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-rw-r--r--wqflask/utility/elasticsearch_tools.py58
1 files changed, 58 insertions, 0 deletions
diff --git a/wqflask/utility/elasticsearch_tools.py b/wqflask/utility/elasticsearch_tools.py
new file mode 100644
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+++ b/wqflask/utility/elasticsearch_tools.py
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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 test_elasticsearch_connection():
+ es = Elasticsearch(['http://'+ELASTICSEARCH_HOST+":"+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
+
+ es_logger = logging.getLogger("elasticsearch")
+ es_logger.setLevel(logging.INFO)
+ es_logger.addHandler(logging.NullHandler())
+ except:
+ logger.error("Failed to get elasticsearch connection")
+ 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