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-rw-r--r--wqflask/utility/elasticsearch_tools.py21
1 files changed, 15 insertions, 6 deletions
diff --git a/wqflask/utility/elasticsearch_tools.py b/wqflask/utility/elasticsearch_tools.py
index 15cdd0bc..eae3ba03 100644
--- a/wqflask/utility/elasticsearch_tools.py
+++ b/wqflask/utility/elasticsearch_tools.py
@@ -47,11 +47,14 @@ 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)
+ es = Elasticsearch(['http://' + ELASTICSEARCH_HOST + \
+ ":" + str(ELASTICSEARCH_PORT) + '/'], verify_certs=True)
if not es.ping():
logger.warning("Elasticsearch is DOWN")
+
def get_elasticsearch_connection(for_user=True):
"""Return a connection to ES. Returns None on failure"""
logger.info("get_elasticsearch_connection")
@@ -59,7 +62,7 @@ def get_elasticsearch_connection(for_user=True):
try:
assert(ELASTICSEARCH_HOST)
assert(ELASTICSEARCH_PORT)
- logger.info("ES HOST",ELASTICSEARCH_HOST)
+ logger.info("ES HOST", ELASTICSEARCH_HOST)
es = Elasticsearch([{
"host": ELASTICSEARCH_HOST, "port": ELASTICSEARCH_PORT
@@ -77,6 +80,7 @@ def get_elasticsearch_connection(for_user=True):
return es
+
def setup_users_index(es_connection):
if es_connection:
index_settings = {
@@ -85,20 +89,24 @@ def setup_users_index(es_connection):
"type": "keyword"}}}
es_connection.indices.create(index='users', ignore=400)
- es_connection.indices.put_mapping(body=index_settings, index="users", doc_type="local")
+ es_connection.indices.put_mapping(
+ body=index_settings, index="users", doc_type="local")
+
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 } }
+ 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"]
@@ -106,7 +114,8 @@ def get_item_by_unique_column(es, column_name, column_value, index, doc_type):
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
+ sleep(1) # Delay 1 second to allow indexing