feat: add support for Django 5.2

pyproject.toml

@@ -5,8 +5,18 @@ description = "Context manager to upload explain plans to https://explain.dalibo
 authors = [{ name = "william chu", email = "[email protected]" }]
 readme = "README.md"
 requires-python = ">=3.10"
+classifiers = [
+    "Framework :: Django",
+    "Framework :: Django :: 3.2",
+    "Framework :: Django :: 4.0",
+    "Framework :: Django :: 4.1",
+    "Framework :: Django :: 4.2",
+    "Framework :: Django :: 5.0",
+    "Framework :: Django :: 5.1",
+    "Framework :: Django :: 5.2",
+]
 dependencies = [
-    "django>=3.2,<5.2.0",
+    "django>=3.2,<6.0",
     "psycopg2~=2.9.0",
     "sqlglot>=18.13.0",
 ]

tests/test_explain.py

@@ -1,5 +1,6 @@
 from django.db import connection
 from django.test import TestCase
+from time import sleep
 
 from django_pev import explain
 from example.school.models import Student, Subject, Teacher
@@ -22,11 +23,17 @@ def test_explain_captures_queries(self):
         with explain(db_alias="default") as e:
             list(Student.objects.filter(name="lol"))
             Student.objects.create(name="1")
-            list(Student.objects.raw("select school_student.*, pg_sleep(0.01) from school_student"))
+            list(
+                Student.objects.raw(
+                    "select school_student.*, pg_sleep(0.01) from school_student"
+                )
+            )
 
         assert e.n_queries == 3, "We should have captured 3 queries"
 
-        assert "PG_SLEEP" in e.slowest.sql, "The slowest query should be the one with pg_sleep"
+        assert (
+            "PG_SLEEP" in e.slowest.sql
+        ), "The slowest query should be the one with pg_sleep"
 
     def test_upload_plan_to_dalibo(self):
         # We can upload results to dalibo
@@ -45,7 +52,8 @@ def test_open_visualization_in_browser(self):
             list(Student.objects.filter(name="1"))
 
         pev_result = e.slowest.visualize_in_browser()
-
+        # give dalibo a fighting chance to display the result in the browser
+        sleep(5)
         pev_result.delete()
 
     def test_optimization_prompt(self):