test: update planner docs with requirements that are needed; point users to...

test: update planner docs with requirements that are needed; point users to readme for installation (#3032)
Signed-off-by: Hannah Zhang <hannahz@nvidia.com>

tests/planner/README.md

@@ -246,15 +246,3 @@ The table below shows the performance improvement of SLA planner across differen
 | Inefficient parallelization mapping | 311% | 249% |
 | Best static deployment | 52% | 29% |`
 
-### Prerequisites
-
-**For Unit Tests:**
-- Python dependencies installed
-- PYTHONPATH set to include `components/planner/src` (see unit test examples above)
-
-**For E2E Tests:**
-- Kubernetes cluster with GPU nodes
-- kubectl configured and accessible
-- genai-perf available in PATH
-- Python dependencies installed
-- PYTHONPATH properly configured for planner imports

tests/planner/scaling/run_scaling_test.sh

@@ -48,7 +48,7 @@ check_prerequisites() {
     log_info "Checking prerequisites..."
 
     if ! command -v kubectl &> /dev/null; then
-        log_error "kubectl not found. Please install kubectl."
+        log_error "kubectl not found. Please ensure it is installed and in your PATH."
         exit 1
     fi
 
@@ -62,29 +62,11 @@ check_prerequisites() {
         exit 1
     fi
 
-    if [ ! -f "test_scaling_e2e.py" ]; then
-        log_error "test_scaling_e2e.py not found. Make sure you're in the tests/planner directory."
-        exit 1
-    fi
-
     # Check for genai-perf
     if ! command -v genai-perf &> /dev/null; then
-        log_warning "genai-perf not found. This tool is required for load generation."
-        echo -n "Would you like us to install it for you? (y/n): "
-        read -r response
-        if [[ "$response" =~ ^[Yy]$ ]]; then
-            log_info "Installing genai-perf and perf_analyzer..."
-            # Install specific versions for reproducibility and security
-            if pip install 'nvidia-ml-py3>=12.0.0' 'genai-perf>=0.0.4' 'tritonclient[all]>=2.48.0'; then
-                log_success "genai-perf and perf_analyzer installed successfully"
-            else
-                log_error "Failed to install genai-perf. Please install it manually: pip install 'nvidia-ml-py3>=12.0.0' 'genai-perf>=0.0.4' 'tritonclient[all]>=2.48.0'"
-                exit 1
-            fi
-        else
-            log_error "genai-perf is required for the scaling test. Please install it: pip install 'nvidia-ml-py3>=12.0.0' 'genai-perf>=0.0.4' 'tritonclient[all]>=2.48.0'"
-            exit 1
-        fi
+        log_error "genai-perf not found. This tool is required for load generation."
+        log_error "Please install the required dependencies by following the instructions in tests/planner/README.md"
+        exit 1
     fi
 
     log_success "Prerequisites check passed"

tests/planner/test_replica_calculation.py

@@ -52,6 +52,7 @@ def planner():
     args.itl = 10  # ms
     args.backend = "vllm"
     args.no_operation = True  # Don't actually scale
+    args.no_correction = False  # Allow correction factors
     args.prometheus_port = 0  # 0 means disabled
     args.load_predictor = "constant"
     args.load_prediction_window_size = 10