How to use the elasticsearch5.Elasticsearch function in elasticsearch5

ELASTICSEARCH_URL = os.environ['ELASTICSEARCH_URL']

POSTGRES_PASSWORD = os.environ['POSTGRES_PASSWORD']

app = flask.Flask(__name__)
cors = CORS(app, resources={
    r"/validate_token": {"origins": CLIENT_URL},
    r"/search": {"origins": CLIENT_URL}
})

app.config['SQLALCHEMY_DATABASE_URI'] = \
    'postgresql://postgres:{}@db'.format(POSTGRES_PASSWORD)
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True
db = SQLAlchemy(app)

es = Elasticsearch([ELASTICSEARCH_URL])


class User(db.Model):
    __tablename__ = 'users'
    id = db.Column(db.Integer, primary_key=True)
    token = db.Column(db.String(512), index=True)
    secret = db.Column(db.String(36), unique=True)

    def to_dict(self):
        return dict(
            id=self.id,
            token=self.token,
            secret=self.secret
        )

    def __init__(self, token, secret):

/$$$$$$$ /$$$$$$    /$$$$$$   /$$$$$$$| $$   /$$  /$$$$$$$ /$$  /$$$$$$ | $$$$$$$  /$$$$$$  
 /$$_____/|_  $$_/   /$$__  $$ /$$_____/| $$  /$$/ /$$_____/| $$ /$$__  $$| $$__  $$|_  $$_/  
|  $$$$$$   | $$    | $$  \ $$| $$      | $$$$$$/ |  $$$$$$ | $$| $$  \ $$| $$  \ $$  | $$    
 \____  $$  | $$ /$$| $$  | $$| $$      | $$_  $$  \____  $$| $$| $$  | $$| $$  | $$  | $$ /$$
 /$$$$$$$/  |  $$$$/|  $$$$$$/|  $$$$$$$| $$ \  $$ /$$$$$$$/| $$|  $$$$$$$| $$  | $$  |  $$$$/
|_______/    \___/   \______/  \_______/|__/  \__/|_______/ |__/ \____  $$|__/  |__/   \___/  
                                                                 /$$  \ $$                    
                       :) = +$   :( = -$                        |  $$$$$$/                    
                                                                 \______/  v%s
    Join the StockSight website https://stocksight.diskoverspace.com
        \033[0m""" % (color, STOCKSIGHT_VERSION)
        print(banner + '\n')

    if not args.noelasticsearch:
        # create instance of elasticsearch
        es = Elasticsearch(hosts=[{'host': elasticsearch_host, 'port': elasticsearch_port}],
                   http_auth=(elasticsearch_user, elasticsearch_password))

        # set up elasticsearch mappings and create index
        mappings = {
            "mappings": {
                "tweet": {
                    "properties": {
                        "author": {
                            "type": "string",
                            "fields": {
                                "keyword": {
                                    "type": "keyword"
                                }
                            }
                        },
                        "location": {

import os
import time
from datetime import datetime

import click
from logzero import logger
from slackclient import SlackClient
from elasticsearch5 import Elasticsearch, helpers

from utils import convert_message
from config import INDEX_NAME, TYPE_NAME

ELASTICSEARCH_URL = os.environ['ELASTICSEARCH_URL']
es = Elasticsearch([ELASTICSEARCH_URL])

slack_token = os.environ["SLACK_API_TOKEN"]
sc = SlackClient(slack_token)


@click.group()
def cmd():
    pass


def fetch_message(es, channel, timestamp):
    body = {
        "query": {
            "bool": {
                "must": [
                    {

import os
import json
from pathlib import Path

import click
from elasticsearch5 import Elasticsearch, helpers

from utils import convert_message
from config import INDEX_NAME, TYPE_NAME

ELASTICSEARCH_URL = os.environ['ELASTICSEARCH_URL']
es = Elasticsearch([ELASTICSEARCH_URL])


@click.group()
def cmd():
    pass


def parse_file(fname, channel):
    results = []
    for data in json.load(fname.open()):
        data = convert_message(data)
        if data is None:
            continue

        data['channel'] = channel
        results.append(data)

def __init__(self):
        self.es = Elasticsearch(ElasticConfig.uri)
        self._multi_search_results = []
        self.bulk_task_queue = []
        self.bulk_last_time = datetime_now_obj()

def create_es_client(es_host=None, es_user=None, es_pass=None):
    """Creates a new Elasticsearch client

    Args:
        es_host (str): The Elasticsearch host server
        es_user (str): The Elasticsearch username for http auth
        es_pass (str): The Elasticsearch password for http auth
    """
    es_host = es_host or os.environ.get("MM_ES_HOST")
    es_user = es_user or os.environ.get("MM_ES_USERNAME")
    es_pass = es_pass or os.environ.get("MM_ES_PASSWORD")

    try:
        http_auth = (es_user, es_pass) if es_user and es_pass else None
        es_client = Elasticsearch(es_host, http_auth=http_auth)
        return es_client
    except ElasticsearchException:
        raise KnowledgeBaseError
    except ImproperlyConfigured:
        raise KnowledgeBaseError

from elasticsearch5 import Elasticsearch
except ImportError:
    from elasticsearch import Elasticsearch
from random import randint

# import elasticsearch host
from config import elasticsearch_host, elasticsearch_port, elasticsearch_user, elasticsearch_password

from sentiment import STOCKSIGHT_VERSION
__version__ = STOCKSIGHT_VERSION

# url to fetch stock price from, SYMBOL will be replaced with symbol from cli args
url = "https://query1.finance.yahoo.com/v8/finance/chart/SYMBOL?region=US&lang=en-US&includePrePost=false&interval=2m&range=5d&corsDomain=finance.yahoo.com&.tsrc=finance"

# create instance of elasticsearch
es = Elasticsearch(hosts=[{'host': elasticsearch_host, 'port': elasticsearch_port}],
                   http_auth=(elasticsearch_user, elasticsearch_password))

class GetStock:

    def get_price(self, url, symbol):
        import re

        while True:

            logger.info("Grabbing stock data for symbol %s..." % symbol)

            try:

                # add stock symbol to url
                url = re.sub("SYMBOL", symbol, url)
                # get stock data (json) from url