def __create_folders(self):
datasetAlreadyExists = True
# initialize dataset folders
if not os.path.isdir(FileManager.datasets['training']['url']):
datasetAlreadyExists = False
os.mkdir(FileManager.datasets['training']['url'])
if not os.path.isdir(FileManager.datasets['testing']['url']):
datasetAlreadyExists = False
os.mkdir(FileManager.datasets['testing']['url'])
# initialize output folders
if not os.path.isdir(FileManager.getFeaturesFolderUrl()):
os.mkdir(FileManager.getFeaturesFolderUrl())
if not os.path.isdir(FileManager.getModelsFolderUrl()):
os.mkdir(FileManager.getModelsFolderUrl())
if not os.path.isdir(FileManager.getVocabularyFolderUrl()):
os.mkdir(FileManager.getVocabularyFolderUrl())
if not os.path.isdir(FileManager.getReportsFolderUrl()):
os.mkdir(FileManager.getReportsFolderUrl())
return datasetAlreadyExists
def updateConfigFile(self, args):
if self._argsAreValidForUpdate(args):
try:
jfw = JsonFileWrapper(self._getConfigFilePath(args.name))
actualChapter = jfw.getKey(JsonFileWrapper.CHAPTER)
if actualChapter is not None:
self._logger.info("class Main : update config for {}, set chapter from {} to {}".format(args.name, actualChapter, args.chapter))
jfw.update(JsonFileWrapper.CHAPTER, str(args.chapter))
jfw.save()
self._logger.info("class Main :cleaning donwload directory")
FileManager.getFileManager().cleanMangaDirectory(jfw.getKey(JsonFileWrapper.NAME), jfw.getKey(JsonFileWrapper.CHAPTER))
else:
self._logger.error("class Main : can not set chapter {} for manga {} : actual chapter is {}"\
.format(args.chapter, args.name, actualChapter))
except IOError as e:
self._logger.error("class Main : ioerror {}".format(e))
def recognize_pooling_srv():
# 導入設定
cfg = ConfigObj(os.path.join(os.path.dirname(os.path.abspath(__file__)), 'offline_stt_api_config.ini'))
model_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), cfg['stt']['model_path'])
wav_storage_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), cfg['upload']['wav_storage_path'])
wav_path_after_stt = os.path.join(os.path.dirname(os.path.abspath(__file__)), cfg['stt']['wav_path_after_stt'])
metadata_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), cfg['upload']['metadata_path'])
op_log_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), cfg['log']['log_storage_path'])
stt_result_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), cfg['stt']['stt_res_storage_path'])
# 初始化物件
rec = Recognizer(Model(model_path))
# 開始主程式囉
while True:
# 掃檔、逐一辨識、辨識完搬檔
wav_list = fm.list_all_file_type_in_dir('\.wav$', wav_storage_path)
if len(wav_list) <= 0:
time.sleep(2)
continue
wav_list.sort(key=os.path.getctime)
for i in wav_list:
log_name = i.split('/', -1)[-1].rsplit('.', 1)[0]
i_metadata_path = f'{metadata_path}/{log_name}.json'
if not os.path.isfile(i_metadata_path):
print(f'[請檢查] metadata 檔案不存在，wav 路徑為 {i}，忽略此檔辨識')
continue
t_start = UtcTime.get_current_utc_time()
print(f'[開始辨識] 於 {t_start} 辨識 {i}')
sentence = rec.recognize_wav_from_path(i)
t_end = UtcTime.get_current_utc_time()
with open(i_metadata_path, 'r') as f:
metadata = json.load(f)
# 寫結果，metadata 部份塞進來
sentence.update(metadata)
# 寫結果，辨識結果部份
sentence['key'] = log_name
sentence['recog_start_time'] = t_start
sentence['recog_end_time'] = t_end
sentence['recog_time'] = t_end - t_start
sentence['time_zone'] = str(timezone.utc)
sentence['am_version'] = model_path.rsplit('/', 1)[-1]
sentence['lm_version'] = model_path.rsplit('/', 1)[-1]
sentence['hostname'] = 'stt_test'
with open(f'{stt_result_path}/{log_name}.json', 'w') as f:
f.write(json.dumps(sentence))
# print(sentence)
print(f'[辨識完成] {t_end} ：{sentence["text"]}，共花費 {t_end - t_start} 秒')
# 刪掉 metadata 檔案
os.remove(i_metadata_path)
# 辨識完的 wav 要搬家
os.rename(i, os.path.join(wav_path_after_stt, i.rsplit("/", 1)[-1]))
def load(self):
datasetAlreadyExists = self.__create_folders()
# clone file sources if dataset doesn't already exists
if not datasetAlreadyExists:
self.__cloneFilesSources()
if not os.path.exists(FileManager.getDatasetCopyFileUrl()):
# load dataset in memory
self.__loadInMemory()
# generate 'filtered' version
self.__filterSources()
# save dataset copy
datasetCopy: dict = {'training': self.Dataset.training, 'testing': self.Dataset.testing}
FileManager.writeFile(FileManager.getDatasetCopyFileUrl(), json.dumps(datasetCopy))
else:
datasetCopy = json.loads(FileManager.readFile(FileManager.getDatasetCopyFileUrl()))
self.Dataset.training = datasetCopy['training']
self.Dataset.testing = datasetCopy['testing']
return self
def PUT(self, request):
"""
Create path if needed and write data to it
"""
logging.debug("storage.put")
#request.showVariables()
