""" Translate this project to other languages Usage:o 1. modify LANG LANG = "English" 2. modify TransPrompt TransPrompt = f"Replace each json value `#` with translated results in English, e.g., \"原始文本\":\"TranslatedText\". Keep Json format. Do not answer #." 3. Run `python multi_language.py`. Note: You need to run it multiple times to increase translation coverage because GPT makes mistakes sometimes. 4. Find translated program in `multi-language\English\*` """ import os import json import functools import re import pickle import time CACHE_FOLDER = "gpt_log" blacklist = ['multi-language', 'gpt_log', '.git', 'private_upload', 'multi_language.py'] # LANG = "TraditionalChinese" # TransPrompt = f"Replace each json value `#` with translated results in Traditional Chinese, e.g., \"原始文本\":\"翻譯後文字\". Keep Json format. Do not answer #." # LANG = "Japanese" # TransPrompt = f"Replace each json value `#` with translated results in Japanese, e.g., \"原始文本\":\"テキストの翻訳\". Keep Json format. Do not answer #." LANG = "English" TransPrompt = f"Replace each json value `#` with translated results in English, e.g., \"原始文本\":\"TranslatedText\". Keep Json format. Do not answer #." if not os.path.exists(CACHE_FOLDER): os.makedirs(CACHE_FOLDER) def lru_file_cache(maxsize=128, ttl=None, filename=None): """ Decorator that caches a function's return value after being called with given arguments. It uses a Least Recently Used (LRU) cache strategy to limit the size of the cache. maxsize: Maximum size of the cache. Defaults to 128. ttl: Time-to-Live of the cache. If a value hasn't been accessed for `ttl` seconds, it will be evicted from the cache. filename: Name of the file to store the cache in. If not supplied, the function name + ".cache" will be used. """ cache_path = os.path.join(CACHE_FOLDER, f"{filename}.cache") if filename is not None else None def decorator_function(func): cache = {} _cache_info = { "hits": 0, "misses": 0, "maxsize": maxsize, "currsize": 0, "ttl": ttl, "filename": cache_path, } @functools.wraps(func) def wrapper_function(*args, **kwargs): key = str((args, frozenset(kwargs))) if key in cache: if _cache_info["ttl"] is None or (cache[key][1] + _cache_info["ttl"]) >= time.time(): _cache_info["hits"] += 1 print(f'Warning, reading cache, last read {(time.time()-cache[key][1])//60} minutes ago'); time.sleep(2) cache[key][1] = time.time() return cache[key][0] else: del cache[key] result = func(*args, **kwargs) cache[key] = [result, time.time()] _cache_info["misses"] += 1 _cache_info["currsize"] += 1 if _cache_info["currsize"] > _cache_info["maxsize"]: oldest_key = None for k in cache: if oldest_key is None: oldest_key = k elif cache[k][1] < cache[oldest_key][1]: oldest_key = k del cache[oldest_key] _cache_info["currsize"] -= 1 if cache_path is not None: with open(cache_path, "wb") as f: pickle.dump(cache, f) return result def cache_info(): return _cache_info wrapper_function.cache_info = cache_info if cache_path is not None and os.path.exists(cache_path): with open(cache_path, "rb") as f: cache = pickle.load(f) _cache_info["currsize"] = len(cache) return wrapper_function return decorator_function def contains_chinese(string): """ Returns True if the given string contains Chinese characters, False otherwise. """ chinese_regex = re.compile(u'[\u4e00-\u9fff]+') return chinese_regex.search(string) is not None def split_list(lst, n_each_req): """ Split a list into smaller lists, each with a maximum number of elements. :param lst: the list to split :param n_each_req: the maximum number of elements in each sub-list :return: a list of sub-lists """ result = [] for i in range(0, len(lst), n_each_req): result.append(lst[i:i + n_each_req]) return result def map_to_json(map, language): dict_ = read_map_from_json(language) dict_.update(map) with open(f'docs/translate_{language.lower()}.json', 'w', encoding='utf8') as f: json.dump(dict_, f, indent=4, ensure_ascii=False) def read_map_from_json(language): if os.path.exists(f'docs/translate_{language.lower()}.json'): with open(f'docs/translate_{language.lower()}.json', 'r', encoding='utf8') as f: res = json.load(f) res = {k:v for k, v in res.items() if v is not None and contains_chinese(k)} return res return {} def advanced_split(splitted_string, spliter, include_spliter=False): splitted_string_tmp = [] for string_ in splitted_string: if spliter in string_: splitted = string_.split(spliter) for i, s in enumerate(splitted): if include_spliter: if i != len(splitted)-1: splitted[i] += spliter splitted[i] = splitted[i].strip() for i in reversed(range(len(splitted))): if not contains_chinese(splitted[i]): splitted.pop(i) splitted_string_tmp.extend(splitted) else: splitted_string_tmp.append(string_) splitted_string = splitted_string_tmp return splitted_string_tmp cached_translation = {} cached_translation = read_map_from_json(language=LANG) def trans(word_to_translate, language, special=False): if len(word_to_translate) == 0: return {} from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency from toolbox import get_conf, ChatBotWithCookies proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY = \ get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY') llm_kwargs = { 'api_key': API_KEY, 'llm_model': LLM_MODEL, 'top_p':1.0, 'max_length': None, 'temperature':0.4, } import random N_EACH_REQ = random.randint(16, 32) word_to_translate_split = split_list(word_to_translate, N_EACH_REQ) inputs_array = [str(s) for s in word_to_translate_split] inputs_show_user_array = inputs_array history_array = [[] for _ in inputs_array] if special: # to English using CamelCase Naming Convention sys_prompt_array = [f"Translate following names to English with CamelCase naming convention. Keep original format" for _ in inputs_array] else: sys_prompt_array = [f"Translate following sentences to {LANG}. E.g., You should translate sentences to the following format ['translation of sentence 1', 'translation of sentence 2']. Do NOT answer with Chinese!" for _ in inputs_array] chatbot = ChatBotWithCookies(llm_kwargs) gpt_say_generator = request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency( inputs_array, inputs_show_user_array, llm_kwargs, chatbot, history_array, sys_prompt_array, ) while True: try: gpt_say = next(gpt_say_generator) print(gpt_say[1][0][1]) except StopIteration as e: result = e.value break translated_result = {} for i, r in enumerate(result): if i%2 == 1: try: res_before_trans = eval(result[i-1]) res_after_trans = eval(result[i]) if len(res_before_trans) != len(res_after_trans): raise RuntimeError for a,b in zip(res_before_trans, res_after_trans): translated_result[a] = b except: # try: # res_before_trans = word_to_translate_split[(i-1)//2] # res_after_trans = [s for s in result[i].split("', '")] # for a,b in zip(res_before_trans, res_after_trans): # translated_result[a] = b # except: print('GPT输出格式错误，稍后可能需要再试一次') res_before_trans = eval(result[i-1]) for a in res_before_trans: translated_result[a] = None return translated_result def trans_json(word_to_translate, language, special=False): if len(word_to_translate) == 0: return {} from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency from toolbox import get_conf, ChatBotWithCookies proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY = \ get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY') llm_kwargs = { 'api_key': API_KEY, 'llm_model': LLM_MODEL, 'top_p':1.0, 'max_length': None, 'temperature':0.1, } import random N_EACH_REQ = random.randint(16, 32) random.shuffle(word_to_translate) word_to_translate_split = split_list(word_to_translate, N_EACH_REQ) inputs_array = [{k:"#" for k in s} for s in word_to_translate_split] inputs_array = [ json.dumps(i, ensure_ascii=False) for i in inputs_array] inputs_show_user_array = inputs_array history_array = [[] for _ in inputs_array] sys_prompt_array = [TransPrompt for _ in inputs_array] chatbot = ChatBotWithCookies(llm_kwargs) gpt_say_generator = request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency( inputs_array, inputs_show_user_array, llm_kwargs, chatbot, history_array, sys_prompt_array, ) while True: try: gpt_say = next(gpt_say_generator) print(gpt_say[1][0][1]) except StopIteration as e: result = e.value break translated_result = {} for i, r in enumerate(result): if i%2 == 1: try: translated_result.update(json.loads(result[i])) except: print(result[i]) print(result) return translated_result def step_1_core_key_translate(): def extract_chinese_characters(file_path): syntax = [] with open(file_path, 'r', encoding='utf-8') as f: content = f.read() import ast root = ast.parse(content) for node in ast.walk(root): if isinstance(node, ast.Name): if contains_chinese(node.id): syntax.append(node.id) if isinstance(node, ast.Import): for n in node.names: if contains_chinese(n.name): syntax.append(n.name) elif isinstance(node, ast.ImportFrom): for n in node.names: if contains_chinese(n.name): syntax.append(n.name) for k in node.module.split('.'): if contains_chinese(k): syntax.append(k) return syntax def extract_chinese_characters_from_directory(directory_path): chinese_characters = [] for root, dirs, files in os.walk(directory_path): if any([b in root for b in blacklist]): continue for file in files: if file.endswith('.py'): file_path = os.path.join(root, file) chinese_characters.extend(extract_chinese_characters(file_path)) return chinese_characters directory_path = './' chinese_core_names = extract_chinese_characters_from_directory(directory_path) chinese_core_keys = [name for name in chinese_core_names] chinese_core_keys_norepeat = [] for d in chinese_core_keys: if d not in chinese_core_keys_norepeat: chinese_core_keys_norepeat.append(d) need_translate = [] cached_translation = read_map_from_json(language=LANG) cached_translation_keys = list(cached_translation.keys()) for d in chinese_core_keys_norepeat: if d not in cached_translation_keys: need_translate.append(d) need_translate_mapping = trans(need_translate, language=LANG, special=True) map_to_json(need_translate_mapping, language=LANG) cached_translation = read_map_from_json(language=LANG) cached_translation = dict(sorted(cached_translation.items(), key=lambda x: -len(x[0]))) chinese_core_keys_norepeat_mapping = {} for k in chinese_core_keys_norepeat: chinese_core_keys_norepeat_mapping.update({k:cached_translation[k]}) chinese_core_keys_norepeat_mapping = dict(sorted(chinese_core_keys_norepeat_mapping.items(), key=lambda x: -len(x[0]))) # =============================================== # copy # =============================================== def copy_source_code(): from toolbox import get_conf import shutil import os try: shutil.rmtree(f'./multi-language/{LANG}/') except: pass os.makedirs(f'./multi-language', exist_ok=True) backup_dir = f'./multi-language/{LANG}/' shutil.copytree('./', backup_dir, ignore=lambda