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from elasticsearch import Elasticsearch, TransportError
import logging
from utility.logger import getLogger
logger = getLogger(__name__)
from utility.tools import ELASTICSEARCH_HOST, ELASTICSEARCH_PORT
def get_elasticsearch_connection():
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
es_logger = logging.getLogger("elasticsearch")
es_logger.setLevel(logging.INFO)
es_logger.addHandler(logging.NullHandler())
except:
es = None
return es
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
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