response = {"headers": [], "status": "201 OK", "body": ""}
if not request.file_name:
response['status'] = http_code['304']
return response
replication = request.metadata.get("HTTP_REPLICATION", None)
if replication == "1":
logging.debug("REPLICATION")
fm = FileManager(self.data_path + "/" + request.file_name,\
request.file_name)
if not fm.write_file(request.body):
response['status'] = http_code['500']
response['body'] = "Could not replicate"
logging.debug("Could not replicate")
return response
client_id = request.metadata.get("HTTP_CLIENT_ID", "test:test")
logging.debug("HTTP_CLIENT_ID: %s" % client_id)
replicas_count = request.metadata.get("HTTP_REPLICAS_COUNT", 3)
fm = FileManager(self.data_path + "/" + request.file_name\
, request.file_name)
if not fm.write_file(request.body):
response['status'] = http_code['500']
logging.debug("Starting to save data in disk")
storage_replicas = make_tuple(request.metadata["HTTP_STORAGE_LIST"])
for replica in storage_replicas:
if replica[0] == self.port_ip[0] and\
replica[1] == self.port_ip[1]:
continue
headers = {}
headers['file_name'] = request.file_name
headers['data_length'] = request.content_length
headers['etag'] = request.file_name
headers['replicas_count'] = replicas_count
headers['client_id'] = "%s:%s" % (request.remote_addr,
request.remote_port)
headers["replication"] = "1"
response = self._put_request(request.file_name,
replica,
data=request.body,
headers=headers)
logging.debug("response: %s" % response)
if not "201" in response["status"]:
response['status'] = http_code['500']
response['body'] = "Could reach proper number of replicas"
return response
logging.debug("Starting to send metadata confirmation for proxy")
proxy_list = make_tuple(request.metadata["HTTP_PROXY_LIST"])
logging.debug(proxy_list)
for proxy in proxy_list:
logging.debug(proxy)
headers = {}
headers['data_length'] = request.content_length
headers['etag'] = request.file_name
headers['replicas_count'] = 3
headers['client_id'] = client_id
response = self._post_request(request.file_name, proxy,
headers=headers)
logging.debug("response: %s" % response)
if "201" in response["status"]:
break
return response
def importKerasTrainedModel(self):
self.model = load_model(FileManager.getTrainedModelFileUrl(self.type))
return self
def exportVocabulary(self, indexes):
FileManager.writeFile(FileManager.getVocabularyFileUrl(self.type), json.dumps(indexes))
return self
def importVocabulary(self):
return json.loads(FileManager.readFile(FileManager.getVocabularyFileUrl(self.type)))
import json
import os
import sys
from tencent_cos import TencentCOSBucket
from aliyun_oss import AliyunOSSBucket
from utils import FileManager, OSSSynchronizer
if __name__ == '__main__':
with open('config/keybrl-mines.json', 'rt', encoding='utf-8') as fp:
cos = TencentCOSBucket(json.load(fp))
local_file = FileManager('../dist')
OSSSynchronizer(local_file, cos).sync_from_local_to_oss()
def main() -> None:
"""主函数
"""
# 解析命令行参数
args = parser_args()
# 开启调试模式
if args.debug:
logger.addHandler(debug_console_handler)
logger.setLevel(logging.DEBUG)
logger.debug('DEBUG 模式已开启')
else:
logger.addHandler(normal_console_handler)
logger.setLevel(logging.INFO)
logger.debug('DEBUG 模式关闭')
main_config_path = args.config or default_main_config_path
config_encoding = args.config_encoding or default_config_encoding
# 加载主配置文件
config = load_configs(config_path=main_config_path,
validator=main_config_validator,
encoding=config_encoding)
if config is None:
logger.error(f'加载主配置文件 "{main_config_path}" 失败。')
exit(1)
for config_item in config:
oss_type = config_item['oss_type']
oss_config_path = config_item['oss_config']
local_dir = config_item['local_dir']
direction = config_item['direction']
# 加载 OSS 配置文件
oss_config = load_configs(config_path=oss_config_path,
validator=None,
encoding=config_encoding)
if oss_config is None:
logger.error(f'加载 OSS 配置文件 "{oss_config_path}" 失败。')
exit(1)
if oss_type == 'tencent-cos':
bucket = QcloudCosBucket(oss_config)
else:
bucket = AliyunOssBucket(oss_config)
file_manager = FileManager(local_dir)
oss_synchronizer = OSSSynchronizer(file_manager, bucket)
if direction == 'local-to-remote':
logger.info(
f'开始同步 {local_dir}（本地）-> {oss_config.get("bucket", "Unknown Bucket")}（OSS）'
)
oss_synchronizer.sync_from_local_to_oss()
else:
logger.info(
f'开始同步 {oss_config.get("bucket", "Unknown Bucket")}（OSS） -> {local_dir}（本地）'
)
oss_synchronizer.sync_from_oss_to_local()
def __cloneFilesSources(self):
SOURCE_URL = FileManager.datasets['source']['url']
TRAINING_URL = FileManager.datasets['training']['url']
TESTING_URL = FileManager.datasets['testing']['url']
