chore: flake8 fixups

Author: sylvanr

services/external_sources/dw.py

@@ -2,7 +2,6 @@
 import datetime
 import logging
 import re
-import pandas as pd
 import datadotworld as dw
 
 from services.external_sources.util import (EXTERNAL_DATASET_FORMAT,
@@ -36,7 +35,7 @@ def dw_index(delete=False):
     n_ds = 0
     n_success = 0
     for dataset in all_dataset.get('records'):
-        if dataset.get('license') not in ['Public Domain', 'CC0', 'CC-BY', 'CC-BY-SA', 'CC-BY-NC', 'CC-BY-NC-SA', 'CC-BY-NC-ND', 'CC-BY-ND']:
+        if dataset.get('license') not in ['Public Domain', 'CC0', 'CC-BY', 'CC-BY-SA', 'CC-BY-NC', 'CC-BY-NC-SA', 'CC-BY-NC-ND', 'CC-BY-ND']:  # NOQA: E501
             continue
         n_ds += 1
         # We use the name as the internal ref, as the id might change.
@@ -77,7 +76,6 @@ def _create_external_source_object(dataset, update=False, update_item=None):
     else:
         external_dataset = copy.deepcopy(EXTERNAL_DATASET_FORMAT)
 
-
     # Build the external dataset
     external_dataset["title"] = dataset.get("title", "")
     external_dataset["description"] = f"{dataset.get('description', '')} - [Data World]."

services/external_sources/index.py

@@ -114,7 +114,7 @@ def external_search(query, sources=ALL_SOURCES, legacy=False, limit=None, offset
         for item in res
         if item.get('source') in sources
     ]
-    res = [item for item in res if validate_search_result(item, query) ]
+    res = [item for item in res if validate_search_result(item, query)]
     # For legacy requests, convert the results
     if legacy:
         res = _convert_legacy_search_results(res)
@@ -143,7 +143,7 @@ def validate_search_result(item, query):
     description = item.get("description", "").lower()
     logger.info("title: %s, description: %s", title, description)
     for q in query:
-        if not q in title and not q in description:
+        if q not in title and q not in description:
             print("Q not in title or description:", q, title, description)
             return False
     return True