PYTHON-4522 Add LlamaIndex kvstore test

.evergreen/config.yml

@@ -164,18 +164,31 @@ buildvariants:
     tasks:
       - name: test-chatgpt-retrieval-plugin
 
-  - name: test-llama-index-rhel
-    display_name: LlamaIndex RHEL
+  - name: test-llama-index-kvstore-rhel
+    display_name: LlamaIndex RHEL KV Store
     expansions:
-      DIR: llama-index
+      DIR: llama-index-python-kvstore
       REPO_NAME: llama_index
-      CLONE_URL: https://github.com/run-llama/llama_index.git
+      # TODO - Update CLONE_URL: [PYTHON-4522]
+      CLONE_URL: -b PYTHON-4522 --single-branch https://github.com/shruti-sridhar/llama_index.git
       DATABASE: llama_index_test_db
     run_on:
       - rhel87-small
     tasks:
       - name: test-llama-index
 
+  - name: test-llama-index-vectorstore-rhel
+    display_name: LlamaIndex RHEL Vector Store
+    expansions:
+      DIR: llama-index-python-vectorstore
+      REPO_NAME: llama_index
+      CLONE_URL: https://github.com/run-llama/llama_index.git
+      DATABASE: llama_index_test_db
+    run_on:
+      - rhel87-small
+    tasks:
+      - name: test-llama-index
+
   - name: test-docarray-rhel
     display_name: DocArray RHEL
     expansions:

llama-index-python-kvstore/run.sh

@@ -0,0 +1,30 @@
+#!/bin/sh
+
+set -x
+
+. $workdir/src/.evergreen/utils.sh
+
+CONN_STRING=$($atlas deployments connect $DIR --connectWith connectionString)
+PYTHON_BINARY=$(find_python3)
+$PYTHON_BINARY -c "import sys; print(f'Python version found: {sys.version_info}')"
+
+# cd to the MongoDB integration. It has its own project
+cd llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-mongodb
+
+# Install Poetry into base python
+$PYTHON_BINARY -m pip install -U pip poetry
+# Create a package specific poetry environment
+$PYTHON_BINARY -m poetry env use $PYTHON_BINARY
+# Activate the poetry env, which itself does not include poetry
+source $($PYTHON_BINARY -m poetry env info --path)/bin/activate
+# Recreate the poetry lock file
+$PYTHON_BINARY -m poetry lock --no-update
+# Install from pyproject.toml into package specific environment
+$PYTHON_BINARY -m poetry install --with dev
+
+# Run tests. Sensitive variables in Evergreen come from Evergreen project: ai-ml-pipeline-testing/
+OPENAI_API_KEY=$openai_api_key \
+MONGODB_URI=$CONN_STRING \
+MONGODB_DATABASE="llama_index_test_db" \
+MONGODB_COLLECTION="llama_index_test_kvstore" \
+$PYTHON_BINARY -m poetry run pytest -v tests

llama-index-python-vectorstore/database/llama_index_test_vectorstore.json

@@ -0,0 +1 @@
+[]