From fe514aebc0c8d394a39a0bcdf85bec36fcc9d9da Mon Sep 17 00:00:00 2001
From: George Panchuk <george.panchuk@qdrant.tech>
Date: Mon, 13 Apr 2026 21:52:00 +0700
Subject: [PATCH] tests: add test

---
 .../test_geo_polygon_filter_query.py          | 70 +++++++++++++++++++
 1 file changed, 70 insertions(+)

diff --git a/tests/congruence_tests/test_geo_polygon_filter_query.py b/tests/congruence_tests/test_geo_polygon_filter_query.py
index 1123a015..a173c771 100644
--- a/tests/congruence_tests/test_geo_polygon_filter_query.py
+++ b/tests/congruence_tests/test_geo_polygon_filter_query.py
@@ -4,10 +4,12 @@ import random
 from qdrant_client.http.models import models
 from tests.congruence_tests.test_common import (
     COLLECTION_NAME,
+    compare_client_results,
     generate_fixtures,
     init_client,
     init_local,
     init_remote,
+    initialize_fixture_collection,
 )
 
 
@@ -85,3 +87,71 @@ def test_geo_polygon_filter_query():
             print(f"Remote:", json.dumps(remote.payload["nested"]["array"], indent=2))
 
             assert False
+
+
+def test_geo_bounding_box_edge_point():
+    """Points on bounding box edges use strict inequalities and should be excluded."""
+    collection_name = COLLECTION_NAME
+
+    local_client = init_local()
+    remote_client = init_remote()
+
+    vectors_config = models.VectorParams(size=2, distance=models.Distance.DOT)
+    initialize_fixture_collection(local_client, collection_name, vectors_config=vectors_config)
+    initialize_fixture_collection(remote_client, collection_name, vectors_config=vectors_config)
+
+    # bbox: top_left=(lon=158.75, lat=90.0), bottom_right=(lon=180.0, lat=69.4)
+    points = [
+        # on top edge (lat == top_left.lat)
+        models.PointStruct(
+            id=1, vector=[0.1, 0.1], payload={"location": {"lat": 90.0, "lon": 170.0}}
+        ),
+        # on bottom edge (lat == bottom_right.lat)
+        models.PointStruct(
+            id=2, vector=[0.2, 0.2], payload={"location": {"lat": 69.4, "lon": 170.0}}
+        ),
+        # on left edge (lon == top_left.lon)
+        models.PointStruct(
+            id=3, vector=[0.3, 0.3], payload={"location": {"lat": 80.0, "lon": 158.75}}
+        ),
+        # on right edge (lon == bottom_right.lon)
+        models.PointStruct(
+            id=4, vector=[0.4, 0.4], payload={"location": {"lat": 80.0, "lon": 180.0}}
+        ),
+        # corner: top-right
+        models.PointStruct(
+            id=5, vector=[0.5, 0.5], payload={"location": {"lat": 90.0, "lon": 180.0}}
+        ),
+        # corner: bottom-left
+        models.PointStruct(
+            id=6, vector=[0.6, 0.6], payload={"location": {"lat": 69.4, "lon": 158.75}}
+        ),
+        # strictly inside
+        models.PointStruct(
+            id=7, vector=[0.7, 0.7], payload={"location": {"lat": 80.0, "lon": 170.0}}
+        ),
+        # strictly outside
+        models.PointStruct(
+            id=8, vector=[0.8, 0.8], payload={"location": {"lat": 50.0, "lon": 170.0}}
+        ),
+    ]
+
+    local_client.upload_points(collection_name, points, wait=True)
+    remote_client.upload_points(collection_name, points, wait=True)
+
+    bbox = models.GeoBoundingBox(
+        top_left=models.GeoPoint(lon=158.75, lat=90.0),
+        bottom_right=models.GeoPoint(lon=180.0, lat=69.4),
+    )
+    geo_filter = models.Filter(must=[models.FieldCondition(key="location", geo_bounding_box=bbox)])
+
+    compare_client_results(
+        local_client,
+        remote_client,
+        lambda client: client.scroll(
+            collection_name=collection_name,
+            scroll_filter=geo_filter,
+            limit=100,
+            with_payload=True,
+        ),
+    )