مشروع: نشر FastAPI في Docker

#!/usr/bin/env python3
"""
مشروع: نشر FastAPI في Docker
Project: FastAPI + Claude + Docker Complete Project Generator
"""

from pathlib import Path
import os

PROJECT_NAME = "ai-docker-project"

# ─── محتوى الملفات ─────────────────────────────────────────
FILES = {
    "app/__init__.py": "",

    "app/main.py": '''from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import anthropic
import os
import logging

logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s")
logger = logging.getLogger(__name__)

app = FastAPI(title="AI Assistant API", version="1.0.0")
app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])

client = anthropic.Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY", ""))

class ChatRequest(BaseModel):
    message: str
    max_tokens: int = 500

class ChatResponse(BaseModel):
    reply: str
    tokens_used: int

@app.get("/")
def root():
    return {"service": "AI Assistant API", "status": "ok"}

@app.get("/health")
def health():
    return {"healthy": True}

@app.post("/chat", response_model=ChatResponse)
def chat(req: ChatRequest):
    try:
        msg = client.messages.create(
            model="claude-haiku-4-5-20251001",
            max_tokens=req.max_tokens,
            messages=[{"role": "user", "content": req.message}],
        )
        tokens = msg.usage.input_tokens + msg.usage.output_tokens
        logger.info(f"Chat request processed: {tokens} tokens")
        return ChatResponse(reply=msg.content[0].text, tokens_used=tokens)
    except Exception as e:
        logger.error(f"Error: {e}")
        raise HTTPException(status_code=500, detail=str(e))
''',

    "requirements.txt": """fastapi==0.115.0
uvicorn[standard]==0.31.0
anthropic==0.34.0
pydantic==2.9.0
python-dotenv==1.0.1""",

    "Dockerfile": """FROM python:3.11-slim

# تثبيت curl للـ health check
RUN apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# نسخ المتطلبات أولاً (cache optimization)
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# نسخ الكود
COPY . .

ENV PYTHONUNBUFFERED=1
EXPOSE 8000

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]""",

    "docker-compose.yml": """version: "3.9"

services:
  api:
    build: .
    container_name: ai-assistant-api
    ports:
      - "8080:8000"
    env_file:
      - .env
    volumes:
      - .:/app
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s""",

    ".env.example": """# انسخ هذا الملف إلى .env وأضف مفتاحك
ANTHROPIC_API_KEY=sk-ant-your-key-here
LOG_LEVEL=info""",

    ".dockerignore": """__pycache__/
*.pyc
*.pyo
.env
.env.*
.git/
.github/
tests/
*.log
*.md
venv/
.venv/
.pytest_cache/""",

    ".gitignore": """.env
__pycache__/
*.pyc
.venv/
venv/
*.log
.pytest_cache/""",
}

# ─── توليد المشروع ─────────────────────────────────────────
def generate_project(base_dir: str = "/tmp"):
    project = Path(base_dir) / PROJECT_NAME
    created = []

    print(f"\n🐳 توليد مشروع: {PROJECT_NAME}")
    print("="*55)

    for rel_path, content in FILES.items():
        file_path = project / rel_path
        file_path.parent.mkdir(parents=True, exist_ok=True)
        file_path.write_text(content)
        size = len(content.encode())
        print(f"  ✅ {rel_path:<35} ({size:>5} bytes)")
        created.append(file_path)

    return project, created

project_path, files = generate_project()

# ─── عرض هيكل المشروع ─────────────────────────────────────
print(f"\n📁 هيكل المشروع:")
print(f"  {PROJECT_NAME}/")
structure_display = [
    ("app/",             "حزمة التطبيق"),
    ("  __init__.py",    ""),
    ("  main.py",        "← FastAPI + Claude API"),
    ("requirements.txt", "← Python dependencies"),
    ("Dockerfile",       "← Docker build instructions"),
    ("docker-compose.yml","← Multi-service orchestration"),
    (".env.example",     "← Template (انسخ إلى .env)"),
    (".dockerignore",    "← Files to exclude"),
    (".gitignore",       "← Files to exclude from Git"),
]
for name, desc in structure_display:
    suffix = f"  {desc}" if desc else ""
    print(f"  ├── {name}{suffix}")

# ─── أوامر التشغيل ────────────────────────────────────────
print(f"\n🚀 خطوات تشغيل المشروع:")
steps = [
    ("انسخ مفتاح API",    "cp .env.example .env && nano .env"),
    ("بناء وتشغيل",       "docker compose up -d --build"),
    ("تحقق من السجلات",   "docker compose logs -f api"),
    ("اختبر الـ API",     "curl http://localhost:8080/health"),
    ("اختبر Claude",      'curl -X POST http://localhost:8080/chat -H "Content-Type: application/json" -d \'{"message": "مرحبا"}\''),
    ("إيقاف التطبيق",    "docker compose down"),
]
for i, (desc, cmd) in enumerate(steps, 1):
    print(f"\n  {i}. {desc}:")
    print(f"     $ {cmd[:70]}")

# ─── تنظيف ────────────────────────────────────────────────
import shutil
shutil.rmtree(project_path, ignore_errors=True)
print(f"\n✅ تم توليد {len(FILES)} ملف بنجاح!")
print(f"🎉 مبروك! أكملت دورة Docker & Linux")