Merge pull request llm-d-incubation#121 from anfredette/format-fix-lint

style: fix formatting and lint issues in UI components

Author: anfredette

ui/app.py

@@ -513,7 +513,14 @@ def main():
 
     # Tab-based navigation (6 tabs)
     tab1, tab2, tab3, tab4, tab5, tab6 = st.tabs(
-        ["Define Use Case", "Technical Specification", "Recommendations", "Deployment", "Deployment Management", "Configuration"]
+        [
+            "Define Use Case",
+            "Technical Specification",
+            "Recommendations",
+            "Deployment",
+            "Deployment Management",
+            "Configuration",
+        ]
     )
 
     with tab1:

ui/components/deployment.py

@@ -185,14 +185,18 @@ def _render_deploy_to_cluster_button(selected_config: dict):
         use_container_width=True,
         type="primary",
         disabled=already_deployed,
-        help="Already deployed to cluster" if already_deployed else "Deploy to Kubernetes cluster (YAML auto-generated)",
+        help="Already deployed to cluster"
+        if already_deployed
+        else "Deploy to Kubernetes cluster (YAML auto-generated)",
         key="deploy_to_cluster_btn",
     ):
         # Check cluster accessibility when the user clicks
         with st.spinner("Checking cluster connectivity..."):
             status = check_cluster_status()
         if not status.get("accessible", False):
-            st.error("Kubernetes cluster is not accessible. Please ensure the cluster is running and try again.")
+            st.error(
+                "Kubernetes cluster is not accessible. Please ensure the cluster is running and try again."
+            )
             return
 
         with st.spinner("Deploying to Kubernetes cluster..."):
@@ -208,7 +212,9 @@ def _render_deploy_to_cluster_button(selected_config: dict):
                 st.session_state.deployment_yaml_files = files
                 st.session_state.deployment_yaml_generated = True
 
-            st.success(f"Successfully deployed to cluster! Deployment ID: `{result.get('deployment_id')}`")
+            st.success(
+                f"Successfully deployed to cluster! Deployment ID: `{result.get('deployment_id')}`"
+            )
 
             deployment_result = result.get("deployment_result", {})
             for applied_file in deployment_result.get("applied_files", []):

ui/components/deployment_management.py

@@ -9,7 +9,7 @@
 
 import pandas as pd
 import streamlit as st
-from api_client import delete_deployment, get_k8s_status, load_all_deployments
+from api_client import delete_deployment, load_all_deployments
 
 
 def render_deployment_management_tab():
@@ -46,12 +46,14 @@ def render_deployment_management_tab():
         status = dep.get("status", {})
         pods = dep.get("pods", [])
         ready = status.get("ready", False)
-        table_data.append({
-            "Status": "Ready" if ready else "Pending",
-            "Name": dep["deployment_id"],
-            "Pods": len(pods),
-            "Ready": "Yes" if ready else "No",
-        })
+        table_data.append(
+            {
+                "Status": "Ready" if ready else "Pending",
+                "Name": dep["deployment_id"],
+                "Pods": len(pods),
+                "Ready": "Yes" if ready else "No",
+            }
+        )
 
     df = pd.DataFrame(table_data)
     st.dataframe(df, use_container_width=True, hide_index=True)
@@ -257,14 +259,21 @@ def _run_inference_test(deployment_id: str, prompt: str, max_tokens: int, temper
             start_time = time.time()
 
             curl_cmd = [
-                "curl", "-s", "-X", "POST",
+                "curl",
+                "-s",
+                "-X",
+                "POST",
                 "http://localhost:8080/v1/completions",
-                "-H", "Content-Type: application/json",
-                "-d", json.dumps({
-                    "prompt": prompt,
-                    "max_tokens": max_tokens,
-                    "temperature": temperature,
-                }),
+                "-H",
+                "Content-Type: application/json",
+                "-d",
+                json.dumps(
+                    {
+                        "prompt": prompt,
+                        "max_tokens": max_tokens,
+                        "temperature": temperature,
+                    }
+                ),
             ]
 
             with st.expander("Debug Info"):

ui/components/settings.py

@@ -13,7 +13,6 @@
     upload_benchmarks,
 )
 
-
 _TAB_INDEX = 5  # Configuration is the 6th tab (0-indexed)
 
 
@@ -33,7 +32,10 @@ def _on_mode_change():
         result = update_deployment_mode(new_mode)
         if result:
             st.session_state.deployment_mode_selection = st.session_state.deployment_mode_radio
-            st.session_state["_mode_msg"] = ("success", f"Deployment mode set to **{st.session_state.deployment_mode_radio}**.")
+            st.session_state["_mode_msg"] = (
+                "success",
+                f"Deployment mode set to **{st.session_state.deployment_mode_radio}**.",
+            )
         else:
             st.session_state["_mode_msg"] = ("error", "Failed to update deployment mode.")
         st.session_state["_pending_tab"] = _TAB_INDEX