introduce Ruff formatting

tests/integration/integration_azure_llm.py

@@ -4,7 +4,7 @@ import asyncio
 import os
 from pipecat.processors.aggregators.openai_llm_context import (
     OpenAILLMContext,
-    OpenAILLMContextFrame
+    OpenAILLMContextFrame,
 )
 from pipecat.services.azure import AzureLLMService
 
@@ -13,6 +13,7 @@ from openai.types.chat import (
 )
 
 if __name__ == "__main__":
+
     @unittest.skip("Skip azure integration test")
     async def test_chat():
         llm = AzureLLMService(
@@ -22,7 +23,8 @@ if __name__ == "__main__":
         )
         context = OpenAILLMContext()
         message: ChatCompletionSystemMessageParam = ChatCompletionSystemMessageParam(
-            content="Please tell the world hello.", name="system", role="system")
+            content="Please tell the world hello.", name="system", role="system"
+        )
         context.add_message(message)
         frame = OpenAILLMContextFrame(context)
         async for s in llm.process_frame(frame):

tests/integration/integration_ollama_llm.py

@@ -3,7 +3,7 @@ import unittest
 import asyncio
 from pipecat.processors.aggregators.openai_llm_context import (
     OpenAILLMContext,
-    OpenAILLMContextFrame
+    OpenAILLMContextFrame,
 )
 
 from openai.types.chat import (
@@ -12,12 +12,14 @@ from openai.types.chat import (
 from pipecat.services.ollama import OLLamaLLMService
 
 if __name__ == "__main__":
+
     @unittest.skip("Skip azure integration test")
     async def test_chat():
         llm = OLLamaLLMService()
         context = OpenAILLMContext()
         message: ChatCompletionSystemMessageParam = ChatCompletionSystemMessageParam(
-            content="Please tell the world hello.", name="system", role="system")
+            content="Please tell the world hello.", name="system", role="system"
+        )
         context.add_message(message)
         frame = OpenAILLMContextFrame(context)
         async for s in llm.process_frame(frame):

tests/integration/integration_openai_llm.py

@@ -5,11 +5,7 @@ from typing import List
 
 from pipecat.services.openai import OpenAILLMContextFrame, OpenAILLMContext
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-from pipecat.frames.frames import (
-    LLMFullResponseStartFrame,
-    LLMFullResponseEndFrame,
-    TextFrame
-)
+from pipecat.frames.frames import LLMFullResponseStartFrame, LLMFullResponseEndFrame, TextFrame
 from pipecat.utils.test_frame_processor import TestFrameProcessor
 from openai.types.chat import (
     ChatCompletionSystemMessageParam,
@@ -34,21 +30,19 @@ tools = [
                     },
                     "format": {
                         "type": "string",
-                        "enum": [
-                            "celsius",
-                            "fahrenheit"],
+                        "enum": ["celsius", "fahrenheit"],
                         "description": "The temperature unit to use. Infer this from the users location.",
                     },
                 },
-                "required": [
-                    "location",
-                    "format"],
+                "required": ["location", "format"],
             },
-        })]
+        },
+    )
+]
 
 if __name__ == "__main__":
-    async def test_simple_functions():
 
+    async def test_simple_functions():
         async def get_weather_from_api(llm, args):
             return json.dumps({"conditions": "nice", "temperature": "75"})
 
@@ -60,11 +54,7 @@ if __name__ == "__main__":
         )
 
         llm.register_function("get_current_weather", get_weather_from_api)
-        t = TestFrameProcessor([
-            LLMFullResponseStartFrame,
-            TextFrame,
-            LLMFullResponseEndFrame
-        ])
+        t = TestFrameProcessor([LLMFullResponseStartFrame, TextFrame, LLMFullResponseEndFrame])
         llm.link(t)
 
         context = OpenAILLMContext(tools=tools)
@@ -82,9 +72,13 @@ if __name__ == "__main__":
         await llm.process_frame(frame, FrameDirection.DOWNSTREAM)
 
     async def test_advanced_functions():
-
         async def get_weather_from_api(llm, args):
-            return [{"role": "system", "content": "The user has asked for live weather. Respond by telling them we don't currently support live weather for that area, but it's coming soon."}]
+            return [
+                {
+                    "role": "system",
+                    "content": "The user has asked for live weather. Respond by telling them we don't currently support live weather for that area, but it's coming soon.",
+                }
+            ]
 
         api_key = os.getenv("OPENAI_API_KEY")
 
@@ -94,11 +88,7 @@ if __name__ == "__main__":
         )
 
         llm.register_function("get_current_weather", get_weather_from_api)
-        t = TestFrameProcessor([
-            LLMFullResponseStartFrame,
-            TextFrame,
-            LLMFullResponseEndFrame
-        ])
+        t = TestFrameProcessor([LLMFullResponseStartFrame, TextFrame, LLMFullResponseEndFrame])
         llm.link(t)
 
         context = OpenAILLMContext(tools=tools)
@@ -117,11 +107,7 @@ if __name__ == "__main__":
 
     async def test_chat():
         api_key = os.getenv("OPENAI_API_KEY")
-        t = TestFrameProcessor([
-            LLMFullResponseStartFrame,
-            TextFrame,
-            LLMFullResponseEndFrame
-        ])
+        t = TestFrameProcessor([LLMFullResponseStartFrame, TextFrame, LLMFullResponseEndFrame])
         llm = OpenAILLMService(
             api_key=api_key or "",
             model="gpt-4o",
@@ -129,7 +115,8 @@ if __name__ == "__main__":
         llm.link(t)
         context = OpenAILLMContext()
         message: ChatCompletionSystemMessageParam = ChatCompletionSystemMessageParam(
-            content="Please tell the world hello.", name="system", role="system")
+            content="Please tell the world hello.", name="system", role="system"
+        )
         context.add_message(message)
         frame = OpenAILLMContextFrame(context)
         await llm.process_frame(frame, FrameDirection.DOWNSTREAM)