += translateNote(state, r'<raceDesc:([^>]*)>')
if 'DOBBY' in state['note']:
tokens += translateNote(state, r'<DOBBY_SKILLINFO>\n(.+)\n</DOBBY_SKILLINFO>')
# Count Tokens
tokens += nameResponse[1] if nameResponse != '' else 0
@ -1071,9 +1074,12 @@ def searchSS(state, pbar):
if 'name' in state:
state['name'] = nameResponse[0].strip('\"')
if 'description' in state:
state['description'] = descriptionResponse[0].strip('\"')
# Textwrap
translatedText = descriptionResponse[0]
translatedText = textwrap.fill(translatedText, width=LISTWIDTH)
state['description'] = translatedText.strip('\"')
if 'message1' in state:
state['message1'] = message1Response[0].strip('\"')
state['message1'] = message1Response[0].strip('\"').replace('Taro', '')
if 'message2' in state:
state['message2'] = message2Response[0].strip('\"')
if 'message3' in state:
@ -1170,6 +1176,10 @@ def resubVars(translatedText, varList):
translatedText = translatedText.replace('[v' + str(count) + ']', var)
count += 1
# Remove Color Variables Spaces
if '\\c' in translatedText:
translatedText = re.sub(r'\s*(\\+c\[[1-9]+\])\s*', r'\1', translatedText)
translatedText = re.sub(r'\s*(\\+c\[0+\])', r'\1', translatedText)
return translatedText
@retry(exceptions=Exception, tries=5, delay=5)
@ -1210,16 +1220,22 @@ def translateGPT(t, history, fullPromptFlag):
request_timeout=30,
)
# Save Translated Text
translatedText = response.choices[0].message.content
tokens = response.usage.total_tokens
# Resub Vars
translatedText = resubVars(translatedText, varResponse[1])
# Remove Placeholder Text
translatedText = translatedText.replace('English Translation: ', '')
translatedText = translatedText.replace('Translation: ', '')
translatedText = translatedText.replace('Text to Translate: ', '')
translatedText = translatedText.replace('English Translation:', '')
translatedText = translatedText.replace('Translation:', '')
translatedText = translatedText.replace('Text to Translate:', '')
# Return Translation
if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
return [t, response.usage.total_tokens]
else: