Enable integration tests to run in the workflow

tests/integration_tests/conftest.py

@@ -17,7 +17,7 @@ def secret_client() -> SecretClient:
 
 
 @pytest.fixture(scope="module")
-def dotenv_template_params(secret_client: SecretClient) -> dict[str, str]:
+def dotenv_template_params_from_kv(secret_client: SecretClient) -> dict[str, str]:
     secrets_properties_list = secret_client.list_properties_of_secrets()
     secrets = {}
     for secret in secrets_properties_list:
@@ -26,3 +26,27 @@ def dotenv_template_params(secret_client: SecretClient) -> dict[str, str]:
     return secrets
 
 
+@pytest.fixture(scope="module")
+def dotenv_template_params_from_env() -> dict[str, str]:
+    env_secrets = [
+        "azureCosmosdbAccount",
+        "azureCosmosdbAccountKey",
+        "azureCosmosdbConversationsContainer",
+        "azureCosmosdbDatabase",
+        "azureOpenaiEmbeddingName"
+        "azureOpenaiEndpoint",
+        "azureOpenaiModel",
+        "azureOpenaiKey",
+        "azureSearchIndex",
+        "azureSearchKey",
+        "azureSearchQuery",
+        "azureSearchService",
+        "elasticsearchEmbeddingModelId",
+        "elasticsearchEncodedApiKey",
+        "elasticsearchEndpoint",
+        "elasticsearchIndex",
+        "elasticsearchQuery"
+    ]
+
+    return {s: os.getenv(s.upper()) for s in env_secrets}
+

tests/integration_tests/test_datasources.py

@@ -68,7 +68,7 @@ def use_elasticsearch_embeddings(request):
 @pytest.fixture(scope="function")
 def dotenv_rendered_template_path(
     request,
-    dotenv_template_params,
+    dotenv_template_params_from_env,
     datasource,
     enable_chat_history,
     stream, 
@@ -83,30 +83,30 @@ def dotenv_rendered_template_path(
     )
 
     if datasource != "none":
-        dotenv_template_params["datasourceType"] = datasource
+        dotenv_template_params_from_env["datasourceType"] = datasource
 
     if datasource != "Elasticsearch" and use_elasticsearch_embeddings:
         pytest.skip("Elasticsearch embeddings not supported for test.")
 
     if datasource == "Elasticsearch":
-        dotenv_template_params["useElasticsearchEmbeddings"] = use_elasticsearch_embeddings
+        dotenv_template_params_from_env["useElasticsearchEmbeddings"] = use_elasticsearch_embeddings
 
-    dotenv_template_params["useAoaiEmbeddings"] = use_aoai_embeddings
+    dotenv_template_params_from_env["useAoaiEmbeddings"] = use_aoai_embeddings
 
     if use_aoai_embeddings or use_elasticsearch_embeddings:
-        dotenv_template_params["azureSearchQueryType"] = "vector"
-        dotenv_template_params["elasticsearchQueryType"] = "vector"
+        dotenv_template_params_from_env["azureSearchQueryType"] = "vector"
+        dotenv_template_params_from_env["elasticsearchQueryType"] = "vector"
     else:
-        dotenv_template_params["azureSearchQueryType"] = "simple"
-        dotenv_template_params["elasticsearchQueryType"] = "simple"
+        dotenv_template_params_from_env["azureSearchQueryType"] = "simple"
+        dotenv_template_params_from_env["elasticsearchQueryType"] = "simple"
 
-    dotenv_template_params["enableChatHistory"] = enable_chat_history
-    dotenv_template_params["azureOpenaiStream"] = stream
+    dotenv_template_params_from_env["enableChatHistory"] = enable_chat_history
+    dotenv_template_params_from_env["azureOpenaiStream"] = stream
 
     return render_template_to_tempfile(
         rendered_template_name,
         template_path,
-        **dotenv_template_params
+        **dotenv_template_params_from_env
     )
 
 
@@ -121,12 +121,12 @@ def test_app(dotenv_rendered_template_path) -> Quart:
 
 
 @pytest.mark.asyncio
-async def test_dotenv(test_app: Quart, dotenv_template_params: dict[str, str]):
-    if dotenv_template_params["datasourceType"] == "AzureCognitiveSearch":
-        message_content = dotenv_template_params["azureSearchQuery"]
+async def test_dotenv(test_app: Quart, dotenv_template_params_from_env: dict[str, str]):
+    if dotenv_template_params_from_env["datasourceType"] == "AzureCognitiveSearch":
+        message_content = dotenv_template_params_from_env["azureSearchQuery"]
 
-    elif dotenv_template_params["datasourceType"] == "Elasticsearch":
-        message_content = dotenv_template_params["elasticsearchQuery"]
+    elif dotenv_template_params_from_env["datasourceType"] == "Elasticsearch":
+        message_content = dotenv_template_params_from_env["elasticsearchQuery"]
 
     else:
         message_content = "What is Contoso?"