Patient context

eb_dashboard.py

@@ -86,7 +86,8 @@ from eb_dashboard_utils import (
     clear_httpx_client,
     get_thread_position,
     get_config_path,
-    thread_local_storage
+    thread_local_storage,
+    run_with_context
 )
 from eb_dashboard_quality_checks import (
     backup_output_files,
@@ -1127,14 +1128,16 @@ def _process_inclusion_data(inclusion, organization):
     pseudo = get_nested_value(inclusion, path=["pseudo"], default="Unknown")
 
     # Set thread-local context for detailed error logging in decorators
-    thread_local_storage.current_patient_context = {"id": patient_id, "pseudo": pseudo}
+    ctx = {"id": patient_id, "pseudo": pseudo}
+    thread_local_storage.current_patient_context = ctx
 
     # Initialize empty output structure
     output_inclusion = {}
 
     # --- Prepare all data sources ---
     # 1. Launch Visit Search asynchronously (it's slow, ~5s)
-    visit_future = subtasks_thread_pool.submit(search_visit_by_pseudo_and_order, pseudo, 2)
+    # We use run_with_context to pass the patient identity to the new thread
+    visit_future = subtasks_thread_pool.submit(run_with_context, search_visit_by_pseudo_and_order, ctx, pseudo, 2)
 
     # 2. Prepare inclusion_data: enrich inclusion with organization info
     inclusion_data = dict(inclusion)
@@ -1148,7 +1151,7 @@ def _process_inclusion_data(inclusion, organization):
 
     # 4. Get tube_id for request and launch in parallel with questionnaires
     tube_id = get_nested_value(record_data, path=["record", "clinicResearchData", 0, "requestMetaData", "tubeId"], default="undefined")
-    request_future = subtasks_thread_pool.submit(get_request_by_tube_id, tube_id)
+    request_future = subtasks_thread_pool.submit(run_with_context, get_request_by_tube_id, ctx, tube_id)
     all_questionnaires = get_all_questionnaires_by_patient(patient_id, record_data)
 
     # --- Synchronize all asynchronous tasks ---