Prepare data for export to CSV.

participants/prepare_usernames_file.py

@@ -1,5 +1,6 @@
 import datetime
 import pandas as pd
+from pyprojroot import here
 
 import participants.query_db
 
@@ -25,3 +26,27 @@ participants_true_si = participants_overview_si[
 participants_true_be = participants_overview_be[
     participants_overview_be["SmartphoneBrand+Generation"].str.slice(0, 3) != "Not"
 ]
+
+# Concatenate participants from both countries.
+participants_usernames_empatica = pd.concat(
+    [participants_true_be, participants_true_si]
+)
+# Filter only the participants from the main study (queried from the database).
+participants_usernames_empatica = participants_usernames_empatica[
+    participants_usernames_empatica["Username"].isin(participants_inactive_usernames)
+]
+# Rename and select columns.
+participants_usernames_empatica = participants_usernames_empatica.rename(
+    columns={"Username": "label", "Wristband_SerialNo": "empatica_id"}
+)[["label", "empatica_id"]]
+# Adapt for csv export.
+participants_usernames_empatica["empatica_id"] = participants_usernames_empatica[
+    "empatica_id"
+].str.replace(",", ";")
+
+participants_usernames_empatica.to_csv(
+    here("rapids/data/external/main_study_participants.csv"),
+    header=True,
+    index=False,
+    line_terminator="\n",
+)