from fastapi import FastAPI, UploadFile, File, HTTPException

app = FastAPI()

@app.post("/upload/single")
async def upload_single(file: UploadFile = File(...)):
    # UploadFile: ملف محفوظ كملف مؤقت، وليس في الذاكرة
    content = await file.read()
    return {
        "filename": file.filename,
        "size": len(content),
        "content_type": file.content_type,
    }

# تم تعريف الدالة بنجاح

@app.post("/upload/multiple")
async def upload_multiple(files: list[UploadFile] = File(...)):
    results = []
    for file in files:
        content = await file.read()
        results.append({
            "filename": file.filename,
            "size": len(content),
        })
    return {"uploaded": len(results), "files": results}

# تم تعريف الدالة بنجاح

import shutil
from pathlib import Path
from fastapi import FastAPI, UploadFile, File

app = FastAPI()
UPLOAD_DIR = Path("uploads")
UPLOAD_DIR.mkdir(exist_ok=True)

@app.post("/upload/large")
async def upload_large_file(file: UploadFile = File(...)):
    # تدفق الملف إلى القرص - لا يُحمّل الملف بالكامل في الذاكرة أبدًا
    dest = UPLOAD_DIR / file.filename
    with open(dest, "wb") as buffer:
        # نسخ بكتل (مخزن مؤقت 64KB افتراضي)
        shutil.copyfileobj(file.file, buffer)
    
    file_size = dest.stat().st_size
    return {
        "filename": file.filename,
        "size_bytes": file_size,
        "saved_to": str(dest),
    }

# تم تعريف الدالة بنجاح

CHUNK_SIZE = 1024 * 1024  # كتل 1MB

@app.post("/upload/chunked")
async def upload_chunked(file: UploadFile = File(...)):
    dest = UPLOAD_DIR / file.filename
    bytes_written = 0
    with open(dest, "wb") as buffer:
        while chunk := await file.read(CHUNK_SIZE):
            buffer.write(chunk)
            bytes_written += len(chunk)
    return {"filename": file.filename, "bytes_written": bytes_written}

# تم تعريف الدالة بنجاح

import csv
import io
from fastapi import FastAPI, UploadFile, File, Depends
from app.tasks import import_prices_from_csv

app = FastAPI()
UPLOAD_DIR = Path("uploads")

@app.post("/api/v1/import/csv")
async def import_csv(
    file: UploadFile = File(..., description="ملف CSV ببيانات الأسعار"),
    user=Depends(require_subscription("pro")),
):
    if not file.filename.endswith(".csv"):
        raise HTTPException(status_code=400, detail="Only CSV files accepted")
    
    # حفظ الملف المرفوع
    dest = UPLOAD_DIR / f"{uuid4()}.csv"
    with open(dest, "wb") as buffer:
        shutil.copyfileobj(file.file, buffer)
    
    # تشغيل مهمة Celery للمعالجة غير المتزامنة
    task = import_prices_from_csv.delay(str(dest), user_id=user.id)
    
    return {
        "task_id": task.id,
        "filename": file.filename,
        "status": "processing",
        "message": "File uploaded. Check task status for progress.",
    }

# تم تعريف الدالة بنجاح

# app/tasks/import_tasks.py
from app.core.celery_app import celery_app
from pydantic import BaseModel, Field, field_validator
import csv

class PriceRow(BaseModel):
    product_id: int = Field(gt=0)
    price: float = Field(gt=0)
    currency: str = Field(default="USD", pattern=r"^[A-Z]{3}$")
    source: str = Field(max_length=100, default="csv_import")

    @field_validator("price")
    @classmethod
    def round_price(cls, v: float) -> float:
        return round(v, 2)

@celery_app.task(bind=True)
def import_prices_from_csv(self, file_path: str, user_id: int):
    valid_rows = []
    invalid_rows = []
    total_rows = 0
    
    with open(file_path, "r") as f:
        reader = csv.DictReader(f)
        for row in reader:
            total_rows += 1
            try:
                validated = PriceRow(**row)
                valid_rows.append(validated.model_dump())
            except Exception as e:
                invalid_rows.append({"row": total_rows, "error": str(e)})
            
            # الإبلاغ عن التقدم كل 10000 صف
            if total_rows % 10000 == 0:
                self.update_state(
                    state="PROGRESS",
                    meta={"current": total_rows, "valid": len(valid_rows), "invalid": len(invalid_rows)},
                )
    
    # إدراج دفعي للصفوف الصالحة
    batch_insert_prices(valid_rows, batch_size=5000)
    
    # تنظيف الملف المؤقت
    Path(file_path).unlink(missing_ok=True)
    
    return {
        "total": total_rows,
        "imported": len(valid_rows),
        "skipped": len(invalid_rows),
    }

# تم تعريف الدالة بنجاح

from fastapi import FastAPI
from fastapi.responses import FileResponse
from pathlib import Path

app = FastAPI()

@app.get("/download/prices/csv")
async def download_prices_csv(
    user=Depends(require_subscription("pro")),
):
    # توليد ملف CSV (أو استخدام ملف مُولَّد مسبقًا)
    file_path = Path("exports/prices.csv")
    return FileResponse(
        path=file_path,
        filename="price_data.csv",
        media_type="text/csv",
    )

# تم تعريف الدالة بنجاح

from fastapi.responses import StreamingResponse
import csv
import io
from app.core.deps import get_db

@app.get("/api/v1/export/prices")
async def export_prices(
    category: str | None = None,
    db: AsyncSession = Depends(get_db),
    user=Depends(require_subscription("pro")),
):
    async def generate_csv():
        output = io.StringIO()
        writer = csv.writer(output)
        writer.writerow(["product_id", "name", "price", "currency", "recorded_at"])
        yield output.getvalue()
        output.seek(0)
        output.truncate(0)
        
        # تدفق الصفوف على دفعات
        offset = 0
        batch_size = 5000
        while True:
            rows = await fetch_price_batch(db, category, offset, batch_size)
            if not rows:
                break
            for row in rows:
                writer.writerow([
                    row.product_id, row.name,
                    row.price, row.currency, row.recorded_at,
                ])
                yield output.getvalue()
                output.seek(0)
                output.truncate(0)
            offset += batch_size
    
    return StreamingResponse(
        generate_csv(),
        media_type="text/csv",
        headers={"Content-Disposition": "attachment; filename=prices.csv"},
    )

# تم تعريف الدالة بنجاح