chore(deps): bump the maven group across 1 directory with 2 updates (#17)

* chore(deps): bump the maven group across 1 directory with 2 updates

Bumps the maven group with 2 updates in the / directory: [com.google.guava:guava](https://github.com/google/guava) and [junit:junit](https://github.com/junit-team/junit4).


Updates `com.google.guava:guava` from 30.1-jre to 32.0.0-jre
- [Release notes](https://github.com/google/guava/releases)
- [Commits](https://github.com/google/guava/commits)

Updates `junit:junit` from 4.11 to 4.13.1
- [Release notes](https://github.com/junit-team/junit4/releases)
- [Changelog](https://github.com/junit-team/junit4/blob/main/doc/ReleaseNotes4.11.md)
- [Commits](junit-team/junit4@r4.11...r4.13.1)

---
updated-dependencies:
- dependency-name: com.google.guava:guava
  dependency-type: direct:production
  dependency-group: maven-security-group
- dependency-name: junit:junit
  dependency-type: direct:development
  dependency-group: maven-security-group
...

Signed-off-by: dependabot[bot] <[email protected]>

* test: assert test results

---------

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Anush008 <[email protected]>

Author: dependabot[bot]

pom.xml

@@ -44,7 +44,7 @@
 		<dependency>
 			<groupId>com.google.guava</groupId>
 			<artifactId>guava</artifactId>
-			<version>30.1-jre</version>
+			<version>32.0.0-jre</version>
 		</dependency>
 		<dependency>
 			<groupId>io.grpc</groupId>
@@ -75,7 +75,7 @@
 		<dependency>
 			<groupId>junit</groupId>
 			<artifactId>junit</artifactId>
-			<version>4.11</version>
+			<version>4.13.1</version>
 			<scope>test</scope>
 		</dependency>
 		<dependency>

src/test/python/test_qdrant_ingest.py

@@ -20,7 +20,7 @@ def test_upsert_unnamed_vectors(qdrant: Qdrant, spark_session: SparkSession):
         "embedding_field", "dense_vector"
     ).mode("append").option("schema", df.schema.json()).save()
 
-    qdrant.client.count(qdrant.collection_name) == df.count()
+    assert qdrant.client.count(qdrant.collection_name).count == df.count(), "Uploaded points count is not equal to the dataframe count"
 
 
 def test_upsert_named_vectors(qdrant: Qdrant, spark_session: SparkSession):
@@ -38,7 +38,8 @@ def test_upsert_named_vectors(qdrant: Qdrant, spark_session: SparkSession):
         "append"
     ).save()
 
-    qdrant.client.count(qdrant.collection_name) == df.count()
+    assert qdrant.client.count(qdrant.collection_name).count == df.count(), "Uploaded points count is not equal to the dataframe count"
+
 
 
 def test_upsert_multiple_named_dense_vectors(
@@ -58,7 +59,7 @@ def test_upsert_multiple_named_dense_vectors(
         "schema", df.schema.json()
     ).mode("append").save()
 
-    qdrant.client.count(qdrant.collection_name) == df.count()
+    assert qdrant.client.count(qdrant.collection_name).count == df.count(), "Uploaded points count is not equal to the dataframe count"
 
 
 def test_upsert_sparse_vectors(qdrant: Qdrant, spark_session: SparkSession):
@@ -76,7 +77,7 @@ def test_upsert_sparse_vectors(qdrant: Qdrant, spark_session: SparkSession):
         "sparse_vector_names", "sparse"
     ).option("schema", df.schema.json()).mode("append").save()
 
-    qdrant.client.count(qdrant.collection_name) == df.count()
+    assert qdrant.client.count(qdrant.collection_name).count == df.count(), "Uploaded points count is not equal to the dataframe count"
 
 
 def test_upsert_multiple_sparse_vectors(qdrant: Qdrant, spark_session: SparkSession):
@@ -94,7 +95,7 @@ def test_upsert_multiple_sparse_vectors(qdrant: Qdrant, spark_session: SparkSess
         "sparse_vector_names", "sparse,another_sparse"
     ).option("schema", df.schema.json()).mode("append").save()
 
-    qdrant.client.count(qdrant.collection_name) == df.count()
+    assert qdrant.client.count(qdrant.collection_name).count == df.count(), "Uploaded points count is not equal to the dataframe count"
 
 
 def test_upsert_sparse_named_dense_vectors(qdrant: Qdrant, spark_session: SparkSession):
@@ -114,7 +115,7 @@ def test_upsert_sparse_named_dense_vectors(qdrant: Qdrant, spark_session: SparkS
         "sparse_vector_names", "sparse"
     ).option("schema", df.schema.json()).mode("append").save()
 
-    qdrant.client.count(qdrant.collection_name) == df.count()
+    assert qdrant.client.count(qdrant.collection_name).count == df.count(), "Uploaded points count is not equal to the dataframe count"
 
 
 def test_upsert_sparse_unnamed_dense_vectors(
@@ -136,7 +137,7 @@ def test_upsert_sparse_unnamed_dense_vectors(
         "append"
     ).save()
 
-    qdrant.client.count(qdrant.collection_name) == df.count()
+    assert qdrant.client.count(qdrant.collection_name).count == df.count(), "Uploaded points count is not equal to the dataframe count"
 
 
 def test_upsert_multiple_sparse_dense_vectors(
@@ -158,7 +159,7 @@ def test_upsert_multiple_sparse_dense_vectors(
         "sparse_vector_names", "sparse,another_sparse"
     ).option("schema", df.schema.json()).mode("append").save()
 
-    qdrant.client.count(qdrant.collection_name) == df.count()
+    assert qdrant.client.count(qdrant.collection_name).count == df.count(), "Uploaded points count is not equal to the dataframe count"
 
 
 # Test an upsert without vectors. All the dataframe fields will be treated as payload
@@ -175,7 +176,7 @@ def test_upsert_without_vectors(qdrant: Qdrant, spark_session: SparkSession):
         "schema", df.schema.json()
     ).mode("append").save()
 
-    qdrant.client.count(qdrant.collection_name) == df.count()
+    assert qdrant.client.count(qdrant.collection_name).count == df.count(), "Uploaded points count is not equal to the dataframe count"
 
 
 def test_custom_id_field(qdrant: Qdrant, spark_session: SparkSession):