def __init__(self, log_database, log_collection, execution_id):
self.execution_id = execution_id
self.log_db_writer = App_LoggerDB(execution_id=execution_id)
self.log_database = log_database
self.log_collection = log_collection
self.az_blob_mgt = AzureBlobManagement()
self.mongoDB = MongoDBOperation()
self.clf = RandomForestClassifier()
self.xgb = XGBClassifier(objective='binary:logistic')
def __init__(self, path, execution_id):
self.Batch_Directory = path
self.exexcution_id = execution_id
#self.schema_path = 'schema_training.json'
self.collection_name = "schema_training" #code added by Avnish yadav
self.database_name = "wafer_sys" #code added by Avnish yadav
#self.logger = App_Logger()
self.logger_db_writer = App_LoggerDB(
execution_id=execution_id) #code added by Avnish yadav
self.mongdb = MongoDBOperation()
self.az_blob_mgt = AzureBlobManagement()
self.good_directory_path = "good-raw-file-train-validated"
self.bad_directory_path = "bad-raw-file-train-validated"
def __init__(self, execution_id):
self.mongodb = MongoDBOperation()
self.az_blob_mgt = AzureBlobManagement()
self.logger_db_writer = App_LoggerDB(execution_id=execution_id)
self.good_file_path = "good-raw-file-prediction-validated"
self.bad_file_path = "bad-raw-file-prediction-validated"
def __init__(self, execution_id):
self.mongoDBObject = MongoDBOperation()
self.azureBlobObject = AzureBlobManagement()
self.execution_id = execution_id