#[test]
fn test_parity051g_summary() {
println!("PARITY-051g: Batch Scheduler API Integration Summary");
println!("====================================================");
println!();
println!(" IMPLEMENTATION CHECKLIST:");
println!(" -------------------------");
println!(" [ ] 1. Add BatchRequest/BatchResponse structs to api.rs");
println!(" [ ] 2. Add BatchConfig struct with window/batch settings");
println!(" [ ] 3. Add batch_scheduler field to AppState");
println!(" [ ] 4. Add batch_request_tx channel to AppState");
println!(" [ ] 5. Implement batch_processor background task");
println!(" [ ] 6. Modify openai_completions_handler for batch path");
println!(" [ ] 7. Add AppState::with_batch_scheduler() builder method");
println!(" [ ] 8. Add integration tests for batch completions");
println!();
println!(" DEPENDENCIES:");
println!(" -------------");
println!(" - ContinuousBatchScheduler: ✅ Exists (PARITY-028)");
println!(" - forward_batch_with_gpu_ffn: ✅ Exists");
println!(" - OwnedQuantizedModelCachedSync: ✅ Exists");
println!(" - tokio channels: ✅ Already in dependencies");
println!();
println!(" ESTIMATED CHANGES:");
println!(" ------------------");
println!(" - api.rs: ~150 lines (structs, handler mod, task)");
println!(" - New tests: ~100 lines");
println!(" - Total: ~250 lines of new code");
println!();
println!(" NEXT STEPS:");
println!(" -----------");
println!(" PARITY-052: Implement BatchRequest queuing");
println!(" PARITY-053: Benchmark batch throughput");
println!(" PARITY-054: Validate M4 parity achievement");
assert!(true, "PARITY-051g: Summary documented");
}
#[test]
#[cfg(feature = "gpu")]
#[serial_test::serial]
fn test_parity052a_batch_config_defaults() {
use crate::api::BatchConfig;
let config = BatchConfig::default();
println!("PARITY-052a: BatchConfig Default Values");
println!("=======================================");
println!();
println!(
" window_ms: {} (batch accumulation window)",
config.window_ms
);
println!(
" min_batch: {} (minimum for GPU benefit)",
config.min_batch
);
println!(
" optimal_batch: {} (M4 parity threshold)",
config.optimal_batch
);
println!(
" max_batch: {} (GPU optimal from PARITY-046)",
config.max_batch
);
println!(" queue_size: {} (request buffer)", config.queue_size);
assert_eq!(
config.window_ms, 50,
"Default window should be 50ms (PARITY-095)"
);
assert_eq!(config.min_batch, 4, "Min batch should be 4");
assert_eq!(
config.optimal_batch, 32,
"Optimal batch should be 32 (PARITY-095: aligned with GPU threshold)"
);
assert_eq!(config.max_batch, 64, "Max batch should be 64 (PARITY-095)");
assert_eq!(config.queue_size, 1024, "Queue size should be 1024");
}
#[test]
#[cfg(feature = "gpu")]
#[serial_test::serial]
fn test_parity052b_batch_config_presets() {
use crate::api::BatchConfig;
let low_latency = BatchConfig::low_latency();
let high_throughput = BatchConfig::high_throughput();
println!("PARITY-052b: BatchConfig Presets");
println!("================================");
println!();
println!(" LOW LATENCY preset:");
println!(" window_ms: {} (shorter wait)", low_latency.window_ms);
println!(" min_batch: {} (smaller batches)", low_latency.min_batch);
println!(" optimal_batch: {}", low_latency.optimal_batch);
println!(" max_batch: {}", low_latency.max_batch);
println!();
println!(" HIGH THROUGHPUT preset:");
println!(" window_ms: {} (longer wait)", high_throughput.window_ms);
println!(
" min_batch: {} (larger batches)",
high_throughput.min_batch
);
println!(" optimal_batch: {}", high_throughput.optimal_batch);
println!(" max_batch: {}", high_throughput.max_batch);
assert!(
low_latency.window_ms < 10,
"Low latency should have shorter window"
);
assert!(
low_latency.optimal_batch < 16,
"Low latency should have smaller optimal batch"
);
assert!(
high_throughput.window_ms > 10,
"High throughput should have longer window"
);
assert!(
high_throughput.optimal_batch > 16,
"High throughput should have larger optimal batch"
);
}
#[test]
#[cfg(feature = "gpu")]
#[serial_test::serial]
fn test_parity052c_batch_config_decisions() {
use crate::api::BatchConfig;
let config = BatchConfig::default();
println!("PARITY-052c: BatchConfig Decision Methods");
println!("=========================================");
println!();
let test_sizes = [1, 4, 8, 16, 32, 64];
println!(" should_process (batch >= {}):", config.optimal_batch);
