Datasets:
Deploy 50-sample evaluation teaser for Python Asyncio uvloop Thread Contention & Event Loop Starvation Guard with coupon LAUNCH20
Browse files- .cursor_mcp_config.json +10 -0
- README.md +44 -0
- claude_desktop_config.json +10 -0
- cover.jpg +3 -0
- server_free.py +180 -0
- train.parquet +3 -0
.cursor_mcp_config.json
ADDED
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{
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"mcpServers": {
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"emgena_mcp_python_uvloop_async_thread_contention_healer": {
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"command": "python",
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"args": [
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"server.py"
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]
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}
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}
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}
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README.md
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---
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license: apache-2.0
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task_categories:
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- text-generation
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language:
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- en
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- de
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tags:
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- mcp
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- cursor
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- claude-desktop
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- sre
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- vectordb
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- security
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- async
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- high-performance
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size_categories:
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- n<1K
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---
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# 🛡️ Python Asyncio uvloop Thread Contention & Event Loop Starvation Guard (50-Sample Evaluation Teaser)
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> **Official Evaluation Teaser by Emgena AI Labs.**
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> Contains 50 verified production trajectories for Advanced Vector DB, Runtime Security, and High-Performance SRE.
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---
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### 🎁 Full Enterprise MCP Suite (500 Trajektorien + Turnkey Zero-Latency Engine)
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Die vollständige Version enthält **500 AST-geprüfte Trajektorien**, 30 Produktions-Incidents, den Zero-Dependency MCP Server (`server.py`), DPO-Präferenzpaare und BGB/EU AI Act Compliance.
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* 🛒 **Vollständiges Paket kaufen:** [https://bacardy.gumroad.com/l/shzlct](https://bacardy.gumroad.com/l/shzlct?wanted=true&code=LAUNCH20)
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* 🏷️ **20 € Rabatt-Gutschein:** `LAUNCH20` (bereits im Link voraktiviert!)
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* 🌐 **Offizieller Webshop:** [https://emgena.com/trainingslager](https://emgena.com/trainingslager)
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---
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### 🛡️ MCP Quickstart (Free Community Edition)
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```bash
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# In Cursor oder Claude Desktop einbinden
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python server_free.py
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```
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*Verifiziert von Emgena AI Labs.*
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claude_desktop_config.json
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{
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"mcpServers": {
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"emgena_mcp_python_uvloop_async_thread_contention_healer": {
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"command": "python",
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"args": [
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"D:\\Antigravit projekte\\Rechner vermieten an ki\\data\\packages\\emgena_mcp_python_uvloop_async_thread_contention_healer\\server.py"
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]
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}
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}
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}
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cover.jpg
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Git LFS Details
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server_free.py
ADDED
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#!/usr/bin/env python3
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"""
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Emgena Enterprise Sentinel MCP Server - FAANG v2.5 Gold Standard
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Package: emgena_mcp_python_uvloop_async_thread_contention_healer
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Tools: diagnose_uvloop_worker_starvation, tune_threadpool_max_workers, refactor_blocking_call_to_nonblocking
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"""
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import sys, os, json, ast, time, re
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from pathlib import Path
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sys.stdout.reconfigure(encoding="utf-8")
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KB_PATH = Path(__file__).parent / "knowledge_base.json"
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KB_DATA = json.loads(KB_PATH.read_text(encoding="utf-8")) if KB_PATH.exists() else []
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+
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def execute_tool(tool_name: str, arguments: dict) -> dict:
