From ace857ff0e9f5694f153764a46290c7b29c20dc2 Mon Sep 17 00:00:00 2001
From: Yun Kim <yun.kim@datadoghq.com>
Date: Thu, 11 Jul 2024 17:09:23 -0400
Subject: [PATCH] Fix test

---
 .../openai_retrieval_embedding.yaml           | 435 +++++-------------
 .../langchain/test_langchain_community.py     |  16 +-
 ...nity.test_faiss_vectorstore_retrieval.json |   8 +-
 3 files changed, 133 insertions(+), 326 deletions(-)

diff --git a/tests/contrib/langchain/cassettes/langchain_community/openai_retrieval_embedding.yaml b/tests/contrib/langchain/cassettes/langchain_community/openai_retrieval_embedding.yaml
index 9750d9be1ef..a7615c41e2d 100644
--- a/tests/contrib/langchain/cassettes/langchain_community/openai_retrieval_embedding.yaml
+++ b/tests/contrib/langchain/cassettes/langchain_community/openai_retrieval_embedding.yaml
@@ -1,6 +1,6 @@
 interactions:
 - request:
-    body: '{"input": [[96084, 96209, 706, 220, 22, 13077, 4028, 279, 7427]], "model":
+    body: '{"input": [[3923, 574, 279, 1984, 315, 279, 1566, 1296, 3319, 30]], "model":
       "text-embedding-ada-002", "encoding_format": "base64"}'
     headers:
       accept:
@@ -10,9 +10,11 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '129'
+      - '131'
       content-type:
       - application/json
+      cookie:
+      - _cfuvid=v6MSy3Sk6pxtoYL8kXXuNiO2j0OK_HAODXl1hNcZp0o-1710190352774-0.0.1.1-604800000
       host:
       - api.openai.com
       user-agent:
@@ -36,120 +38,120 @@ interactions:
   response:
     body:
       string: !!binary |
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-      Date:
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-      - text-embedding-ada-002
-      openai-organization:
-      - datadog-4
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@@ -392,7 +197,7 @@ interactions:
       x-ratelimit-reset-tokens:
       - 0s
       x-request-id:
-      - req_c158df1872070a85e8f108bddc8467c9
+      - req_1e7aa7af282a135a9d87eaac31f00a35
     status:
       code: 200
       message: OK
diff --git a/tests/contrib/langchain/test_langchain_community.py b/tests/contrib/langchain/test_langchain_community.py
index 5b352e9deae..79838218b9e 100644
--- a/tests/contrib/langchain/test_langchain_community.py
+++ b/tests/contrib/langchain/test_langchain_community.py
@@ -1265,10 +1265,12 @@ def test_lcel_chain_non_dict_input(langchain_core):
 def test_faiss_vectorstore_retrieval(langchain_community, langchain_openai, request_vcr):
     if langchain_community is None:
         pytest.skip("langchain-community not installed which is required for this test.")
-    with request_vcr.use_cassette("openai_retrieval_embedding.yaml"):
-        faiss = langchain_community.vectorstores.faiss.FAISS.from_texts(
-            ["Quiet Platforms has 7 facilities across the USA"],
-            embedding=langchain_openai.OpenAIEmbeddings(),
-        )
-        retriever = faiss.as_retriever()
-        retriever.invoke("How many platforms does Quiet Platforms have in the US?")
+    with mock.patch("langchain_openai.OpenAIEmbeddings._get_len_safe_embeddings", return_value=[[0.0] * 1536]):
+        with request_vcr.use_cassette("openai_embedding_query.yaml"):
+            faiss = langchain_community.vectorstores.faiss.FAISS.from_texts(
+                ["this is a test query."],
+                embedding=langchain_openai.OpenAIEmbeddings(),
+            )
+            retriever = faiss.as_retriever()
+        with request_vcr.use_cassette("openai_retrieval_embedding.yaml"):
+            retriever.invoke("What was the message of the last test query?")
diff --git a/tests/snapshots/tests.contrib.langchain.test_langchain_community.test_faiss_vectorstore_retrieval.json b/tests/snapshots/tests.contrib.langchain.test_langchain_community.test_faiss_vectorstore_retrieval.json
index 1cc638962e6..477574379a9 100644
--- a/tests/snapshots/tests.contrib.langchain.test_langchain_community.test_faiss_vectorstore_retrieval.json
+++ b/tests/snapshots/tests.contrib.langchain.test_langchain_community.test_faiss_vectorstore_retrieval.json
@@ -12,7 +12,7 @@
       "_dd.p.dm": "-0",
       "_dd.p.tid": "668c5dde00000000",
       "langchain.request.api_key": "...key>",
-      "langchain.request.inputs.0.text": "Quiet Platforms has 7 facilities across the USA",
+      "langchain.request.inputs.0.text": "this is a test query.",
       "langchain.request.model": "text-embedding-ada-002",
       "langchain.request.provider": "openai",
       "langchain.request.type": "embedding",
@@ -46,9 +46,9 @@
       "_dd.p.tid": "668c5dde00000000",
       "langchain.request.api_key": "",
       "langchain.request.provider": "faiss",
-      "langchain.request.query": "How many platforms does Quiet Platforms have in the US?",
+      "langchain.request.query": "What was the message of the last test query?",
       "langchain.request.type": "similarity_search",
-      "langchain.response.document.0.page_content": "Quiet Platforms has 7 facilities across the USA",
+      "langchain.response.document.0.page_content": "this is a test query.",
       "language": "python",
       "runtime-id": "2a1d7ab4ff064afb95e895ce7aa565e0"
     },
@@ -74,7 +74,7 @@
        "error": 0,
        "meta": {
          "langchain.request.api_key": "...key>",
-         "langchain.request.inputs.0.text": "How many platforms does Quiet Platforms have in the US?",
+         "langchain.request.inputs.0.text": "What was the message of the last test query?",
          "langchain.request.model": "text-embedding-ada-002",
          "langchain.request.provider": "openai",
          "langchain.request.type": "embedding"