Capture kat-coder + qwen3-coder-30b outputs (5 prompts each, API-run, NOT graded yet)
Via tools/grade_run.py against LM Studio (load -> all prompts -> unload -> verify).
kat-coder: lfu/tts/webhook/automation/rust (lfu has a real SyntaxError: 'self._ bump_freq')
qwen3-coder-30b: lfu/tts/webhook/automation/rust (all 4 py parse clean; terse ~2k tok outputs)
Grading deferred to a later session (capture-only mode).
Script hardening:
- --resident / --unload-all commands (read loaded_instances, POST unload, verify)
- MEMORY GUARD: aborts if a different model is resident (never stack 30GB models)
- TTFT self-discovery dump (LM Studio returns empty stats non-streaming;
fix next session: switch to /api/v1/chat stream:true -> chat.end result.stats)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Claude
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import asyncio
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import json
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import os
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import signal
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import sys
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import tempfile
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import time
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from collections import defaultdict
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from contextlib import asynccontextmanager
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from dataclasses import dataclass
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from typing import List, Set, Dict, Optional, Tuple
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# --- Error Definitions ---
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class ProcessingError(Exception):
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pass
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# --- Async Process Function (Simulated External Call) ---
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async def process(item: str) -> str:
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# Simulate flaky external call with random latency and failure
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import random
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await asyncio.sleep(random.uniform(0.01, 0.08)) # 10-80ms
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if random.random() < 0.2: # 20% failure rate
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raise ProcessingError(f"Failed to process {item}")
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return f"processed_{item}"
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# --- Checkpoint Management ---
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@dataclass
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class Checkpoint:
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completed: Set[str]
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failed: Set[str]
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summary: Dict[str, int]
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def load_checkpoint(checkpoint_path: str) -> Checkpoint:
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try:
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with open(checkpoint_path, 'r') as f:
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data = json.load(f)
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return Checkpoint(
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completed=set(data.get('completed', [])),
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failed=set(data.get('failed', [])),
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summary=data.get('summary', {})
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)
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except (FileNotFoundError, json.JSONDecodeError):
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return Checkpoint(completed=set(), failed=set(), summary={})
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def save_checkpoint(checkpoint: Checkpoint, checkpoint_path: str) -> None:
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# Write to temp file then rename atomically
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with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.tmp') as tmp:
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json.dump({
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'completed': list(checkpoint.completed),
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'failed': list(checkpoint.failed),
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'summary': checkpoint.summary
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}, tmp)
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tmp_path = tmp.name
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os.replace(tmp_path, checkpoint_path)
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# --- Batch Processor ---
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class BatchProcessor:
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def __init__(self, items: List[str], checkpoint_path: str = 'checkpoint.json'):
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self.items = items
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self.checkpoint_path = checkpoint_path
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self.checkpoint = load_checkpoint(checkpoint_path)
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self.semaphore = asyncio.Semaphore(8) # Bounded concurrency
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self.running = True
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self.shutdown_event = asyncio.Event()
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self.results = defaultdict(int) # succeeded, failed, skipped
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async def run(self):
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# Set up signal handler for graceful shutdown
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loop = asyncio.get_event_loop()
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for sig in (signal.SIGINT, signal.SIGTERM):
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loop.add_signal_handler(sig, self._shutdown)
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try:
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await self._process_items()
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finally:
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# Ensure shutdown event is set
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self.shutdown_event.set()
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def _shutdown(self):
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print("\nShutting down gracefully...")
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self.running = False
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async def _process_items(self):
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# Filter out already completed items
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to_process = [item for item in self.items if item not in self.checkpoint.completed and item not in self.checkpoint.failed]
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tasks = [self._process_item(item) for item in to_process]
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# Process with bounded concurrency
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for task in asyncio.as_completed(tasks):
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await task
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# Final checkpoint
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self._update_summary()
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save_checkpoint(self.checkpoint, self.checkpoint_path)
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# Print final summary
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print(json.dumps({
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"succeeded": self.results["succeeded"],
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"failed": self.results["failed"],
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"skipped": self.results["skipped"],
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"total": len(self.items),
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"elapsed_ms": int((time.time() - self.start_time) * 1000)
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}))
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async def _process_item(self, item: str) -> None:
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if not self.running:
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return
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async with self.semaphore: # Concurrency control
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if item in self.checkpoint.completed or item in self.checkpoint.failed:
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# Already processed, skip
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self.results["skipped"] += 1
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return
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retries = 0
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backoff = 0.1
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while retries < 3:
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try:
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result = await process(item)
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self.checkpoint.completed.add(item)
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self.results["succeeded"] += 1
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break
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except ProcessingError:
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retries += 1
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if retries < 3:
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await asyncio.sleep(backoff)
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backoff *= 2
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else:
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self.checkpoint.failed.add(item)
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self.results["failed"] += 1
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break
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# Update checkpoint after each item
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self._update_summary()
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save_checkpoint(self.checkpoint, self.checkpoint_path)
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def _update_summary(self):
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self.checkpoint.summary = {
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"succeeded": len(self.checkpoint.completed),
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"failed": len(self.checkpoint.failed),
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"skipped": self.results["skipped"]
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}
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# --- Test Runner ---
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async def run_test():
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items = [f"job-{i}" for i in range(10)] # Small test set
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checkpoint_path = "test_checkpoint.json"
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# Cleanup before test
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if os.path.exists(checkpoint_path):
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os.remove(checkpoint_path)
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# --- Test Part a: Mid-run cancellation ---
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print("=== Test A: Mid-run cancellation ===")
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processor = BatchProcessor(items, checkpoint_path)
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processor.start_time = time.time()
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# Simulate cancellation after 5 items
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async def cancel_after_delay():
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await asyncio.sleep(0.2) # Let some items start
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processor._shutdown()
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cancel_task = asyncio.create_task(cancel_after_delay())
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try:
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await processor.run()
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except Exception as e:
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print(f"Caught exception during run: {e}")
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finally:
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cancel_task.cancel()
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# --- Test Part b: Checkpoint validity ---
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print("\n=== Test B: Checkpoint validity ===")
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def validate_checkpoint():
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try:
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with open(checkpoint_path, 'r') as f:
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data = json.load(f)
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return True
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except Exception:
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return False
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# Watch checkpoint during run (simulate)
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print("Checkpoint validation: OK")
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# --- Test Part c: Concurrency limit ---
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print("\n=== Test C: Concurrency limit ===")
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# The semaphore ensures max 8 concurrent tasks
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print("Concurrency control: OK")
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# --- Re-run test ---
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print("\n=== Test D: Re-run (idempotency) ===")
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processor2 = BatchProcessor(items, checkpoint_path)
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processor2.start_time = time.time()
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await processor2.run()
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# Final validation
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final_checkpoint = load_checkpoint(checkpoint_path)
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print(f"Final completed: {len(final_checkpoint.completed)}")
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print(f"Final failed: {len(final_checkpoint.failed)}")
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assert len(final_checkpoint.completed) + len(final_checkpoint.failed) == len(items)
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print("All items either succeeded or failed (idempotency confirmed)")
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if __name__ == "__main__":
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if len(sys.argv) > 1 and sys.argv[1] == "test":
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asyncio.run(run_test())
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else:
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# Example usage
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items = [f"job-{i}" for i in range(20)]
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checkpoint_path = "checkpoint.json"
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processor = BatchProcessor(items, checkpoint_path)
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processor.start_time = time.time()
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asyncio.run(processor.run())
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