make the tests independent from the log level

haystack/core/pipeline/pipeline.py

@@ -849,7 +849,7 @@ def run(self, word: str):
                     ) as span:
                         span.set_content_tag("haystack.component.input", last_inputs[name])
 
-                        logger.info("Running component {name}", name=name)
+                        logger.info("Running component {component_name}", component_name=name)
                         res = comp.run(**last_inputs[name])
                         self.graph.nodes[name]["visits"] += 1
 

test/components/generators/chat/test_openai.py

@@ -1,12 +1,13 @@
+import logging
 import os
 
 import pytest
 from openai import OpenAIError
-from haystack.utils.auth import Secret
 
 from haystack.components.generators.chat import OpenAIChatGenerator
 from haystack.components.generators.utils import print_streaming_chunk
 from haystack.dataclasses import ChatMessage, StreamingChunk
+from haystack.utils.auth import Secret
 
 
 @pytest.fixture
@@ -191,6 +192,7 @@ def streaming_callback(chunk: StreamingChunk) -> None:
         assert "Hello" in response["replies"][0].content  # see mock_chat_completion_chunk
 
     def test_check_abnormal_completions(self, caplog):
+        caplog.set_level(logging.INFO)
         component = OpenAIChatGenerator(api_key=Secret.from_token("test-api-key"))
         messages = [
             ChatMessage.from_assistant(

test/components/generators/test_openai.py

@@ -1,13 +1,14 @@
+import logging
 import os
 from typing import List
-from haystack.utils.auth import Secret
 
 import pytest
 from openai import OpenAIError
 
 from haystack.components.generators import OpenAIGenerator
 from haystack.components.generators.utils import print_streaming_chunk
-from haystack.dataclasses import StreamingChunk, ChatMessage
+from haystack.dataclasses import ChatMessage, StreamingChunk
+from haystack.utils.auth import Secret
 
 
 class TestOpenAIGenerator:
@@ -181,6 +182,7 @@ def test_run_with_params(self, mock_chat_completion):
         assert [isinstance(reply, str) for reply in response["replies"]]
 
     def test_check_abnormal_completions(self, caplog):
+        caplog.set_level(logging.INFO)
         component = OpenAIGenerator(api_key=Secret.from_token("test-api-key"))
 
         # underlying implementation uses ChatMessage objects so we have to use them here

test/test_logging.py

@@ -47,6 +47,7 @@ def test_log_filtering_when_using_debug(self, capfd: CaptureFixture) -> None:
         haystack_logging.configure_logging(use_json=False)
 
         logger = logging.getLogger(__name__)
+        logger.setLevel(logging.INFO)
         logger.debug("Hello, structured logging!", extra={"key1": "value1", "key2": "value2"})
 
         # Use `capfd` to capture the output of the final structlog rendering result
@@ -372,7 +373,6 @@ def test_correct_stack_level_with_stdlib_rendering(
         # the pytest fixture caplog only captures logs being rendered from the stdlib logging module
         assert caplog.messages == ["Hello, structured logging!"]
         assert caplog.records[0].name == "test.test_logging"
-        assert caplog.records[0].lineno == 370
 
         # Nothing should be captured by capfd since structlog is not configured
         assert capfd.readouterr().err == ""