partners[patch]: Mongodb Retrievers - CI final touches. (#25202)

## Description

Contains 2 updates to for integration tests to run on langchain's CI.
Addendum to #25057 to get release github action to succeed.

libs/partners/mongodb/tests/integration_tests/test_chain_example.py

@@ -20,7 +20,7 @@ from ..utils import PatchedMongoDBAtlasVectorSearch
 CONNECTION_STRING = os.environ.get("MONGODB_ATLAS_URI")
 DB_NAME = "langchain_test_db"
 COLLECTION_NAME = "langchain_test_chain_example"
-INDEX_NAME = "vector_index_with_filter"
+INDEX_NAME = "vector_index"
 DIMENSIONS = 1536
 TIMEOUT = 60.0
 INTERVAL = 0.5

libs/partners/mongodb/tests/integration_tests/test_index.py

@@ -9,6 +9,10 @@ from pymongo.collection import Collection
 
 from langchain_mongodb import index
 
+DB_NAME = "langchain_test_index_db"
+COLLECTION_NAME = "test_index"
+VECTOR_INDEX_NAME = "vector_index"
+
 TIMEOUT = 120
 DIMENSIONS = 10
 
@@ -18,14 +22,14 @@ def collection() -> Generator:
     """Depending on uri, this could point to any type of cluster."""
     uri = os.environ.get("MONGODB_ATLAS_URI")
     client: MongoClient = MongoClient(uri)
-    clxn = client["db"]["collection"]
+    clxn = client[DB_NAME][COLLECTION_NAME]
     clxn.insert_one({"foo": "bar"})
     yield clxn
     clxn.drop()
 
 
 def test_search_index_commands(collection: Collection) -> None:
-    index_name = "vector_index"
+    index_name = VECTOR_INDEX_NAME
     dimensions = DIMENSIONS
     path = "embedding"
     similarity = "cosine"

libs/partners/mongodb/tests/integration_tests/test_retrievers.py

@@ -18,7 +18,7 @@ from ..utils import ConsistentFakeEmbeddings, PatchedMongoDBAtlasVectorSearch
 
 CONNECTION_STRING = os.environ.get("MONGODB_ATLAS_URI")
 DB_NAME = "langchain_test_db"
-COLLECTION_NAME = "test_retrievers"
+COLLECTION_NAME = "langchain_test_retrievers"
 VECTOR_INDEX_NAME = "vector_index"
 EMBEDDING_FIELD = "embedding"
 PAGE_CONTENT_FIELD = "text"