Fix filter bug and handle doc_groups as JSON string

ai_ta_backend/database/vector.py

@@ -33,12 +33,14 @@ def vector_search(self, search_query, course_name, doc_groups: List[str], user_q
     """
     Search the vector database for a given query.
     """
-    must_conditions: List[models.Condition] = [
+    # print(f"Searching for: {search_query} with doc_groups: {doc_groups}")
+    must_conditions: list[models.Condition] = [
         models.FieldCondition(key='course_name', match=models.MatchValue(value=course_name))
     ]
-    if doc_groups:
+    if doc_groups and doc_groups != []:
       must_conditions.append(models.FieldCondition(key='doc_groups', match=models.MatchAny(any=doc_groups)))
     myfilter = models.Filter(must=must_conditions)
+    print(f"Filter: {myfilter}")
     search_results = self.qdrant_client.search(
         collection_name=os.environ['QDRANT_COLLECTION_NAME'],
         query_filter=myfilter,

ai_ta_backend/main.py

@@ -1,3 +1,4 @@
+import json
 import os
 import time
 from typing import List
@@ -103,7 +104,7 @@ def getTopContexts(service: RetrievalService) -> Response:
   search_query: str = request.args.get('search_query', default='', type=str)
   course_name: str = request.args.get('course_name', default='', type=str)
   token_limit: int = request.args.get('token_limit', default=3000, type=int)
-  doc_groups: List[str] = request.args.get('doc_groups', default=[], type=List[str])
+  doc_groups_str: str = request.args.get('doc_groups', default='[]', type=str)
   if search_query == '' or course_name == '':
     # proper web error "400 Bad request"
     abort(
@@ -112,6 +113,11 @@ def getTopContexts(service: RetrievalService) -> Response:
         f"Missing one or more required parameters: 'search_query' and 'course_name' must be provided. Search query: `{search_query}`, Course name: `{course_name}`"
     )
 
+  doc_groups: List[str] = []
+
+  if doc_groups_str != '[]':
+    doc_groups = json.loads(doc_groups_str)
+
   found_documents = service.getTopContexts(search_query, course_name, token_limit, doc_groups)
 
   response = jsonify(found_documents)