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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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4
llama_stack/distribution/ui/page/distribution/datasets.py
View file

@ -11,9 +11,7 @@ from modules.api import llama_stack_api
def datasets():
st.header("Datasets")
datasets_info = {
d.identifier: d.to_dict() for d in llama_stack_api.client.datasets.list()
}
datasets_info = {d.identifier: d.to_dict() for d in llama_stack_api.client.datasets.list()}
if len(datasets_info) > 0:
selected_dataset = st.selectbox("Select a dataset", list(datasets_info.keys()))
st.json(datasets_info[selected_dataset], expanded=True)

8
llama_stack/distribution/ui/page/distribution/eval_tasks.py
View file

@ -12,12 +12,8 @@ def eval_tasks():
# Eval Tasks Section
st.header("Eval Tasks")
eval_tasks_info = {
d.identifier: d.to_dict() for d in llama_stack_api.client.eval_tasks.list()
}
eval_tasks_info = {d.identifier: d.to_dict() for d in llama_stack_api.client.eval_tasks.list()}
if len(eval_tasks_info) > 0:
selected_eval_task = st.selectbox(
"Select an eval task", list(eval_tasks_info.keys()), key="eval_task_inspect"
)
selected_eval_task = st.selectbox("Select an eval task", list(eval_tasks_info.keys()), key="eval_task_inspect")
st.json(eval_tasks_info[selected_eval_task], expanded=True)

4
llama_stack/distribution/ui/page/distribution/models.py
View file

@ -11,9 +11,7 @@ from modules.api import llama_stack_api
def models():
# Models Section
st.header("Models")
models_info = {
m.identifier: m.to_dict() for m in llama_stack_api.client.models.list()
}
models_info = {m.identifier: m.to_dict() for m in llama_stack_api.client.models.list()}
selected_model = st.selectbox("Select a model", list(models_info.keys()))
st.json(models_info[selected_model])

9
llama_stack/distribution/ui/page/distribution/scoring_functions.py
View file

@ -11,12 +11,7 @@ from modules.api import llama_stack_api
def scoring_functions():
st.header("Scoring Functions")
scoring_functions_info = {
s.identifier: s.to_dict()
for s in llama_stack_api.client.scoring_functions.list()
}
scoring_functions_info = {s.identifier: s.to_dict() for s in llama_stack_api.client.scoring_functions.list()}
selected_scoring_function = st.selectbox(
"Select a scoring function", list(scoring_functions_info.keys())
)
selected_scoring_function = st.selectbox("Select a scoring function", list(scoring_functions_info.keys()))
st.json(scoring_functions_info[selected_scoring_function], expanded=True)

4
llama_stack/distribution/ui/page/distribution/shields.py
View file

@ -12,9 +12,7 @@ def shields():
# Shields Section
st.header("Shields")
shields_info = {
s.identifier: s.to_dict() for s in llama_stack_api.client.shields.list()
}
shields_info = {s.identifier: s.to_dict() for s in llama_stack_api.client.shields.list()}
selected_shield = st.selectbox("Select a shield", list(shields_info.keys()))
st.json(shields_info[selected_shield])

8
llama_stack/distribution/ui/page/distribution/vector_dbs.py
View file

@ -10,14 +10,10 @@ from modules.api import llama_stack_api
def vector_dbs():
st.header("Vector Databases")
vector_dbs_info = {
v.identifier: v.to_dict() for v in llama_stack_api.client.vector_dbs.list()
}
vector_dbs_info = {v.identifier: v.to_dict() for v in llama_stack_api.client.vector_dbs.list()}
if len(vector_dbs_info) > 0:
selected_vector_db = st.selectbox(
"Select a vector database", list(vector_dbs_info.keys())
)
selected_vector_db = st.selectbox("Select a vector database", list(vector_dbs_info.keys()))
st.json(vector_dbs_info[selected_vector_db])
else:
st.info("No vector databases found")