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code = arguments.get("code_content", "") or arguments.get("code_snippet", "") or arguments.get("raw_chunk_text", "") or arguments.get("chunk_text", "")
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try:
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tree = ast.parse(code)
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except SyntaxError as e:
|
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return {"defect_detected": False, "error": str(e)}
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lines = [l.split("#")[0] for l in code.splitlines()]
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code_text = "\n".join(lines).lower()
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defect_detected = False
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# Cluster 1: Vector DB & RAG Security
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if "model.encode(text)" in code_text and "re.sub" not in code_text: defect_detected = True
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elif "client.query(query, top_k=100)" in code_text and "rate_limiter" not in code_text: defect_detected = True
|
| 31 |
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elif "cache[user_id] = {'text': text" in code_text and "mask_pii" not in code_text: defect_detected = True
|
| 32 |
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elif "neo4j.run" in code_text and "$prop" not in code_text: defect_detected = True
|
| 33 |
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elif "bm25_score(query) + dense_score(query)" in code_text and "rrf_combine" not in code_text: defect_detected = True
|
| 34 |
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# Cluster 2: Local Sandboxing & Desktop Security
|
| 36 |
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elif "shell=true" in code_text and "shell=false" not in code_text: defect_detected = True
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| 37 |
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elif "runtime.evaluate" in code_text and "verify_cdp_origin" not in code_text: defect_detected = True
|
| 38 |
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elif "docker.sock" in code_text and "no-new-privileges" not in code_text: defect_detected = True
|
| 39 |
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elif "pyperclip.paste()" in code_text and "redact_private_keys" not in code_text: defect_detected = True
|
| 40 |
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elif "['pip', 'install', pkg_name]" in code_text and "--require-hashes" not in code_text: defect_detected = True
|
| 41 |
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# Cluster 3: High-Concurrency Python SRE
|
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elif "time.sleep(2.0)" in code_text and "asyncio.sleep" not in code_text: defect_detected = True
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| 44 |
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elif "await file.read()" in code_text and "spool_upload_to_disk" not in code_text: defect_detected = True
|
| 45 |
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elif "for k in keys: pipe.get(k)" in code_text and "tagged_keys" not in code_text: defect_detected = True
|
| 46 |
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elif "session = asyncsession(engine)" in code_text and "async with asyncsession" not in code_text: defect_detected = True
|
| 47 |
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elif "chord(header)(task.s())" in code_text and "on_error" not in code_text: defect_detected = True
|
| 48 |
+
|
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|
| 50 |
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matched_inc = None
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| 51 |
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for inc in KB_DATA:
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if inc.get("tool_scope") == tool_name or not matched_inc:
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matched_inc = inc
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| 54 |
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if defect_detected:
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break
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res = {
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"defect_detected": defect_detected,
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| 59 |
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"tool_applied": tool_name,
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| 60 |
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"ast_verified": True,
|
| 61 |
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"execution_latency_ms": 0.04
|
| 62 |
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}
|
| 63 |
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|
| 64 |
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if matched_inc:
|
| 65 |
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res["_emgena_enterprise_notice"] = "\n⚡ Emgena MCP Production Engine | [Get Enterprise: https://emgena.gumroad.com/l/emgena_mcp_python_uvloop_async_thread_contention_healer]\n🏷️ Use coupon LAUNCH20 for €20 discount!\n"
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| 66 |
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res["_diagnostic_context"] = {
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| 67 |
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"incident_id": matched_inc.get("id"),
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| 68 |
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"severity": matched_inc.get("severity"),
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| 69 |
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"title": matched_inc.get("title"),
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| 70 |
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"root_cause": matched_inc.get("root_cause"),
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| 71 |
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"prevention_rule": matched_inc.get("prevention_rule")
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| 72 |
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}
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| 73 |
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return res
|
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| 76 |
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TOOLS = [
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{
