Untitled

import os
import numpy as np
from sqlalchemy import create_engine
from urllib.parse import quote


############
## Config ##
############


class ParamConfig:
    global path_main

    path_main       = '//IPE//ML//'    

    def __init__(self,prediction,subject,Forcasting):
        
        #global path_main
        #Pandas config
        self.file_delimiter      = "|"
        self.encoding            = "ISO-8859-1"
        self.error_bad_lines     = False
        self.engine              = ""
        self.tenant_id           = "DEMO"

        self.data_path           =path_main + '//Data//'
        self.data_file_name      = 'sourcing_qa.csv'
        self.context_data            = 'df_act_context.joblib'
        self.engine_train_data = create_engine('postgresql://ml_user:%s@10.32.77.4:5432/tap'%quote('asdfghjkloip'),encoding="utf-8")
	#self.engine_train_data =  create_engine('postgresql://ml_user:Go@*1961##36@10.72.209.36:5432/tap',encoding="utf-8")
        
        self.system_path        =path_main
        self.archive_path       =path_main + '//Archive//'
        self.tenant_path        =path_main + 'Axys//'
        self.global_vector_name = 'glove.50d.txt'


        #pickle Folder path
        self.model_folder_name  =path_main + '//Model//'
        self.model_tfidf     = "tfidf.joblib"
        self.model_tf_count      = "tf_count.joblib"
        self.model_tfidf_vector      = "tfidf_vector.joblib"
        self.model_tf_count_vector      = "tf_countvector.joblib"
        
        #self.daily_tfidf_vector = "Daily_tfidf.joblib"
        #self.daily_tf_count_vector = "Daily_tf_count.joblib"
        self.raw_data = "raw_data.joblib"
        
        self.req_cols = ['event_id','event_type','event_start_date','event_status','event_title']
        self.daily_req_cols = ['event_id','event_type','event_start_date','event_status','event_title','clean_text_event_title']
        
        self.target_column = 'event_title'
        self.noun_column ='Noun'
        self.model_matching_data_train = 'unique_train_data_matrix.joblib'
        self.glove_vector_dict = 'glove_vector_dict.joblib'
        
        self.engine_ipe  = create_engine('postgresql://analytics_user:%s@10.32.77.218:5432/tap_ods'%quote('adgjkkjb'),encoding="utf-8")
        
    	#Threshold_config
        self.fuzzy_threshold = 75
        self.tf_threshold = 0.38
        self.max_reccom = 10
        
        
        
        
        ###########################
        
       




## initialize a param config
config = ParamConfig(prediction=True,subject='Event Sourcing',Forcasting="Event Sourcing")