x, y: blacklist) copy_source_code() # =============================================== # primary key replace # =============================================== directory_path = f'./multi-language/{LANG}/' for root, dirs, files in os.walk(directory_path): for file in files: if file.endswith('.py'): file_path = os.path.join(root, file) syntax = [] # read again with open(file_path, 'r', encoding='utf-8') as f: content = f.read() for k, v in chinese_core_keys_norepeat_mapping.items(): content = content.replace(k, v) with open(file_path, 'w', encoding='utf-8') as f: f.write(content) def step_2_core_key_translate(): # ================================================================================================= # step2 # ================================================================================================= def load_string(strings, string_input): string_ = string_input.strip().strip(',').strip().strip('.').strip() if string_.startswith('[Local Message]'): string_ = string_.replace('[Local Message]', '') string_ = string_.strip().strip(',').strip().strip('.').strip() splitted_string = [string_] # -------------------------------------- splitted_string = advanced_split(splitted_string, spliter="，", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="。", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="）", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="（", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="(", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter=")", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="<", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter=">", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="[", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="]", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="【", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="】", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="？", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="：", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter=":", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter=",", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="#", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="\n", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter=";", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="`", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter=" ", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="- ", include_spliter=False) splitted_string = advanced_split(splitted_string, spliter="---", include_spliter=False) # -------------------------------------- for j, s in enumerate(splitted_string): # .com if '.com' in s: continue if '\'' in s: continue if '\"' in s: continue strings.append([s,0]) def get_strings(node): strings = [] # recursively traverse the AST for child in ast.iter_child_nodes(node): node = child if isinstance(child, ast.Str): if contains_chinese(child.s): load_string(strings=strings, string_input=child.s) elif isinstance(child, ast.AST): strings.extend(get_strings(child)) return strings string_literals = [] directory_path = f'./multi-language/{LANG}/' for root, dirs, files in os.walk(directory_path): for file in files: if file.endswith('.py'): file_path = os.path.join(root, file) syntax = [] with open(file_path, 'r', encoding='utf-8') as f: content = f.read() # comments comments_arr = [] for code_sp in content.splitlines(): comments = re.findall(r'#.*$', code_sp) for comment in comments: load_string(strings=comments_arr, string_input=comment) string_literals.extend(comments_arr) # strings import ast tree = ast.parse(content) res = get_strings(tree, ) string_literals.extend(res) [print(s) for s in string_literals] chinese_literal_names = [] chinese_literal_names_norepeat = [] for string, offset in string_literals: chinese_literal_names.append(string) chinese_literal_names_norepeat = [] for d in chinese_literal_names: if d not in chinese_literal_names_norepeat: chinese_literal_names_norepeat.append(d) need_translate = [] cached_translation = read_map_from_json(language=LANG) cached_translation_keys = list(cached_translation.keys()) for d in chinese_literal_names_norepeat: if d not in cached_translation_keys: need_translate.append(d) up = trans_json(need_translate, language=LANG, special=False) map_to_json(up, language=LANG) cached_translation = read_map_from_json(language=LANG) cached_translation = dict(sorted(cached_translation.items(), key=lambda x: -len(x[0]))) # =============================================== # literal key replace # =============================================== directory_path = f'./multi-language/{LANG}/' for root, dirs, files in os.walk(directory_path): for file in files: if file.endswith('.py'): file_path = os.path.join(root, file) syntax = [] # read again with open(file_path, 'r', encoding='utf-8') as f: content = f.read() for k, v in cached_translation.items(): if v is None: continue if '"' in v: v = v.replace('"', "`") if '\'' in v: v = v.replace('\'', "`") content = content.replace(k, v) with open(file_path, 'w', encoding='utf-8') as f: f.write(content) if file.strip('.py') in cached_translation: file_new = cached_translation[file.strip('.py')] + '.py' file_path_new = os.path.join(root, file_new) with open(file_path_new, 'w', encoding='utf-8') as f: f.write(content) os.remove(file_path) step_1_core_key_translate() step_2_core_key_translate()