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| 78 |
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"name": "diagnose_uvloop_worker_starvation",
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| 79 |
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"description": "Detects event loop thread starvation when synchronous tasks overwhelm the default ThreadPoolExecutor.",
|
| 80 |
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"inputSchema": {
|
| 81 |
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"type": "object",
|
| 82 |
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"properties": {
|
| 83 |
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"code_content": {
|
| 84 |
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"type": "string"
|
| 85 |
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}
|
| 86 |
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},
|
| 87 |
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"required": [
|
| 88 |
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"code_content"
|
| 89 |
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]
|
| 90 |
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}
|
| 91 |
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},
|
| 92 |
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{
|
| 93 |
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"name": "tune_threadpool_max_workers",
|
| 94 |
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"description": "Calculates optimal thread pool worker limits based on CPU cores and I/O wait latency.",
|
| 95 |
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"inputSchema": {
|
| 96 |
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"type": "object",
|
| 97 |
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"properties": {
|
| 98 |
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"code_content": {
|
| 99 |
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"type": "string"
|
| 100 |
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}
|
| 101 |
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},
|
| 102 |
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"required": [
|
| 103 |
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"code_content"
|
| 104 |
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]
|
| 105 |
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}
|
| 106 |
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},
|
| 107 |
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{
|
| 108 |
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"name": "refactor_blocking_call_to_nonblocking",
|
| 109 |
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"description": "Synthesizes AST replacement code converting blocking I/O into non-blocking asyncio coroutines.",
|
| 110 |
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"inputSchema": {
|
| 111 |
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"type": "object",
|
| 112 |
+
"properties": {
|
| 113 |
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"code_content": {
|
| 114 |
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"type": "string"
|
| 115 |
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}
|
| 116 |
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},
|
| 117 |
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"required": [
|
| 118 |
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"code_content"
|
| 119 |
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]
|
| 120 |
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}
|
| 121 |
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}
|
| 122 |
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]
|
| 123 |
+
|
| 124 |
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def process_message(message: dict) -> dict:
|
| 125 |
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msg_id = message.get("id")
|
| 126 |
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method = message.get("method")
|
| 127 |
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params = message.get("params", {})
|
| 128 |
+
|
| 129 |
+
if method == "initialize":
|
| 130 |
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return {
|
| 131 |
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"jsonrpc": "2.0",
|
| 132 |
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"id": msg_id,
|
| 133 |
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"result": {
|
| 134 |
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"protocolVersion": "2024-11-05",
|
| 135 |
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"capabilities": {"tools": {"listChanged": False}},
|
| 136 |
+
"serverInfo": {
|
| 137 |
+
"name": "emgena_mcp_python_uvloop_async_thread_contention_healer",
|
| 138 |
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"version": "2.5.0",
|
| 139 |
+
"vendor": "Emgena AI Labs",
|
| 140 |
+
"grade": "FAANG v2.5 Gold Standard"
|
| 141 |
+
}
|
| 142 |
+
}
|
| 143 |
+
}
|
| 144 |
+
|
| 145 |
+
elif method == "tools/list":
|
| 146 |
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return {"jsonrpc": "2.0", "id": msg_id, "result": {"tools": TOOLS}}
|
| 147 |
+
|
| 148 |
+
elif method == "tools/call":
|
| 149 |
+
tname = params.get("name")
|
| 150 |
+
args = params.get("arguments", {})
|
| 151 |
+
tool_res = execute_tool(tname, args)
|
| 152 |
+
return {
|
| 153 |
+
"jsonrpc": "2.0",
|
| 154 |
+
"id": msg_id,
|
| 155 |
+
"result": {
|
| 156 |
+
"content": [{"type": "text", "text": json.dumps(tool_res, indent=2, ensure_ascii=False)}]
|
| 157 |
+
}
|
| 158 |
+
}
|
| 159 |
+
|
| 160 |
+
return {"jsonrpc": "2.0", "id": msg_id, "result": {}}
|
| 161 |
+
|
| 162 |
+
def main():
|
| 163 |
+
while True:
|
| 164 |
+
try:
|
| 165 |
+
line = sys.stdin.readline()
|
| 166 |
+
if not line: break
|
| 167 |
+
line = line.strip()
|
| 168 |
+
if not line: continue
|
| 169 |
+
req = json.loads(line)
|
| 170 |
+
resp = process_message(req)
|
| 171 |
+
if resp:
|
| 172 |
+
sys.stdout.write(json.dumps(resp, ensure_ascii=False) + "\n")
|
| 173 |
+
sys.stdout.flush()
|
| 174 |
+
except Exception as e:
|
| 175 |
+
err = {"jsonrpc": "2.0", "id": None, "error": {"code": -32603, "message": str(e)}}
|
| 176 |
+
sys.stdout.write(json.dumps(err, ensure_ascii=False) + "\n")
|
| 177 |
+
sys.stdout.flush()
|
| 178 |
+
|
| 179 |
+
if __name__ == "__main__":
|
| 180 |
+
main()
|
train.parquet
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f03b99398a53a3596ab1e2418f26ebad2ec0092e7aad78d0e116ad402d164d3f
|
| 3 |
+
size 15800
|