Fixes

.github/workflows/promptflow-evals-e2e-test-local.yml

@@ -60,7 +60,6 @@ jobs:
         id: run_e2e_tests_local
         run: |
             poetry run pytest -m localtest tests/evals/e2etests --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
-            poetry run pytest -m e2etest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
           poetry run python ../../scripts/code_qa/report_to_app_insights.py --activity e2e_tests_local --junit-xml test-results.xml --git-hub-action-run-id ${{ github.run_id }} --git-hub-workflow ${{ github.workflow }} --git-hub-action ${{ github.action }} --git-branch ${{ github.ref }}
         working-directory: ${{ env.WORKING_DIRECTORY }}
       - name: upload coverage report

src/promptflow-evals/promptflow/evals/evaluate/_eval_run.py

@@ -22,6 +22,7 @@
 
 # Handle optional import. The azure libraries are only present if
 # promptflow-azure is installed.
+_AZURE_IMPORTED = True
 try:
     from azure.ai.ml.entities._credentials import AccountKeyConfiguration
     from azure.ai.ml.entities._datastore.datastore import Datastore
@@ -30,12 +31,11 @@
     # If the above mentioned modules cannot be imported, we are running
     # in local mode and MLClient in the constructor will be None, so
     # we will not arrive to Azure-dependent code.
-    LOGGER.warning(
-        "azure-ai-ml cannot be imported. "
-        "The results will be saved locally, but will not be logged to Azure. "
-        "To log results to azure please install promptflow-evals with the command "
-        "pip install promptflow-evals[azure]"
-        )
+
+    # We are not logging the import failure because
+    # - If the project configuration was not provided this import is not needed.
+    # - If the project configuration was provided, the error will be raised by PFClient.
+    pass
 
 
 @dataclasses.dataclass
@@ -133,8 +133,11 @@ def __init__(self,
         self._is_promptflow_run: bool = promptflow_run is not None
         self._is_broken = False
         if self._tracking_uri is None:
-            LOGGER.warning("tracking_uri was not provided, "
-                           "The results will be saved locally, but will not be logged to Azure.")
+            if self._tracking_uri:
+                LOGGER.warning(
+                    "tracking_uri was not provided, "
+                    "The results will be saved locally, but will not be logged to Azure."
+                )
             self._url_base = None
             self._is_broken = True
             self.info = RunInfo.generate(run_name)