Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update elastic_logger to be compatible with latest pandas #61

Merged
merged 1 commit into from
Sep 12, 2019
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions nupic/research/support/elastic_logger.py
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@
from elasticsearch.client.xpack import SqlClient
from elasticsearch.helpers import BulkIndexError
from pandas import DataFrame
from pandas.io.json.normalize import nested_to_record
from pandas.io.json import json_normalize
from ray.tune.logger import Logger


Expand Down Expand Up @@ -178,7 +178,7 @@ def elastic_dsl(client, dsl, index, **kwargs):
data = []
for row in response:
# Normalize nested dicts in '_source' such as 'config' or 'git'
source = nested_to_record(row["_source"]) if "_source" in row else {}
source = json_normalize(row["_source"]) if "_source" in row else {}

# Squeeze scalar fields returned as arrays in the response by the search API
fields = row.get("fields", {})
Expand Down