for size in test_sizes {
let should = config.should_process(size);
println!(
" batch={}: {}",
size,
if should { "✅ PROCESS" } else { "⏳ wait" }
);
}
println!();
println!(" meets_minimum (batch >= {}):", config.min_batch);
for size in test_sizes {
let meets = config.meets_minimum(size);
println!(
" batch={}: {}",
size,
if meets { "✅ YES" } else { "❌ NO" }
);
}
assert!(
!config.should_process(31),
"batch=31 should not trigger process"
);
assert!(
config.should_process(32),
"batch=32 should trigger process (GPU threshold)"
);
assert!(config.should_process(64), "batch=64 should trigger process");
assert!(!config.meets_minimum(3), "batch=3 should not meet minimum");
assert!(config.meets_minimum(4), "batch=4 should meet minimum");
}
#[test]
#[cfg(feature = "gpu")]
#[serial_test::serial]
fn test_parity052d_batch_response_creation() {
use crate::api::ContinuousBatchResponse;
println!("PARITY-052d: ContinuousBatchResponse Creation");
println!("=============================================");
println!();
let single = ContinuousBatchResponse::single(
vec![1, 2, 3, 4, 5], 2, 15.6, );
println!(" Single-request response:");
println!(" batched: {}", single.batched);
println!(" batch_size: {}", single.batch_size);
println!(" prompt_len: {}", single.prompt_len);
println!(" generated_tokens: {:?}", single.generated_tokens());
println!(" latency_ms: {:.1}", single.latency_ms);
assert!(!single.batched, "Single response should not be batched");
assert_eq!(
single.batch_size, 1,
"Single response batch_size should be 1"
);
assert_eq!(
single.generated_tokens(),
&[3, 4, 5],
"Should skip prompt tokens"
);
let batched = ContinuousBatchResponse::batched(
vec![10, 20, 30, 40, 50, 60], 3, 16, 83.0, );
println!();
println!(" Batched response:");
println!(" batched: {}", batched.batched);
println!(" batch_size: {}", batched.batch_size);
println!(" prompt_len: {}", batched.prompt_len);
println!(" generated_tokens: {:?}", batched.generated_tokens());
println!(" latency_ms: {:.1}", batched.latency_ms);
assert!(batched.batched, "Batched response should be batched");
assert_eq!(batched.batch_size, 16, "Batch size should be 16");
assert_eq!(
batched.generated_tokens(),
&[40, 50, 60],
"Should skip prompt tokens"
);
}
#[test]
#[cfg(feature = "gpu")]
#[serial_test::serial]
fn test_parity052e_appstate_batch_config() {
println!("PARITY-052e: AppState Batch Configuration");
println!("=========================================");
println!();
println!(" NEW APPSTATE FIELDS:");
println!(" - batch_request_tx: Option<mpsc::Sender<ContinuousBatchRequest>>");
println!(" - batch_config: Option<BatchConfig>");
println!();
println!(" NEW ACCESSOR METHODS:");
println!(" - batch_request_tx() -> Option<&Sender>");
println!(" - batch_config() -> Option<&BatchConfig>");
println!(" - batch_enabled() -> bool");
println!(" - with_batch_config() -> Self (builder)");
println!();
println!(" USAGE PATTERN:");
println!(" let (tx, rx) = tokio::sync::mpsc::channel(config.queue_size);");
println!(" let state = AppState::with_cached_model(model)?");
println!(" .with_batch_config(tx, BatchConfig::default());");
println!();
println!(" BACKWARD COMPATIBLE:");
println!(" - batch_enabled() returns false by default");
println!(" - Handlers check batch_enabled() before using batch path");
println!(" - Existing single-request path unchanged");
assert!(true, "PARITY-052e: AppState batch config documented");
}
#[test]
#[cfg(feature = "gpu")]
#[serial_test::serial]
fn test_parity052f_summary() {
println!("PARITY-052f: Batch Request Queuing Summary");
println!("==========================================");
println!();
println!(" IMPLEMENTATION STATUS: ✅ COMPLETE");
println!();
println!(" STRUCTS ADDED (api.rs):");
println!(" ✅ BatchConfig - window timing and size thresholds");
println!(" ✅ ContinuousBatchRequest - internal request with oneshot channel");
println!(" ✅ ContinuousBatchResponse - result with batching metadata");
println!(" ✅ BatchQueueStats - monitoring statistics");
println!();
println!(" APPSTATE EXTENSIONS:");
println!(" ✅ batch_request_tx field");
println!(" ✅ batch_config field");
println!(" ✅ batch_request_tx() accessor");
println!(" ✅ batch_config() accessor");
println!(" ✅ batch_enabled() check");
println!(" ✅ with_batch_config() builder");
println!();
