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Fix precommit check after moving to ruff (#927)

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Lint check in main branch is failing. This fixes the lint check after we
moved to ruff in https://github.com/meta-llama/llama-stack/pull/921. We
need to move to a `ruff.toml` file as well as fixing and ignoring some
additional checks.

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
This commit is contained in:
Yuan Tang 2025-02-02 09:46:45 -05:00 • committed by GitHub
parent 4773092dd1
commit 34ab7a3b6c
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217 changed files with 981 additions and 2681 deletions
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43
llama_stack/providers/utils/inference/prompt_adapter.py
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@ -119,9 +119,7 @@ async def interleaved_content_convert_to_raw(
if image.url.uri.startswith("data"):
match = re.match(r"data:image/(\w+);base64,(.+)", image.url.uri)
if not match:
raise ValueError(
f"Invalid data URL format, {image.url.uri[:40]}..."
)
raise ValueError(f"Invalid data URL format, {image.url.uri[:40]}...")
_, image_data = match.groups()
data = base64.b64decode(image_data)
elif image.url.uri.startswith("file://"):
@ -201,19 +199,13 @@ async def convert_image_content_to_url(
content, format = await localize_image_content(media)
if include_format:
return f"data:image/{format};base64," + base64.b64encode(content).decode(
"utf-8"
)
return f"data:image/{format};base64," + base64.b64encode(content).decode("utf-8")
else:
return base64.b64encode(content).decode("utf-8")
async def completion_request_to_prompt(
request: CompletionRequest, formatter: ChatFormat
) -> str:
content = augment_content_with_response_format_prompt(
request.response_format, request.content
)
async def completion_request_to_prompt(request: CompletionRequest, formatter: ChatFormat) -> str:
content = augment_content_with_response_format_prompt(request.response_format, request.content)
request.content = content
request = await convert_request_to_raw(request)
model_input = formatter.encode_content(request.content)
@ -223,9 +215,7 @@ async def completion_request_to_prompt(
async def completion_request_to_prompt_model_input_info(
request: CompletionRequest, formatter: ChatFormat
) -> Tuple[str, int]:
content = augment_content_with_response_format_prompt(
request.response_format, request.content
)
content = augment_content_with_response_format_prompt(request.response_format, request.content)
request.content = content
request = await convert_request_to_raw(request)
model_input = formatter.encode_content(request.content)
@ -288,8 +278,7 @@ def chat_completion_request_to_messages(
return request.messages
if model.model_family == ModelFamily.llama3_1 or (
model.model_family == ModelFamily.llama3_2
and is_multimodal(model.core_model_id)
model.model_family == ModelFamily.llama3_2 and is_multimodal(model.core_model_id)
):
# llama3.1 and llama3.2 multimodal models follow the same tool prompt format
messages = augment_messages_for_tools_llama_3_1(request)
@ -327,9 +316,7 @@ def augment_messages_for_tools_llama_3_1(
if existing_messages[0].role == Role.system.value:
existing_system_message = existing_messages.pop(0)
assert (
existing_messages[0].role != Role.system.value
), "Should only have 1 system message"
assert existing_messages[0].role != Role.system.value, "Should only have 1 system message"
messages = []
@ -361,9 +348,7 @@ def augment_messages_for_tools_llama_3_1(
if isinstance(existing_system_message.content, str):
sys_content += _process(existing_system_message.content)
elif isinstance(existing_system_message.content, list):
sys_content += "\n".join(
[_process(c) for c in existing_system_message.content]
)
sys_content += "\n".join([_process(c) for c in existing_system_message.content])
messages.append(SystemMessage(content=sys_content))
@ -397,9 +382,7 @@ def augment_messages_for_tools_llama_3_2(
if existing_messages[0].role == Role.system.value:
existing_system_message = existing_messages.pop(0)
assert (
existing_messages[0].role != Role.system.value
), "Should only have 1 system message"
assert existing_messages[0].role != Role.system.value, "Should only have 1 system message"
messages = []
sys_content = ""
@ -422,9 +405,7 @@ def augment_messages_for_tools_llama_3_2(
if custom_tools:
fmt = request.tool_prompt_format or ToolPromptFormat.python_list
if fmt != ToolPromptFormat.python_list:
raise ValueError(
f"Non supported ToolPromptFormat {request.tool_prompt_format}"
)
raise ValueError(f"Non supported ToolPromptFormat {request.tool_prompt_format}")
tool_gen = PythonListCustomToolGenerator()
tool_template = tool_gen.gen(custom_tools)
@ -433,9 +414,7 @@ def augment_messages_for_tools_llama_3_2(
sys_content += "\n"
if existing_system_message:
sys_content += interleaved_content_as_str(
existing_system_message.content, sep="\n"
)
sys_content += interleaved_content_as_str(existing_system_message.content, sep="\n")
messages.append(SystemMessage(content=sys_content))