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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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GPG key ID: B5690EEEBB952194
217 changed files with 981 additions and 2681 deletions
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10
llama_stack/providers/inline/tool_runtime/code_interpreter/code_execution.py
View file

@ -87,13 +87,9 @@ class CodeExecutor:
scripts = req.scripts
for i in range(len(scripts) - 1):
if req.only_last_cell_stdouterr:
scripts[i] = STDOUTERR_SINK_WRAPPER_TEMPLATE.format(
code=textwrap.indent(scripts[i], " " * 4)
)
scripts[i] = STDOUTERR_SINK_WRAPPER_TEMPLATE.format(code=textwrap.indent(scripts[i], " " * 4))
if req.only_last_cell_fail:
scripts[i] = TRYEXCEPT_WRAPPER_TEMPLATE.format(
code=textwrap.indent(scripts[i], " " * 4)
)
scripts[i] = TRYEXCEPT_WRAPPER_TEMPLATE.format(code=textwrap.indent(scripts[i], " " * 4))
# Seeds prefix:
seed = req.seed
@ -190,7 +186,7 @@ def execute_subprocess_request(request, ctx: CodeExecutionContext):
if request["type"] == "matplotlib":
return process_matplotlib_response(request, ctx.matplotlib_dump_dir)
else:
raise Exception(f'Unrecognised network request type: {request["type"]}')
raise Exception(f"Unrecognised network request type: {request['type']}")
def do_subprocess(*, cmd: list, env: dict, ctx: CodeExecutionContext):

4
llama_stack/providers/inline/tool_runtime/code_interpreter/code_interpreter.py
View file

@ -59,9 +59,7 @@ class CodeInterpreterToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime):
)
]
async def invoke_tool(
self, tool_name: str, kwargs: Dict[str, Any]
) -> ToolInvocationResult:
async def invoke_tool(self, tool_name: str, kwargs: Dict[str, Any]) -> ToolInvocationResult:
script = kwargs["code"]
req = CodeExecutionRequest(scripts=[script])
res = self.code_executor.execute(req)

12
llama_stack/providers/inline/tool_runtime/rag/memory.py
View file

@ -39,9 +39,7 @@ log = logging.getLogger(__name__)
def make_random_string(length: int = 8):
return "".join(
secrets.choice(string.ascii_letters + string.digits) for _ in range(length)
)
return "".join(secrets.choice(string.ascii_letters + string.digits) for _ in range(length))
class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
@ -120,9 +118,7 @@ class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
return RAGQueryResult(content=None)
# sort by score
chunks, scores = zip(
*sorted(zip(chunks, scores), key=lambda x: x[1], reverse=True)
)
chunks, scores = zip(*sorted(zip(chunks, scores), key=lambda x: x[1], reverse=True))
tokens = 0
picked = []
@ -169,9 +165,7 @@ class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
),
]
async def invoke_tool(
self, tool_name: str, kwargs: Dict[str, Any]
) -> ToolInvocationResult:
async def invoke_tool(self, tool_name: str, kwargs: Dict[str, Any]) -> ToolInvocationResult:
raise RuntimeError(
"This toolgroup should not be called generically but only through specific methods of the RAGToolRuntime protocol"
)