println!(" CONFIG PRESETS:");
println!(" ✅ BatchConfig::default() - balanced");
println!(" ✅ BatchConfig::low_latency() - smaller batches, shorter window");
println!(" ✅ BatchConfig::high_throughput() - larger batches, longer window");
println!();
println!(" NEXT STEPS:");
println!(" PARITY-053: Implement batch processor background task");
println!(" PARITY-054: Benchmark batch throughput");
println!(" PARITY-055: Validate M4 parity achievement");
assert!(true, "PARITY-052f: Summary documented");
}
#[test]
#[cfg(feature = "gpu")]
#[serial_test::serial]
fn test_parity053a_batch_processor_architecture() {
println!("PARITY-053a: Batch Processor Architecture");
println!("=========================================");
println!();
println!(" COMPONENTS:");
println!(" 1. spawn_batch_processor(model, config) -> Sender");
println!(" - Creates mpsc channel with config.queue_size buffer");
println!(" - Spawns batch_processor_task as background tokio task");
println!(" - Returns Sender for submitting requests");
println!();
println!(" 2. batch_processor_task(rx, model, config)");
println!(" - Main event loop running continuously");
println!(" - Collects requests with timeout-based batching");
println!(" - Processes when batch ready or window expires");
println!();
println!(" 3. process_batch(model, config, batch)");
println!(" - Spawns concurrent tokio tasks for each request");
println!(" - Each task calls model.generate_with_cache()");
println!(" - Sends results via oneshot channels");
println!();
println!(" BATCHING TRIGGERS:");
println!(" - batch.len() >= config.optimal_batch (immediate)");
println!(" - window_ms timeout reached (process current)");
println!(" - Channel closed (process remaining, exit)");
assert!(true, "PARITY-053a: Architecture documented");
}
#[test]
#[cfg(feature = "gpu")]
#[serial_test::serial]
fn test_parity053b_batch_processor_flow() {
println!("PARITY-053b: Batch Processor Flow");
println!("=================================");
println!();
println!(" REQUEST SUBMISSION FLOW:");
println!(" 1. HTTP handler receives /v1/completions request");
println!(" 2. Handler tokenizes prompt");
println!(" 3. Handler creates oneshot channel for response");
println!(" 4. Handler sends ContinuousBatchRequest via mpsc");
println!(" 5. Handler awaits oneshot receiver");
println!();
println!(" BATCH PROCESSOR FLOW:");
println!(" 1. Receive request from mpsc (with timeout)");
println!(" 2. Add to batch vector");
println!(" 3. Check if batch ready:");
println!(" - batch.len() >= optimal_batch? -> process immediately");
println!(" - timeout elapsed? -> process current batch");
println!(" 4. process_batch():");
println!(" a. Spawn task for each request");
println!(" b. Call model.generate_with_cache()");
println!(" c. Send result via oneshot");
println!(" 5. Clear batch, reset window timer");
println!();
println!(" HANDLER RESPONSE FLOW:");
println!(" 1. Handler receives ContinuousBatchResponse via oneshot");
println!(" 2. Handler decodes token_ids to text");
println!(" 3. Handler returns HTTP response");
assert!(true, "PARITY-053b: Flow documented");
}
#[test]
#[cfg(feature = "gpu")]
#[serial_test::serial]
fn test_parity053c_spawn_batch_processor_usage() {
println!("PARITY-053c: spawn_batch_processor Usage");
println!("========================================");
println!();
println!(" FUNCTION SIGNATURE:");
println!(" pub fn spawn_batch_processor(");
println!(" model: Arc<OwnedQuantizedModelCachedSync>,");
println!(" config: BatchConfig,");
println!(" ) -> tokio::sync::mpsc::Sender<ContinuousBatchRequest>");
println!();
println!(" USAGE EXAMPLE:");
println!(" // During server startup");
println!(" let model = Arc::new(OwnedQuantizedModelCachedSync::new(...)?);");
println!(" let config = BatchConfig::default();");
println!(" let batch_tx = spawn_batch_processor(model.clone(), config.clone());");
println!();
println!(" // Create AppState with batch support");
println!(" let state = AppState::with_cached_model(model)?");
println!(" .with_batch_config(batch_tx, config);");
println!();
println!(" LIFECYCLE:");
println!(" - Task runs until channel is closed (all senders dropped)");
println!(" - Processes remaining batch on shutdown");
println!(" - Graceful shutdown via dropping AppState");
assert!(true, "PARITY-053c: Usage documented");
}