Deploying an AI app

import json
import os
from datetime import datetime
from dataclasses import dataclass, field
from typing import Dict, List, Optional

# ─── محاكاة FastAPI AI Server ──────────────────────────────
@dataclass
class ServerConfig:
    host:         str   = "0.0.0.0"
    port:         int   = 8080
    workers:      int   = 4
    claude_model: str   = "claude-3-haiku-20240307"
    max_tokens:   int   = 1024
    rate_limit:   int   = 100  # طلبات/دقيقة

PROJECT_FILES = {
    "requirements.txt": """fastapi==0.111.0
uvicorn[standard]==0.29.0
anthropic==0.28.0
python-dotenv==1.0.1
pydantic==2.7.0
slowapi==0.1.9
""",

    "app/main.py": """import os
from fastapi import FastAPI, HTTPException, Request
from pydantic import BaseModel
from anthropic import Anthropic
from dotenv import load_dotenv

load_dotenv()
app    = FastAPI(title="AI API on Oracle Cloud ARM")
client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))

class ChatRequest(BaseModel):
    message: str
    max_tokens: int = 1024

@app.get("/health")
def health(): return {"status": "ok", "model": "claude-3-haiku"}

@app.post("/chat")
def chat(req: ChatRequest):
    resp = client.messages.create(
        model="claude-3-haiku-20240307",
        max_tokens=req.max_tokens,
        messages=[{"role": "user", "content": req.message}],
    )
    return {"reply": resp.content[0].text, "tokens": resp.usage.input_tokens}
""",

    "nginx.conf": """server {
    listen 80;
    server_name _;

    location / {
        proxy_pass         http://127.0.0.1:8080;
        proxy_set_header   Host $host;
        proxy_set_header   X-Real-IP $remote_addr;
        proxy_read_timeout 30s;
    }
}
""",

    "ai-api.service": """[Unit]
Description=AI FastAPI Service
After=network.target

[Service]
User=ubuntu
WorkingDirectory=/opt/ai-api
ExecStart=/opt/ai-env/bin/uvicorn app.main:app --host 0.0.0.0 --port 8080 --workers 4
Restart=always
RestartSec=3
EnvironmentFile=/opt/ai-api/.env

[Install]
WantedBy=multi-user.target
""",
}

# ─── محاكاة FastAPI Server ─────────────────────────────────
class ClaudeClient:
    def ask(self, message: str) -> str:
        return f"[Claude Haiku على Oracle ARM] إجابتي: {message[:50]}..."

class AIServer:
    def __init__(self, cfg: ServerConfig):
        self.cfg     = cfg
        self.claude  = ClaudeClient()
        self._reqs   = 0
        self._errors = 0
        self._start  = datetime.now()

    def handle_request(self, path: str, body: dict = None) -> Dict:
        self._reqs += 1
        body = body or {}

        if path == "/health":
            uptime = (datetime.now() - self._start).seconds
            return {"status": "ok", "uptime_s": uptime,
                    "model": self.cfg.claude_model,
                    "requests": self._reqs}

        elif path == "/chat":
            msg = body.get("message", "").strip()
            if not msg:
                self._errors += 1
                return {"error": "message مطلوب", "code": 400}
            reply = self.claude.ask(msg)
            return {"reply": reply, "model": self.cfg.claude_model}

        elif path == "/stats":
            err_rate = self._errors / max(self._reqs, 1)
            err_str  = f"{err_rate:.1%}"
            return {"total_requests": self._reqs, "errors": self._errors,
                    "error_rate": err_str, "workers": self.cfg.workers}

        self._errors += 1
        return {"error": "Not Found", "code": 404}

# ─── عرض المشروع ───────────────────────────────────────────
print("🔴 مشروع: AI API على Oracle Cloud ARM")
print("=" * 55)

# عرض ملفات المشروع
print("\n📁 ملفات المشروع:")
for fname, content in PROJECT_FILES.items():
    lines = content.strip().split("\n")
    print(f"  📄 {fname} ({len(lines)} سطر)")

# تشغيل المحاكاة
print(f"\n\n🚀 تشغيل FastAPI Server:")
cfg    = ServerConfig(workers=4)
server = AIServer(cfg)
print(f"  Host    : {cfg.host}:{cfg.port}")
print(f"  Workers : {cfg.workers}")
print(f"  Model   : {cfg.claude_model}")

# اختبار Endpoints
print(f"\n\n🧪 اختبار Endpoints:")
tests = [
    ("/health", {}),
    ("/chat",   {"message": "ما هو Oracle Cloud Always Free؟"}),
    ("/chat",   {"message": ""}),  # خطأ
    ("/chat",   {"message": "كيف أنشر FastAPI على Oracle VM؟"}),
    ("/stats",  {}),
]
for path, body in tests:
    resp = server.handle_request(path, body)
    code = resp.get("code", 200)
    icon = "✅" if code == 200 else "❌"
    key  = "reply" if "reply" in resp else ("status" if "status" in resp else list(resp.keys())[0])
    val  = str(resp.get(key, ""))[:60]
    print(f"  {icon} {path:<10} → {key}: {val}")

# خطوات النشر
print(f"\n\n📋 خطوات النشر على Oracle ARM:")
steps = [
    ("نسخ الملفات",    "scp -r app/ ubuntu@IP:/opt/ai-api/"),
    ("تثبيت مكتبات",   "pip install -r requirements.txt"),
    ("إعداد .env",     "echo 'ANTHROPIC_API_KEY=sk-...' > .env"),
    ("تفعيل Service",  "sudo systemctl enable ai-api && sudo systemctl start ai-api"),
    ("إعداد Nginx",    "sudo cp nginx.conf /etc/nginx/sites-enabled/ && sudo nginx -t -s reload"),
    ("اختبار",         "curl http://YOUR_IP/health"),
]
for i, (desc, cmd) in enumerate(steps, 1):
    print(f"  {i}. {desc}")
    print(f"     $ {cmd}")
    print()
print("✅ AI API يعمل على Oracle Cloud مجاناً للأبد!")