# foreach directory in '/Lang' folder ...
languagesExamplesCounter = {}
for languageFolder in [f for f in os.scandir(SOURCE_URL) if f.is_dir()]:
language = str(languageFolder.name).lower()
languagesExamplesCounter[language] = 0
# parse only selected languages
if language in ConfigurationManager.getLanguages():
# preparing empty {languageFolder.name} for each dataset
if not (os.path.isdir(os.path.join(TRAINING_URL, language))):
os.mkdir(os.path.join(TRAINING_URL, language))
if not (os.path.isdir(os.path.join(TESTING_URL, language))):
os.mkdir(os.path.join(TESTING_URL, language))
# count example foreach language
for exampleFolder in FileManager.getExamplesFolders(languageFolder.path):
for _ in FileManager.getExampleFiles(exampleFolder.path):
languagesExamplesCounter[language] += 1
# print languages with examples counter less than {TRAINING_EXAMPLES_NUMBER}
if languagesExamplesCounter[language] < TRAINING_EXAMPLES_NUMBER:
print(' > [dataset] the total number of examples for the '
+ language + ' is less than ' + str(TRAINING_EXAMPLES_NUMBER))
continue
# for this language, the total examples number could be less than {TRAINING_EXAMPLES_NUMBER}
indexesOfTrainingExamples = random.sample(
range(1, languagesExamplesCounter[language]),
TRAINING_EXAMPLES_NUMBER
)
# list all examples in {languageFolder.name} folder
exampleIndex = 0
for exampleFolder in FileManager.getExamplesFolders(languageFolder.path):
# list all examples versions in {exampleFolder.name} folder
for exampleVersionFile in FileManager.getExampleFiles(exampleFolder.path):
exampleIndex += 1
# move file to right dataset
if exampleIndex in indexesOfTrainingExamples:
DATASET_TYPE = TRAINING_URL
else:
DATASET_TYPE = TESTING_URL
# prepare destination folder
example = str(exampleVersionFile.name).lower()
exampleFolderUri = os.path.join(DATASET_TYPE, language, example)
os.mkdir(exampleFolderUri)
# copy the ORIGINAL source file content
originalFileUri = FileManager.getOriginalFileUrl(exampleFolderUri)
FileManager.createFile(originalFileUri)
shutil.copyfile(exampleVersionFile.path, originalFileUri)
# create the 'PARSED' version of the orginal file
parsedFileUri = FileManager.getParsedFileUrl(exampleFolderUri)
FileManager.createFile(parsedFileUri)
parser = Parser()
parser.initialize(originalFileUri, parsedFileUri)
parser.parse()
return self
def __loadInMemory(self):
TRAINING_URL = FileManager.datasets['training']['url']
TESTING_URL = FileManager.datasets['testing']['url']
# training
for languageFolder in FileManager.getLanguagesFolders(TRAINING_URL):
language = str(languageFolder.name).lower()
self.Dataset.addLanguage('training', language)
# example
for exampleFolder in FileManager.getExamplesFolders(languageFolder.path):
exampleDict: dict = {}
# original file
originalFileUri = FileManager.getOriginalFileUrl(exampleFolder.path)
originalFileContent = FileManager.readFile(originalFileUri)
exampleDict['original'] = originalFileContent
# parsed file
parsedFileUri = FileManager.getParsedFileUrl(exampleFolder.path)
parsedFileContent = FileManager.readFile(parsedFileUri)
exampleDict['parsed'] = parsedFileContent
# save
self.Dataset.addExample('training', language, exampleDict)
# testing
for languageFolder in FileManager.getLanguagesFolders(TESTING_URL):
language = str(languageFolder.name).lower()
self.Dataset.addLanguage('testing', language)
# example
for exampleFolder in FileManager.getExamplesFolders(languageFolder.path):
exampleDict: dict = {}
# original file
originalFileUri = FileManager.getOriginalFileUrl(exampleFolder.path)
originalFileContent = FileManager.readFile(originalFileUri)
exampleDict['original'] = originalFileContent
# parsed file
parsedFileUri = FileManager.getParsedFileUrl(exampleFolder.path)
