Incorporate DB query for usernames into snakemake workflow.

participants/prepare_usernames_file.py

@@ -1,4 +1,10 @@
 import datetime
+import os
+import sys
+
+nb_dir = os.path.split(os.getcwd())[0]
+if nb_dir not in sys.path:
+    sys.path.append(nb_dir)
 
 import pandas as pd
 from features.timezone import get_timezone_data
@@ -16,10 +22,10 @@ participants_inactive_usernames = participants.query_db.get_usernames(
 )
 
 participants_overview_si = pd.read_csv(
-    "E:/STRAWbaseline/Participants_overview_Slovenia.csv", sep=";"
+    snakemake.params["baseline_folder"] + "Participants_overview_Slovenia.csv", sep=";"
 )
 participants_overview_be = pd.read_csv(
-    "E:/STRAWbaseline/Participants_overview_Belgium.csv", sep=";"
+    snakemake.params["baseline_folder"]+ "Participants_overview_Belgium.csv", sep=";"
 )
 
 participants_true_si = participants_overview_si[
@@ -47,7 +53,7 @@ participants_usernames_empatica["empatica_id"] = participants_usernames_empatica
 ].str.replace(",", ";")
 
 participants_usernames_empatica.to_csv(
-    here("rapids/data/external/main_study_participants.csv"),
+    snakemake.output["usernames_file"],
     header=True,
     index=False,
     line_terminator="\n",
@@ -56,7 +62,7 @@ participants_usernames_empatica.to_csv(
 timezone_df = get_timezone_data(participants_inactive_usernames)
 
 timezone_df.to_csv(
-    here("rapids/data/external/timezone.csv"),
+    snakemake.output["timezone_file"],
     header=True,
     index=False,
     line_terminator="\n",