Fix linter

jobs/host_immunity.py

@@ -2,7 +2,6 @@ import requests
 from bs4 import BeautifulSoup
 import pandas as pd
 from io import BytesIO
-import json
 from utils import update
 
 
@@ -45,7 +44,8 @@ def get_summary_xlsx():
         return response.content
     else:
         raise f"Failed to retrieve the .xlsx file. Status code: {response.status_code}"
-        
+
+
 def filter_xlsx(xlsx):
     # Read the Excel file into a pandas DataFrame
     primary_series_studies = pd.read_excel(BytesIO(xlsx), sheet_name="Primary Series Studies")
@@ -53,7 +53,8 @@ def filter_xlsx(xlsx):
 
     primary_series_studies = primary_series_studies[primary_series_studies["outcome_category"].isin(filters)]
     booster_studies = booster_studies[booster_studies["outcome_category"].isin(filters)]
-    return (primary_series_studies, booster_studies) 
+    return (primary_series_studies, booster_studies)
+
 
 def get_primary_ve_values(df):
     # calculate the VE value
@@ -63,7 +64,6 @@ def get_primary_ve_values(df):
     return ve_data.to_dict('records')
 
 
-
 def get_booster_ve_values(df):
     # create df without the '  or  ' substring in primary vaccines
     rows_with_or = df[df['primary series vaccine'].str.contains(' or ')]
@@ -81,7 +81,7 @@ def get_booster_ve_values(df):
         new_rows_with_or.at[index, 'primary series vaccine'] = row['primary series vaccine'].split(' or ')[0]
         rows_to_add.loc[index] = new_rows_with_or.loc[index]
         new_rows_with_or.at[index, 'primary series vaccine'] = row['primary series vaccine'].split(' or ')[1]
-        rows_to_add.loc[len(rows_indexes)+index] = new_rows_with_or.loc[index]
+        rows_to_add.loc[len(rows_indexes) + index] = new_rows_with_or.loc[index]
 
     # merge the dataframe without the '  or  ' with the new dataframe that has the rows divided in two
     final_df = pd.concat([df_without_or, rows_to_add]).reset_index().drop(columns=['index'])
@@ -102,6 +102,7 @@ def convert_primary_dict(result):
 
     return new
 
+
 xlsx = get_summary_xlsx()
 (primary_series_studies, booster_studies) = filter_xlsx(xlsx)
 vaccine_primary_host_immunity = convert_primary_dict(get_primary_ve_values(primary_series_studies))