parsedFileContent = FileManager.readFile(parsedFileUri)
exampleDict['parsed'] = parsedFileContent
# save
self.Dataset.addExample('testing', language, exampleDict)
return self
def PUT(self, request):
logging.debug("proxy.put")
proxy_nodes = []
storage_nodes = []
self.get_nodes(proxy_nodes, storage_nodes)
print("storage_node: %s" % storage_nodes)
print("proxy_node: %s" % proxy_nodes)
#request.showVariables()
print("Am I leader? %s" % self.group.is_leader)
response = {"headers": [], "status": "200 OK", "body": ""}
replication = request.metadata.get("HTTP_REPLICATION", None)
if replication == "1":
logging.debug("REPLICATION")
fm = FileManager(self.data_path + "/" + request.file_name,\
request.file_name)
if not fm.write_file(request.body):
response['status'] = http_code['500']
response['body'] = "Could not replicate"
logging.debug("Could not replicate")
return response
if len(proxy_nodes) < 3:
response['status'] = http_code['304']
response['body'] = "Deny of service due server is down"
print("Deny of service due server is down")
logging.debug("Deny of service due server is down")
return response
if not self.group.is_leader:
response['status'] = http_code['304']
response['body'] = "No leader. Try to find the leader"
logging.debug("I'm no leader. Try to find the leader")
return response
if not request.file_name:
response['status'] = http_code['400']
response['body'] = "No valid file name found"
logging.debug("No valid file name found")
return response
client_id = request.metadata.get("HTTP_CLIENT_ID", "test:test")
#logging.debug("HTTP_CLIENT_ID: %s" % client_id)
metadata = MetadataManager(self.data_path + "/" + request.file_name,
request.file_name)
file_exist = metadata.restore()
if len(metadata.lock_list) > 0:
response['status'] = http_code['403']
response['body'] = "File is locked"
logging.debug("file is locked")
return response
metadata.size = request.metadata["HTTP_DATA_LENGTH"]
metadata.etag = request.metadata["HTTP_ETAG"]
# Create File in any nodes
if not file_exist:
write_balancer = WriteLoadBalancer(self.data_path, storage_nodes)
balanced_storage_list = write_balancer.balance()
if balanced_storage_list:
storage_list = balanced_storage_list
else:
storage_list = storage_nodes
logging.debug("storage_list: %s" % storage_list)
replicas_count = request.metadata.get("HTTP_REPLICAS_COUNT", 3)
replica_list = storage_list[:int(replicas_count)]
logging.debug("replicas_list: %s" % replica_list)
metadata.storage_list = replica_list
metadata.replicas_count = replicas_count
# Update File in the same nodes
else:
replica_list = metadata.storage_list
available_replicas = []
for replica in metadata.storage_list:
for node in storage_nodes:
if replica[0] == node[0] and replica[1] == node[1]:
available_replicas.append((replica[0], replica[1]))
if len(available_replicas) != len(metadata.storage_list):
response['status'] = http_code['304']
response['body'] = "Deny of service due server is down"
print("Deny of service due server is down")
logging.debug("Deny of service due server is down")
return response
#if len(replica_list) < 3:
#response['status'] = http_code['304']
#response['body'] = "Deny of service due server is down"
#return response
#fl = FileLock(self.data_path + "/" + request.file_name)
#while True:
#if not fl.is_locked():
#break
#else:
#logging.debug("file is locked. Someone is updating")
#time.sleep(1)
#response['status'] = http_code['403']
#response['body'] = "File is locked. Someone is updating."
#return response
# Cuts off not needed replicas
metadata.add_lock_item(client_id, "LOCK_WRITE")
metadata.save()
#fl.lock()
body = {}
body["STORAGE_LIST"] = replica_list
response['body'] = json.dumps(body)
response['status'] = http_code['201']
logging.debug("response: %s" % response)
return response
