Saving recommended updates by the Svelte Gemini agent.

admin/development/test_v3_search.py

@@ -11,7 +11,7 @@ headers = {
     "Content-Type": "application/json"
 }
 
-def test_search(obj_type, query, description):
+def test_search(obj_type, query, description, params=None):
     """
     Helper to run a search test and print results.
     """
@@ -19,7 +19,8 @@ def test_search(obj_type, query, description):
     url = f"{BASE_URL}/{obj_type}/search"
     
     try:
-        response = requests.post(url, headers=headers, json=query)
+        response = requests.post(url, headers=headers, json=query, params=params)
+        print(f"URL: {response.url}")
         print(f"Status Code: {response.status_code}")
         
         data = response.json()
@@ -47,36 +48,37 @@ def test_search(obj_type, query, description):
 if __name__ == "__main__":
     print(f"Starting Aether V3 Search Tests against {BASE_URL}\n")
 
-    # 1. Simple Equality
-    # Tests 'eq' operator on 'journal'
-    query_eq = {
-        "and": [
-            {"field": "enable", "op": "eq", "value": True}
-        ]
+    # 1. Standardized Global Search (q property)
+    query_q = {
+        "q": "%" # Standardized full-text search across indexed columns
     }
-    test_search("journal", query_eq, "Simple Equality (enable=True)")
+    test_search("journal", query_q, "Global Search (q property)")
 
-    # 2. LIKE search
-    # Tests 'like' operator with wildcards on 'name' field (corrected from 'title')
-    # Using '%' to catch any journals with names
-    query_like = {
-        "and": [
-            {"field": "name", "op": "like", "value": "%"}
-        ]
+    # 2. Hybrid Filtering (POST Body + Query Params)
+    query_simple = {
+        "and": [{"field": "name", "op": "like", "value": "%"}]
     }
-    test_search("journal", query_like, "LIKE search (name LIKE '%')")
+    params_hybrid = {"enabled": "disabled"} # Should find disabled journals if any
+    test_search("journal", query_simple, "Hybrid Filtering (Body + ?enabled=disabled)", params=params_hybrid)
 
-    # 3. Numeric Comparison
-    # Tests 'gt' (Greater Than) operator
-    query_gt = {
-        "and": [
-            {"field": "id", "op": "gt", "value": 0}
-        ]
+    # 3. View Selection (view parameter)
+    # Testing with 'site_domain' which has 'tbl_alt' defined as 'v_site_domain_fqdn_id'
+    query_site = {"q": "%"}
+    params_view = {"view": "alt"}
+    test_search("site_domain", query_site, "View Selection (view=alt)", params=params_view)
+
+    # 4. Explicit Parent Filtering
+    # Testing 'journal_entry' belonging to a journal (journal_id=1 exists based on previous tests)
+    # We'll use the 'for_obj_type' and 'for_obj_id' as query params
+    # Assuming id_random 'DCAV-06-35-85' exists for journal_id 1
+    query_empty = {} 
+    params_parent = {
+        "for_obj_type": "journal",
+        "for_obj_id": "DCAV-06-35-85"
     }
-    test_search("journal", query_gt, "Numeric Comparison (internal id > 0)")
+    test_search("journal_entry", query_empty, "Explicit Parent Filtering (?for_obj_type=journal)", params=params_parent)
 
-    # 4. Complex Nested Logic (AND + OR)
-    # Tests recursive grouping: (enable=True) AND (name LIKE % % OR summary IS NOT NULL)
+    # 5. Complex Nested Logic (Recap)
     query_nested = {
         "and": [
             {"field": "enable", "op": "eq", "value": True},
@@ -90,48 +92,4 @@ if __name__ == "__main__":
     }
     test_search("journal", query_nested, "Nested Logic (AND + OR group)")
 
-    # 5. IN List
-    # Tests 'in' operator with a list of values
-    # Based on previous results, we know id 1 exists for journal
-    query_in = {
-        "and": [
-            {"field": "journal_id", "op": "in", "value": [1, 2, 3]}
-        ]
-    }
-    test_search("journal_entry", query_in, "IN List search (journal_entry with journal_id in [1,2,3])")
-
-    # 6. NULL Check
-    # Tests 'is_null' operator
-    query_null = {
-        "and": [
-            {"field": "notes", "op": "is_null"}
-        ]
-    }
-    test_search("site", query_null, "Null Check (notes is NULL)")
-
-    # 7. Event Search
-    query_event = {
-        "and": [
-            {"field": "enable", "op": "eq", "value": True},
-            {"field": "name", "op": "like", "value": "%"}
-        ]
-    }
-    test_search("event", query_event, "Event Search (enable=True and has name)")
-
-    # 8. Event Badge Search
-    query_badge = {
-        "and": [
-            {"field": "event_id", "op": "gt", "value": 0}
-        ]
-    }
-    test_search("event_badge", query_badge, "Event Badge Search (event_id > 0)")
-
-    # 9. Event Location Search
-    query_location = {
-        "and": [
-            {"field": "name", "op": "like", "value": "%"}
-        ]
-    }
-    test_search("event_location", query_location, "Event Location Search (has name)")
-
-    print("Tests Complete.")
+    print("Tests Complete.")