comfy/artel/store/loader.py

77 wiersze
2.2 KiB
Python

import logging
import requests
import pandas as pd
from django.core.files.base import ContentFile
from store.models import (
ProductTemplate,
ProductTemplateParam,
Product,
ProductImage
)
logger = logging.getLogger(__name__)
class BaseLoader:
def __init__(self, path):
self.path = path
def load_data(self):
return pd.read_csv(self.path)
class TemplateLoader(BaseLoader):
...
class ProductLoader(BaseLoader):
def _get_images(self, row) -> list[ContentFile]:
urls = row["images"]
images = []
for url in urls:
response = requests.get(url, stream=True)
if response.status_code == 200:
data = response.raw
file_name = url.split("/")[-1]
image = ContentFile(data, name=file_name)
images.append(image)
return images
def _process_row(self, row):
template = ProductTemplate.objects.get(code=row["template"])
price = float(row["price"].strip("").replace(",", "."))
name = row["name"]
available = bool(row["available"])
params = []
for param in row["params"]:
key, value = param
param = ProductTemplateParam.objects.get(param__key=key, value=value)
params.append(param)
product = Product.objects.get_or_create_by_params(template=template, params=params)
product.price = price
product.name = name
product.available = available
# NOTE - temporary solution
# images = self._get_images(row)
# for i, image in enumerate(images):
# ProductImage.objects.create(product=product, image=image, is_main=bool(i==0))
product.save()
return product
def process(self):
data = self.load_data()
products = []
for _, row in data.iterrows():
try:
product = self._process_row(row)
except Exception as e:
# catch any error and log it, GlitchTip will catch it
logger.exception(str(e))
else:
products.append(product)
logger.info(f"Loaded {len(products)} products")