from elasticsearch import Elasticsearch, TransportError
import logging

from utility.logger import getLogger
logger = getLogger(__name__)

from utility.tools import ELASTICSEARCH_HOST, ELASTICSEARCH_PORT

def test_elasticsearch_connection():
    es = Elasticsearch(['http://'+ELASTICSEARCH_HOST+":"+str(ELASTICSEARCH_PORT)+'/'], verify_certs=True)
    if not es.ping():
        logger.warning("Elasticsearch is DOWN")

def get_elasticsearch_connection():
    """Return a connection to ES. Returns None on failure"""
    logger.info("get_elasticsearch_connection")
    es = None
    try:
        assert(ELASTICSEARCH_HOST)
        assert(ELASTICSEARCH_PORT)
        logger.info("ES HOST",ELASTICSEARCH_HOST)

        es = Elasticsearch([{
            "host": ELASTICSEARCH_HOST, "port": ELASTICSEARCH_PORT
        }]) if (ELASTICSEARCH_HOST and ELASTICSEARCH_PORT) else None

        setup_users_index(es)

        es_logger = logging.getLogger("elasticsearch")
        es_logger.setLevel(logging.INFO)
        es_logger.addHandler(logging.NullHandler())
    except Exception as e:
        logger.error("Failed to get elasticsearch connection", e)
        es = None

    return es

def setup_users_index(es_connection):
    if es_connection:
        index_settings = {
            "properties": {
                "email_address": {
                    "type": "keyword"}}}

        es_connection.indices.create(index='users', ignore=400)
        es_connection.indices.close(index="users")
        es_connection.indices.put_mapping(body=index_settings, index="users", doc_type="local")
        es_connection.indices.open(index="users")

def get_user_by_unique_column(es, column_name, column_value, index="users", doc_type="local"):
    return get_item_by_unique_column(es, column_name, column_value, index=index, doc_type=doc_type)

def save_user(es, user, user_id):
    es_save_data(es, "users", "local", user, user_id)

def get_item_by_unique_column(es, column_name, column_value, index, doc_type):
    item_details = None
    try:
        response = es.search(
            index = index, doc_type = doc_type, body = {
                "query": { "match": { column_name: column_value } }
            })
        if len(response["hits"]["hits"]) > 0:
            item_details = response["hits"]["hits"][0]["_source"]
    except TransportError as te:
        pass
    return item_details

def es_save_data(es, index, doc_type, data_item, data_id,):
    from time import sleep
    es.create(index, doc_type, body=data_item, id=data_id)
    sleep(1) # Delay 1 second to allow indexing